CN113419491A - Data acquisition method and system based on Internet of things - Google Patents
Data acquisition method and system based on Internet of things Download PDFInfo
- Publication number
- CN113419491A CN113419491A CN202110600576.1A CN202110600576A CN113419491A CN 113419491 A CN113419491 A CN 113419491A CN 202110600576 A CN202110600576 A CN 202110600576A CN 113419491 A CN113419491 A CN 113419491A
- Authority
- CN
- China
- Prior art keywords
- trigger
- information
- equipment
- position information
- execution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000007613 environmental effect Effects 0.000 claims abstract description 87
- 238000012544 monitoring process Methods 0.000 claims description 20
- 230000008859 change Effects 0.000 claims description 17
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 8
- 239000000725 suspension Substances 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000002195 synergetic effect Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract description 49
- 238000001816 cooling Methods 0.000 abstract description 9
- 239000002699 waste material Substances 0.000 abstract description 3
- 230000003020 moisturizing effect Effects 0.000 abstract 3
- 239000000428 dust Substances 0.000 description 11
- 230000015654 memory Effects 0.000 description 11
- 230000000694 effects Effects 0.000 description 10
- 230000001276 controlling effect Effects 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 239000007788 liquid Substances 0.000 description 6
- 230000006872 improvement Effects 0.000 description 5
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 5
- 229910052753 mercury Inorganic materials 0.000 description 5
- 238000001704 evaporation Methods 0.000 description 4
- 230000008020 evaporation Effects 0.000 description 4
- 230000003993 interaction Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000005507 spraying Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000003912 environmental pollution Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000007791 dehumidification Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000003973 irrigation Methods 0.000 description 1
- 230000002262 irrigation Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000008400 supply water Substances 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Selective Calling Equipment (AREA)
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 position relation between trigger point and the trigger layer between the two, judge the relation between environmental parameter and the preset parameter promptly in other words, when environmental parameter more than or equal to preset parameter, transmit trigger information to the actuating equipment, form that the actuating equipment just can carry out cooling moisturizing operations such as similar watering under the circumstances that the environment needs, not only carry out the moisturizing to the plant, can also cool down the humidification to the environment around the plant, avoid appearing causing the water waste at improper moisturizing time point watering, even moisture excessively causes the problem of moisture overflow in the pond.
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, in order to facilitate the life or production of people, the life or production environment generally needs to be monitored in real time, so as to provide an early warning and prompting function for the life of people living in the environment or provide a guiding and adjusting function for production. Wherein the monitoring of the environment refers to the activities of the environment monitoring mechanism to monitor and measure the environmental quality condition so as to determine the environmental pollution condition and the environmental quality parameter. The environmental quality parameters can be used for controlling the environmental pollution condition, and can also be used for regulating and controlling the living environment of people by using the collected environmental data through the Internet of things, and can be used for improving the living environment of a greenhouse and a garden, regulating and controlling an urban activity square and the like, and the content of environmental monitoring mainly comprises monitoring of physical indexes, monitoring of chemical indexes and monitoring of an ecosystem. Where the monitored physical indicator is often used as a direct indicator of the dynamic changes of the environment.
In the greenhouse or in the district or in the wide field, all have the fountain or for the watering system of plant additional water content, can be for the plant additional water content in this environment on the one hand, the temperature of surrounding environment can be taken away in the evaporation of on the other hand moisture for ambient temperature obtains reducing to a certain extent.
However, these watering systems are all operated by a motor or a control system to continuously water or supply water in fixed time periods, which are not necessarily the optimal water replenishing time points, and the action of replenishing water to plants in a centralized time period may cause the water replenishing time points to be inappropriate, which leads to water resource waste, even water overflow in the water tank due to 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 replenishing time point, water is replenished to plants in a centralized time period, the water replenishing time point is not appropriate, water resources are wasted, and even water in a water tank overflows due to excessive water.
The embodiment of the invention is realized in such a way that a data acquisition method based on the Internet of things comprises the following steps:
setting initial position information of a trigger point;
acquiring position information of a trigger layer; 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 position information of the trigger layer 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;
transmitting different trigger information to the execution equipment according to the deviation distance; the execution device is used for improving the environmental parameters;
when the position of the trigger layer does not reach the position of the trigger point, an abort signal is sent to the execution device.
