CN117404781A

CN117404781A - Air conditioner temperature adjusting method, device, equipment and storage medium

Info

Publication number: CN117404781A
Application number: CN202311538207.XA
Authority: CN
Inventors: 宋浩林
Original assignee: Beijing Xiaomi Mobile Software Co Ltd; Xiaomi Technology Wuhan Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd; Xiaomi Technology Wuhan Co Ltd
Priority date: 2023-11-14
Filing date: 2023-11-14
Publication date: 2024-01-16

Abstract

The disclosure provides an air conditioner temperature adjusting method, an air conditioner temperature adjusting device, air conditioner temperature adjusting equipment and a storage medium, and relates to the technical field of air conditioners. In some embodiments of the present disclosure, a historical set temperature of a user in a target operating mode of an air conditioner is obtained; determining the type of cold and hot preference of a user according to the historical set temperature; determining a target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot, so that the air conditioner can perform temperature adjustment according to the target set temperature; according to the method and the device, the cold and hot preference types of the user are determined through the big data, the current set temperature is adjusted to be the target set temperature matched with the user according to the cold and hot preference types of different users, the intelligent degree of air conditioner temperature adjustment is improved, and user experience is improved.

Description

Air conditioner temperature adjusting method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of air conditioners, and in particular relates to an air conditioner temperature adjusting method, an air conditioner temperature adjusting device, air conditioner temperature adjusting equipment and a storage medium.

Background

With the improvement of living standard of people, the use amount of air conditioners for people is increasing. The development of air conditioners is moving towards the trend of intellectualization and individualization.

The user inputs the set temperature through the air conditioner remote controller or the air conditioner panel, and the air conditioner adjusts the indoor environment temperature according to the input set temperature.

At present, the set temperature of the air conditioner completely depends on user input, the intelligent degree of air conditioner temperature adjustment is low, and the user experience is poor.

Disclosure of Invention

The disclosure provides an air conditioner temperature adjusting method, an air conditioner temperature adjusting device and a storage medium, and aims to at least solve the problems that the existing air conditioner temperature adjusting is low in intelligent degree and poor in user experience.

The technical scheme of the present disclosure is as follows:

the embodiment of the disclosure provides an air conditioner temperature adjusting method, which comprises the following steps:

acquiring a historical set temperature of a user in a target operation mode;

determining the type of cold and hot preference of the user according to the historical set temperature;

and determining the target set temperature of the user according to the current running mode, the current set temperature and the cold and hot preference type.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the first set temperature, the second set temperature and the third set temperature, wherein the determining the target set temperature of the user according to the current operation mode, the current set temperature and the cold and hot preference type comprises the following steps:

When the current set temperature is greater than or equal to a first temperature and the cold preference type is a cold preference type, reducing the current set temperature by a first temperature change amount to the first set temperature, wherein the first set temperature is greater than or equal to the first temperature;

when the cold and hot preference type is a cold preference type, reducing the current set temperature by a second temperature change amount to the second set temperature, wherein the second set temperature is greater than or equal to the first temperature, and the first temperature change amount is greater than the second temperature change amount;

and when the cold and hot preference type is any one of a cold and hot balance type, a warm preference type and a hot preference type, the current set temperature is taken as the third set temperature.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: a fourth set temperature, a fifth set temperature, and a sixth set temperature, the determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type, comprising:

when the current set temperature is greater than or equal to a second temperature and less than a first temperature, reducing the current set temperature by a third temperature change amount to the fourth set temperature when the cold preference type is a cold preference type, wherein the first temperature is greater than the second temperature and the fourth set temperature is greater than or equal to the second temperature;

When the cold and hot preference type is a cold preference type, reducing the current set temperature by a fourth temperature change amount to the fifth set temperature, wherein the fifth set temperature is greater than or equal to the second temperature, and the third temperature change amount is greater than the fourth temperature change amount;

when the cold/hot preference type is any one of a cold/hot balance type, a warm preference type and a heat preference type, the current set temperature is taken as the sixth set temperature.

Optionally, the current operation mode is a cooling mode, and the determining the target set temperature of the user according to the current operation mode, the current set temperature and the cold and hot preference type includes:

and taking the current set temperature as the target set temperature under the condition that the current set temperature is smaller than a second temperature.

Optionally, the current operation mode is a heating mode, and determining the target set temperature of the user according to the current operation mode, the current set temperature and the cold and hot preference type includes:

and when the current set temperature is larger than or equal to a third temperature, taking the current set temperature as the target set temperature.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: a seventh set temperature, an eighth set temperature, and a ninth set temperature, the determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type, comprising:

when the current set temperature is greater than or equal to a fourth temperature and less than a third temperature, when the cold and hot preference type is a warm preference type, increasing the current set temperature by a fifth temperature change amount to the seventh set temperature, wherein the seventh set temperature is less than or equal to the third temperature, and the third temperature is greater than the fourth temperature;

when the cold and hot preference type is a hot preference type, increasing the current set temperature by a sixth temperature change amount to the eighth set temperature, wherein the sixth temperature change amount is larger than a fifth temperature change amount, and the eighth set temperature is smaller than or equal to the third temperature;

and when the cold and hot preference type is any one of a cold preference type, a cold preference type and a cold and hot balance type, the current set temperature is taken as the ninth set temperature.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: tenth, eleventh, and twelfth set temperatures, the determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cooling/heating preference type, comprising:

when the current set temperature is smaller than a fourth temperature and the cold and hot preference type is a warm preference type, increasing the current set temperature by a seventh temperature change amount to the tenth set temperature, wherein the tenth set temperature is smaller than or equal to the fourth temperature;

when the cold and hot preference type is a hot preference type, increasing the current set temperature by an eighth temperature change amount to the eleventh set temperature, wherein the eleventh set temperature is less than or equal to the fourth temperature, and the eighth temperature change amount is greater than the seventh temperature change amount;

when the cold and hot preference type is any one of a cold preference type, a cold preference type and a cold and hot balance type, the current set temperature is taken as the twelfth set temperature.

