Air conditioning equipment, fault diagnosis method and device thereof and computer readable storage medium

By generating dynamic fault diagnosis thresholds using a fault-free time-series prediction model and the Monte Carlo random deactivation method, and combining the time-series change trend with the threshold exceedance criterion, the problem of poor generalization ability of air conditioning equipment fault diagnosis methods is solved, achieving high accuracy and early fault warning.

CN121701983APending Publication Date: 2026-03-20GD MIDEA HEATING & VENTILATING EQUIP CO LTD +1
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Patent Information

Application Number
CN202511936736.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-19
Publication Date
2026-03-20

AI Technical Summary

Technical Problem

Existing fault diagnosis methods for air conditioning equipment rely on expert experience, have poor generalization ability, require a lot of manual parameter tuning, and are difficult to achieve high accuracy and robustness under operating conditions. In particular, they are difficult to effectively warn of early-stage, slowly changing faults when facing different systems or equipment types.

Method used

A fault-free timing prediction model is adopted. By acquiring the operating parameters and status parameters of the air conditioning equipment, a dynamic fault diagnosis threshold is generated using the Monte Carlo random deactivation method. The diagnosis is then performed by combining the timing change trend and the threshold exceedance as dual criteria.

Benefits of technology

It achieves dynamic adaptive generation of diagnostic thresholds, improves diagnostic accuracy and operational robustness, and significantly enhances the early warning capability for early-stage, slowly changing faults.

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Abstract

The invention belongs to the technical field of air conditioners, and discloses air conditioning equipment, a fault diagnosis method and device of the air conditioning equipment and a computer readable storage medium. The fault diagnosis method for the air conditioning equipment comprises the steps that a fault-free time sequence prediction model of the air conditioning equipment, operation parameters of the air conditioning equipment at all moments within a first preset duration, corresponding actual state parameters of the air conditioning equipment under the operation parameters and the change trend of the actual state parameters are obtained, and all the moments comprise the current moment; inputting the operation parameters into a fault-free time sequence prediction model to obtain prediction state parameter distribution information of the air conditioning equipment; determining a fault diagnosis threshold range of the air conditioning equipment according to the predicted state parameter distribution information; and performing fault diagnosis on the air conditioning equipment according to the actual state parameter at the current moment, the fault diagnosis threshold range and the change trend. According to the method, dynamic self-adaptive generation of the diagnosis threshold can be realized, the diagnosis accuracy and the working condition robustness are improved, and the early warning capability for early-stage slowly-changing faults is remarkably enhanced.
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