The Implementation of OBD-II Vehicle Diagnosis System Integrated with Cloud Computation Technology

  • Jheng-Syu Jhou
  • Shi-Huang Chen
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 297)

Abstract

This paper implemented a cloud computation based second generation on-board diagnostic (OBD-II) system. The proposed system is integrated with OBD-II, 3.5G wireless network, and cloud computing technologies. It can perform real-time vehicle status surveillance. The monitored features cover engine rpm, vehicle speed, coolant temperature, fault codes, and other vehicle dynamics information. The vehicle information will be transmitted to the cloud computing server via 3.5G wireless network for fault analysis. Once cloud computing server detects fault conditions, the proposed system could classify the fault conditions depended on vehicle type and its model year. Then the cloud computing server will report the fault code analysis results to the user and provide the description about repair procedure. The proposed system will greatly shorten the time to detect vehicle trouble condition. The system presented in this thesis has a very high value in the applications of vehicle maintenance and fleet management.

Keywords

On board diagnostics (OBD) cloud computing vehicle repair information android system 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jheng-Syu Jhou
    • 1
  • Shi-Huang Chen
    • 1
  1. 1.Department of Computer Science & Information EngineeringShu-Te UniversityYanchao Dist., Kaohsiung CityTaiwan (R.O.C.)

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