Optionally, the determining the type of cold and hot preference of the user according to the historical set temperature includes:

Acquiring historical set temperatures of other users in the target operation mode;

determining a first temperature characteristic parameter of the user according to the historical set temperature of the user in the target operation mode, and

determining a second temperature characteristic parameter of each other user according to the historical set temperature of each other user in the target operation mode;

and clustering the first temperature characteristic parameter and the second temperature characteristic parameter to obtain the cold and hot preference type of the user.

Optionally, the clustering operation is performed on the first temperature characteristic parameter and the second temperature characteristic parameter to obtain a cold and hot preference type of the user, including:

determining the number and the types of clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter;

and clustering the first temperature characteristic parameters and the second temperature characteristic parameters by using a clustering algorithm according to the number and the types of the clustering clusters to obtain the cold and hot preference type of the user.

Optionally, the determining the number and the kind of the clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter includes:

Determining the number and the types of clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter by using an elbow graph method; or,

and determining the number and the types of the clusters according to the first temperature characteristic parameters and the second temperature characteristic parameters by using a contour coefficient method.

The embodiment of the disclosure also provides an air conditioner temperature adjusting method, which comprises the following steps:

uploading a historical set temperature of a user in a target operation mode to a server, so that the server can determine the type of cold and hot preference of the user according to the historical set temperature;

receiving the cold and hot preference type of the user issued by the server;

and correcting the current set temperature to be a target set temperature according to the current running mode, the current set temperature and the cold and hot preference type.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the first set temperature, the second set temperature and the third set temperature, the correcting the current set temperature to the target set temperature according to the current running mode, the current set temperature and the cold and hot preference type includes:

And when the cold and hot preference type is a cold preference type, reducing the current set temperature by a second temperature change amount to the second set temperature, wherein the second set temperature is greater than or equal to the first temperature, and the first temperature change amount is greater than the second temperature change amount.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: a fourth set temperature, a fifth set temperature, and a sixth set temperature, the correcting the current set temperature to a target set temperature according to a current operation mode, a current set temperature, and the cold and hot preference type, comprising:

and when the cold and hot preference type is a cold preference type, reducing the current set temperature by a fourth temperature change amount to the fifth set temperature, wherein the fifth set temperature is greater than or equal to the second temperature, and the third temperature change amount is greater than the fourth temperature change amount.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: a seventh set temperature, an eighth set temperature, and a ninth set temperature, the correcting the current set temperature to a target set temperature according to a current operation mode, a current set temperature, and the cold and hot preference type, including:

and when the cold and hot preference type is a hot preference type, increasing the current set temperature by a sixth temperature change amount to the eighth set temperature, wherein the sixth temperature change amount is larger than a fifth temperature change amount, and the eighth set temperature is smaller than or equal to the third temperature.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: tenth, eleventh, and twelfth set temperatures, the correcting the current set temperature to a target set temperature according to a current operation mode, a current set temperature, and the cold and hot preference type, comprising:

and when the cold and hot preference type is a hot preference type, increasing the current set temperature by an eighth temperature change amount to the eleventh set temperature, wherein the eleventh set temperature is less than or equal to the fourth temperature, and the eighth temperature change amount is greater than the seventh temperature change amount.

The embodiment of the disclosure also provides an air conditioner temperature adjusting device, which comprises:

the acquisition module is used for acquiring the historical set temperature of the user in the target operation mode;

the first determining module is used for determining the type of the cold and hot preference of the user according to the historical set temperature;

and the second determining module is used for determining the target set temperature of the user according to the current running mode, the current set temperature and the cold and hot preference type.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the second determining module is used for determining the target set temperature of the user according to the current running mode, the current set temperature and the cold and hot preference type when determining the target set temperature of the user:

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: a fourth set temperature, a fifth set temperature, and a sixth set temperature, wherein the second determining module is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type:

Optionally, the current operation mode is a cooling mode, and the second determining module is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type:

Optionally, the current operation mode is a heating mode, and the second determining module is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type:

Optionally, the current operation mode is a heating mode, and the target set temperature includes: a seventh set temperature, an eighth set temperature, and a ninth set temperature, the second determining module, when determining the target set temperature of the user according to a current operation mode, a current set temperature, and the cold/hot preference type, is configured to:

Optionally, the current operation mode is a heating mode, and the target set temperature includes: a tenth set temperature, an eleventh set temperature, and a twelfth set temperature, the second determining module, when determining the target set temperature of the user according to a current operation mode, a current set temperature, and the cooling/heating preference type, is configured to:

Optionally, the first determining module is configured to, when determining the type of cold and hot preference of the user according to the historical set temperature:

Optionally, when the first determining module performs a clustering operation on the first temperature characteristic parameter and the second temperature characteristic parameter to obtain the type of cold and hot preference of the user, the first determining module is configured to:

Optionally, the first determining module is configured to, when determining the number and the kind of the clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter:

the uploading module is used for uploading the historical set temperature of the user in the target running mode to the server so that the server can determine the cold and hot preference type of the user according to the historical set temperature;

the receiving module is used for receiving the cold and hot preference type of the user issued by the server;

and the correction module is used for correcting the current set temperature to be the target set temperature according to the current running mode, the current set temperature and the cold and hot preference type.

The embodiment of the disclosure also provides an air conditioner, including:

a processor;

a memory for storing the processor-executable instructions;

Wherein the processor is configured to execute the instructions to implement the steps in the method as described above.

The disclosed embodiments also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method.

The disclosed embodiments also provide a computer program product comprising a computer program/instruction which, when executed by a processor, implements the steps of the method described above.

The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:

in some embodiments of the present disclosure, a historical set temperature of a user in a target operating mode of an air conditioner is obtained; determining the type of cold and hot preference of a user according to the historical set temperature; determining a target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot, so that the air conditioner can perform temperature adjustment according to the target set temperature; according to the method and the device, the cold and hot preference types of the user are determined through the big data, the current set temperature is adjusted to be the target set temperature matched with the user according to the cold and hot preference types of different users, the intelligent degree of air conditioner temperature adjustment is improved, and user experience is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.

