CN113419491B - Data acquisition method and system based on Internet of things - Google Patents
Data acquisition method and system based on Internet of things Download PDFInfo
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- CN113419491B CN113419491B CN202110600576.1A CN202110600576A CN113419491B CN 113419491 B CN113419491 B CN 113419491B CN 202110600576 A CN202110600576 A CN 202110600576A CN 113419491 B CN113419491 B CN 113419491B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention is suitable for the field of computers, and provides a data acquisition method based on the Internet of things. And judge the relation of position between trigger point and the trigger layer, namely be equivalent to judging the relation between environment parameter and the parameter of predetermineeing, when environment parameter is greater than or equal to the parameter of predetermineeing, transmit the trigger information to the execution equipment, form the execution equipment just can carry out cooling moisturizing operation such as similar watering under the circumstances that the environment needs, not only moisturizing to the plant, can also cool down the humidification to the environment around the plant, avoid appearing in improper moisturizing time point watering and cause the water waste, even the too much problem that causes the water overflow in pond of moisture.
Description
Technical Field
The invention belongs to the field of computers, and particularly relates to a data acquisition method and system based on the Internet of things.
Background
With the development of social life, for convenience of life or production of people, real-time monitoring of life or production environment is generally required, so as to provide early warning prompt effect for life of people living in the environment or provide guiding and adjusting effect for production. Where monitoring of the environment refers to the activity of an environmental monitoring agency to monitor and determine environmental quality conditions to determine environmental pollution conditions as well as environmental quality parameters. Besides being used for controlling environmental pollution conditions, the environmental quality parameters can also be used for controlling living environments by people through the Internet of things, and can be applied to greenhouse, park living environment improvement, urban activity square regulation and the like, and the content of environmental monitoring mainly comprises physical index monitoring, chemical index monitoring and ecological system monitoring. Wherein the physical index monitored is often used as a direct index to the dynamic change of the environment.
In the greenhouse or in the district or in the square, all have fountain or for the watering system of plant supplementary moisture, on the one hand can be for the plant supplementary moisture in this environment, on the other hand the evaporation of moisture can take away the temperature of surrounding environment for ambient temperature obtains the reduction to a certain extent.
However, these sprinkling systems are all composed of motors or control systems, and are continuously sprinkling or supplying water in a fixed time period, and these fixed time periods are not necessarily optimal water replenishing time points, and the water replenishing actions of the plants in the concentrated time periods can generate water resource waste caused by unsuitable water replenishing time points, and even water overflow problems of the water pool caused by excessive water.
Disclosure of Invention
The embodiment of the invention provides a data acquisition method and system based on the Internet of things, and aims to solve the problems that in a fixed time period, when water is continuously sprayed, the fixed time period is not necessarily the optimal water supplementing time point, water is supplemented to plants in a concentrated time period, water resource waste is caused due to unsuitable water supplementing time point, and even water overflow in a water tank is caused by excessive water.
The embodiment of the invention is realized in such a way that the data acquisition method based on the Internet of things comprises the following steps:
Setting initial position information of a trigger point;
acquiring trigger layer position information; the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer corresponds to the environmental parameters one by one;
converting the trigger layer position information into environment parameter information, and transmitting the environment parameter information to display equipment in real time;
judging whether the position of the trigger layer reaches the position of the trigger point or not according to the position information of the trigger layer and the initial position information of the trigger point;
When the position of the trigger layer exceeds the position of the trigger point, obtaining the distance between the trigger layer and the trigger point according to the position information of the trigger layer and the initial position information of the trigger point, and recording the distance as a deviation distance;
according to the size of the deviation distance, different trigger information is transmitted to the execution equipment; the execution device is used for improving environmental parameters;
And when the position of the trigger layer does not reach the position of the trigger point, sending a suspension signal to the execution device.
