WO2020199645A1 - 空调器的控制方法和空调运行系统 - Google Patents
空调器的控制方法和空调运行系统 Download PDFInfo
- Publication number
- WO2020199645A1 WO2020199645A1 PCT/CN2019/125053 CN2019125053W WO2020199645A1 WO 2020199645 A1 WO2020199645 A1 WO 2020199645A1 CN 2019125053 W CN2019125053 W CN 2019125053W WO 2020199645 A1 WO2020199645 A1 WO 2020199645A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- air conditioner
- debugged
- target
- operating parameters
- mode
- Prior art date
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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
-
- 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
- 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
Definitions
- the present disclosure is based on the application with the CN application number 201910257657.9 and the filing date on April 1, 2019, and claims its priority.
- the disclosure of the CN application is hereby incorporated into the present disclosure as a whole.
- the present disclosure relates to the technical field of air conditioning control, and in particular to a control method of an air conditioner and an air conditioning operation system.
- the operation mode of the air conditioner refers to the operation according to the temperature, wind speed, and operation mode of the unit pre-set by the manufacturer.
- the user cannot adjust the control parameters in the automatic mode.
- set mode 1 in the air conditioner. Mode two, mode three, among them, mode one corresponds to temperature 18 degrees, wind speed level 3, cooling operation; mode two corresponds to temperature 21 degrees, wind speed level 2, cooling operation; mode 3 corresponds to temperature 24 degrees, wind speed level 4, cooling operation .
- These operating modes are set in advance and are fixed at the factory. Normal users can only adjust the mode when using it. For example, adjust the mode from mode one to mode three, but the fixed parameters in the mode cannot be adjusted.
- the embodiments of the present disclosure provide an air conditioner control method and an air conditioner operation system to at least solve the technical problem that the air conditioner has a single control parameter in the automatic mode, which causes the air conditioner to fail to meet the needs of different users.
- a control method of an air conditioner including: acquiring at least one of historical operating parameters of the air conditioner to be debugged and area location information of a target area where the air conditioner to be debugged is located; Determine the target operating mode of the air conditioner to be debugged in the target area according to at least one of the historical operating parameters and the area location information; switch the current operating mode of the air conditioner to be debugged to the Target operating mode.
- control method further includes: acquiring historical operating parameters of multiple air conditioners located in the target area where the air conditioner to be debugged is located.
- control method further includes pre-dividing the target range served by the multiple air conditioners into a plurality of area grids, each of the area grids corresponds to an area grid coordinate, and the area location
- the information includes at least: regional grid coordinates and location information of the air conditioner.
- the obtaining the historical operating parameters of the air conditioner to be debugged includes: obtaining, through a wireless communication module installed in the air conditioner to be debugged, the regional grid coordinates of the target area where the air conditioner to be debugged is located and Positioning information; through the wireless communication module installed in the air conditioner to be debugged, the historical operating parameters of each air conditioner in the target area are acquired.
- the step of determining the target operating mode of the air conditioner to be debugged in the target area includes: counting the use of each air conditioner in the target area according to the historical operating parameters of each air conditioner The running time and the running times of each running mode obtain the statistical result; according to the statistical result, the running mode with the most running times is determined, and the running mode is determined as the target running mode; or, according to the statistical result, the running mode is determined The operating mode with the longest operating time, and the operating mode is determined as the target operating mode.
- the control method further includes: determining the weather statistics duration and Outdoor weather change data within the weather statistical time period; determine whether the weather change range indicated by the outdoor weather change data exceeds the preset weather change range; if the outdoor weather change data within the weather statistical period indicate that the weather change range exceeds the The preset weather change range reduces the weather statistics time period, so that the acquired outdoor weather change data and the current time weather change range are reduced.
- the historical operating parameters include at least one of the following: set temperature, operating function, wind speed, and sweep angle.
- the method further includes: determining that the to-be-commissioned air conditioner is within a historical preset time period. Debug the historical operating parameters of the air conditioner whether the change range exceeds the preset change range; if the historical operating parameters change in the historical preset time period exceeds the preset change range, adjust the duration of the historical preset time period for statistics, In order to reduce the variation range of the acquired historical operating parameters and the current time air-conditioning operating parameters.
- a control device for an air conditioner including: an acquiring unit configured to acquire historical operating parameters of the air conditioner to be debugged and the location of the target area where the air conditioner to be debugged is located At least one of the information; a determining unit configured to determine the target operating mode of the air conditioner to be debugged in the target area according to at least one of the historical operating parameters and the area location information; a switching unit, It is configured to switch the current operation mode of the air conditioner to be debugged to the target operation mode.
- an air conditioner operation system which applies the control method of the air conditioner described above, and includes: a server for obtaining the operation mode and positioning information of each air conditioner;
- Each of the air conditioners includes at least one wireless communication module to send the recorded operating parameters of the air conditioner to the server, and the server according to the operating parameters, each air conditioner
- the operation mode and positioning information of the air conditioner determine the target area where the air conditioner is located, and determine the target operation mode of the air conditioner in the target area.
- the air conditioner further includes: a control unit, configured to adjust the current operation mode to the target operation mode when the current operation mode is different from the target operation mode.
- a storage medium is also provided, the storage medium is used to store a program, wherein when the program is executed by a processor, the device where the storage medium is located controls any of the foregoing embodiments to be executed.
- the control method of the air conditioner is also provided, the storage medium is used to store a program, wherein when the program is executed by a processor, the device where the storage medium is located controls any of the foregoing embodiments to be executed.
- a processor is also provided, the processor is configured to run a program, wherein the air conditioner control method described in any of the foregoing embodiments is executed when the program is running.
- the historical operating parameters of the air conditioner to be debugged and/or the regional location information of the target area where the air conditioner to be debugged is acquired are used to determine the operating parameters in the target area based on the historical operating parameters and/or regional location information.
- the target operating mode of the air conditioner to be debugged is to switch the current operating mode of the air conditioner to the target operating mode.
- control content under the automatic mode of different air conditioner units can be adjusted adaptively, and the target operating mode can be determined according to the historical operating parameters of the air conditioner and/or the regional location information of the target area where the air conditioner is located, effectively enhancing the automatic
- the rationality of the mode control improves the comfort of users, and further determines the technical problem that the air conditioner has a single control parameter in the automatic mode, which causes the air conditioner to fail to adapt to the needs of different users.
- Fig. 1 is a flowchart of a control method of an air conditioner according to some embodiments of the present disclosure
- Figure 2 is a schematic diagram of a control device of an air conditioner according to some embodiments of the present disclosure
- Fig. 3 is a schematic diagram of an air-conditioning operation system according to some embodiments of the present disclosure.
- the operation mode of the air conditioner can automatically adjust the parameters according to the historical operating parameters of the air conditioner, the environmental parameters of the area or place, and regional information.
- the operation mode of the air conditioner is automatically adjusted according to the operation mode used by the people in the area where the air conditioner is located the most or the longest time or the person close to the user's house.
- the adjustment The parameters may include at least one of the following: wind speed, temperature, cooling and heating mode, sweeping direction, etc.
- the air conditioner in the present application can be adapted to various environments and regions, and the operating modes of different regions can be flexibly adjusted.
- the embodiments of the present disclosure do not limit the specific types of air conditioners and the modes preset in the air conditioners. They can be adjusted according to the situation of each air conditioner.
- the air conditioner may include but is not limited to: wall-mounted Type air conditioner, vertical cabinet type air conditioner, window type air conditioner.
- the environment or area used by the air conditioner in the following embodiments of the present disclosure includes, but is not limited to: cities, mountains, plateaus, towns, grasslands, etc., and the location of the area used can be adjusted according to different countries. Settings, for example, can be divided into large areas in China: North China Plain, Northeast Plain, coastal cities, western mountains, plateaus, etc.
- the operating mode of the air conditioner when the operating mode of the air conditioner is switched, it may be automatically switched, that is, the automatic mode.
- the control module of the air conditioner can judge whether the current operation mode is consistent with the target operation mode. If it is determined that the current operation mode is inconsistent with the target operation mode, the operation mode will be automatically switched. Set operating mode.
- the GPRS wireless module can be used to obtain the location information of the air conditioner, which can receive or send data with remote servers and communication base stations, through regional data analysis of the remote server or data analysis of the air conditioner itself. Adjust the control content of the air conditioner in automatic mode.
