CN110864400A - Control method and device of air conditioning equipment and air conditioning equipment - Google Patents
Control method and device of air conditioning equipment and air conditioning equipment Download PDFInfo
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- CN110864400A CN110864400A CN201911182706.3A CN201911182706A CN110864400A CN 110864400 A CN110864400 A CN 110864400A CN 201911182706 A CN201911182706 A CN 201911182706A CN 110864400 A CN110864400 A CN 110864400A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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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
- F24F11/88—Electrical aspects, e.g. circuits
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
Abstract
The application provides a control method and a control device of air conditioning equipment and the air conditioning equipment, wherein the method comprises the following steps: the method comprises the steps of obtaining a plurality of training samples, clustering according to similarity among the training samples to determine the training samples belonging to the same category as belonging to the same operation scene, determining configuration information of the corresponding operation scene according to control strategies, execution time and operation states of the training samples belonging to the same operation scene, controlling the air conditioning equipment to operate according to the configuration information of the operation scenes, recommending personalized scenes and configuration information according to samples generated by historical use data of users, achieving automatic control of the air conditioner under the operation scenes, reducing false recognition, enabling the air conditioner to be used more conveniently and intelligently, avoiding waste of electricity, and solving the problem that automatic adjustment of the air conditioning equipment cannot be achieved according to customization of different users in the prior art.
Description
Technical Field
The application relates to the technical field of intelligent household appliance control, in particular to a control method and device of air conditioning equipment and the air conditioning equipment.
Background
With the increase of the economic level of people, air conditioning equipment (e.g., air conditioners) has become an important electric appliance for homes. When the existing air conditioner is used, a user needs to manually start the air conditioner, and needs to manually shut the air conditioner when the air conditioner leaves, otherwise, a large amount of electric energy is wasted because the air conditioner is not closed in time, and meanwhile, after the air conditioner is started, the user needs to actively start an optimization or automatic adjustment function, the automatic adjustment can be carried out, and the air conditioner is not intelligent enough; in addition, customized automatic adjustment cannot be realized due to differences in living habits of each user.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present application is to provide a control method for an air conditioning device, which analyzes and acquires recommended personalized scenes and configuration information according to historical user usage data, thereby implementing automatic control of an air conditioner in each operation scene, reducing false recognition, enabling the use of the air conditioner to be more convenient and more intelligent, avoiding wasting electricity, and improving user experience.
A second object of the present application is to propose a control device of an air conditioning apparatus.
A third object of the present application is to propose an air conditioning apparatus.
A fourth object of the present application is to propose a non-transitory computer-readable storage medium.
To achieve the above object, an embodiment of a first aspect of the present application provides a control method for an air conditioning apparatus, including:
obtaining a plurality of training samples; each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation and the running state of the air conditioning equipment when the corresponding control operation is detected;
according to similarity clustering among the training samples, determining the training samples belonging to the same category as belonging to the same operation scene;
determining configuration information of corresponding operation scenes according to control strategies, execution time and operation states in training samples belonging to the same operation scene;
and controlling the air conditioning equipment to operate according to the configuration information of each operation scene.
In order to achieve the above object, an embodiment of a second aspect of the present application provides a control device for an air conditioning apparatus, including:
the acquisition module is used for acquiring a plurality of training samples; each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation and the running state of the air conditioning equipment when the corresponding control operation is detected;
the clustering module is used for clustering according to the similarity among the training samples so as to determine the training samples belonging to the same category as belonging to the same operation scene;
the determining module is used for determining the configuration information of the corresponding operation scene according to the control strategy, the execution time and the operation state in each training sample belonging to the same operation scene;
and the control module is used for controlling the air conditioning equipment to operate according to the configuration information of each operation scene.
To achieve the above object, an embodiment of a third aspect of the present application provides an air conditioning device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the control method according to the first aspect when executing the program.