As a further improvement of the invention: after the delivering the trigger information to the executing device, the method further includes:
acquiring the running time and running state of the execution equipment;
when the running time and the running state of the execution equipment reach preset values, sending a suspension signal to the execution equipment;
and 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 in the running process of the execution equipment, and further obtaining the environmental parameter change value.
As another improvement of the invention: 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 in the operation process of the execution device, and further obtaining the environmental parameter variation value, the method further comprises:
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 less than a threshold value;
when the execution equipment conversion rate is smaller than a threshold value, sending a starting signal to auxiliary equipment; the auxiliary device is used for assisting the execution device to improve the environmental parameters.
As a further scheme of the invention: the method further comprises the following steps:
when the maximum environmental parameter value exceeds the high-temperature early warning value, sending a high-temperature early warning signal to a monitoring end;
transmitting driving information of different degrees to the synergy equipment according to different difference values between the maximum environment parameter value and the high-temperature early warning value; when the efficiency-improving equipment and the executing equipment run simultaneously, the efficiency-improving equipment is used for improving the speed of the environmental parameters in multiples.
As a further scheme of the invention: when the maximum environmental parameter value exceeds the high-temperature early warning value, after a high-temperature early warning signal is sent to the monitoring end, the method further comprises the following steps:
receiving peak-shifting operation time period information sent by a monitoring end;
according to the peak-shifting operation time period information, time information is called through the Internet of things, and time points are monitored;
judging whether the time point is in the peak shifting operation time period information or not;
when the time point is in the peak-shifting operation period information, transmitting a power-on signal to a controller for controlling the execution equipment and the synergy equipment;
and when the time point is not in the peak-shifting operation period information at the moment, transmitting a power-off signal to a controller for controlling the execution equipment and the synergy equipment.
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 synergy equipment to a data management center.
An internet of things based data acquisition system, 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 position information of the trigger layer; 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 circulating judgment module is used for 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; and 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 size of the deviation distance; and for sending a suspension signal to the enforcement device when the position of the trigger layer falls back past the trigger point.
As another scheme of the invention: the circulation 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 or not 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 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, and recording the distance as a deviation distance;
the trigger information generating unit is used for transmitting different trigger information to the execution equipment according to 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 environmental parameters according to the trigger information.
The invention has the beneficial effects that: through setting up trigger point and trigger layer, the position on trigger layer moves along with environmental parameter changes, converts the positional information on trigger layer into environmental parameter information and can realize gathering the purpose of environmental parameter real-time data. 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; the relation between the environmental parameter and the preset parameter is judged equivalently, when the environmental parameter is more than or equal to the preset parameter, trigger information is transmitted to the execution equipment, the execution equipment starts to execute a series of operations, such as watering and the like, the environmental parameter starts to be improved, the execution equipment is formed to execute cooling and water replenishing operations like watering and the like under the condition of environmental requirement, water is replenished to plants, the environment around the plants can be cooled and humidified, the problem that water resource waste is caused by watering at an improper water replenishing time point, and even water overflow in a water pool is caused by excessive water is avoided.
Drawings
FIG. 1 is a schematic diagram of an operational 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 flow chart of auxiliary device control in a data acquisition method based on the Internet of things;
FIG. 4 is a control flow chart of the efficiency-enhancing equipment in the 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
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
According to the invention, 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 purpose of acquiring the real-time data of the environmental parameters can be realized by converting the position information of the trigger layer into the environmental parameter information. 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; the method is equivalent to judging the relation between the environmental parameters and the preset parameters, when the environmental parameters are more than or equal to the preset parameters, the triggering information is transmitted to the execution equipment, the execution equipment starts to execute a series of operations, such as watering, irrigation, ventilation and the like, the environmental parameters begin to be improved, the execution equipment is formed to execute cooling and water replenishing operations like watering and the like under the condition of environmental needs, not only is water replenished to plants, but also the environment around the plants can be cooled and humidified and the like, the method has good cooling and humidifying functions and the like for occasions such as communities, greenhouses or squares and the like, and the problem that water resources are wasted due to the fact that water is sprinkled at improper water replenishing time points and even water overflows in a water tank due to excessive water is avoided.
