Paper Info
Title
The Implementation of OBD-II Vehicle Diagnosis System Integrated with Cloud Computation Technology
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.
Year
DOI
Venue
2013
10.1109/RVSP.2013.55
ECC
Keywords
Field
DocType
wireless network,cloud computing server,vehicle dynamics information,vehicle speed,vehicle information,proposed system,vehicle maintenance,vehicle trouble condition,obd-ii vehicle diagnosis system,vehicle type,real-time vehicle status surveillance,cloud computation technology,real time systems,global positioning system,servers,engines,expert systems,maintenance engineering
Wireless network,Computer science,Server,Real-time computing,Vehicle dynamics,Global Positioning System,Vehicle tracking system,Fleet management,Maintenance engineering,Embedded system,Cloud computing
Conference
ISSN
Citations 
PageRank 
2376-9793
4
0.80
References 
Authors
1
4
Name
Order
Citations
PageRank
Jheng-Syu Jhou140.80
Shi-Huang Chen2737.90
Wu-Der Tsay341.48
Mei-Chiao Lai441.48