In order to achieve the above object, a fourth aspect of the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the control method according to the first aspect.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
obtaining a plurality of training samples, wherein each training sample is generated according to one control operation and comprises a control strategy corresponding to a control operation instruction, execution time corresponding to the control operation, and an operation state of the air conditioning equipment when the corresponding control operation is detected, clustering is carried out according to similarity among the plurality of training samples to determine the training samples belonging to the same category as belonging to the same operation scene, configuration information of the corresponding operation scene is determined according to the control strategy, the execution time and the operation state in the training samples belonging to the same operation scene, the air conditioning equipment is controlled to operate according to the configuration information of the operation scenes, and recommended personalized scenes and configuration information are analyzed and obtained according to historical use data of a user, so that automatic control of the air conditioner under each operation scene is realized, false recognition is reduced, and the use of the air conditioner is more convenient, more intelligent, avoid wasting the electricity, promote user experience.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating another control method for an air conditioning apparatus according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a control device of an air conditioning apparatus according to an embodiment of the present application; and
fig. 4 is a schematic structural diagram of an air conditioning apparatus provided in the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
A control method, a device, and an air conditioning apparatus of an embodiment of the present application are described below with reference to the drawings.
Fig. 1 is a schematic flowchart of a control method of an air conditioning apparatus according to an embodiment of the present disclosure.
As shown in fig. 1, the method comprises the steps of:
Each training sample in this embodiment is generated by a user according to one control operation in a historical use process, and each training sample includes a control strategy indicated by a corresponding control operation, an execution time of the corresponding control operation, and an operation state of the air conditioning equipment when the corresponding control operation is detected.
And step 102, according to similarity clustering among a plurality of training samples, determining the training samples belonging to the same category as belonging to the same operation scene.
As a possible implementation manner, vectorization representation is performed on elements included in each training sample, namely a control strategy indicated by a corresponding control operation, execution time of the corresponding control operation, and an operation state of the air conditioning equipment when the corresponding control operation is detected, so as to obtain a feature vectorization representation of each training sample, similarity between any two samples in the plurality of training samples is determined by using a cosine distance, clustering is performed based on the similarity between the samples, different categories are determined according to a clustering algorithm, such as hierarchical clustering or K-means clustering, and each training sample belonging to the same category is determined as belonging to the same operation scene.
And 103, determining configuration information of the corresponding operation scene according to the control strategy, the execution time and the operation state in each training sample belonging to the same operation scene.
Specifically, determining a control strategy of a corresponding operation scene according to control strategies in training samples belonging to the same operation scene; respectively determining the effective time interval of the corresponding operation scene for each day of the cycle period according to the execution time in each training sample belonging to the same operation scene; determining a trigger condition of a corresponding operation scene according to the operation state in each training sample belonging to the same operation scene; and generating configuration information of the corresponding operation scene according to the trigger condition, the control strategy and the effective time period of each operation scene.
And 104, controlling the air conditioning equipment to operate according to the configuration information of each operation scene.
Specifically, the control method comprises the step of controlling the air conditioning equipment to execute a control strategy of a corresponding operation scene when the operation state of the air conditioning equipment is determined to meet the trigger condition of the corresponding operation scene in the effective time period of each operation scene.
Wherein the operating state comprises one or more combinations of device parameters, environmental parameters, and user characteristics.
Specifically, the number of the operation scenes may be one or more, and as a possible implementation manner, the operation scenes are identified first, specifically, an image of a current scene is acquired by using an image pickup device on the air conditioning equipment, image feature extraction is performed, a scene identification result of the image is determined, the scene identification result includes at least one scene category, shooting information when the image is acquired, and the shooting information at least includes: and one or more of the time information, the position information and the temperature information are matched according to the shooting information and at least one corresponding scene category in the scene recognition result, and the operation scene category with the highest matching degree is used as the operation scene of the image, so that the accuracy of operation scene recognition is improved.
Further, whether the current time of the air conditioning equipment is in the valid time period or not is monitored according to the identified operation scene, specifically, according to the current date, the corresponding target day in the cycle period is determined, the valid time period of the target day in the configuration information is inquired, and if the current time is in the valid time period of the target day, the current time is determined to belong to the valid time period. For example, the current date is 14 days 11 and 14 in 2019, the current time is 2 am, the target day corresponding to the current date in the cycle period is thursday, the valid period corresponding to the thursday under the family scene in the configuration information is inquired, and the valid period corresponding to the thursday at 2 am at the current time is determined to belong to the valid period of sleep corresponding to the thursday.
