CN114484752A - Control method, device, storage medium and computer program product of air conditioner - Google Patents
Control method, device, storage medium and computer program product of air conditioner Download PDFInfo
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- CN114484752A CN114484752A CN202210118089.6A CN202210118089A CN114484752A CN 114484752 A CN114484752 A CN 114484752A CN 202210118089 A CN202210118089 A CN 202210118089A CN 114484752 A CN114484752 A CN 114484752A
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004590 computer program Methods 0.000 title claims abstract description 34
- 238000007405 data analysis Methods 0.000 claims abstract description 31
- 238000012216 screening Methods 0.000 claims description 33
- 238000004378 air conditioning Methods 0.000 claims description 9
- 230000006870 function Effects 0.000 abstract description 23
- 238000005265 energy consumption Methods 0.000 abstract description 7
- 239000002699 waste material Substances 0.000 abstract description 7
- 238000010438 heat treatment Methods 0.000 abstract description 2
- 230000001276 controlling effect Effects 0.000 description 10
- 230000001954 sterilising effect Effects 0.000 description 7
- 238000004659 sterilization and disinfection Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000001914 filtration Methods 0.000 description 3
- 230000006855 networking Effects 0.000 description 3
- 241000700605 Viruses Species 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
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- 230000008859 change Effects 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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Abstract
The present application relates to an air conditioner control method, apparatus, storage medium and computer program product, comprising: acquiring operation parameter index information of an air conditioner; acquiring a reference operation parameter set from a big data platform server according to the operation parameter index information; performing data analysis according to the reference operation parameter set to obtain a target operation parameter combination; the method has the advantages that the operation of the functional modules of the air conditioner is controlled according to the target operation parameter combination, the problem that a user is difficult to adjust according to own experience because the user is not familiar with new functions of the air conditioner is solved, the condition that the user frequently needs to adjust the temperature in basic heating or refrigerating functions can be avoided, the air conditioner can be kept in the most comfortable state under the automatic control of the target operation parameter combination, and the waste of energy consumption is avoided.
Description
Technical Field
The present application relates to the field of intelligent household appliance control technologies, and in particular, to a method and an apparatus for controlling an air conditioner, a storage medium, and a computer program product.
Background
Along with the development of technologies such as the Internet of things and big data, more and more innovative functions are added to the household appliances, and great convenience is brought to the life of people. The air conditioner is also a key popularization and application object as a household appliance necessary for each household at present, such as intelligent remote control, fresh air and sterilization, and the carried functions are gradually increased.
At present, although the existing intelligent air conditioner has a lot of carried functions, the intelligent air conditioner cannot achieve real intelligence, and most of the time, the intelligent air conditioner needs user intervention to carry out autonomous regulation and control. However, most users cannot adjust to the proper operation parameters without being familiar with the new functions, and cannot adjust to the most comfortable state according to their own experience in adjusting the basic functions such as temperature and wind speed, and even waste of energy consumption may be caused.
Disclosure of Invention
Based on this, it is necessary to provide a control method, apparatus, storage medium and computer program product for an air conditioner, aiming at the problem that a user is unfamiliar with suitable operating parameters of the air conditioner function, and the set parameters cause environmental discomfort and waste of energy consumption.
In a first aspect, the present application provides an air conditioner control method, including:
acquiring operation parameter index information of an air conditioner;
acquiring a reference operation parameter set from a big data platform server according to the operation parameter index information;
performing data analysis according to the reference operation parameter set to obtain a target operation parameter combination;
and controlling the operation of the functional module of the air conditioner according to the target operation parameter combination.
In one embodiment, the reference operation parameter set includes an operation parameter combination and attribute information of the air conditioner consistent with the operation parameter index information; the attribute information includes at least one of area position information, model information, application scene information, service life information and affiliated time period information of the air conditioner.
In one embodiment, the operation parameter index information includes the area location information and/or the model information.