- the referenced information when adjusting the operating mode of the air conditioner, includes but is not limited to: historical operating parameters of the air conditioner, the location of the area where the air conditioner is located, and may also include: the operating mode used by users around the air conditioner and each operation Operating parameters in the mode.
- the established analysis model can be used in the analysis.
- an embodiment of a control method of an air conditioner is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.
- Fig. 1 is a flowchart of a method for controlling an air conditioner according to an embodiment of the present disclosure. As shown in Fig. 1, the method includes the following steps:
- Step S102 acquiring at least one of historical operating parameters of the air conditioner to be debugged and area location information of the target area where the air conditioner to be debugged is located;
- Step S104 Determine the target operating mode of the air conditioner to be debugged in the target area according to historical operating parameters and/or area location information;
- Step S106 Switch the current operation mode of the air conditioner to the target operation mode.
- control content under the automatic mode of different air conditioner units can be adjusted adaptively, and the target operating mode can be determined according to the historical operating parameters of the air conditioner and/or the regional location information of the target area where the air conditioner is located, effectively enhancing the automatic
- the rationality of the mode control improves the comfort of users, thereby solving the technical problem that the air conditioner has a single control parameter in the automatic mode, which causes the air conditioner to fail to adapt to the needs of different users.
- Step S102 Obtain historical operating parameters of the air conditioner to be debugged and/or area location information of the target area where the air conditioner to be debugged is located.
- This step is to perform statistical analysis on the historical operating parameters and regional location information of the air conditioner. Since each air conditioner is located at a different geographic location, in the embodiments of the present disclosure, the regions can be divided according to the global positioning information of each air conditioner.
- the historical operating parameters include at least one of the following: set temperature, operating function, wind speed, and sweep angle, that is, various historical operating parameters of the air conditioner in the historical time period can be collected.
- the historical operating parameters may also include cooling/heating functions.
- the air conditioner has the longest operating time in the set of control parameters, mainly including the operating function of the unit, set temperature, wind speed and sweep angle. According to this set of control parameters, the control unit adjusts the operating mode.
- the control content of the air conditioner in automatic mode is modified;
- the second type is to refer to the historical operating parameters of the air conditioner and the location information of the area where the air conditioner is located through the wireless communication module, and then the area location information and the historical operating parameters of the air conditioner Send to the remote server, the remote server judges the geographic location of the air conditioner based on the location information of the area, combined with the historical operating parameters of other air conditioners in the area, determines the target operation mode, and uses the control parameters of the target operation mode as the area adjustment automatic
- the basis of the mode control parameters is to transmit the control data to the wireless communication module (such as the GPRS module) of the air conditioner in the area through the remote server.
- the wireless communication module transmits the data to the control unit to modify the control content in the automatic mode.
- the above-mentioned first type may not refer to the operating parameters of other air conditioners, that is, the air conditioner may not be provided with a wireless communication module
- the second type may refer to the operating parameters of other air conditioners, that is, the air conditioner may be provided with a wireless communication module.
- the method further includes: determining that Whether the change range of the historical operating parameters of the air conditioner to be debugged in the historical preset time period exceeds the preset change range; if the change range of the historical operating parameters during the historical preset time period exceeds the preset change range, adjust the statistics
- the duration of the historical preset period of time is so that the acquired historical operating parameters and the air-conditioning operating parameters at the current time vary in magnitude. Because the changes in wind speed and temperature in each area are inconsistent, the acquisition time period for historical operating parameters is also inconsistent.
- the historical time period in the acquired historical operating parameters can be closer to the current time period. For example, in the grasslands of Inner Mongolia or the North China Plain, where wind speed and temperature change rapidly, when collecting historical operating parameters, only need to collect nearly one week The operating parameters can be. If the environmental parameters change slowly in a certain area, and the changes in temperature, wind speed, etc. are low, the historical time period in the acquired historical operating parameters can be longer. For example, in Kunming, Yunnan, the environmental parameters change during the year Lower, when acquiring historical operating parameters, you can acquire parameters for nearly half a month or one month. Adjust by itself according to the environmental parameters and historical operating conditions of each area.
- the method further includes: determining the weather statistics duration and the weather statistics duration Outdoor weather change data in the house; determine whether the weather change range indicated by the outdoor weather change data exceeds the preset weather change range; if the outdoor weather change data within the weather statistics period indicates that the weather change range exceeds the preset weather change range, the weather is reduced Count the length of time so that the acquired outdoor weather change data and the current time weather change range are reduced.
- the time period selected in the statistical analysis of data can be modified according to outdoor weather changes (including temperature and humidity). For example, if the outdoor weather changes greatly in a period of time, the weather statistics time period can be reduced to achieve more precise control.
- the target range served by multiple air conditioners can be divided into multiple regional grids, and each regional grid corresponds to regional grid coordinates and regional location information. At least include: regional grid coordinates and location information of the air conditioner.
- Obtaining historical operating parameters of the air conditioner to be debugged includes: obtaining the regional grid coordinates and positioning information of the target area where the air conditioner to be debugged is located through the wireless communication module installed in the air conditioner to be debugged; The communication module obtains the historical operating parameters of each air conditioner in the target area.
- the historical operating parameters of the air conditioner to be debugged can be sent to the remote server through the wireless communication module.
- the server can locate the position of the air conditioner to be debugged, and the server judges the air conditioner to be debugged based on the location.
- the geographical location of the air conditioner can be divided into regional locations such as provinces, cities, districts and counties.
- the server classifies and categorizes the historical operating parameters of each air conditioner in different regions (plains, highlands, seaside, provinces, cities, districts, etc.) After sorting, the server can send the historical operating parameters of each air conditioner to the air conditioner to be debugged.
- the server after the server receives the historical operating parameters of each air conditioner, it can count the data based on the principle of conforming to the comfort level of most people, and first filter out the time each air conditioner user has turned on the air conditioner in the past period of time. A group of parameters controlled most of the time.
- This group of parameters represents the user's preferred air conditioner control content, such as unit function, set temperature, wind speed, sweep angle and mode, etc., and determine this group of parameters as the target of the area Various operating parameters in the mode.
- the historical operating parameters of the air conditioner in the historical time period may be stored through the control unit of the air conditioner to be debugged or a special buffer area.
- the regional grid when dividing the regional grid, it can be divided into a multi-layer regional grid, for example, for each country, first divided into several regions, for example, for China, the division can include: North China Plain, Northeast Plain, Southern Mountain, Coastal City, Western Plateau, Western Desert, Northern Grassland, etc.; in addition, regions can be divided into provinces, cities, districts, counties, etc., and multiple regions can be identified. Each region The location and scope of the area can be divided by itself.
- Step S104 Determine a target operating mode of the air conditioner to be debugged in the target area according to at least one of historical operating parameters and area location information.
- the step of determining the target operating mode of the air conditioner to be debugged in the target area includes: counting the operation of each air conditioner in the target area using each operating mode according to the historical operating parameters of each air conditioner Time length and the number of runs, the statistical results are obtained; according to the statistical results, the operating mode with the most runs is determined, and the operating mode is determined as the target operating mode; or, based on the statistical results, the operating mode with the longest operating time is determined, and the operation The mode is determined as the target operating mode.
- the target operating mode can be determined according to the operating time and operating times of each operating mode of the air conditioner.
- Each operating parameter in the target operating mode matches the target area where the air conditioner is located.
- the target operating mode there are two situations. The first one is to determine the target operating mode of the air conditioner based on the operating mode with the most operating times/duration in the area where the air conditioner is located; the second one can be based on the surrounding air conditioner
- the operating mode of the preset number of air conditioners is used to determine the target operating mode, and the average value of each operating parameter of the preset number of air conditioners around is taken as the operating parameter of the target operating mode, for example, the operating mode of the nearest 100 air conditioners around the air conditioner.
- the average value of the 100 air-conditioning operating modes is used to determine the operating parameters in the target operating mode.
- Step S106 Switch the current operation mode of the air conditioner to the target operation mode.
- the current operation mode of the air conditioner can be switched to the target operation mode.
- the current operating mode of the air conditioner if it is determined that the current operating mode of the air conditioner is basically the same as the operating parameters in the target operating mode, no adjustment may be made. If it is determined that the current operating mode of the air conditioner is significantly different from the operating parameters in the target operating mode , Adjust the operating parameters of the air conditioner, including adjusting the set temperature, wind speed, sweep angle, cooling/heating mode, and so on.