Fig. 1 is a schematic flow chart of an air conditioner temperature adjustment method according to an exemplary embodiment of the present disclosure;

fig. 2 is a schematic flow chart of an air conditioner temperature adjustment method according to an exemplary embodiment of the present disclosure;

fig. 3 is a schematic flow chart of an air conditioner temperature adjusting method according to an embodiment of the disclosure;

fig. 4 is a schematic structural view of an air conditioner temperature adjusting device according to an exemplary embodiment of the present disclosure;

fig. 5 is a schematic structural view of an air conditioner temperature adjusting device according to an exemplary embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present disclosure;

fig. 7 is a schematic structural view of an air conditioner according to an exemplary embodiment of the present disclosure.

Detailed Description

In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of the present disclosure.

It should be noted that, the user information related to the present disclosure includes, but is not limited to: user equipment information and user personal information; the processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the user information in the present disclosure all conform to the regulations of the relevant laws and regulations and do not violate the well-known and popular public order.

In view of the above technical problems, in some embodiments of the present disclosure, a history setting temperature of a user in a target operation mode of an air conditioner is obtained; determining the type of cold and hot preference of a user according to the historical set temperature; determining a target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot, so that the air conditioner can perform temperature adjustment according to the target set temperature; according to the method and the device, the cold and hot preference types of the user are determined through the big data, the current set temperature is adjusted to be the target set temperature matched with the user according to the cold and hot preference types of different users, the intelligent degree of air conditioner temperature adjustment is improved, and user experience is improved.

The following describes in detail the technical solutions provided by the embodiments of the present disclosure with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of an air conditioner temperature adjusting method according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the method includes:

s101: acquiring a historical set temperature of a user in a target operation mode;

s102: determining the type of cold and hot preference of a user according to the historical set temperature;

s103: and determining the target set temperature of the user according to the current running mode, the current set temperature and the cold and hot preference type.

In this embodiment, the execution subject of the above method may be an air conditioner or a server.

When the execution main body of the method is an air conditioner, the type of the air conditioner is not limited, and the air conditioner comprises but is not limited to the following types:

traditional central air conditioning upgrade edition: this type of intelligent air conditioner may be connected to a wireless network, which may be controlled using a cell phone or other device. Some intelligent air conditioners also have a voice control function.

Window type intelligent air conditioner: the air conditioner is updated based on the traditional window type air conditioner, integrates a wireless module and can be remotely controlled through a mobile phone application program. In addition, this type of intelligent air conditioner is often equipped with some advanced functions (e.g., automatic on/off, etc.) to enhance the user experience.

Independent intelligent air conditioner: a free-standing intelligent air conditioner is commonly referred to as one of the intelligent home devices. They have built-in temperature and humidity sensors that automatically adjust temperature and humidity, providing the fastest cooling and humidification performance. In addition, they can be integrated with other smart home devices (e.g., smart speakers, smart lights, etc.) to achieve more intelligent and automated control.

When the execution subject of the method is a server, the type of the server is not limited. For example, the server may be a conventional server, a cloud host, a virtual center, or the like server device. The server mainly comprises a processor, a hard disk, a memory, a system bus and the like, and a general computer architecture type.

In the embodiment, a historical set temperature of a user in a target running mode of the air conditioner is obtained; determining the type of cold and hot preference of a user according to the historical set temperature; determining a target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot, so that the air conditioner can perform temperature adjustment according to the target set temperature; according to the method and the device, the cold and hot preference types of the user are determined through the big data, the current set temperature is adjusted to be the target set temperature matched with the user according to the cold and hot preference types of different users, the intelligent degree of air conditioner temperature adjustment is improved, and user experience is improved.

It should be noted that the target operation modes include, but are not limited to: a cooling mode and a heating mode.

The history setting temperature may be a setting temperature for setting a history period, and may be a user setting temperature of 1 week, a user setting temperature of 1 month, and a user setting temperature of 1 year.

In some embodiments of the present disclosure, the type of cold-hot preference of the user is determined based on the historical set temperature. One way to achieve this is to obtain the historical set temperature of other users in the target operation mode; determining a first temperature characteristic parameter of a user according to the historical set temperature of the user in the target operation mode, and determining a second temperature characteristic parameter of each other user according to the historical set temperature of each other user in the target operation mode; and clustering the first temperature characteristic parameter and the second temperature characteristic parameter to obtain the cold and hot preference type of the user. Wherein the period of the clustering operations of the present disclosure may be a set time period, for example, half a year or one year. The period of the clustering operation of the present disclosure may also be a period in which the number of users increases by an amount, for example, every 1000 persons increase in the number of users, a clustering operation is performed.

In the above embodiment, the first temperature characteristic parameter of the user is determined according to the historical set temperature of the user in the target operation mode, and the second temperature characteristic parameter of each other user is determined according to the historical set temperature of each other user in the target operation mode. And calculating the temperature characteristic parameters corresponding to each user according to the historical set temperature of each user. For each user's historical set temperature, a temperature profile of the set temperature over time may be generated.

The temperature characteristic parameters include: statistical feature parameters, time domain feature parameters, and frequency domain feature parameters. Wherein the statistical characteristic parameters include, but are not limited to, the following: average, median, maximum, minimum, standard deviation, coefficient of variation, skewness, kurtosis, sum of differences, average of differences, proportion greater than average, proportion less than average, proportion of maximum occurrence and proportion of minimum occurrence; time domain features refer to parameters including: an autocorrelation coefficient; frequency domain characteristic parameters, including: and (5) grouping entropy.

The calculation mode of each type of temperature characteristic parameter is described below.

1. And (5) extracting statistical characteristic parameters.

A. Average value of set temperature

Selecting a temperature value set by a user for about one month, wherein the average value is

Wherein x is _i The temperature value set by the user is shown, and n is the number of the set temperature values.

