Rapid sensing technology of highway pavement diseases based on a wireless dynamic tire pressure monitoring system

Wei Ye; Fei Chen; Xiaoyang Hu

doi:10.1117/12.3014838

4 March 2024 Rapid sensing technology of highway pavement diseases based on a wireless dynamic tire pressure monitoring system

Wei Ye, Fei Chen, Xiaoyang Hu

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129812M (2024) https://doi.org/10.1117/12.3014838
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

This paper proposes a wireless dynamic tire pressure monitoring system that utilizes electromagnetic induction-based wireless power supply technology to address the issue of wireless power supply for on-wheel pressure sensors. The system utilizes an IEPE pressure sensor, a 24-bit A/D conversion circuit, and a bluetooth MCU circuit to achieve high-frequency and high-resolution acquisition of dynamic tire pressure signals. The collected signals are then transmitted to a bluetooth receiver and converted into USB communication data for storage in the host computer by using bluetooth communication technology. Finally, the root mean square of the speed-corrected and frequency-weighted dynamic tire pressure signals is defined as the equivalent dynamic tire pressure. Various tests demonstrate that the system performs well in terms of wireless power supply and data transmission. The speed-dynamic tire pressure fitting algorithm can effectively suppress the impact of driving speed on dynamic tire pressure, enabling the equivalent dynamic tire pressure to respond effectively to pavement materials and typical diseases.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Ye, Fei Chen, and Xiaoyang Hu "Rapid sensing technology of highway pavement diseases based on a wireless dynamic tire pressure monitoring system", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129812M (4 March 2024); https://doi.org/10.1117/12.3014838

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