A fan wheel cleaning detection method and device

By receiving the three-phase current signal and speed data of the dryer fan, the system uses a cleaning detection model to identify the degree of dirt on the impeller and generates a water spray cleaning instruction. This solves the problems of untimely impeller blockage detection and uncertain cleaning effect in existing technologies, and realizes intelligent cleaning detection and cleaning of the impeller.

CN122280889APending Publication Date: 2026-06-26GREE ELECTRIC APPLIANCE INC OF ZHUHAI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GREE ELECTRIC APPLIANCE INC OF ZHUHAI
Filing Date
2026-05-14
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies make it difficult to detect the blockage of the dryer fan impeller in a timely and accurate manner, resulting in reduced air volume, increased power consumption and noise, and making it difficult to determine the cleaning effect, which affects the dynamic balance of the impeller and the wear of the motor bearings.

Method used

By receiving the three-phase current signal from the fan, extracting the power signal and speed data, using a cleaning detection model to identify the degree of dirt on the impeller, and generating a water spray cleaning instruction, including cleaning time and frequency, to achieve intelligent impeller cleaning detection.

Benefits of technology

It enables real-time intelligent judgment and accurate cleaning of impeller cleanliness, improves the accuracy of impeller cleanliness judgment, reduces lint residue, and protects the impeller dynamic balance and motor bearings.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application relates to the field of general wind turbine / impeller fault diagnosis or condition monitoring technology, specifically to a wind turbine impeller cleaning detection method and apparatus. The method includes: receiving a three-phase current signal of the wind turbine at a target time, and obtaining the power signal and speed data of the wind turbine at the target time from the three-phase current signal; extracting feature data of the three-phase current signal from the three-phase current signal, the power signal, and / or the speed data; inputting the feature data into a cleaning detection model to obtain the degree of dirtiness of the impeller in the wind turbine at the target time; and generating and sending a cleaning instruction matching the degree of dirtiness when the degree of dirtiness reaches a target level, wherein the cleaning instruction includes a water spray cleaning time and / or a water spray cleaning frequency matching the cleaning detection result.
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