CN115574429B - Intelligent control method and system for energy-saving and synergistic air conditioner - Google Patents
Intelligent control method and system for energy-saving and synergistic air conditioner Download PDFInfo
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- CN115574429B CN115574429B CN202211184008.9A CN202211184008A CN115574429B CN 115574429 B CN115574429 B CN 115574429B CN 202211184008 A CN202211184008 A CN 202211184008A CN 115574429 B CN115574429 B CN 115574429B
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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
- F24F11/46—Improving electric energy efficiency or saving
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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
- F24F11/62—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
- F24F11/66—Sleep 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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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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- Air Conditioning Control Device (AREA)
Abstract
The invention relates to the field of intelligent home control and discloses an intelligent control method and system for an air conditioner, which are capable of saving energy and enhancing efficiency, regional output control based on user object information and environment distribution information is realized through the arrangement of an object monitoring module, an environment monitoring module, an intelligent control adjusting module and an intelligent control adapting module, more efficient and healthy refrigeration and heating are realized, the air conditioner can bring corresponding comfortable environment effects to users more quickly, the requirement of users on more extreme temperature output of the air conditioner is reduced, the consumption of energy sources is reduced, and the purpose of protecting the health of the users is also achieved.
Description
Technical Field
The invention relates to the field of intelligent home control, in particular to an energy-saving and efficiency-increasing air conditioner intelligent control method and system.
Background
An air conditioner is taken as household equipment for improving the life quality, and is an irreplaceable part in the life of people nowadays, the working mode of the air conditioner determines that different use demands of users can be met in different seasons, but in operation, the air conditioner often generates larger energy consumption due to high power, and different user habits can further improve the consumption level.
The intelligent air conditioner in the prior art performs intelligent refrigerating and heating output in a variable frequency control mode, so that an energy-saving effect based on environmental balance is realized in long-time operation, but the basic output principle is still traditional, so that certain hysteresis exists in the output, a user is prompted to control the air conditioner to output at a higher energy consumption level, the energy consumption is improved, and the health of the user is influenced for a long time.
Disclosure of Invention
The invention aims to provide an intelligent control method and system for an energy-saving and synergistic air conditioner, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an energy-saving and efficiency-increasing intelligent control system of an air conditioner, comprising:
the object monitoring module is used for monitoring a user object through a preset biosensing module to obtain biosensing information of the user object, wherein the biosensing 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 management and control area through a preset environment sensing module, acquiring environment distribution information of the management and control area, and establishing a twin space model of the management and 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 intelligent adjusting control module is used for judging an adjusting stage of the twin space model through a preset stage judging standard, and obtaining an output adjusting scheme, wherein the stage judging standard is established based on 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 refrigerating output of an air conditioner;
the adaptation intelligent control module is used for judging the adaptation stage of the twin space model through a preset adaptation judgment standard, acquiring an adaptation adjustment scheme, wherein the adaptation judgment standard is established based on the object physiological data and the environment distribution information, and the adaptation adjustment scheme is used for representing the intensity of the refrigerating output of the air conditioner.
As a further aspect of the invention: the method comprises the steps of presetting an 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 adjustment scheme comprises an area following scheme, a space balance scheme and a range stabilization scheme;
the area following scheme is used for acquiring the object position data when the temperature distribution data in the twin space model do not accord with the maintenance range value of the optimal temperature, establishing an output following area, and controlling the air conditioner output based on the output following area, wherein the output following area is the position of the twin space model corresponding to the object position data at the side edge 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 shape based on the output following area and controlling the air conditioner to sequentially output when the temperature distribution data in the output following area is in a maintenance range value of the optimal temperature;
and the range stabilizing scheme is used for controlling the air conditioner to output the output following region when the plurality of space balancing regions reach the stabilizing range of the optimal temperature, so that the output following region reaches the optimal temperature.
As still further aspects of the invention: the air conditioner further comprises a plurality of preset optimal gears, each different optimal gear is provided with a corresponding optimal temperature, the plurality of optimal temperatures are arranged adjacently in sequence, and the optimal gears are used for realizing output control of the air conditioner.