In one embodiment, the analyzing data according to the reference operation parameter set to obtain a target operation parameter combination includes:
if the air conditioner starts an automatic parameter adjusting mode, performing data analysis on the reference operation parameter set according to preset screening conditions to obtain a target operation parameter combination;
and if the air conditioner does not start the automatic parameter adjusting mode, acquiring a target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to a search instruction.
In one embodiment, the preset screening condition is determined according to the attribute information of the reference operating parameter set; the data analysis of the reference operation parameter set according to the preset screening condition to obtain a target operation parameter combination comprises the following steps:
and sequentially screening the operation parameter combinations of the reference operation parameter set according to more than two types of attribute information and the priorities corresponding to the attribute information to obtain target operation parameter combinations.
In one embodiment, the obtaining of the target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction includes:
sending the reference operation parameter set to the mobile terminal; the mobile terminal displays the operation parameter combination of the reference operation parameter set according to the attribute information of the reference operation parameter set;
receiving a target operation parameter combination returned by the mobile terminal according to the search instruction; and the search instruction is generated by the user operating the mobile terminal according to the displayed air conditioner operation parameter combination.
In a second aspect, the present application also provides an air conditioning control apparatus, the apparatus including:
the index information acquisition module is used for acquiring the index information of the operating parameters of the air conditioner;
the reference operation parameter acquisition module is used for acquiring a reference operation parameter set from the big data platform server according to the operation parameter index information;
the target operation parameter acquisition module is used for carrying out data analysis according to the reference operation parameter set to obtain a target operation parameter combination;
and the air conditioner control module is used for controlling the operation of the functional module of the air conditioner according to the target operation parameter combination.
In a third aspect, the present application further provides an air conditioner. The air conditioner comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method.
According to the control method, the device, the storage medium and the computer program product of the air conditioner, the reference operation parameter set corresponding to the air conditioner operation parameter index information is obtained through the networking of the big data platform server, and then the data analysis is carried out on the reference operation parameter set, so that the target operation parameters required by the operation of each functional module of the air conditioner are obtained, the air conditioner is controlled to operate according to the parameters, the problem that a user is not familiar with the function adjustment of the air conditioner is solved, the air conditioner can be kept in the most comfortable state, and the waste of energy consumption is avoided.
Drawings
FIG. 1 is a diagram illustrating an exemplary environment in which an air conditioning control method may be implemented;
FIG. 2 is a flowchart illustrating an exemplary method for controlling an air conditioner;
FIG. 3 is a flowchart illustrating a method for controlling an air conditioner according to another embodiment;
FIG. 4 is a flowchart illustrating an air conditioning control method according to another embodiment;
FIG. 5 is a flowchart illustrating a method for controlling an air conditioner according to another embodiment;
FIG. 6 is a block diagram of an embodiment of an air conditioning control apparatus;
FIG. 7 is a diagram illustrating an internal structure of an air conditioner according to an embodiment;
fig. 8 is an exploded view of the structure of an air conditioner in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
Along with the development of technologies such as the Internet of things and big data, more and more innovative functions are added to the household appliances, and great convenience is brought to the life of people. The air conditioner is also a key popularization and application object as a household appliance necessary for each household at present, such as intelligent remote control, fresh air and sterilization, and the carried functions are gradually increased. Although the existing intelligent air conditioner has more and more functions, the intelligent air conditioner cannot achieve real intelligence, and most functional modules need to be automatically regulated and controlled by user intervention. However, most users are not familiar with new functions, and cannot adjust to proper operation parameters, so that the best use effect is not achieved. Secondly, in the adjustment of basic functions of heating, refrigeration and the like of the air conditioner, frequent temperature adjustment of a user often occurs, adjustment to the most comfortable state cannot be guaranteed according to self experience, and even energy consumption waste can be caused.
