CN111397131B - Air conditioning equipment, control method and device thereof and electronic equipment - Google Patents

Air conditioning equipment, control method and device thereof and electronic equipment Download PDF

Info

Publication number
CN111397131B
CN111397131B CN202010239694.XA CN202010239694A CN111397131B CN 111397131 B CN111397131 B CN 111397131B CN 202010239694 A CN202010239694 A CN 202010239694A CN 111397131 B CN111397131 B CN 111397131B
Authority
CN
China
Prior art keywords
air conditioning
user
recommended value
value
acquiring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010239694.XA
Other languages
Chinese (zh)
Other versions
CN111397131A (en
Inventor
樊其锋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Midea Group Co Ltd
GD Midea Air Conditioning Equipment Co Ltd
Original Assignee
Midea Group Co Ltd
GD Midea Air Conditioning Equipment Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Midea Group Co Ltd, GD Midea Air Conditioning Equipment Co Ltd filed Critical Midea Group Co Ltd
Priority to CN202010239694.XA priority Critical patent/CN111397131B/en
Publication of CN111397131A publication Critical patent/CN111397131A/en
Application granted granted Critical
Publication of CN111397131B publication Critical patent/CN111397131B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • F24F11/64—Electronic processing using pre-stored data
    • 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
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • 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 application provides a control method and device of air conditioning equipment, the air conditioning equipment, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: responding to a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment to enter the multi-dimensional adjusting mode; acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters; acquiring at least one adjusting instruction input by a user within preset time and input state information, and correcting a recommended value according to the adjusting instruction and the state information to acquire a target recommended value at the current moment; according to the target recommended value and the monitoring value of at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters, the adjusting component corresponding to the at least one-dimensional monitoring parameter is adjusted, so that the target recommended value of the air conditioning equipment can meet the use habit and the requirement of a user more quickly, the air conditioning equipment is more humanized, and the comfort level of the user is improved.

