CN119268091A - Heat pump wire controller for controlling room temperature and control method thereof - Google Patents
Heat pump wire controller for controlling room temperature and control method thereof Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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Abstract
本发明提供了一种控制室温的热泵线控器及其控制方法，热泵线控器包含数据采集组件、设备调整组件及无线通讯组件；控制方法包含：实时监测室内温度，并将室内温度反馈给控制组件；接收实时温度，并将实时温度与目标温度进行对比得到差值，按照调整策略，让热泵机组按照差值确认运行频率；通过无线网络与智能终端无线通讯，实现远程监控及控制，访问状态和设置。本发明不仅提高了系统的智能化水平和用户体验，通过智能控制，使热泵设备在运行时能够精确响应用需，从而减少不必要的能耗，推进节能目标；通过持续监控和智能调节，能有效维持较为恒定的室内温度，提升居住和使用的舒适感；能够适应不同的使用场景。
The present invention provides a heat pump wire controller for controlling room temperature and a control method thereof. The heat pump wire controller includes a data acquisition component, an equipment adjustment component and a wireless communication component; the control method includes: real-time monitoring of indoor temperature, and feeding back the indoor temperature to the control component; receiving the real-time temperature, and comparing the real-time temperature with the target temperature to obtain the difference, and according to the adjustment strategy, allowing the heat pump unit to confirm the operating frequency according to the difference; wireless communication with the intelligent terminal through a wireless network to achieve remote monitoring and control, access status and settings. The present invention not only improves the intelligence level of the system and user experience, but also enables the heat pump equipment to accurately respond to demand during operation through intelligent control, thereby reducing unnecessary energy consumption and promoting energy-saving goals; through continuous monitoring and intelligent adjustment, it can effectively maintain a relatively constant indoor temperature, improve the comfort of living and use; and can adapt to different usage scenarios.
Description
Technical Field
The invention relates to the technical field of air energy heat pumps, in particular to a heat pump drive-by-wire controller for controlling room temperature and a control method thereof.
Background
The variable-frequency heat pump unit is a heat pump system adopting a variable-frequency technology and is mainly used for providing heating and refrigerating functions, and by utilizing the principle of a heat pump, the heat energy transfer is realized by circulating liquid refrigerant in the system. For the existing variable-frequency heat pump unit, the energy requirements of the common unit are fed back through the water temperature difference (namely the difference between the real-time water inlet temperature and the target water inlet temperature or the difference between the real-time water outlet temperature and the target water outlet temperature), different energy requirements correspondingly output different compressor running frequencies, the starting, the frequency rising, the frequency dropping and the stopping of the compressor are controlled, the control is not carried out according to the real room temperature requirements, the unit control cannot be carried out according to the load requirements in the traditional control mode, and the problems of overlarge energy consumption, frequent starting and stopping and the like are easily caused.
In the prior art, the application number CN202311480453.4 discloses an air source heat pump system with an automatic temperature regulating function, which comprises a fan coil control module, a startup and shutdown module, a water supply pump control module, a pipe inlet and outlet pressure difference module, an air source heat pump machine and fan coil joint regulation module, a temperature sensor and a feedback fan coil water inlet temperature, a fan coil water outlet temperature and a fan coil water inlet and outlet temperature difference, wherein the fan coil is set with three speeds, the startup and shutdown module is used for automatically starting and shutting down according to room temperature, outdoor environment temperature difference and set temperature, the water supply pump control module is used for automatically regulating the frequency of a water pump by monitoring the comparison of pressure difference and a set value in real time. Although the complicated nonlinear relation can be learned through the neural network, the prediction accuracy is higher, the air source heat source temperature control system can predict and adjust strategies in advance, the optimal balance of room temperature and energy consumption is realized, the unit operation is automatically adjusted according to the set temperature and the current environment, and the automatic temperature adjustment function of the air source heat pump is realized. However, the temperature regulation mode causes the load of the air source heat pump system to be larger, and a large amount of energy consumption is increased.
In the second prior art, application number CN202110966313.2 discloses an intelligent defrosting control method, an intelligent defrosting control device, electronic equipment and a storage medium, and aims to solve the problem of indoor temperature reduction caused by the existing air energy heat pump in the defrosting process. When the air energy heat pump is detected to meet the defrosting condition, a target water supply loop is determined according to preset configuration parameters, wherein the target water supply loop is used for providing a heat source for the defrosting function of the air energy heat pump, at least one heating loop is closed, the opening state of the target water supply loop is kept, and the defrosting function of the air energy heat pump is started at preset time so that the air energy heat pump can defrost through the heat source provided by the target water supply loop. As the heating loop is closed in the defrosting process and the water supply loop is used as a heat source for defrosting, the problem that the indoor heating quality is affected due to the reduction of the room temperature caused by the change of the outlet water temperature of the air energy heat pump is avoided, and the heating stability of the air energy heat pump is improved. However, frequent start-up and stop of the compressor are liable to be caused, and further improvement is required in terms of reduction of energy consumption.
In the prior art, the application number CN202310057099.8 discloses an integrated intelligent temperature control system for energy storage of a photovoltaic heat pump and a control method thereof, wherein the system comprises a temperature control system for analyzing the working temperature of a lithium battery through collected temperature data information, a first control module for controlling to reduce or increase the temperature in the energy storage system of the lithium battery through adjusting and configuring a new material shell, a communication module for establishing communication between the temperature control system and a BMS battery management system of the energy storage lithium battery, storing photovoltaic power generation in the energy storage system of the lithium battery and establishing communication with a temperature control module of an air energy heat pump, and a second control module for controlling to allocate electric power to supply power to the air energy heat pump according to a preset temperature value set by a user until the room temperature is regulated to the preset temperature value. Although the solar energy heat pump can combine photovoltaic power generation, lithium battery energy storage and air energy heat pump refrigeration and heating, the linkage work of photovoltaic power generation, energy storage and heating and ventilation is realized. However, the control of room temperature is still realized by adopting a control mode of a compressor, so that the energy consumption is high.
The problems of overlarge energy consumption, frequent start and stop and the like are easily caused by the fact that the unit control is performed through load demands in the prior art I, the prior art II and the prior art III. Therefore, the invention provides the heat pump drive-by-wire device for controlling the room temperature and the control method thereof, and the heat pump unit carries out intelligent calculation by following the real-time water inlet and outlet temperature and the ambient temperature and the difference value between the real-time room temperature and the target room temperature so as to determine the running frequency of the heat pump.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a heat pump drive-by-wire device for controlling room temperature, comprising:
the data acquisition component is in charge of being installed indoors, monitoring the indoor temperature in real time and feeding back the indoor temperature to the control component;
The equipment adjusting component is in charge of receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain a difference value, and enabling the heat pump unit to confirm the operation frequency according to the difference value according to an adjusting strategy;
and the wireless communication assembly is in charge of wireless communication with the intelligent terminal through a wireless network, and realizes remote monitoring and control, access state and setting.
Optionally, the data acquisition component includes:
The equipment layout module is responsible for dividing an indoor space into a plurality of areas, and setting different types of temperature sensors according to different functional areas of a living room, a bedroom, a kitchen and the like in the indoor space;
The equipment operation module is in charge of collecting current temperature data of each temperature sensor at fixed time intervals and smoothing the temperature data;
and the weighting processing module is responsible for carrying out weighting processing on the readings of each temperature sensor based on the positions of the temperature sensors and environmental factors, setting a weight coefficient, and carrying out weighted average on the data of all the temperature sensors to obtain the final indoor real-time temperature.
Optionally, the device layout module includes:
The grid dividing sub-module is responsible for dividing grids of the indoor space to form a grid matrix, wherein each grid represents a certain area and volume;
The coverage statistics sub-module is responsible for giving a current grid cell temperature value to represent the temperature characteristic of the current grid when the distance between the central position of the measured temperature sensor and the center of the grid is smaller than the effective temperature measuring width of the temperature sensor in the traversal process;
The distance confirming sub-module is responsible for carrying out spatial clustering processing through a preset neighborhood range according to the coverage number gridding matrix to obtain a clustering area diagram, wherein in the clustering area diagram, the maximum temperature measuring width of each clustering area is determined according to the specification of a temperature sensor;
The result output sub-module is responsible for determining trend and distribution sequence numbers of the measuring lines based on the shape of the clustering area and total covered times, evenly distributing the measuring lines according to the trend, the distribution sequence numbers and the distance between the measuring lines of the clustering area to form coverage of temperature monitoring signals, respectively distributing infrared sensors, digital temperature sensors and temperature and humidity sensors according to low positions, middle positions and high positions, and determining temperature sensor distribution results of different functional areas, including positions, heights and types of stable sensors.
Optionally, the device operation module includes:
The coefficient acquisition sub-module is responsible for acquiring a historical temperature data sequence and a real-time temperature data sequence, acquiring a smooth adjustment coefficient according to the variance of temperature data in the historical temperature data sequence, acquiring a plurality of windows of the historical temperature data sequence, acquiring a reference application range of the smooth adjustment coefficient according to the data variance in the windows of the historical temperature data sequence, and acquiring an application range correction factor of the smooth adjustment coefficient under the first real-time temperature data according to the temperature data in the historical temperature data sequence and the real-time temperature data in the real-time temperature data sequence;
The range confirmation sub-module is responsible for regulating the reference application range of the smooth regulation coefficient by utilizing the application range correction factor of the smooth regulation coefficient under the real-time temperature data to obtain the application range of the smooth regulation coefficient under the real-time temperature data;
The data prediction sub-module is responsible for obtaining an application time interval of the smooth adjustment coefficient according to the application range of the smooth adjustment coefficient under real-time temperature data, and predicting the temperature data of each moment in the application time interval of the smooth adjustment coefficient according to the smooth coefficient.
Optionally, the device adjustment assembly includes:
The difference value calculation module is in charge of receiving the real-time temperature and the target room temperature and calculating the difference value between the real-time temperature and the target room temperature according to the real-time room temperature;
the threshold setting module is responsible for setting an upper limit threshold and a lower limit threshold of the adjustment strategy, wherein the upper limit threshold is set to be when the real-time room temperature reaches or exceeds the target room temperature, the heat pump unit stops working, and the lower limit threshold is set to be when the real-time room temperature is lower than the target room temperature, and the heat pump unit is started and heated;
The relation judging module is in charge of judging the relation between the real-time room temperature and the target room temperature according to the difference value, if the real-time room temperature is more than or equal to the target room temperature, the heat pump unit stops running, and if the real-time room temperature is less than the target room temperature, the real-time water inlet temperature, the real-time water outlet temperature and the environmental temperature are applied, and the running frequency of the heat pump unit is adjusted.
Optionally, the threshold setting module includes:
The initial threshold setting submodule is responsible for setting initial upper limit threshold and lower limit threshold according to the room temperature and the target temperature in the same period of history, and associating the caused upper limit threshold and lower limit threshold with an adjustment strategy;
The threshold adjustment setting submodule is responsible for setting an initial dynamic adjustment threshold of an upper limit threshold and a lower limit threshold, wherein the dynamic adjustment threshold comprises the starting frequency of the heat pump unit, and when the dynamic adjustment threshold is reached, the starting interval time of the heat pump unit is shortened;
the threshold value range adjusting sub-module is responsible for receiving the outdoor environment temperature, comparing the outdoor environment temperature with the historical outdoor environment temperature, evaluating the similarity between the current environment condition and the historical environment condition to determine the adjusting range of the target temperature, adjusting the dynamic adjusting threshold value based on the similarity and the adjusting range of the target temperature, and determining the adjusting amplitude of the initial upper limit threshold value and the initial lower limit threshold value according to the dynamic adjusting threshold value by adopting the fuzzy logic controller.
Optionally, the threshold range adjustment sub-module includes:
The fuzzy set making unit is responsible for processing the similarity by using the fuzzy logic controller, mapping the similarity to a corresponding dynamic adjustment threshold value, and dividing a similarity interval into fuzzy sets containing high similarity, medium similarity and low similarity;
the fuzzy rule processing unit is in charge of setting a fuzzy rule, increasing a dynamic adjustment threshold value if the similarity is high similarity, and reducing the dynamic adjustment threshold value if the similarity is low similarity;
The threshold adjustment execution unit is in charge of adjusting an initial upper limit threshold and a lower limit threshold according to the calculated dynamic adjustment threshold, the initial upper limit threshold is increased by the dynamic adjustment threshold, and the initial lower limit threshold is subtracted by the dynamic adjustment threshold to obtain an adjusted upper limit threshold and lower limit threshold.
Optionally, the relationship judging module includes:
The positive and negative judgment submodule is in charge of judging the positive and negative of the difference value, when the difference value is positive or zero, the real-time room temperature is more than or equal to the target room temperature, and when the difference value is negative, the real-time room temperature is less than the target room temperature;
The strategy adjustment sub-module is in charge of triggering the operation mode of the heat pump unit according to the result of the difference value, and stopping the operation of the heat pump unit when the difference value is positive or zero;
and the frequency monitoring sub-module is responsible for monitoring the operation frequency, and when the difference value is positive or zero, the heat pump unit stops operating.
Optionally, the heat pump wire controller for controlling the room temperature further comprises:
The display component is responsible for displaying the current room temperature, the target room temperature, the temperature of the water entering and exiting the room, and the temperature information of the environment;
The system comprises a power supply component, a state detection module, a fault alarm module and a control module, wherein the power supply component is responsible for providing a stable power supply for a heat pump wire controller;
And the storage component is responsible for storing the set target temperature, the historical temperature data and the running time information.
The invention provides a control method of a heat pump drive-by-wire controller for controlling room temperature, which comprises the following steps:
Monitoring the indoor temperature in real time and feeding back the indoor temperature to the control assembly;
Receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain a difference value, and enabling the heat pump unit to confirm the operating frequency according to the difference value according to an adjustment strategy;
The remote monitoring and control, access state and setting are realized through wireless communication between the wireless network and the intelligent terminal.
The data acquisition component monitors indoor temperature in real time, ensures that environmental information can be continuously acquired and updated, and provides accurate temperature data by using a high-precision temperature sensor. The intelligent control system has the advantages that the intelligent control of the heat pump drive-by-wire device according to the current indoor environment is ensured, the energy consumption waste or the comfort level reduction caused by inaccurate temperature sensing is avoided, abnormal conditions (such as severe temperature change) can be found in time by acquiring real-time data, and necessary coping strategies (such as rapid heating or refrigerating) are provided. The device adjusting component compares the real-time temperature with the target temperature to calculate a temperature difference value, and deduces the operating frequency of the heat pump unit according to the difference value and a preset adjusting strategy to realize the optimal performance. The intelligent control system has the advantages that the working frequency of the heat pump is accurately controlled, the energy efficiency ratio of the system is improved, the energy saving effect is achieved, the indoor temperature is kept within a set range, the living comfort is improved, discomfort caused by temperature fluctuation is avoided, intelligent operation is achieved, the manual adjustment requirement of a user is reduced, and the user experience is enhanced. The wireless communication assembly (4G communication module) realizes remote transmission and control of data through a wireless network, supports interaction between a user and the heat pump line controller through an intelligent terminal (such as a mobile phone, a tablet and the like), provides real-time state access, and enables the user to acquire temperature information and equipment operation state without being beside the equipment. The intelligent household intelligent monitoring system has the advantages that a convenient remote monitoring and control function is provided, a user can adjust temperature setting anywhere, the use flexibility is greatly improved, the intelligent household is realized, the user can link a plurality of devices, the convenience and the intelligent degree of life are improved, the consciousness of the user is enhanced, the environmental awareness is improved, the user can intuitively know the running state of the system, and the energy-saving behavior is facilitated.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram I of a heat pump drive-by-wire controller for controlling room temperature in embodiment 1 of the present invention;
FIG. 2 is a block diagram of a data acquisition component in embodiment 2 of the present invention;
FIG. 3 is a block diagram of a device layout module in embodiment 3 of the present invention;
FIG. 4 is a block diagram of an operation module of the device in embodiment 4 of the present invention;
FIG. 5 is a block diagram of a device adjustment assembly according to embodiment 5 of the present invention;
FIG. 6 is a block diagram of a threshold setting module in embodiment 6 of the present invention;
FIG. 7 is a block diagram of a threshold range adjustment submodule in embodiment 7 of the present invention;
FIG. 8 is a block diagram of a relationship determination module in embodiment 8 of the present invention;
fig. 9 is a block diagram two of a heat pump drive-by-wire controller for controlling room temperature in embodiment 9 of the present invention;
Fig. 10 is a flowchart of a control method of a heat pump drive-by-wire controller for controlling room temperature in embodiment 10 of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the application. As used in connection with embodiments of the application, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application as described in detail. In the description of the present application, it should be understood that the terms "first," "second," "third," and the like are used merely to distinguish between similar objects and are not necessarily used to describe a particular order or sequence, nor should they be construed to indicate or imply relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Embodiment 1 As shown in FIG. 1, the embodiment of the invention provides a heat pump wire controller for controlling room temperature, comprising:
the data acquisition component is in charge of being installed indoors, monitoring the indoor temperature in real time and feeding back the indoor temperature to the control component;
The equipment adjusting component is in charge of receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain a difference value, and enabling the heat pump unit to confirm the operation frequency according to the difference value according to an adjusting strategy;
and the wireless communication assembly is in charge of wireless communication with the intelligent terminal through a wireless network, and realizes remote monitoring and control, access state and setting.
The technical scheme has the working principle and beneficial effects that the data acquisition component is arranged indoors, monitors indoor temperature in real time and feeds back the indoor temperature to the control component, the equipment adjusting component receives the real-time temperature and compares the real-time temperature with target temperature to obtain a difference value, the heat pump unit confirms the operating frequency according to the difference value according to an adjusting strategy, and the wireless communication component is in wireless communication with the intelligent terminal through a wireless network to realize remote monitoring and control and access state and setting. The data acquisition component monitors indoor temperature in real time, ensures that environmental information can be continuously acquired and updated, and provides accurate temperature data by using a high-precision temperature sensor. The intelligent control system has the advantages that the intelligent control of the heat pump drive-by-wire device according to the current indoor environment is ensured, the energy consumption waste or the comfort level reduction caused by inaccurate temperature sensing is avoided, abnormal conditions (such as severe temperature change) can be found in time by acquiring real-time data, and necessary coping strategies (such as rapid heating or refrigerating) are provided. The device adjusting component compares the real-time temperature with the target temperature to calculate a temperature difference value, and deduces the operating frequency of the heat pump unit according to the difference value and a preset adjusting strategy to realize the optimal performance. The intelligent control system has the advantages that the working frequency of the heat pump is accurately controlled, the energy efficiency ratio of the system is improved, the energy saving effect is achieved, the indoor temperature is kept within a set range, the living comfort is improved, discomfort caused by temperature fluctuation is avoided, intelligent operation is achieved, the manual adjustment requirement of a user is reduced, and the user experience is enhanced. The wireless communication assembly (4G communication module) realizes remote transmission and control of data through a wireless network, supports interaction between a user and the heat pump line controller through an intelligent terminal (such as a mobile phone, a tablet and the like), provides real-time state access, and enables the user to acquire temperature information and equipment operation state without being beside the equipment. The intelligent household intelligent monitoring system has the advantages that a convenient remote monitoring and control function is provided, a user can adjust temperature setting anywhere, the use flexibility is greatly improved, the intelligent household is realized, the user can link a plurality of devices, the convenience and the intelligent degree of life are improved, the consciousness of the user is enhanced, the environmental awareness is improved, the user can intuitively know the running state of the system, and the energy-saving behavior is facilitated.
In summary, the cooperation of these components of the embodiment not only improves the intelligent level and user experience of the system, but also has the far-reaching significance of enabling the heat pump device to accurately respond to application demands during operation through intelligent control, thereby reducing unnecessary energy consumption, advancing energy-saving targets, effectively maintaining relatively constant indoor temperature through continuous monitoring and intelligent adjustment, improving living and use comfort, providing decisions based on data, enhancing the reliance of users on the device, encouraging the users to actively participate in management and optimizing energy use, and being capable of adapting to different use scenes, such as individual houses, offices, business spaces and the like, and realizing wide adaptability and flexibility. According to the embodiment, through effective cooperation of the components, the heat pump drive-by-wire controller can realize efficient and stable temperature control management, provide a comfortable indoor environment for a user, and respond to the requirements of modern intelligent home.
Compared with the traditional heat pump wire controller, the temperature sensor and the 4G module are integrated in the wire controller, and the temperature in the room can be detected in real time by installing the wire controller in the room, so that the controller is provided with conditions for controlling the heat pump according to the room temperature. The method is carried out by target room temperature, real-time water inlet, real-time water outlet, environmental temperature and the like. When the real-time room temperature is not less than the target room temperature, the heat pump unit stops running, when the real-time room temperature is not less than the target room temperature, the heat pump unit carries out intelligent calculation on the real-time water inlet and outlet temperature and the ambient temperature as well as the difference value between the real-time room temperature and the target room temperature to determine the running frequency of the heat pump, and the heat pump can also carry out function selection (whether the heat pump is controlled by the room temperature or not), and if the heat pump is not controlled by the room temperature, the heat pump unit is controlled by the conventional heat pump. This applies to different practical application scenarios.
The embodiment directly controls the operating frequency of the switch by the heat pump to the room temperature, thereby avoiding the problem of energy waste caused by traditional water temperature control, realizing real output as required, adjusting the load rate of the heat pump as required, and compared with the traditional control, if the control needs to start and stop by the room temperature control unit, the control device needs additional temperature control and linkage switch, and can only control the start and stop of the heat pump and not control the load rate of the heat pump.
Embodiment 2 As shown in FIG. 2, on the basis of embodiment 1, the data acquisition assembly provided in the embodiment of the present invention includes:
The equipment layout module is responsible for dividing an indoor space into a plurality of areas, and setting different types of temperature sensors according to different functional areas of a living room, a bedroom, a kitchen and the like in the indoor space;
The temperature sensor comprises a digital temperature sensor, an infrared sensor and a temperature and humidity sensor, and is used for capturing the temperature change of the environment;
The equipment operation module is in charge of collecting current temperature data of each temperature sensor at fixed time intervals and smoothing the temperature data;
and the weighting processing module is responsible for carrying out weighting processing on the readings of each temperature sensor based on the positions of the temperature sensors and environmental factors, setting a weight coefficient, and carrying out weighted average on the data of all the temperature sensors to obtain the final indoor real-time temperature.
The technical scheme has the working principle and beneficial effects that the equipment layout module divides an indoor space into a plurality of areas, sets different types of temperature sensors according to different functional areas such as a living room, a bedroom and a kitchen in the room, captures temperature differences at different height positions in each area in a mode of horizontally installing the temperature sensors at different heights, wherein the temperature sensors comprise digital temperature sensors, infrared sensors and temperature and humidity sensors and are used for capturing temperature changes of the environment, the infrared sensors can be used for detecting human body temperature so as to adjust the temperature of a hot spot area, the equipment operation module collects current temperature data at fixed time intervals, smoothes the temperature data, transmits the temperature data to a control assembly in a wired or wireless mode after the smoothing is finished, and sets weight coefficients for weighting and averaging the data of all the temperature sensors based on the positions of the temperature sensors and environmental factors to obtain the final indoor real-time temperature. The equipment layout module of the scheme divides the indoor space into different areas (such as living rooms, bedrooms and kitchens) and selects proper temperature sensor types according to the functional characteristics of each area, wherein in each area, the temperature sensors are horizontally installed at different heights (such as bottom, height and top) so as to capture the temperature change of different heights. The air flow and the temperature distribution at different positions are different, so that the environmental condition can be more comprehensively known. The method has the advantages that different indoor areas and heights can be covered more comprehensively by reasonably arranging the sensors of all types, so that more accurate environmental temperature data can be obtained, different sensors are arranged for different functional areas, the method can be better adapted to the use habit and the requirement of all areas, personalized adjustment is realized on the working effect of the heat pump, and the overall comfort is improved. Each temperature sensor of the equipment operation module collects current temperature data in a preset time interval, so that real-time indoor temperature monitoring is ensured; and smoothing the collected temperature data to reduce data jitter caused by environmental fluctuation or sensor errors so as to ensure the reliability and accuracy of the data. The method has the advantages that the system can continuously monitor the temperature change of each area, a latest data basis is provided for the next intelligent analysis, the smoothed data can more objectively reflect the real indoor temperature, the interference of a user caused by short-term temperature fluctuation in the using process is reduced, and therefore the user experience is improved. The weighting processing module sets the weight coefficient of each sensor according to the position information of the temperature sensor and different environmental factors, carries out weighting processing on each temperature reading, and carries out weighted average on all the temperature data after the weighting processing, thereby obtaining the final indoor real-time temperature. The method has the advantages that the relative positions of the sensors and the sensitivity of the sensors to heat sources (such as sunlight and radiators) can be considered through weighting processing, so that the indoor temperature can be estimated more accurately, and finally, the obtained real-time temperature data becomes an important target for decision making of a heat pump control system, so that the heat pump control system can run more intelligently and efficiently, and the management target of saving energy and achieving high comfort is achieved.
In summary, the modules of the present embodiment together implement an efficient and intelligent indoor temperature acquisition and monitoring system. The temperature monitoring system not only improves the accuracy and reliability of temperature monitoring, but also provides a solid foundation for intelligent control of the system, and finally creates a more comfortable and energy-saving living environment for users.
Embodiment 3 as shown in fig. 3, on the basis of embodiment 2, the device layout module provided in the embodiment of the present invention includes:
The grid dividing sub-module is responsible for dividing grids of the indoor space to form a grid matrix, wherein each grid represents a certain area and volume;
The coverage statistics sub-module is responsible for giving a current grid cell temperature value to represent the temperature characteristic of the current grid when the distance between the central position of the measured temperature sensor and the center of the grid is smaller than the effective temperature measuring width of the temperature sensor in the traversal process;
The distance confirming sub-module is responsible for carrying out spatial clustering processing through a preset neighborhood range according to the coverage number gridding matrix to obtain a clustering area diagram, wherein in the clustering area diagram, the maximum temperature measuring width of each clustering area is determined according to the specification of a temperature sensor;
The result output submodule is responsible for determining trend and distribution sequence numbers of the measuring lines based on the shape of the clustering area and total covered times, evenly distributing the measuring lines according to the trend, the distribution sequence numbers and the distance between the measuring lines of the clustering area to form coverage of temperature monitoring signals, respectively distributing infrared sensors, digital temperature sensors and temperature and humidity sensors according to low positions, middle positions and high positions, and determining temperature sensor distribution results of different functional areas, including positions, heights and types of stable sensors;
The method comprises the steps of determining the position on a measuring line according to the measuring ranges of an infrared sensor, a digital temperature sensor and a temperature and humidity sensor, (the position of a first temperature sensor is arbitrarily determined on the measuring line), determining the positions of other types of temperature sensors at the same position according to low position, middle position and high position, and obtaining the adjacent distance of the temperature sensors at the same type through the distance between the measuring lines.
The grid dividing sub-module of the embodiment performs grid division on an indoor space to form a grid matrix, each grid represents a certain area and volume, records the number of times that a temperature sensor covers each grid unit under a preset monitoring path to form a coverage grid matrix, the coverage statistics sub-module determines the distance between the central position of the temperature sensor and the central position of the grid when the distance between the central position of the temperature sensor and the central position of the grid is smaller than the effective temperature measurement width of the temperature sensor in the traversing process, endows the current grid unit with a temperature value to represent the temperature characteristic of the current grid, counts the temperature value of each grid unit after traversing is finished, records the coverage number to complete coverage statistics, the distance confirmation sub-module performs spatial clustering processing according to the coverage number grid matrix through a preset neighborhood range to obtain a clustering area diagram, determines the maximum temperature measurement width of each clustering area according to the specification of the temperature sensor in the clustering area diagram, determines the distance of each clustering area according to the ratio of the distance between the measuring path and the maximum temperature measurement width, outputs the shape and the trend of the clustering area according to the total trend of the coverage area, and the distribution number of the clustering area is determined according to the trend of the total line, distributing serial number and interval between measuring lines, uniformly distributing measuring lines to form coverage of temperature monitoring signals, respectively distributing infrared sensor, digital temperature sensor and temperature and humidity sensor according to low position, middle position and high position, and determining temperature sensor distribution results of different functional areas including position, height and type of stable sensor. The grid division submodule of the scheme realizes accurate grid division of the indoor space to generate a grid matrix, provides a basis for subsequent monitoring, ensures that each grid can independently monitor the temperature, tracks the coverage condition of the temperature sensor under a preset monitoring path, and forms a coverage number grid matrix. The method has the advantages that indoor temperature distribution can be systematically recorded and analyzed through grid division, detailed space temperature characteristics are provided, temperature differences in the space can be detected and identified, and the establishment of an intelligent temperature control strategy is supported. And the coverage statistics sub-module automatically assigns a value to the current grid unit when the distance between the center position of the sensor and the center of the grid is smaller than the effective temperature measurement width in the traversal process, and provides the temperature value and coverage frequency statistics of each grid to form comprehensive coverage statistics data. The method has the advantages of realizing the accuracy of temperature measurement, ensuring that the temperature characteristics can truly reflect the indoor environment, and being beneficial to evaluating the effectiveness of sensor arrangement and whether the position needs to be adjusted by recording the coverage times. The distance confirming sub-module combines the coverage number gridding matrix, performs spatial clustering on the data through the neighborhood range to generate a clustering area diagram, determines the maximum temperature measurement width of each clustering area, and calculates the distance between the measuring lines of each clustering area. The method has the significance that the optimal configuration of the temperature monitoring areas is realized through clustering, the sufficient temperature data support of each area is ensured, and the method is favorable for formulating a reasonable measurement strategy, so that the sensor layout is efficient and practical. The result output submodule determines trend and distribution strategy of the measuring lines, evenly distributes the measuring lines to realize temperature monitoring signal coverage, distributes different types of temperature sensors according to preset height classifications (low level, middle level and high level), and ensures adaptation to different measurement requirements. The method has the advantages that the final sensor layout result provides a basis for effective operation of the indoor temperature monitoring system, ensures temperature monitoring coverage of different functional areas, and can pertinently improve the temperature control effect according to the trend of the measuring line and the type of the sensor, thereby optimizing the indoor environment and improving the energy utilization efficiency.
In summary, the design and mutual cooperation of the sub-modules of the embodiment ensures accurate and comprehensive temperature monitoring in a complex indoor environment. Through the layering design for the system can handle the functional requirement of different rooms, promotes user experience and environmental comfort simultaneously. In the whole, the equipment layout module not only provides a clear direction for engineering implementation, but also provides an actual reference basis for subsequent data analysis and application, and is beneficial to the accurate control and management of intelligent home and buildings.
Embodiment 4 As shown in FIG. 4, on the basis of embodiment 2, the device operation module provided in the embodiment of the present invention includes:
The coefficient acquisition sub-module is responsible for acquiring a historical temperature data sequence and a real-time temperature data sequence, acquiring a smooth adjustment coefficient according to the variance of temperature data in the historical temperature data sequence, acquiring a plurality of windows of the historical temperature data sequence, acquiring a reference application range of the smooth adjustment coefficient according to the data variance in the windows of the historical temperature data sequence, and acquiring an application range correction factor of the smooth adjustment coefficient under the first real-time temperature data according to the temperature data in the historical temperature data sequence and the real-time temperature data in the real-time temperature data sequence;
The range confirmation sub-module is responsible for regulating the reference application range of the smooth regulation coefficient by utilizing the application range correction factor of the smooth regulation coefficient under the real-time temperature data to obtain the application range of the smooth regulation coefficient under the real-time temperature data;
The data prediction sub-module is responsible for obtaining an application time interval of the smooth adjustment coefficient according to the application range of the smooth adjustment coefficient under real-time temperature data, and predicting the temperature data of each moment in the application time interval of the smooth adjustment coefficient according to the smooth coefficient.
The technical scheme has the advantages that the coefficient acquisition submodule acquires a historical temperature data sequence and a real-time temperature data sequence, obtains a smooth adjustment coefficient according to variance of temperature data in the historical temperature data sequence, acquires a plurality of windows of the historical temperature data sequence, obtains a reference application range of the smooth adjustment coefficient according to the data variance in the windows of the historical temperature data sequence, obtains an application range correction factor of the smooth adjustment coefficient under first real-time temperature data according to temperature data in the historical temperature data sequence and real-time temperature data in the real-time temperature data sequence, and adjusts the reference application range of the smooth adjustment coefficient by using the application range correction factor of the smooth adjustment coefficient under the real-time temperature data to obtain an application range of the smooth adjustment coefficient under the real-time temperature data, and the data prediction submodule predicts the temperature data of each moment in the application time range of the smooth adjustment coefficient according to the smooth adjustment coefficient. The coefficient acquisition submodule of the scheme acquires the historical temperature data sequence and the real-time temperature data sequence, can provide background information of temperature monitoring, is beneficial to understanding trend of temperature change, obtains a smooth adjustment coefficient by calculating variance of historical temperature data, is used for evaluating and adjusting fluctuation of the temperature data and can help reduce noise caused by transient change, the historical data consists of a plurality of windows, and a reference application range of the smooth adjustment coefficient is determined by variance analysis, so that basis is provided for subsequent adjustment and correction. The method has the advantages that the accuracy and the credibility of the real-time monitoring data are ensured, the real change of the temperature data is reflected through the smooth adjustment coefficient, and the method is beneficial to the stable analysis and decision of future data. The range confirmation submodule dynamically adjusts the reference application range of the previously calculated smooth coefficient by utilizing the smooth adjustment coefficient application range correction factor calculated under the real-time temperature data, and can adaptively adjust the smooth adjustment coefficient according to the real-time data change to provide an adjustment range which is more in line with the current environment. The method has the significance that by calibrating the smooth adjustment coefficient in real time, the data processing can reflect the latest temperature change condition, and the information deviation possibly caused by hysteresis is reduced, so that the response capacity and the stability of the whole system are improved. The data prediction sub-module predicts the temperature data at the future moment according to the application range of the smooth adjustment coefficient under the real-time temperature data, reasonably predicts by utilizing the trend of the data and the current environment state, and definitely and smoothly adjusts the application time interval of the coefficient, so that the predicted data is ensured to be in a reasonable range, and the reliability of the data is enhanced. The method has the significance that the basis is provided for intelligent control or intervention through the predicted temperature data, the reaction can be performed in advance under the condition of a peak demand or abnormal climate, and the method is important to the aspects of energy management, environmental control, comfort maintenance and the like.
In summary, each sub-module of the embodiment forms a set of dynamic temperature monitoring and adjusting system through the collection and analysis of the historical data, the real-time data adjustment and the prediction of the future temperature data in the earlier stage. The method has the advantages of improving the accuracy of temperature monitoring, enhancing the response capability of the system, providing reliable data prediction, providing foundation and guarantee for subsequent temperature control and management, and further realizing the optimization of environment and the efficient utilization of resources. The method is beneficial to improving the precision and efficiency of temperature control in intelligent home, intelligent building or industrial environment, and simultaneously enhancing the self-adaptive capacity of the system, so as to enable the system to better cope with continuously changing internal and external environmental conditions.
Embodiment 5 As shown in FIG. 5, on the basis of embodiment 1, the device adjusting assembly provided in the embodiment of the present invention comprises:
The difference value calculation module is in charge of receiving the real-time temperature and the target room temperature and calculating the difference value between the real-time temperature and the target room temperature according to the real-time room temperature;
The threshold setting module is responsible for setting an upper limit threshold and a lower limit threshold of the adjustment strategy, wherein the upper limit threshold is set to be when the real-time room temperature reaches or exceeds the target room temperature (+1 ℃), the heat pump unit stops working, and the lower limit threshold is set to be when the real-time room temperature is lower than the target room temperature (-1 ℃), and the heat pump unit is started and heated;
the relation judging module is in charge of judging the relation between the real-time room temperature and the target room temperature according to the difference value, and if the real-time room temperature is more than or equal to the target room temperature, stopping the operation of the heat pump unit, and if the real-time room temperature is less than the target room temperature, adjusting the operation frequency of the heat pump unit by using the real-time water inlet temperature, the real-time water outlet temperature and the environmental temperature;
The target value calculation expression of the operating frequency is:
text Operating frequency (f)＝k1·text Difference value +k2 (real-time inlet temperature-real-time outlet temperature) +k 3 (ambient temperature-real-time outlet temperature);
Where k 1,k2 and k 3 represent empirical adjustment coefficients.
The working principle and the beneficial effects of the technical scheme are that the difference value calculation module of the embodiment receives real-time room temperature and target room temperature and calculates the difference value with the target room temperature according to the real-time room temperature, the threshold setting module sets the upper limit threshold and the lower limit threshold of the adjustment strategy, the upper limit threshold is set to be when the real-time room temperature reaches or exceeds the target room temperature (+1 ℃), the heat pump unit stops working, the lower limit threshold is set to be when the real-time room temperature is lower than the target room temperature (-1 ℃), the heat pump unit starts and heats, the relation judgment module judges the relation between the real-time room temperature and the target room temperature according to the difference value, if the real-time room temperature is more than or equal to the target room temperature, the heat pump unit stops working, if the real-time room temperature is less than the target room temperature, the real-time water inlet temperature, the real-time water outlet temperature and the environmental temperature are applied, the operation frequency of the heat pump unit is adjusted, the difference value calculation module of the scheme continuously receives the real-time room temperature and the target room temperature, calculates the difference value between the real-time room temperature, and the real-time temperature, and the key information required for temperature control is provided through simple mathematical operation. The method has the significance that the calculation of the difference value is the basis of all subsequent adjustment strategies, a quantitative basis is provided for judging whether the indoor temperature accords with a preset target, and the accurate calculation of the difference value can help the system to flexibly adjust the running state of the heat pump unit, so that the environmental comfort is improved. The threshold setting module determines upper and lower limit thresholds according to the setting rule. When the real-time room temperature reaches the upper limit (+1 ℃) of the target room temperature, the system stops the heat pump, otherwise, if the room temperature is lower than the lower limit (-1 ℃) of the target room temperature, the heat pump is started for heating. This module refines and standardizes the strategy of temperature control in the system. The method has the advantages that the arrangement of the upper limit threshold and the lower limit threshold effectively avoids frequent start and stop of the heat pump, and reduces abrasion and energy consumption of equipment. In addition, through preventing that the temperature is too high or too low, ensured indoor environment's travelling comfort and security, promoted user experience. The relation judging module judges the relation between the real-time room temperature and the target room temperature by utilizing the difference value and the set threshold value, and determines the starting and stopping states of the heat pump unit through logic judgment. The method has the significance that the real-time relation judgment allows the system to quickly respond at unsuitable temperature, so that resource waste and user discomfort are avoided. The running state of the equipment is effectively coordinated, and the energy efficiency and the comfort level of users are ensured; the target value calculation optimizes the operation efficiency of the heat pump, ensures that the heating or cooling is carried out according to the actual requirement rather than the fixed mode, and can maintain the target room temperature more accurately according to the current environment condition by means of adaptive adjustment, thereby greatly improving the energy efficiency and the comfort.
In summary, the embodiment realizes high-efficiency and intelligent control of the heat pump unit through real-time monitoring, intelligent judgment and accurate calculation, avoids resource waste through real-time feedback and intelligent adjustment, ensures that the indoor environment is always maintained in a comfortable range set by a user, prolongs the service life of equipment, reduces abrasion through reducing frequent starting and stopping of the equipment, realizes automatic control, reduces manual intervention of the user and improves the intelligent level of the system. The environment control becomes more intelligent, efficient and flexible so as to meet the dual requirements of modern family or business environments for comfort and energy efficiency.
Embodiment 6 as shown in fig. 6, on the basis of embodiment 5, the threshold setting module provided in the embodiment of the present invention includes:
The initial threshold setting submodule is responsible for setting initial upper limit threshold and lower limit threshold according to the room temperature and the target temperature in the same period of history, and associating the caused upper limit threshold and lower limit threshold with an adjustment strategy;
The threshold adjustment setting submodule is responsible for setting an initial dynamic adjustment threshold of an upper limit threshold and a lower limit threshold, wherein the dynamic adjustment threshold comprises the starting frequency of the heat pump unit, and when the dynamic adjustment threshold is reached, the starting interval time of the heat pump unit is shortened;
the threshold value range adjusting sub-module is responsible for receiving the outdoor environment temperature, comparing the outdoor environment temperature with the historical outdoor environment temperature, evaluating the similarity (Euclidean distance) between the current environment condition and the historical environment condition to determine the adjusting range of the target temperature, adjusting the dynamic adjusting threshold value based on the similarity and the adjusting range of the target temperature, and determining the adjusting amplitude of the initial upper limit threshold value and the initial lower limit threshold value according to the dynamic adjusting threshold value by adopting the fuzzy logic controller.
The working principle and the beneficial effects of the technical scheme are that an initial threshold setting submodule of the embodiment sets an initial upper limit threshold and a lower limit threshold according to historical synchronous room temperature and target temperature, the upper limit threshold and the lower limit threshold are related to an adjustment strategy, the difference value between the real-time room temperature and the target room temperature confirms whether a heat pump unit needs to be started or not according to the initial upper limit threshold and the initial lower limit threshold, the threshold adjustment setting submodule sets an initial upper limit threshold and a dynamic adjustment threshold of the lower limit threshold, the dynamic adjustment threshold comprises a heat pump unit starting frequency, when the dynamic adjustment threshold is reached, the heat pump unit starting interval time is shortened, the threshold range adjustment submodule receives outdoor environment temperature and compares the outdoor environment temperature with the historical outdoor environment temperature, the similarity of the current environment condition and the historical environment condition is evaluated to determine the adjustment range of the target temperature, the dynamic adjustment threshold is adjusted based on the adjustment range of the similarity and the target temperature, and a fuzzy logic controller is adopted to determine the initial upper limit threshold and the adjustment range of the lower limit threshold according to the dynamic adjustment threshold. the initial threshold setting submodule of the scheme automatically calculates and sets initial upper limit threshold and lower limit threshold according to the historical contemporaneous room temperature and target temperature data, associates the initial threshold with corresponding adjustment strategies to ensure that the system can perform proper reaction under different environmental conditions, monitors the difference value between the room temperature and the target room temperature in real time, and judges whether the difference value exceeds the set initial threshold or not, thereby determining whether the heat pump unit needs to be started or not. The method has the advantages that uncertainty caused by human intervention can be reduced by setting the threshold value based on historical data, a stable foundation is provided, the heat pump unit is ensured to be started only when necessary, energy is saved, the overall efficiency of the system is improved, the comfort experience of a user is improved by closely monitoring the difference between the indoor temperature and the target temperature, and the temperature fluctuation sensation is reduced. The threshold value adjusting and setting submodule provides an adjusting function of starting frequency of the heat pump unit, when the threshold value is dynamically adjusted, the system can shorten starting interval time of the heat pump unit, and the threshold value is adjusted according to response speed to external environment and user demand change so as to maintain indoor comfortable temperature. The method has the advantages that the system can adapt to sudden temperature change faster by shortening the starting interval, the response speed is improved, discomfort felt by a user is avoided, the starting mechanism based on the dynamic adjustment threshold value can be used for more effectively using energy, the energy consumption of the system is reduced, the service life of equipment is prolonged, and the system can automatically optimize the operation strategy according to the real-time condition to gradually form self-adaptive control capability. The threshold range adjusting submodule receives and analyzes the outdoor environment temperature, evaluates the similarity between the current environment condition and the historical condition, adjusts the dynamic adjusting threshold of the target temperature according to the similarity evaluation result, realizes more flexible control through the fuzzy logic controller, and determines the adjusting amplitude of the initial upper limit threshold and the initial lower limit threshold based on the similarity so as to ensure that the system is kept in a proper operation range. The intelligent temperature control system has the advantages that by comparing the similarity between the real-time environment and the historical environment, the system can accurately judge when the target temperature or the operation strategy needs to be adjusted, the capability of the system for adapting to the changing environment is enhanced, the fuzzy logic controller can process inaccurate or fuzzy information, smoother temperature control is achieved, abrupt changes caused by a traditional control method are avoided, the system can provide finer and personalized temperature control experience for users through the aid of an intelligent algorithm, comfort is optimized, and user satisfaction is enhanced.
In summary, the threshold setting module of the present embodiment may implement accurate control of the indoor temperature by integrating the functions of the respective sub-modules. The synergistic effect among the sub-modules has the following effects that the energy efficiency of the whole system is improved, the energy consumption and the operation cost are reduced, the comfortable experience of a user is continuously optimized through intelligent adjustment, the sudden discomfort caused by environmental change is avoided, and the whole system can effectively react to the environmental change and flexibly adjust, so that an intelligent and automatic temperature control solution is formed. The threshold setting module not only improves the operation efficiency of the system, but also finds a good balance between user comfort and resource saving, and has important practical application significance.
Embodiment 7 as shown in fig. 7, on the basis of embodiment 6, the threshold range adjustment submodule provided in the embodiment of the present invention includes:
The fuzzy set making unit is responsible for processing the similarity by using the fuzzy logic controller, mapping the similarity to a corresponding dynamic adjustment threshold value, and dividing a similarity interval into fuzzy sets containing high similarity, medium similarity and low similarity;
the fuzzy rule processing unit is in charge of setting a fuzzy rule, increasing a dynamic adjustment threshold value if the similarity is high similarity, and reducing the dynamic adjustment threshold value if the similarity is low similarity;
The threshold adjustment execution unit is in charge of adjusting an initial upper limit threshold and a lower limit threshold according to the calculated dynamic adjustment threshold, the initial upper limit threshold is increased by the dynamic adjustment threshold, and the initial lower limit threshold is subtracted by the dynamic adjustment threshold to obtain an adjusted upper limit threshold and lower limit threshold.
The fuzzy set making unit of the technical scheme has the advantages that the fuzzy set making unit utilizes the fuzzy logic controller to process the similarity, maps the similarity to corresponding dynamic adjustment thresholds, divides a similarity interval into fuzzy sets comprising high similarity, medium similarity and low similarity, sets a fuzzy rule, increases the dynamic adjustment thresholds if the similarity is high similarity, decreases the dynamic adjustment thresholds if the similarity is low similarity, correspondingly generates specific dynamic thresholds according to output of the fuzzy rule, the specific increasing and decreasing criteria can be preset, the threshold adjustment executing unit adjusts initial upper limit thresholds and lower limit thresholds according to the calculated dynamic adjustment thresholds, the initial upper limit thresholds are increased by the dynamic adjustment thresholds, and the initial lower limit thresholds are subtracted by the dynamic adjustment thresholds to obtain adjusted upper limit thresholds and lower limit thresholds. The fuzzy set making unit of the scheme processes the similarity through the fuzzy logic controller and divides the similarity into a plurality of fuzzy sets. These sets typically include three cases, "high similarity", "medium similarity" and "low similarity", and this partitioning can handle ambiguity and uncertainty, facilitating a more flexible response of the system to environmental changes. The method has the advantages that a basic data pattern is provided for fuzzy control, so that the system can reasonably judge when the system faces uncertain environment variables, the system can keep adaptability in complex and changeable environments, temperature control errors caused by environment fluctuation are reduced, and a user is ensured to continuously feel comfortable indoor environment. The fuzzy rule processing unit processes the fuzzy set and sets corresponding fuzzy rules. For example, if the similarity is "high similarity", the dynamic adjustment threshold is increased, if the similarity is "low similarity", the dynamic adjustment threshold is decreased, and according to the output of the fuzzy rule, specific dynamic adjustment thresholds are generated for different similarity situations. The intelligent control system has the advantages that the design of the unit realizes the intellectualization of the algorithm, so that the system can respond according to data and can automatically adjust the response strategy based on the preset rule, the fuzzy rule processing is beneficial to ensuring the self-adaptive change of the system and reducing the negative influence caused by sensor errors or external interference, and the overall stability and the accuracy of the system are enhanced. The threshold adjustment execution unit adjusts the initial upper threshold and lower threshold according to the calculated dynamic adjustment threshold. Specifically, the initial upper threshold value is increased by the dynamic adjustment threshold value, and the initial lower threshold value is decreased by the dynamic adjustment threshold value, thereby obtaining new upper and lower threshold values. The method has the advantages of realizing flexible dynamic adjustment of the temperature control system, enabling the system to timely cope with environmental changes, keeping the feedback, ensuring that the temperature is in a comfortable range, improving the self-adaptive capacity of the whole system, realizing optimal energy utilization efficiency and ensuring comfortable experience of users. The method is not only beneficial to improving the satisfaction of users, but also realizes energy conservation and emission reduction to a certain extent and promotes environmental protection.
In summary, the embodiment forms a closed-loop control system, and intelligent temperature control based on fuzzy logic is realized. By measuring and processing environmental changes, the system can self-adjust under complex and uncertain conditions, thereby achieving the final goals of optimizing energy consumption and improving user experience and environmental comfort. Meanwhile, the modularized design ensures that the system has high expandability and can flexibly cope with possible technical development and business demands in the future.
Embodiment 8 as shown in fig. 8, on the basis of embodiment 5, the relationship determination module provided in the embodiment of the present invention includes:
The positive and negative judgment submodule is in charge of judging the positive and negative of the difference value, when the difference value is positive or zero, the real-time room temperature is more than or equal to the target room temperature, and when the difference value is negative, the real-time room temperature is less than the target room temperature;
The strategy adjustment sub-module is in charge of triggering the operation mode of the heat pump unit according to the result of the difference value, and stopping the operation of the heat pump unit when the difference value is positive or zero;
and the frequency monitoring sub-module is responsible for monitoring the operation frequency, and when the difference value is positive or zero, the heat pump unit stops operating.
The technical scheme has the working principle and beneficial effects that the positive and negative judging submodule judges the positive and negative of the difference value, when the difference value is positive or zero, the real-time room temperature is more than or equal to the target room temperature, when the difference value is negative, the real-time room temperature is less than the target room temperature, the strategy adjusting submodule triggers the operation mode of the heat pump unit according to the result of the difference value, when the difference value is positive or zero, the heat pump unit stops operation, when the difference value is negative, the real-time water inlet temperature, the real-time water outlet temperature and the environment temperature are obtained, the operation frequency of the heat pump unit is adjusted according to a preset strategy, the frequency monitoring submodule monitors the operation frequency, and when the difference value is positive or zero, the heat pump unit stops operation. The positive and negative judgment submodule of the scheme analyzes and judges the positive and negative of the difference value, provides a definite judgment standard, lays a foundation for subsequent decision execution, can effectively identify the current temperature state by accurately judging the temperature difference, thereby adopting corresponding control measures to ensure comfortable indoor environment, and can help the system to reduce misoperation, avoid unnecessary energy consumption and equipment friction, and further improve the overall operation efficiency of the heat pump. And when the difference value is negative, the real-time water inlet temperature, the water outlet temperature and the environment temperature are used as input data, and the operating frequency of the heat pump unit is determined according to a preset adjusting strategy. The intelligent energy-saving heat pump system has the advantages that the energy consumption can be indirectly optimized by the submodule according to the environmental conditions and the requirements of users through dynamic adjustment of the running state of the heat pump unit, effective response to a real-time environment is achieved, the heat pump is ensured to be heated timely under the condition of needs, meanwhile, the waste of energy sources is prevented, in addition, the user experience is improved, the heating can be provided timely when the temperature is lower than a set value, and the indoor comfort level is maintained. When the difference value is positive or zero, the frequency monitoring submodule monitors that the heat pump unit stops running, ensures that the system is in an energy-saving state, and can feed back the change condition of the running frequency in real time so that the system can respond immediately. The frequency monitoring sub-module provides real-time feedback of the running state for the heat pump unit, allows the system to timely identify whether the equipment works according to the expected state, can prevent equipment faults caused by overload or improper frequency by effectively monitoring the frequency, prolongs the service life of the equipment, reduces the operation and maintenance cost, and ensures that the heat pump unit stops running when not necessary, thereby being beneficial to saving electric power and supporting the environmental protection target.
In summary, the present embodiment forms a relationship judging module together, and realizes intelligent and automatic management of the heat pump unit through clear judgment and effective control strategy. The intelligent temperature control system has the comprehensive effects of being capable of adjusting an operation strategy according to indoor and outdoor temperature difference, improving adaptability to environmental changes, avoiding unnecessary energy consumption, ensuring efficient operation of a heat pump unit, starting a heat pump in time when heating is needed, stopping after reaching a set temperature, providing a comfortable living environment, and being beneficial to achieving the aim of an intelligent temperature control system through reasonable configuration and linkage, so that the intelligent temperature control system is efficient and has good user experience.
Embodiment 9 As shown in FIG. 9, on the basis of embodiment 1, the heat pump wire controller for controlling room temperature provided by the embodiment of the invention further comprises:
The display component is responsible for displaying the current information such as room temperature, target room temperature, water inlet and outlet temperature, ambient temperature and the like;
The system comprises a power supply component, a state detection module, a fault alarm module and a control module, wherein the power supply component is responsible for providing a stable power supply for a heat pump wire controller;
and the storage component is responsible for storing information such as set target temperature, historical temperature data, operation time length and the like.
The technical scheme has the working principle and beneficial effects that the display component of the embodiment displays the current information of room temperature, target room temperature, water inlet and outlet temperature, ambient temperature and the like, the adjustment of the target temperature is realized through the interactive interface, the power supply component provides a stable power supply for the heat pump drive-by-wire device, the state detection module is arranged at the same time for monitoring the temperature, voltage and current of the power supply, fault alarm is carried out when the temperature, voltage and current of the power supply exceed the corresponding threshold values, and the storage component stores the set information of the target temperature, historical temperature data, operation time and the like. The display component visualization of the scheme is helpful for a user to know the current working state of the system, and in addition, the user can conveniently adjust the target temperature through the interactive interface. The method has the advantages of providing visual information feedback, improving the understanding of the user on the system state, enabling the user to reasonably adjust the target room temperature according to the actual requirement, simplifying the interaction process of the user and the system through the interaction interface, and improving the user experience. The real-time monitoring and temperature adjustment enable the user to better control the indoor environment and maintain comfort. The power supply component provides stable power for the heat pump drive-by-wire device and all the related components thereof to ensure the continuous and normal operation of the system, meanwhile, the component also has a state detection function, can monitor the temperature, the voltage and the current of the power supply in real time, and can give out fault alarm to remind a user or carry out safe shutdown when the monitored value exceeds a preset threshold value. The system has the advantages that the stable power supply is the basis for ensuring the safe and efficient operation of the heat pump drive-by-wire device and related equipment, the working efficiency and the safety of the system are possibly influenced by any power supply fluctuation, the safety of the system is enhanced by the fault detection and alarm function, and potential problems can be found in time, so that equipment damage and safety accidents are avoided, the maintenance cost is reduced, and the reliability of the system is improved. The storage component provides data support for the running state of the system, and the stored data can provide basis for subsequent analysis and optimization, so as to support intelligent decision-making or system learning. The intelligent control system has the advantages that through recording historical data, the storage component can help a user to know the use history and the operation mode of the equipment, so that more proper setting adjustment can be made, the use efficiency of the heat pump is optimized, in addition, the storage of the historical temperature and the operation time is beneficial to system maintenance and fault diagnosis, technicians can conveniently call data for analysis when needed, the maintenance efficiency of the equipment is improved, long-term data accumulation and analysis can provide a basis for optimizing an intelligent control strategy, a higher-level learning algorithm and a prediction model are supported, and finally the overall intelligent level of the system is improved.
In summary, the embodiment forms an important functional framework of the heat pump drive-by-wire device together, and the cooperative work achieves the following comprehensive effects that through real-time data display and interactive design of the display component, a user can conveniently monitor and adjust indoor temperature and improve living comfort, the power component ensures that the system operates under a stable and safe power supply and can provide timely maintenance information through fault alarm, the storage component provides data support for subsequent system optimization and decision, intelligent characteristics of the system are enhanced, efficient, stable and safe operation of the heat pump drive-by-wire device is guaranteed, and user experience and system intelligent level are improved.
Embodiment 10 as shown in fig. 10, on the basis of embodiments 1 to 9, the control method of the heat pump drive-by-wire device for controlling room temperature provided by the embodiment of the invention comprises the following steps:
S100, monitoring the indoor temperature in real time and feeding back the indoor temperature to the control assembly;
s200, receiving the real-time temperature, comparing the real-time temperature with the target temperature to obtain a difference value, and enabling the heat pump unit to confirm the operation frequency according to the difference value according to an adjustment strategy;
s300, realizing remote monitoring and control, access state and setting through wireless communication between the wireless network and the intelligent terminal.
The technical scheme has the working principle and beneficial effects that the indoor temperature is monitored in real time firstly and fed back to the control assembly, the real-time temperature is received secondly, the real-time temperature is compared with the target temperature to obtain a difference value, the heat pump unit confirms the operating frequency according to the difference value according to an adjustment strategy, and finally the heat pump unit is in wireless communication with the intelligent terminal through a wireless network to realize remote monitoring and control, access state and setting. The step S100 of the scheme realizes real-time monitoring of the indoor temperature, ensures that the system can acquire the latest environmental data, and transmits the detected indoor temperature data to the control component for subsequent processing after the monitoring is finished. The method has the advantages that basic data support is provided by real-time monitoring, follow-up temperature judgment and control decision are guaranteed based on the latest state, the heat pump can quickly respond to environmental changes, the efficiency of room temperature adjustment is improved, the whole temperature control system becomes more dynamic and intelligent by a feedback mechanism, good interaction circulation between a user and the system is facilitated, and a more comfortable indoor environment is provided for the user. Step S200 receives the real-time temperature, compares the real-time temperature with the target temperature to obtain a difference value, enables the heat pump unit to confirm the operation frequency according to the difference value according to an adjustment strategy, receives the fed-back real-time room temperature by the control component, compares the fed-back real-time room temperature with the target temperature set by a user, calculates a temperature difference (difference value), and determines the operation frequency required by the heat pump unit according to a preset adjustment strategy and correspondingly adjusts the operation frequency. The meaning is that the calculation of the difference value and the subsequent confirmation of the operation frequency are key to realizing accurate temperature control. The heat pump can flexibly adjust the running state according to the actual demand, avoid overheating or refrigerating, thereby improving the energy efficiency, effectively prevent energy waste by determining the running frequency, ensure that the system provides enough power when the demand is highest, reduce the power output when the demand is low, and prolong the service life of equipment. Step S300 is to realize remote monitoring and control by wireless communication between the wireless network and the intelligent terminal, access state and setting allow the heat pump wire controller to communicate with the intelligent terminal (such as a smart phone, a tablet personal computer and the like) through the wireless network, provide remote monitoring and control functions for users, and enable the users to know the working state of the system at any time and any place and adjust the target temperature and other settings. The intelligent control method has the advantages that convenience and comfort of a user are remarkably improved through remote monitoring and control, the user can adjust temperature at home through a wire controller and can operate through intelligent equipment at any place, limitation of physical space is broken, the user can know the current environment state in real time through a remote access function, more control options are provided, user experience and satisfaction are improved, management becomes more efficient through the intelligent control mode, and the user can dynamically adjust according to actual requirements.
In summary, the present embodiment forms the control logic of the heat pump drive-by-wire controller together, so as to effectively realize the monitoring and adjustment of the room temperature. The real-time monitoring and feedback mechanism enables the system to respond to temperature change quickly, improves the accuracy of room temperature control, ensures that the heat pump operates in an optimal state through difference value calculation and corresponding operation frequency adjustment, avoids unnecessary energy consumption, expands the control capacity of users, enables the users to manage indoor environments more conveniently, and provides a higher-quality living environment for the users through the cooperation of the steps, the whole control system is improved comprehensively in the online control, high-efficiency and intelligent directions.
Embodiment 11 the process for monitoring the indoor temperature in real time provided by the embodiment of the invention on the basis of embodiment 10 comprises the following steps:
S101, dividing an indoor space into a plurality of areas, and setting different types of temperature sensors according to different functional areas of a living room, a bedroom, a kitchen and the like in the indoor space;
S102, collecting current temperature data of each temperature sensor at fixed time intervals, and smoothing the temperature data; after the smoothing treatment is finished, transmitting the temperature data to a control assembly in a wired or wireless mode;
And S103, based on the positions of the temperature sensors and environmental factors, carrying out weighting processing on the readings of each temperature sensor, setting a weight coefficient, and carrying out weighted average on the data of all the temperature sensors to obtain the final indoor real-time temperature.
The technical scheme has the working principle and beneficial effects that an indoor space is divided into a plurality of areas, different types of temperature sensors are arranged according to different functional areas such as a living room, a bedroom and a kitchen in the room, temperature differences of different height positions are captured in each area in a mode of horizontally installing the temperature sensors at different heights, current temperature data are collected at fixed time intervals by each temperature sensor, smoothing processing is carried out on the temperature data, the temperature data are transmitted to a control assembly in a wired or wireless mode after the smoothing processing is finished, finally, the reading of each temperature sensor is weighted based on the position of the temperature sensor and environmental factors, a weight coefficient is set, and the data of all the temperature sensors are weighted and averaged to obtain the final indoor real-time temperature. In the step S101 of the above scheme, the indoor space is partitioned and different types of temperature sensors are set, so that the types and the installation positions of the sensors are reasonably selected according to the specific functions (living room, bedroom, kitchen, etc.) of each area. This strategy allows the system to capture temperature variations at different heights and locations and by mounting the sensor at different height levels, temperature differences resulting from hot air flow in the space can be obtained. The intelligent indoor temperature control system has the advantages that the comprehensive and accurate room temperature monitoring is improved due to careful area division and sensor arrangement, the system can better adapt to different requirements of each functional area, more accurate temperature control is achieved, the heightened sensor can effectively capture temperature change caused by heat convection, the system can reflect the environment more truly, and therefore the diversified requirements of indoor functions can be met better. Step S102 is provided with a timed temperature data collection mechanism to ensure that the latest indoor temperature information is acquired regularly, the instability of temperature readings caused by instantaneous fluctuation (such as the entrance and exit of people, the running of equipment and the like) can be reduced through smoothing processing, such as a mobile average algorithm, and the processed temperature data is efficiently transmitted to a control component in a wired or wireless mode to ensure that data exchange is completed quickly and reliably. The method has the advantages that the reliability of the data is improved by periodically collecting and stabilizing the temperature data, so that the system can accurately judge the indoor temperature change, misoperation or erroneous judgment caused by short-term fluctuation is avoided, the high efficiency of real-time monitoring is ensured through an optimized data transmission process, high-quality man-machine interaction is established, and a solid data base is provided for subsequent control decisions. Step S103, the readings of each sensor are weighted, suitable weight coefficients are set for each sensor in consideration of the sensor positions, the regional characteristics and environmental factors (such as sunlight irradiation, door and window positions and the like), and finally, the temperature data of different sensors are weighted and averaged to obtain a more accurate real-time indoor temperature value. The method has the significance that the weighted average processing can overcome the deviation of a certain single sensor reading, provide comprehensive evaluation of the whole indoor environment, be beneficial to obtaining more real and reliable indoor temperature information, support more intelligent temperature control decision, enable the heat pump system to be more effectively suitable for the temperature requirements of different areas by reflecting the environment temperature in the real scene, and be beneficial to optimizing the system performance and the comfortable experience of users.
In summary, the embodiment provides a strict data acquisition, processing and analysis mechanism for the real-time monitoring system, ensures that the reliability and the accuracy of temperature data are remarkably improved through regional sensor layout, smooth data processing and weighted average, can provide flexible and accurate temperature feedback according to the requirements of different indoor environments, is convenient for the heat pump system to make quick response so as to meet the comfort requirements of users, and ensures the real-time regulation and control requirements through a regular collection and efficient data transmission mechanism, so that the room temperature regulation can be rapidly and effectively performed. The system is high-efficiency and accurate, and ensures that the heat pump drive-by-wire device can accurately understand the current indoor environment and make proper response so as to improve the comfort of users and the energy efficiency of the system.
Embodiment 12. Based on embodiment 10, the process for adjusting policy provided in the embodiment of the present invention includes the following steps:
s201, receiving real-time temperature and target room temperature, and calculating a difference value between the real-time room temperature and the target room temperature according to the real-time room temperature;
S202, setting an upper limit threshold and a lower limit threshold of an adjustment strategy, wherein the upper limit threshold is set to be when the real-time room temperature reaches or exceeds the target room temperature (+1 ℃), the heat pump unit stops working, and the lower limit threshold is set to be when the real-time room temperature is lower than the target room temperature (-1 ℃), and the heat pump unit is started and heated;
S203, judging the relation between the real-time room temperature and the target room temperature according to the difference value, if the real-time room temperature is more than or equal to the target room temperature, stopping the operation of the heat pump unit, and if the real-time room temperature is less than the target room temperature, adjusting the operation frequency of the heat pump unit by using the real-time water inlet temperature, the real-time water outlet temperature and the environmental temperature;
The target value calculation expression of the operating frequency is:
text Operating frequency (f)＝k1·text Difference value +k2 (real-time inlet temperature-real-time outlet temperature) +k 3 (ambient temperature-real-time outlet temperature);
Where k 1,k2 and k 3 represent empirical adjustment coefficients.
The working principle and the beneficial effects of the technical scheme are that the working principle and the beneficial effects are that the embodiment firstly receives real-time room temperature and target room temperature, calculates the difference value between the real-time room temperature and the target room temperature according to the real-time room temperature, secondly sets an upper limit threshold and a lower limit threshold of an adjustment strategy, wherein the upper limit threshold is set to be when the real-time room temperature reaches or exceeds the target room temperature (+1 ℃), the heat pump unit stops working, the lower limit threshold is set to be when the real-time room temperature is lower than the target room temperature (-1 ℃), the heat pump unit starts and heats, finally, the relation between the real-time room temperature and the target room temperature is judged according to the difference value, if the real-time room temperature is more than or equal to the target room temperature, the heat pump unit stops working, and if the real-time room temperature is lower than the target room temperature, the real-time water inlet temperature, the real-time water outlet temperature and the environmental temperature are applied, and the operating frequency of the heat pump unit is adjusted. Step S201 of the above scheme acquires the current temperature in the room (real-time room temperature) and the desired temperature set by the user (target room temperature) in real time, and calculates the difference therebetween by a simple arithmetic operation. The method has the advantages that by calculating the difference between the real-time room temperature and the target room temperature, the system can quickly judge whether the current environment reaches the expected comfort level of the user, automatic control and response of the system are facilitated, and important basis is provided for the running state adjustment of the heat pump unit by the difference, so that accurate control of the indoor temperature is ensured, and comfort feeling of the user is improved. Step S202 defines upper and lower limit thresholds of temperature according to a standard set by a user, wherein the upper limit threshold ensures that the heat pump stops working when reaching or exceeding a target temperature so as to prevent overheating, and the lower limit threshold ensures that the heat pump is started in time when the room temperature is lower than the target range so as to heat the indoor environment. The method has the advantages that the control flexibility and the self-adaptation capability are improved by setting the threshold value, so that the heat pump system can automatically adapt to different environment changes, the indoor temperature is maintained within an acceptable range, manual operation is reduced, convenience of users is improved, living experience of the users is improved by setting the upper and lower threshold values, energy waste can be effectively prevented, and the running efficiency and economy of the system are improved. Step S203 judges the current temperature state according to the real-time temperature difference value, and selects the corresponding operation strategy. If the real-time room temperature is greater than or equal to the target room temperature, the heat pump is stopped, and if the real-time room temperature is less than the target temperature, the system adjusts the operating frequency according to the actual inlet water temperature, outlet water temperature and ambient temperature. The control strategy based on real-time feedback improves the response speed and accuracy of the system, ensures that equipment accurately reflects the temperature control requirement of a user, rapidly stops heating when the comfortable room temperature is reached, avoids energy waste, and can further refine temperature control by accurately adjusting the operating frequency of the heat pump when needed, so that the stability and comfortableness of indoor temperature can be maintained even under the condition of changing external environment.
In summary, the embodiment converts real-time temperature data into corresponding system operation instructions, and achieves the purposes that the system can achieve high-degree automatic control, reduce user operation frequency and enhance intelligent level of the system through real-time monitoring and threshold setting, accurate regulation and control of indoor temperature are guaranteed through difference value calculation and corresponding operation strategies, comfortable experience of users is improved, setting of upper and lower threshold values and operation frequency adjustment according to environment data are achieved, efficient starting and stopping of a heat pump when necessary are guaranteed, energy utilization efficiency is improved to the greatest extent, and operation cost is reduced. The heat pump system is ensured to have good adaptability and efficiency, so that a user can enjoy an ideal living environment.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.
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