Therefore, the air conditioner control method includes the steps that the air conditioner obtains a reference operation parameter set corresponding to operation parameter index information through a large data platform server in a networking mode, data analysis is conducted on the reference operation parameter set, optimal operation parameters required by operation of all functional modules of the air conditioner are obtained, the air conditioner is controlled to operate according to the parameters, the problem that users are not familiar with air conditioner function adjustment difficulty is solved, the air conditioner can be kept in the most comfortable state, and energy consumption waste is avoided.
The air conditioner control method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the air conditioner 102 communicates with the big data platform server 104 over a network. The data storage system may store data that the big data platform server 104 needs to process. The data storage system may be integrated on the big data platform server 104, or may be placed on the cloud or other network server. The air conditioner 102 acquires a reference operation parameter set from the big data platform server 104 according to the operation parameter index information, and correspondingly controls the operation of the functional module of the air conditioner after performing data analysis according to the reference operation parameter set. The big data platform server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
Specifically, after the air conditioner 102 communicates with the big data platform server 104 through the network, the operation parameter combination and the attribute information of the air conditioner are uploaded to the big data platform server 104. It can be understood that the big data platform server 104 stores all the operation parameter combinations and attribute information uploaded when the networked air conditioners 102 are turned on or the operation parameters are adjusted. The running parameter combination is the running parameters of all the functional modules of the air conditioner during running, the number of the running parameters is not fixed, and the running parameters are determined according to the specific conditions during running. The attribute information includes inherent attribute information of the air conditioner and related attribute information at runtime, the inherent attribute information may include, for example, area location information, model information, brand information, application scenario information, and service life information of the air conditioner, and the related attribute information at runtime may include, for example, time period information to which runtime belongs, application time length of each operation parameter, and the like. In addition, the attribute information may be recorded by an installer and stored in the air conditioner 102 when the air conditioner 102 is installed, or may be acquired in real time by using an external device and input to the air conditioner 102, for example, the area location information may be acquired in real time by a locator. In addition, the attribute information can be adjusted through the mobile terminal in the using process of the air conditioner.
Further, after the big data platform server 104 receives an operation parameter combination and attribute information uploaded by an air conditioner, a corresponding relationship between the operation parameter combination and the attribute information can be established, and the corresponding relationship between the operation parameter combination and the attribute information is stored in a preset air conditioner operation parameter database, so that the subsequent air conditioner 102 can obtain a reference operation parameter set.
In one embodiment, as shown in fig. 2, an air conditioner control method is provided, which is described by taking the method as an example applied to the air conditioner 102 in fig. 1, and includes the following steps:
step 202: and acquiring the operating parameter index information of the air conditioner.
Specifically, the operation parameter index information is an index basis for the air conditioner to be tuned to acquire the operation parameters of other air conditioners from the big data platform server as a reference. It can be understood that the operation parameter index information is selected from the attribute information of the air conditioner to be tuned, and in this embodiment, in order to make the obtained operation parameters of other air conditioners have a reference value, at least one of the intrinsic attribute information of the air conditioner to be tuned is preferably used as the operation reference index information.
Step 204: and acquiring a reference operation parameter set from the big data platform server according to the operation parameter index information.
Specifically, a reference operation parameter set is obtained from a preset air conditioner operation parameter database of the big data platform server according to the operation parameter index information. Since the preset air conditioner operation parameter database stores the corresponding relationship between the operation parameter combination and the attribute information, in one embodiment, the obtained reference operation parameter set includes the operation parameter combination and the attribute information of other air conditioners which are consistent with the operation parameter index information.
In one embodiment, the operation parameter index information includes area location information and/or model information of the air conditioner to be tuned. Then step 204 may be to obtain the operation parameter combination and attribute information of other air conditioners consistent with the area location information as a reference operation parameter set; or acquiring the operation parameter combination and attribute information of other air conditioners consistent with the model information as a reference operation parameter set; and acquiring the operation parameter combination and attribute information of other air conditioners consistent with the area position information and the model information as a reference operation parameter set.