Description

Air conditioning equipment, control method and device thereof and electronic equipment
Technical Field
The present application relates to the field of air conditioning technologies, and in particular, to a method and an apparatus for controlling an air conditioning device, an electronic device, and a computer-readable storage medium.
Background
At present, air conditioning equipment is widely applied to adjusting parameters such as indoor temperature and humidity, and the comfort level of a user is improved. However, the existing air conditioning equipment has a single air conditioning function, is not flexible enough, cannot meet the requirements of users, and simultaneously, has the problem that the self-learning model requires a long training time and cannot adapt to environmental changes in a short time.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present application is to provide a control method for an air conditioning device, which can make a target recommendation value of the air conditioning device meet usage habits and requirements of a user faster, and is more humanized, and improves comfort of the user.
A second object of the present application is to propose a control device of an air conditioning apparatus.
A third object of the present application is to propose an air conditioning apparatus.
A fourth object of the present application is to provide an electronic device.
A fifth object of the present application is to propose a computer-readable storage medium.
To achieve the above object, an embodiment of a first aspect of the present invention provides a control method for an air conditioning apparatus, including: responding to a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment to enter the multi-dimensional adjusting mode; acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters; acquiring at least one adjusting instruction input by a user within preset time and input state information, and correcting a recommended value according to the adjusting instruction and the state information to acquire a target recommended value at the current moment; and adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
According to an embodiment of the present invention, the obtaining a recommended value of each monitoring parameter in the multidimensional monitoring parameters further includes: acquiring identity information of a user, and identifying the type of the user according to the identity information; and acquiring a recommended value of each dimension of the multi-dimension monitoring parameters according to the type.
According to an embodiment of the present invention, the obtaining a recommended value of each monitoring parameter in the multidimensional monitoring parameters according to the type includes: and according to the type, determining a target model for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data.
According to an embodiment of the present invention, the determining, according to the type, a target model used for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data, includes: identifying the user as a first type of user; acquiring a first learning model corresponding to the first class of users as the target model; acquiring historical use data of the air conditioning equipment used by the user, current environment data of the environment and current time information as the first data; and inputting the first data into the first learning model to obtain the recommended value.
According to an embodiment of the present invention, the determining, according to the type, a target model used for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data, includes: identifying the user as a second class of user; acquiring a second learning model corresponding to the second class of users as the target model; acquiring current environment data and/or current time information of the environment where the user is located as the first data; inputting the first data to the second learning module to obtain the group attribute of the user; and acquiring group users according to the group attributes, and acquiring the recommendation values corresponding to the group users as the recommendation values of the users.
According to an embodiment of the present invention, the acquiring at least one adjustment instruction input by a user within a preset time and input state information, and modifying a recommended value according to the adjustment instruction and the state information to acquire a target recommended value at a current time includes: obtaining a correction value of at least one attribute according to the adjusting instruction and the state information; weighting the correction value according to the weight of the corresponding attribute of the correction value to obtain a target correction value; and correcting the recommended value of the corresponding dimensionality by using the target corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
According to an embodiment of the invention, the property comprises at least one of a time property, an ambient state property and an air conditioning equipment operational state property.
According to an embodiment of the present invention, the obtaining a correction value of at least one attribute according to the adjustment instruction and the status information includes: dividing the preset time into a plurality of preset time periods; acquiring input time of each adjusting instruction input by a user, and determining the preset time period of each input time; acquiring a weight value corresponding to each preset time period, and extracting an adjustment quantity in each adjustment instruction; and weighting the regulating quantity according to the weight value to obtain the correction value based on the time attribute.
According to an embodiment of the present invention, the obtaining a correction value of at least one attribute according to the adjustment instruction and the status information includes: acquiring a mapping relation between the adjusting instruction and the environmental state information by using a gradient descent algorithm; and acquiring the correction value based on the environmental state attribute according to the current environmental state information and the mapping relation.
According to an embodiment of the present invention, the obtaining a correction value of at least one attribute according to the adjustment instruction and the status information includes: acquiring a mapping relation between the adjusting instruction and the running state information by using a gradient descent algorithm; and acquiring the correction value based on the running state attribute according to the current running state information and the mapping relation.
According to one embodiment of the invention, the multidimensional monitoring parameters comprise: two or more of humidity, temperature, wind speed, pollutant content in air and air quality index.
According to one embodiment of the invention, the conditioning assembly is integrated with or independent of the air conditioning device.
According to the control method of the air conditioning equipment, the recommended value at the current moment can be corrected according to the adjusting instruction of the user and the state information when the adjusting instruction is input, the adjusting component can be adjusted according to the target recommended value, the problems that the self-learning model requires long training time and cannot adapt to environmental change in a short time are effectively solved, the target recommended value of the air conditioning equipment can be enabled to meet the use habit and the requirement of the user more quickly, the control method is more humanized, and the comfort level of the user is improved.
In order to achieve the above object, a second aspect of the present invention provides a control device for an air conditioning apparatus, including: the system comprises a mode starting module, a control module and a control module, wherein the mode starting module is used for responding a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment so as to enter the multi-dimensional adjusting mode; the acquisition module is used for acquiring a recommended value of each dimension of monitoring parameters in the multidimensional monitoring parameters; the correction module is used for acquiring at least one adjusting instruction input by a user within preset time and state information when the adjusting instruction is input, and correcting the recommended value according to the adjusting instruction and the state information to acquire a target recommended value at the current moment; and the adjusting module is used for adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
In order to achieve the above object, a third aspect of the present invention provides an air conditioning apparatus including the control device of the air conditioning apparatus.
In order to achieve the above object, a fourth aspect of the present invention provides an electronic device, including a memory, a processor; wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for implementing the control method of the air conditioning apparatus.
In order to achieve the above object, a fifth aspect of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the control method of an air conditioning apparatus.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application;
fig. 2 is a flowchart of a control method of an air conditioning apparatus according to another embodiment of the present application;
fig. 3 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 4 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 5 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 6 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
FIG. 7 is a flow chart of a control method of an air conditioning unit according to a particular embodiment of the present application;
FIG. 8 is a block schematic diagram of a control device of an air conditioning unit according to an embodiment of the present application;
FIG. 9 is a block schematic diagram of an air conditioning unit according to an embodiment of the present application;
FIG. 10 is a block diagram of an electronic device according to one embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A control method and apparatus of an air conditioning device, an electronic device, and a computer-readable storage medium according to embodiments of the present application are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application.
As shown in fig. 1, a control method of an air conditioning apparatus according to an embodiment of the present application includes the steps of:
s101: the method includes responding to a first instruction for starting a multi-dimensional adjustment mode of the air conditioning device to enter the multi-dimensional adjustment mode.
It should be noted that in the embodiments of the present application, the air conditioning apparatus has a multidimensional adjustment mode, and two or more monitored parameters can be adjusted.
The monitoring parameters can be calibrated according to actual conditions and are preset in a storage space of the air conditioning equipment. For example, the monitored parameters may include two or more of humidity, temperature, weather, pollutant content in Air, Air Quality Index (AQI), carbon dioxide concentration, and the like. Wherein the pollutant content in the air may include a concentration of PM 2.5.
Optionally, the user may send a first instruction for opening the multidimensional adjustment mode to the air conditioning device through a remote controller, an air conditioning device APP in the mobile terminal, an operation panel on a body of the air conditioning device, and the like in a non-contact manner such as voice, gesture, and the like.
In an embodiment of the application, the first instruction may include a start instruction, so that after the user sends the start instruction to the air conditioning equipment, the air conditioning equipment may enter the multidimensional adjustment mode after starting up, thereby avoiding the need for the user to send the instruction for starting the multidimensional adjustment mode again after the air conditioning equipment is started up in the prior art, which is simpler and more convenient.
S102: and acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters.
In one embodiment of the application, the recommended value of each monitoring parameter in the multi-dimensional monitoring parameters can be obtained according to historical use data of the air conditioning equipment used by a user, current environment data of the environment where the air conditioning equipment is located and current time information.
The method can comprehensively consider the influence of the historical use data of the air conditioning equipment used by the user, the current environment data of the environment and the current time information on the recommended value of the monitoring parameter, so that the recommended value of the monitoring parameter is more in line with the use habit and the requirement of the user, is more humanized and improves the comfort level of the user.
The historical use data of the air conditioning equipment used by the user can comprise temperature information, humidity information, windshield information, a wind sweeping mode, an envelope mode, an operation mode, accumulated use times, accumulated use duration and other data which are actively set by the user. It should be understood that the user may enter usage data by modifying the default recommended values for the air conditioning unit.
The current environment data of the environment may include provinces, cities, climate areas, indoor temperature, outdoor temperature, indoor humidity, outdoor humidity, PM2.5 concentration, carbon dioxide concentration, air quality index and other data of the user.
The current time information may include data such as month, solar terms, specific time period (morning, afternoon, evening), whether the current time is on weekday, and the like.
It should be noted that the usage data of each time the user uses the air conditioning apparatus may be stored in the storage space of the air conditioning apparatus to obtain the recommended value of the monitoring parameter.
Optionally, the current environment data of the environment where the user is located may be obtained through query of the wireless network device, for example, province, city, outdoor temperature, and outdoor humidity where the user is located may be obtained through query of the wireless network device. The current environment data of the environment where the user is located can also be obtained through a detection device, for example, a temperature sensor can be installed on an indoor unit of the air conditioning equipment to obtain the indoor temperature of the environment where the user is located.
Alternatively, the current time information may be acquired by inquiring the system time of the air conditioning apparatus.
Further, a mapping relation or a mapping table between historical usage data of the air conditioning equipment used by the user, current environment data and current time information of the environment where the user is located and recommended values of the monitoring parameters in each dimension can be pre-established, and after the historical usage data of the air conditioning equipment used by the user, the current environment data and the current time information of the environment where the user is located are obtained, the mapping relation or the mapping table is inquired, so that recommended values required by each monitoring parameter of the air conditioning equipment at the moment can be determined. The mapping relation or the mapping table can be preset in the storage space of the air conditioning equipment.