- the present disclosure is illustrated by some other embodiments below.
- the following embodiments relate to a control device of an air conditioner, and the control device of the air conditioner uses the above-mentioned control method of the air conditioner.
- Fig. 2 is a schematic diagram of a control device of an air conditioner according to some embodiments of the present disclosure, applying the above-mentioned control method of the air conditioner.
- the control device 2 of an air conditioner includes: an acquiring unit 22 configured to acquire at least one of historical operating parameters of the air conditioner to be debugged and area location information of the target area where the air conditioner to be debugged is located, for example Perform step S102; the determining unit 24 is configured to determine the target operating mode of the air conditioner to be debugged in the target area according to at least one of the historical operating parameters and the area location information, for example, perform step S104;
- the switching unit 26 is configured to switch the current operation mode of the air conditioner to be debugged to the target operation mode, for example, execute step S106.
- the following embodiments relate to an air-conditioning operation system, which uses the above-mentioned air conditioner control method.
- Fig. 3 is a schematic diagram of an air conditioner operating system according to some embodiments of the present disclosure, applying the above-mentioned control method of the air conditioner.
- the air-conditioning operation system 3 includes: a server 31 and a plurality of air conditioners 33, among which,
- the server is used to obtain the operation mode and positioning information of each air conditioner
- each air conditioner contains at least one wireless communication module to send the operating parameters of the recorded air conditioner to the server, and the server depends on the operating parameters, the operating mode of each air conditioner, and positioning information
- the target area where the air conditioner is located is determined, and the target operation mode of the air conditioner in the target area is determined.
- the above air conditioner operating system can use a server to obtain the operating mode and positioning information of each air conditioner, and send the recorded operating parameters of the air conditioner to the server through the wireless communication module included in the multiple air conditioners.
- the server is based on the operating parameters and each air conditioner.
- the operation mode and positioning information of the air conditioner determine the target area where the air conditioner is located, and determine the target operation mode of the air conditioner in the target area.
- the control content under the automatic mode of different air conditioner units can be adjusted adaptively.
- the target operating mode adapts to the local temperature
- the wind speed and other environments automatically adjust the operation mode of the air conditioner in each area, which effectively enhances the rationality of the air conditioner operation mode control, improves the user's comfort, and determines the single control parameter of the air conditioner in the automatic mode.
- the server may be a remote communication server.
- the wireless communication module in the embodiments of the present disclosure may be a GPRS module.
- the GPRS module is used to obtain the location information of the air conditioner, which can receive or send data with remote servers and communication base stations.
- the air conditioner further includes a control unit for adjusting the current operation mode to the target operation mode when the current operation mode is different from the target operation mode.
- the air conditioner control unit can record the historical operating parameters of the unit, and has the functions of data analysis, data reception, and command issuance. This unit can communicate with the GPRS module; through the regional data analysis of the remote server or the data analysis of the air conditioner itself Adjust the control content of the air conditioner in automatic mode.
- the air conditioner has no wireless communication module
- the air conditioner control unit records the historical operating data of the unit, analyzes the data, and filters out a group of control parameters that have the longest operating time of the air conditioner during the open time in the past period of time, mainly including the operating functions and settings of the unit.
- the temperature, wind speed and sweep angle, according to this group of control parameters, the control unit modifies the control content of the air conditioner in automatic mode.
- control unit obtained through data analysis that the air conditioner was operating under the conditions of setting the temperature at 25°C, cooling mode, medium speed, and down-sweep most of the time.
- the control unit adjusted the automatic mode according to the control content of this group.
- the significance of adjusting the control content under the following is that when the user turns on the automatic mode of the air conditioner, it can meet the actual needs of the user to the greatest extent, and the comfort level can be improved through the self-learning and self-adjustment of the air conditioner.
- the air conditioner has a wireless communication module
- the air conditioner in the embodiments of the present disclosure in addition to the conventional major components, also includes at least one wireless communication module (such as a GPRS module, which can receive or send data), and a control unit.
- the unit can record the operating parameters of the air conditioner and has the functions of data storage, data analysis and control command issuing.
- the unit can communicate with the GPRS module (receive data or send data).
- the wireless communication module of each air conditioner can be used to receive the data collected by each air conditioner, and after the data is analyzed and processed, the analysis result (such as the determined target operating mode) is sent to the air conditioner in.
- the server may have the functions of data collection, data storage, data analysis, and data distribution, and may distribute data to an air conditioner with a wireless communication module.
- the control unit transmits the recorded historical operating parameters of the air conditioner to the wireless communication module.
- the wireless communication module communicates with the base station to obtain the relative position information of the air conditioner, and then the position information and the historical operation of the air conditioner
- the parameters are sent to the remote server, and the remote server judges the geographic location of the air conditioner (which can be divided into provinces, cities, districts and counties) through the location information, and stores operating parameter data.
- the server classifies and organizes the data based on different regions (provinces, cities, districts and counties), and collects statistics on the principle of conforming to the comfort level of most people, and first filters out each air-conditioning user during the air-conditioning period in the past period A set of parameters controlled most of the time.
- This set of parameters represents the user's preferred air conditioner control content, such as unit function, set temperature, wind speed, sweep angle and mode, etc., and then filter out the area through the server's big data analysis
- a group of control parameters regulated by most people in the crowd, and this group of control parameters is used as the basis for adjusting the automatic mode control parameters in the area.
- the control data is transmitted to the wireless communication module of the air conditioner in the area through the server, and the wireless communication module transmits the data To the control unit, modify the control content in the automatic mode.
- the operating mode can be adjusted according to the environmental change of each area.
- the time period selected in the statistical analysis of the data can be modified according to the change of outdoor weather (temperature and humidity). Large changes within a period of time, reduce the data statistics period, to achieve more precise control.
- a storage medium the storage medium is used to store a program, wherein when the program is executed by the processor, the device where the storage medium is located controls the control method of any one of the above air conditioners .
- a processor which is used to run a program, where any one of the above-mentioned air conditioner control methods is executed when the program is running.
- the above-mentioned air conditioner may further include a processor and a memory.
- the above-mentioned wireless communication module and control unit are all stored in the memory as a program unit, and the processor executes the above-mentioned program unit stored in the memory to realize corresponding functions.
- the above-mentioned processor contains a kernel, and the kernel calls the corresponding program unit from the memory.
- the kernel can be set to one or more, and the target operating mode of the air conditioner is determined by adjusting the kernel parameters.
- the above-mentioned memory may include non-permanent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least A memory chip.
- RAM random access memory
- ROM read-only memory
- flash RAM flash memory
- the embodiment of the present disclosure provides a device that includes a processor, a memory, and a program stored on the memory and running on the processor.
- the processor executes the program, the following steps are implemented: obtaining historical operating parameters of the air conditioner to be debugged and/ Or the area location information of the target area where the air conditioner to be debugged is located; determine the target operating mode of the air conditioner to be debugged in the target area based on historical operating parameters and/or area location information; switch the current operating mode of the air conditioner to the target Operating mode.
- the target range served by multiple air conditioners is divided into multiple area grids in advance, each area grid corresponds to the area grid coordinates, and the area location information includes at least: the area grid coordinates and the air conditioner
- the following steps can also be realized: through the wireless communication module installed in the air conditioner to be debugged, the area grid coordinates and positioning information of the target area where the air conditioner to be debugged is obtained; The wireless communication module installed in the air conditioner obtains the historical operating parameters of each air conditioner in the target area; and records the historical operating parameters of the air conditioner in the historical preset time period through the memory.
- the following steps may also be implemented: according to the historical operating parameters of each air conditioner, the operation time and operation times of each operation mode of each air conditioner in the target area are counted to obtain statistics Result: According to the statistical results, determine the operating mode with the most running times and determine the operating mode as the target operating mode; or, according to the statistical results, determine the operating mode with the longest operating time, and determine the operating mode as the target operating mode.
- the following steps may also be implemented: after obtaining historical operating parameters of the air conditioner to be debugged and/or location information of the target area where the air conditioner to be debugged is located, determine the weather statistics duration and Outdoor weather change data during the weather statistics period; determine whether the weather change range indicated by the outdoor weather change data exceeds the preset weather change range; if the outdoor weather change data within the weather statistics period indicate the weather change range exceeds the preset weather change range, The weather statistics time period is reduced to reduce the acquired outdoor weather change data and the current time weather change range.
