CN115574429A - Energy-saving and efficiency-increasing intelligent control method and system for air conditioner - Google Patents

Energy-saving and efficiency-increasing intelligent control method and system for air conditioner Download PDF

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Publication number
CN115574429A
CN115574429A CN202211184008.9A CN202211184008A CN115574429A CN 115574429 A CN115574429 A CN 115574429A CN 202211184008 A CN202211184008 A CN 202211184008A CN 115574429 A CN115574429 A CN 115574429A
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output
optimal
scheme
area
air conditioner
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CN115574429B (en
Inventor
鲍卫东
钟伟
赵恒亮
何胜平
鲍宁
陈英俊
张午天
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Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Yiwu Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Yiwu Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/65Electronic processing for selecting an operating mode
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/65Electronic processing for selecting an operating mode
    • F24F11/66Sleep mode
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/10Temperature
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/20Humidity
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00Control inputs relating to users or occupants
    • F24F2120/10Occupancy
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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

Abstract

The invention relates to the field of intelligent home control, and discloses an energy-saving and efficiency-increasing intelligent control method and system for an air conditioner.

Description

Energy-saving and efficiency-increasing intelligent control method and system for air conditioner
Technical Field
The invention relates to the field related to intelligent home control, in particular to an energy-saving and efficiency-increasing intelligent control method and system for an air conditioner.
Background
The air conditioner is taken as household equipment for improving the quality of life, and becomes an irreplaceable part in the life of people, the working mode of the air conditioner determines that different use requirements of users can be realized in different seasons, but the air conditioner usually generates larger energy consumption due to high power during operation, and different user habits further improve the consumption level.
The intelligent air conditioner in the prior art mostly adopts a frequency conversion control mode to carry out intelligent refrigeration and heating output, thereby realizing an energy-saving effect based on environmental balance in long-time operation, but the basic output principle is still traditional, so that certain hysteresis exists in the output of the intelligent air conditioner, a user can be prompted to control the air conditioner to output at a higher energy consumption level, the energy consumption is improved, and a certain influence can be generated on the health of the user even for a long time.
Disclosure of Invention
The invention aims to provide an energy-saving and efficiency-increasing intelligent control method and system for an air conditioner, which aim to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an energy-saving and efficiency-increasing intelligent control system of an air conditioner comprises:
the system comprises an object monitoring module, a data processing module and a data processing module, wherein the object monitoring module is used for monitoring a user object through a preset biological sensing module to acquire biological sensing information of the user object, the biological sensing information comprises object position data and object physiological data, and the object physiological data is used for representing the temperature distribution condition of the object user and the current physiological state of the user;
the environment monitoring module is used for monitoring a control area through a preset environment sensing module, acquiring environment distribution information of the control area, and establishing a twin space model of the control area according to the environment distribution information and the biosensing information, wherein the environment distribution information comprises temperature distribution data and humidity distribution data;
the adjusting intelligent control module is used for judging the adjusting stage of the twin space model according to a preset stage judgment standard to obtain an output adjusting scheme, the stage judgment standard is established based on the environment distribution information in the twin space model, and the output adjusting scheme is used for representing the execution sequence and the execution mode of the air conditioner refrigeration output;
and the adaptation intelligent control module is used for carrying out adaptation phase judgment on the twin space model through a preset adaptation judgment standard to obtain an adaptation regulation scheme, wherein the adaptation judgment standard is based on the object physiological data and the environment distribution information is established, and the adaptation regulation scheme is used for representing the strength of the air conditioner refrigeration output.
As a further scheme of the invention: the system comprises a preset optimal temperature, wherein the optimal temperature is set based on the average humidity and the air pressure intensity of the control area, and the output adjusting scheme comprises an area following scheme, a space balancing scheme and a range stabilizing scheme;
the area following scheme is used for acquiring the object position data, establishing an output following area and controlling the air conditioner output based on the output following area when the temperature distribution data in the twin space model do not accord with the maintaining range value of the optimal temperature, wherein the output following area is the position of the twin space model corresponding to the object position data on the side of the air supply direction;
the space balance scheme is used for sequentially establishing a plurality of space balance areas covering the control area in a radial manner based on the output following area and controlling the air conditioner to sequentially output the space balance areas when the temperature distribution data in the output following area is in the maintaining range value of the optimal temperature;
and the range stabilizing scheme is used for controlling the air conditioner to output to the output following area when the plurality of space balancing areas reach the stabilizing range of the optimal temperature, so that the output following area reaches the optimal temperature.
