CN111550915A - Air conditioner intelligent control system based on non-invasive measurement - Google Patents
Air conditioner intelligent control system based on non-invasive measurement Download PDFInfo
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- CN111550915A CN111550915A CN202010405349.9A CN202010405349A CN111550915A CN 111550915 A CN111550915 A CN 111550915A CN 202010405349 A CN202010405349 A CN 202010405349A CN 111550915 A CN111550915 A CN 111550915A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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Abstract
An air conditioner intelligent control system based on non-invasive measurement comprises a non-invasive measurement module, an edge calculation data processing module, an air conditioner control module and a cloud platform; the non-invasive measurement module, the air conditioner control module and the cloud platform are respectively connected with the edge calculation data processing module; the non-invasive measurement module sends the measured data to the edge calculation data processing module; the edge computing data processing module transmits the received measurement data to the cloud platform; the cloud platform processes and analyzes the received data to generate an optimized power utilization strategy for a user to refer to; the cloud platform can also directly send a control command to the edge computing data processing module, and the command is analyzed and transferred to the air conditioner control module through the edge computing data processing module and then is specifically executed by the air conditioner control module. By using the control system provided by the invention, the waste of the air conditioner power can be reasonably reduced, and the user is helped to effectively improve the energy utilization rate.
Description
Technical Field
The invention relates to the technical field of intelligent equipment management, in particular to an air conditioner intelligent control system based on non-invasive measurement.
Background
The air conditioner is equipment capable of processing the temperature, the humidity, the purity and the air flow velocity of air, is widely applied to the production and living needs of people at present, and becomes common electrical equipment in families, office places, scientific research laboratories, production workshops and industrial plants. The existing air conditioner generally adopts field control, generally a user needs to switch the working modes of temperature, ventilation, dehumidification and the like and set working parameters through keys on the air conditioner or an infrared remote controller, the working state of the air conditioner only depends on the operation of the user, and the control way is single and inflexible; and the selection of the working parameters of the air conditioner mainly depends on the individual sense of the user, and when the user feels uncomfortable or generates new requirements, the air conditioner is required to be adjusted again, so that the user needs to correct and adjust the working parameters of the air conditioner for many times in the using process, and the user experience is not perfect.
In addition, the power consumption of the air conditioning system is huge, the air conditioner, the refrigerator and the water heater are the first three devices on the power consumption ranking list of the household appliances, and the air conditioner is ranked at the head; according to statistics, in partial large and medium-sized cities in China, the air conditioner load proportion in summer peak periods can reach 30% -40%, and individual cities even exceed 50%, so that the safety and economic operation of a power system are greatly influenced. Therefore, the method can be used for monitoring the electric quantity of the air conditioning system in a key manner, realizes the optimization of the energy consumption of the air conditioner and has important significance on energy conservation. At present, a common method is to monitor an air conditioning system circuit by using a non-invasive measurement monitoring device, most of the methods only stay in records of electrical characteristics, power consumption, air conditioning working time and working efficiency of an air conditioning system working circuit, the result of data analysis is not direct enough, a user is often required to analyze the monitored data by himself, and the user is required to have certain professional knowledge, so that the method is limited in assisting the user in improving the power utilization strategy, the monitoring system cannot directly control the air conditioning system, only optimized power utilization strategy and use suggestion can be provided for the user to look up and reference, the user needs to wait for execution by adopting other means after selection, the execution of the power utilization strategy can be delayed for a certain time, and the improvement of the energy utilization rate is not facilitated.
Therefore, it is necessary to invent an intelligent control system for an air conditioner, which realizes accurate control of an air conditioning system, improves user experience, monitors and analyzes the power consumption behavior of air conditioning equipment, makes an air conditioning power consumption strategy for a user, improves equipment use efficiency, and saves energy.
Disclosure of Invention
The purpose of the invention is: the problem is solved, and an intelligent air conditioner control system based on non-invasive measurement is provided, so that the air conditioner can be intelligently controlled, and the user experience effect is improved; the circuit of the air-conditioning system is monitored in real time, the power utilization condition of the air-conditioning system is analyzed, an optimized power utilization strategy is generated and can be automatically executed, the air conditioner can reasonably use power, unnecessary power expenditure is reduced, and the purposes of reasonably distributing energy and saving energy are achieved.
