CN111271830A - Automatic air conditioner adjusting method and system, air conditioner and computer readable storage medium - Google Patents
Automatic air conditioner adjusting method and system, air conditioner and computer readable storage medium Download PDFInfo
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- CN111271830A CN111271830A CN201911349398.9A CN201911349398A CN111271830A CN 111271830 A CN111271830 A CN 111271830A CN 201911349398 A CN201911349398 A CN 201911349398A CN 111271830 A CN111271830 A CN 111271830A
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- air conditioner
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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
Abstract
The invention provides an air conditioner automatic regulation method, a system, an air conditioner and a computer readable storage medium, comprising the following steps: s1, starting the air conditioner, and at least collecting user operation information and user daily operation information of a region as information vectors and current environment information as information vectors; s2, according to the collected information vector and the temperature suitable for the human body as the standard, using a decision tree algorithm to analyze the temperature, the wind speed and the mode suitable for the current user, and sending an instruction to the air conditioner.
Description
Technical Field
The invention relates to the technical field of air conditioning equipment, in particular to an air conditioner automatic adjusting method and system, an air conditioner and a computer readable storage medium.
Background
From the traditional remote controller operation to the intelligent air conditioner remotely operated by using a smart phone, the intellectualization of the air conditioner is in qualitative development. In recent years, with the rise and continuous innovation and development of the internet of things technology, the intellectualization of the air conditioner is upgraded from a single product to the whole family interconnection industry such as smart home, the contents of human-computer interaction, remote control and the like are richer, the intellectualized operations such as intelligent detection, active reminding, autonomous operation and the like can be carried out, and the intellectualized development of the air conditioner is necessary in the competition of the air conditioner industry and is also the trend of the industry development. With the development of the smart home mode, the interconnection and intercommunication of household appliances, IT, communication, furniture and other equipment in the whole family can be realized, and the intellectualization of the air conditioner is necessary.
When the current intelligent air conditioner is started, the air speed, the temperature and the mode of the air conditioner are set correspondingly when the air conditioner is closed last time, and if a user does not use the air conditioner at intervals, the initial setting (temperature, air speed and mode) does not belong to a proper state when the air conditioner is started again.
Therefore, an automatic air conditioner adjusting method, an automatic air conditioner adjusting system, an air conditioner and a computer readable storage medium are provided to solve the problem that an existing air conditioner cannot be automatically adjusted to be in an optimal mode in the current environment when the air conditioner is turned on again after the existing air conditioner is not used for a long time.
Disclosure of Invention
The invention provides an air conditioner automatic adjustment method, an air conditioner automatic adjustment system, an air conditioner and a computer readable storage medium, and aims to solve the technical problem that an existing air conditioner cannot be automatically adjusted to be in an optimal mode in the current environment when the air conditioner is turned on again after the existing air conditioner is not used for a long time.
In order to solve the problems, the invention discloses an automatic air conditioner adjusting method, which comprises the following steps:
s1, starting the air conditioner, and at least collecting user operation information, user daily operation information and current environment information of a region as information vectors;
and S2, analyzing the temperature, the wind speed and the mode suitable for the current user by using a decision tree algorithm according to the collected information vector and the temperature suitable for the human body as a standard, and issuing an instruction to the air conditioner.
The air conditioner automatic regulating method uses regional user operation information, user daily operation information and current environment information as information vectors, and calculates through decision tree algorithm, realizes the automatic control to the air conditioner, compares in prior art, only adopts user daily operation information and environment information to compare as information vectors, can be when opening the air conditioner again after the air conditioner does not use for a long time, the air conditioner can automatically regulated be the temperature, wind speed, the mode that current user is fit for to carry out automatic control to the air conditioner.
Furthermore, the areas are areas with the same urban area and the same weather conditions, temperature and humidity.
When the air conditioner collects user information in an area as an information vector, the adjustment modes of users in the area to the air conditioner are different due to the fact that the differences of weather conditions, temperature and humidity in the area are large, the user operation information in the area collected by the air conditioner is large in error, and the air conditioner is divided according to the area, so that the weather conditions, the temperature and the humidity in the city are approximately the same, the air conditioner states used by the users in the area are basically the same, and the habits of the users in the area for using the air conditioner can be analyzed according to the using conditions of the air conditioner in the area.
