DESIGNING AN INTELLIGENT SYSTEM FOR MONITORING THE TECHNICAL CONDITION OF A MOBILE VEHICLE FLEET

At the moment, there is no comprehensive solution for the remote monitoring of the technical condition, location and other parameters of the machine fleet. One of the promising areas in repair and diagnostics is proactive diagnostics and improvement of diagnostics systems. To solve this problem, web-service is offered, which can help control location of machinery units, technical condition, and other parameters. The JavaScript programming language with asynchronous AJAX-requests is suitable for user-website interaction. For data storage, the authors proposed a cloud server accessed through the MySQL relational database management system. When transferred to the server, all data are converted into JSON format by means of the Apache server, which is the means of communication between the operator's screen and the server. A cross-platform local XAMPP server is used to communicate all systems. The Slack messenger is used to send messages and establish fast communication between operators, mechaniс components, and drivers. To remotely monitor the technical condition of a combustion engine, the system has a diagnostic algorithm that allows monitoring the condition of mechanical systems taking into account the analysis of data received from the electronic control system. The electronic control system can be connected via a single OBD-2 connector to read out standard information about the technical condition of the vehicle. The applicability of the developed diagnostic algorithm has been confirmed on a pilot plant with an IVECOF4HE diesel engine with modern electronic means of control. The conducted economic analysis has proved the effectiveness of the implementation of a remote control system during vehicle operation at the enterprise. The next stage in the development of an intelligent diagnostic system is to improve the algorithm for diagnosing the technical condition and expanding control over the other vehicle parts.

intelligent system for monitoring technical condition, mobile machinery monitoring, technical diagnostics, runtime diagnostics

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