Fig. 1 is a schematic view showing an operating environment structure of a data acquisition method based on the internet of things according to an embodiment of the present invention, in which a data acquisition system based on the internet of things performs information interaction with a trigger layer on the internet of things layer, and also performs information interaction with an execution device, a synergy device, and an auxiliary device, and the information interaction may be performed by using an internet of things data transmission card of a network operator such as wireless network communication under the internet of things or china unicom, where the data acquisition system receives information from the trigger layer, distributes the 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 triggering layer is made of some physical structures, and may include a position sensor, a temperature sensor, a humidity sensor, etc., and a pushing structure for pushing a sliding rod in the position sensor to move, where the pushing structure is capable of sensing a change of an environmental parameter, such as a pushing mechanism using physical properties of expansion with heat and contraction with cold of a liquid or a gas, or a pushing mechanism with a temperature sensor or a humidity sensor, etc.
The Internet of Things (Internet of Things, IOT for short) is used for collecting any object or process needing monitoring, connection and interaction in real time and collecting various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and position through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and realizing the ubiquitous connection of objects, objects and people through various possible network accesses, and realizing the intelligent sensing, identification and management of the objects and the processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network. The internet of things, namely the internet connected with everything, is an extended and expanded network on the basis of the internet, various information sensing devices are combined with the network to form a huge network, and the interconnection and the intercommunication of people, machines and things at any time and any place are realized.
Fig. 2 shows a main flow chart of a data acquisition method based on the internet of things in the embodiment of the present invention, where the method specifically includes:
step S10: and setting initial position information of the trigger point. The position of the trigger point can be driven by a movable physical structure to be positioned, and different trigger points are needed to be set due to different triggering parameters 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, or the like.
Step S11: acquiring position information of a trigger layer; 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, or the like, or a combined information parameter of a plurality of parameters. For example, the trigger layer corresponds to a mercury liquid level moving up and down along with temperature changes in a mercury thermometer, if the position of a trigger point is set at 39 ℃, the liquid level does not reach 39 ℃ under normal temperature, when the ambient temperature is too high, the mercury liquid level corresponding to the trigger layer rises along with temperature rise, in the process, the position information of the mercury liquid level is obtained in real time, and each mercury liquid level corresponds to one ambient temperature.
Step S12: and converting the position information of the trigger layer 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 obtained and stored or further analyzed to guide production or life 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 judgment of the position relation between the two is relatively direct, and because the positions of the two correspond to the environmental parameter values, the relation between the preset environmental parameter value represented by the initial position information of the trigger point and the current environmental parameter value can also be directly judged.
Step S14: and 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. At this time, it is indicated that the environmental parameters are too high, and an execution device is required to perform a series of cooling, humidifying or dedusting operations, wherein the execution device is used for improving the environmental parameters, for example, the execution device is a sprinkling device or a fountain device, and the surrounding environment is cooled by sprinkling water, and a large amount of heat is taken away by water evaporation, so that the surrounding environment becomes cool; or the moisture in the environment is heavy, the execution equipment can be a dryer or a heater, and the ambient 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 air is purified. The deviation distance obtained here is actually representative of the difference between the current environmental parameter and the preset environmental parameter value, and is obtained for more precise control of the actuator. For example, when the preset environment temperature value is 25 ℃, the current environment temperature is 28 ℃ and the current environment temperature is 35 ℃, the intensity of the equipment to be executed to work is different, and at 28 ℃, only 1 hour of water spraying is needed, the water outlet speed is low, the spraying area is small, and the environment temperature can be reduced to 25 ℃; however, when the temperature is 30 ℃, the sprinkling time can be 2 hours, and the water outlet speed is high, the sprinkling area is large, so that the ambient temperature can be reduced to 25 ℃. Different temperature differences, i.e. different deviation distances, therefore correspond to different operating parameters of the actuator.
Step S15: and transmitting different trigger information to the execution equipment according to the size 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, a suspend signal is sent to the enforcement device. At this moment, the environmental parameters are not high, and the ambient environment is not required to be cooled, humidified or dedusted, but if the system is applied to a greenhouse or a cell, the plants still need to be supplemented with water even if the environmental parameters are not high, so as to meet the water required by the growth and life of the plants, and the water can be manually operated.
For example, the system can mainly prevent the water evaporation in the plants and the surrounding soil from being accelerated, the water locking capacity is reduced, the watering frequency needs to be increased when the parameters are increased in summer, and the supply and demand matching can be better realized according to the environment parameters.
Fig. 3 is a flowchart illustrating a control flow of an auxiliary device in a data acquisition method based on the internet of things according to an embodiment of the present invention, where after the trigger information is transmitted to an execution device, the method further includes:
step S20: the running time and running state of the execution equipment are obtained. The operation of the execution equipment can be better monitored, and whether the operation of the execution equipment is good or not can also be monitored.