As another possible implementation, a self-learning model may be established in advance, and the self-learning model may be adjusted based on the sample data. It should be noted that the sample data may include historical usage data of the experimental user using the air conditioning apparatus, current environmental data of the experimental environment in which the user is located, and current time information. Alternatively, the self-learning model may be preset in the storage space of the air conditioning device.
Further, the air conditioning equipment has a self-learning mode, and the data can be self-learned to obtain the recommended value of each monitoring parameter in the multi-dimensional monitoring parameters. The data may include, among other things, historical usage data of the air conditioning device by the user, current environmental data of the environment in which the user is located, and current time information.
In an embodiment of the application, after the air conditioning equipment enters the multi-dimensional regulation mode, a second instruction for instructing the air conditioning equipment to perform self-learning may be further generated, so that the air conditioning equipment responds to the second instruction to enter the self-learning mode and perform self-learning on data to obtain a recommended value of each monitoring parameter in the multi-dimensional monitoring parameters.
Optionally, a value may be recommended for the monitoring parameter, and a value range may also be recommended for the monitoring parameter.
For example, when the multidimensional monitoring parameters include humidity, temperature, customs, pollutant content in air, air quality index and carbon dioxide concentration, a numerical value can be recommended for the temperature and the wind speed respectively, and a value range can be recommended for the humidity, the pollutant content in air, the air quality index and the carbon dioxide concentration respectively.
Specifically, when the monitored parameter is humidity, the corresponding recommended value may be 25 ℃. When the monitoring parameter is wind speed, the corresponding recommended value may be 2 m/s. When the monitoring parameter is humidity, the value range of the corresponding recommended value can be (40-70)) % of the total weight of the composition. Taking the pollutant content in the air including PM2.5 concentration as an example, when the monitoring parameter is PM2.5 concentration, the value range of the corresponding recommended value can be (0-75) mu g/m3. When the monitoring parameter is the air quality index, the value range of the corresponding recommended value can be (0-75) mu g/m3. When the monitoring parameter is the carbon dioxide concentration, the value range of the corresponding recommended value can be (0-1000) PPM.
As can be seen, in the embodiment of the present application, the recommendation value is generally a constant recommendation value obtained based on a large amount of historical usage data of the user, that is, a constant recommendation value suitable for the user in a normal state.
S103: and acquiring at least one adjusting instruction input by a user within preset time and state information of the input adjusting instruction, and correcting the recommended value according to the adjusting instruction and the state information to acquire a target recommended value at the current moment.
Wherein the status information includes environmental status information and/or air conditioning equipment operating status information.
When the status information is environmental status information, the environmental status information may include, but is not limited to, information used to express air status in the environment, such as weather, indoor temperature, outdoor temperature, indoor humidity, outdoor humidity, indoor PM2.3 content, outdoor PM2.5 content, AQI, CO2 content, and the like.
It should be noted that, when the environmental state changes, a user is usually used to modify the recommended value of the air conditioning equipment, for example, when the temperature is sharply decreased due to cold flow, people usually adjust the target temperature of the air conditioning equipment to be higher so as to keep the indoor temperature at a higher suitable temperature, and the humidity of the whole environment is decreased in a continuous sunny day, at this time, people usually adjust the target humidity of the air conditioning equipment to be higher so as to keep the indoor humidity at a more humid suitable state.
That is, even though the recommended value of the air conditioning device meets the daily use requirement of the user, the user still needs to adjust the recommended value so that the indoor air condition meets the comfort requirement of the user when the environmental condition changes.
It should be understood that some users' adjustments to the air conditioning equipment may also be related to environmental conditions such as season, for example, spring is a high incidence period of part of allergic rhinitis, users have a high demand for air purification, etc.
When the state information is the operation state information of the air conditioning equipment, the operation state information may include, but is not limited to, information of the operation state of the air conditioning equipment, such as a start-up set temperature, a start-up set wind speed, a current start-up duration, a current set temperature, and a current set wind speed.
It should be noted that, with the effect of the air conditioning equipment on the ambient air, the air conditioning equipment may be periodically started or stopped to reduce the energy consumption of the air conditioning equipment, for example, when the indoor temperature reaches a preset temperature during temperature adjustment, the adjusting assembly may be controlled to reduce the wind speed or stop temperature adjustment. However, the user may prefer continuous air supply to enjoy a feeling of bath wind or the like, and thus, the air conditioning apparatus may be manually controlled to continue to operate in a standby state or the like of the air conditioning apparatus, for example, by adjusting the recommended value so that the air conditioning apparatus continues to operate or the like.
That is, even though the recommended value of the air conditioning device meets the daily use requirement of the user, the user still needs to adjust the recommended value so that the indoor air condition meets the comfort requirement of the user when the operation state changes.
It will be appreciated that some users' adjustments to the air conditioning apparatus may also be associated with environmental conditions such as the season, for example, maintaining the supply air condition even though the temperature has reached a comfortable temperature in summer may make the user feel better, etc.
Further, normally, the air conditioning equipment can obtain a recommended value suitable for the current time of the user and meeting the environmental condition through a self-learning model or the like according to the historical data of the long-term use of the user, but if the recommended value is modified by the user through an adjustment instruction in the near future, it indicates that other influences are caused to the sudden change of the recommended value based on the historical use data by the user, for example, the change of the user due to house lease or the like, the change of the physiological condition of the user due to operation, pregnancy or the like, and the sudden change of the environmental condition due to cold flow or season change in the foregoing examples.
That is, the manual input of the adjustment command by the user may be relatively abrupt, or may be changed by the user or by the environment, and if the recommended value obtained through the historical data is continuously used, the requirement of the user may be far from the requirement of the current user, if a large enough amount of usage data is accumulated to change the recommended value obtained by the self-learning model, a lot of time may be consumed, and even if the user does not complete the change of the recommended value again, or the environment change disappears, and the like, during this period, the user needs to actively adjust each time the air conditioning device is used, which affects the experience of the user.
That is, the correction of the recommended value may be made for at least one of the time attribute, the environmental state attribute, and the operation state attribute of the air conditioning equipment.
Specifically, as shown in fig. 2, the method may include:
s201: and acquiring a correction value of at least one attribute according to the adjusting instruction and the state information.
S202: and weighting the correction value according to the weight of the corresponding attribute of the correction value to obtain the target correction value.
It should be understood that, before the weighted calculation of the correction value, the weight values of the respective attributes may be acquired to perform the weighted calculation of the correction value according to the weight values.
The weight value may be a preset weight value when the air conditioning equipment leaves a factory, or a weight value adjusted by a user according to a self demand, for example, when the user is a new user due to house leasing and the like, the user may increase the weight value of the time attribute, so that the air conditioning equipment can generate a target recommendation value meeting the preference of the new user as soon as possible.
S203: and correcting the recommended value of the corresponding dimension by using the target correction value, and taking the corrected recommended value as the target recommended value at the current moment.
That is, when the recommended value does not meet the preference of the user, a correction value may be generated by an adjustment instruction input by the user and state information when the adjustment instruction is input, so that the recommended value is corrected by the correction value, that is, the target recommended value is acquired by correcting the recommended value.
S104: and adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
It should be noted that each dimension of monitoring parameters may correspond to one or more adjusting components, the adjusting components may be independently controlled, or may be controlled in a linkage manner, so as to adjust the monitoring parameters corresponding to the adjusting components, and the adjusting components corresponding to each dimension of monitoring parameters are adjusted independently.
Therefore, the control method of the air conditioning equipment can correct the recommended value at the current moment according to the adjusting instruction of the user and the first environment state information when the user inputs the adjusting instruction and adjust the adjusting component according to the target recommended value, effectively solves the problems that the self-learning model requires long training time and cannot adapt to environment change in a short time, can enable the target recommended value of the air conditioning equipment to meet the use habit and the requirement of the user more quickly, is more humanized and improves the comfort level of the user.
Alternatively, the conditioning assembly is integrated with or independent of the air conditioning apparatus, which method can improve the applicability and flexibility of the conditioning assembly, so that the present application can be more widely applied to the air conditioning apparatus.
For example, when the temperature, the air quality index and the pollutant content in the air are regulated, the operation of recovering the indoor air, that is, the indoor return air during the temperature regulation, the air quality index and the pollutant content in the air are recovered and filtered, and the like, therefore, the return air inlets for the temperature regulation, the air quality index regulation and the pollutant regulation in the air can be integrally arranged, that is, only one return air inlet is arranged, or a plurality of return air inlets can be arranged according to the actual situation, for example, because the pollutant quality in the air is larger and the sinking phenomenon can be generated, the return air inlet for controlling the pollutant regulation in the middle can be arranged at the lower part of the air conditioning equipment, so that the pollutant content in the recovered air is higher, the pollutant content regulation efficiency in the air is improved, and the return air inlet for regulating the temperature is arranged at the upper part of the air conditioning equipment, so that the amount of the pollutants contained in the recovered air is lower, and the secondary pollution of the air caused by temperature regulation air supply is reduced. For another example, since the humidity adjustment includes blowing atomized water into the room, in order to prevent the atomized water from causing condensation and the like inside the air conditioning equipment and affecting the adjustment of other monitoring parameters, the air blowing port for humidity adjustment may be independently provided.
It should be noted that, after the air conditioning equipment enters the multidimensional adjustment mode, each dimension of the monitored parameter can be monitored to obtain the monitored value of each dimension of the monitored parameter.
For example, when the monitored parameter includes temperature, a monitored value of the temperature may be obtained by installing a temperature sensor on an indoor unit of the air conditioning apparatus. When the monitoring parameter comprises the wind speed, the monitoring value of the wind speed can be obtained by installing a wind speed sensor at the air outlet of the indoor unit of the air conditioning equipment.
It should be noted that the monitoring parameters and the corresponding adjusting components thereof may be calibrated according to actual conditions and preset in the storage space of the air conditioning equipment. For example, where the monitored parameter is wind speed, the corresponding adjustment component may comprise a fan. When the monitoring parameter is temperature, the corresponding adjusting component can comprise a compressor and a fan.
Optionally, a mapping relation or a mapping table between the monitoring parameter and the adjusting component may be pre-established, after the monitoring parameter is obtained, the mapping relation or the mapping table is queried, the adjusting component corresponding to the monitoring parameter can be determined, and then the adjusting component is adjusted.
Further, adjusting the adjusting component corresponding to any one-dimensional monitoring parameter according to the target recommended value and the monitoring value of any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters may include determining at least one adjusting component corresponding to any one-dimensional monitoring parameter, then generating an adjusting instruction for the adjusting component according to the target recommended value and the monitoring value of any one-dimensional monitoring parameter, and adjusting the adjusting component according to the adjusting instruction.
For example, when the monitoring parameter is the wind speed, a control instruction for the fan may be generated according to the target recommended value and the monitoring value of the wind speed, and the fan may be controlled according to the control instruction.