As a further improvement of the invention: after the triggering information is transferred to the execution device, the method further comprises:
acquiring the running time and the running state of the execution equipment;
When the running time and the running state of the execution equipment reach preset values, sending an abort signal to the execution equipment;
And obtaining the current environment parameter and the maximum environment parameter according to the current trigger layer position information and the maximum trigger layer position information obtained in the running process of the execution equipment, and further obtaining the environment parameter change value.
As another improvement of the invention: the method further comprises the steps of after obtaining the current environment parameter and the maximum environment parameter according to the current trigger layer position information and the maximum trigger layer position information obtained in the running process of the execution equipment, and further obtaining the environment parameter change value:
Obtaining the operation conversion rate of the execution equipment according to the environmental parameter change value;
judging whether the operation conversion rate of the execution equipment is smaller than a threshold value or not;
When the conversion rate of the execution device is smaller than a threshold value, sending a starting signal to the auxiliary device; the auxiliary device is used for assisting the execution device to improve the environment parameters.
As a further aspect of the invention: the method further comprises the steps of:
When the maximum environmental parameter value exceeds the high-temperature early warning value, a high-temperature early warning signal is sent to the monitoring end;
According to the difference between the maximum environmental parameter value and the high-temperature early warning value, driving information with different degrees is transmitted to the synergy equipment; when the synergistic equipment and the execution equipment are operated simultaneously, the synergistic equipment is used for doubly improving the speed of improving the environmental parameters.
As still further aspects of the invention: when the maximum environmental parameter value exceeds the high-temperature early-warning value, after sending the high-temperature early-warning signal to the monitoring end, the method further comprises the following steps:
receiving peak staggering operation time period information sent by a monitoring terminal;
according to the peak-staggering operation time period information, time information is acquired through the Internet of things, and time points are monitored;
Judging whether the time point is in the peak staggering operation time period information at the moment;
When the time point is in the peak-staggering operation time period information, an energizing signal is transmitted to a controller for controlling the execution equipment and the synergy equipment;
When the time point is not in the peak-shifting operation period information, a power-off signal is transmitted to a controller controlling the execution device and the synergy device.
As an optimization scheme of the invention: and uploading the running time and running state information of the execution equipment and the running time of the synergistic equipment to a data management center.
A data acquisition system based on the internet of things, the system comprising:
The trigger point setting module is used for setting initial position information of the trigger point;
The trigger layer monitoring module is used for acquiring the trigger layer position information; the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer corresponds to the environmental parameters one by one;
The circulation judging module is used for judging whether the position of the trigger layer reaches the position of the trigger point according to the position information of the trigger layer and the initial position information of the trigger point; when the position of the trigger layer exceeds the position of the trigger point, obtaining the distance between the trigger layer and the trigger point according to the position information of the trigger layer and the initial position information of the trigger point, and recording the distance as a deviation distance; and is used for transmitting different trigger information to the execution equipment according to the magnitude of the deviation distance; and is configured to send a suspension signal to the executing device when the position of the trigger layer falls back past the trigger point.
As yet another aspect of the present invention: the cycle judging module at least comprises:
the judging unit is used for judging whether the position of the trigger layer reaches the position of the trigger point according to the position information of the trigger layer and the initial position information of the trigger point;
the analysis unit is used for obtaining the distance between the trigger layer and the trigger point according to the trigger layer position information and the trigger point initial position information when the trigger layer is positioned beyond the position of the trigger point, and recording the distance as a deviation distance;
the trigger information generation unit is used for transmitting different trigger information to the execution equipment according to the magnitude of the deviation distance; and
The stopping unit is used for sending a stopping signal to the execution equipment when the position of the trigger layer falls back to pass the trigger point;
the execution device is used for improving the environment parameters according to the trigger information.
