CN112728728A - Air conditioner energy-saving strategy implementation method and system and readable storage medium - Google Patents

Air conditioner energy-saving strategy implementation method and system and readable storage medium Download PDF

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Publication number
CN112728728A
CN112728728A CN202110197917.5A CN202110197917A CN112728728A CN 112728728 A CN112728728 A CN 112728728A CN 202110197917 A CN202110197917 A CN 202110197917A CN 112728728 A CN112728728 A CN 112728728A
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air conditioner
energy
data
air
saving
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史晓平
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Shenzhen Nahai Intelligent Control Technology Co ltd
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Shenzhen Nahai Intelligent Control Technology Co ltd
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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
    • 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
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention provides an air conditioner energy-saving strategy implementation system, which comprises: the environment monitoring equipment is used for acquiring and monitoring air quality data in an area covered by the air conditioner; the energy consumption monitoring equipment is used for acquiring and monitoring energy consumption data of each line in the air conditioning system; the people flow collecting equipment is used for collecting people flow data in the coverage area of the air conditioner; the gateway central control equipment is used for summarizing and uploading data acquired by the environment monitoring equipment and the energy consumption monitoring equipment and establishing a database; the cloud analysis platform calculates the cooling capacity required by each area in the air conditioner coverage area to reach the appropriate temperature and humidity according to the content in the database and the vector data of the air conditioner coverage area by relying on the big database; the air conditioner cold output control equipment controls the air conditioner cold output according to the calculation result of the cloud analysis platform or the user-defined energy-saving strategy to achieve the optimal energy-saving control strategy; and the user management platform is used for manually carrying out auxiliary control on the system.

Description

Air conditioner energy-saving strategy implementation method and system and readable storage medium
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of air conditioner energy conservation, in particular to an air conditioner energy conservation strategy implementation method, an air conditioner energy conservation strategy implementation system and a readable storage medium.
[ background of the invention ]
According to statistics, the energy consumption of buildings in China accounts for more than 30% of the energy consumption of the headquarters, and the energy consumption of central air conditioning systems in the buildings accounts for 50% or even more than 60% of the energy consumption of the buildings. With the increasingly prominent negative effects brought to the environment by the rapid economic growth, the attention degree of green and low carbon is continuously increased, and under the large background of energy shortage and energy conservation and emission reduction, the implementation of an energy-saving strategy of a central air-conditioning system in a building reduces unnecessary energy loss, effectively saves energy consumption cost, reduces the energy consumption of the building, improves energy efficiency, is particularly necessary, and is helpful for the sustainable development of the environment, the economy and the society.
At present, the energy consumption of central air conditioning systems in most buildings reaches 50% or even more than 60%, an effective energy-saving strategy is not implemented due to the lack of an intelligent centralized control software platform, the output of cold energy in the buildings is unbalanced, and the output of the cold energy is not managed and controlled by combining the actual environmental conditions of the current area, such as temperature and humidity, air cleanliness, pedestrian volume and other vector data, so that a lot of unnecessary energy loss is increased for the air conditioning systems.
Therefore, there is a need to develop an energy saving strategy implementation system for air conditioners to address the deficiencies of the prior art and to solve or alleviate one or more of the problems.
[ summary of the invention ]
In view of the above, the invention provides an air conditioner energy-saving strategy implementation method, an air conditioner energy-saving strategy implementation system and a readable storage medium, and an air conditioner energy-saving guidance strategy and an air conditioner energy-saving guidance method are obtained based on an internet of things energy-saving emission-reduction data information cloud analysis platform and according to the marginal calculation of energy-saving emission-reduction scientific and technological management on the power consumption, the current temperature and humidity and the air quality of an air conditioner.