It can be understood that the operation parameters of other air conditioners with the same area location information and/or model information have higher adaptation rate for the user of the air conditioner to be adjusted to set the operation parameters as a reference. The area position information of the air conditioner represents the geographical position of the air conditioner, the representation form of the area position information is not unique, and the area position information can be the longitude and latitude information after positioning or divided geographical position areas. When longitude and latitude information is adopted for representation, the air conditioner with the same area position information can be understood as the air conditioner within a preset radius from the longitude and latitude information of the air conditioner. When the geographical location area is used for representation, the air conditioners with the same area location information can be understood as being located in the same geographical location area, and the specific division of the area location information can be divided according to provincial, urban and district level area locations, or can be divided according to a cell range. Secondly, the model information of the air conditioner represents the applicable scene, function and structure of the air conditioner, and can be obtained according to the national unified standard, the basic format is '123-456-78', each position represents different meanings, for example, the 1 st bit represents the product code number, the 2 nd bit represents the structural form of the air conditioner, the 3 rd bit represents the function, the 4 th bit represents the refrigeration capacity, and the like, and the description is omitted.
In other embodiments, when there are no other air conditioners in the preset air conditioner operation parameter database that are consistent with the model information of the air conditioner to be adjusted or the number of the other air conditioners is smaller than the preset number threshold, the operation parameter combination and the attribute information of the other air conditioners that are closest to the model information of the air conditioner to be adjusted are obtained as the reference operation parameter set. The determination mode of other air conditioners closest to the information of the model of the air conditioner to be adjusted is not unique. For example, as can be seen from the basic format of the model information, the model information is composed of two or more digits or letters, and the probability of the same proximity is higher for positions closer to the front, the closest other air conditioner may be determined according to the maximum number of the digits or letters corresponding to the same number for each position in the model information, or the closest other air conditioner may be determined according to positions closer to the front in the model information.
Step 206: and analyzing data according to the reference operation parameter set to obtain a target operation parameter combination.
Specifically, after a reference operation parameter set including an operation parameter combination and attribute information is obtained, data analysis is performed on the reference operation parameter set, and a target operation parameter combination is obtained by screening the reference operation parameter set. The mode of obtaining the target operation parameter combination can be determined according to whether the user starts an automatic parameter adjusting mode of the air conditioner to be adjusted. If the automatic parameter adjusting mode is started, the air conditioner to be adjusted performs automatic analysis according to the reference operation parameter set to obtain a target operation parameter combination; and if the automatic parameter adjusting mode is not started, acquiring a target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction. The automatic parameter adjusting mode is whether to allow the operation parameters to be automatically adjusted through the air conditioner, and the mobile terminal can be set to be turned on or turned off.
Step 208: and controlling the operation of the functional module of the air conditioner according to the target operation parameter combination.
It can be understood that the target operation parameter combination includes operation parameters of each functional module of the air conditioner, and the operation of the corresponding functional module can be controlled according to the operation parameters. The functional modules of the air conditioner include but are not limited to a fan module, a compressor module, a drying and dehumidifying module, a fresh air module, a sterilization module and the like. Correspondingly, the operation parameters include, but are not limited to, a wind speed gear, a wind direction turning state, a fresh air switch state, an ultraviolet UVC sterilization function operation state and the like.
According to the air conditioner control method, the reference operation parameter set corresponding to the operation parameter index information of the air conditioner to be adjusted is obtained through the networking of the big data platform server, data analysis is carried out on the reference operation parameter set, operation parameters required by operation of all functional modules of the air conditioner are obtained, the air conditioner is controlled to operate according to the parameters, the problem that users are not familiar with air conditioner function adjustment difficulty is solved, the air conditioner can be kept in the most comfortable state, and energy consumption waste is avoided.
In one embodiment, as shown in fig. 3, the step 206 of performing data analysis according to the reference operation parameter set to obtain the target operation parameter combination includes:
step 302: and if the air conditioner starts the automatic parameter adjusting mode, performing data analysis on the reference operation parameter set according to preset screening conditions to obtain a target operation parameter combination. The specific content of the preset screening condition is not unique and can be set according to the actual situation. In one embodiment, the preset screening condition is determined according to attribute information of the reference operation parameter set.