As still further aspects of the invention: each optimal gear further comprises an optimal sleep temperature, the optimal sleep temperature is used for representing the optimal environment temperature in a sleep state, and when the physiological data of the subject show that the user subject is in the sleep state, the optimal sleep temperature is used for replacing the optimal temperature.
As still further aspects of the invention: the number of the user objects can be multiple, when the number of the user objects is multiple, discrete judgment is performed according to object position data of the multiple user objects, so that one or more output following areas are built according to discrete judgment results, and if the number of the user objects in the multiple output following areas is different, an output sequence mark is built for the multiple output following areas according to the descending sequence of the number of the user objects in the output following areas.
As still further aspects of the invention: 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, away from other user objects, of the user object with the highest body surface temperature is taken as an output following area.
The embodiment of the invention aims to provide an intelligent control method for an energy-saving and synergistic 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 management and control area through a preset environment sensing module, acquiring environment distribution information of the management and control area, and establishing a twin space model of the management and 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 adjustment stage of the twin space model through a preset stage judgment standard, and acquiring an output adjustment scheme, wherein the stage judgment standard is established based on environment distribution information in the twin space model, and the output adjustment scheme is used for representing the execution sequence and execution mode of the refrigerating output of the air conditioner;
and judging the adaptation stage of the twin space model through a preset adaptation judgment standard, and acquiring an adaptation adjustment scheme, wherein the adaptation judgment standard is established based on the object physiological data and the environment distribution information, and the adaptation adjustment scheme is used for representing the intensity of the refrigerating output of the air conditioner.
As a further aspect of the invention: the method comprises the steps of presetting an 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 adjustment scheme comprises an area following scheme, a space balance scheme and a range stabilization scheme;
the area following scheme is used for acquiring the object position data when the temperature distribution data in the twin space model do not accord with the maintenance range value of the optimal temperature, establishing an output following area, and controlling the air conditioner output based on the output following area, wherein the output following area is the position of the twin space model corresponding to the object position data at the side edge 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 shape based on the output following area and controlling the air conditioner to sequentially output when the temperature distribution data in the output following area is in a maintenance range value of the optimal temperature;
and the range stabilizing scheme is used for controlling the air conditioner to output the output following region when the plurality of space balancing regions reach the stabilizing range of the optimal temperature, so that the output following region reaches the optimal temperature.
As still further aspects of the invention: the air conditioner further comprises a plurality of preset optimal gears, each different optimal gear is provided with a corresponding optimal temperature, the plurality of optimal temperatures are arranged adjacently in sequence, and the optimal gears are used for realizing output control of the air conditioner.
Compared with the prior art, the invention has the beneficial effects that: through the setting of relevant module, realized based on regional output control of user object information and environment distribution information, realized more high-efficient and healthy refrigeration and heating, make the air conditioner can be faster bring corresponding comfortable environmental effect for the user to reduce the demand of the user to the more extreme temperature output of air conditioner, reduce the consumption to the energy, also played the healthy purpose of protection user.
Drawings
Fig. 1 is a block diagram of an intelligent control system of an energy-saving and efficiency-increasing air conditioner.
Fig. 2 is a flow chart of an intelligent control method of an energy-saving and efficiency-increasing air conditioner.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, an 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 biosensing module, and obtain biosensing information of the user object, where the biosensing information includes object position data and object physiological data, and the object physiological data is used to characterize 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 management and control area through a preset environment sensing module, obtain environment distribution information of the management and control area, and establish a twin space model of the management and 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.
The adjusting intelligent control module 500 is configured to perform adjustment phase judgment on the twin space model according to a preset phase judgment standard, and obtain an output adjustment scheme, where the phase judgment standard is established based on environmental distribution information in the twin space model, and the output adjustment scheme is used to characterize an execution sequence and an execution mode of refrigeration output of an air conditioner.