And if the current time is in the effective time period, whether the running state of the air conditioning equipment in the effective time period meets the triggering condition of the user-defined scene, and if the running state meets the triggering condition of the user-defined scene, executing the control strategy of the user-defined scene in the effective time period. Specifically, the operation states are different, the corresponding trigger conditions are different, and the trigger conditions are determined according to the operation states, for example, the operation states are set temperatures in equipment parameters, the current set temperature is a low-temperature operation mode, the trigger conditions of a set scene are that the low-temperature operation lasts for more than 20 minutes, and if the low-temperature operation of the air conditioning equipment is monitored to last for more than 20 minutes, the operation states are determined to be matched with the trigger conditions of the set scene; for example, the running state is an environmental parameter in the device parameters, such as light intensity in the environmental parameter, the current light intensity is 20, the triggering condition of the setting scene is that the light intensity is lower than 50, and it is determined that the running state matches the triggering condition of the setting scene; for another example, if the operating state is a user characteristic, and the current setting scene is an unattended state, and the triggering condition of the setting scene is that the unattended state exceeds 60 minutes, and if the unattended state indicated by the operating state is determined to exceed 60 minutes, it is determined that the operating state matches the triggering condition of the setting scene, the air conditioning equipment is controlled to execute the control strategy of the setting scene.
Wherein, the control strategy comprises: adjusting equipment parameters of the air conditioning equipment according to a set parameter curve, for example, an 8-hour air conditioning sleep curve, wherein the parameter curve is used for indicating the corresponding relation between the running time and the equipment parameters; and/or, according to the equipment parameter of the external equipment, adjust the equipment parameter of the air conditioning equipment, for example, under the refrigeration state, air conditioner and fan linkage run, when the fan adopts the upper and lower oscillating motion, promote the cold wind of the air conditioning equipment to scatter, then can lower the equipment parameter of the air conditioning equipment properly, this is because the fan can raise the refrigeration efficiency and effect of the air conditioning equipment through oscillating the air up and down; and/or adjusting equipment parameters of the air conditioning equipment according to the environmental parameters.
It should be noted that the trigger condition of the operation scenario may be a combination of the multiple trigger conditions, and details of the processing method in multiple combination modes are not repeated in this embodiment.
In the control method of the air conditioning equipment of the embodiment, a plurality of training samples are obtained, wherein each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation, and the operation state of the air conditioning equipment when the corresponding control operation is detected, the training samples belonging to the same category are clustered according to the similarity among the training samples to determine the training samples belonging to the same operation scene, the configuration information of the corresponding operation scene is determined according to the control strategy, the execution time and the operation state in the training samples belonging to the same operation scene, the air conditioning equipment is controlled to operate according to the configuration information of the operation scenes, the recommended personalized scene and the configuration information are analyzed and obtained according to the historical use data of a user, and therefore the automatic control of the air conditioner under the scene is realized, reduce the misidentification, make the use of air conditioner more convenient, use more intelligently, avoid wasting the electricity, promote user experience.
Based on the previous embodiment, this embodiment provides another control method for an air conditioning device, and fig. 2 is a schematic flow chart of the control method for another air conditioning device provided in the embodiment of the present application.
As shown in fig. 2, the step 103 may include the following sub-steps:
and step 1031, determining the control strategies of the corresponding operation scenes according to the control strategies in the training samples belonging to the same operation scene.
Specifically, the control strategies in each training sample belonging to the same operation scene are counted, and the control strategy with the largest occurrence frequency is used as the control strategy of the corresponding operation scene.
And 1032, respectively determining the effective time interval of the corresponding operation scene for each day of the cycle period according to the execution time in each training sample belonging to the same operation scene.
Wherein the cycle period is one week or one month.
Specifically, for each day in the cycle period, the time periods with concentrated execution time in the training samples belonging to the same operation scene are counted, and the time periods with concentrated execution time are used as the effective time periods of the corresponding operation scenes.
