Clothes drying machine fault handling system based on smart speaker
Through the smart speaker, the wear value of the clothesline is analyzed, the average value and difference value are calculated, the wear curve is drawn, the remaining life is predicted and the voice feedback is provided, which solves the problem of insufficient intelligence of the clothesline and improves the safety and life of the clothesline.
CN116577229BActive Publication Date: 2025-08-12JIANGYIN YOUBANG HOUSEWARES
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Patent Information
- Application Number
- CN202310359892.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-04-06
- Publication Date
- 2025-08-12
- Estimated Expiration
- 2043-04-06
AI Technical Summary
Technical Problem
The existing clothes dryers are not intelligent enough to monitor the status of the clothes drying line in real time, resulting in the inability to provide timely feedback and processing, affecting the safety of the clothes drying line.
Method used
The wear value of the clothesline is obtained through the analysis module of the smart speaker, the wear average and difference value are calculated, the wear standard curve is drawn, the remaining life of the clothesline is predicted, and safety feedback is provided through the voice module.
Benefits of technology
Real-time monitoring and prediction of the wear of clotheslines is achieved, the safety and life of the clotheslines are improved, and the reasonable use of clotheslines is ensured.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses a clothes drying machine fault processing system based on a smart speaker, comprising: an analysis module, which obtains the wear value Zm of each detection segment; i , and construct the wear value set A{Zm1, Zm2, ..., Zm i}; According to the subset in the set A, the average wear value ZJm is calculated; the wear difference ZCm is calculated; and the wear standard value ZBS of the clothesline is calculated, wherein a1 and a2 are both proportional coefficients; the obtained clothesline wear standard value ZBS is compared with the wear standard threshold; if it is greater than, a clothesline abnormal signal is generated; if it is less than, a clothesline normal signal is generated. The present invention analyzes and judges the wear condition of the clothesline, and makes a prediction, so that the use of the clothesline can be safer and its service life is increased.
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