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CONNECTED VEHICLE REMOTE DIAGNOSTIC SYSTEM

А. В. Остроух

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.1/s07.032View metrics

Abstract

The article describes the concept connected vehicle remote diagnostic system intended to increase the useful life of the vehicle and provide a simple interaction with the service center. In article the substantiation of mathematical model of communications in system of diagnostics of an electric equipment of cars in a kind, suitable for mathematical processing is resulted. It is offered to use model at which all making systems are represented in the form of structure of final automatic machines. By means of large-scale and large-capacity data exchange across multiple systems, connected car solution performs global traffic control on every connected vehicle and real-time traffic control on every connected road, thereby improving transportation efficiency and ensuring traffic safety. This future-oriented solution also provides predictive maintenance, advanced driver assistant system analysis, artificial intelligence (such as personal assistant), vehicle-road coordination services, and fault demarcation capabilities. Remote diagnostics allow service centers and emergency support to diagnose at a distance and to prepare for dealing with a vehicle that is in the path or in the service center.

Publication Impact Profile

Publication details

Title
CONNECTED VEHICLE REMOTE DIAGNOSTIC SYSTEM
Authors
А. В. Остроух
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
247-254
SWS Citekey
Ostroukh20187247254
ISSN
1314-2704
ISBN
978-619-7408-39-3
Language
en
Publication type
Conference Paper
Keywords
References15
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  2. Ostroukh, A.V. & Surkova N.E. (2015). Intelligence Information Systems and Technologies. Krasnoyarsk, RU: Publishing House Science and Innovation Center, Ltd.

  3. Ostroukh A.V., Ivakhnenko A.M., Krupenskiy N.A., Borisov F.A. Concept of the Automated Control System for Vehicle Remote Diagnostic // International Journal of Applied Engineering Research. 2015. Vol. 10. No 19. pp. 40050-40053.

  4. Maksimychev O.I., Ostroukh A.V., Zbavitel P.Yu., Ivakhnenko A.M., Ephimenko D.B., Karelina M.Y. Technology of Monitoring and Control Algorithm Design for Earth-Moving Machine // International Journal of Applied Engineering Research. 2016. Vol. 11. No 9. pp. 6430-6434.

  5. Maksimychev O.I., Ostroukh A.V., Pastukhov D.A., Karelina M.Y., Zhankaziev S.V., Nuruev Y.E. Automated Control System of Road Construction Works // International Journal of Applied Engineering Research. 2016. Vol. 11. No 9. pp. 6441-6446.

  6. NIKOLAEV A.B., VASUHOVA S.A., OSTROUKH A.V. AUTOMATED SYSTEMS AND INDUSTRIAL ROBOTS REMOTE CONTROL // SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19- 25, 2014, Vol. 1, 51-56 pp. DOI: 10.5593/SGEM2014/B21/S7.007.

  7. Ostroukh, A.V., Gimadetdinov, M.K. & Popov, V.P. (2015). Selection Process Equipment for Automated Crushing Plant. Automation and Control in Technical Systems, 4(2), 35-45. DOI: 10.12731/2306-1561-2015-2-4.

  8. Gimadetdinov, M.K. & Ostroukh, A.V. (2014). List and Sequence of Solutions for Automated Crushing and Screening Production. Automation and Control in Technical Systems, 3(4), 55-61. DOI: 10.12731/2306-1561-2014-4-6.

  9. Ostroukh, A.V., Gimadetdinov, M.K., Borshch V.V. & Vorobeva, A.V. (2014). Development statistical modeling algorithm optimal control automated crushing and screening process. Industrial Automatic Control Systems and Controllers, (12), 3-10.

  10. Gimadetdinov, M.K., Popov, V.P. & Ostroukh, A.V. (2015). Automation of Crushing and Screening Production with a Full Range of Technological Operations and Related Processes. Industrial Automatic Control Systems and Controllers, (9), 10-18.

  11. Ostroukh, A. V., Nedoseko, I. V., Surkova, N. E., & Bulatov, B. G. (2016). Automated Control System for the Milling Unit of Mineral Powders Plant. International Journal of Applied Engineering Research, 11(4), 2625-2628.

  12. Ostroukh, A., Maksimychev, O., Nikolaev, A., Kolbasin, A., & Nedoseko, I. (2016). Development of automation of the drying and milling unit for the mineral powders plant. ARPN Journal of Engineering and Applied Sciences, 11(9), 5717- 5721.

  13. Ostroukh A.V., Mezencev K.N., Krasnyanskiy M.N., Punam J., Surkova N.E. SIMULATED OPERATION OF THE COMPUTER NETWORK // SGEM2015 Conference Proceedings, ISBN 978-619-7105-34-6 / ISSN 1314-2704, June 18- 24, 2015, Book2 Vol. 1, 299-306 pp. DOI: 10.5593/SGEM2015/B21/S7.037.

  14. Ostroukh A.V., Krasnyanskiy M.N., Obukhov A.D., Karpov S.V., Dedov D.L. DEVELOPMENT OF AUTOMATED INFORMATION SYSTEMS FOR MONITORING OF INTELLECTUAL ACTIVITY RESULTS // SGEM2015 Conference Proceedings, ISBN 978-619-7105-34-6 / ISSN 1314-2704, June 18- 24, 2015, Book2 Vol. 1, 101-108 pp. DOI: 10.5593/SGEM2015/B21/S7.014.

  15. OSTROUKH A.V., NIKOLAEV A.B., SURKOVA N.E., KRASNYANSKIY M.N. DEVELOPMENT OF LABORATORY WORK FOR REMOTE ACCESS LABORATORY // SGEM2014 Conference Proceedings, ISBN 978-619-7105-10- 0 / ISSN 1314-2704, June 19-25, 2014, Vol. 1, 119-126 pp. DOI: 10.5593/SGEM2014/B21/S7.016.

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Number of times cited according to Crossref: 2

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