The adaptation intelligent control module 700 is configured to perform an adaptation stage judgment on the twin space model according to a preset adaptation judgment standard, and obtain an adaptation adjustment scheme, where the adaptation judgment standard is established based on the object physiological data and the environmental distribution information, and the adaptation adjustment scheme is used for characterizing the intensity of the air conditioner refrigeration output.
In this embodiment, an intelligent control system for an air conditioner is provided, which aims to control the air conditioner based on a changed environment and a target, so as to realize more efficient utilization of the air conditioner and also to achieve the purpose of reducing energy consumption, specifically, when in use, the object monitoring module 100 and the environment monitoring module 300 are respectively used for collecting and monitoring data of personnel and the environment in a coverage space of the air conditioner, so that targeted tracking output based on movement of the personnel in the room can be realized (of course, cold air or hot air is not directly output in a position of the personnel when the air conditioner is output, but is output in a surrounding range) (in this way, the effect of generating the air conditioner more quickly after the air conditioner is started can be reduced, the possibility of a user further adjusting down or up the air conditioner can be reduced), wherein the effect of the intelligent control module 500 is to control the output mode of the air conditioner according to the environmental state in the space, for example, the personnel is output or is swept in the room, and the intelligent control module 700 is equivalent to the frequency conversion function in the prior art.
As another preferred embodiment of the present invention, the method 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 adjustment scheme comprises an area following scheme, a space balance scheme and a range stabilization scheme;
the region following scheme is used for acquiring the object position data when the temperature distribution data in the twin space model do not accord with the maintenance range value of the optimal temperature, establishing an output following region, and controlling the air conditioner output based on the output following region, wherein the output following region is the position of the twin space model corresponding to the object position data at the side edge 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 mode based on the output following area and controlling the air conditioner to sequentially output when the temperature distribution data in the output following area is in a maintenance range value of the optimal temperature.
And the range stabilizing scheme is used for controlling the air conditioner to output the output following region when the plurality of space balancing regions reach the stabilizing range of the optimal temperature, so that the output following region reaches the optimal temperature.
In this embodiment, the area following scheme proposed in the intelligent control module 500 is further described herein, and in specific use, it can be understood that when a user enters an indoor to start an air conditioner, the intelligent control system monitors the presence of the user, and thus the indoor space is relatively large, so that a certain time is required for the space temperature to reach a suitable optimum temperature, so that in order to enable the user to quickly be in a relatively comfortable environment, the area following scheme is adopted, the principle is that the output of the air conditioner follows the user to move, thereby creating a relatively comfortable environment (i.e. an output following area) around the user, and when the environment of the area basically reaches a comfort level, in order to enable the area to be maintained, the intelligent control system needs to gradually perform synchronous temperature control on the surrounding environment, at this time, through the space balancing scheme, and when the whole space is basically in a relatively comfortable environment, further temperature control is performed on the surrounding of the user through the range stabilizing scheme, so that the optimum temperature is reached, and an optimum environment (may also include humidity control) is created.
As another preferred embodiment of the present invention, the present invention further comprises a plurality of preset optimal gear positions, each different optimal gear position is provided with a corresponding optimal temperature, the plurality of optimal temperatures are sequentially and adjacently arranged, and the optimal gear positions are used for realizing output control of the air conditioner.
Further, each of the optimal gear positions further includes an optimal sleep temperature, the optimal sleep temperature is used for representing an optimal environment temperature in a sleep state, and when the subject physiological data shows that the user subject is in the sleep state, the optimal sleep temperature is used for replacing the optimal temperature.
In this embodiment, the optimal temperature is expanded, because the standard optimal temperature is established based on biological and medical big data, but a certain difference exists in specific time for each person, so that the optimal temperature is adjusted to each different user object by setting a plurality of electrodeless adjustable optimal temperatures or a certain range, the energy consumption can be reduced to a certain extent in a control mode of taking the optimal temperature as a gear, and the user does not know the temperature control, so that the body discomfort caused by the excessively low temperature is avoided.
