SYSTEM OF REMOTE CONTROL AND MONITORING OF THE TECHNICAL CONDITION OF THE MOBILE COMPLEX OF MACHINES

Abstract

The article examines approaches to building an integrated system of remote control and monitoring the technical condition of a mobile complex of machines operating under conditions of variable load, high dynamic loads and limited access to traditional diagnostic tools. In order to ensure timely detection of anomalies, prediction of failures and formation of adaptive control solutions, the use of mathematical models of the technical state built on the basis of vectors of sensor data, normalized characteristics, and their derivatives is proposed. The study presents an algorithmic structure of condition assessment, which includes normalization of input parameters, calculation of the integral indicator of the technical condition s(t)s(t)s(t), determination of the rate of degradation ds/dtds/dtds/dt, as well as the forecast of the residual RUL resource based on the analytical ratio. A criterion base is proposed for the formation of practical recommendations for changing equipment operation modes depending on the estimated residual resource: regular operation, load reduction, initiation of maintenance. Special attention is paid to the implementation of the system in a microcontroller environment using a sensor module, GSM/LoRa communications and Python-based server processing. The results of modeling and experimental testing of the system on a mobile stand with a hydromechanical drive showed high diagnostic accuracy (up to 92 %) and failure prediction efficiency. The use of adaptive algorithms made it possible to reduce the dynamic load on key nodes and extend their resource by up to 18 % compared to traditional operating modes. Thus, the obtained results confirm the effectiveness of the proposed method in the conditions of operation of mobile technical objects and create the basis for its further implementation in digital maintenance systems.