The preset screening condition is the basis for screening the target operation parameter combination from the reference operation parameter set. Since the reference operating parameter set is determined by the operating parameter index information, the preset screening condition may be determined according to attribute information of the reference operating parameter set other than the operating parameter index information. For example, the information may be at least one of application scenario information, service life information, and belonging time period information. It is understood that the application scenario information may include the area of the usage environment, the number of the residents, the age of the residents, and the like. The time slot information is in which time slot of the preset time slots, the setting mode of the preset time slots is not unique, and for example, the time slots can be divided according to one day, wherein the time slots are from 7:30 to 12:30 for the morning time slot, from 12:30 to 18:30 for the afternoon time slot, from 18:30 to 24:00 for the night time slot, and from 24:00 to 7:30 for the sleep time slot. In addition, the time period information may further include a time for uploading the operation parameter to the server.
Specifically, when the preset screening condition is the use environment area, an operation parameter combination with a difference value of the use environment area of the air conditioner to be adjusted within a preset area difference value is selected from the reference operation parameter set as a target operation parameter combination. The value of the preset area difference is not unique, and can be set according to the actual screening condition, for example, the value can be set to be +/-10 square meters, which is not limited herein. And when the preset screening condition is the service life information, selecting an operation parameter combination with the difference value of the service life information of the air conditioner to be adjusted within the preset service life difference value from the reference operation parameter set as a target operation parameter combination. The value of the preset life difference is not unique, and can be set according to the actual screening condition, for example, half a year or a year, without limitation. And when the preset screening condition is the affiliated time period information, selecting an operation parameter combination consistent with the affiliated time period information of the air conditioner to be adjusted from the reference operation parameter set as a target operation parameter combination.
In addition, when the air conditioner uploads the operation parameter combination and the attribute information to the big data platform server, the big data platform server correspondingly records the uploading time and stores the uploading time as one item of the attribute information into the preset air conditioner operation parameter database. In other embodiments, the preset filtering condition may also be an upload time. Step 302 may be selecting an operation parameter combination with a difference between the upload time and the current time within a preset time threshold from the reference operation parameter set as a target operation parameter combination. The value of the preset time threshold is not unique, and may be set according to the number of the selected operation parameter combinations, for example, one hour, one day, one year, or two years, which is not limited herein. In addition, the preset screening condition may be the belonging time period information and the uploading time, and an operation parameter combination which is consistent with the belonging time period information of the air conditioner to be adjusted and has a difference value between the uploading time and the current time within a preset time threshold is selected from the reference operation parameter set as a target operation parameter combination.
In other embodiments, the preset screening condition may also be determined according to statistical information obtained by counting the operation parameter combinations in the reference operation parameter set, for example, the application times and the application duration of the operation parameter combinations. Specifically, when the preset screening condition is the number of times of application of the operation parameter combination, the operation parameter combination with the highest number of times of application is selected from the reference operation parameter set as the target operation parameter combination. And when the preset screening condition is the application time length of the operation parameter combination, selecting the operation parameter combination with the longest application time length from the reference operation parameter set as the target operation parameter combination.
It is understood that when only one preset screening condition is adopted to obtain only one proper target operation parameter combination, more than two preset screening conditions can be adopted to carry out combined screening. In one embodiment, the preset filtering condition includes more than two kinds of attribute information and priorities corresponding to the attribute information. In step 302, performing data analysis on the reference operation parameter set according to the preset screening condition to obtain a target operation parameter combination, including: and screening the operation parameter combinations of the reference operation parameter set in sequence according to more than two kinds of attribute information and the priorities corresponding to the attribute information to obtain the target operation parameter combinations.