The invention has the beneficial effects that: by setting the trigger point and the trigger layer, the position of the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer is converted into the environmental parameter information, so that the purpose of collecting the real-time data of the environmental parameters can be realized. Judging the position relation between the trigger point and the trigger layer, and transmitting trigger information to the execution equipment when the position of the trigger layer reaches or exceeds the position of the trigger point; namely, the relation between the environment parameters and the preset parameters is equivalent to judging, when the environment parameters are larger than or equal to the preset parameters, trigger information is transmitted to the execution equipment, the execution equipment starts to execute a series of operations, such as sprinkling, and the environment parameters start to improve, so that the execution equipment can execute cooling and water supplementing operations like sprinkling and the like under the condition that the environment is required, water is supplemented to plants, the environment around the plants can be cooled and humidified, and the problems that water resources are wasted due to sprinkling at unsuitable water supplementing time points and water overflows in a pool due to excessive water are avoided.
Drawings
FIG. 1 is a schematic diagram of an operation environment of a data acquisition method based on the Internet of things;
FIG. 2 is a main flow chart of a data acquisition method based on the Internet of things;
FIG. 3 is a control flow chart of auxiliary equipment in a data acquisition method based on the Internet of things;
FIG. 4 is a control flow chart of synergy equipment in a data acquisition method based on the Internet of things;
fig. 5 is a schematic structural diagram of a data acquisition system based on the internet of things.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
According to the invention, the trigger point and the trigger layer are set, the position of the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer is converted into the environmental parameter information, so that the purpose of collecting the real-time data of the environmental parameters can be realized. Judging the position relation between the trigger point and the trigger layer, and transmitting trigger information to the execution equipment when the position of the trigger layer reaches or exceeds the position of the trigger point; namely, the relation between the environment parameters and the preset parameters is equivalent to judging, when the environment parameters are larger than or equal to the preset parameters, trigger information is transmitted to the execution equipment, the execution equipment starts to execute a series of operations such as sprinkling, watering, ventilation and the like, the environment parameters start to improve, the execution equipment can execute cooling and water supplementing operations like sprinkling and the like under the condition that the environment is needed, the plant is supplemented, the environment around the plant can be cooled and humidified, and the like, and the environment-friendly water-saving device has good cooling and humidifying effects on the occasions such as a community, a greenhouse, a square and the like, and avoids the problems that water resources are wasted due to sprinkling at unsuitable water supplementing time points and even water overflows in a water tank due to excessive water.
Fig. 1 shows a schematic diagram of an operation environment of a data collection method based on the internet of things, where a data collection system based on the internet of things and a trigger layer perform information interaction on the internet of things level, and further perform information interaction with an execution device, a synergy device and an auxiliary device, and the information interaction way may adopt an internet of things data transmission card of a network operator such as wireless network communication under the internet of things or china communication, where the data collection system receives information from the trigger layer, distributes processed information to the execution device, the synergy device and the auxiliary device, and receives information fed back from the execution device. It should be noted that the trigger layer is formed by some physical structures, and may include a position sensor, a temperature sensor, a humidity sensor, and the like, and a pushing structure for pushing the sliding rod in the position sensor to move, where the pushing structure can sense a change of an environmental parameter, for example, a pushing mechanism using thermal expansion and contraction physical properties of liquid or gas, or a pushing mechanism with a temperature sensor or a humidity sensor, and the like.
The internet of things (Internet of Things, referred to as IOT for short) refers to collecting any object or process needing to be monitored, connected and interacted in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, collecting various needed information such as sound, light, heat, electricity, mechanics, chemistry, biology and positions of the object or process, and realizing ubiquitous connection of the object and people through various possible network access, thereby realizing intelligent sensing, identification and management of the object and the process. The internet of things is an information carrier based on the internet, a traditional telecommunication network and the like, and enables all common physical objects which can be independently addressed to form an interconnection network. The Internet of things is the Internet with everything connected, is an extended and expanded network based on the Internet, and is a huge network formed by combining various information sensing devices with the network, so that the interconnection and intercommunication of people, machines and things at any time and any place are realized.
