Category: Operation of transport systems


Kotenko O. V. , Kotenko A. G.

Information-technology concept of cyber-physical systems based on the industrial Internet of things was stated in the study. It was shown that such systems are able to provide implementation of technologies for managed self-organization of engineering processes operation as applied to railway stations and can be considered as versions of intelligent self-controlled station systems. Problems of cyber-physical systems operation management were singled out in reference to conditions of yard operation, namely: uncertainty in the behavior of subsystems of yard operation, random nature of redundancy of their interconnections, management diversity and spatial distribution of objects. Requirements for expression accuracy and order of physical and computational processes, formal definition of aims, as well as spatiotemporal, technical, engineering and financial restrictions are severely toughened in these conditions. A conclusion was made on actualization of problems of rational organization of yard operation engineering processes in case of transition to the industrial Internet of things. Special attention is given to issues of losses control during the implementation of engineering operations. An approach to modeling of yard operation engineering process within the concept of cyber-physical systems was specified. A dynamic alternative system graph with controlled structure underlies the approach. The structure of engineering operations and mechanism for losses control was suggested within the framework of the approach. Standard dynamic models of yard operation programmed control, aimed at intensity regulation of yard operation, as well as duration of engineering operations were considered. The importance of preservation of evaluation tools accumulated in the process of station systems control was noted for organization of competent maintenance of new solutions.

Key words:
Industrial Internet of things, cyber-physical systems, railway station, optimization of operating costs, losses control

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