As a further scheme of the invention: the air conditioner is characterized by further comprising a plurality of preset optimal gears, each different optimal gear is provided with the corresponding optimal temperature, the optimal temperatures are sequentially and adjacently arranged, and the optimal gears are used for realizing output control of the air conditioner.
As a further scheme of the invention: each optimal gear further comprises an optimal sleep temperature, the optimal sleep temperature is used for representing an optimal environment temperature in a sleep state, and when the physiological data of the user show that the user object is in the sleep state, the optimal sleep temperature is used for replacing the optimal temperature.
As a still further scheme of the invention: the number of the user objects can be multiple, when the number of the user objects is multiple, discrete judgment is carried out according to object position data of the user objects, one or more output following areas are established according to a discrete judgment result, and if the number of the user objects in the output following areas is different, output order marks are established for the output following areas according to the descending order of the number of the user objects in the output following areas.
As a further scheme of the invention: and when the object physiological data of the user objects are all displayed in a sleep state, acquiring the body surface temperatures of the user objects according to the object physiological data, and taking one side, away from other user objects, of the user object with the highest body surface temperature as an output following area.
The embodiment of the invention aims to provide an energy-saving and efficiency-improving intelligent control method for an air conditioner, which comprises the following steps:
monitoring a user object through a preset biological sensing module to obtain biological sensing information of the user object, wherein the biological sensing information comprises object position data and object physiological data, and the object physiological data is used for representing the temperature distribution condition of the object user and the current physiological state of the user;
monitoring a control area through a preset environment sensing module, acquiring environment distribution information of the control area, and establishing a twin space model of the control area according to the environment distribution information and the biosensing information, wherein the environment distribution information comprises temperature distribution data and humidity distribution data;
judging the adjusting stage of the twin space model through a preset stage judgment standard to obtain an output adjusting scheme, wherein the stage judgment standard is established based on the environment distribution information in the twin space model, and the output adjusting scheme is used for representing the execution sequence and the execution mode of the air conditioner refrigeration output;
and judging the adaptation stage of the twin space model through a preset adaptation judgment standard to obtain an adaptation regulation scheme, wherein the adaptation judgment standard is established based on the physiological data of the object and the environmental distribution information, and the adaptation regulation scheme is used for representing the intensity of the refrigeration output of the air conditioner.
As a further scheme of the invention: the system comprises a preset optimal temperature, wherein the optimal temperature is set based on the average humidity and the air pressure intensity of the control area, and the output adjusting scheme comprises an area following scheme, a space balancing scheme and a range stabilizing scheme;
the area following scheme is used for acquiring the object position data, establishing an output following area and controlling the air conditioner to output based on the output following area when the temperature distribution data in the twin space model do not accord with the maintaining range value of the optimal temperature, wherein the output following area is the position of the twin space model corresponding to the object position data on the side of the air supply direction;
the space balance scheme is used for sequentially establishing a plurality of space balance areas covering the control area in a radial manner based on the output following area and controlling the air conditioner to sequentially output the space balance areas when the temperature distribution data in the output following area is in the maintaining range value of the optimal temperature;
and the range stabilizing scheme is used for controlling the air conditioner to output to the output following area when the plurality of space balancing areas reach the stabilizing range of the optimal temperature, so that the output following area reaches the optimal temperature.
As a still further scheme of the invention: still including a plurality of best gears of predetermineeing, every is different the best gear is equipped with respectively correspondingly the optimum temperature, it is a plurality of the optimum temperature is adjacent setting in proper order, the best gear is used for realizing right the output control of air conditioner.
Compared with the prior art, the invention has the beneficial effects that: through the setting of relevant module, realized the regional output control based on user's object information and environmental distribution information, realized more high-efficient and healthy refrigeration and heating, made the air conditioner can be faster bring corresponding comfortable environmental effect for the user to reduce the demand of user to the more extreme temperature output of air conditioner, reduce the consumption to the energy, also played the purpose of protecting user's health.
Drawings
Fig. 1 is a block diagram of an energy-saving and efficiency-increasing intelligent control system of an air conditioner.
Fig. 2 is a flow chart of an energy-saving and efficiency-increasing intelligent control method for an air conditioner.
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 do not limit the invention.
Specific embodiments of the present invention are described in detail below with reference to specific examples.