As another preferred embodiment of the present invention, the number of the user objects may be plural, when the number of the user objects is plural, discrete judgment is performed according to object position data of the plural user objects, so that one or more output following areas are established according to discrete judgment results, and if the number of the user objects in the plural output following areas is different, an output order flag is established for the plural 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, 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, under the condition that the number of user objects is multiple, how to set and process the output following areas is performed, when the multiple user objects are gathered, only one wider output following area needs to be set, when the user objects are separated, multiple output following areas need to be set, and priority orders are established according to the personnel number values in different output following areas, and meanwhile when the user objects fall asleep, the sensitivity of different people to temperature is different, so that the output following areas are set in a deviated manner, for example, in summer, the output following areas are set on one side of a person with a heat-sensitive body, and appropriate reduction can be achieved when the cold air reaches one side of the person with a heat-sensitive body.
As shown in fig. 2, the invention also provides an intelligent control method of the air conditioner for saving energy and enhancing efficiency, which comprises the following steps:
s200, monitoring a user object through a preset biosensing module to obtain biosensing information of the user object, wherein the biosensing 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 management and control area through a preset environment sensing module, acquiring environment distribution information of the management and control area, and establishing a twin space model of the management and 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 adjustment stage of the twin space model through a preset stage judgment standard, and acquiring an output adjustment scheme, wherein the stage judgment standard is established based on environment distribution information in the twin space model, and the output adjustment scheme is used for representing the execution sequence and the execution mode of the refrigerating output of the air conditioner.
S800, judging the adaptation stage of the twin space model through a preset adaptation judgment standard, and acquiring an adaptation adjustment scheme, wherein the adaptation judgment standard is established based on the object physiological data and the environment distribution information, and the adaptation adjustment scheme is used for representing the intensity of the refrigerating output of the air conditioner.
As another preferred embodiment of the present invention, the method 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 adjustment scheme comprises an area following scheme, a space balance scheme and a range stabilization scheme;
the region following scheme is used for acquiring the object position data when the temperature distribution data in the twin space model do not accord with the maintenance range value of the optimal temperature, establishing an output following region, and controlling the air conditioner output based on the output following region, wherein the output following region is the position of the twin space model corresponding to the object position data at the side edge 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 mode based on the output following area and controlling the air conditioner to sequentially output when the temperature distribution data in the output following area is in a maintenance range value of the optimal temperature.
And the range stabilizing scheme is used for controlling the air conditioner to output the output following region when the plurality of space balancing regions reach the stabilizing range of the optimal temperature, so that the output following region reaches the optimal temperature.
As another preferred embodiment of the present invention, the present invention further comprises a plurality of preset optimal gear positions, each different optimal gear position is provided with a corresponding optimal temperature, the plurality of optimal temperatures are sequentially and adjacently arranged, and the optimal gear positions are used for realizing output control of the air conditioner.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, 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 within 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 is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (4)
1. An energy-saving and efficiency-increasing intelligent control system of an air conditioner is characterized by comprising:
the object monitoring module is used for monitoring a user object through a preset biosensing module to obtain biosensing information of the user object, wherein the biosensing information comprises object position data and object physiological data, and the object physiological data is used for representing the temperature distribution condition of the user object and the current physiological state of the user;
the environment monitoring module is used for monitoring a management and control area through a preset environment sensing module, acquiring environment distribution information of the management and control area, and establishing a twin space model of the management and 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 intelligent adjusting control module is used for judging an adjusting stage of the twin space model through a preset stage judging standard, and obtaining an output adjusting scheme, wherein the stage judging standard is established based on 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 refrigerating output of an air conditioner;
the adaptation intelligent control module is used for judging the adaptation stage of the twin space model through a preset adaptation judgment standard, acquiring an adaptation adjustment scheme, wherein the adaptation judgment standard is established based on the physiological data of the object and the environment distribution information, and the adaptation adjustment scheme is used for representing the intensity of the refrigerating output of the air conditioner;
the method comprises the steps of presetting an 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 adjustment scheme comprises an area following scheme, a space balance scheme and a range stabilization scheme;
the area following scheme is used for acquiring the object position data when the temperature distribution data in the twin space model do not accord with the maintenance range value of the optimal temperature, establishing an output following area, and controlling the air conditioner output based on the output following area, wherein the output following area is the position of the twin space model corresponding to the object position data at the side edge 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 shape based on the output following area and controlling the air conditioner to sequentially output when the temperature distribution data in the output following area is in a maintenance range value of the optimal temperature;
the range stabilizing scheme is used for controlling the air conditioner to output 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;
the air conditioner further comprises a plurality of preset optimal gears, wherein 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 realizing output control of the air conditioner;
each optimal gear further comprises an optimal sleep temperature, the optimal sleep temperature is used for representing the optimal environment temperature in a sleep state, and when the physiological data of the subject show that the user subject is in the sleep state, the optimal sleep temperature is used for replacing the optimal temperature.