Step S21: and when the running time and the running state of the execution equipment reach preset values, sending a suspension signal to the execution equipment. When the environmental parameters are high, the environmental parameters cannot be well reduced even if the execution equipment is executed all the time, and at the moment, the execution equipment cannot be operated all the time, so that the operation time of the execution equipment is limited or a preset value is set for the operation state of the execution equipment, for example, when the sprinkling equipment sprinkles for one hour or the sprinkling quantity reaches 50L, the sprinkling is stopped, and the situation that the execution equipment is operated all the time and water resources are wasted or plants are submerged is avoided.
Step S22: and 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 in the running process of the execution equipment, and further obtaining the environmental parameter change value. The reason for knowing the environmental parameter variation value is to know how much the execution device changes the environmental parameter after running for a certain time, and to what extent.
Step S23: and obtaining the operation conversion rate of the execution equipment according to the environmental parameter change value. The operation conversion rate of the execution equipment is a quantitative value which is used for measuring the effect of the execution equipment after operation. The conversion rate of the execution equipment is the change value of the environmental parameter in unit time or unit metering unit.
Step S24: and judging whether the operation conversion rate of the execution equipment is less than a threshold value. The reason for setting a measurement threshold value for the operation conversion rate is to judge whether the environment is in an acceptable range after the current execution device operates, for example, the preset environment temperature value is 25 ℃, the current environment temperature is 35 ℃, the environment temperature is reduced to 30 ℃ after the execution device operates, but the ideal acceptable minimum temperature is 28 ℃, which indicates that the temperature is not reduced to the expected value after the execution device operates, at this time, the execution device continues to be started, the change of the environment temperature is limited, and the environment temperature cannot be reduced quickly.
Step S25: when the execution equipment conversion rate is smaller than a threshold value, sending a starting signal to auxiliary equipment; the auxiliary device is used for assisting the execution device to improve the environmental parameters. For example, when the execution device cannot meet the cooling requirement, an auxiliary device is needed to further assist the execution device in cooling, so that the execution device can achieve the desired effect within a specified time, and the auxiliary device may be a sunshade, a blower, or the like; or when the dust in the air is increased, the dust removal effect of the execution equipment can not meet the requirement, auxiliary equipment needs to be started for auxiliary dust removal, and the auxiliary equipment can be a fan for accelerating air flow or a water spraying dust removal device and the like.
Step S26: when the conversion rate of the execution equipment is not less than the threshold value, the starting signal is not sent to the auxiliary equipment, and the state that the execution equipment operates independently is maintained. The operation of the execution equipment can meet the requirement at the moment.
Fig. 4 shows a control flow chart of the efficiency-enhancing device in the data acquisition method based on the internet of things in the embodiment of the present invention, and the specific steps include:
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 deal with high temperature in time, and great loss caused by untimely dealing with the high temperature is avoided. The high-temperature early warning value can comprise a temperature parameter value, a humidity parameter value and other values capable of measuring a high-temperature environment.
Step S31: and receiving the peak shifting operation time period information sent by the monitoring terminal. When high temperature occurs, execution equipment can be arranged to operate, other equipment also needs to operate, when a plurality of higher-power equipment operate simultaneously, the situation of insufficient power supply or unstable voltage can occur, and different equipment needs to be operated in a peak-shifting mode in order to avoid the situation.
Step S32: and calling time information through the Internet of things according to the peak-shifting operation time period information, and monitoring the time point. The time point is monitored in order to keep the main switch of the actuating device open.
Step S33: judging whether the time point is in the peak shifting operation time period information or not;
step S34: when the time point at this time is within the peak shift operation period information, a power-on signal is transmitted to the controller that controls the execution device and the efficiency improvement device. When high temperature occurs, not only the execution equipment and the auxiliary equipment need to operate, but also the synergy equipment needs to operate, and the synergy equipment can be understood as the same or different processing means as the execution equipment, for example, for cooling, the synergy equipment can be sprinkling equipment and fountain equipment which are the same 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, and can also be water absorption equipment and the like; for dust removal, the efficiency-enhancing device may also be a dust-collecting device, a dust-removing device or a filtering device, or may also be an air circulation device or the like. When the efficiency-enhancing equipment and the execution equipment are the same, the efficiency is doubled by the cooperation of the efficiency-enhancing equipment and the execution equipment; when the effect equipment is different from the execution equipment, the effect equipment and the execution equipment work in a cooperation mode, the effect equipment and the execution equipment are influenced positively, and the effects are superposed.