B. Median of set temperature

Selecting a set temperature of nearly one month: x is x ₁ ,x ₂ ,x ₃ ，,x _i ，…,x _n Ordering them from small to large as: x is x ₍₁₎ ,x ₍₂₎ ,x ₍₃₎ ，…,x _(n) ，

Then when n is odd, x _{Median of} ＝x _(n+1)/2 ；

When n is an even number, the number,

C. maximum value of set temperature

The maximum value of the set temperature is: tmax=x _(n) 。

D. Minimum value of set temperature

Selecting a set temperature of nearly one month: x is x ₁ ,x ₂ ,x ₃ ，,x _i ，…,x _n Ordering them from small to large as: x is x ₍₁₎ ,x ₍₂₎ ,x ₍₃₎ ，…,x _(n) The minimum value of the set temperature is: tmin=x ₍₁₎ 。

E. Standard deviation of set temperature

Selecting a set temperature value of nearly one month: x is x ₁ ,x ₂ ,x ₃ ，,x _i ，…,x _n Average value is obtainedThe standard deviation sigma is:

F. coefficient of variation of set temperature

Selecting a set temperature value of nearly one month: x is x ₁ ,x ₂ ,x ₃ ，…,x _n Average value is obtainedCoefficient of variation C _v The method comprises the following steps:

G. degree of deviation

The skewness is a measure of the direction and degree of skewness of the temperature adjustment curve and is a digital feature of the degree of asymmetry of the user temperature adjustment profile. Selecting a set temperature value of nearly one month: x is x ₁ ,x ₂ ,x ₃ ，…,x _n Average value is obtainedStandard deviation sigma, deviation S of temperature regulation curve _k The method comprises the following steps:

H. kurtosis degree

The kurtosis reflects the sharpness of the peak part of the temperature-regulating curve, and the kurtosis K of the temperature-regulating curve _ur The calculation formula is as follows:

I. sum of temperature control curve difference

Selecting a set temperature value of nearly one month: x is x ₁ ,x ₂ ,x ₃ ,x _i ,x _i+1 ,…,x _n The sum of the temperature control curve differences Dif_sum is:

J. mean value of temperature regulation curve difference

Selecting a set temperature value of nearly one month: x is x ₁ ,x ₂ ,x ₃ ,x _i ,x _i+1 ,…,x _n The differential mean value dif_avg of the temperature adjustment curve is:

K. the ratio of the temperature data of the temperature regulation curve to the average value is larger than that of the average value

Ratio = number of temperature adjustment data greater than average for the last month/total number of temperature adjustment data.

L, proportion of each temperature data of temperature regulation curve smaller than average value

Ratio = number of temperature adjustment data less than average for the last month/total number of temperature adjustment data.

M, proportion of maximum value of each temperature data of temperature regulation curve

Ratio = number of times the maximum value of the temperature adjustment data occurs for one month/total number of temperature adjustment data.

N, proportion of minimum value of each temperature data of temperature regulating curve

Proportion = number of times the minimum value occurs in the temperature adjustment data of the last month/total number of temperature adjustment data.

2. And extracting time domain characteristic parameters.

A. Autocorrelation coefficient

Selecting a set temperature value of nearly one month: x is x ₁ ,x ₂ ,x ³ ，…,x _n Average value is obtainedThe correlation coefficient ACF is:

3. and extracting frequency domain characteristic parameters.

A. Group entropy

Selecting a set temperature of nearly one month: x is x ₁ ,x ₂ ,x ₃ ，,x _i ，…,x _n Ordering them from small to large as: x is x ₍ ¹ ₎ ,x ₍ ² ₎ ,x ₍₃₎ ，…,x _(n) ，

According to [ x ] ₍₁₎ ,x _(n) ]The interval is equally divided into ten cells, then the temperature data of the temperature regulating curve are dispersed in ten groups, and according to the equidistant grouping condition, the Entropy of the probability distribution is calculated, and then the grouping Entropy Bin_Entropy is as follows:

wherein P is _k The probability that the value of the temperature adjustment data falls in the kth group is indicated.

In some embodiments of the present disclosure, clustering is performed on the first temperature characteristic parameter and the second temperature characteristic parameter to obtain a cold and hot preference type of the user. One implementation way is that the number and the types of clusters are determined according to the first temperature characteristic parameter and the second temperature characteristic parameter; and clustering the first temperature characteristic parameter and the second temperature characteristic parameter by using a clustering algorithm according to the number and the types of the clusters to obtain the cold and hot preference type of the user. According to the embodiment of the disclosure, the temperature characteristic parameters of different users are clustered through the clustering algorithm, and the cold and hot preference type of each user is accurately obtained.

In the above embodiment, the number and the kind of the clusters are determined according to the first temperature characteristic parameter and the second temperature characteristic parameter. One implementation way is that the number and the types of clusters are determined according to a first temperature characteristic parameter and a second temperature characteristic parameter by using an elbow graph method; or determining the number and the types of the clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter by using a contour coefficient method. After the first temperature characteristic parameters and the second temperature characteristic parameters of different users are obtained, the first temperature characteristic parameters and the second temperature characteristic parameters are standardized, and standardized data are obtained; and carrying out correlation test on the standardized data, and removing the strongly correlated data to obtain final clustered data. And selecting the numerical value at the obvious inflection point as the number of clusters according to the clustering data by using an elbow graph method. And selecting the numerical value with the maximum contour coefficient as the number of the clustering clusters according to the clustering data by utilizing a contour coefficient method. In addition, the number of clusters obtained by the elbow graph method and the contour coefficient method can be compared to verify the accuracy of the number of clusters. Further, according to the number of the clusters, the types of the clusters are determined. Wherein the type of cluster corresponds to the type of cold and hot preference of the user.

In the above embodiment, according to the number and the types of the clusters, the clustering algorithm is used to perform clustering operation on the first temperature characteristic parameter and the second temperature characteristic parameter, so as to obtain the type of the preference of the user to cool and heat. And clustering the first temperature characteristic parameter and the second temperature characteristic parameter by utilizing a KMeans clustering algorithm according to the number and the types of the clusters to obtain the cold and hot preference type and the clustering center of the user and the cold and hot preference type and the clustering center of each other user. In addition, the scatter diagram can be drawn according to the cold and hot preference type and the clustering center of the user and the cold and hot preference type and the clustering center of each other user, and the drawing process of the scatter diagram is not repeated in the disclosure.