As shown in fig. 1, an energy-saving and efficiency-enhancing intelligent control system for an air conditioner according to an embodiment of the present invention includes:
the object monitoring module 100 is configured to monitor a user object through a preset biological sensing module, and acquire biological sensing information of the user object, where the biological sensing information includes object position data and object physiological data, and the object physiological data is used to represent a temperature distribution condition of the object user and a current physiological state of the user.
The environment monitoring module 300 is configured to monitor a control area through a preset environment sensing module, acquire environment distribution information of the control area, and establish a twin space model of the control area according to the environment distribution information and the biosensing information, where the environment distribution information includes temperature distribution data and humidity distribution data.
And the adjusting intelligent control module 500 is used for judging the adjusting stage of the twin space model through a preset stage judgment standard, and acquiring an output adjusting scheme, wherein the stage judgment standard is based on the environment distribution information in the twin space model, and the output adjusting scheme is used for representing the execution sequence and the execution mode of the air-conditioning refrigeration output.
An adaptation intelligent control module 700 for it is right through the predetermined adaptation standard of judgement twin space model carries out the judgement in the adaptation phase, acquires the adaptation regulation scheme, the adaptation standard of judgement is based on object physiological data and the environmental distribution information is established, the adaptation regulation scheme is used for the sign the intensity of air conditioner refrigeration output.
In this embodiment, an energy-saving and efficiency-improving intelligent control system for an air conditioner is provided, which is intended to control the air conditioner based on a changing environment and a target, so as to achieve more efficient utilization of the air conditioner and achieve the purpose of reducing energy consumption, specifically, when the system is in use, the object monitoring module 100 and the environment monitoring module 300 are respectively used for collecting and monitoring data of people and environment in a space covered by the air conditioner, so as to achieve targeted tracking output based on movement of people indoors (of course, cold air or hot air is not directly output to the position of people but is output at the edge in the surrounding range when the air conditioner is output) (which can enable the air conditioner to generate a faster effect after being turned on and can also reduce the possibility of the user to turn down or turn up the air conditioner), wherein the adjusting intelligent control module 500 is used for controlling the output mode of the air conditioner according to the environmental state in the space, for example, output by following people or horizontal scanning in a room, and the adaptive intelligent control module 700 is equivalent to a frequency conversion function in the prior art.
As another preferred embodiment of the present invention, a preset optimal temperature is included, the optimal temperature is set based on the average humidity and the air pressure intensity of the controlled area, and the output adjustment scheme includes an area following scheme, a space balancing scheme and a range stabilizing scheme;
and the area following scheme is used for acquiring the object position data, establishing an output following area and controlling the air conditioner output based on the output following area when the temperature distribution data in the twin space model do not accord with the maintaining range value of the optimal temperature, wherein the output following area is the position of the twin space model corresponding to the object position data on the side of the air supply direction.
And the space balance scheme is used for sequentially establishing a plurality of space balance areas covering the control area in a radial manner based on the output following area and controlling the air conditioner to sequentially output the space balance areas when the temperature distribution data in the output following area is in the maintaining range value of the optimal temperature.
The range stabilizing scheme is used for controlling the air conditioner to output to the output following area when a plurality of space balancing areas reach a stable range of the optimal temperature, so that the output following area reaches the optimal temperature.
In this embodiment, the area following scheme proposed in the intelligent control module 500 is further described, and in specific use, it can be understood that, when a user enters an indoor environment to start the air conditioner, the intelligent control system monitors the existence of the user, and therefore, the indoor space is large, and it takes a certain time to make the temperature of the space reach a suitable optimal temperature, so that in order to make the user quickly locate in a more comfortable environment, the area following scheme is adopted, which is based on the principle that the output of the air conditioner follows the movement of the user, so as to create a more comfortable environment (i.e., an output following area) around the user, and when the environment of the area basically reaches a comfortable level, in order to make the area maintain, the intelligent control system needs to gradually perform synchronous temperature control on the surrounding environment, at this time, the whole space is controlled by the space balancing scheme, and when the whole space basically locates in a more comfortable environment, the area stabilizing scheme performs further temperature control on the surroundings of the user, so that the temperature is reached, and a most suitable environment is created (which may also include humidity control).
As another preferred embodiment of the present invention, the air conditioner further includes a plurality of preset optimal gears, each different optimal gear is respectively provided with a corresponding optimal temperature, the plurality of optimal temperatures are sequentially and adjacently arranged, and the optimal gear is used for implementing output control of the air conditioner.