- the historical operating parameters include at least one of the following: set temperature, operating function, wind speed, and sweep angle.
- the following steps may also be implemented: after obtaining historical operating parameters of the air conditioner to be debugged and/or regional location information of the target area where the air conditioner to be debugged is located, it is determined Set whether the change range of the historical operating parameters of the air conditioner to be debugged during the time period exceeds the preset change range; if the change range of the historical operating parameters during the historical preset time period exceeds the preset change range, adjust the statistical history The duration of the time period is preset, so that the acquired historical operating parameters and the air-conditioning operating parameters at the current time vary in magnitude.
- This application also provides a computer program product, which when executed on a data processing device, is suitable for executing a program that initializes the following method steps: acquiring historical operating parameters of the air conditioner to be debugged and/or the target where the air conditioner to be debugged is located Regional location information of the area; determine the target operating mode of the air conditioner to be debugged in the target area based on historical operating parameters and/or regional location information; switch the current operating mode of the air conditioner to the target operating mode.
- the disclosed technical content can be implemented in other ways.
- the device embodiments described above are merely illustrative.
- the division of the units may be a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not implemented.
- the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of units or modules, and may be in electrical or other forms.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
- the functional units in the various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
- the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
- the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
- the technical solution of the present disclosure essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , Including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present disclosure.
- the aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program code .
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
本公开涉及一种空调器的控制方法和空调运行系统。其中，该方法包括：获取待调试空调的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息；依据历史运行参数和/或区域位置信息，确定在目标区域中的待调试空调器的目标运行模式；将空调的当前运行模式切换为目标运行模式。本公开解决了空调器在自动模式下的控制参数单一，导致空调器无法适应不同用户的需求的技术问题。
Description
相关申请的交叉引用
本公开是以CN申请号为201910257657.9，申请日为2019年4月1日的申请为基础，并主张其优先权，该CN申请的公开内容在此作为整体引入本公开中。
本公开涉及空调控制技术领域，具体而言，涉及一种空调器的控制方法和空调运行系统。
在发明人已知的技术中，空调的运行模式是指按照厂家预先设定的温度、风速、机组的运行模式运行，用户不可调整自动模式中的控制参数，例如，在空调器中设置模式一，模式二，模式三，其中，模式一对应温度18度、风速3级、制冷运行；模式二对应温度21度、风速2级、制冷运行；模式三对应温度24度、风速4级、制冷运行。这些运行模式都是提前设置好的，在出厂时就已经固定，普通用户在使用时，仅仅能调整模式，例如，将模式一调整到模式三，但是对于模式中的固定参数是无法调整的。
发明内容
不同人群对空调的温度、风速以及制冷制热状况的偏好及适应情况不同(如南方人在夏天偏好的居室温度较北方人高)，按照自动模式下厂家所设定控制参数不能完全适应不同人群所需，由于人群的差异性，按照统一的自动模式运行不能适应不同人群所需。
针对上述的问题，目前尚未提出有效的解决方案。
本公开实施例提供了一种空调器的控制方法和空调运行系统，以至少解决空调器在自动模式下的控制参数单一，导致空调器无法适应不同用户的需求的技术问题。
根据本公开实施例的一个方面，提供了一种空调器的控制方法，包括：获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种；依据所述历史运行参数和所述区域位置信息中的至少一种，确定在所述目标区域中的待调试空调器的目标运行模式；将所述待调试空调器的当前运行模式切换为所述目标运行模式。
在一些实施例中，所述控制方法还包括：获取位于所述待调试空调器所在目标区域的多个空调器的历史运行参数。
在一些实施例中，所述控制方法还包括：预先将多个空调器所服务的目标范围划分为 多个区域网格，每个所述区域网格对应有区域网格坐标，所述区域位置信息至少包括：区域网格坐标和空调器的定位信息。
在一些实施例中，所述获取待调试空调器的历史运行参数包括：通过所述待调试空调器中安装的无线通信模块，获取到所述待调试空调器所在目标区域的区域网格坐标和定位信息；通过所述待调试空调器中安装的无线通信模块，获取到所述目标区域中各个空调器的历史运行参数。
在一些实施例中，确定在所述目标区域中的待调试空调器的目标运行模式的步骤，包括：根据所述各个空调器的历史运行参数，统计在所述目标区域中每个空调器使用各个运行模式的运行时长和运行次数，得到统计结果；根据所述统计结果，确定运行次数最多的运行模式，并将该运行模式确定为所述目标运行模式；或者，根据所述统计结果，确定运行时长最多的运行模式，并将该运行模式确定为所述目标运行模式。
在一些实施例中，在获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种之后，所述控制方法还包括：确定天气统计时长和在所述天气统计时长内的室外天气变化数据；判断所述室外天气变化数据指示的天气变化幅度是否超出预设天气变化幅度；若在天气统计时长内的室外天气变化数据指示天气变化幅度超出所述预设天气变化幅度，则缩减天气统计时长，以使获取到的室外天气变化数据与当前时间的天气变化幅度降低。
在一些实施例中，所述历史运行参数包括下述至少之一：设定温度、运行功能、风速以及扫风角度。
在一些实施例中，在获取待调试空调的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息之后，所述方法还包括：判断在历史预设时间段内所述待调试空调器的历史运行参数的变化幅度是否超出预设变化幅度；若在历史预设时间段内的历史运行参数的变化幅度超出预设变化幅度，则调整统计的历史预设时间段的时长，以使获取到的历史运行参数与当前时间的空调运行参数变化幅度降低。