Further, the clustering algorithm is used for dividing the regions, the traditional Euclidean distance is used as a dividing basis, and users within the distance d are all regarded as the same region
Wherein x-z is the distance between two points, Xd-Zd is the difference between two coordinates, D is the dimension of the distance D,
the clustering algorithm is used for dividing the area, the division of the area is more accurate, and users using the air conditioner in the area are ensured to be in the environment with approximately the same weather condition, temperature and humidity, namely the accuracy of the user using the air conditioner data in the area is ensured to be collected.
Further, the user operation information in the area is the information vector of the most used temperature, wind speed and mode of the users in the first two hours in the area.
The regional user operation information in the first two hours is selected as the information vector, the information vector collected when the air conditioner is started after the air conditioner is not used for a long time is still the information of the air conditioner used in the region, the use condition of the user when the air conditioner is started is better met, and the temperature, the wind speed and the mode required by the user at present can be more accurately judged.
Further, the decision tree algorithm calculates information gain by using all information vectors as feature points, uses the information gain as a packet of the decision tree algorithm, trains data by using the encapsulated packet, and predicts the most suitable temperature, wind speed and mode currently required by the user.
The decision tree algorithm is adopted to calculate the discrete variables, the accuracy is high, the operation of the user is recorded, the vectors of the database are complete, and the calculation speed is high.
Further, the method for calculating the information gain comprises the following steps:
wherein Gain (D, a) is information Gain, ent (D) is information entropy, V is a possible value, and D is a sample set.
And preparing for the air conditioner to use a decision algorithm by calculating information gain.
The automatic air conditioner adjusting system adopts the automatic air conditioner adjusting method to control the oil return process of the compressor.
Further, the automatic air conditioner adjusting system comprises:
the information acquisition module acquires user operation information, user daily operation information and current environment information of a startup time region;
the information storage module stores the information acquired by the information acquisition module;
the main controller selects the temperature, the wind speed and the mode which are suitable for the user at present according to the calculation of the information;
and the communication module is used for transmitting the command calculated by the main controller and automatically controlling an air conditioner.
The automatic air conditioner adjusting method is realized by the information acquisition module acquiring the user operation information, the user daily operation information, the current environment information, the information storage module, the main controller and the communication module in the area.
An air conditioner comprises a computer readable storage medium and a processor, wherein a computer program is stored in the computer readable storage medium, and when the computer program is read and executed by the processor, the air conditioner automatic adjusting method is realized.
A computer-readable storage medium storing a computer program which, when read and executed by a processor, implements the above-described air conditioner automatic adjustment method.
To sum up, according to the air conditioner automatic adjusting method, the user operation information, the user daily operation information and the current environment information of at least the collecting area are used as the information vector, the decision tree algorithm is used for analyzing the temperature, the wind speed and the mode suitable for the current user, and the instruction is issued to the air conditioner, so that the temperature, the wind speed and the mode of the air conditioner are directly adjusted to the calculated comfortable state when the air conditioner is started, the intelligence of the air conditioner is improved, meanwhile, the user operation is simpler and more convenient, and the experience of the user is improved.
Drawings
Fig. 1 is a schematic structural diagram of an automatic air conditioner adjusting method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an automatic air conditioner adjusting system according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Example 1:
as shown in fig. 1, an automatic adjusting method of an air conditioner includes the steps of:
s1, starting the air conditioner, and at least collecting user operation information, user daily operation information and current environment information of a region as information vectors;
and S2, analyzing the temperature, the wind speed and the mode suitable for the current user by using a decision tree algorithm according to the collected information vector and the temperature suitable for the human body as a standard, and issuing an instruction to the air conditioner.
Preferably, the areas are areas with approximately the same weather conditions, temperatures and humidities in the same urban area, so that when the air conditioner collects user information in the areas as information vectors, the user operation information error in the areas collected by the air conditioner is larger due to the fact that the adjustment modes of the air conditioner by users in the areas are different due to the fact that the differences between the weather conditions, the temperatures and the humidities in the areas are larger, and the areas are divided, so that the weather conditions, the temperatures and the humidities in the city are approximately the same, the air conditioner states used by the users in the areas are basically the same, and the habits of the users in the areas in using the air conditioner can be analyzed according to the use conditions of the air conditioner in the areas.