The operation scenes can be multiple, such as a home scene, a school scene or a work scene, and since the automatic adjustment of the air conditioning equipment mainly meets the user requirements, and the user requirements are different in different scenes, and the adjustment required to be performed by the air conditioning equipment is also different, the effective time periods determined by sample statistics in different scenes are different, that is, the time periods in which the user execution time is concentrated are different in different scenes, for example, in a company scene, an employee generally works in a company at 8 am-9 pm, and a company at 10 pm-7 am is generally unmanned, that is, after the user reaches the office, the execution time for controlling the air conditioner is concentrated to 8 to 9 pm, and the execution time for closing the air conditioner is concentrated to 9 to 10 pm; in a family scene, a user generally leaves home at about 8 am, returns home at about 9 pm, and starts sleeping at about 11 pm, so that in different operation scenes, applicable time periods are different, and in a cycle, the user is in different states on different dates, for example, monday to friday on duty, saturday and sunday are break days, so that valid periods corresponding to different dates in the cycle are different, and thus, for different scenes, periods with concentrated execution time in training samples belonging to the corresponding operation scenes are counted, and the obtained valid periods are also different.
For example, taking the cycle period as one week and the operation scene as a family scene as an example, performing cluster statistics according to the training samples acquired in the operation scene to determine the effective time period suitable for the family scene, as shown in table 1 below.
| One cycle period | Time period of returning home | Away from home period | Sleep periods |
| Monday | 21～22 | 08～09 | 23～07 |
| Zhou Di | 21～22 | 08～09 | 23～07 |
| Wednesday | 21～22 | 08～09 | 23～07 |
| Week four | 21～22 | 08～09 | 23～07 |
| ZhouWu for treating viral hepatitis | 21～22 | 08～09 | 23～07 |
| Saturday wine | 11～13，18～21 | 09～10 | 23～07 |
| Sunday day | / | 00～24 | 22～06 |
TABLE 1
If the operation scene is a working scene, performing cluster statistics according to the training samples acquired in the operation scene to determine an effective time period suitable for the family scene, as shown in table 2 below.
| One cycle period | Office hours | Off duty hours |
| Monday | 08～21 | 21～22 |
| Zhou Di | 08～21 | 21～22 |
| Wednesday | 08～21 | 21～22 |
| Week four | 08～21 | 21～22 |
| ZhouWu for treating viral hepatitis | 08～21 | 21～22 |
| Saturday wine | / | / |
| Sunday day | / | / |
TABLE 2
It should be noted that the division of the effective time period is only an example, and the division of the effective time period determined in an actual application scenario may be flexibly set. If the cycle period is one month, the principle of setting the corresponding valid period is the same as that of the cycle period, and details are not repeated here. In addition, for the division of the cycle period, those skilled in the art may also flexibly divide the cycle period according to the requirements of the scene, and the division is not limited in this embodiment.
And 1033, determining the trigger condition of the corresponding operation scene according to the operation state in each training sample belonging to the same operation scene.
The operating state includes a plurality of parameters, specifically including one or more combinations of device parameters, environment parameters, and user characteristics.
Specifically, the running state of each training sample belonging to the same running scene is counted, a parameter mean value is obtained for each parameter, and the triggering condition of the corresponding running scene is determined according to each parameter mean value. For example, the operation parameter is an environment temperature, the average value of the environment temperature corresponding to each training sample statistic may be an equipment parameter, such as an operation time, the average value of the operation time corresponding to each training sample statistic may be an operation parameter, the operation parameter may also be a user characteristic, such as the number of included users, the average value of the number of the user for each training sample statistic, and then the trigger condition of the corresponding operation scene may be determined by using the average value of the environment temperature, the average value of the operation time, and the average value of the number of the user.
In the control method of the air conditioning equipment of the embodiment, a plurality of training samples are obtained, wherein each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation, and the operation state of the air conditioning equipment when the corresponding control operation is detected, the training samples belonging to the same category are clustered according to the similarity among the plurality of training samples to determine the training samples belonging to the same operation scene, the configuration information of the corresponding operation scene is determined according to the control strategy, the execution time and the operation state in the training samples belonging to the same operation scene, the air conditioning equipment is controlled to operate according to the configuration information of the operation scenes, the training samples are generated according to the historical use data of a user, and the individualized scene and the configuration information are determined by the cluster statistics of the training samples, thereby realize the automatic control of air conditioner under the scene, reduce the mistake discernment, make the use of air conditioner more convenient, use more intelligent, avoid wasting the electricity, promote user experience.
In order to implement the above embodiments, the present application also proposes a control device of an air conditioning apparatus.
