Rail transit energy consumption statistics and monitoring platform business

The overall goal of rail transit energy consumption statistics and monitoring platform is to achieve the detailed management of rail traffic energy consumption, improve the energy management and decision-making analysis functions of rail transit, clarify the impact of rail transit energy consumption factors and comprehensively grasp the current status of rail traffic energy consumption, thus providing data support for the company's energy-saving emission reduction targets to provide the necessary decision-making support for developing energy-saving and emission reduction program.

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Energy consumption statistics and monitoring platform apply Hadoop big data technology, Internet of Things and data mining technology, which combines the demands of rail transit energy-saving and emission-reduction to build energy consumption big data platform, complete the real-time data acquisition, processing, storage, query and analysis application functions of energy-consuming equipment on lines and depots. In order to carry out the corresponding decision-making and index analysis, energy consumption statistics and monitoring platform also access the passenger flow and capacity of information center and conduct corresponding integration. The analysis applications include data query, statistics and analysis, power quality analysis, carbon emissions management, alarm and events, auxiliary decision-making, energy reporting, basic data and other functions; the platform, through data mining algorithms, analyzes and forecasts the traction and action of each line to provide the relevant basis for the development of next year's planned targets.

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? ? ? The energy consumption statistics and monitoring platform realizes the real-time monitoring and control of energy consumption data. The auxiliary decision-making system of big data platform identifies and handles the abnormal energy consumption problems in a timely manner to realize the fine management of the rail transit energy consumption data, save energy consumption costs; achieve automated collection and processing procedures, thus greatly reducing the amount of manual work and the occurrence of artificial meter reading and other errors to improve work efficiency.