Preferably, the clustering algorithm is used for dividing the regions, the traditional Euclidean distance is used as a dividing basis, and users within the distance d are all regarded as the same region
The method comprises the steps of acquiring user data in an area, wherein x-z is the distance between two points, Xd-Zd is the difference value between two coordinates, D is the dimension of the distance D, the area is divided by using a clustering algorithm, the division of the area is more accurate, and the user using an air conditioner in the area is ensured to be in the environment with approximately the same weather condition, temperature and humidity, namely the user data in the area is ensured to be the information using the air conditioner in the same environment.
Preferably, the operation information of the users in the area is the most used temperature, wind speed and mode of the users in the first two hours in the area as an information vector.
The regional user operation information in the first two hours is selected as the information vector, the information vector collected when the air conditioner is started after the air conditioner is not used for a long time is still the information of the air conditioner used in the region, the use condition of the user when the air conditioner is started is better met, and the temperature, the wind speed and the mode required by the user at present can be more accurately judged.
Preferably, the decision tree algorithm calculates information gain by using all information vectors as feature points, uses the information gain as a packet of the decision tree algorithm, trains data by using the encapsulated packet, and predicts the most suitable temperature, wind speed and mode currently required by the user.
The decision tree algorithm is adopted to calculate the discrete variables, the accuracy is high, the operation of the user is recorded, the vectors of the database are complete, and the calculation speed is high.
Preferably, the method for calculating the information gain includes:
wherein Gain (D, a) is information Gain, ent (D) is information entropy, V is a possible value, and D is a sample set.
And preparing for the air conditioner to use a decision algorithm by calculating information gain.
Specifically, the implementation process of the air conditioner automatic adjustment method provided by the application is as follows: firstly, when an air conditioner is started, collecting user operation information in an area as an information vector, dividing according to the area, and ensuring that the weather condition, the temperature and the humidity in a city are approximately same, so that the air conditioner states used by users in the area are basically consistent, the air conditioner data in the area can automatically report the state information every 10 minutes, analyzing the use habits of the users in the area according to the reported information, dividing the area by using a clustering algorithm, uniformly processing the air conditioner state information of each area, dividing the geographical position of the user, using the traditional Euclidean distance as a dividing basis, and regarding the users in the distance (d) as the same area
According toThe operation information reported by the users in the area is divided according to the area by taking the most temperature (C1), wind speed (V1) and mode (M1) used by the users in the previous 2 hours as the information vector in the area, so that the weather conditions, the temperature and the humidity of the city are approximately the same, the air conditioner states used by the users in the area are basically consistent, the habits of the users in the area for using the air conditioner can be analyzed according to the using conditions of the air conditioner in the area, and the situation that when the air conditioner collects the user information in the area as the information vector, the adjustment modes of the users in the area for the air conditioner are different due to the fact that the differences of the weather conditions, the temperature and the humidity in the area are large, and the user operation information error in the area collected by the air conditioner is large;
collecting daily operation information of a user as an information vector, recording the behavior of the user after the user uses the air conditioner for a period of time, collecting current environment information as the information vector by taking hours as division, reporting the current environment temperature (C3) as the information vector when the air conditioner is started by taking the temperature (C2), the wind speed (V2) and the mode (M2) favored by the user as the information vector, analyzing the current temperature, wind speed and mode suitable for the user by using a decision tree algorithm according to the collected information vector and the temperature (18 ℃ -24 ℃) suitable for a human body as a standard by using the decision tree algorithm, calculating information gain by taking all the information vectors as feature points,
and using the information gain as a packet of a decision tree algorithm, training data by using the encapsulation packet, and training 82 minutes of data, wherein the obtained user data needs to be subjected to machine learning and an algorithm model before training, so that the obtained data needs to be subjected to a training set and a test set, the training set is used for training the algorithm model, the test set is used for checking a training result, the 82 minutes means that 80% of the obtained data is used as the training set and 20% is used as the test set, and finally, the optimum temperature, wind speed and mode required by the user at present are predicted, so that the temperature, the wind speed and the mode of the air conditioner are directly adjusted to the calculated optimum temperature, wind speed and mode when the air conditioner is startedThe intelligent air conditioner has the advantages that the intelligent air conditioner is improved, the user operation is simpler and more convenient, and the experience of the user is improved.