In one aspect, the present invention provides an energy saving policy implementation system for an air conditioner, including:
the environment monitoring equipment is used for acquiring and monitoring air quality data in an area covered by the air conditioner;
the energy consumption monitoring equipment is used for acquiring and monitoring energy consumption data of each line in the air conditioning system;
the people flow collecting equipment is used for collecting people flow data in the coverage area of the air conditioner;
the gateway central control equipment is used for summarizing and uploading data acquired by the environment monitoring equipment and the energy consumption monitoring equipment and establishing a database;
the cloud analysis platform calculates the cold quantity required by each area in the air-conditioning coverage area to reach proper temperature and humidity according to the dynamic change of the vector data by means of a cloud analysis algorithm by relying on a large database according to the content in the database and the vector data of the air-conditioning coverage area, and establishes a cold quantity demand model at the tail end of each area in the air-conditioning coverage area;
the air conditioner cold output control equipment controls the air conditioner cold output according to the calculation result of the cloud analysis platform or the user-defined energy-saving strategy to achieve the optimal energy-saving control strategy;
and the user management platform is used for carrying out auxiliary control on the air conditioning energy strategy implementation system manually.
The above-described aspects and any possible implementations further provide an implementation in which the vector data of the air-conditioning coverage area includes, but is not limited to, time, season, current weather conditions, and real-time traffic statistics of the air-conditioning coverage area.
The above aspects and any possible implementations further provide an implementation in which the air quality data includes, but is not limited to, temperature, humidity, CO2Content, PM2.5 content and formaldehyde content.
The above-described aspects and any possible implementation manners further provide an implementation manner, and the communication protocol in the gateway central control device includes but is not limited to ZIGBEE, WIFI, bluetooth, 433MHz, 315MHz, and 2G/3G/4G/5G.
The above aspects and any possible implementations further provide an implementation, where the energy consumption and electricity usage data includes, but is not limited to, power, electricity usage, and line anomaly data for each line.
The above-described aspect and any possible implementation manner further provide an implementation manner, where the custom energy-saving policy is an edge calculation algorithm program embedded in the device.
The above aspect and any possible implementation manner further provide an air conditioner energy saving strategy implementation method, where the method specifically includes the following steps:
s1: miningCollect temperature, humidity, formaldehyde content and CO of each area in the coverage area of the air conditioner2The content and the PM2.5 content are uploaded to a database;
s2: acquiring power and electric quantity energy consumption data of each line of the air conditioning system and abnormal data of a feedback line and uploading the abnormal data to a database;
s3: collecting people flow data in a building and uploading the data to a cloud analysis platform;
s4: executing an energy-saving strategy, controlling the cold output of the air conditioner, and uploading the running mode state data of the air conditioner to a database;
s5: uploading air quality data, energy consumption and electricity consumption data, people flow data and air conditioner running state data to a cloud analysis platform;
s6: the cloud analysis platform combines the vector data and the big database, and intelligently calculates the cooling capacity required by each area in the coverage area of the air conditioner to reach the appropriate temperature and humidity according to the dynamic change of the vector data through a cloud analysis algorithm;
s7: the process resumes from S4 according to the result of S6.
In the above aspect and any possible implementation manner, a further implementation manner is provided, where in step S6 is specifically to establish a model of end cold demand of each area in an air conditioner coverage area, and calculate an optimal energy saving control strategy.
The above-described aspects and any possible implementation manner further provide a readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and on which a computer program is stored, where the computer program is executed by a processor to perform any of the steps of the air-conditioning energy-saving policy implementation method.
Compared with the prior art, the invention can obtain the following technical effects: all environment monitoring equipment, energy consumption monitoring equipment, air conditioner cold output control equipment, gateway central control equipment and the like in the system belong to edge equipment, equipment self-networking except an independent INTERNET is formed between the equipment, even if the gateway central control equipment of the system is disconnected with the INTERNET, the equipment can still freely communicate with the equipment, an edge calculation algorithm program is embedded in the equipment to define an energy-saving strategy, and an air conditioner energy-saving system can still normally run to execute the energy-saving strategy; the aims of reducing unnecessary energy loss, effectively saving energy consumption cost and creating a comfortable and convenient environment with constant temperature and humidity are achieved.
