CN-121995992-A - Temperature control method and device and electronic equipment

CN121995992ACN 121995992 ACN121995992 ACN 121995992ACN-121995992-A

Abstract

The application provides a temperature control method, a temperature control device and electronic equipment, and relates to the technical field of intelligent home. The method comprises the steps of collecting air conditioner temperature information set by a user at a plurality of moments in a designated time period, determining prior state temperature estimation information corresponding to each moment according to the air conditioner temperature information set by each moment and posterior state temperature estimation information corresponding to each moment, determining air conditioner target set temperature corresponding to the designated time period according to the prior state temperature estimation information corresponding to each moment, and controlling the temperature of an air conditioner according to the target set temperature. Through gathering the air conditioner temperature information that the user set up many times in appointed time quantum, based on Kalman filtering algorithm, realized through the constant iterative habit of learning user's setting up air conditioner temperature, confirm the air conditioner setting temperature who matches with the user to control the air conditioner and operate according to the setting temperature of determining, provide the best temperature of feeling for the user, satisfy user's comfort level demand.

Inventors

LI XINGJIA
ZHOU CHENGHU
GONG ZUOYONG
YANG LONGSHENG
XIE YALI
ZHANG LI

Assignees

上海良信电器股份有限公司

Dates

Publication Date: 20260508
Application Date: 20241105

Claims (10)

1. A method of controlling temperature, comprising: Acquiring air conditioner temperature information set by a user at a plurality of moments within a specified time period; According to the air conditioner temperature information set at each moment and the posterior state temperature estimation information corresponding to each moment, determining prior state temperature estimation information corresponding to each moment; And determining the target set temperature of the air conditioner corresponding to the designated time period according to the prior state temperature estimation information corresponding to each moment, and controlling the temperature of the air conditioner according to the target set temperature.
2. The method according to claim 1, wherein the determining the prior state temperature estimation information corresponding to each time according to the air conditioner temperature information set at each time and the posterior state temperature estimation information corresponding to each time includes: Determining posterior state temperature estimation information corresponding to the last moment according to indoor temperature measurement value of the last moment of the current moment, priori state temperature estimation information corresponding to the last moment and Kalman gain information of the last moment, wherein the current moment is any moment except the first moment in the plurality of moments; and determining prior state temperature estimation information corresponding to the current moment according to the posterior state temperature estimation information corresponding to the last moment and the air conditioner temperature information set at the last moment.
3. The method as recited in claim 2, further comprising: and determining prior state temperature estimation information corresponding to the initial time according to the initial posterior state temperature estimation information corresponding to the initial time and the reference air conditioner temperature information of the initial time.
4. The method of claim 2, wherein the calculation of the kalman gain information comprises: Determining a priori state temperature estimation covariance matrix at the current moment according to the posterior state temperature estimation covariance matrix at the last moment, the system state transition matrix and the covariance matrix of the noise system; according to the prior state temperature estimation covariance matrix, the system output matrix and the covariance matrix of the measurement noise at the current moment, determining Kalman gain information at the current moment; And updating the posterior state temperature estimation covariance matrix at the current moment according to the Kalman gain information at the current moment and the prior state temperature estimation covariance matrix at the current moment.
5. The method according to claim 2, wherein the determining the prior state temperature estimation information corresponding to the current time according to the posterior state temperature estimation information corresponding to the previous time and the air conditioner temperature information set at the previous time includes: Determining the air conditioner operation power at the previous moment according to the air conditioner temperature information set at the previous moment, wherein the air conditioner operation power comprises refrigeration power and dehumidification power; and determining prior state temperature estimation information corresponding to the current moment according to the posterior state temperature estimation information corresponding to the last moment and the air conditioner running power at the last moment.
6. The method according to claim 1, wherein the determining the air conditioner target setting temperature corresponding to the specified time period according to the prior state temperature estimation information corresponding to each time point includes: If the difference value of the prior state temperature estimation information corresponding to at least two continuous adjacent moments is smaller than a preset threshold value, determining the prior state temperature estimation information corresponding to the last moment in the continuous adjacent moments as the air conditioner target set temperature corresponding to the appointed time period.
7. The method according to claim 1, wherein the temperature control of the air conditioner according to the target set temperature includes: and controlling the air conditioner to operate according to the wind speed corresponding to the target set temperature.
8. The method of claim 7, wherein the controlling the air conditioner after operating at the wind speed corresponding to the target set temperature further comprises: Acquiring a current temperature value and a current humidity value acquired by a temperature and humidity sensor, and acquiring a wind speed value received by a user acquired by a wind speed sensor; And determining a temperature sensing estimated value of the user according to the current temperature value, the current humidity value and the wind speed value received by the user.
9. The temperature control device is characterized by comprising an acquisition module, a determination module and a control module; the acquisition module is used for acquiring air conditioner temperature information set by a user at a plurality of moments in a designated time period; the determining module is used for determining prior state temperature estimation information corresponding to each moment according to the air conditioner temperature information set at each moment and the posterior state temperature estimation information corresponding to each moment; the control module is used for determining the target setting temperature of the air conditioner corresponding to the designated time period according to the prior state temperature estimation information corresponding to each moment, and controlling the temperature of the air conditioner according to the target setting temperature.
10. An electronic device comprising a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is in operation, the processor executing the program instructions to implement the temperature control method of any one of claims 1 to 8.

Description

Temperature control method and device and electronic equipment Technical Field The application relates to the technical field of intelligent home, in particular to a temperature control method and device and electronic equipment. Background Along with the improvement of the requirements of people on life quality, the intelligent home system gradually goes into thousands of households. The user does not need to actively control the switch, but the intelligent home system automatically provides comfortable indoor temperature, illumination and the like for the user. At present, the intelligent home system sets the refrigerating temperature of an air conditioner to be a fixed value so as to provide indoor temperature meeting requirements for most users. However, due to individual differences of users, different users have different somatosensory feelings about the fixed refrigeration temperature, and refrigeration is performed according to the fixed refrigeration temperature, so that individual requirements of the users cannot be met. Disclosure of Invention The application aims to provide a temperature control method, a temperature control device and electronic equipment aiming at the defects in the prior art, so that the personalized setting of the air conditioner temperature matched with the user body temperature is realized, and the indoor living comfort of a user is improved. In order to achieve the above purpose, the technical scheme adopted by the embodiment of the application is as follows: in a first aspect, an embodiment of the present application provides a temperature control method, including: Acquiring air conditioner temperature information set by a user at a plurality of moments within a specified time period; According to the air conditioner temperature information set at each moment and the posterior state temperature estimation information corresponding to each moment, determining prior state temperature estimation information corresponding to each moment; And determining the target set temperature of the air conditioner corresponding to the designated time period according to the prior state temperature estimation information corresponding to each moment, and controlling the temperature of the air conditioner according to the target set temperature. Optionally, the determining the prior state temperature estimation information corresponding to each time according to the air conditioner temperature information set at each time and the posterior state temperature estimation information corresponding to each time includes: Determining posterior state temperature estimation information corresponding to the last moment according to indoor temperature measurement value of the last moment of the current moment, priori state temperature estimation information corresponding to the last moment and Kalman gain information of the last moment, wherein the current moment is any moment except the first moment in the plurality of moments; and determining prior state temperature estimation information corresponding to the current moment according to the posterior state temperature estimation information corresponding to the last moment and the air conditioner temperature information set at the last moment. Optionally, the method further comprises: and determining prior state temperature estimation information corresponding to the initial time according to the initial posterior state temperature estimation information corresponding to the initial time and the reference air conditioner temperature information of the initial time. Optionally, the calculation process of the kalman gain information includes: Determining a priori state temperature estimation covariance matrix at the current moment according to the posterior state temperature estimation covariance matrix at the last moment, the system state transition matrix and the covariance matrix of the noise system; according to the prior state temperature estimation covariance matrix, the system output matrix and the covariance matrix of the measurement noise at the current moment, determining Kalman gain information at the current moment; And updating the posterior state temperature estimation covariance matrix at the current moment according to the Kalman gain information at the current moment and the prior state temperature estimation covariance matrix at the current moment. Optionally, the determining the prior state temperature estimation information corresponding to the current moment according to the posterior state temperature estimation information corresponding to the previous moment and the air conditioner temperature information set at the previous moment includes: Determining the air conditioner operation power at the previous moment according to the air conditioner temperature information set at the previous moment, wherein the air conditioner operation power comprises refrigeration power and dehumidification power; and determining prior state t