It should be noted that the types of cold and hot preference include, but are not limited to, the following: cold preference type, cool preference type, cold-heat balance type, warm preference type, and heat preference type.

After the cold and hot preference type of the user is obtained, the current set temperature input by the user can be adjusted according to the cold and hot preference type of the user, so that the requirements of the user are met, and the user experience is improved.

In some embodiments of the present disclosure, when the current operation mode is a cooling mode, a target set temperature of a user is determined according to the current operation mode, the current set temperature, and the cooling and heating preference type. Including the following:

Case one: when the current set temperature is greater than or equal to the first temperature and the cold preference type is the cold preference type, reducing the current set temperature by a first temperature change amount to the first set temperature, wherein the first set temperature is greater than or equal to the first temperature; when the cold preference type is the cold preference type, reducing the current set temperature by a second temperature change amount to a second set temperature, wherein the second set temperature is greater than or equal to the first temperature, and the first temperature change amount is greater than the second temperature change amount; when the cold and hot preference type is any one of the cold and hot balance type, the warm preference type and the hot preference type, the current set temperature is taken as the third set temperature.

And a second case: when the current set temperature is larger than or equal to the second temperature and smaller than the first temperature and the cold preference type is the cold preference type, reducing the current set temperature by a third temperature change amount to a fourth set temperature, wherein the first temperature is larger than the second temperature, and the fourth set temperature is larger than or equal to the second temperature; when the cold preference type is the cold preference type, reducing the current set temperature by a fourth temperature change amount to a fifth set temperature, wherein the fifth set temperature is more than or equal to the second temperature, and the third temperature change amount is more than the fourth temperature change amount; when the cold/hot preference type is any one of the cold/hot balance type, the warm preference type and the hot preference type, the current set temperature is taken as the sixth set temperature.

Case three: and when the current set temperature is smaller than the second temperature, taking the current set temperature as a target set temperature.

It should be noted that, in the embodiment of the present disclosure, the first set temperature, the second set temperature, the third set temperature, the first temperature, the second temperature, the first temperature variation, the second temperature variation, the third temperature variation, and the fourth temperature variation are not limited, and the first set temperature, the second set temperature, the third set temperature, the first temperature, the second temperature, the first temperature variation, the second temperature variation, the third temperature variation, and the fourth temperature variation may be adjusted according to actual situations.

For example, when the current set temperature is equal to or higher than 27 ℃, the target set temperature of the user of the cold preference type is corrected downward by 1.5 ℃ according to the current set temperature and is not lower than 27 ℃; the target set temperature of the cool preference type user is downwards corrected by 1 ℃ according to the current set temperature, and the temperature is not lower than 27 ℃; the current set temperatures of the users of the cold-heat balance type, the warm preference type and the heat preference type are not corrected.

When the current set temperature is more than or equal to 24 and the current set temperature is less than 27 ℃, the target set temperature of the user with the cold preference type is downwards corrected by 2 ℃ according to the current set temperature and is not lower than 24 ℃; the target set temperature of the user with the cool preference type is downwards corrected by 1.5 ℃ according to the current set temperature, and is not lower than 24 ℃; the current set temperatures of the users of the cold-heat balance type, the warm preference type and the heat preference type are not corrected.

When the current set temperature is less than 24 ℃, the current set temperature of the users of each cold and hot preference type is not corrected.

In some embodiments of the present disclosure, when the current operation mode is a heating mode, a target set temperature of a user is determined according to the current operation mode, the current set temperature, and the type of preference for cold and hot. Including the following:

case four: when the current set temperature is equal to or higher than the third temperature, the current set temperature is set as the target set temperature.

Case five: when the current set temperature is larger than or equal to the fourth temperature and smaller than the third temperature and the cold and hot preference type is the warm preference type, increasing the current set temperature by a fifth temperature change amount to a seventh set temperature, wherein the seventh set temperature is smaller than or equal to the third temperature, and the third temperature is larger than the fourth temperature; when the cold and hot preference type is the hot preference type, increasing the current set temperature by a sixth temperature change amount to an eighth set temperature, wherein the sixth temperature change amount is larger than the fifth temperature change amount, and the eighth set temperature is smaller than or equal to the third temperature; when the cold-hot preference type is any one of the cold preference type, the cold preference type and the cold-hot balance type, the current set temperature is taken as a ninth set temperature.

Case six: when the current set temperature is smaller than the fourth temperature and the cold preference type is the warm preference type, increasing the current set temperature by a seventh temperature change amount to a tenth set temperature, wherein the tenth set temperature is smaller than or equal to the fourth temperature; when the cold and hot preference type is the hot preference type, increasing the current set temperature by an eighth temperature change amount to an eleventh set temperature, wherein the eleventh set temperature is smaller than or equal to the fourth temperature, and the eighth temperature change amount is larger than the seventh temperature change amount; when the cold-hot preference type is any one of the cold preference type, the cold preference type and the cold-hot balance type, the current set temperature is taken as the twelfth set temperature.

For example, when the current set temperature is equal to or higher than 25 ℃, the current set temperature of the user of each preference type of the heat and the cold is not corrected.

When the current set temperature is more than or equal to 20 and the set temperature is less than 25 ℃, the target set temperature of a user with a warm preference type is corrected upwards by 1.5 ℃ according to the current set temperature and is not more than 25 ℃; the target set temperature of the thermal preference type user is corrected upwards by 2 ℃ according to the current set temperature, and the target set temperature is not more than 25 ℃; the current set temperature of the users of the cold preference type, the cold preference type and the cold and heat balance type is not corrected.

When the current set temperature is less than 20 ℃, the target set temperature of a user with a warm preference type is corrected upwards by 1 ℃ according to the current set temperature, and the temperature is not more than 20 ℃; the target set temperature of the user of the thermal preference type is corrected upwards by 1.5 ℃ according to the current set temperature, and the set temperature is not more than 20 ℃; the current set temperature of the users of the cold preference type, the cold preference type and the cold and heat balance type is not corrected.

