Washing machine abnormal sound detection method and apparatus, electronic device, and storage medium
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Solution Overview
Problem
Existing washing machine abnormal sound detection systems suffer from low accuracy due to noise interference from machine vibrations and require manual assistance for maintenance, leading to inefficiencies and inaccuracies in identifying and analyzing the cause of abnormal sounds.
Innovation Solution
A method and apparatus that combines sound and vibration data analysis using device-specific algorithms to determine the position and cause of abnormal sounds, integrating data acquisition, analysis, and automated maintenance guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual detection is used for abnormal sound detection, then detection can be performed, but detection accuracy is low due to subjective factors and auditory fatigue
Solution Approach 1:
The patent replaces manual auditory detection with an automated sound detection system that uses microphones, signal processing units, and analysis algorithms to detect and analyze abnormal sounds. This substitution eliminates subjective factors and auditory fatigue while maintaining high detection accuracy, thereby improving both measurement precision and productivity.
2Productivity
If automated sound detection systems are applied, then productivity is improved, but detection accuracy deteriorates due to noise interference from machine vibrations
Solution Approach 1:
The patent segments the sound detection process into multiple independent analysis components: vibration signal processing, sound signal processing, and integrated analysis. By separating these functions and processing them independently before integration, the system can effectively filter out vibration noise while preserving abnormal sound detection accuracy, thus maintaining both productivity and measurement precision.
Solution Approach 2:
The patent introduces an intermediary analysis layer that processes both vibration and sound signals separately before combining them for final abnormal sound detection. This intermediary processing stage acts as a mediator that can distinguish between vibration-generated noise and actual abnormal sounds, thereby improving detection accuracy while maintaining automated productivity.
3Extent of automation
If sound detection alone is used, then abnormal sound can be detected, but the cause and position of abnormal sound cannot be analyzed, requiring manual assistance
Solution Approach 1:
The patent merges sound detection with vibration detection into an integrated analysis system. By combining these two detection methods, the system can not only detect abnormal sounds but also analyze their causes and positions through correlated vibration patterns. This integration achieves complete automation while preserving full diagnostic information, eliminating the need for manual assistance.
Data Source
AI summary
Provided are a washing machine abnormal sound detection method and apparatus, an electronic device, and a storage medium. The method includes acquiring target sound data and target vibration data of a to-be-detected washing machine; selecting a matching sound analysis algorithm and a matching vibration analysis algorithm to analyze the target sound data and the target vibration data according to device identification information of the to-be-detected washing machine; determining the position at which an abnormal sound is generated in the to-be-detected washing machine and the cause of the abnormal sound according to the sound data analysis result and the vibration data analysis result.