It will be appreciated that the higher the fan speed, the greater the wind speed.
Further, if the monitored value of the wind speed is greater than the recommended value of the wind speed, which indicates that the wind speed is too high and needs to be reduced, a control instruction for reducing the rotating speed of the fan can be generated, and the rotating speed of the fan can be reduced according to the control instruction so as to reduce the wind speed. If the monitored value of the wind speed is smaller than the recommended value of the wind speed, the wind speed is required to be increased if the wind speed is too small, a control instruction for increasing the rotating speed of the fan can be generated, and the rotating speed of the fan is increased according to the control instruction so as to increase the wind speed. If the monitored value of the wind speed is equal to the target recommended value of the wind speed, a control instruction for the fan can not be generated, so that the fan continues to operate according to the current rotating speed.
The method can adjust the wind speed by adjusting the rotating speed of the fan, so that the monitored value of the wind speed approaches to the target recommended value of the wind speed, and the comfort level of a user is improved.
Or when the monitoring parameter is temperature, the corresponding adjusting component may include a compressor and a fan, and may generate control instructions for the compressor and the fan respectively according to the target recommended value and the monitoring value of the temperature, and control the compressor and the fan according to the control instructions.
It can be understood that, taking the air conditioning equipment operating in the heating mode as an example, the higher the operating frequency of the compressor and the rotational speed of the fan, the higher the heating load of the air conditioning equipment is, and the higher the temperature is.
Further, taking the air conditioning equipment operating in the heating mode as an example, if the monitored value of the temperature is greater than the target recommended value of the temperature, which indicates that the temperature is too high at this time and needs to be reduced, control instructions for reducing the operating frequency of the compressor and the rotating speed of the fan can be respectively generated, and the operating frequency of the compressor and the rotating speed of the fan are reduced according to the control instructions to reduce the temperature. If the monitored value of the temperature is smaller than the target recommended value of the temperature, the temperature is too low at the moment, the temperature needs to be increased, control instructions for increasing the running frequency of the compressor and increasing the rotating speed of the fan can be respectively generated, and the running frequency of the compressor and the rotating speed of the fan are increased according to the control instructions so as to increase the temperature. If the target monitoring value of the temperature is equal to the recommended value of the temperature, a control instruction for the compressor and the fan can not be generated, so that the compressor continues to operate according to the current operating frequency, and the fan continues to operate according to the current rotating speed.
The method can adjust the temperature by adjusting the operating frequency of the compressor and the rotating speed of the fan, so that the temperature monitoring value approaches to the target recommended value of the temperature, and the comfort level of a user is improved.
In summary, according to the control method of the air conditioning equipment in the embodiment of the application, a plurality of monitoring parameters can be adjusted at the same time, and the adjusting processes of the monitoring parameters are independent from each other, so that the flexibility of the air conditioning equipment is improved. Furthermore, the adjusting component corresponding to the monitoring parameter can be adjusted according to the recommended value and the monitoring value of the monitoring parameter, so that the monitoring parameter can be adjusted.
According to an embodiment of the present invention, before responding to the first instruction for turning on the multi-dimensional adjustment mode of the air conditioning apparatus, the method further includes: obtaining a selection instruction for selecting at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters, and generating a first instruction according to the selection instruction.
Specifically, before responding to the first instruction for starting the multidimensional adjustment mode of the air conditioning equipment, the method further comprises the step of obtaining a selection instruction for selecting at least two-dimensional monitoring parameters from the multidimensional monitoring parameters, which indicates that a user wishes to adjust the at least two-dimensional monitoring parameters, and the air conditioning equipment needs to start the multidimensional adjustment mode.
The method enables a user to select at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters according to personal wishes, and the monitoring parameters are used as the monitoring parameters to be adjusted by the air conditioning equipment, so that the method has high flexibility.
For example, when the multidimensional monitoring parameters include humidity, temperature, and wind speed, if a selection instruction for selecting humidity and temperature is obtained, which indicates that a user has a desire to adjust humidity and temperature, the multidimensional adjustment mode needs to be started by the air conditioning equipment, at this time, a first instruction for starting the multidimensional adjustment mode of the air conditioning equipment may be generated according to the selection instruction, so that the air conditioning equipment enters the multidimensional adjustment mode according to the first instruction to adjust humidity and temperature.
Optionally, the user may select the monitoring parameter from the multidimensional monitoring parameters through non-contact modes such as language, gesture and the like through an operation panel on the body of the air conditioning equipment APP in the remote controller and the mobile terminal, and generate the selection instruction.
Taking the case that a user generates a selection instruction through an operation panel on the body of the air conditioning equipment, a selection menu for the user to select monitoring parameters can be preset on the operation panel, the menu selection operation of the user on a selection interface is monitored, after the menu selection operation is monitored, the selection menu is displayed, the operation position of the user on the selection menu is obtained, then the monitoring parameters selected by the user are identified according to the operation position, and when the number of the monitoring parameters selected by the user is identified to be greater than or equal to two, a first instruction for starting a multi-dimensional adjustment mode of the air conditioning equipment can be generated, so that the air conditioning equipment responds to the first instruction to enter the multi-dimensional adjustment mode.
In an embodiment of the present application, after the air conditioning equipment enters the multidimensional adjustment mode, the selected monitoring parameters may be identified according to a selection instruction for selecting at least two-dimensional monitoring parameters from the multidimensional monitoring parameters, and then a recommended value of each-dimensional monitoring parameter in the selected multidimensional monitoring parameters is obtained.
That is to say, the selection instruction for the monitoring parameter may occur before the first instruction for starting the multidimensional adjustment mode of the air conditioning equipment is responded, or may occur after the first instruction for starting the multidimensional adjustment mode of the air conditioning equipment is responded, that is, the user may select the monitoring parameter first, then generate the first instruction according to the selected monitoring parameter to start the multidimensional adjustment mode according to the first instruction to adjust the monitoring parameter selected by the user, or start the multidimensional adjustment mode according to the first instruction, then wait for the user to select the monitoring parameter to be adjusted, and adjust the monitoring parameter according to the recommended value after the user determines the monitoring parameter to be adjusted.
According to the method, only the adjusting component corresponding to the selected monitoring parameter needs to be adjusted, so that the actual requirements of the user can be better responded only by adjusting the selected monitoring parameter, the monitoring parameter of each dimension does not need to be adjusted, and energy consumption can be saved.
Furthermore, in the process of adjusting the adjusting component, an active adjusting instruction of a user for one-dimensional monitoring parameters in the multidimensional monitoring parameters is detected, which indicates that the user has a desire to actively adjust the monitoring parameters, and at this time, the air conditioning equipment is not required to adjust the monitoring parameters, and the adjusting function of the adjusting component corresponding to the monitoring parameters can be controlled to be in a locked state according to the active adjusting instruction.
That is, the user may select the monitoring parameter by selecting a mode of retaining the monitoring parameter, or by selecting a mode of locking a part of the monitoring parameter.
For example, when the multidimensional monitoring parameters include humidity, temperature, and wind speed, if a selection instruction for selecting humidity and temperature is obtained, the user may directly select humidity and temperature as the monitoring parameters to be adjusted, or may select to lock the wind speed monitoring parameters, that is, the wind speed monitoring parameters are not adjusted.
The method can control the adjusting function of the adjusting component corresponding to the monitoring parameter to be in a locking state according to the active adjusting instruction of the user aiming at the monitoring parameter, can better respond to the actual requirement of the user, and has high flexibility.
Optionally, the user can actively adjust the monitoring parameters through non-contact modes such as language and gestures through a remote controller, an air conditioning device APP in the mobile terminal and an operation panel on the body of the air conditioning device, and sends an active adjustment instruction.
Further, in the process of adjusting the adjusting component, a closing instruction of the user for one-dimensional monitoring parameters in the multidimensional monitoring parameters is detected, which indicates that the user has a desire to close the adjusting function of the monitoring parameters, that is, the air conditioning equipment is not required to adjust the monitoring parameters, and the adjusting component corresponding to the monitoring parameters can be controlled to be in a closed state according to the closing instruction. Optionally, the monitoring function of the monitoring parameter may be controlled to be turned off according to the turn-off instruction, that is, the monitoring value of the monitoring parameter is not obtained, so as to save energy consumption.
The method can control the adjusting component corresponding to the monitoring parameter to be in a closed state according to the closing instruction of the user aiming at the monitoring parameter, can better respond to the actual requirement of the user, has high flexibility, and is also beneficial to saving energy consumption.
Optionally, the user can close the monitoring parameters through non-contact modes such as language, gestures and the like through a remote controller, an air conditioning device APP in the mobile terminal and an operation panel on the body of the air conditioning device, and sends a closing instruction.
It should be noted that details that are not disclosed in the control method of the air conditioning equipment in the embodiment of the present application refer to details disclosed in the above embodiments of the present application, and are not described herein again.
Therefore, by adopting the control method of the air conditioning equipment, the user can select at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters according to personal wishes, and the parameters are used as the monitoring parameters to be adjusted by the air conditioning equipment, so that the control method has higher flexibility. Moreover, the adjusting component corresponding to any one-dimensional monitoring parameter can be adjusted according to the target recommended value and the monitoring value of any one-dimensional monitoring parameter in the selected multi-dimensional monitoring parameters, so that the actual requirements of users can be better responded only by adjusting the selected monitoring parameter, each-dimensional monitoring parameter is not required to be adjusted, and energy consumption is effectively saved.
According to an embodiment of the present invention, as shown in fig. 3, after entering the multi-dimensional adjustment mode in response to a first instruction for turning on the multi-dimensional adjustment mode of the air conditioning apparatus, the method includes the steps of:
s301: and acquiring the identity information of the user, and identifying the type of the user according to the identity information.
The identity information department of the user comprises an account number of the user using the air conditioning equipment, identification information of equipment installed in the air conditioning equipment APP and the like, wherein the identification information department comprises an equipment code.
In one embodiment of the present application, identifying the type of the user according to the identity information may include identifying whether the identity information of the user is in a user list of the air conditioning equipment, and identifying the user as an old user if the identity information of the user is in the user list of the air conditioning equipment, which indicates that the user has used the air conditioning equipment. If the identity information of the user is not in the user list of the air conditioning equipment, the user is identified as a new user, which indicates that the user does not use the air conditioning equipment.
In an embodiment of the application, after the identity information of the user is obtained, historical use data of the air conditioning equipment used by the user can be obtained according to the identity information of the user. It should be noted that the historical usage data of the air conditioning equipment used by the user may include temperature information, humidity information, windshield information, wind sweeping mode, fresh air mode, operation mode, cumulative usage times, cumulative usage duration and other data which are actively set by the user.
Further, a mapping relation or a mapping table between historical data of the air conditioning equipment used by the user and the type of the user can be established in advance, and after the historical data of the air conditioning equipment used by the user is obtained, the mapping relation or the mapping table is inquired, so that the type of the user can be determined. The mapping relation or the mapping table can be preset in the storage space of the air conditioning equipment.