Fig. 2 shows a main flowchart of a data acquisition method based on the internet of things, which specifically includes:
Step S10: setting initial position information of a trigger point. The position of the trigger point can be driven by an active physical structure to be positioned, and different trigger point positions are required to be set because the required trigger parameters are different in different seasons or different use environments. The triggering parameter may be a triggering temperature parameter, a triggering humidity parameter, a triggering air quality parameter, etc.
Step S11: acquiring trigger layer position information; the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer corresponds to the environmental parameters one by one. The environmental parameter may be an environmental temperature parameter, an environmental humidity parameter, an air quality parameter, etc., or a combination information parameter of a plurality of parameters. For example, if the position of the trigger point is set at 39 ℃, the liquid level will not reach 39 ℃ under normal temperature, and when the ambient temperature is too high, the mercury liquid level corresponding to the trigger layer will rise along with the rise of temperature, and in this process, the position information of the mercury liquid levels is obtained in real time, and each mercury liquid level corresponds to an ambient temperature.
Step S12: and converting the trigger layer position information into environment parameter information, and transmitting the environment parameter information to the display equipment in real time. Real-time data of environmental parameters can be acquired, and can be stored or further analyzed to guide production or living activities.
Step S13: and judging whether the position of the trigger layer reaches the position of the trigger point or not according to the position information of the trigger layer and the initial position information of the trigger point. The position relation between the two is judged directly, and the relation between the preset environment parameter value represented by the initial position information of the trigger point and the current environment parameter value can be judged directly because the positions of the two correspond to the environment parameter value.
Step S14: when the position of the trigger layer exceeds the position of the trigger point, the distance between the trigger layer and the trigger point is obtained according to the position information of the trigger layer and the initial position information of the trigger point, and the distance is recorded as the deviation distance. At this time, the environmental parameters are too high, and a series of cooling, humidifying or dedusting operations are required to be performed by the execution equipment, wherein the execution equipment is used for improving the environmental parameters, for example, the execution equipment is a sprinkler equipment or a fountain equipment, and the surrounding environment is cooled by sprinkling water, so that a large amount of heat is taken away by evaporation of water, and the surrounding environment becomes cool; or the environment is relatively heavy in moisture, the execution device can be a dryer or a heater, and the environment is heated and dehumidified; if more dust exists in the environment, the execution equipment can be dust collection equipment, dust removal equipment or filtering equipment and the like, and air is purified. The deviation distance obtained here represents in practice the difference between the current environmental parameter and the preset environmental parameter value, which is obtained for a more precise control of the execution device. For example, the preset environmental temperature value is 25 ℃, when the current environmental temperature is 28 ℃ and the current environmental temperature is 35 ℃, the working strength of the required execution equipment is definitely different, and when the current environmental temperature is 28 ℃, water spraying is only needed for 1 hour, the water outlet speed is slower, the spraying area is smaller, so that the environmental temperature can be reduced to 25 ℃; however, when the temperature is 30 ℃,2 hours of sprinkling can be needed, and the sprinkling speed is high when sprinkling, and the sprinkling area is large, so that the ambient temperature can be reduced to 25 ℃. Therefore, the operating parameters of the corresponding execution devices are different from each other due to different temperature differences, i.e. different deviation distances.
Step S15: different trigger information is transmitted to the execution device according to the magnitude of the deviation distance. The trigger information comprises working parameters for controlling the operation of the execution equipment.
Step S16: when the position of the trigger layer falls back past the trigger point, an abort signal is sent to the executing device. At this time, the environmental parameters are not high, and the surrounding environment is not required to be cooled, humidified or dedusted, but if the system is applied to a greenhouse or a community, even if the environmental parameters are not high, the water is required to be supplemented to plants so as to meet the water necessary for the growth and life of the plants, and the water can be manually operated.