Specifically, when the preset screening condition includes two or more types of the attribute information and the statistical information, a priority may be set for each of the attribute information and the statistical information, and then the operation parameter combinations of the reference operation parameter set are sequentially screened according to the priorities corresponding to the attribute information and the statistical information, so as to obtain the target operation parameter combination. For example, when the preset filtering condition includes the usage environment area, the time zone information to which the application times of the operation parameter combination are combined, the usage environment area is set to the first priority, the time zone information to which the application times of the operation parameter combination are set to the second priority, and the application times of the operation parameter combination are set to the third priority. And selecting an operation parameter combination with the difference value of the using environment area of the air conditioner to be adjusted within the preset area difference value from the reference operation parameter set to obtain an operation parameter combination preliminarily screened. And selecting an operation parameter combination consistent with the time period information of the air conditioner to be adjusted from the preliminarily screened operation parameter combinations to obtain a further screened operation parameter combination. And finally, selecting the operation parameter combination with the highest application frequency from the operation parameter combinations which are further screened as the target operation parameter combination.
In addition, when the time period to which the air conditioner to be adjusted belongs changes, the step 204 to the step 208 need to be executed again, the updated reference operation parameter set is obtained, the updated target operation parameter combination is obtained according to the updated reference operation parameter set, and the function module of the air conditioner to be adjusted is controlled to operate according to the updated target operation parameter combination.
Step 304: and if the air conditioner does not start the automatic parameter adjusting mode, acquiring a target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction.
When the automatic parameter adjusting mode of the air conditioner to be adjusted is not started, the user can adjust the parameters only through the operation of the mobile terminal, the user can operate the mobile terminal according to the experience of the user to adjust the operation parameters, the air conditioner can also send the acquired reference operation parameter set to the mobile terminal to serve as a reference, and then the user operates the mobile terminal according to the reference operation parameter set to adjust the operation parameters.
In one embodiment, as shown in fig. 4, the obtaining of the target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction in step 304 includes:
step 402: sending the reference operation parameter set to the mobile terminal; and the mobile terminal displays the operation parameter combination of the reference operation parameter set according to the attribute information of the reference operation parameter set.
The air conditioner to be adjusted and parametered sends the acquired reference operation parameter set to the mobile terminal, and it can be understood that the mobile terminal can be a terminal with a display module, and after receiving the reference operation parameter set, the mobile terminal can display the operation parameter combination in the display module in a classified manner according to the attribute information of the operation parameter set, so that a user can conveniently select the classified operation parameter combination. Or displaying all settable operation parameter combinations in the display module, and attaching labels with attribute information, wherein the user can select the operation parameter combinations according to the labels of the attribute information.
Step 404: receiving a target operation parameter combination returned by the mobile terminal according to the search instruction; and the search instruction is generated by the user operating the mobile terminal according to the displayed operation parameter combination.
And the user selects the displayed operation parameter combination on the display module to obtain a target operation parameter group and feeds the target operation parameter group back to the air conditioner to be adjusted, so that the air conditioner to be adjusted controls the function module to operate according to the target operation parameter combination.
In an embodiment, the steps of the air conditioner control method provided by the present application for controlling the operation of the air conditioner are explained by taking the flowchart shown in fig. 5 as an example:
step 1: and finishing the installation and debugging of the air conditioner.
And 2, step: the air conditioner is started, and the air conditioner main control system module is connected with the network and normally runs;
and step 3: positioning the air conditioner in the X area according to the positioning function on the air conditioner master control system;
and 4, step 4: the air conditioner master control system acquires air conditioner operation parameters of all A types in the X region from a networked big data platform according to the type A of the current air conditioner;
and 5: the air conditioner master control system classifies the acquired air conditioner operation parameters according to the following conditions but not limited to the following conditions:
the same type of air conditioner uses different room areas;
all operating parameter classifications for air conditioners of the same model:
a. a wind speed gear;
b. a wind direction turning state;
c. the fresh air is in an on-off state;
d. operating state of ultraviolet UVC sterilization function;
the number of user uses of different operating parameters at different time periods;
the current service life of the air conditioner of the same model;
step 6: is the air conditioner main control system turned on the smart mode (auto-tune mode)?