Alternatively, the type of the user may be identified according to the cumulative number of times the user uses the air conditioning apparatus and the cumulative period of use.
For example, the cumulative number of times of use and the cumulative duration of use of the air conditioning equipment by the user may be obtained, and if it is identified that the cumulative number of times of use is greater than a preset first threshold, or the cumulative duration of use is greater than a preset second threshold, it is indicated that the number of times of use of the air conditioning equipment by the user is greater, or the duration of use is longer, that is, the user is an old user, and the user is identified as the first type of user.
Or, if the recognition accumulated use times is smaller than the preset first threshold and the recognition accumulated use time is also smaller than the preset second threshold, it indicates that the use times of the air conditioning equipment used by the user are less and the use time is shorter, that is, the user is a new user and the user is identified as a second type of user.
The preset first threshold and the preset second threshold may be calibrated according to actual conditions, for example, the preset first threshold may be calibrated to be 3, the preset second threshold may be calibrated to be 36 hours, and both the preset first threshold and the preset second threshold may be preset in the storage space of the air conditioning equipment.
As another possible implementation manner, after the recognition that the accumulated usage times is greater than the preset first threshold, or after the recognition that the accumulated usage time is greater than the preset second threshold, the accumulated times of the user for actively adjusting any one-dimensional monitoring parameter in the multidimensional monitoring parameters may be continuously obtained, and the user type of the user relative to each-dimensional monitoring parameter may be recognized according to the accumulated times and the accumulated usage times of the user for actively adjusting any one-dimensional monitoring parameter.
If the ratio of the accumulated times of the user actively adjusting any one-dimensional monitoring parameter to the accumulated using times is greater than or equal to a preset third threshold, it indicates that the user actively adjusts any one-dimensional monitoring parameter more times, and the user can be finally identified as a first type of user relative to any one-dimensional monitoring parameter.
Or, if the ratio of the cumulative number of times that the user actively adjusts any one-dimensional monitoring parameter to the cumulative number of times of use is smaller than a preset third threshold, it indicates that the number of times that the user actively adjusts any one-dimensional monitoring parameter is small, and the user can be finally identified as the second type user relative to any one-dimensional monitoring parameter.
The preset third threshold may be calibrated according to actual conditions, for example, may be calibrated to be 0.5, and the preset third threshold may be preset in the storage space of the air conditioning equipment.
The method can identify the user type of the user relative to any one-dimensional monitoring parameter according to the ratio of the accumulated times and the accumulated use times of the user for actively adjusting any one-dimensional monitoring parameter, so that different monitoring parameters can correspond to different user types, and the accuracy and the flexibility are higher.
S302: and acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters according to the type of the user.
The method can acquire different recommended values of each dimension of monitoring parameters according to different types of users, can meet the use requirements of different types of users, and has higher flexibility.
In an embodiment of the application, obtaining the recommended value of each monitoring parameter in the multidimensional monitoring parameters according to the type of the user may include determining a target model for obtaining the recommended value and first data required by the target model according to the type of the user, and then obtaining the recommended value based on the target model and the first data. Wherein the first data may include historical usage data of the air conditioning device used by the user, current environmental data of the environment in which the user is located, and current time information.
In one embodiment of the application, the air conditioning device has a self-learning mode, and obtaining the recommended value based on the target model and the first data may include self-learning the first data using the target model to obtain the recommended value for each dimension of the monitored parameter.
In an embodiment of the application, when the user is identified as the first class user, the first learning model corresponding to the first class user may be obtained as the target model.
Further, when the user is identified as the first-class user, it is indicated that the user is an old user or the user has a large number of times of actively adjusting any one-dimensional monitoring parameter or has a long use time, and at this time, the use habit and demand of the user on the air conditioning equipment can be reflected by the historical use data of the user using the air conditioning equipment, or the adjustment habit and demand of the user on any one-dimensional monitoring parameter can be reflected, so that the recommended value is close to the habit and demand of the user, and the historical use data can be used for acquiring the recommended value of each one-dimensional monitoring parameter. In addition, in order to make the recommended value more consistent with the current environment and time, the current environment data and the current time information of the environment can be used for obtaining the recommended value of each dimension of monitoring parameters.
That is, when the user is identified as the first type of user, the historical usage data of the air conditioning equipment used by the user, the current environment data of the environment where the user is located, and the current time information may be used as the first data, and then the first data may be input to the first learning model to obtain the recommended value of the monitoring parameter for each dimension.
The method can comprehensively consider the influence of the historical use data of the air conditioning equipment used by the user, the current environment data of the environment and the current time information on the recommended value of the monitoring parameter, so that the recommended value of the monitoring parameter is more in line with the use habit and the requirement of the user, is more humanized and improves the comfort level of the user.
For example, if the user is a first type of user with respect to humidity, humidity information actively set by the user, current outdoor humidity of the environment, indoor humidity, current month, and specific time period may be used as the first data, and then the first data is self-learned by using the first learning model to obtain the recommended value of humidity.
In an embodiment of the present application, when the user is identified as the second type of user, a second learning model corresponding to the second type of user may be obtained as the target model.
Further, when the user is identified as the second type of user, it is indicated that the user is a new user or the number of times of actively adjusting any one-dimensional monitoring parameter by the user is small or the use time is short, at this time, the use habit and the demand of the user on the air conditioning equipment cannot be reflected by the historical data of the user using the air conditioning equipment, or the adjustment habit and the demand of the user on any one-dimensional monitoring parameter cannot be reflected, and the historical use data is not used for obtaining the recommended value of each-dimensional monitoring parameter. In addition, in order to make the recommended value more consistent with the current environment and time, the current environment data and the current time information of the environment can be used for obtaining the recommended value of each dimension of the monitoring parameter.
In an embodiment of the application, when the user is identified as the second type of user, the current environment data and/or the current time information of the environment where the user is located may be used as the first data, then the first data is input to the second learning model to obtain the group attribute of the user, then the group user is obtained according to the group attribute, and the recommendation value corresponding to the group user is obtained as the recommendation value of the user.
The method can comprehensively consider the current environment data of the environment, the current time information and the influence of the group users on the recommended value of the monitoring parameter, so that the recommended value of the monitoring parameter is more in line with the current environment time and the use habits and requirements of the group users, and the comfort level of the users is improved.
Optionally, obtaining the group users according to the group attributes may include pre-establishing a mapping relationship or a mapping table between the group attributes and the group users, and after obtaining the group attributes of the users, querying the mapping relationship or the mapping table, so as to obtain the group users matched with the users. It should be noted that the recommended value corresponding to the group user may be calibrated according to an actual situation, or may be an average value of the recommended values of the actual users who meet the group user. For example, if the user is a second type of user with respect to humidity, the current outdoor humidity, the indoor humidity, the current month and the specific time period of the environment where the user is located may be used as first data, and then the first data is input to the second learning model to obtain the group attribute of the user.
Therefore, the control method of the air conditioning equipment can identify the rationality of the user according to the identity information of the user, so that different recommended values of each dimension of monitoring parameters can be obtained according to different types of the user, the use requirements of different types of users can be met, and the control method has high flexibility.
When the attribute of the correction value is a time attribute, acquiring the correction value of at least one attribute according to the adjustment instruction and the state information, as shown in fig. 4, including:
s401: the preset time is divided into a plurality of preset time periods.
It should be noted that, since the emergency has a sudden and short time, for example, the cold invasion may cause rapid cooling, and the cooling duration may last for about one week, when the recommended value is corrected, the recommended value may only be responded to the adjustment command within a preset time from the current time, that is, the adjustment command before the preset time may be applied to the self-learning model as the historical usage data of the air conditioning equipment.
It should be understood that, if an emergency such as a house rental will continuously affect the environmental change of the air conditioning equipment, the adjustment instruction in the initial stage of the house rental may be only used as a correction response to the adjustment instruction within the preset time, that is, the adjustment instruction in the initial stage of the house rental gradually becomes the historical use data of the air conditioning equipment as time goes on, that is, a new recommended value is formed according to the continuous use of a new tenant.
Further, since the purpose of using the air conditioning device by the user is to make the air condition during work, study, and life of the user continuously meet the demand, for example, the air conditioning device in the working area is usually continuously operated from the time of work to the time of work, the air conditioning device in the living area is usually continuously operated until the user goes to sleep after the user goes home, and the like. Therefore, as a possible embodiment, the preset time may be divided into a plurality of preset time periods in units of days, and of course, the preset time may be divided into a plurality of preset time periods according to specific time periods (morning, afternoon, evening) of each day.
S402: and acquiring the input time of each adjusting instruction input by the user, and determining the preset time period of each input time.
S403: and acquiring a weight value corresponding to each preset time period.
It should be understood that, since the adjustment instruction input by the user closer to the current time can express the recent state of the user (or environment), the weight value may be set according to the distance between the preset time period and the current time, wherein the shorter the time is from the current time, the larger the set weight value is.
For example, the weighting values, e.g., 2, 1.8, 1.5, 1.3, 1, 0.5, 0.1, may be set 7 days before the current time, wherein it is understood that the weighting value at the current time (today) is 2, the weighting value at the previous preset time period (yesterday) is 1.8, the weighting value at the next previous preset time period (previous day) is 1.5, and so on.
S404: the adjustment amount in each adjustment instruction is fetched.
The adjustment amount is a modification amount of the recommended value by the user through the adjustment instruction, taking temperature as an example, if the adjustment instruction input by the user is to adjust the recommended value up by 2 ℃, the adjustment amount is +2 ℃, if the adjustment instruction input by the user is to adjust the recommended value down by 2 ℃, the adjustment amount is-2 ℃, taking humidity as an example, if the adjustment instruction input by the user is to adjust the humidity up by 5%, the adjustment amount is + 5%, and if the adjustment instruction input by the user is to adjust the humidity down by 5%, the adjustment amount is-5%.
S405: and weighting the adjustment quantity according to the weight value to obtain a correction value based on the time attribute.
Here, the weighting calculation may be selected according to a preset weighting value, for example, the initial weighting value in the foregoing example is greater than 1, and therefore, the weighting calculation should be a weighted average value, that is, a weighted average value of the weighting and the adjustment amount is used as a correction value, and if the preset weighting values are all less than 1, only the weighting calculation may be performed, that is, a weighted sum of the weighting and the adjustment amount is used as a correction value.
Specifically, the user can use the air conditioning equipment for multiple times within the preset time, when the user uses the air conditioning equipment each time, the input time of the adjustment instruction input by the user and the adjustment amount for any one dimension are recorded and stored, the weight of each preset time period within the preset time before the current time is obtained according to the current time, the weight of any one dimension and the adjustment amount are subjected to weighted calculation, and the correction value of the dimension is obtained.