For example, the system can mainly prevent that the evaporation of water in plants and the soil around the plants is accelerated in summer when the parameters are increased, the water locking capacity is reduced, the number of times of sprinkling is required to be increased, and the supply and demand matching can be better realized according to the environmental parameters.
Fig. 3 shows a control flow chart of an auxiliary device in a data acquisition method based on internet of things in an embodiment of the present invention, where after the trigger information is transferred to an execution device, the method further includes:
Step S20: the running time and the running state of the execution device are obtained. The operation of the execution device can be better monitored, and whether the execution device is well operated can also be monitored.
Step S21: and when the running time and the running state of the execution device reach preset values, sending an abort signal to the execution device. Because the environment parameter cannot be well reduced even if the execution device is always executed when the environment parameter is higher, the execution device cannot be always operated at the moment, so that the operation time of the execution device is limited or the operation state of the execution device is set to a preset value, for example, the sprinkling device stops sprinkling when sprinkling is performed for one hour or the sprinkling amount reaches 50L, and the situation that the execution device is always operated when sprinkling cannot reduce the environment parameter to the preset environment parameter value, so that water resource waste is caused or plants are submerged is avoided.
Step S22: and obtaining the current environment parameter and the maximum environment parameter according to the current trigger layer position information and the maximum trigger layer position information obtained in the running process of the execution equipment, and further obtaining the environment parameter change value. The environment parameter change value is to know what the change of the environment parameter changes after the execution device operates for a certain time, and what degree of effect is achieved.
Step S23: and obtaining the running conversion rate of the execution equipment according to the environmental parameter change value. The execution device operation conversion rate is a quantitative value for measuring the function of the execution device after operation. The conversion rate of the execution device is the magnitude of the environmental parameter change value in unit time or unit measurement unit.
Step S24: and judging whether the operation conversion rate of the execution device is smaller than a threshold value. The measurement threshold is set for the operation conversion rate to judge whether the current execution device operates within an acceptable range, for example, the preset environmental temperature value is 25 ℃, the current environmental temperature is 35 ℃, the environmental temperature is reduced to 30 ℃ after the execution device operates, but the minimum acceptable temperature is 28 ℃, which means that the execution device does not reduce the temperature below the expected value after executing, at this time, the execution device is continuously started, the change of the environmental temperature is limited, and the environmental temperature cannot be reduced quickly.
Step S25: when the conversion rate of the execution device is smaller than a threshold value, sending a starting signal to the auxiliary device; the auxiliary device is used for assisting the execution device to improve the environment parameters. For example, when the execution device cannot meet the cooling requirement, the auxiliary device is required to further assist the execution device in cooling so that the execution device achieves a desired effect within a specified time, and the auxiliary device can be a sunshade, a blower and the like; or when dust in the air increases, the dust removing effect of the execution equipment cannot meet the requirement, auxiliary equipment is started to carry out auxiliary dust removing, and the auxiliary equipment can be a fan for accelerating air flow or a sprinkling dust removing device and the like.
Step S26: when the conversion rate of the execution device is not smaller than the threshold value, a starting signal is not sent to the auxiliary device, and the independent operation state of the execution device is maintained. Indicating that the operation of the execution device at this time can meet the demand.
Fig. 4 shows a control flow chart of synergistic equipment in a data acquisition method based on internet of things in an embodiment of the invention, which specifically includes the steps of:
Step S30: and when the maximum environmental parameter value exceeds the high-temperature early-warning value, sending a high-temperature early-warning signal to the monitoring end. The monitoring end is reminded to timely cope with high temperature, and larger loss caused by untimely coping with high temperature is avoided. The high temperature early warning value may include a temperature parameter value, a humidity parameter value, and the like, which can be used for measuring a high temperature environment.
Step S31: and receiving peak staggering operation time period information sent by the monitoring terminal. When high temperature occurs, the execution device may be arranged to operate, other devices also need to operate, when a plurality of devices with higher power operate simultaneously, the situation of insufficient power supply or unstable voltage may occur, and in order to avoid the situation, different devices need to operate in a peak-shifting mode.