If not, the user selects the air conditioner operation parameters required by the user to operate through an intelligent mobile terminal such as a mobile phone;
and the air conditioner master control system intelligently selects the best matching operation parameter of the air conditioners in the same type in the X area according to the following conditions and operates the parameter:
a. the air conditioner has the closest use area;
b. belongs to the S time period;
c. the air conditioners using the operation parameters are maximum;
and 7: when the time period in one day is changed from S to S1, such as in the afternoon evening, the air conditioner main control system readjusts the operation parameters;
and 8: and (5) shutting down the air conditioner.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides an air conditioner control device for realizing the air conditioner control method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so specific limitations in one or more embodiments of the air conditioning control device provided below can be referred to the limitations on the air conditioning control method in the foregoing, and details are not described herein again.
In one embodiment, as shown in fig. 6, there is provided an air conditioning control apparatus 600 including: an index information obtaining module 610, a reference operation parameter obtaining module 620, a target operation parameter obtaining module 630 and an air conditioner control module 640, wherein:
an index information obtaining module 610 for obtaining index information of operation parameters of the air conditioner;
a reference operation parameter obtaining module 620, configured to obtain a reference operation parameter set from the big data platform server according to the operation parameter index information;
a target operation parameter obtaining module 630, configured to perform data analysis according to the reference operation parameter set, so as to obtain a target operation parameter combination;
and the air conditioner control module 640 is used for controlling the operation of the functional modules of the air conditioner according to the target operation parameter combination.
In an embodiment, the reference operation parameter obtaining module 620 is further configured to obtain an operation parameter combination and attribute information of the air conditioner consistent with the area location information and/or the model information from the big data platform server, so as to obtain a reference operation parameter set.
In an embodiment, the target operation parameter obtaining module 630 is further configured to, when the air conditioner has started the automatic parameter adjusting mode, perform data analysis on the reference operation parameter set according to a preset screening condition to obtain a target operation parameter combination; and when the automatic parameter adjusting mode of the air conditioner is not started, acquiring a target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction.
In an embodiment, the target operation parameter obtaining module 630 is further configured to sequentially filter the operation parameter combinations of the reference operation parameter set according to more than two types of attribute information and priorities corresponding to the attribute information, so as to obtain the target operation parameter combinations.
In one embodiment, the target operation parameter obtaining module 630 is further configured to send the reference operation parameter set to the mobile terminal; the mobile terminal displays the operation parameter combination of the reference operation parameter set according to the attribute information of the reference operation parameter set; the mobile terminal is also used for receiving a target operation parameter combination returned by the mobile terminal according to the search instruction; and the search instruction is generated by the user operating the mobile terminal according to the displayed air conditioner operation parameter combination.
The respective modules in the air conditioner control device may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, an air conditioner is provided, and the internal structure of the air conditioner may be as shown in fig. 7. The air conditioner comprises a processor, a memory, a communication interface and a display screen which are connected through a system bus. Wherein, the processor of the air conditioner is used for providing calculation and control capability. The memory of the air conditioner comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the air conditioner is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement an air conditioning control method. The display of the computer device may be a liquid crystal display or an electronic ink display.
Those skilled in the art will appreciate that the configuration shown in fig. 7 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation of the air conditioner to which the present application is applied, and that a particular computer device may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In one embodiment, an air conditioner is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring operation parameter index information of an air conditioner;
acquiring a reference operation parameter set from a big data platform server according to the operation parameter index information;
performing data analysis according to the reference operation parameter set to obtain a target operation parameter combination;
and controlling the operation of the functional module of the air conditioner according to the target operation parameter combination.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and acquiring the running parameter combination and attribute information of the air conditioner consistent with the regional position information and/or the model information from the big data platform server to obtain a reference running parameter set.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the air conditioner starts the automatic parameter adjusting mode, performing data analysis on the reference operation parameter set according to preset screening conditions to obtain a target operation parameter combination;
and if the air conditioner does not start the automatic parameter adjusting mode, acquiring a target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and screening the operation parameter combinations of the reference operation parameter set in sequence according to more than two kinds of attribute information and the priorities corresponding to the attribute information to obtain the target operation parameter combinations.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
sending the reference operation parameter set to the mobile terminal; the mobile terminal displays the operation parameter combination of the reference operation parameter set according to the attribute information of the reference operation parameter set;
receiving a target operation parameter combination returned by the mobile terminal according to the search instruction; and the search instruction is generated by the user operating the mobile terminal according to the displayed air conditioner operation parameter combination.