After the target set temperature matched with the user is obtained, the air conditioner is controlled to adjust the environmental temperature according to the target set temperature. Different target set temperatures can be intelligently adjusted and generated according to the cold and hot preference of different users to the temperature, the intelligent degree of air conditioner adjustment is improved, and the user experience is improved.

In connection with the description of the above embodiments, the above air conditioner temperature adjustment method may also be performed in conjunction with the air conditioner and the server to achieve temperature adjustment of the air conditioner, and the following embodiments are given as exemplary illustrations and not limiting of the present disclosure.

From the perspective of air conditioning, fig. 2 is a schematic flow chart of an air conditioning temperature adjustment method according to an embodiment of the disclosure. As shown in fig. 2, the method includes:

S201: uploading the historical set temperature of the user in the target operation mode to a server, so that the server can determine the type of cold and hot preference of the user according to the historical set temperature;

s202: receiving a cold and hot preference type of a user issued by a server;

s203: and correcting the current set temperature to be the target set temperature according to the current running mode, the current set temperature and the cold and hot preference type.

From the perspective of a server, fig. 3 is a schematic flow chart of an air conditioner temperature adjustment method according to an embodiment of the disclosure. As shown in fig. 3, includes:

s301: receiving a historical set temperature of a user in a target operation mode, which is uploaded by an air conditioner;

s302: determining the type of cold and hot preference of a user according to the historical set temperature;

s303: and issuing the cold and hot preference type of the user to the air conditioner so that the air conditioner corrects the current set temperature to the target set temperature according to the current running mode, the current set temperature and the cold and hot preference type.

In some embodiments of the present disclosure, an air conditioner collects a historical set temperature of a user in a target operation mode, and uploads the historical set temperature to a server after a temperature upload period is reached.

In some embodiments of the present disclosure, the server determines the type of cold and hot preference of the user according to the historical set temperature after receiving the historical set temperature of the user in the target operation mode uploaded by the air conditioner. For a specific determination manner of the cold and hot preference type, reference may be made to the description of the corresponding parts of the foregoing embodiments, and the description is omitted herein.

In some embodiments of the present disclosure, the server issues a cold and hot preference type of a user to the air conditioner, the air conditioner receives the cold and hot preference type of the user, and the air conditioner corrects the current set temperature to a target set temperature according to the current operation mode, the current set temperature, and the cold and hot preference type. The control logic for correcting the current set temperature to the target set temperature of the air conditioner can be referred to the description of the foregoing embodiments, and will not be repeated here.

In another embodiment of the present disclosure, a historical set temperature of a user in a target operating mode is uploaded to a server; the server determines the type of cold and hot preference of the user according to the historical set temperature; the air conditioner uploads the current running mode and the current set temperature to a server, and the server determines the target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot after receiving the current running mode and the current set temperature of the air conditioner; the server sends the target set temperature to the air conditioner; after receiving the target set temperature, the air conditioner adjusts the current set temperature to the target set temperature. The implementation manner of each step in this embodiment may be referred to the description of each foregoing embodiment, and will not be repeated herein.

In the embodiment of the method disclosed by the invention, the historical set temperature of the user in the target running mode of the air conditioner is obtained; determining the type of cold and hot preference of a user according to the historical set temperature; determining a target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot, so that the air conditioner can perform temperature adjustment according to the target set temperature; according to the method and the device, the cold and hot preference types of the user are determined through the big data, the current set temperature is adjusted to be the target set temperature matched with the user according to the cold and hot preference types of different users, the intelligent degree of air conditioner temperature adjustment is improved, and user experience is improved.

Fig. 4 is a schematic structural view of an air conditioner temperature adjusting device 40 according to an exemplary embodiment of the present disclosure. As shown in fig. 4, the air conditioner temperature adjusting device 40 includes: an acquisition module 41, a first determination module 42 and a second determination module 43.

Wherein, the obtaining module 41 is configured to obtain a historical set temperature of a user in a target operation mode;

a first determining module 42, configured to determine a type of cold and hot preference of the user according to the historical set temperature;

the second determining module 43 is configured to determine a target set temperature of the user according to the current operation mode, the current set temperature and the preference type of the heat and the cold.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the second determining module 43 is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the preference type of the heat and the cold, determine the target set temperature of the user:

when the current set temperature is greater than or equal to the first temperature and the cold preference type is the cold preference type, reducing the current set temperature by a first temperature change amount to the first set temperature, wherein the first set temperature is greater than or equal to the first temperature;

when the cold preference type is the cold preference type, reducing the current set temperature by a second temperature change amount to a second set temperature, wherein the second set temperature is greater than or equal to the first temperature, and the first temperature change amount is greater than the second temperature change amount;

when the cold and hot preference type is any one of the cold and hot balance type, the warm preference type and the hot preference type, the current set temperature is taken as the third set temperature.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the second determining module 43 is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the preference type of the heat and the cold, determine the target set temperature of the user by:

When the current set temperature is larger than or equal to the second temperature and smaller than the first temperature and the cold preference type is the cold preference type, reducing the current set temperature by a third temperature change amount to a fourth set temperature, wherein the first temperature is larger than the second temperature, and the fourth set temperature is larger than or equal to the second temperature;

when the cold preference type is the cold preference type, reducing the current set temperature by a fourth temperature change amount to a fifth set temperature, wherein the fifth set temperature is more than or equal to the second temperature, and the third temperature change amount is more than the fourth temperature change amount;

when the cold/hot preference type is any one of the cold/hot balance type, the warm preference type and the hot preference type, the current set temperature is taken as the sixth set temperature.

Optionally, the current operation mode is a cooling mode, and the second determining module 43 is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the preference type of the heat and the cold:

and when the current set temperature is smaller than the second temperature, taking the current set temperature as a target set temperature.