It should be understood that the preset time is a time length, for example, seven days, and the preset time in the foregoing embodiment is an influence of the user inputting the adjustment command to the air conditioning equipment in the preset time before the current time on the target recommended value at the current time, and accordingly, it also indicates that the adjustment command input to the air conditioning equipment by the user at the current time will also influence the target recommended value in the preset time length in the future.
That is, since the user's one-time adjustment of the air conditioning equipment (modifying the recommended value by the adjustment instruction) is easily determined as error data in the self-learning model, that is, the adjustment of any one-dimensional recommended value in the current air conditioning equipment generally only acts on the current air conditioning, even if the current air conditioning is finished (the air conditioning equipment is closed or the adjustment dimension of the current operation is closed), the adjustment instruction becomes historical usage data, and the recommended value obtained by the self-learning model does not have a significant change, that is, the recommended value for the next use of the air conditioning equipment does not have an influence, and therefore, the present application introduces the modification adjustment, so that the one-time adjustment of the air conditioning equipment by the user can have an influence on the recommended value in the future preset time.
When the attribute of the correction value is the environmental state attribute, acquiring the correction value of at least one attribute according to the adjustment instruction and the state information, as shown in fig. 5, including:
s501: and acquiring the mapping relation between the regulating instruction and the environmental state information by using a gradient descent algorithm.
S502: and acquiring a correction value based on the environment state attribute according to the current environment state information and the mapping relation.
That is, when the recommended value of the air conditioning equipment is adjusted by the user and is related to the environmental state, the adjustment instruction and the environmental state information of the user history may be analyzed by using a gradient descent algorithm to obtain the mapping relationship between the adjustment instruction and the environmental state information.
It should be understood that the adjustment instruction may include a time when the user inputs the adjustment instruction, an adjustment dimension, and an adjustment amount, in this embodiment, the influence of the environmental state information on the adjustment amount may be obtained for any one dimension, for example, in a rainy day or a southerly day in the south, the adjustment amount of the humidity by the user is typically-10%, that is, the recommended value of the indoor humidity is reduced to maintain the indoor humidity in a comfortable state, and for example, when the outdoor temperature is reduced due to cold flow or seasonal change, the adjustment amount of the temperature by the user is +3 ℃, so as to reduce the influence of the outdoor low temperature on the indoor temperature by increasing the target indoor temperature.
After the mapping relation between the adjustment instruction and the environmental state information is obtained, the environmental state information of the environment where the air conditioning equipment is located at the current moment is further obtained, so that the correction value which is most suitable for the current environmental state is obtained through back-stepping according to the environmental state information and the mapping relation.
Therefore, the mapping relation between the environmental state information and the adjusting instruction can be obtained by analyzing the historical environmental state information and the adjusting instruction, and the correction value meeting the user preference can be obtained through the mapping relation under any environmental state information.
When the attribute of the correction value is the environmental status attribute, acquiring the correction value of at least one attribute according to the adjustment instruction and the status information, as shown in fig. 6, including:
s601: and acquiring the mapping relation between the regulating instruction and the running state information by using a gradient descent algorithm.
S602: and acquiring a correction value based on the running state attribute according to the current running state information and the mapping relation.
That is, when the recommended value of the air conditioning equipment is adjusted by the user and is related to the operating state of the air conditioning equipment, the historical adjustment instruction and the historical operating state information of the user can be analyzed by using a gradient descent algorithm to obtain the mapping relation between the adjustment instruction and the operating state information.
It should be understood that the adjustment instruction may include a time when the user inputs the adjustment instruction, an adjustment dimension, and an adjustment amount, and in this embodiment, the influence of the operation state information on the adjustment amount may be obtained for any one dimension, for example, when the cumulative operation time of the air conditioning equipment on the temperature adjustment reaches the control wind speed reduction, the user may increase the recommended value of the wind speed dimension by correcting to keep the wind speed in a comfortable state, and the like.
After the mapping relation between the adjusting instruction and the operation state information is obtained, the operation state information of the environment where the air conditioning equipment is located at the current moment is further obtained, and the corrected value which is most suitable for the current environment state is obtained through back-stepping according to the operation state information and the mapping relation.
Therefore, the method and the device can analyze historical operating state information and the adjusting instruction to obtain the mapping relation between the operating state information and the adjusting instruction, and can obtain the correction value meeting the user preference through the mapping relation under any operating state information.
To make the present application more clear to those skilled in the art, fig. 7 is a flowchart of a control method of an air conditioning apparatus according to one specific example of the present application, and as shown in fig. 7, the control method may include the steps of:
s701: the method includes responding to a first instruction for starting a multi-dimensional adjustment mode of the air conditioning device to enter the multi-dimensional adjustment mode.
S702: and acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters.
S703: acquiring at least one adjusting instruction input by a user within preset time and state information of the input adjusting instruction.
S704: and acquiring a correction value based on the time attribute according to the adjusting instruction and the time of the adjusting instruction input by the user.
S705: and acquiring a correction value based on the environmental state attribute according to the adjusting instruction and the environmental state information.
S706: and acquiring a correction value based on the running state attribute according to the adjusting instruction and the time state information.
S707: and carrying out weighted operation on the correction value based on the time attribute, the environment state attribute and the running state attribute to obtain a target correction value.
S708: and correcting the recommended value of the corresponding dimension by using the target correction value, and taking the corrected recommended value as the target recommended value at the current moment.
S709: and adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
In summary, the control method of the air conditioning equipment provided by the application can correct the recommended value at the current moment according to the adjusting instruction of the user and the state information when the adjusting instruction is input, and adjust the adjusting component according to the target recommended value, so that the problems that the self-learning model requires a long training time and cannot adapt to environmental changes in a short time are effectively solved, the target recommended value of the air conditioning equipment can meet the use habits and requirements of the user more quickly, the control method is more humanized, and the comfort level of the user is improved.
In order to implement the above embodiments, the present invention also provides a control device of an air conditioning apparatus.
Fig. 8 is a block schematic diagram of a control device of an air conditioning apparatus according to an embodiment of the present application. As shown in fig. 8, the control device 100 of the air conditioning apparatus includes: a mode initiation module 10, an acquisition module 20, a modification module 30, and an adjustment module 40.
Wherein the mode starting module 10 is configured to respond to a first instruction for starting a multi-dimensional adjustment mode of the air conditioning equipment to enter the multi-dimensional adjustment mode; the obtaining module 20 is configured to obtain a recommended value of each monitoring parameter in the multidimensional monitoring parameters; the correction module 30 is configured to obtain at least one adjustment instruction input by a user within a preset time and state information when the adjustment instruction is input, and correct the recommended value according to the adjustment instruction and the state information to obtain a target recommended value at a current time; the adjusting module 40 is configured to adjust an adjusting component corresponding to at least one-dimensional monitoring parameter in the multidimensional monitoring parameters according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter.
Further, the obtaining module 20 is further configured to obtain identity information of a user, and identify a type of the user according to the identity information; and acquiring a recommended value of each dimension of the multi-dimension monitoring parameters according to the type.
Further, the obtaining module 20 is further configured to determine, according to the type, a target model for obtaining the recommended value and first data required by the target model, and obtain the recommended value based on the target model and the first data.
Further, the obtaining module 20 is further configured to identify the user as a first type of user; acquiring a first learning model corresponding to the first class of users as the target model; acquiring historical use data of the air conditioning equipment used by the user, current environment data of the environment and current time information as the first data; and self-learning the historical use data, the current environment data and the current time information by using the first learning model to obtain the recommended value.
Further, the obtaining module 20 is further configured to identify the user as a second type of user; acquiring a second learning model corresponding to the second class of users as the target model; acquiring current environment data and/or current time information of the environment where the user is located as the first data; using the second learning module to learn the first data to acquire the group attribute of the user; and acquiring group users according to the group attributes, and acquiring the recommendation values corresponding to the group users as the recommendation values of the users.
Further, the modification module 30 is further configured to obtain a modification value of at least one attribute according to the adjustment instruction and the state information; weighting the correction value according to the weight of the corresponding attribute of the correction value to obtain a target correction value; and correcting the recommended value of the corresponding dimensionality by using the target corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
Further, the attribute includes at least one of a time attribute, an environmental status attribute, and an air conditioning equipment operation status attribute.
Further, the modification module 30 is further configured to divide the preset time into a plurality of preset time periods; acquiring input time of each adjusting instruction input by a user, and determining the preset time period of each input time; acquiring a weight value corresponding to each preset time period; extracting the adjustment quantity in each adjustment instruction; and weighting the regulating quantity according to the weight value to obtain the correction value based on the time attribute.
Further, the modification module 30 is further configured to obtain a mapping relationship between the adjustment instruction and the environmental status information by using a gradient descent algorithm; and acquiring the correction value based on the environmental state attribute according to the current environmental state information and the mapping relation.
Further, the correction module 30 is further configured to obtain a mapping relationship between the adjustment instruction and the operation state information by using a gradient descent algorithm; and acquiring the correction value based on the running state attribute according to the current running state information and the mapping relation.
Further, the multidimensional monitoring parameters include: two or more of humidity, temperature, wind speed, pollutant content in air and air quality index.
Further, the conditioning assembly is integrated with or independent of the air conditioning device.
It should be noted that the foregoing explanation of the embodiment of the control method of the air conditioning equipment is also applicable to the control device of the air conditioning equipment of this embodiment, and details are not repeated here.
In order to implement the above-mentioned embodiment, the present application also proposes an air conditioning apparatus 200, as shown in fig. 9, which includes the control device 100 of the above-mentioned air conditioning apparatus.
The air conditioning equipment of the embodiment of the application can adjust a plurality of monitoring parameters simultaneously, and the adjusting processes of the monitoring parameters are mutually independent, so that the flexibility of the air conditioning equipment is improved. Furthermore, the adjusting component corresponding to the monitoring parameter can be adjusted according to the recommended value and the monitoring value of the monitoring parameter, so that the monitoring parameter can be adjusted.
In order to implement the above embodiments, the present application further proposes an electronic device 300, as shown in fig. 10, where the electronic device 300 includes a memory 31 and a processor 32. Wherein the processor 32 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 31 for implementing the control method of the air conditioning apparatus described above.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (15)