Step S32: and according to the peak-staggering operation time period information, time information is acquired through the Internet of things, and the time point is monitored. The point in time is monitored in order to even turn on the master switch of the execution device.
Step S33: judging whether the time point is in the peak staggering operation time period information at the moment;
Step S34: when the time point is in the peak-staggering operation period information, a power-on signal is transmitted to a controller controlling the execution device and the synergy device. When the high temperature occurs, not only the execution equipment and the auxiliary equipment are required to operate, but also the synergistic equipment is required to operate, and the synergistic equipment can be understood to be the same or different treatment means with the execution equipment, for example, for cooling, the synergistic equipment can be the same watering equipment and fountain equipment as the execution equipment, and can also be cooling circulation equipment and the like; for dehumidification, the synergistic equipment can also be a dryer or a heater, a water absorption equipment and the like; for dust removal, the synergistic device can also be dust collection equipment, dust removal equipment or filtering equipment, air circulation equipment and the like. When the synergy equipment is the same as the execution equipment, the synergy equipment and the execution equipment work together, and the efficiency is doubled; when the effective equipment is different from the execution equipment, the effective equipment and the execution equipment work cooperatively, influence each other positively and the effect is superposed.
The execution equipment is water spraying equipment or fountain equipment and the like, the surrounding environment is cooled through water spraying, and a large amount of heat is taken away through water evaporation, so that the surrounding environment is cooled; or the environment is relatively heavy in moisture, the execution device can be a dryer or a heater, and the environment is heated and dehumidified; if the environment has more dust, the execution equipment can be dust collection equipment, dust removal equipment or filtering equipment, and the like, and the air is purified
Step S36: according to the difference between the maximum environmental parameter value and the high-temperature early warning value, driving information with different degrees is transmitted to the synergy equipment; when the synergistic equipment and the execution equipment are operated simultaneously, the synergistic equipment is used for doubly improving the speed of improving the environmental parameters. The degree that the maximum environmental parameter is higher than the high-temperature early warning value is different, the working efficiency of the synergy equipment is also different, the played effect is also different, and the system is also a supply-on-demand condition to a certain extent.
Step S35: when the time point is not in the peak-shifting operation period information, a power-off signal is transmitted to a controller controlling the execution device and the synergy device.
As a further embodiment of the invention, the running time and running state information of the execution device and the running time of the synergy device are all uploaded to the data management center. The data management center can receive the data uploaded by different execution devices, so that the data management center can monitor and manage the execution devices at different positions. For example, municipal data management centers manage and control fountain on different squares.
Fig. 5 shows a schematic structural diagram of a data acquisition system based on the internet of things, in an embodiment of the present invention, where the system includes:
The trigger point setting module 100 is configured to set trigger point initial position information.
The trigger layer monitoring module 200 is configured to obtain trigger layer position information; the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer corresponds to the environmental parameters one by one.
The loop judgment module 300: the method comprises the steps of judging whether the position of a trigger layer reaches the position of a trigger point or not according to the position information of the trigger layer and the initial position information of the trigger point; when the position of the trigger layer exceeds the position of the trigger point, obtaining the distance between the trigger layer and the trigger point according to the position information of the trigger layer and the initial position information of the trigger point, and recording the distance as a deviation distance; and is used for transmitting different trigger information to the execution equipment according to the magnitude of the deviation distance; and is configured to send a suspension signal to the executing device when the position of the trigger layer falls back past the trigger point. The execution device is used for improving the environment parameters according to the trigger information.