Of course, it is not necessary for any one product in which the invention is practiced to achieve all of the above-described technical effects simultaneously.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a structural diagram of an air-conditioning energy-saving system lan according to an embodiment of the present invention;
fig. 2 is a control flowchart of the cloud analysis platform and the local area network according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The invention provides an air conditioner energy-saving strategy implementation method, an air conditioner energy-saving strategy implementation system and a readable storage medium, and an air conditioner energy-saving guidance strategy and an air conditioner energy-saving guidance method are obtained based on an internet of things energy-saving emission-reduction data information cloud analysis platform and according to the marginal calculation of energy-saving emission-reduction scientific and technical management on the power consumption, the current temperature and humidity and the air quality of an air conditioner.
The system comprises:
the environment monitoring equipment is used for acquiring and monitoring air quality data in an area covered by the air conditioner;
the energy consumption monitoring equipment is used for acquiring and monitoring energy consumption data of each line in the air conditioning system;
the people flow collecting equipment is used for collecting people flow data in the coverage area of the air conditioner;
the gateway central control equipment is used for summarizing and uploading data acquired by the environment monitoring equipment and the energy consumption monitoring equipment and establishing a database;
the cloud analysis platform calculates the cold quantity required by each area in the air-conditioning coverage area to reach proper temperature and humidity according to the dynamic change of the vector data by means of a cloud analysis algorithm by relying on a large database according to the content in the database and the vector data of the air-conditioning coverage area, and establishes a cold quantity demand model at the tail end of each area in the air-conditioning coverage area;
the air conditioner cold output control equipment controls the air conditioner cold output according to the calculation result of the cloud analysis platform or the user-defined energy-saving strategy to achieve the optimal energy-saving control strategy;
and the user management platform is used for carrying out auxiliary control on the air conditioning energy strategy implementation system manually.
The vector data of the air-conditioning coverage area comprises but is not limited to time, season, current weather condition and real-time people flow statistics of the air-conditioning coverage area. The air quality data includes, but is not limited to, temperature, humidity, CO2Content, PM2.5 content and formaldehyde content. The communication protocol in the gateway central control equipment comprises but is not limited to ZIGBEE, WIFI, Bluetooth, 433MHz, 315MHz and 2G/3G/4G/5G. The energy consumption and electricity consumption data includes, but is not limited to, power, electricity consumption and line anomaly data of each line. The user-defined energy-saving strategy is an edge calculation algorithm program embedded in the equipment.
The invention also provides an implementation method of the energy-saving strategy of the air conditioner, which specifically comprises the following steps:
s1: collecting temperature, humidity, formaldehyde content and CO of each area in the coverage area of the air conditioner2The content and the PM2.5 content are uploaded to a database;
s2: acquiring power and electric quantity energy consumption data of each line of the air conditioning system and abnormal data of a feedback line and uploading the abnormal data to a database;
s3: collecting people flow data in a building and uploading the data to a cloud analysis platform;
s4: executing an energy-saving strategy, controlling the cold output of the air conditioner, and uploading the running mode state data of the air conditioner to a database;
s5: uploading air quality data, energy consumption and electricity consumption data, people flow data and air conditioner running state data to a cloud analysis platform;
s6: the cloud analysis platform combines the vector data and the big database, and intelligently calculates the cooling capacity required by each area in the coverage area of the air conditioner to reach the appropriate temperature and humidity according to the dynamic change of the vector data through a cloud analysis algorithm;
s7: the process resumes from S4 according to the result of S6.
And S6 is specifically to establish a cold quantity demand model of each area terminal in the air conditioner coverage area and calculate an optimal energy-saving control strategy.
The invention also provides a readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and on which a computer program is stored, wherein the computer program is executed by a processor to perform any one of the steps of the air conditioner energy saving strategy implementation method.