1. A control method of an air conditioning apparatus, characterized by comprising the steps of:
responding to a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment to enter the multi-dimensional adjusting mode;
acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters;
acquiring at least one adjusting instruction input by a user within preset time and state information when the adjusting instruction is input, and correcting a recommended value according to the adjusting instruction and the state information to acquire a target recommended value at the current moment;
adjusting an adjusting component corresponding to at least one-dimensional monitoring parameters according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameters in the multi-dimensional monitoring parameters;
the obtaining at least one adjusting instruction input by a user within a preset time and state information when the adjusting instruction is input, and modifying the recommended value according to the adjusting instruction and the state information to obtain a target recommended value at the current moment, includes:
obtaining a correction value of at least one attribute according to the adjusting instruction and the state information;
weighting the correction value according to the weight of the corresponding attribute of the correction value to obtain a target correction value;
and correcting the recommended value of the corresponding dimensionality by using the target corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
2. The control method of an air conditioning apparatus according to claim 1, wherein the obtaining of the recommended value of each of the multi-dimensional monitoring parameters further includes:
acquiring identity information of a user, and identifying the type of the user according to the identity information;
and acquiring a recommended value of each dimension of the multi-dimension monitoring parameters according to the type.
3. The control method of an air conditioning apparatus according to claim 2, wherein the obtaining of the recommended value of each of the multi-dimensional monitoring parameters according to the type includes:
and according to the type, determining a target model for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data.
4. The control method of an air conditioning apparatus according to claim 3, wherein the determining, according to the type, a target model for obtaining the recommended value and first data required for the target model, and obtaining the recommended value based on the target model and the first data, includes:
identifying the user as a first type of user;
acquiring a first learning model corresponding to the first class of users as the target model;
acquiring historical use data of the air conditioning equipment used by the user, current environment data of the environment and current time information as the first data;
and inputting the first data into the first learning model to obtain the recommended value.
5. The control method of an air conditioning apparatus according to claim 3, wherein the determining, according to the type, a target model for obtaining the recommended value and first data required for the target model, and obtaining the recommended value based on the target model and the first data, includes:
identifying the user as a second class of user;
acquiring a second learning model corresponding to the second class of users as the target model;
acquiring current environment data and/or current time information of the environment where the user is located as the first data;
inputting the first data into the second learning model to obtain the group attribute of the user;
and acquiring group users according to the group attributes, and acquiring the recommendation values corresponding to the group users as the recommendation values of the users.
6. The control method of the air conditioning apparatus according to claim 1, characterized in that the attribute includes at least one of a time attribute, an environmental status attribute, and an air conditioning apparatus operation status attribute.
7. The control method of an air conditioning apparatus according to claim 6, wherein the obtaining of the correction value of at least one attribute based on the adjustment instruction and the status information includes:
dividing the preset time into a plurality of preset time periods;
acquiring input time of each adjusting instruction input by a user, and determining the preset time period of each input time;
acquiring a weight value corresponding to each preset time period;
extracting the adjustment quantity in each adjustment instruction;
and weighting the regulating quantity according to the weight value to obtain the correction value based on the time attribute.
8. The control method of an air conditioning apparatus according to claim 6, wherein the obtaining of the correction value of at least one attribute based on the adjustment instruction and the status information includes:
acquiring a mapping relation between the adjusting instruction and the environmental state information by using a gradient descent algorithm;
and acquiring the correction value based on the environmental state attribute according to the current environmental state information and the mapping relation.
9. The control method of an air conditioning apparatus according to claim 6, wherein the obtaining of the correction value of at least one attribute based on the adjustment instruction and the status information includes:
acquiring a mapping relation between the adjusting instruction and the running state information by using a gradient descent algorithm;
and acquiring the correction value based on the running state attribute according to the current running state information and the mapping relation.
10. The control method of an air conditioning apparatus according to any one of claims 1 to 9, characterized in that the multidimensional monitoring parameter includes: at least two of humidity, temperature, wind speed, pollutant content in the air, and air quality index.
11. The control method of an air conditioning apparatus according to any one of claims 1 to 9, characterized in that the conditioning component is integrated with or independent of the air conditioning apparatus.
12. A control device of an air conditioning apparatus, characterized by comprising:
the system comprises a mode starting module, a control module and a control module, wherein the mode starting module is used for responding a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment so as to enter the multi-dimensional adjusting mode;
the acquisition module is used for acquiring a recommended value of each dimension of monitoring parameters in the multidimensional monitoring parameters;
the correction module is used for acquiring at least one adjusting instruction input by a user within preset time and state information when the adjusting instruction is input, and correcting the recommended value according to the adjusting instruction and the state information to acquire a target recommended value at the current moment;
the adjusting module is used for adjusting an adjusting component corresponding to at least one-dimensional monitoring parameters according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameters in the multi-dimensional monitoring parameters;
the correction module is further configured to: obtaining a correction value of at least one attribute according to the adjusting instruction and the state information; weighting the correction value according to the weight of the corresponding attribute of the correction value to obtain a target correction value; and correcting the recommended value of the corresponding dimensionality by using the target corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
13. An air conditioning apparatus, characterized by comprising: the control device of the air conditioning apparatus according to claim 12.
14. An electronic device comprising a memory, a processor;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for implementing the control method of the air conditioning apparatus according to any one of claims 1 to 11.
15. A computer-readable storage medium, which stores a computer program, characterized in that the program, when executed by a processor, implements the control method of the air conditioning apparatus according to any one of claims 1 to 11.
CN202010239694.XA 2020-03-30 2020-03-30 Air conditioning equipment, control method and device thereof and electronic equipment Active CN111397131B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010239694.XA CN111397131B (en) 2020-03-30 2020-03-30 Air conditioning equipment, control method and device thereof and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010239694.XA CN111397131B (en) 2020-03-30 2020-03-30 Air conditioning equipment, control method and device thereof and electronic equipment

Publications (2)

Publication Number Publication Date
CN111397131A CN111397131A (en) 2020-07-10
CN111397131B true CN111397131B (en) 2021-12-21

Family

ID=71434855

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010239694.XA Active CN111397131B (en) 2020-03-30 2020-03-30 Air conditioning equipment, control method and device thereof and electronic equipment

Country Status (1)

Country Link
CN (1) CN111397131B (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114562805B (en) * 2020-11-27 2024-03-29 广东美的制冷设备有限公司 Air conditioner, control method thereof and computer storage medium
CN112856737B (en) * 2021-02-07 2022-06-14 重庆海尔空调器有限公司 Preheating control method of air conditioner
CN113203194B (en) * 2021-04-25 2023-01-06 南京广厦软件有限公司 High-precision constant-temperature constant-humidity heating and ventilation control method and system and readable storage medium
CN113757952B (en) * 2021-08-18 2023-10-13 清华大学 Air conditioner control method and device and air conditioner
CN114811867A (en) * 2022-03-14 2022-07-29 青岛海尔空调器有限总公司 Method and device for controlling air conditioner, air conditioner and storage medium
CN114811822A (en) * 2022-03-14 2022-07-29 青岛海尔空调器有限总公司 Method and device for controlling air conditioner, terminal equipment and storage medium
WO2023237113A1 (en) * 2022-06-10 2023-12-14 佛山市顺德区美的电子科技有限公司 Control method and apparatus for air conditioning device, and device, medium and program product
CN117249544A (en) * 2022-06-10 2023-12-19 佛山市顺德区美的电子科技有限公司 Control method, device, apparatus, medium and program product for air conditioning apparatus
CN117249541A (en) * 2022-06-10 2023-12-19 佛山市顺德区美的电子科技有限公司 Control method, device, apparatus, medium and program product for air conditioning apparatus
CN117249543A (en) * 2022-06-10 2023-12-19 佛山市顺德区美的电子科技有限公司 Control method, device, apparatus, medium and program product for air conditioning apparatus

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103697563A (en) * 2012-09-27 2014-04-02 广东美的制冷设备有限公司 Air conditioner with expert learning function, expert learning method and control method
CN104279713A (en) * 2014-10-24 2015-01-14 珠海格力电器股份有限公司 Air conditioner control method and system and air conditioner controller
CN104879888A (en) * 2015-04-30 2015-09-02 广东美的制冷设备有限公司 Device and method for automatically setting parameters of household appliances
CN104913440A (en) * 2015-05-26 2015-09-16 青岛海尔空调器有限总公司 Air-conditioner comfort control method
CN105202721A (en) * 2015-07-31 2015-12-30 广东美的制冷设备有限公司 Air conditioner and control method thereof
CN107883535A (en) * 2017-10-24 2018-04-06 珠海格力电器股份有限公司 Air conditioning control method and device
CN108036473A (en) * 2017-11-30 2018-05-15 广东芬尼克兹节能设备有限公司 A kind of intelligent temperature and humidity control method and device
CN108036474A (en) * 2017-12-07 2018-05-15 北海市天硌打印耗材有限公司 A kind of air-conditioner temperature adjusting method and system
CN108151243A (en) * 2017-11-03 2018-06-12 珠海格力电器股份有限公司 Control method, the device and system of air-conditioning
CN109520071A (en) * 2018-10-18 2019-03-26 珠海东之尼电子科技有限公司 A kind of air-conditioning self-adaptation control method and system based on support vector machines study
CN110486913A (en) * 2019-08-26 2019-11-22 珠海格力电器股份有限公司 Control method, device, equipment, air-conditioning and the storage medium of air-conditioning
CN110631221A (en) * 2018-06-05 2019-12-31 珠海格力电器股份有限公司 Control method and device of air conditioner, terminal and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10289094B2 (en) * 2011-04-14 2019-05-14 Suntracker Technologies Ltd. System and method for the optimization of radiance modelling and controls in predictive daylight harvesting
CN105222270B (en) * 2015-09-16 2018-03-13 珠海格力电器股份有限公司 Air-conditioner control method and system

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103697563A (en) * 2012-09-27 2014-04-02 广东美的制冷设备有限公司 Air conditioner with expert learning function, expert learning method and control method
CN104279713A (en) * 2014-10-24 2015-01-14 珠海格力电器股份有限公司 Air conditioner control method and system and air conditioner controller
CN104879888A (en) * 2015-04-30 2015-09-02 广东美的制冷设备有限公司 Device and method for automatically setting parameters of household appliances
CN104913440A (en) * 2015-05-26 2015-09-16 青岛海尔空调器有限总公司 Air-conditioner comfort control method
CN105202721A (en) * 2015-07-31 2015-12-30 广东美的制冷设备有限公司 Air conditioner and control method thereof
CN107883535A (en) * 2017-10-24 2018-04-06 珠海格力电器股份有限公司 Air conditioning control method and device
CN108151243A (en) * 2017-11-03 2018-06-12 珠海格力电器股份有限公司 Control method, the device and system of air-conditioning
CN108036473A (en) * 2017-11-30 2018-05-15 广东芬尼克兹节能设备有限公司 A kind of intelligent temperature and humidity control method and device
CN108036474A (en) * 2017-12-07 2018-05-15 北海市天硌打印耗材有限公司 A kind of air-conditioner temperature adjusting method and system
CN110631221A (en) * 2018-06-05 2019-12-31 珠海格力电器股份有限公司 Control method and device of air conditioner, terminal and storage medium
CN109520071A (en) * 2018-10-18 2019-03-26 珠海东之尼电子科技有限公司 A kind of air-conditioning self-adaptation control method and system based on support vector machines study
CN110486913A (en) * 2019-08-26 2019-11-22 珠海格力电器股份有限公司 Control method, device, equipment, air-conditioning and the storage medium of air-conditioning

Also Published As

Publication number Publication date
CN111397131A (en) 2020-07-10

Similar Documents

Publication Publication Date Title
CN111397131B (en) Air conditioning equipment, control method and device thereof and electronic equipment
CN111397153B (en) Air conditioning equipment, control method and device thereof and electronic equipment
US10126010B2 (en) Controlling system for environmental comfort degree and controlling method of the controlling system
US20190186771A1 (en) System, method and apparatus for identifying manual inputs to and adaptive programming of a thermostat
CN111397150A (en) Air conditioning equipment, control method and device thereof and electronic equipment
CN110726218B (en) Air conditioner, control method and device thereof, storage medium and processor
CN111457565A (en) Air conditioning equipment, control method and device thereof and electronic equipment
CN111442483B (en) Air conditioning equipment, control method and device thereof and electronic equipment
CN111442499A (en) Air conditioning equipment, control method and device thereof and electronic equipment
JP2020133963A (en) Server to execute optimum on/off time calculation processing of air conditioner, and optimum on/off time calculation processing system
CN112696798A (en) Parameter setting method of air conditioner, air conditioning apparatus, and computer-readable storage medium
CN110491379A (en) A kind of sound control method of household electrical appliance, voice controller and air conditioner
CN111442498B (en) Air conditioning equipment, control method and device thereof and electronic equipment
US10823446B2 (en) System of adjusting load of air conditioning and method of adjusting the same
CN112050446B (en) Control method of fresh air conditioner
CN111442501B (en) Air conditioning equipment and control method and device thereof
CN111397154B (en) Air conditioning equipment and control method and device thereof
CN111442482A (en) Air conditioning equipment, control method and device thereof and electronic equipment
CN114526540A (en) Air conditioner, method of controlling the same, and computer-readable storage medium
CN112050438B (en) Control method of air conditioner under refrigeration working condition
CN111397152B (en) Air conditioning equipment and control method and device thereof
CN110500737A (en) A kind of sound control method of household electrical appliance, voice controller and air conditioner
JP2020186826A (en) Air-conditioning control system and program
CN112050440A (en) Control method of fresh air conditioner
CN112050447B (en) Control method of fresh air conditioner

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant