Architecture of a System for Diagnosing and Predicting the Technical Condition of a Robotic Vehicle

Abstract

The article deals with the development of a system for diagnosing and predicting the robotic vehicle technical condition based on a model-oriented approach and tools for a network concept for monitoring robotic vehicles. It is shown that for constant control over the car components and assemblies technical condition, parametric information on the operation of the car mechanical and electronic components, obtained in actual time, is of great importance. A comprehensive analysis of these data allows to prevent timely the occurrence of failures, breakdowns or situations where traffic is in a dangerous state. The advantages of the network system introduction to support manned and unmanned vehicles in operation using the concept of operational parametric information centralized storage are considered.