The technical scheme for solving the problems comprises the following steps: an air conditioner intelligent control system based on non-invasive measurement comprises a non-invasive measurement module, an edge calculation data processing module, an air conditioner control module and a cloud platform; the non-invasive measurement module, the air conditioner control module and the cloud platform are respectively connected with the edge calculation data processing module; the non-invasive measurement module sends the measured data to the edge calculation data processing module; the edge computing data processing module transmits the received measurement data to the cloud platform; the cloud platform processes and analyzes the received data to generate a power utilization strategy; the cloud platform can also directly send a control command to the edge computing data processing module, and the command is analyzed and transferred to the air conditioner control module through the edge computing data processing module and then is specifically executed by the air conditioner control module.
Furthermore, the connection among the non-invasive measurement module, the air conditioner control module and the edge calculation data processing module is realized by adopting a power carrier communication technology, the communication can be realized at the place with a power line by applying the power carrier communication technology, other networks do not need to be additionally arranged on the site, and the use is convenient.
Furthermore, the non-invasive measurement module comprises a data acquisition module and a data preprocessing module, wherein the data acquisition module collects characteristic information data on the circuit to be measured in a non-invasive manner and sends the characteristic information data to the data preprocessing module; the characteristic information data comprises current, voltage, harmonic and other data; the data preprocessing module performs primary processing on the data collected by the data acquisition module, for example, load power is calculated according to current and voltage, and the processed data is sent to the cloud platform.
Further, the air conditioner control module adopts one or more of infrared, bluetooth and radio technology to realize the control to air conditioning equipment, and is preferred, adopts infrared technology to realize controlling air conditioning equipment, and infrared controller commonality is strong, and most air conditioners all can directly match the use in the market.
Furthermore, the data acquisition module also comprises a temperature monitoring module which is used for collecting the temperature information of the circuit to be measured; when the temperature data is abnormal, the cloud platform sends early warning notice to the mobile terminal and the PC terminal, can discover the fire in time and notify related personnel, and effectively reduces casualties and property loss caused by fire.
Furthermore, the non-invasive measurement module comprises a circuit protection module, and when the acquisition module monitors that the circuit system is seriously abnormal, the circuit protection module automatically executes circuit disconnection operation so as to avoid accidents such as fire and the like and prevent loss; meanwhile, relevant abnormal information is sent to relevant personnel through the cloud platform, and managers are informed to overhaul.
Furthermore, the cloud platform can realize the functions of load feature extraction, event detection, load identification, intelligent power analysis and intelligent control; after the cloud platform receives data transmitted by the edge computing data processing equipment, the load characteristic is extracted by using a load characteristic extraction function, and then whether the air conditioner starts or stops operation is judged according to the obtained load circuit data through an event detection function, namely whether the air conditioner equipment in a monitoring circuit has a start or stop event is judged through the change generated by the load circuit data. And the load identification function carries out load identification according to the existing load characteristic database to obtain the brand model information of the current air-conditioning equipment. The intelligent power utilization analysis and intelligent control function can give an intelligent analysis result, a power utilization guidance scheme and a power utilization strategy according to the historical power utilization condition of the equipment, and can issue an intelligent control instruction if necessary to automatically regulate and control the air conditioning equipment.
Furthermore, the edge computing data processing module can also realize the functions of load feature extraction and event detection, shares part of computing pressure for the cloud platform and improves the working efficiency of the cloud platform.
Furthermore, the cloud platform sends the power utilization strategy generated by analysis to the mobile terminal or the PC terminal through the Internet, and the mobile terminal or the PC terminal can also access the cloud platform through the Internet to check related data information.
Furthermore, the control system can be simultaneously connected with a plurality of air conditioners to monitor the plurality of air conditioners, the plurality of air conditioners share one set of control system, the cost is saved, unified management can be realized, the overall regulation and control of the power grid power are facilitated, for example, in a power utilization peak area, the temperature of all the air conditioners in a certain area can be regulated up to one degree, and the saved electric energy is used for supporting other areas.