Further, each optimal gear further comprises an optimal sleep temperature, wherein the optimal sleep temperature is used for representing an optimal environment temperature in a sleep state, and when the physiological data of the user show that the user object is in the sleep state, the optimal sleep temperature is used for replacing the optimal temperature.
In this embodiment, the optimal temperature is expanded here, because the standard optimal temperature is established based on biological and medical big data, but there is a certain difference between the standard optimal temperature and the big data of each person, so that the optimal temperature can be adjusted steplessly by setting a plurality of or within a certain range to adapt to each different user object, and the energy consumption can be reduced to a certain extent by using the optimal temperature as a control mode of the gear, and the user does not know about the discomfort caused by the low temperature in the temperature control.
As another preferred embodiment of the present invention, the number of the user objects may be multiple, when the number of the user objects is multiple, discrete determination is performed according to object position data of multiple user objects, so as to establish one or multiple output following areas according to a discrete determination result, and if the number of the user objects in multiple output following areas is different, an output order flag is established for multiple output following areas according to a descending order of the number of the user objects in the output following areas.
Further, when the object physiological data of the plurality of user objects are all displayed in a sleep state, the body surface temperatures of the plurality of user objects are obtained according to the object physiological data, and one side, far away from other user objects, of the user object with the highest body surface temperature is taken as an output following area.
In this embodiment, to the user's object quantity for a plurality of circumstances, how to carry out output and follow regional setting and processing, when a plurality of user's objects gather, then only need set up a wider output and follow the region alright, and when the user's object separates, then need set up a plurality of output and follow the region, and establish priority order according to the personnel number value in the different output follow regions, simultaneously when the user's object is asleep, different people are different to the sensitivity of temperature, consequently, carry out the skew setting with output follow region, for example, in summer, set up output follow region in the people's of easy-to-heat physique one side, also can realize that air conditioning obtains appropriate reduction when reaching people's one side of easy-to-cool physique.
As shown in fig. 2, the invention also provides an energy-saving and efficiency-increasing intelligent control method for an air conditioner, which comprises the following steps:
s200, monitoring a user object through a preset biological sensing module, and acquiring biological sensing information of the user object, wherein the biological sensing information comprises object position data and object physiological data, and the object physiological data is used for representing the temperature distribution condition of the object user and the current physiological state of the user.
S400, monitoring a control area through a preset environment sensing module, acquiring environment distribution information of the control area, and establishing a twin space model of the control area according to the environment distribution information and the biosensing information, wherein the environment distribution information comprises temperature distribution data and humidity distribution data.
S600, judging the adjusting stage of the twin space model through a preset stage judgment standard, and obtaining an output adjusting scheme, wherein the stage judgment standard is established based on the environment distribution information in the twin space model, and the output adjusting scheme is used for representing the execution sequence and the execution mode of the air conditioner refrigeration output.
S800, judging the adaptation stage of the twin space model according to a preset adaptation judgment standard to obtain an adaptation regulation scheme, wherein the adaptation judgment standard is established based on the physiological data of the object and the environmental distribution information, and the adaptation regulation scheme is used for representing the intensity of the refrigeration output of the air conditioner.
As another preferred embodiment of the present invention, a preset optimal temperature is included, the optimal temperature is set based on the average humidity and the barometric pressure intensity of the controlled area, and the output adjustment scheme includes an area following scheme, a space balancing scheme, and a range stabilizing scheme;
and the area following scheme is used for acquiring the object position data, establishing an output following area and controlling the air conditioner output based on the output following area when the temperature distribution data in the twin space model do not accord with the maintaining range value of the optimal temperature, wherein the output following area is the position of the twin space model corresponding to the object position data on the side of the air supply direction.
And the space balance scheme is used for sequentially establishing a plurality of space balance areas covering the control area in a radial manner based on the output following area and controlling the air conditioner to sequentially output the space balance areas when the temperature distribution data in the output following area is in the maintaining range value of the optimal temperature.
And the range stabilizing scheme is used for controlling the air conditioner to output to the output following area when the plurality of space balancing areas reach the stabilizing range of the optimal temperature, so that the output following area reaches the optimal temperature.
