An Approach to Parse and Match Vehicle Diagnostic Information Based on XML

Zhi Yu Huang; Bei Xin Chen; Xiao Fang Sun

doi:10.4028/www.scientific.net/AMM.513-517.1119

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517An Approach to Parse and Match Vehicle Diagnostic...

An Approach to Parse and Match Vehicle Diagnostic Information Based on XML

Abstract:

To solve the problem of updating the software for Vehicle Fault Diagnose Instrument frequently, paper proposed an approach to realize the technology of parsing and matching vehicle diagnostic information based on XML database. Paper discussed the theory and process of the approach and used it to develop the Vehicle Diagnose Instrument based on Android OS. The testing result shows that this approach could be easily realized and improved the efficiency of updating the vehicle information.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

1119-1122

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.1119

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Online since:

February 2014

Authors:

Zhi Yu Huang*, Bei Xin Chen, Xiao Fang Sun

Keywords:

Android OS, Update, Vehicle Diagnostic Information, XML Database

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* - Corresponding Author

References

[1] Hu Jie, Li Hongfei, Sheng Xiangzheng. Development and Research of Vehicle Fault Diagnosis System[R]. Power and Energy Engineering Conference(APPEEC), 2012 Aisa-Pacific.

Google Scholar

[2] Yazhou Xiang, Bin Zhang, Guohui Li. The Application and Analysis of Netconf Subtree Filtering based on SAX and DOM[R]. Measuring Technology and Mechatronics Automation(ICMTMA), 2010 International Conference on.

DOI: 10.1109/icmtma.2010.562

Google Scholar

[3] Ashraf Tahat, Ahmad Said, Fouad Jaouni, Waleed Qadamani. Android-Based Universal Vehicle Diagnostic and Tracking System[R]. Consumer Electronics (ISCE), 2012 IEEE 16th International Symposium on.

DOI: 10.1109/isce.2012.6305105

Google Scholar

[4] Jorge Zaldivar, Carlos T. Calafate, juan Carlos Cano, Pietro Manzoni. Providing Accident Detection in Vehicular Networks Through OBD-II Devices and Android-based Smartphones[R]. Local Computer Networks (LCN), 2011 IEEE 36th Conference on.

DOI: 10.1109/lcn.2011.6115556

Google Scholar

[5] Monica Salcianu, Cristian Fosalau. A New CAN Diagnostic Fault Simulator Based on UDS Protocol[R]. Electrical and Power Engineering(PEP), 2012 International Conference and Exposition on.

DOI: 10.1109/icepe.2012.6463580

Google Scholar

[6] Aidong Xu, LIli Liu, Yan Song, Ya Zhou. Research and Development of Vehicle Fault Diagnostic Protocol ISO15765[R]. Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on.

DOI: 10.1109/tmee.2011.6199430

Google Scholar