Conceptual principles of building intelligent computer networks for monitoring energy consumption of railways
Keywords:
intelligent networks, Smart Grid, railway transport, energy monitoring, computer networks, IoT, energy efficiencyAbstract
The paper presents a conceptual approach to creating intelligent computer networks for monitoring and managing energy consumption in railway transport, which serve as the technological foundation for implementing the Smart Grid concept in the industry. Theoretical foundations of the transition from traditional electricity metering systems to integrated Smart Grid class systems are reviewed. Existing information flows in traction power supply systems are analyzed, and their main shortcomings are identified: data discreteness, lack of synchronization with train schedules, and low responsiveness of decision-making. A multi-level network architecture is proposed, including a data collection layer (IoT sensors, Smart meters), a communication layer (heterogeneous communication channels), a processing layer (cloud computing), and an application layer. The principles of integrating data on train movement and substation operation modes within a single information space are described. Requirements for reliability, cybersecurity, and speed of such a network are discussed. It is concluded that the implementation of the proposed concept will allow moving from passive observation to active energy management, which is a prerequisite for further mathematical optimization of railway operation modes.
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