As another preferred embodiment of the present invention, the air conditioner further includes a plurality of preset optimal gears, each different optimal gear is provided with a corresponding optimal temperature, the optimal temperatures are sequentially and adjacently set, and the optimal gear is used for implementing output control of the air conditioner.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (9)

1. The utility model provides an energy-conserving supplementary potentiating's air conditioner intelligence accuse system which characterized in that includes:
the system comprises an object monitoring module, a data processing module and a data processing module, wherein the object monitoring module is used for monitoring a user object through a preset biological sensing module to acquire biological sensing information of the user object, the biological sensing information comprises object position data and object physiological data, and the object physiological data is used for representing the temperature distribution condition of the object user and the current physiological state of the user;
the environment monitoring module is used for monitoring a control area through a preset environment sensing module, acquiring environment distribution information of the control area, and establishing a twin space model of the control area according to the environment distribution information and the biosensing information, wherein the environment distribution information comprises temperature distribution data and humidity distribution data;
the adjusting intelligent control module is used for judging the adjusting stage of the twin space model according to a preset stage judgment standard to obtain an output adjusting scheme, the stage judgment standard is established based on the environment distribution information in the twin space model, and the output adjusting scheme is used for representing the execution sequence and the execution mode of the air conditioner refrigeration output;
and the adaptation intelligent control module is used for carrying out adaptation phase judgment on the twin space model through a preset adaptation judgment standard to obtain an adaptation regulation scheme, wherein the adaptation judgment standard is based on the object physiological data and the environment distribution information is established, and the adaptation regulation scheme is used for representing the strength of the air conditioner refrigeration output.
2. The energy-saving and efficiency-improving air-conditioning intelligent control system according to claim 1, characterized by comprising a preset optimal temperature, wherein the optimal temperature is set based on the average humidity and the air pressure intensity of the control area, and the output regulation scheme comprises an area following scheme, a space balancing scheme and a range stabilizing scheme;
the area following scheme is used for acquiring the object position data, establishing an output following area and controlling the air conditioner output based on the output following area when the temperature distribution data in the twin space model do not accord with the maintaining range value of the optimal temperature, wherein the output following area is the position of the twin space model corresponding to the object position data on the side of the air supply direction;
the space balance scheme is used for sequentially establishing a plurality of space balance areas covering the control area in a radial manner based on the output following area and controlling the air conditioner to sequentially output the space balance areas when the temperature distribution data in the output following area is in the maintaining range value of the optimal temperature;
and the range stabilizing scheme is used for controlling the air conditioner to output to the output following area when the plurality of space balancing areas reach the stabilizing range of the optimal temperature, so that the output following area reaches the optimal temperature.
3. The energy-saving and efficiency-improving intelligent control system for air conditioners as claimed in claim 2, further comprising a plurality of preset optimal gears, wherein each different optimal gear is respectively provided with a corresponding optimal temperature, the optimal temperatures are sequentially and adjacently arranged, and the optimal gears are used for realizing output control of the air conditioners.
4. The energy-saving and efficiency-improving intelligent control system of an air conditioner as claimed in claim 3, wherein each optimal gear further comprises an optimal sleeping temperature, the optimal sleeping temperature is used for representing an optimal environment temperature in a sleeping state, and the optimal sleeping temperature is used to replace the optimal temperature when the physiological data of the user shows that the user subject is in the sleeping state.
5. An energy-saving and efficiency-improving intelligent control system for air conditioners as claimed in claim 1, wherein the number of said user objects is plural, when the number of said user objects is plural, discrete judgment is performed according to object position data of plural said user objects, so as to establish one or more said output following areas according to the discrete judgment result, if the number of said user objects in plural said output following areas is different, output order marks are established for plural said output following areas according to the descending order of the number of said user objects in said output following areas.
6. The energy-saving and efficiency-improving intelligent control system for air conditioners as claimed in claim 5, wherein when the physiological data of a plurality of the user objects are all displayed in a sleeping state, the body surface temperatures of the user objects are obtained according to the physiological data of the user objects, and the side, away from other user objects, of the user object with the highest body surface temperature is taken as an output following area.
7. An energy-saving and efficiency-increasing intelligent control method for an air conditioner is characterized by comprising the following steps:
monitoring a user object through a preset biological sensing module to obtain biological sensing information of the user object, wherein the biological sensing information comprises object position data and object physiological data, and the object physiological data is used for representing the temperature distribution condition of the object user and the current physiological state of the user;
monitoring a control area through a preset environment sensing module, acquiring environment distribution information of the control area, and establishing a twin space model of the control area according to the environment distribution information and the biosensing information, wherein the environment distribution information comprises temperature distribution data and humidity distribution data;
judging the adjusting stage of the twin space model through a preset stage judgment standard to obtain an output adjusting scheme, wherein the stage judgment standard is established based on the environment distribution information in the twin space model, and the output adjusting scheme is used for representing the execution sequence and the execution mode of the air conditioner refrigeration output;
and judging the adaptation stage of the twin space model through a preset adaptation judgment standard to obtain an adaptation regulation scheme, wherein the adaptation judgment standard is established based on the physiological data of the object and the environmental distribution information, and the adaptation regulation scheme is used for representing the intensity of the refrigeration output of the air conditioner.