In one embodiment, as shown in fig. 8, an air conditioner is provided, which includes a main system module, an ultraviolet sterilization and virus removal module, a humidity sensor, and a blower (not shown). The main system module comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the steps of the air conditioner control method in the embodiment and control the operation of the ultraviolet sterilization and virus removal module, the humidity sensor, the fan and other functional modules. In addition, the air conditioner also comprises a panel body, a left side plate, a right side plate, a panel and other structures.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
In one embodiment, a computer program product or computer program is provided that includes computer instructions stored in a computer-readable storage medium. The computer instructions are read by a processor of a computer device from a computer-readable storage medium, and the computer instructions are executed by the processor to cause the computer device to perform the steps in the above-mentioned method embodiments.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An air conditioner control method is characterized by comprising the following steps:
acquiring operation parameter index information of an air conditioner;
acquiring a reference operation parameter set from a big data platform server according to the operation parameter index information;
performing data analysis according to the reference operation parameter set to obtain a target operation parameter combination;
and controlling the operation of the functional module of the air conditioner according to the target operation parameter combination.
2. The air conditioner control method according to claim 1, wherein the reference operation parameter set includes an operation parameter combination and attribute information of the air conditioner consistent with the operation parameter index information; the attribute information includes at least one of area position information, model information, application scene information, service life information and affiliated time period information of the air conditioner.
3. The air conditioner control method according to claim 2, wherein the operation parameter index information includes the zone location information and/or the model information.
4. The air conditioner control method according to claim 3, wherein the performing data analysis according to the reference operation parameter set to obtain a target operation parameter combination comprises:
if the air conditioner starts an automatic parameter adjusting mode, performing data analysis on the reference operation parameter set according to preset screening conditions to obtain a target operation parameter combination;
and if the air conditioner does not start the automatic parameter adjusting mode, acquiring a target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to a search instruction.
5. The air conditioner control method according to claim 4, wherein the preset screening condition is determined according to attribute information of the reference operation parameter set; the data analysis of the reference operation parameter set according to the preset screening condition to obtain a target operation parameter combination comprises the following steps:
and sequentially screening the operation parameter combinations of the reference operation parameter set according to more than two types of attribute information and the priorities corresponding to the attribute information to obtain target operation parameter combinations.
6. The air conditioner control method according to claim 4, wherein the obtaining of the target operation parameter combination obtained by performing data analysis on the reference operation parameter set according to the search instruction comprises:
sending the reference operation parameter set to the mobile terminal; the mobile terminal displays the operation parameter combination of the reference operation parameter set according to the attribute information of the reference operation parameter set;
receiving a target operation parameter combination returned by the mobile terminal according to the search instruction; and the search instruction is generated by the user operating the mobile terminal according to the displayed air conditioner operation parameter combination.
7. An air conditioning control apparatus, characterized in that the apparatus comprises:
the index information acquisition module is used for acquiring the index information of the operating parameters of the air conditioner;
the reference operation parameter acquisition module is used for acquiring a reference operation parameter set from the big data platform server according to the operation parameter index information;
the target operation parameter acquisition module is used for carrying out data analysis according to the reference operation parameter set to obtain a target operation parameter combination;
and the air conditioner control module is used for controlling the operation of the functional module of the air conditioner according to the target operation parameter combination.
8. An air conditioner comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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