Optionally, the current operation mode is a heating mode, and the second determining module 43 is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the preference type of the heat and the cold:

When the current set temperature is equal to or higher than the third temperature, the current set temperature is set as the target set temperature.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: the seventh set temperature, the eighth set temperature, and the ninth set temperature, the second determining module 43 is configured to, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the preference type of the heat and the cold, to:

when the current set temperature is larger than or equal to the fourth temperature and smaller than the third temperature and the cold and hot preference type is the warm preference type, increasing the current set temperature by a fifth temperature change amount to a seventh set temperature, wherein the seventh set temperature is smaller than or equal to the third temperature, and the third temperature is larger than the fourth temperature;

when the cold and hot preference type is the hot preference type, increasing the current set temperature by a sixth temperature change amount to an eighth set temperature, wherein the sixth temperature change amount is larger than the fifth temperature change amount, and the eighth set temperature is smaller than or equal to the third temperature;

when the cold-hot preference type is any one of the cold preference type, the cold preference type and the cold-hot balance type, the current set temperature is taken as a ninth set temperature.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: the tenth set temperature, the eleventh set temperature, and the twelfth set temperature, the second determining module 43, when determining the target set temperature of the user according to the current operation mode, the current set temperature, and the preference type of the heat and the cold, is configured to:

when the current set temperature is smaller than the fourth temperature and the cold preference type is the warm preference type, increasing the current set temperature by a seventh temperature change amount to a tenth set temperature, wherein the tenth set temperature is smaller than or equal to the fourth temperature;

when the cold and hot preference type is the hot preference type, increasing the current set temperature by an eighth temperature change amount to an eleventh set temperature, wherein the eleventh set temperature is smaller than or equal to the fourth temperature, and the eighth temperature change amount is larger than the seventh temperature change amount;

when the cold-hot preference type is any one of the cold preference type, the cold preference type and the cold-hot balance type, the current set temperature is taken as the twelfth set temperature.

Optionally, the first determining module 42 is configured to, when determining the type of cold-hot preference of the user according to the historical set temperature:

acquiring historical set temperatures of other users in a target operation mode;

Determining a first temperature characteristic parameter of a user according to the historical set temperature of the user in the target operation mode, and

Optionally, the first determining module 42 is configured to, when performing a clustering operation on the first temperature characteristic parameter and the second temperature characteristic parameter to obtain a type of cold and hot preference of the user:

determining the number and the types of the clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter;

and clustering the first temperature characteristic parameter and the second temperature characteristic parameter by using a clustering algorithm according to the number and the types of the clusters to obtain the cold and hot preference type of the user.

Optionally, the first determining module 42 is configured to, when determining the number and types of clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter:

And determining the number and the types of the clusters according to the first temperature characteristic parameter and the second temperature characteristic parameter by using a contour coefficient method.

Fig. 5 is a schematic structural view of an air conditioner temperature adjusting device 50 according to an exemplary embodiment of the present disclosure. As shown in fig. 5, the air conditioner temperature adjusting device 50 includes: an uploading module 51, a receiving module 52 and a correcting module 53.

The uploading module 51 is configured to upload a historical set temperature of the user in the target operation mode to the server, so that the server determines a type of cold and hot preference of the user according to the historical set temperature;

a receiving module 52, configured to receive a type of cold and hot preference of a user issued by the server;

the correction module 53 is configured to correct the current set temperature to a target set temperature according to the current operation mode, the current set temperature, and the preference type of the heat and the cold.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the correction module 53 is configured to, when correcting the current set temperature to the target set temperature according to the current operation mode, the current set temperature, and the preference type of the heat and the cold, correct the current set temperature to the target set temperature:

And when the cold preference type is the cold preference type, reducing the current set temperature by a second temperature change amount to a second set temperature, wherein the second set temperature is greater than or equal to the first temperature, and the first temperature change amount is greater than the second temperature change amount.

Optionally, the current operation mode is a cooling mode, and the target set temperature includes: the correction module 53 corrects the current set temperature to the target set temperature according to the current operation mode, the current set temperature, and the preference type of the heat and the cold, and is configured to:

and when the cold preference type is the cold preference type, reducing the current set temperature by a fourth temperature change amount to a fifth set temperature, wherein the fifth set temperature is greater than or equal to the second temperature, and the third temperature change amount is greater than the fourth temperature change amount.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: the seventh set temperature, the eighth set temperature, and the ninth set temperature, the correction module 53 is configured to, when correcting the current set temperature to the target set temperature according to the current operation mode, the current set temperature, and the cooling/heating preference type:

and when the cold and hot preference type is the hot preference type, increasing the current set temperature by a sixth temperature change amount to an eighth set temperature, wherein the sixth temperature change amount is larger than the fifth temperature change amount, and the eighth set temperature is smaller than or equal to the third temperature.

Optionally, the current operation mode is a heating mode, and the target set temperature includes: the tenth set temperature, eleventh set temperature, and twelfth set temperature, the correction module 53 is configured to, when correcting the current set temperature to the target set temperature according to the current operation mode, the current set temperature, and the cooling/heating preference type:

when the cold and hot preference type is the hot preference type, the current set temperature is increased by an eighth temperature change amount to an eleventh set temperature, wherein the eleventh set temperature is less than or equal to the fourth temperature, and the eighth temperature change amount is greater than the seventh temperature change amount.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Fig. 6 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present disclosure. As shown in fig. 6, the electronic device includes: a memory 61 and a processor 62. In addition, the electronic device further comprises a power supply component 63 and a communication component 64.

The memory 61 is used for storing a computer program and may be configured to store other various data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on an electronic device.

The memory 61 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

A communication component 64 for data transmission with other devices.

A processor 62, executable computer instructions stored in memory 61, for: acquiring a historical set temperature of a user in a target operation mode; determining the type of cold and hot preference of a user according to the historical set temperature; and determining the target set temperature of the user according to the current running mode, the current set temperature and the cold and hot preference type.

Accordingly, the disclosed embodiments also provide a computer-readable storage medium storing a computer program. The computer-readable storage medium stores a computer program that, when executed by one or more processors, causes the one or more processors to perform the steps in the method embodiment of fig. 1.

Accordingly, the disclosed embodiments also provide a computer program product comprising a computer program/instructions for executing the steps of the method embodiment of fig. 1 by a processor.

Fig. 7 is a schematic structural view of an air conditioner according to an exemplary embodiment of the present disclosure. As shown in fig. 7, the air conditioner includes: a memory 71 and a processor 72. In addition, the air conditioner further includes a power supply assembly 73 and a communication assembly 74.

The memory 71 is used for storing a computer program and may be configured to store other various data to support operation on an air conditioner. Examples of such data include instructions for any application or method operating on an air conditioner.

The memory 71 may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

A communication component 74 for data transmission with other devices.

A processor 72, executable computer instructions stored in memory 71, for: uploading the historical set temperature of the user in the target operation mode to a server, so that the server can determine the type of cold and hot preference of the user according to the historical set temperature; receiving a cold and hot preference type of a user issued by a server; and correcting the current set temperature to be the target set temperature according to the current running mode, the current set temperature and the cold and hot preference type.

The communication assembly of fig. 6 and 7 described above is configured to facilitate wired or wireless communication between the device in which the communication assembly is located and other devices. The device where the communication component is located can access a wireless network based on a communication standard, such as a mobile communication network of WiFi,2G, 3G, 4G/LTE, 5G, etc., or a combination thereof. In one exemplary embodiment, the communication component receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

The power supply assembly of fig. 6 and 7 provides power to the various components of the device in which the power supply assembly is located. The power components may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the devices in which the power components are located.

The electronic device further comprises an audio component and a display screen.

The display screen includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation.

An audio component, which may be configured to output and/or input an audio signal. For example, the audio component includes a Microphone (MIC) configured to receive external audio signals when the device in which the audio component is located is in an operational mode, such as a call mode, a recording mode, and a speech recognition mode. The received audio signal may be further stored in a memory or transmitted via a communication component. In some embodiments, the audio assembly further comprises a speaker for outputting audio signals.

In the embodiments of the method, apparatus, device, storage medium and computer program product described above, a historical set temperature of a user in a target mode of operation of an air conditioner is obtained; determining the type of cold and hot preference of a user according to the historical set temperature; determining a target set temperature of a user according to the current running mode, the current set temperature and the preference type of cold and hot, so that the air conditioner can perform temperature adjustment according to the target set temperature; according to the method and the device, the cold and hot preference types of the user are determined through the big data, the current set temperature is adjusted to be the target set temperature matched with the user according to the cold and hot preference types of different users, the intelligent degree of air conditioner temperature adjustment is improved, and user experience is improved.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

The above is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An air conditioner temperature adjusting method, comprising:

acquiring a historical set temperature of a user in a target operation mode;

2. The method of claim 1, wherein the current operating mode is a cooling mode, and the target set temperature comprises: the first set temperature, the second set temperature and the third set temperature, wherein the determining the target set temperature of the user according to the current operation mode, the current set temperature and the cold and hot preference type comprises the following steps:

3. The method of claim 1, wherein the current operating mode is a cooling mode, and the target set temperature comprises: a fourth set temperature, a fifth set temperature, and a sixth set temperature, the determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type, comprising:

4. The method of claim 1, wherein the current operating mode is a cooling mode, and wherein determining the target set temperature for the user based on the current operating mode, the current set temperature, and the cold/hot preference type comprises:

5. The method of claim 1, wherein the current operation mode is a heating mode, and wherein the determining the target set temperature of the user based on the current operation mode, the current set temperature, and the cold/hot preference type comprises:

6. The method of claim 1, wherein the current operating mode is a heating mode, and the target set temperature comprises: a seventh set temperature, an eighth set temperature, and a ninth set temperature, the determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cold/hot preference type, comprising:

7. The method of claim 1, wherein the current operating mode is a heating mode, and the target set temperature comprises: tenth, eleventh, and twelfth set temperatures, the determining the target set temperature of the user according to the current operation mode, the current set temperature, and the cooling/heating preference type, comprising:

8. The method of claim 1, wherein said determining the type of cold-hot preference of the user based on the historical set temperature comprises:

9. The method of claim 8, wherein clustering the first temperature characteristic parameter and the second temperature characteristic parameter to obtain the type of cold and hot preference of the user comprises:

10. The method of claim 9, wherein determining the number and type of clusters based on the first temperature characteristic parameter and the second temperature characteristic parameter comprises:

11. An air conditioner temperature adjusting method, comprising:

receiving the cold and hot preference type of the user issued by the server;

12. The method of claim 11, wherein the current operating mode is a cooling mode and the target set temperature comprises: the first set temperature, the second set temperature and the third set temperature, the correcting the current set temperature to the target set temperature according to the current running mode, the current set temperature and the cold and hot preference type includes:

13. The method of claim 11, wherein the current operating mode is a cooling mode and the target set temperature comprises: a fourth set temperature, a fifth set temperature, and a sixth set temperature, the correcting the current set temperature to a target set temperature according to a current operation mode, a current set temperature, and the cold and hot preference type, comprising:

14. The method of claim 11, wherein the current operating mode is a heating mode, and the target set temperature comprises: a seventh set temperature, an eighth set temperature, and a ninth set temperature, the correcting the current set temperature to a target set temperature according to a current operation mode, a current set temperature, and the cold and hot preference type, including:

15. The method of claim 11, wherein the current operating mode is a heating mode, and the target set temperature comprises: tenth, eleventh, and twelfth set temperatures, the correcting the current set temperature to a target set temperature according to a current operation mode, a current set temperature, and the cold and hot preference type, comprising:

16. An air conditioner temperature adjusting device, characterized by comprising:

17. The apparatus of claim 16, wherein the first determination module, when determining the type of cold-hot preference of the user based on the historical set temperature, is to:

18. An air conditioner temperature adjusting device, characterized by comprising:

19. An air conditioner, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the steps of the method of any of claims 1-10 or 11-15.

20. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1-10 or 11-15.

21. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any of claims 1-10 or 11-15.