Development and Implementation of An Intelligent Tire Monitoring System

Kuan Lin Chen; Tian Yi Chen; Li Tzu Yeh; Sheng Jing Yang; Shashank Mishra; Jia Ming Liang; Jen Jee Chen

doi:10.1109/APWCS60142.2023.10233960

Development and Implementation of An Intelligent Tire Monitoring System

Kuan Lin Chen^*, Tian Yi Chen, Li Tzu Yeh, Sheng Jing Yang, Shashank Mishra, Jia Ming Liang, Jen Jee Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The traditional tire pressure monitoring systems can only determine the condition of tires by detecting tire pressure and temperature, lacking the capability to detect realtime anomalies such as wheel deformation, abnormal tire tread wear, foreign objects adhering to the tire, abnormal vibrations, and skidding. Neglecting such conditions while driving can lead to serious accidents. In this paper, we develop and implement an intelligent tire monitoring system that utilizes inertial sensors mounted on the tires to capture real-time tire operating conditions. By integrating machine learning technology, the system dynamically detects abnormal tire conditions and provides instant notifications and displays through a Bluetooth-enabled application on a smartphone.

Original language	English
Title of host publication	Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350316803
DOIs	https://doi.org/10.1109/APWCS60142.2023.10233960
State	Published - 2023
Externally published	Yes
Event	2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023 - Tainan City, Taiwan Duration: 23 08 2023 → 25 08 2023

Publication series

Name	Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023

Conference

Conference	2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023
Country/Territory	Taiwan
City	Tainan City
Period	23/08/23 → 25/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Internet of things
machine learning
tire abnormality
wireless network

Access to Document

10.1109/APWCS60142.2023.10233960

Cite this

Chen, K. L., Chen, T. Y., Yeh, L. T., Yang, S. J., Mishra, S., Liang, J. M., & Chen, J. J. (2023). Development and Implementation of An Intelligent Tire Monitoring System. In Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023 (Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APWCS60142.2023.10233960

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title = "Development and Implementation of An Intelligent Tire Monitoring System",

abstract = "The traditional tire pressure monitoring systems can only determine the condition of tires by detecting tire pressure and temperature, lacking the capability to detect realtime anomalies such as wheel deformation, abnormal tire tread wear, foreign objects adhering to the tire, abnormal vibrations, and skidding. Neglecting such conditions while driving can lead to serious accidents. In this paper, we develop and implement an intelligent tire monitoring system that utilizes inertial sensors mounted on the tires to capture real-time tire operating conditions. By integrating machine learning technology, the system dynamically detects abnormal tire conditions and provides instant notifications and displays through a Bluetooth-enabled application on a smartphone.",

keywords = "Internet of things, machine learning, tire abnormality, wireless network",

author = "Chen, {Kuan Lin} and Chen, {Tian Yi} and Yeh, {Li Tzu} and Yang, {Sheng Jing} and Shashank Mishra and Liang, {Jia Ming} and Chen, {Jen Jee}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023 ; Conference date: 23-08-2023 Through 25-08-2023",

year = "2023",

doi = "10.1109/APWCS60142.2023.10233960",

language = "英语",

series = "Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023",

address = "美国",

}

Chen, KL, Chen, TY, Yeh, LT, Yang, SJ, Mishra, S, Liang, JM & Chen, JJ 2023, Development and Implementation of An Intelligent Tire Monitoring System. in Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023. Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023, Institute of Electrical and Electronics Engineers Inc., 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023, Tainan City, Taiwan, 23/08/23. https://doi.org/10.1109/APWCS60142.2023.10233960

Development and Implementation of An Intelligent Tire Monitoring System. / Chen, Kuan Lin; Chen, Tian Yi; Yeh, Li Tzu et al.
Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chen, Kuan Lin

AU - Chen, Tian Yi

AU - Yeh, Li Tzu

AU - Yang, Sheng Jing

AU - Mishra, Shashank

AU - Liang, Jia Ming

AU - Chen, Jen Jee

PY - 2023

Y1 - 2023

N2 - The traditional tire pressure monitoring systems can only determine the condition of tires by detecting tire pressure and temperature, lacking the capability to detect realtime anomalies such as wheel deformation, abnormal tire tread wear, foreign objects adhering to the tire, abnormal vibrations, and skidding. Neglecting such conditions while driving can lead to serious accidents. In this paper, we develop and implement an intelligent tire monitoring system that utilizes inertial sensors mounted on the tires to capture real-time tire operating conditions. By integrating machine learning technology, the system dynamically detects abnormal tire conditions and provides instant notifications and displays through a Bluetooth-enabled application on a smartphone.

AB - The traditional tire pressure monitoring systems can only determine the condition of tires by detecting tire pressure and temperature, lacking the capability to detect realtime anomalies such as wheel deformation, abnormal tire tread wear, foreign objects adhering to the tire, abnormal vibrations, and skidding. Neglecting such conditions while driving can lead to serious accidents. In this paper, we develop and implement an intelligent tire monitoring system that utilizes inertial sensors mounted on the tires to capture real-time tire operating conditions. By integrating machine learning technology, the system dynamically detects abnormal tire conditions and provides instant notifications and displays through a Bluetooth-enabled application on a smartphone.

KW - Internet of things

KW - machine learning

KW - tire abnormality

KW - wireless network

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DO - 10.1109/APWCS60142.2023.10233960

M3 - 会议稿件

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T3 - Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023

BT - Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 23 August 2023 through 25 August 2023

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Chen KL, Chen TY, Yeh LT, Yang SJ, Mishra S, Liang JM et al. Development and Implementation of An Intelligent Tire Monitoring System. In Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings - 2023 VTS Asia Pacific Wireless Communications Symposium, APWCS 2023). doi: 10.1109/APWCS60142.2023.10233960

Development and Implementation of An Intelligent Tire Monitoring System

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Keywords

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