Through the above process, it can be seen that: according to the air conditioner automatic adjusting method, the user operation information, the user daily operation information and the current environment information of at least an acquisition area are used as information vectors, the decision tree algorithm is used for analyzing the temperature, the wind speed and the mode suitable for the current user, and an instruction is issued to the air conditioner, so that the temperature, the wind speed and the mode of the air conditioner are directly adjusted to the calculated comfortable state when the air conditioner is started, the intelligence of the air conditioner is improved, the user operation is simpler and more convenient, and the experience of the user is improved.
Example 2:
as shown in fig. 2, an automatic air conditioner adjusting system includes:
the information acquisition module acquires user operation information, user daily operation information and current environment information of a startup time region;
the information storage module stores the information acquired by the information acquisition module;
the main controller selects the temperature, the wind speed and the mode which are suitable for the user at present according to the calculation of the information;
and the communication module is used for transmitting the command calculated by the main controller and automatically controlling an air conditioner.
Example 3:
an air conditioner comprises the air conditioner automatic adjusting system, the air conditioner further comprises a computer readable storage medium and a processor, wherein a computer program is stored in the computer readable storage medium, and when the computer program is read and executed by the processor, the air conditioner automatic adjusting method is achieved.
A computer-readable storage medium storing a computer program which, when read and executed by a processor, implements the above-described air conditioner automatic adjustment method.
Although the present invention is disclosed above, the present invention is not limited thereto. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily 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. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An automatic air conditioner adjusting method is characterized by comprising the following steps:
s1, starting the air conditioner, and at least collecting user operation information, user daily operation information and current environment information in the area as information vectors;
and S2, analyzing the temperature, the wind speed and the mode suitable for the current user by using a decision tree algorithm according to the collected information vector and the temperature suitable for the human body as a standard, and issuing an instruction to the air conditioner.
2. The automatic air conditioner adjusting method according to claim 1, wherein the areas are areas with approximately same weather conditions, temperature and humidity in the same urban area.
3. The automatic air conditioner adjusting method according to claim 2, wherein the clustering algorithm is used to divide the areas, and the traditional Euclidean distance is used as the dividing basis, and the users within the distance d are all regarded as the same area
Wherein x-z is the distance between two points, and Xd-Zd isThe difference between the two coordinates, D, is the dimension of the distance D.
4. The automatic air conditioner adjusting method according to claim 3, wherein the user operation information in the area is the most used temperature, wind speed and mode of the users in the first two hours in the area as an information vector.
5. The automatic air conditioner adjusting method of claim 1, wherein the decision tree algorithm calculates information gain by using all information vectors as feature points, and uses the information gain as a packet of the decision tree algorithm, and uses the packet for data training to predict the most suitable temperature, wind speed and mode currently required by the user.
6. The automatic air conditioner adjusting method according to claim 5, wherein the method for calculating the information gain is:
wherein Gain (D, a) is information Gain, ent (D) is information entropy, V is a possible value, and D is a sample set.
7. An automatic air conditioner adjusting system, characterized in that the automatic air conditioner adjusting system automatically controls an air conditioner by using the automatic air conditioner adjusting method of any one of claims 1 to 6.
8. The automatic air conditioner adjusting system according to claim 7, comprising:
the information acquisition module acquires user operation information, user daily operation information and current environment information in a startup time zone;
the information storage module stores the information acquired by the information acquisition module;
the main controller calculates the current suitable temperature, wind speed and mode of the user according to the information;
and the communication module is used for transmitting the command calculated by the main controller and automatically controlling an air conditioner.
9. An air conditioner comprising a computer-readable storage medium storing a computer program and a processor, wherein the computer program is read by the processor and executed to implement the automatic air conditioner adjusting method according to any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when read and executed by a processor, implements the air conditioner auto-adjustment method according to any one of claims 1 to 6.
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Application publication date: 20200612 |