The scientific and efficient air-conditioning energy-saving strategy provided by the invention utilizes the intelligent temperature and humidity detector and the intelligent air quality detector to monitor the current temperature, humidity and CO of each area in the building in real time on the basis of ensuring the human body comfort degree in each area of the building and not changing the main circuit framework of the original air-conditioning system in the building2Air quality data such as content, PM2.5, formaldehyde and the like; utilize smart electric meter, thing networking electric brake, real-time supervision building interior air conditioner systemIntegrating energy consumption and power consumption data such as power, electric quantity and the like of each line; the data are transmitted to a cloud server by using an intelligent gateway, and a database is established; the method comprises the steps of establishing a cold quantity demand model at the tail end of each area in the building by combining vector data such as time, season, current weather condition and real-time pedestrian flow of the area where the building is located and utilizing an Internet of things big data cloud analysis platform algorithm and a control algorithm of edge equipment, reasonably controlling cold quantity output of each area in the building through an intelligent air conditioner controller, and intelligently executing an energy-saving strategy matched with the current area model; the intelligent management of the air conditioning system in the building is realized, unnecessary energy loss is reduced, the energy consumption cost is effectively saved, and a comfortable and convenient environment with constant temperature and humidity is created.
The method comprises the following steps when actual specific operation is carried out:
1. the temperature and humidity sensor and the air quality detector are responsible for acquiring air quality data such as temperature, humidity, formaldehyde, CO2 content, PM2.5 and the like of each area in the building and uploading the data to the intelligent gateway
2. The intelligent ammeter and the Internet of things switch are responsible for collecting energy consumption and electricity consumption data such as power and electricity quantity of each line of an air conditioning system in a building, feeding back abnormal data of the lines in time and uploading the abnormal data to the intelligent gateway;
3. the intelligent people flow monitor is responsible for collecting people flow data in the building and uploading the people flow data to the intelligent gateway
4. The intelligent air conditioner controller executes an energy-saving strategy, controls the cold output of the air conditioner, and uploads data such as the running mode state of the air conditioner and the like to the intelligent gateway;
5. the intelligent gateway is compatible with various wireless communication protocols such as ZIGBEE, WIFI, Bluetooth, 433MHz, 315MHz, 2G/3G/4G and the like, and is responsible for uploading temperature and humidity data, air quality data, air conditioner energy consumption data, air conditioner running state data and the like in the system to the cloud server and establishing a database;
6. the Internet of things big data cloud analysis platform is combined with vector data such as time, season, current weather condition and statistical real-time pedestrian flow of a building, cold quantity required by each area in the building to reach proper temperature and humidity is intelligently calculated according to dynamic change of the vector data through a cloud analysis algorithm by depending on a big database, namely a cold quantity demand model of the tail end of each area in the building is established, and the cold quantity output of an air conditioner is controlled through an intelligent air conditioner controller to achieve an optimal energy-saving control strategy;
7. the air conditioner energy-saving control system comprises an environment monitoring device, an energy consumption monitoring device, an air conditioner cold output control device, a gateway central control device, a cloud analysis platform and a user management platform;
8. all environment monitoring equipment, energy consumption monitoring equipment, air conditioner cold output control equipment, gateway central control equipment and the like in the air conditioner energy-saving control system belong to edge equipment, equipment self-networking except an independent INTERNET is formed between the equipment, even if the gateway central control equipment of the system is disconnected with the INTERNET, the equipment can still freely communicate with the equipment, an edge calculation algorithm program is embedded in the equipment to define an energy-saving strategy, the air conditioner energy-saving system can still normally run to execute the energy-saving strategy; the aims of reducing unnecessary energy loss, effectively saving energy consumption cost and creating a comfortable and convenient environment with constant temperature and humidity are achieved.