根据本公开实施例的又一方面，还提供了一种空调器的控制装置，包括：获取单元，配置为获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种；确定单元，配置为依据所述历史运行参数和所述区域位置信息中的至少一种，确定在所述目标区域中的待调试空调器的目标运行模式；切换单元，配置为将所述待调试空调器的当前运行模式切换为所述目标运行模式。
根据本公开实施例的另一方面，还提供了一种空调运行系统，应用上述所述的空调器的控制方法，包括：服务器，用于获取各个空调器的运行模式和定位信息；多个空调器，分别与所述服务器连接；其中，每个所述空调器中至少包含一无线通讯模块，以将记录空调的运行参数发送至所述服务器中，所述服务器依据所述运行参数、各个空调器的运行模 式和定位信息确定所述空调器所在的目标区域，并确定出所述空调器在目标区域中的目标运行模式。
在一些实施例中，所述空调器还包括：控制单元，用于在当前运行模式与所述目标运行模式不相同时，将所述当前运行模式调整为所述目标运行模式。
根据本公开实施例的另一方面，还提供了一种存储介质，所述存储介质用于存储程序，其中，所述程序在被处理器执行时控制所述存储介质所在设备执行上述任意实施例所述的空调器的控制方法。
根据本公开实施例的另一方面，还提供了一种处理器，所述处理器用于运行程序，其中，所述程序运行时执行上述任意实施例所述的空调器的控制方法。
在本公开实施例中，采用获取待调试空调的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息，依据历史运行参数和/或区域位置信息，确定在目标区域中的待调试空调器的目标运行模式，将空调的当前运行模式切换为目标运行模式。在该实施例中，可以对不同空调器机组自动模式下的控制内容进行适应性调整，根据空调器的历史运行参数和/或所在目标区域的区域位置信息，确定出目标运行模式，有效增强自动模式控制的合理性，提高用户的舒适度，进而决空调器在自动模式下的控制参数单一，导致空调器无法适应不同用户的需求的技术问题。
此处所说明的附图用来提供对本公开的进一步理解，构成本申请的一部分，本公开的示意性实施例及其说明用于解释本公开，并不构成对本公开的不当限定。在附图中：
图1是根据本公开一些实施例的空调器的控制方法的流程图；
图2是根据本公开一些实施例的空调器的控制装置的示意图；
图3是根据本公开一些实施例的空调运行系统的示意图。
为了使本技术领域的人员更好地理解本公开方案，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本公开一部分的实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本公开保护的范围。
需要说明的是，本公开的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本公开的实施例能够以除了在这里图示或描述 的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本公开下述实施例可以应用于各种空调器中，空调器的运行模式可以自行根据空调器的历史运行参数、所在区域或者地方的环境参数、区域信息自行调整参数，例如，在空调器的自动运行模式下，根据空调器所在区域使用次数最多或者使用时间最长或者与用户所在房屋相近的人所使用的运行模式，来自动调整该空调器的运行模式，在调整运行模式时，调整的参数可以包括如下至少之一：风速、温度、制冷制热模式、扫风方向等。相对于当前的运行模式和模式对应的参数不可调整的情况，本申请中的空调器可以适应于各种环境和区域，对不同区域的运行模式能够灵活调整。
在一些实施例中，本公开实施例对于空调器的具体类型和空调器中预先设置的模式不做限定，根据每种空调器的情况自行调整，例如，空调器可以包括但不限于：挂壁式空调器、立柜式空调、窗式空调。
在一些实施例中，本公开下述实施例中的空调器所使用的环境或者区域包括但不限于：城市、山地、高原、城镇、草原等，而使用的区域位置可以依据不同的国家自行进行设置，例如，在中国大的区域可以分为：华北平原、东北平原、沿海城市、西部山地、高原等。
本公开实施例在切换空调的运行模式时，可以是自动切换的，即自动模式。在实际使用时，打开空调器后，空调器的控制模块可以判断当前运行与目标运行模式是否一致，若确定当前运行模式与目标运行模式不一致，自动切换运行模式，目标运行模式并不是空调器预先设定的运行模式。
在一些实施例中，本公开实施例中可以利用GPRS无线模块获取空调器的位置信息，可与远程的服务器以及通讯基站进行数据接收或发送，通过远程服务器的区域数据分析或空调器自身数据分析对空调器自动模式下的控制内容进行调整。
本公开实施例在调整空调器的运行模式时，参考的信息包括但不限于：空调器历史运行参数、空调器所在的区域位置，还可以包括：空调器周围用户所使用的运行模式和各运行模式下的运行参数。通过获取到的各个参考信息进行综合分析，在分析时，可以使用已建立的分析模型。下面对本公开各实施例进行详细说明。
根据本公开实施例，提供了一种空调器的控制方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
图1是根据本公开实施例的一种空调器的控制方法的流程图，如图1所示，该方法包括如下步骤：
步骤S102，获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种；
步骤S104，依据历史运行参数和/或区域位置信息，确定在目标区域中的待调试空调器的目标运行模式；
步骤S106，将空调的当前运行模式切换为目标运行模式。
通过上述步骤，可以获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种，依据历史运行参数和区域位置信息中的至少一种，确定在目标区域中的待调试空调器的目标运行模式，将空调的当前运行模式切换为目标运行模式。在该实施例中，可以对不同空调器机组自动模式下的控制内容进行适应性调整，根据空调器的历史运行参数和/或所在目标区域的区域位置信息，确定出目标运行模式，有效增强自动模式控制的合理性，提高用户的舒适度，进而解决空调器在自动模式下的控制参数单一，导致空调器无法适应不同用户的需求的技术问题。
下面对上述各个步骤进行详细说明。
步骤S102，获取待调试空调器的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息。
该步骤是对空调的历史运行参数和区域位置信息进行统计分析，由于每个空调所在的地理位置不同，本公开实施例中可以按照每个空调器的全球定位信息，进行区域划分。
在一些实施例中，历史运行参数包括下述至少之一：设定温度、运行功能、风速以及扫风角度，即可以对空调器在历史时间段中的各个历史运行参数进行采集。在一些实施例中，历史运行参数还可以包括：制冷/制热功能。
本公开实施例中，在实现运行模式的自动调整时，包括两种方式：第一种，参考空调器自身控制单元或者存储模块记录的机组的历史运行参数，然后对该参数进行分析，筛选出在历史时间段空调器在开启时间内运行时间最长的一组控制参数，主要包括机组的运行功能、设定温度、风速以及扫风角度，按照该组控制参数，控制单元调整运行模式，对空调器自动模式下的控制内容进行修改；第二种，参考空调器历史运行参数和通过无线通讯模块获取到的空调器所处的区域位置信息，之后将区域位置信息及空调器的历史运行参数发送给远程的服务器，远程服务器通过该区域位置信息判断空调器所处的地理位置，结合该区域其它空调器的历史运行参数，确定目标运行模式，将目标运行模式的控制参数作为该区域调整自动模式控制参数的依据，通过远程的服务器将调控数据传输至该地区空调器的无线通讯模块(如GPRS模块)，无线通讯模块将数据传输至控制单元，对自动模式下 的控制内容进行修改。
其中，上述第一种，可以不参考其它的空调器的运行参数，即空调器可以不设置无线通讯模块，第二种，可以参考其它空调的运行参数，即空调器可以设置无线通讯模块。
作为本公开另一在一些实施例中实施例，在获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种之后，方法还包括：判断在历史预设时间段内所述待调试空调器的历史运行参数的变化幅度是否超出预设变化幅度；若在历史预设时间段内的历史运行参数的变化幅度超出预设变化幅度，则调整统计的历史预设时间段的时长，以使获取到的历史运行参数与当前时间的空调运行参数变化幅度降低。由于每个区域的风速、温度等变化情况不一致，所以对于历史运行参数的获取时间段也不一致，例如，若在某一区域中，其环境参数变化剧烈，如温度或者风速等变化较快，则获取的历史运行参数中的历史时间段可以是与当前时间段较近的时间，如在内蒙草原或者华北平原上，风速和温度变化较快，则在采集历史运行参数时，只需要采集近一周的运行参数即可。若某一区域中，其环境参数变化较缓慢，其温度、风速等变化较低，则获取的历史运行参数中的历史时间段可以较长，例如，在云南昆明，其一年中环境参数变化较低，在获取历史运行参数时，可以获取近半月或者一个月的参数。根据每个区域的环境参数、历史运行情况自行调整。
作为本公开另一些实施例，在获取待调试空调器的历史运行参数和待调试空调器所在目标区域的区域位置信息中的至少一种之后，方法还包括：确定天气统计时长和在天气统计时长内的室外天气变化数据；判断室外天气变化数据指示的天气变化幅度是否超出预设天气变化幅度；若在天气统计时长内的室外天气变化数据指示天气变化幅度超出预设天气变化幅度，则缩减天气统计时长，以使获取到的室外天气变化数据与当前时间的天气变化幅度降低。由于每个地区的天气变化情况不一致，因此，需要根据每个区域的天气变化情况自行调整统计时长，即数据统计分析时所选择的时间段可以根据室外天气变化情况(包括温湿度)进行修改，例如，若室外天气变化情况在一段时间段内变化较大，则可以缩减天气统计时长，达到较为精准的控制。
而对于空调所在目标区域的区域位置信息，在本申请中可以预先将多个空调器所服务的目标范围划分为多个区域网格，每个区域网格对应有区域网格坐标，区域位置信息至少包括：区域网格坐标和空调器的定位信息。获取待调试空调器的历史运行参数包括：通过待调试空调器中安装的无线通信模块，获取到待调试空调器所在目标区域的区域网格坐标和定位信息；通过待调试空调器中安装的无线通信模块，获取到目标区域中各个空调器的历史运行参数。