The invention has the beneficial effects that: the air conditioning equipment is monitored in a non-invasive mode, an original circuit of the air conditioning equipment does not need to be damaged or modified, the measurement module can be accessed without power failure, and the installation and maintenance are convenient; the system has good expansibility, a plurality of air-conditioning systems can share one power monitoring device, and the hardware cost of the system is effectively reduced; the data transmission between the modules is carried out by adopting a power line carrier communication technology, the data signal transmission speed is high, a network does not need to be erected, and the installation cost is reduced; the cloud platform intelligently processes and analyzes the electricity utilization condition of the monitored equipment, scientific and effective electricity utilization suggestions are given, and a user can optimize electricity utilization by checking the electricity utilization condition and the electricity utilization suggestions obtained according to intelligent analysis; the cloud platform can also send an intelligent control instruction according to the actual situation to automatically control the air conditioner, wherein the instruction comprises starting, shutting down, switching modes, adjusting temperature, wind power and the like, and remote control is realized without manual remote control operation; the control system can also be additionally provided with a temperature monitoring module and a circuit protection module, when the temperature value is detected to be normal, an early warning notice can be sent out, and when serious abnormal conditions occur, the circuit protection module can automatically cut off the power supply, so that accidents are avoided in advance.
Drawings
FIG. 1 is a schematic flow diagram of an embodiment of the present invention;
FIG. 2 is a schematic diagram of the control system of the present invention connected to a plurality of air conditioning units;
FIG. 3 is a flow chart of the cloud platform of the present invention.
Detailed Description
The invention is further explained with reference to the drawings and the embodiments.
Examples
As shown in fig. 1-3, the present embodiment is an intelligent air conditioner control system based on non-invasive measurement, including a non-invasive measurement module, an edge calculation data processing module, an air conditioner control module, and a cloud platform; the non-invasive measurement module, the air conditioner control module and the cloud platform are respectively connected with the edge calculation data processing module; the non-invasive measurement module sends the measured data to the edge calculation data processing module; the edge computing data processing module transmits the received measurement data to the cloud platform; the cloud platform processes and analyzes the received data to generate a power utilization strategy; the cloud platform can also directly send a control command to the edge computing data processing module, and the command is analyzed and transferred to the air conditioner control module through the edge computing data processing module and then is specifically executed by the air conditioner control module.
The connection among the non-invasive measurement module, the air conditioner control module and the edge calculation data processing module is realized by adopting a power carrier communication technology, the communication can be realized at the place with a power line by applying the power carrier communication technology, other networks do not need to be additionally arranged on the site, and the use is convenient.
The non-invasive measurement module comprises a data acquisition module and a data preprocessing module, wherein the data acquisition module collects characteristic information data on a circuit to be measured in a non-invasive mode and sends the characteristic information data to the data preprocessing module; the data acquisition module of the embodiment adopts instruments such as a current transformer, a Hall sensor and the like to measure or record data such as current, voltage, a magnetic field, harmonic waves and the like in a circuit; the data preprocessing module performs primary processing on the data collected by the data acquisition module, for example, the load power is calculated according to the current and the voltage, the processed data is sent to the cloud platform, and the data preprocessing module can adopt a single chip microcomputer.
The air conditioner control module of this embodiment adopts infrared technology to realize controlling air conditioning equipment, and the infrared controller commonality is strong, and most air conditioners all can directly match the use on the market, and the air conditioner control module of this embodiment constitutes and the principle is the same with current ordinary infrared remote controller, does not do here and does not describe repeatedly.
The data acquisition module of the embodiment also comprises a temperature monitoring module for collecting the temperature information of the circuit to be measured; the temperature monitoring module utilizes temperature sensor to realize its function, and when temperature data was unusual, the cloud platform sent the early warning notice to removing end and PC end, can in time discover the condition of a fire and inform relevant personnel, effectively reduces casualties and loss of property because of the conflagration arouses.
The non-invasive measurement module of the embodiment further comprises a circuit protection module, and when the acquisition module monitors that the circuit system is seriously abnormal, the circuit protection module automatically executes circuit disconnection operation so as to avoid accidents such as fire and the like and prevent loss; meanwhile, relevant abnormal information is sent to relevant personnel through the cloud platform, and managers are informed to overhaul.
