基於Esp8266物聯網平台和深度學習技術的智慧輪胎檢測系統設計與實現
The tire pressure monitoring system (TPMS) sold on the market can only judge the tire status by measuring the tire pressure and tire temperature, and cannot detect such things as: wheel frame deformation, abnormal tread peeling, foreign objects attached to the tire, abnormal vibration and skidding,...
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Veröffentlicht in: | International Journal of Science and Engineering 2023-10, Vol.13 (2), p.075-096 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | chi |
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Zusammenfassung: | The tire pressure monitoring system (TPMS) sold on the market can only judge the tire status by measuring the tire pressure and tire temperature, and cannot detect such things as: wheel frame deformation, abnormal tread peeling, foreign objects attached to the tire, abnormal vibration and skidding, etc. If the tire is abnormal, if the driver is negligent, it will cause serious harm. Therefore, we design a set of smart tire system, through the measurement of inertial sensing information during tire operation, including: three-axis acceleration, angular velocity, absolute direction, combined with the identification technology of AI algorithm, dynamically detect abnormal tire conditions, and Realize the design of the following IoT platform components: 1. The hardware device installed on the wheel frame can detect abnormal values during tire travel. 2. It has real-time monitoring and abnormal reminders, maintenance suggestions, and a discussion platform for riders, etc. Functional mobile phone application, 3. Bas |
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ISSN: | 2223-4489 |