在一些实施例中，在本公开实施例中，可以通过无线通讯模块将待调试空调的历史运行参数发送至远程服务器中，服务器可以定位该待调试空调器的位置，服务器通过该位置判断待调试空调器所处的地理位置，可分为省份、城市、区县等区域位置，服务器以不同 区域(平原、高地、海边、省份、城市、区县等)对各个空调器历史运行参数进行分类与整理，然后服务器可以将各个空调器的历史运行参数发送至待调试空调器。
在本实施例中，服务器在接收到各个空调器的历史运行参数后，可以以符合多数人舒适度为原则对数据进行统计，先筛选出在过去的一段时间内每位空调用户在空调开启时间内多数时间所控制的一组参数，该组参数代表用户所偏好的空调器控制内容，如机组功能、设定温度、风速、扫风角度及模式等，将该组参数确定为该区域的目标模式下的各个运行参数。
另一种在一些实施例中，在本公开实施例中，可以通过待调试空调器的控制单元或者专设的缓存区存储空调器在历史时间段中的历史运行参数。
在本公开实施例中，在划分区域网格时，可以是划分多层区域网格，例如，针对每个国家来说，先划分为大致的几个区域，例如，对于中国，可以划分包括：华北平原、东北平原、南部山区、沿海城市、西部高原、西部沙漠、北方草原等多个区域；另外，还可以以省、市、区、县等划分区域，确定出多个区域，每个区域的区域位置和区域范围可以自行划分。
步骤S104，依据历史运行参数和区域位置信息中的至少一种，确定在目标区域中的待调试空调器的目标运行模式。
作为本公开一些实施例，确定在目标区域中的待调试空调器的目标运行模式的步骤，包括：根据各个空调器的历史运行参数，统计在目标区域中每个空调器使用各个运行模式的运行时长和运行次数，得到统计结果；根据统计结果，确定运行次数最多的运行模式，并将该运行模式确定为目标运行模式；或者，根据统计结果，确定运行时长最多的运行模式，并将该运行模式确定为目标运行模式。
即可以根据空调器使用各个运行模式的运行时长和运行次数确定出目标运行模式。
该目标运行模式下的各个运行参数与空调所在的目标区域匹配。在确定目标运行模式时，分为两种情况，第一种，依据空调所在区域中运行次数/运行时长最多的运行模式来确定该空调器的目标运行模式；第二种，可以依据在空调周围预设数量个空调的运行模式来确定目标运行模式，并取周围预设数量个空调的各个运行参数的平均数值作为目标运行模式的运行参数，例如，取空调周围最近的100个空调的运行模式然后通过该100个空调的运行模式的平均数值来确定目标运行模式下的各个运行参数。
步骤S106，将空调的当前运行模式切换为目标运行模式。
即可以在确定出空调的目标运行模式后，将空调当前运行模式切换至目标运行模式。在该实施例中，若确定空调的当前运行模式与目标运行模式下的各个运行参数基本一致，则可以不做调整，若确定空调的当前运行模式与目标运行模式下的各个运行参数差别较大， 则调整空调的各个运行参数，包括调整设定温度、风速、扫风角度、制冷/制热模式，等等。
通过本公开上述实施例，可以对因空调产品在自动模式下控制的参数统一，导致自动模式下空调所控参数及运行模式不能满足不同人群实际所需的问题，对自动模式中的控制内容进行调整，迎合不同人群所需，而且通过本技术方案，对不同空调机组自动模式下的控制内容进行调整，有效增强了自动模式控制的合理性，提高了用户的舒适度。
下面通过另一些实施例来说明本公开。下述实施例中涉及到空调器的控制装置，该空调器的控制装置使用上述的空调器的控制方法。
图2是根据本公开一些实施例的空调器的控制装置的示意图，应用上述的空调器的控制方法。如图2所示，空调器的控制装置2包括：获取单元22，配置为获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种，例如执行步骤S102；确定单元24，配置为依据所述历史运行参数和所述区域位置信息中的至少一种，确定在所述目标区域中的待调试空调器的目标运行模式，例如执行步骤S104；切换单元26，配置为将所述待调试空调器的当前运行模式切换为所述目标运行模式，例如执行步骤S106。
下面通过又一些实施例来说明本公开。下述实施例中涉及到空调运行系统，该空调运行系统使用上述的空调器的控制方法。
图3是根据本公开一些实施例的空调运行系统的示意图，应用上述的空调器的控制方法。如图3所示，该空调运行系统3包括：服务器31和多个空调器33，其中，
服务器，用于获取各个空调器的运行模式和定位信息；
多个空调器，分别与服务器连接；其中，每个空调器中至少包含一无线通讯模块，以将记录空调的运行参数发送至服务器中，服务器依据运行参数、各个空调器的运行模式和定位信息确定所述空调器所在的目标区域，并确定出空调器在目标区域中的目标运行模式。
上述空调运行系统，可以采用服务器获取各个空调器的运行模式和定位信息，并通过多个空调器中包含的无线通讯模块将记录空调的运行参数发送至服务器中，服务器依据运行参数、各个空调器的运行模式和定位信息确定所述空调器所在的目标区域，并确定出空调器在目标区域中的目标运行模式。在该实施例中，可以对不同空调器机组自动模式下的控制内容进行适应性调整，根据空调器的历史运行参数和/或所在目标区域的区域位置信息，该目标运行模式适应当地的气温、风速等环境，对各个区域下的空调器的运行模式进行自动调整，有效增强了空调器运行模式控制的合理性，提高了用户的舒适度，进而决空调器在自动模式下的控制参数单一，导致空调器无法适应不同用户的需求的技术问题。
在一些实施例中，服务器可以为远程通信服务器。
在一些实施例中，本公开实施例中的无线通讯模块可以为GPRS模块，利用GPRS 模块获取空调器的位置信息，可与远程的服务器以及通讯基站进行数据接收或发送。在一些实施例中，空调器还包括：控制单元，用于在当前运行模式与目标运行模式不相同时，将当前运行模式调整为目标运行模式。空调器控制单元可记录机组历史运行参数，具有数据分析、数据接收、指令下发的功能，该单元可与所述GPRS模块之间进行通讯；通过远程服务器的区域数据分析或空调器自身数据分析对空调器自动模式下的控制内容进行调整。
本公开实施例中，调整空调器的运行模式的方式分为以下两种：
1、空调器没有无线通讯模块
空调器控制单元记录机组的历史运行数据，并对数据进行分析，筛选出在过去的一时间段空调器在开启时间内运行时间最长的一组控制参数，主要包括机组的运行功能、设定温度、风速以及扫风角度，按照该组控制参数，控制单元对空调器自动模式下的控制内容进行修改。
例如，在过去的一周，控制单元通过数据分析得到空调器在多数时间是按照设定温度为25℃、制冷模式、中速、下扫风的情况运行，控制单元按照该组控制内容对自动模式下的控制内容进行调整，其意义在于当用户开启空调器的自动模式后能最大程度上符合用户的实际需求，通过空调器的自学习自调整提高舒适度。
2、空调器有无线通讯模块
本公开实施例中的空调器，除了包括常规的各大零部件外，还至少包括1个无线通讯模块(如GPRS模块，该GPRS模块可以接收数据或者发送数据)，1个控制单元，该控制单元可记录空调器的运行参数，具有数据储存、数据分析及控制命令下发的功能，该单元可与所述GPRS模块之间进行通讯(接收数据或者发送数据)。
而对于上述的远程服务器，可以与各个空调器的无线通讯模块，用于接收各个空调器采集的数据，并对数据进行分析处理后，将分析结果(如确定的目标运行模式)发送至空调器中。在一些实施例中，服务器可以具有数据收集、数据储存、数据分析，以及数据下发的功能，可以下发数据到具有无线通讯模块的空调器。
空调器在安装后，控制单元将记录的空调器历史运行参数传输至无线通讯模块，无线通讯模块与基站通讯以获取该空调器所处的相对位置信息，之后将位置信息及空调器的历史运行参数发送给远程的服务器，远程服务器通过该位置信息判断空调器所处的地理位置(可分为省份、城市、区县)，并储存运行参数数据。
服务器以地区不同(省份、城市、区县)对数据进行分类与整理，以符合多数人舒适度为原则对数据进行统计，先筛选出在过去的一段时间内每位空调用户在空调开启时间内多数时间所控制的一组参数，该组参数代表用户所偏好的空调器控制内容，如机组功能、 设定温度、风速、扫风角度及模式等，再通过服务器的大数据分析筛选出该地区人群中多数人所调控的一组控制参数，将该组控制参数作为该地区调整自动模式控制参数的依据，通过服务器将调控数据传输至该地区空调器的无线通讯模块，无线通讯模块将数据传输至控制单元，对自动模式下的控制内容进行修改。
在本公开实施例中，可以根据每个区域的环境变化情况自行调整运行模式，例如，数据统计分析时所选择的时间段可根据室外天气变化情况(温湿度)进行修改，若室外天气情况在一时间段内变化较大，缩减数据统计时间段，达到较为精准的控制。
根据本公开实施例的另一方面，还提供了一种存储介质，存储介质用于存储程序，其中，程序在被处理器执行时控制存储介质所在设备执行上述任意一项的空调器的控制方法。
根据本公开实施例的另一方面，还提供了一种处理器，处理器用于运行程序，其中，程序运行时执行上述任意一项的空调器的控制方法。
上述的空调器还可以包括处理器和存储器，上述无线通讯模块和控制单元等均作为程序单元存储在存储器中，由处理器执行存储在存储器中的上述程序单元来实现相应的功能。
上述处理器中包含内核，由内核去存储器中调取相应的程序单元。内核可以设置一个或以上，通过调整内核参数来确定空调器的目标运行模式。
上述存储器可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)，存储器包括至少一个存储芯片。
本公开实施例提供了一种设备，设备包括处理器、存储器及存储在存储器上并可在处理器上运行的程序，处理器执行程序时实现以下步骤：获取待调试空调的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息；依据历史运行参数和/或区域位置信息，确定在目标区域中的待调试空调器的目标运行模式；将空调的当前运行模式切换为目标运行模式。
在一些实施例中，预先将多个空调器所服务的目标范围划分为多个区域网格，每个区域网格对应有区域网格坐标，区域位置信息至少包括：区域网格坐标和空调器的定位信息，上述处理器执行程序时，还可以实现以下步骤：通过待调试空调器中安装的无线通信模块，获取到待调试空调器所在目标区域的区域网格坐标和定位信息；通过待调试空调器中安装的无线通信模块，获取到目标区域中各个空调器的历史运行参数；通过存储器记录空调在历史预设时间段的历史运行参数。