The execution equipment is sprinkling equipment or fountain equipment and the like, the surrounding environment is cooled by sprinkling water, and a large amount of heat is taken away by water evaporation, so that the surrounding environment becomes cool; or the moisture in the environment is heavy, the execution equipment can be a dryer or a heater, and the ambient 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: transmitting driving information of different degrees to the synergy equipment according to different difference values between the maximum environment parameter value and the high-temperature early warning value; when the efficiency-improving equipment and the executing equipment run simultaneously, the efficiency-improving equipment is used for improving the speed of the environmental parameters in multiples. The maximum environmental parameters are different in degree higher than the high-temperature early warning value, the working efficiency of the synergy equipment is different, the functions are different, and the condition of supply according to needs is realized to a certain extent.
Step S35: and when the time point is not in the peak-shifting operation period information at the moment, transmitting a power-off signal to a controller for controlling the execution equipment and the synergy equipment.
As a further embodiment of the present invention, the running time and running state information of the execution device and the running time of the efficiency improvement device are uploaded to the data management center. The data management center can receive 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 fountains on different squares, and the like.
Fig. 5 is a schematic structural diagram of a data acquisition system based on the internet of things in the embodiment of the present invention, where the system includes:
the trigger point setting module 100 is configured to set initial position information of the trigger point.
The trigger layer monitoring module 200 is configured to obtain trigger layer location 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 judgment module 300: the device is used for 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; and 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 size of the deviation distance; and for sending a suspension signal to the enforcement device when the position of the trigger layer falls back past the trigger point. The execution device is used for improving the environmental parameters according to the trigger information.
The loop determination module 300 at least includes:
a determining unit 310, configured to determine 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;
the analysis unit 320 is configured to, when the trigger layer position exceeds the trigger point position, 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, and record the distance as a deviation distance;
a trigger information generating unit 330, configured to transmit different trigger information to the execution device according to the size of the deviation distance; and
a suspension unit 340, 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 load the above method and system to operate successfully, the system may include more or less components than those described above, or combine some components, or different components, in addition to the various modules described above, for example, input/output devices, network access devices, buses, processors, memories, and the like. The memory described here is different from the above-described memory module, which belongs to a functional module inside the system, and the memory is used for existing hardware.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the client or the control center of the social system, and various interfaces and lines connecting the various parts of the overall user terminal.
The memory may be used to store computer and system programs and/or modules, and the processor may perform the various functions described above by operating or executing the computer programs and/or modules 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, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a 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 sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A data acquisition method based on the Internet of things is characterized by comprising the following steps:
setting initial position information of a trigger point;
acquiring position information of a trigger layer; 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;
transmitting different trigger information to the execution equipment according to the deviation distance; the execution equipment is used for improving the environmental parameters according to the trigger information;
when the position of the trigger layer falls back past the trigger point, a suspend signal is sent to the enforcement device.
2. The data acquisition method based on the internet of things as claimed in 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 internet of things-based data acquisition method of claim 1, wherein after the transmitting the trigger information to the execution device, the method further comprises:
acquiring the running time and running state of the execution equipment;
when the running time and the running state of the execution equipment reach preset values, sending a suspension signal to the execution equipment;
and 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 in the running process of the execution equipment, and further obtaining the environmental parameter change value.
4. The data acquisition method based on the internet of things as claimed in claim 3, wherein after obtaining the current environmental parameter and the maximum environmental parameter according to the current trigger level position information and the maximum trigger level position information obtained in the operation process of the execution device, and further obtaining the environmental parameter change value, the method further comprises:
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 less than a threshold value;
when the execution equipment conversion rate is smaller than a threshold value, sending a starting signal to auxiliary equipment; the auxiliary device is used for assisting the execution device to improve the environmental parameters.
5. The internet of things-based data acquisition method of claim 3, wherein the method further comprises:
when the maximum environmental parameter value exceeds the high-temperature early warning value, sending a high-temperature early warning signal to a monitoring end;
transmitting driving information of different degrees to the synergy equipment according to different difference values between the maximum environment parameter value and the high-temperature early warning value; when the efficiency-improving equipment and the executing equipment run simultaneously, the efficiency-improving equipment is used for improving the speed of the environmental parameters in multiples.
6. The data acquisition method based on the internet of things as claimed in claim 5, wherein after the sending of the high temperature early warning signal to the monitoring end when the maximum environmental parameter value exceeds the high temperature early warning value, the method further comprises:
receiving peak-shifting operation time period information sent by a monitoring end;
according to the peak-shifting operation time period information, time information is called through the Internet of things, and time points are monitored;
judging whether the time point is in the peak shifting operation time period information or not;
when the time point is in the off-peak operation period information, transmitting signals for controlling the execution equipment and the synergy equipment to be electrified to the controllers of the control execution equipment and the synergy equipment;
when the time point is not in the peak-shifting operation period information at the moment, signals for controlling the power-off of the execution equipment and the synergistic equipment are transmitted to the controllers for controlling the execution equipment and the synergistic equipment.
7. The data acquisition method based on the Internet of things as claimed in claim 5, wherein the running time and running state information of the execution equipment and the running time of the synergy equipment are uploaded to a data management center.
8. 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 position information of the trigger layer; 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 circulating judgment module is used for 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; and 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 size of the deviation distance; and is used for sending a suspension signal to the execution device when the position of the trigger layer falls back past the trigger point; the execution device is used for improving the environmental parameters according to the trigger information.
9. The internet of things-based data acquisition system of claim 8, wherein the loop judgment 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 or not 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 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, and recording the distance as a deviation distance;
the trigger information generating unit is used for transmitting different trigger information to the execution equipment according to the deviation distance; and
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600576.1A CN113419491B (en) | 2021-05-31 | 2021-05-31 | Data acquisition method and system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600576.1A CN113419491B (en) | 2021-05-31 | 2021-05-31 | Data acquisition method and system based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113419491A true CN113419491A (en) | 2021-09-21 |
| CN113419491B CN113419491B (en) | 2024-06-25 |
Family
ID=77713388
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110600576.1A Active CN113419491B (en) | 2021-05-31 | 2021-05-31 | Data acquisition method and system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113419491B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5718372A (en) * | 1997-03-17 | 1998-02-17 | Tishler; Carl | Temperature controller |
| JP2000111127A (en) * | 1998-09-30 | 2000-04-18 | Tabai Espec Corp | Auxiliary humidifier control device using output map |
| CN101440993A (en) * | 2008-12-22 | 2009-05-27 | 浙江大学城市学院 | Energy-saving type air conditioner automatic control switch and control method thereof |
| CN103256687A (en) * | 2013-04-28 | 2013-08-21 | 广东美的制冷设备有限公司 | Self-adaptation control method and device of air conditioner |
| CN107084505A (en) * | 2017-05-25 | 2017-08-22 | 广东美的制冷设备有限公司 | Inter-linked controlling method and system, the computer-readable medium of air conditioner and fan |
| CN108981112A (en) * | 2018-06-08 | 2018-12-11 | 广东美的制冷设备有限公司 | Air conditioner and its control method |
| CN109276736A (en) * | 2018-09-28 | 2019-01-29 | 珠海中瑞环保科技有限公司 | A kind of smart spraying system and its control method |
| CN109610396A (en) * | 2018-12-26 | 2019-04-12 | 北京智行者科技有限公司 | Unmanned cleaning vehicle and its sprinkler system control method |
| CN110726226A (en) * | 2019-10-25 | 2020-01-24 | 河北地质大学 | A kind of community environment regulation method, system and storage medium |
| CN110761235A (en) * | 2019-06-13 | 2020-02-07 | 深圳市思拓通信系统有限公司 | Intelligent control system based on sprinkling operation vehicle |
| CN110857806A (en) * | 2018-08-24 | 2020-03-03 | 广东松下环境系统有限公司 | Control method of air supply device and air supply device using same |
| CN211179432U (en) * | 2019-07-03 | 2020-08-04 | 陶继武 | Dustproof cooling automatic control device |
| CN112524779A (en) * | 2020-11-24 | 2021-03-19 | 青岛海尔空调器有限总公司 | Humidity control method and device, air conditioner and storage medium |
| CN112856725A (en) * | 2021-02-02 | 2021-05-28 | 浙江中广电器股份有限公司 | Household split air-conditioning system based on Internet of things and control method thereof |
-
2021
- 2021-05-31 CN CN202110600576.1A patent/CN113419491B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5718372A (en) * | 1997-03-17 | 1998-02-17 | Tishler; Carl | Temperature controller |
| JP2000111127A (en) * | 1998-09-30 | 2000-04-18 | Tabai Espec Corp | Auxiliary humidifier control device using output map |
| CN101440993A (en) * | 2008-12-22 | 2009-05-27 | 浙江大学城市学院 | Energy-saving type air conditioner automatic control switch and control method thereof |
| CN103256687A (en) * | 2013-04-28 | 2013-08-21 | 广东美的制冷设备有限公司 | Self-adaptation control method and device of air conditioner |
| CN107084505A (en) * | 2017-05-25 | 2017-08-22 | 广东美的制冷设备有限公司 | Inter-linked controlling method and system, the computer-readable medium of air conditioner and fan |
| CN108981112A (en) * | 2018-06-08 | 2018-12-11 | 广东美的制冷设备有限公司 | Air conditioner and its control method |
| CN110857806A (en) * | 2018-08-24 | 2020-03-03 | 广东松下环境系统有限公司 | Control method of air supply device and air supply device using same |
| CN109276736A (en) * | 2018-09-28 | 2019-01-29 | 珠海中瑞环保科技有限公司 | A kind of smart spraying system and its control method |
| CN109610396A (en) * | 2018-12-26 | 2019-04-12 | 北京智行者科技有限公司 | Unmanned cleaning vehicle and its sprinkler system control method |
| CN110761235A (en) * | 2019-06-13 | 2020-02-07 | 深圳市思拓通信系统有限公司 | Intelligent control system based on sprinkling operation vehicle |
| CN211179432U (en) * | 2019-07-03 | 2020-08-04 | 陶继武 | Dustproof cooling automatic control device |
| CN110726226A (en) * | 2019-10-25 | 2020-01-24 | 河北地质大学 | A kind of community environment regulation method, system and storage medium |
| CN112524779A (en) * | 2020-11-24 | 2021-03-19 | 青岛海尔空调器有限总公司 | Humidity control method and device, air conditioner and storage medium |
| CN112856725A (en) * | 2021-02-02 | 2021-05-28 | 浙江中广电器股份有限公司 | Household split air-conditioning system based on Internet of things and control method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113419491B (en) | 2024-06-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105610900B (en) | A kind of agricultural greenhouse indoor environment monitoring system based on embedded Internet of Things gateway | |
| CN205176701U (en) | Intelligence agricultural environment monitored control system based on big data | |
| CN203502798U (en) | A ZigBee-based Automatic Irrigation Control System for Greenhouses | |
| CN109357706A (en) | An intelligent wireless greenhouse monitoring system based on the Internet of Things | |
| Kviesis et al. | Application of wireless sensor networks in precision apiculture | |
| CN204466494U (en) | Irrigate electromagnetic valve control system and water-saving irrigation system | |
| Shufian et al. | Smart irrigation system with solar power and GSM technology | |
| Wu et al. | Remote-control system for greenhouse based on open source hardware | |
| CN104871942A (en) | Multipurpose automatic irrigation control system | |
| Thenmozhi et al. | Greenhouse management using embedded system and zigbee technology | |
| CN205721456U (en) | Warmhouse booth environment remote monitoring system based on 4G network | |
| Jadhav et al. | Automated irrigation system using wireless sensor network and Raspberry Pi | |
| CN205665603U (en) | Greenhouse environment remote intelligent monitoring system | |
| CN113419491A (en) | Data acquisition method and system based on Internet of things | |
| Talluri et al. | Iot based multipurpose uniform water showering mechanism for urban agriculture | |
| AU2021103425A4 (en) | An IOT Based Portable System for Automatic Irrigation and Fertilizer. | |
| CN213069619U (en) | Greening area management and control system based on Internet of things | |
| CN103309291A (en) | Collaborative network monitoring system for organic solid waste composts | |
| CN109002072A (en) | A kind of intelligent temperature and humidity control system based on cloud platform | |
| CN116243745B (en) | Intelligent control system for growth environment and intelligent nursery management platform | |
| CN208000509U (en) | Scale based on wireless sense network supports fowl environment automatic control system | |
| CN105136207A (en) | Solar photovoltaic greenhouse detection control system and control method thereof | |
| CN215012263U (en) | Three-dimensional greening irrigation system | |
| CN204670042U (en) | Based on the intelligent irrigation regulator control system that dynamic water content is estimated | |
| CN210406526U (en) | Intelligent watering management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |