Sleep intelligent control method and controller of air conditioner, air conditioner and storage medium

By acquiring user action status, ambient sound and light intensity information, and combining it with the air conditioner's operating mode and temperature threshold, the system dynamically adjusts the air conditioner's operating status, solving the problem of insufficient intelligence in the air conditioner's sleep mode and improving the user's sleep experience.

CN121089181BActive Publication Date: 2026-06-09ANHUI ENBOLI ELECTRIC CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ANHUI ENBOLI ELECTRIC CO LTD
Filing Date
2025-08-04
Publication Date
2026-06-09

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  • Figure CN121089181B_ABST
    Figure CN121089181B_ABST
Patent Text Reader

Abstract

The application discloses a sleep intelligent control method and a controller of an air conditioner, the air conditioner and a storage medium, relates to the technical field of air conditioner control, and the method is applied to the controller of the air conditioner, and the method comprises the following steps: acquiring a user action state value, environment sound information, a light intensity level and an indoor environment temperature in a monitoring range; in the case that it is monitored that a user is in a sleep state, determining a current user sleep scene according to the environment sound information and the light intensity level; dynamically adjusting the running state of the air conditioner according to the current air conditioner running mode, the user sleep scene, the indoor environment temperature, preset temperature threshold information and the user action state value, so as to adjust the temperature in the monitoring range. The application can improve the intelligent control degree of the air conditioner and improve the sleep experience of a user.
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Claims

1. A method for intelligent sleep control of an air conditioner, characterized in that, The method, applied to a controller for an air conditioner, includes: Acquire user action status values, environmental sound information, light intensity level, and indoor ambient temperature within the monitoring range; If the user is detected to be asleep, the current user sleep scenario is determined based on the ambient sound information and the light intensity level. Based on the current air conditioning operating mode, the user's sleep scenario, the indoor ambient temperature, preset temperature threshold information, and the user's action status value, the operating status of the air conditioner is dynamically adjusted to regulate the temperature within the monitoring range. The step of determining the current user sleep scenario based on the ambient sound information and the light intensity level includes: The ambient sound information is used to obtain sound state values, volume levels, and sound scene flag values; wherein, a sound state value of 1 indicates a quiet state; a higher volume level indicates a louder volume; and different sound scene flag values ​​indicate different sound scenes. If the light intensity level is less than or equal to the first light intensity level, the sound state value is equal to 1, and the volume level and the sound scene flag value are less than or equal to the first discrimination threshold, the current user sleep scene is determined to be a deep sleep scene. If the light intensity level is less than or equal to the second light intensity level, the sound state value is equal to 1, the volume level and the sound scene flag value are less than or equal to the second discrimination threshold, the current user sleep scene is determined to be a moderate sleep scene; wherein, the second light intensity level is greater than the first light intensity level, and the second discrimination threshold is greater than the first discrimination threshold; If the light intensity level is less than or equal to the third light intensity level, the sound state value is equal to 1, the volume level and the sound scene flag value are less than or equal to the third discrimination threshold, the current user sleep scene is determined to be a light sleep scene; wherein, the third light intensity level is greater than the second light intensity level, and the third discrimination threshold is greater than the second discrimination threshold.

2. The sleep intelligent control method for an air conditioner according to claim 1, characterized in that, The air conditioner includes an indoor unit and an outdoor unit, the indoor unit including an indoor fan; the preset temperature threshold information includes a first temperature threshold. The method of dynamically adjusting the operating state of the air conditioner based on the current air conditioner operating mode, the user's sleep scenario, the indoor ambient temperature, preset temperature threshold information, and the user's action status value includes: When the current air conditioning operation mode is cooling mode, and the indoor ambient temperature is not lower than the first temperature threshold, the indoor fan is controlled to operate according to the preset fan speed, and the compressor frequency of the outdoor unit is controlled according to the frequency fuzzy control algorithm. When the indoor ambient temperature is lower than the first temperature threshold, a cycle is determined based on the user's sleep scenario and the indoor ambient temperature. Based on the current indoor ambient temperature and the received user action status values ​​within the cycle, the indoor fan speed is adjusted to determine the first target fan speed, so that the air conditioner operates at the first target fan speed.

3. The sleep intelligent control method for an air conditioner according to claim 2, characterized in that, The air conditioner includes an indoor unit and an outdoor unit, the indoor unit including an indoor fan; the preset temperature threshold information includes a second temperature threshold; the second temperature threshold is less than the first temperature threshold. The method of dynamically adjusting the operating state of the air conditioner based on the current air conditioner operating mode, the user's sleep scenario, the indoor ambient temperature, preset temperature threshold information, and the user's action status value includes: When the current air conditioning operation mode is heating mode, and the indoor ambient temperature is not greater than the second temperature threshold, the indoor fan is controlled to operate according to the preset fan speed, and the compressor frequency of the outdoor unit is controlled according to the frequency fuzzy control algorithm. When the indoor ambient temperature is greater than the second temperature threshold, the cycle is determined based on the user's sleep scenario and the indoor ambient temperature. Based on the current indoor ambient temperature and the received user action status value within the cycle, the indoor fan speed is adjusted to determine the second target fan speed, so that the air conditioner operates at the second target fan speed.

4. The sleep intelligent control method for an air conditioner according to claim 2, characterized in that, The method further includes: When the air conditioner is in cooling mode, the temperature of the first heat exchanger is obtained during the process of determining the first target fan speed by adjusting the indoor fan speed. The condensation state is determined based on the temperature of the first heat exchanger of the indoor unit; The upper limit speed of the first compressor is determined by looking up a table in the first preset speed table based on the condensation state. The air conditioner is equipped with an indoor anti-drip control system, and its operation is controlled according to the upper limit speed of the first compressor.

5. The sleep intelligent control method for an air conditioner according to claim 2, characterized in that, The method further includes: When the air conditioner is in cooling mode, the temperature of the second heat exchanger is obtained during the process of determining the first target fan speed by adjusting the indoor fan speed. The freezing state is determined based on the temperature of the second heat exchanger of the indoor unit; The upper limit speed of the second compressor is determined by looking up a table in the second preset speed table according to the frozen state. The air conditioner is subjected to indoor anti-freeze control, and the operation of the air conditioner is controlled according to the upper limit speed of the second compressor.

6. The sleep intelligent control method for an air conditioner according to any one of claims 2 to 3, characterized in that, The air conditioner also includes a fresh air deflector and a fresh air motor, and the method further includes: In response to the fresh air start signal, the fresh air guide damper is opened to the initial position; The speed of the continuously operating internal fan and the carbon dioxide concentration within the monitoring range are obtained. When the speed of the internal fan is greater than the speed threshold, the fresh air motor is started. When the fresh air motor is in automatic wind speed adjustment mode, the wind speed of the fresh air motor is switched according to the carbon dioxide concentration.

7. A controller, characterized in that, It includes at least one processor and a memory for communicatively connecting to the at least one processor; the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the sleep intelligent control method for an air conditioner as described in any one of claims 1 to 6.

8. A smart air conditioner, characterized in that, Includes the controller as described in claim 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the sleep intelligent control method for an air conditioner as described in any one of claims 1 to 6.