Fig. 3 is a schematic structural diagram of a control device of an air conditioning apparatus according to an embodiment of the present application.
As shown in fig. 3, the apparatus includes: an acquisition module 31, a clustering module 32, a determination module 33, and a control module 34.
An obtaining module 31, configured to obtain a plurality of training samples; each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation and the running state of the air conditioning equipment when the corresponding control operation is detected.
And the clustering module 32 is configured to perform clustering according to the similarity between the plurality of training samples to determine training samples belonging to the same category as belonging to the same operation scene.
The determining module 33 is configured to determine configuration information of a corresponding operation scenario according to the control strategy, the execution time, and the operation state in each training sample belonging to the same operation scenario.
And the control module 34 is used for controlling the operation of the air conditioning equipment according to the configuration information of each operation scene.
Further, in a possible implementation manner of the embodiment of the present application, the determining module 33 includes:
and the first determining unit is used for determining the control strategy of the corresponding operation scene according to the control strategies in the training samples belonging to the same operation scene.
And the second determining unit is used for respectively determining the effective time interval of the corresponding operation scene for each day of the cycle period according to the execution time in each training sample belonging to the same operation scene.
And the third determining unit is used for determining the trigger condition of the corresponding operation scene according to the operation state in each training sample belonging to the same operation scene.
And the generating unit is used for generating the configuration information of the corresponding operation scene according to the trigger condition, the control strategy and the effective time interval of each operation scene.
As a possible implementation manner, the control module 34 is specifically configured to control the air conditioning equipment to execute a control strategy of a corresponding operation scenario when it is determined that the operation state of the air conditioning equipment meets the trigger condition of the corresponding operation scenario within the effective time period of each operation scenario.
As a possible implementation manner, the first determining unit is specifically configured to:
and counting the control strategies in the training samples belonging to the same operation scene, and taking the control strategy with the largest occurrence frequency as the control strategy of the corresponding operation scene.
As a possible implementation manner, the second determining unit is specifically configured to:
and counting time intervals in the execution time set in each training sample belonging to the same operation scene for each day in the cycle period, and taking the time intervals in the execution time set as effective time intervals of the corresponding operation scene.
As a possible implementation manner, the running state includes a plurality of parameters, and the third determining unit is specifically configured to:
counting the running state of each training sample belonging to the same running scene, and respectively obtaining a parameter mean value aiming at each parameter; and determining the triggering conditions of the corresponding operation scenes according to the average values of the parameters.
As a possible implementation, the operating state includes one or more combinations of device parameters, environmental parameters, and user characteristics.
As a possible implementation, the cycle period is one week or one month.
As a possible implementation, the control strategy includes:
adjusting equipment parameters of the air conditioning equipment according to the set parameter curve; the parameter curve is used for indicating the corresponding relation between the running duration and the equipment parameters;
or adjusting the equipment parameters of the air conditioning equipment according to the equipment parameters of the external equipment;
or adjusting the equipment parameters of the air conditioning equipment according to the environmental parameters.
It should be noted that the foregoing explanation of the embodiment of the control method is also applicable to the control device of the embodiment, and is not repeated herein.
In the control method of the air conditioning equipment of the embodiment, a plurality of training samples are obtained, wherein each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation, and the operation state of the air conditioning equipment when the corresponding control operation is detected, the training samples belonging to the same category are clustered according to the similarity among the plurality of training samples to determine the training samples belonging to the same operation scene, the configuration information of the corresponding operation scene is determined according to the control strategy, the execution time and the operation state in the training samples belonging to the same operation scene, the air conditioning equipment is controlled to operate according to the configuration information of the operation scenes, the training samples are generated according to the historical use data of a user, and the individualized scene and the configuration information are determined by the cluster statistics of the training samples, thereby realize the automatic control of air conditioner under the scene, reduce the mistake discernment, make the use of air conditioner more convenient, use more intelligent, avoid wasting the electricity, promote user experience.
In order to implement the foregoing embodiments, the present application further proposes an air conditioning apparatus, fig. 4 is a schematic structural diagram of an air conditioning apparatus provided in the present application, and as shown in fig. 4, the air conditioning apparatus 110 includes a memory 111, a processor 112, and a computer program 113 stored on the memory 111 and operable on the processor 112, and when the processor 112 executes the program 113, the control method according to the foregoing method embodiments is implemented.