Referring to fig. 1, according to an embodiment of the present invention, an energy saving system for an air conditioner in a local area network includes:
1. the temperature and humidity sensor and the air quality detector are responsible for collecting the temperature, the humidity, the CO content and the CO of each area in the building2Air quality data such as content and PM2.5 are uploaded to the intelligent gateway;
2. the intelligent ammeter and the Internet of things switch are responsible for collecting energy consumption and electricity consumption data such as power and electricity quantity of each line of an air conditioning system in a building, feeding back abnormal data of the lines in time and uploading the abnormal data to the intelligent gateway;
3. the intelligent people flow monitor is responsible for acquiring people flow data in the building and uploading the people flow data to the intelligent gateway;
4. the intelligent air conditioner controller executes an energy-saving strategy, controls the cold output of the air conditioner, and uploads data such as the running mode state of the air conditioner and the like to the intelligent gateway;
referring to fig. 2, according to the embodiment of the present invention, the data transmission between the cloud analysis platform and the local area network includes:
5. the intelligent gateway is compatible with various wireless communication protocols such as ZIGBEE, WIFI, Bluetooth, 433MHz, 315MHz, 2G/3G/4G and the like, and is responsible for uploading temperature and humidity data, air quality data, air conditioner energy consumption data, air conditioner running state data and the like in the system to the cloud server and establishing a database;
6. the Internet of things big data cloud analysis platform is combined with vector data such as time, season, current weather condition and statistical real-time pedestrian flow of a building, cold quantity required by each area in the building to reach proper temperature and humidity is intelligently calculated according to dynamic change of the vector data through a cloud analysis algorithm by depending on a big database, namely a cold quantity demand model of the tail end of each area in the building is established, and the cold quantity output of an air conditioner is controlled through an intelligent air conditioner controller to achieve an optimal energy-saving control strategy;
policy instance methods include, but are not limited to:
the first scheme is as follows: the air temperature reaches 32 degrees in August, the air conditioner starts up and automatically sets the temperature to be 23 degrees and a refrigeration mode, when the environment temperature in each area is detected to reach 26 degrees and the real-time monitoring of the flow of people is less, the cold quantity required by each area in the building is intelligently calculated according to the dynamic change of vector data by relying on a large database and a cloud analysis algorithm, the temperature of the air conditioner needs to be increased or the air conditioning mode needs to be switched, the cold quantity output of the air conditioner is controlled by an intelligent air conditioner controller, and the optimal energy-saving control strategy is achieved;
scheme II: the air temperature in the month of twelve is 15 ℃, the air conditioner is automatically set to be closed, when moderate pollution of air quality in each region is detected, CO2 is overhigh, the indoor temperature is high, the flow of people is monitored in real time, strategies for improving the air quality and keeping constant temperature in each region are intelligently calculated according to dynamic changes of vector data through a cloud analysis algorithm by relying on a large database, the air conditioner is controlled through an intelligent air conditioner controller, an air supply mode is started, the indoor environment is in a constant-temperature ventilation environment, and the optimal energy-saving control strategy is achieved.
The air conditioner energy-saving strategy implementation system provided by the embodiment of the application is described in detail above. The above description of the embodiments is only for the purpose of helping to understand the method of the present application and its core ideas; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
As used in the specification and claims, certain terms are used to refer to particular components. As one skilled in the art will appreciate, manufacturers may refer to a component by different names. This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. "substantially" means within an acceptable error range, and a person skilled in the art can solve the technical problem within a certain error range to substantially achieve the technical effect. The description which follows is a preferred embodiment of the present application, but is made for the purpose of illustrating the general principles of the application and not for the purpose of limiting the scope of the application. The protection scope of the present application shall be subject to the definitions of the appended claims.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The foregoing description shows and describes several preferred embodiments of the present application, but as aforementioned, it is to be understood that the application is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the application as described herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the application, which is to be protected by the claims appended hereto.

Claims (9)

1. An air conditioner energy-saving strategy implementation system is characterized by comprising:
the environment monitoring equipment is used for acquiring and monitoring air quality data in an area covered by the air conditioner;
the energy consumption monitoring equipment is used for acquiring and monitoring energy consumption data of each line in the air conditioning system;
the people flow collecting equipment is used for collecting people flow data in the coverage area of the air conditioner;
the gateway central control equipment is used for summarizing and uploading data acquired by the environment monitoring equipment and the energy consumption monitoring equipment and establishing a database;
the cloud analysis platform calculates the cold quantity required by each area in the air-conditioning coverage area to reach proper temperature and humidity according to the dynamic change of the vector data by means of a cloud analysis algorithm by relying on a large database according to the content in the database and the vector data of the air-conditioning coverage area, and establishes a cold quantity demand model at the tail end of each area in the air-conditioning coverage area;
the air conditioner cold output control equipment controls the air conditioner cold output according to the calculation result of the cloud analysis platform or the user-defined energy-saving strategy to achieve the optimal energy-saving control strategy;
and the user management platform is used for carrying out auxiliary control on the air conditioning energy strategy implementation system manually.