2. The intelligent control system for the energy-saving and efficiency-increasing air conditioner according to claim 1, wherein the number of the user objects is plural, when the number of the user objects is plural, discrete judgment is performed according to object position data of the plurality of the user objects, so that one or more output following areas are established according to discrete judgment results, and if the number of the user objects in the plurality of the output following areas is different, an output sequence mark is established for the plurality of the output following areas according to descending order of the number of the user objects in the output following areas.
3. The intelligent control system for the energy-saving and efficiency-increasing air conditioner according to claim 2, wherein when the object physiological data of a 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 the side, away from other user objects, of the user object with the highest body surface temperature is taken as an output following area.
4. An intelligent control method of an energy-saving and synergistic 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 user object and the current physiological state of the user;
monitoring a management and control area through a preset environment sensing module, acquiring environment distribution information of the management and control area, and establishing a twin space model of the management and 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 adjustment stage of the twin space model through a preset stage judgment standard, and acquiring an output adjustment scheme, wherein the stage judgment standard is established based on environment distribution information in the twin space model, and the output adjustment scheme is used for representing the execution sequence and execution mode of the refrigerating output of the air conditioner;
judging the twin space model in an adaptation stage through a preset adaptation judgment standard, and acquiring an adaptation adjustment scheme, wherein the adaptation judgment standard is established based on the object physiological data and the environment distribution information, and the adaptation adjustment scheme is used for representing the intensity of the refrigerating output of the air conditioner;
the method comprises the steps of presetting an 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 adjustment scheme comprises an area following scheme, a space balance scheme and a range stabilization scheme;
the area following scheme is used for acquiring the object position data when the temperature distribution data in the twin space model do not accord with the maintenance range value of the optimal temperature, establishing an output following area, and controlling the air conditioner output based on the output following area, wherein the output following area is the position of the twin space model corresponding to the object position data at the side edge 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 shape based on the output following area and controlling the air conditioner to sequentially output when the temperature distribution data in the output following area is in a maintenance range value of the optimal temperature;
the range stabilizing scheme is used for controlling the air conditioner to output 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;
the air conditioner further comprises a plurality of preset optimal gears, wherein 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 realizing output control of the air conditioner;
each optimal gear further comprises an optimal sleep temperature, the optimal sleep temperature is used for representing the optimal environment temperature in a sleep state, and when the physiological data of the subject show that the user subject is in the sleep state, the optimal sleep temperature is used for replacing the optimal temperature.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211184008.9A CN115574429B (en) | 2022-09-27 | 2022-09-27 | Intelligent control method and system for energy-saving and synergistic air conditioner |
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| CN202211184008.9A CN115574429B (en) | 2022-09-27 | 2022-09-27 | Intelligent control method and system for energy-saving and synergistic air conditioner |
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| CN115574429A CN115574429A (en) | 2023-01-06 |
| CN115574429B true CN115574429B (en) | 2023-05-12 |
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| 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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| 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 |
| CN112762580B (en) * | 2020-12-31 | 2023-05-26 | 青岛海尔空调电子有限公司 | Control method of air conditioning system |
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| 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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