Method, device, air conditioner and computer-readable storage medium for air conditioning energy saving

By predicting the air conditioner status and implementing repair strategies or predicting the optimal operating parameters, the problem of increased energy consumption after the long-term use of the air conditioner state is solved, and the self-perception, self-repair and self-regulation of the air conditioner is realized, and the long-term energy-saving operation effect is improved.

CN118705724BActive Publication Date: 2025-03-21QINGDAO HAIER AIR CONDITIONER GENERAL CORP LTD +1
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Patent Information

Application Number
CN202410865670.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-28
Publication Date
2025-03-21
Estimated Expiration
2044-06-28

AI Technical Summary

Technical Problem

After the state of the air conditioner used for a long time changes, the original optimal operating parameters cannot meet its optimal operation, resulting in increased energy consumption and long-term energy consumption problems.

Method used

By obtaining the hardware parameters and status prediction model of the air conditioner, predict the air conditioner status; implement a repair strategy when the preset repair conditions are met; if the status cannot be repaired, use the parameter prediction model to predict the optimal operating parameters.

Benefits of technology

It realizes self-perception, self-repair and self-regulation of the air conditioner status, and improves the effect of long-term energy-saving operation.

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Abstract

The present application relates to the technical field of air conditioning, and discloses a method for air conditioning energy saving, including: obtaining the hardware parameters and state prediction model of the air conditioner; predicting the state of the air conditioner according to the hardware parameters and the state prediction model; when the state of the air conditioner meets the preset repair conditions, controlling the air conditioner to execute the corresponding repair strategy; when the state of the air conditioner cannot be repaired, inputting the predicted state of the air conditioner into the parameter prediction model to predict the optimal operating parameters of the air conditioner. In this way, by predicting the state of the air conditioner, executing the repair strategy, and predicting the optimal operating parameters, the self-perception, self-repair, and self-regulation of the state of the air conditioner are achieved, and finally the effect of long-term energy saving is achieved and improved. The present application also discloses a device for air conditioning energy saving, an air conditioner, and a computer-readable storage medium.
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