Issue |
MATEC Web Conf.
Volume 302, 2019
18th International Conference Diagnostics of Machines and Vehicles
|
|
---|---|---|
Article Number | 01019 | |
Number of page(s) | 9 | |
Section | Diagnostics of Various Technical Objects | |
DOI | https://doi.org/10.1051/matecconf/201930201019 | |
Published online | 29 November 2019 |
Principles of Formation of a Vehicle’s Remote Diagnostics
1 Faculty of Mechanical Engineering UTP in Bydgoszcz, Department of Vehicle Engineering, Al. Prof. S.Kaliskiego 7, 85-796 Bydgoszcz, Poland
2 Lviv Polytechnik National University, St.Bandery Street, 12, Lviv, 79013, Ukraine
3 Khmelnitsky National University, Instytutska Street, 11, Khmelnytskyi, 29000, Ukraine
* Corresponding author: Lukasz.Muslewski@utp.edu.pl
Complex of remote diagnostics and control of an automobile’s nodes enables to remotely control the state of vehicle’s nodes and diagnose malfunctions; control ecological norms and compliance with traffic regulations. Its implementation will allow diagnostics of intermittent malfunctions due to application of the proposed methods of remote diagnostics of an automobile’s nodes as well as to reduce terms of diagnostics significantly due to application of intellectual system of malfunctions detection and due to possibility to control parameters in real time mode. Implementation of the complex will cut unforeseen idle time of vehicles due to preventive control of the tendencies in nodes parameters changes, and due to executing modern repair or replacement of nodes and units. The complex grants safe local and remote access to data and reports by using WebPortal and VPN technologies with possibility to appoint personal right to every user. Due to application of the elaborated methods and the complex that implements it, one can achieve high rate of economic efficiency due to collection of statistic information under conditions of actual exploitation, diagnostics of emerging malfunctions of various difficulty degrees, and making necessary corrections in the structure of an automobile’s nodes prior to serial production launch.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.