在一些实施例中，上述处理器执行程序时，还可以实现以下步骤：根据各个空调器的历史运行参数，统计在目标区域中每个空调器使用各个运行模式的运行时长和运行次数，得到统计结果；根据统计结果，确定运行次数最多的运行模式，并将该运行模式确定为目 标运行模式；或者，根据统计结果，确定运行时长最多的运行模式，并将该运行模式确定为目标运行模式。
在一些实施例中，上述处理器执行程序时，还可以实现以下步骤：在获取待调试空调的历史运行参数和/或待调试空调器所在目标区域的区域位置信息之后，确定天气统计时长和在天气统计时长内的室外天气变化数据；判断室外天气变化数据指示的天气变化幅度是否超出预设天气变化幅度；若在天气统计时长内的室外天气变化数据指示天气变化幅度超出预设天气变化幅度，则缩减天气统计时长，以使获取到的室外天气变化数据与当前时间的天气变化幅度降低。
在一些实施例中，历史运行参数包括下述至少之一：设定温度、运行功能、风速以及扫风角度。
在一些实施例中，上述处理器执行程序时，还可以实现以下步骤：在获取待调试空调的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息之后，判断在历史预设时间段内所述待调试空调器的历史运行参数的变化幅度是否超出预设变化幅度；若在历史预设时间段内的历史运行参数的变化幅度超出预设变化幅度，则调整统计的历史预设时间段的时长，以使获取到的历史运行参数与当前时间的空调运行参数变化幅度降低。
本申请还提供了一种计算机程序产品，当在数据处理设备上执行时，适于执行初始化有如下方法步骤的程序：获取待调试空调的历史运行参数和/或所述待调试空调器所在目标区域的区域位置信息；依据历史运行参数和/或区域位置信息，确定在目标区域中的待调试空调器的目标运行模式；将空调的当前运行模式切换为目标运行模式。
上述本公开实施例序号仅仅为了描述，不代表实施例的优劣。
在本公开的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，可以为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本公开各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各 个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本公开各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅是本公开的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本公开原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本公开的保护范围。
Claims (13)
- 一种空调器的控制方法，包括：获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种；依据所述历史运行参数和所述区域位置信息中的至少一种，确定在所述目标区域中的待调试空调器的目标运行模式；将所述待调试空调器的当前运行模式切换为所述目标运行模式。
- 根据权利要求1所述的控制方法，还包括：获取位于所述待调试空调器所在目标区域的多个空调器的历史运行参数。
- 根据权利要求2所述的控制方法，还包括：预先将多个空调器所服务的目标范围划分为多个区域网格，每个所述区域网格对应有区域网格坐标，所述区域位置信息至少包括：区域网格坐标和空调器的定位信息。
- 根据权利要求3所述的控制方法，所述获取待调试空调器的历史运行参数包括：通过所述待调试空调器中安装的无线通信模块，获取到所述待调试空调器所在目标区域的区域网格坐标和定位信息；通过所述待调试空调器中安装的无线通信模块，获取到所述目标区域中各个空调器的历史运行参数。
- 根据权利要求4所述的控制方法，其中，确定在所述目标区域中的待调试空调器的目标运行模式的步骤，包括：根据所述各个空调器的历史运行参数，统计在所述目标区域中每个空调器使用各个运行模式的运行时长和运行次数，得到统计结果；根据所述统计结果，确定运行次数最多的运行模式，并将该运行模式确定为所述目标运行模式；或者，根据所述统计结果，确定运行时长最多的运行模式，并将该运行模式确定为所述目标运行模式。
- 根据权利要求1至5中任意一项所述的控制方法，其中，所述历史运行参数包括下述至少之一：设定温度、运行功能、风速以及扫风角度。
- 根据权利要求1至5中任意一项所述的控制方法，其中，在获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种之后，所述 控制方法还包括：确定天气统计时长和在所述天气统计时长内的室外天气变化数据；判断所述室外天气变化数据指示的天气变化幅度是否超出预设天气变化幅度；若在天气统计时长内的室外天气变化数据指示天气变化幅度超出所述预设天气变化幅度，则缩减天气统计时长，以使获取到的室外天气变化数据与当前时间的天气变化幅度降低。
- 根据权利要求1至5中任意一项所述的控制方法，其中，在获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种之后，所述控制方法还包括：判断在历史预设时间段内所述待调试空调器的历史运行参数的变化幅度是否超出预设变化幅度；若在历史预设时间段内的历史运行参数的变化幅度超出预设变化幅度，则调整统计的历史预设时间段的时长，以使获取到的历史运行参数与当前时间的空调运行参数变化幅度降低。
- 一种空调器的控制装置，包括：获取单元，配置为获取待调试空调器的历史运行参数和所述待调试空调器所在目标区域的区域位置信息中的至少一种；确定单元，配置为依据所述历史运行参数和所述区域位置信息中的至少一种，确定在所述目标区域中的待调试空调器的目标运行模式；切换单元，配置为将所述待调试空调器的当前运行模式切换为所述目标运行模式。
- 一种空调运行系统，应用于权利要求1所述的空调器的控制方法，包括：服务器，用于获取各个空调器的运行模式和定位信息；多个空调器，分别与所述服务器连接；其中，每个所述空调器中至少包含一无线通讯模块，以将记录空调的运行参数发送至所述服务器中，所述服务器依据所述运行参数、各个空调器的运行模式和定位信息确定所述空调器所在的目标区域，并确定出所述空调器在目标区域中的目标运行模式。
- 根据权利要求10所述的空调运行系统，其中，所述空调器还包括：控制单元，用于在当前运行模式与所述目标运行模式不相同时，将所述当前运行 模式调整为所述目标运行模式。
- 一种存储介质，其中，所述存储介质用于存储程序，其中，所述程序在被处理器执行时控制所述存储介质所在设备执行权利要求1至8中任意一项所述的空调器的控制方法。
- 一种处理器，其中，所述处理器用于运行程序，其中，所述程序运行时执行权利要求1至8中任意一项所述的空调器的控制方法。
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910257657.9 | 2019-04-01 | ||
| CN201910257657.9A CN109974248B (zh) | 2019-04-01 | 2019-04-01 | 空调器的控制方法和空调运行系统 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2020199645A1 true WO2020199645A1 (zh) | 2020-10-08 |
Family
ID=67082193
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2019/125053 WO2020199645A1 (zh) | 2019-04-01 | 2019-12-13 | 空调器的控制方法和空调运行系统 |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN109974248B (zh) |
| WO (1) | WO2020199645A1 (zh) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109974248B (zh) * | 2019-04-01 | 2020-08-11 | 珠海格力电器股份有限公司 | 空调器的控制方法和空调运行系统 |
| CN110726223B (zh) * | 2019-08-28 | 2020-11-17 | 珠海格力电器股份有限公司 | 一种温度控制方法、装置、终端及计算机可读介质 |
| CN110696587B (zh) * | 2019-09-24 | 2021-06-25 | 中国第一汽车股份有限公司 | 一种空调控制方法、系统和车辆 |
| CN111059718B (zh) * | 2019-11-13 | 2021-10-08 | 珠海格力电器股份有限公司 | 一种空调控制方法、终端及计算机可读介质 |
| CN112859950B (zh) * | 2019-11-26 | 2022-08-02 | 佛山市云米电器科技有限公司 | 温控设备控制方法、系统、控制设备及可读存储介质 |
| CN111271830A (zh) * | 2019-12-24 | 2020-06-12 | 宁波奥克斯电气股份有限公司 | 一种空调自动调节方法、系统、空调器及计算机可读存储介质 |
| CN111121237B (zh) * | 2019-12-27 | 2021-08-10 | 广东美的白色家电技术创新中心有限公司 | 空调设备及其控制方法、服务器、计算机可读存储介质 |
| CN112303850A (zh) * | 2020-10-29 | 2021-02-02 | 珠海格力电器股份有限公司 | 空调的控制方法及装置 |
| CN114963459B (zh) * | 2021-02-20 | 2023-10-20 | 海信集团控股股份有限公司 | 一种热舒适度调节方法及其设备 |
| CN113268658A (zh) * | 2021-04-25 | 2021-08-17 | 青岛海尔空调器有限总公司 | 用于空调的功能推送方法、装置及空调 |
| CN113298358A (zh) * | 2021-04-29 | 2021-08-24 | 青岛海尔科技有限公司 | 对应关系的确定方法及装置、存储介质及电子装置 |