Wherein, the cycle determining module 300 at least includes:
A judging unit 310, configured to judge whether the position of the trigger layer reaches the position of the trigger point according to the trigger layer position information and the trigger point initial position information;
An analysis unit 320, configured to obtain a distance between the trigger layer and the trigger point according to the trigger layer position information and the trigger point initial position information when the trigger layer is located beyond the trigger point, and record the distance as a deviation distance;
A trigger information generating unit 330 for transmitting different trigger information to the execution device according to the magnitude of the offset distance; and
And the suspension unit 340 is configured to send a suspension signal to the execution device when the position of the trigger layer falls back past the trigger point.
In order to be able to load the method and system described above to function properly, the system may include more or less components than those described above, or may combine some components, or different components, in addition to the various modules described above, for example, may include input and output devices, network access devices, buses, processors, memories, and the like. The memory is different from the above-mentioned memory module in that the memory module belongs to a functional module in the system, and the memory is a use of existing hardware.
The Processor may be a central processing unit (Central Processing Unit, CPU), other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The general purpose processor may be a microprocessor or any conventional processor or the like that is the control center of the client or social system described above, with various interfaces and lines connecting the various parts of the overall user terminal.
The memory may be used to store a computer and a system program and/or module, and the processor may perform the various functions described above by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the berth status display system, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. The data acquisition method based on the Internet of things is characterized by comprising the following steps of:
Setting initial position information of a trigger point;
acquiring trigger layer position information; the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer corresponds to the environmental parameters one by one;
judging whether the position of the trigger layer reaches the position of the trigger point or not according to the position information of the trigger layer and the initial position information of the trigger point;
When the position of the trigger layer exceeds the position of the trigger point, obtaining the distance between the trigger layer and the trigger point according to the position information of the trigger layer and the initial position information of the trigger point, and recording the distance as a deviation distance;
According to the size of the deviation distance, different trigger information is transmitted to the execution equipment; the execution equipment is used for improving environmental parameters according to the trigger information;
when the position of the trigger layer falls back to pass the trigger point, sending a suspension signal to the execution equipment;
the position of the trigger point is driven to be positioned by the movable physical structure, and different trigger point positions are required to be set due to different seasons or different use environments and different required trigger parameters;
After the triggering information is transferred to the execution device, the method further comprises:
acquiring the running time and the running state of the execution equipment;
When the running time and the running state of the execution equipment reach preset values, sending an abort signal to the execution equipment;
Obtaining a current environment parameter and a maximum environment parameter according to the current trigger layer position information and the maximum trigger layer position information obtained in the running process of the execution equipment, and further obtaining an environment parameter change value;
The method further comprises the steps of:
When the maximum environmental parameter value exceeds the high-temperature early warning value, a high-temperature early warning signal is sent to the monitoring end;
According to the difference between the maximum environmental parameter value and the high-temperature early warning value, driving information with different degrees is transmitted to the synergy equipment; when the synergistic equipment and the execution equipment run simultaneously, the synergistic equipment is used for doubly improving the speed of improving the environmental parameters;
When the maximum environmental parameter value exceeds the high-temperature early-warning value, after sending the high-temperature early-warning signal to the monitoring end, the method further comprises the following steps:
receiving peak staggering operation time period information sent by a monitoring terminal;
according to the peak-staggering operation time period information, time information is acquired through the Internet of things, and time points are monitored;
Judging whether the time point is in the peak staggering operation time period information at the moment;
When the time point is in the peak-staggering operation time period information, transmitting signals for controlling the power-on of the execution equipment and the synergy equipment to the controllers for controlling the execution equipment and the synergy equipment;
when the time point is not in the peak-shifting operation period information, a signal for controlling the power-off of the execution device and the synergy device is transmitted to a controller for controlling the execution device and the synergy device.
2. The data acquisition method based on the internet of things according to claim 1, wherein the trigger layer position information is converted into environment parameter information, and the environment parameter information is transmitted to the display device in real time.