2. The air-conditioning energy-saving strategy implementation system according to claim 1, wherein the vector data of the air-conditioning coverage area comprises but is not limited to time, season, current weather condition and real-time people flow statistics of the air-conditioning coverage area.
3. The air conditioning energy conservation strategy implementation system of claim 1, wherein the air quality data includes, but is not limited to, temperature, humidity, CO2Content, PM2.5 content and formaldehyde content.
4. The air-conditioning energy-saving strategy implementation system of claim 1, wherein the communication protocols in the gateway central control device include, but are not limited to, ZIGBEE, WIFI, Bluetooth, 433MHz, 315MHz, and 2G/3G/4G/5G.
5. The air-conditioning energy-saving strategy implementation system according to claim 1, wherein the energy consumption and electricity consumption data comprises but is not limited to power, electricity consumption and line anomaly data of each line.
6. The air-conditioning energy-saving strategy implementation system of claim 1, wherein the customized energy-saving strategy is an edge calculation algorithm program embedded in a device.
7. An air conditioner energy-saving strategy implementation method based on the air conditioner energy-saving strategy implementation system of one of the claims 1 to 6, characterized by specifically comprising the following steps:
s1: collecting temperature, humidity, formaldehyde content and CO of each area in the coverage area of the air conditioner2The content and the PM2.5 content are uploaded to a database;
s2: acquiring power and electric quantity energy consumption data of each line of the air conditioning system and abnormal data of a feedback line and uploading the abnormal data to a database;
s3: collecting people flow data in a building and uploading the data to a cloud analysis platform;
s4: executing an energy-saving strategy, controlling the cold output of the air conditioner, and uploading the running mode state data of the air conditioner to a database;
s5: uploading air quality data, energy consumption and electricity consumption data, people flow data and air conditioner running state data to a cloud analysis platform;
s6: the cloud analysis platform combines the vector data and the big database, and intelligently calculates the cooling capacity required by each area in the coverage area of the air conditioner to reach the appropriate temperature and humidity according to the dynamic change of the vector data through a cloud analysis algorithm;
s7: s4 is performed according to the result in S6.
8. The air conditioner energy-saving strategy implementation system according to claim 1, wherein the S6 is specifically configured to establish a model of terminal cold demand of each area in the coverage area of the air conditioner and calculate an optimal energy-saving control strategy.
9. A readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and on which a computer program is stored, wherein the computer program is executed by a processor to perform the steps of the air-conditioning energy-saving policy implementing method according to any one of claims 7 to 8.
CN202110197917.5A 2021-02-22 2021-02-22 Air conditioner energy-saving strategy implementation method and system and readable storage medium Pending CN112728728A (en)

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* Cited by examiner, † Cited by third party
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CN113641491A (en) * 2021-08-10 2021-11-12 微喂苍穹(上海)健康科技有限公司 5G air disinfection edge calculation method and system
CN113746090A (en) * 2021-09-01 2021-12-03 广东电网有限责任公司 Distributed resource power demand prediction system and method
CN114017908A (en) * 2021-10-20 2022-02-08 深圳达实智能股份有限公司 Air conditioner tail end air outlet cold quantity control method and system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113641491A (en) * 2021-08-10 2021-11-12 微喂苍穹(上海)健康科技有限公司 5G air disinfection edge calculation method and system
CN113746090A (en) * 2021-09-01 2021-12-03 广东电网有限责任公司 Distributed resource power demand prediction system and method
CN113746090B (en) * 2021-09-01 2023-09-26 广东电网有限责任公司 Distributed resource power demand prediction system and method
CN114017908A (en) * 2021-10-20 2022-02-08 深圳达实智能股份有限公司 Air conditioner tail end air outlet cold quantity control method and system
CN114017908B (en) * 2021-10-20 2023-02-03 深圳达实智能股份有限公司 Air conditioner tail end air outlet cold quantity control method and system

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