| CN113531818B (zh) * | 2021-06-21 | 2022-12-23 | 青岛海尔空调器有限总公司 | 用于空调的运行模式推送方法及装置、空调 |
| CN114279062A (zh) * | 2021-12-24 | 2022-04-05 | 珠海格力电器股份有限公司 | 空调参数自动调节方法及空调 |
| CN114484809A (zh) * | 2022-01-07 | 2022-05-13 | 青岛海尔空调器有限总公司 | 用于确定空调器模式的方法及系统、装置、服务器、介质 |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011247435A (ja) * | 2010-05-21 | 2011-12-08 | Panasonic Electric Works Co Ltd | 空調システム |
| CN103982982A (zh) * | 2014-05-05 | 2014-08-13 | 美的集团股份有限公司 | 空调器的控制方法和空调器 |
| CN104596035A (zh) * | 2015-01-06 | 2015-05-06 | 广东美的制冷设备有限公司 | 基于地理位置的空调控制器匹配方法和系统及移动终端 |
| CN104697113A (zh) * | 2015-03-05 | 2015-06-10 | 美的集团股份有限公司 | 空调器及其控制方法 |
| CN104864548A (zh) * | 2015-04-10 | 2015-08-26 | 海信集团有限公司 | 一种空调运行的控制方法及系统 |
| CN105864961A (zh) * | 2016-03-31 | 2016-08-17 | 广东美的制冷设备有限公司 | 空调器的控制方法、控制装置和空调器 |
| CN105910232A (zh) * | 2016-04-29 | 2016-08-31 | 广东美的制冷设备有限公司 | 基于邻近空调设定学习的空调控制方法、系统及空调 |
| CN107388479A (zh) * | 2017-06-22 | 2017-11-24 | 珠海格力电器股份有限公司 | 一种空调控制方法、装置及空调 |
| CN107726548A (zh) * | 2017-09-30 | 2018-02-23 | 广东美的制冷设备有限公司 | 空调器控制方法、电子设备和计算机可读存储介质 |
| CN108548285A (zh) * | 2018-03-05 | 2018-09-18 | 珠海格力电器股份有限公司 | 空调器的控制方法和装置 |
| CN109974248A (zh) * | 2019-04-01 | 2019-07-05 | 珠海格力电器股份有限公司 | 空调器的控制方法和空调运行系统 |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101273586B1 (ko) * | 2006-06-23 | 2013-06-11 | 삼성전자주식회사 | 에어컨 스케줄 자동 생성시스템 |
| CN102944686B (zh) * | 2012-11-26 | 2013-07-10 | 深圳市开立科技有限公司 | 具有后台控制系统的血液分析仪及其控制方法 |
| CN106382713A (zh) * | 2016-08-29 | 2017-02-08 | 珠海格力电器股份有限公司 | 空调及其控制方法、空调遥控设备及其遥控方法、以及空调系统 |
| CN106871365B (zh) * | 2017-03-09 | 2019-05-31 | 美的集团股份有限公司 | 空调器的运行控制方法、装置和空调系统 |
| CN108168034B (zh) * | 2017-03-17 | 2020-02-21 | 青岛海尔空调器有限总公司 | 空调器控制方法 |
| CN109405203A (zh) * | 2017-12-28 | 2019-03-01 | 广州Tcl智能家居科技有限公司 | 一种空调智能控制方法及装置 |
-
2019
- 2019-04-01 CN CN201910257657.9A patent/CN109974248B/zh active Active
- 2019-12-13 WO PCT/CN2019/125053 patent/WO2020199645A1/zh active Application Filing
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011247435A (ja) * | 2010-05-21 | 2011-12-08 | Panasonic Electric Works Co Ltd | 空調システム |
| CN103982982A (zh) * | 2014-05-05 | 2014-08-13 | 美的集团股份有限公司 | 空调器的控制方法和空调器 |
| CN104596035A (zh) * | 2015-01-06 | 2015-05-06 | 广东美的制冷设备有限公司 | 基于地理位置的空调控制器匹配方法和系统及移动终端 |
| CN104697113A (zh) * | 2015-03-05 | 2015-06-10 | 美的集团股份有限公司 | 空调器及其控制方法 |
| CN104864548A (zh) * | 2015-04-10 | 2015-08-26 | 海信集团有限公司 | 一种空调运行的控制方法及系统 |
| CN105864961A (zh) * | 2016-03-31 | 2016-08-17 | 广东美的制冷设备有限公司 | 空调器的控制方法、控制装置和空调器 |
| CN105910232A (zh) * | 2016-04-29 | 2016-08-31 | 广东美的制冷设备有限公司 | 基于邻近空调设定学习的空调控制方法、系统及空调 |
| CN107388479A (zh) * | 2017-06-22 | 2017-11-24 | 珠海格力电器股份有限公司 | 一种空调控制方法、装置及空调 |
| CN107726548A (zh) * | 2017-09-30 | 2018-02-23 | 广东美的制冷设备有限公司 | 空调器控制方法、电子设备和计算机可读存储介质 |
| CN108548285A (zh) * | 2018-03-05 | 2018-09-18 | 珠海格力电器股份有限公司 | 空调器的控制方法和装置 |
| CN109974248A (zh) * | 2019-04-01 | 2019-07-05 | 珠海格力电器股份有限公司 | 空调器的控制方法和空调运行系统 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109974248B (zh) | 2020-08-11 |
| CN109974248A (zh) | 2019-07-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020199645A1 (zh) | 空调器的控制方法和空调运行系统 | |
| CN104864568B (zh) | 空调睡眠模式控制方法及空调 | |
| CN103383128B (zh) | 多联式中央空调的集中控制系统和控制方法 | |
| CN108829074A (zh) | 一种基于大数据的人工智能家居环境系统控制方法 | |
| WO2022262370A1 (zh) | 用于控制空调的方法、装置及空调 | |
| CN109945439A (zh) | 一种室内环境参数控制方法及系统 | |
| CN107883536B (zh) | 空调设备的参数调整方法及装置、终端 | |
| CN110991686B (zh) | 一种供热系统物联网云数据的智慧管理平台 | |
| CN108870652B (zh) | 空调制冷控制方法、装置及空调器 | |
| WO2020199672A1 (zh) | 空调器及其控制方法、控制装置、存储介质和处理器 | |
| CN113531794B (zh) | 空调机 | |
| CN105333572A (zh) | 一种基于大数据的智能空调控制系统及方法 | |
| WO2023284309A1 (zh) | 用于空调控制的方法、装置和空调 | |
| CN104848467A (zh) | 一种空调控制方法及空调 | |
| CN207849665U (zh) | 一种基于大数据分析中央空调能耗管理装置 | |
| CN107676937A (zh) | 空调器控制方法、装置、系统和计算机可读存储介质 | |
| CN110736231A (zh) | 空调控制方法、装置、空调、存储介质以及处理器 | |
| WO2022267671A1 (zh) | 用于空调的运行模式推送方法及装置、空调 | |
| CN109883016B (zh) | 一种空气舒适度调节方法和设备 | |
| WO2021238108A1 (zh) | 一种除湿控制方法、装置及除湿设备 | |
| CN111258357B (zh) | 环境分布建立方法、智能设备、清洁机器人及存储介质 | |
| CN110262265A (zh) | 基于智能家居操作系统的室内环境调节方法及装置 | |
| CN104633850A (zh) | 一种控制空调的方法及云端服务器 | |
| CN209086697U (zh) | 基于大数据的人工智能家居环境管理系统 | |
| CN112944624B (zh) | 用于空调控制的方法和空调 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 19923031 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 19923031 Country of ref document: EP Kind code of ref document: A1 |