Open AccessIntegration of Control and Monitoring Systems
Author(s) -
Д.В. Ефанов
Publication year - 2020
Publication title -
mir transporta
Language(s) - English
Resource type - Journals
ISSN - 1992-3252
DOI - 10.30932/1992-3252-2020-18-146-157
Subject(s) - troubleshooting , computer science , control (management) , controller (irrigation) , set (abstract data type) , systems engineering , real time computing , engineering , artificial intelligence , agronomy , biology , programming language , operating system
Stationary systems for monitoring devices of train traffic control are currently being implemented as external means of technical diagnostics and are located mainly centrally. The set of diagnostic parameters is scarce, and most measurements are indirect. This, ultimately, leads to low efficiency of monitoring systems, and the share of useful information from the total amount of data according to experts does not exceed 5 %. The development of monitoring technologies should follow the path of integration of measurement and control functions. The objective of the work is to draw the attention of the scientific community to the principles of monitoring and control systems implementation and the transition from their disunity to integration. Using methods of technical diagnostics and monitoring, it is proposed to switch to more advanced control systems with built-in means of troubleshooting and monitoring. The author has proposed the concept of integrated technical diagnostic tools with object controllers in the form of removable monitoring modules that transmit data along dedicated diagnostic transmission paths. Depending on the geographical location of the controller (centralized at the control station or decentralized near the controlled object), a set of diagnostic parameters is determined and a choice of diagnostic information processing methods is carried out. With decentralized location of controllers, the diagnostic modules can transmit diagnostic information from external and distributed sensors at railway infrastructure facilities. Implementation of the presented concept will allow receiving a much larger amount of initial data for operation of monitoring systems, including transition to obtaining digital twins of railway infrastructure facilities. In a broader sense, when organizing monitoring systems, it is necessary to focus not only on railway automation, but also pay attention to other infrastructure facilities serviced by personnel of adjacent sectors. Since all objects function together, such an approach to organization of monitoring will improve quality of diagnosis and prognosis, as well as provide an opportunity to assess the residual resource of technical objects.