In order to implement the above embodiments, the present application also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the control method as described in the aforementioned method embodiments.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (12)
1. A control method of an air conditioning apparatus, characterized by comprising:
obtaining a plurality of training samples; each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation and the running state of the air conditioning equipment when the corresponding control operation is detected;
according to similarity clustering among the training samples, determining the training samples belonging to the same category as belonging to the same operation scene;
determining configuration information of corresponding operation scenes according to control strategies, execution time and operation states in training samples belonging to the same operation scene;
and controlling the air conditioning equipment to operate according to the configuration information of each operation scene.
2. The control method according to claim 1, wherein the determining the configuration information of the corresponding operation scenario according to the control strategy, the execution time, and the operation state in each training sample belonging to the same operation scenario includes:
determining a control strategy of a corresponding operation scene according to the control strategies in each training sample belonging to the same operation scene;
respectively determining the effective time interval of the corresponding operation scene for each day of the cycle period according to the execution time in each training sample belonging to the same operation scene;
determining a trigger condition of a corresponding operation scene according to the operation state in each training sample belonging to the same operation scene;
and generating configuration information of the corresponding operation scene according to the trigger condition, the control strategy and the effective time period of each operation scene.
3. The control method according to claim 2, wherein the controlling the operation of the air conditioning equipment according to the configuration information of each operation scenario includes:
and controlling the air conditioning equipment to execute a control strategy of a corresponding operation scene when the operation state of the air conditioning equipment is determined to meet the trigger condition of the corresponding operation scene in the effective time period of each operation scene.
4. The control method according to claim 2, wherein the determining the control strategy of the corresponding operation scenario according to the control strategies in the training samples belonging to the same operation scenario includes:
and counting the control strategies in the training samples belonging to the same operation scene, and taking the control strategy with the largest occurrence frequency as the control strategy of the corresponding operation scene.
5. The control method according to claim 2, wherein the determining the valid period of the corresponding operation scenario for each day of the cycle period according to the execution time in each training sample belonging to the same operation scenario comprises:
and counting time intervals in the execution time set in each training sample belonging to the same operation scene for each day in the cycle period, and taking the time intervals in the execution time set as effective time intervals of the corresponding operation scene.
6. The control method according to claim 2, wherein the operating state includes a plurality of parameters, and the determining the trigger condition of the corresponding operating scenario according to the operating state in each training sample belonging to the same operating scenario includes:
counting the running state of each training sample belonging to the same running scene, and respectively obtaining a parameter mean value aiming at each parameter;
and determining the triggering conditions of the corresponding operation scenes according to the average values of the parameters.
7. The control method of claim 6, wherein the operating state comprises one or more combinations of equipment parameters, environmental parameters, and user characteristics.
8. Control method according to claim 2, characterized in that the cycle period is one week or one month.
9. The control method according to any one of claims 1 to 8, wherein the control strategy comprises:
adjusting equipment parameters of the air conditioning equipment according to the set parameter curve; the parameter curve is used for indicating the corresponding relation between the running duration and the equipment parameters;
or adjusting the equipment parameters of the air conditioning equipment according to the equipment parameters of the external equipment;
or adjusting the equipment parameters of the air conditioning equipment according to the environmental parameters.
10. A control device of an air conditioning apparatus, characterized in that the device comprises:
the acquisition module is used for acquiring a plurality of training samples; each training sample is generated according to one control operation and comprises a control strategy indicated by the corresponding control operation, the execution time of the corresponding control operation and the running state of the air conditioning equipment when the corresponding control operation is detected;
the clustering module is used for clustering according to the similarity among the training samples so as to determine the training samples belonging to the same category as belonging to the same operation scene;
the determining module is used for determining the configuration information of the corresponding operation scene according to the control strategy, the execution time and the operation state in each training sample belonging to the same operation scene;
and the control module is used for controlling the air conditioning equipment to operate according to the configuration information of each operation scene.
11. An air conditioning apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the control method according to any one of claims 1 to 9 when executing the program.
12. A non-transitory computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the control method according to any one of claims 1 to 9.
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