8. The energy-saving and efficiency-improving intelligent control method for the air conditioner according to claim 7, wherein the preset optimal temperature is included, the optimal temperature is set based on the average humidity and the air pressure intensity of the control area, and the output regulation scheme includes an area following scheme, a space balancing scheme and a range stabilizing scheme;
the area following scheme is used for acquiring the object position data, establishing an output following area and controlling the air conditioner output based on the output following area when the temperature distribution data in the twin space model do not accord with the maintaining range value of the optimal temperature, wherein the output following area is the position of the twin space model corresponding to the object position data on the side of the air supply direction;
the space balance scheme is used for sequentially establishing a plurality of space balance areas covering the control area in a radial manner based on the output following area and controlling the air conditioner to sequentially output the space balance areas when the temperature distribution data in the output following area is in the maintaining range value of the optimal temperature;
and the range stabilizing scheme is used for controlling the air conditioner to output to the output following area when the plurality of space balancing areas reach the stabilizing range of the optimal temperature, so that the output following area reaches the optimal temperature.
9. The method as claimed in claim 8, further comprising a plurality of predetermined optimal gears, each different optimal gear is provided with a corresponding optimal temperature, the optimal temperatures are sequentially and adjacently arranged, and the optimal gears are used for controlling the output of the air conditioner.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007198653A (en) * 2006-01-25 2007-08-09 Kansai Electric Power Co Inc:The Environment control device and its operation program
CN109489202A (en) * 2018-11-12 2019-03-19 珠海格力电器股份有限公司 Control method, device and the air-conditioning of air-conditioning
CN110925995A (en) * 2019-11-28 2020-03-27 新奥数能科技有限公司 Method and system for air conditioning adaptive control air conditioning
CN112762579A (en) * 2020-12-31 2021-05-07 青岛海尔空调电子有限公司 Control method of air conditioning system
CN112762580A (en) * 2020-12-31 2021-05-07 青岛海尔空调电子有限公司 Control method of air conditioning system
CN112856771A (en) * 2021-01-29 2021-05-28 青岛海尔空调器有限总公司 Control method and control device for air conditioner and air conditioner
CN113375305A (en) * 2021-06-01 2021-09-10 青岛海尔空调器有限总公司 Control method and device of air conditioner, electronic equipment and storage medium
CN113739386A (en) * 2021-09-29 2021-12-03 西安建筑科技大学 Control method, system, equipment and medium for public space thermal environment air conditioning system
CN114110963A (en) * 2021-11-11 2022-03-01 珠海格力电器股份有限公司 Air conditioner with intelligent adjusting function and control method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007198653A (en) * 2006-01-25 2007-08-09 Kansai Electric Power Co Inc:The Environment control device and its operation program
CN109489202A (en) * 2018-11-12 2019-03-19 珠海格力电器股份有限公司 Control method, device and the air-conditioning of air-conditioning
CN110925995A (en) * 2019-11-28 2020-03-27 新奥数能科技有限公司 Method and system for air conditioning adaptive control air conditioning
CN112762579A (en) * 2020-12-31 2021-05-07 青岛海尔空调电子有限公司 Control method of air conditioning system
CN112762580A (en) * 2020-12-31 2021-05-07 青岛海尔空调电子有限公司 Control method of air conditioning system
CN112856771A (en) * 2021-01-29 2021-05-28 青岛海尔空调器有限总公司 Control method and control device for air conditioner and air conditioner
CN113375305A (en) * 2021-06-01 2021-09-10 青岛海尔空调器有限总公司 Control method and device of air conditioner, electronic equipment and storage medium
CN113739386A (en) * 2021-09-29 2021-12-03 西安建筑科技大学 Control method, system, equipment and medium for public space thermal environment air conditioning system
CN114110963A (en) * 2021-11-11 2022-03-01 珠海格力电器股份有限公司 Air conditioner with intelligent adjusting function and control method

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