3. The method for acquiring data based on the internet of things according to claim 1, wherein the method further comprises, after obtaining the current environmental parameter and the maximum environmental parameter according to the current trigger layer position information and the maximum trigger layer position information obtained during the running process of the execution device, and further obtaining the environmental parameter change value:
Obtaining the operation conversion rate of the execution equipment according to the environmental parameter change value;
judging whether the operation conversion rate of the execution equipment is smaller than a threshold value or not;
When the conversion rate of the execution device is smaller than a threshold value, sending a starting signal to the auxiliary device; the auxiliary device is used for assisting the execution device to improve the environment parameters.
4. The data collection method based on the internet of things according to claim 1, wherein the running time and running state information of the execution device and the running time of the synergy device are uploaded to the data management center.
5. A data acquisition system based on the internet of things, the system comprising:
The trigger point setting module is used for setting initial position information of the trigger point;
The trigger layer monitoring module is used for acquiring the trigger layer position information; the trigger layer moves along with the change of the environmental parameters, and the position information of the trigger layer corresponds to the environmental parameters one by one;
The circulation judging module is used for judging whether the position of the trigger layer reaches the position of the trigger point according to the position information of the trigger layer and the initial position information of the trigger point; when the position of the trigger layer exceeds the position of the trigger point, obtaining the distance between the trigger layer and the trigger point according to the position information of the trigger layer and the initial position information of the trigger point, and recording the distance as a deviation distance; and is used for transmitting different trigger information to the execution equipment according to the magnitude of the deviation distance; and is used for sending an abort signal to the execution device when the position of the trigger layer falls back past the trigger point; the execution equipment is used for improving environmental parameters according to the trigger information;
the position of the trigger point is driven to be positioned by the movable physical structure, and different trigger point positions are required to be set due to different seasons or different use environments and different required trigger parameters;
After the trigger information is transferred to the execution device, the method further comprises the following steps:
acquiring the running time and the running state of the execution equipment;
When the running time and the running state of the execution equipment reach preset values, sending an abort signal to the execution equipment;
Obtaining a current environment parameter and a maximum environment parameter according to the current trigger layer position information and the maximum trigger layer position information obtained in the running process of the execution equipment, and further obtaining an environment parameter change value;
Further comprises:
When the maximum environmental parameter value exceeds the high-temperature early warning value, a high-temperature early warning signal is sent to the monitoring end;
According to the difference between the maximum environmental parameter value and the high-temperature early warning value, driving information with different degrees is transmitted to the synergy equipment; when the synergistic equipment and the execution equipment run simultaneously, the synergistic equipment is used for doubly improving the speed of improving the environmental parameters;
When the maximum environmental parameter value exceeds the high-temperature early-warning value, the method further comprises the following steps of:
receiving peak staggering operation time period information sent by a monitoring terminal;
according to the peak-staggering operation time period information, time information is acquired through the Internet of things, and time points are monitored;
Judging whether the time point is in the peak staggering operation time period information at the moment;
When the time point is in the peak-staggering operation time period information, transmitting signals for controlling the power-on of the execution equipment and the synergy equipment to the controllers for controlling the execution equipment and the synergy equipment;
when the time point is not in the peak-shifting operation period information, a signal for controlling the power-off of the execution device and the synergy device is transmitted to a controller for controlling the execution device and the synergy device.
6. The data acquisition system based on the internet of things of claim 5, wherein the cycle determining module at least comprises:
the judging unit is used for judging whether the position of the trigger layer reaches the position of the trigger point according to the position information of the trigger layer and the initial position information of the trigger point;
the analysis unit is used for obtaining the distance between the trigger layer and the trigger point according to the trigger layer position information and the trigger point initial position information when the trigger layer is positioned beyond the position of the trigger point, and recording the distance as a deviation distance;
the trigger information generation unit is used for transmitting different trigger information to the execution equipment according to the magnitude of the deviation distance; and
And the suspension unit is used for sending a suspension signal to the execution equipment when the position of the trigger layer falls back past the trigger point.
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