The cloud platform can realize the functions of load feature extraction, event detection, load identification, intelligent power analysis and intelligent control; after the cloud platform receives data transmitted by the edge computing data processing equipment, the load characteristic is extracted by using a load characteristic extraction function, and then whether the air conditioner starts or stops operation is judged according to the obtained load circuit data through an event detection function, namely whether the air conditioner equipment in a monitoring circuit has a start or stop event is judged through the change generated by the load circuit data. And the load identification function carries out load identification according to the existing load characteristic database to obtain the brand model information of the current air-conditioning equipment. The intelligent power utilization analysis and intelligent control function can give an intelligent analysis result, a power utilization guidance scheme and a power utilization strategy according to the historical power utilization condition of the equipment, and can issue an intelligent control instruction if necessary to automatically regulate and control the air conditioning equipment.
The edge computing data processing module of the embodiment can also realize the functions of load feature extraction and event detection, shares part of computing pressure for the cloud platform, and improves the working efficiency of the cloud platform. The cloud platform sends the power utilization strategy generated by analysis to the mobile terminal or the PC terminal through the Internet, and the mobile terminal or the PC terminal can also access the cloud platform through the Internet to check related data information.
As shown in fig. 2, the control system of this embodiment may be simultaneously connected to a plurality of air conditioners to monitor the plurality of air conditioners, and the plurality of air conditioners share a part of hardware devices, thereby saving cost, and achieving unified management, which is beneficial to overall regulation and control of power grid power and power configuration, for example, in a power consumption peak area, achieving one-time temperature adjustment of all air conditioners in a certain area, and using the saved power to support other areas, and is particularly suitable for places where unified management is performed, such as school dormitories.
It should be understood that the present invention is not limited to the above embodiments, but may be implemented by various combinations and modifications of the above technical features, and those skilled in the art can modify, substitute, and use the structure or method of the present invention in other fields without departing from the spirit and scope of the present invention.
Claims (10)
1. An air conditioner intelligent control system based on non-invasive measurement comprises a non-invasive measurement module, an edge calculation data processing module, an air conditioner control module and a cloud platform; data that non-invasive measurement module collected, after edge calculation data processing module handles, send to the cloud platform, cloud platform analysis data generates the power consumption strategy and issues control command to edge calculation data processing module, its characterized in that: the edge calculation data processing module transmits the command to the air conditioner control module, and the air conditioner control module executes the command.
2. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 1, wherein: the non-invasive measurement module, the air conditioner control module and the edge calculation data processing module are connected by adopting a power carrier communication technology.
3. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 1, wherein: the non-invasive measurement module comprises a data acquisition module and a data preprocessing module, the data acquisition module collects characteristic information data on a circuit to be measured in a non-invasive mode and sends the characteristic information data to the data preprocessing module, the characteristic information data comprise current, voltage and harmonic data, and the data preprocessing module conducts preliminary processing on the data collected by the data acquisition module, such as load power calculation according to the current and the voltage.
4. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 3, wherein: the air conditioner control module adopts one or more of infrared, Bluetooth and radio technologies to realize the control of the air conditioner equipment.
5. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 4, wherein: the data acquisition module comprises a temperature monitoring module, and the temperature monitoring module is used for collecting temperature information of the circuit to be detected; when the temperature data are abnormal, the cloud platform sends early warning notifications to the mobile terminal and the PC terminal.
6. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 5, wherein: the non-invasive measurement module comprises a circuit protection module, when the acquisition module monitors that the circuit system is seriously abnormal, the circuit protection module automatically executes circuit breaking operation to avoid loss, and simultaneously sends related abnormal notifications to a user through the cloud platform.
7. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 1, wherein: the cloud platform realizes the functions of load feature extraction, event detection, load identification, intelligent power consumption analysis and intelligent control.
8. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 7, wherein: the edge computing data processing module realizes the functions of load feature extraction and event detection and shares the computing pressure of the cloud platform.
9. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 8, wherein: the cloud platform sends the power utilization strategy generated by analysis to the mobile terminal or the PC terminal through the wireless internet.
10. The intelligent air-conditioning control system based on non-invasive measurement as claimed in claim 1, wherein: the control system is simultaneously connected with the air-conditioning equipment, so that the air-conditioning equipment can be monitored simultaneously, the air-conditioning equipment shares one control system, the cost is saved, unified management is realized, and the air-conditioning system is particularly suitable for places for unified management, such as air-conditioning management in a student dormitory.
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| CN114877493A (en) * | 2022-05-26 | 2022-08-09 | 青岛世纪环宇节能科技有限公司 | Combined air conditioner energy-saving control system and method based on edge algorithm deep learning |
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Application publication date: 20200818 |