By deploying energy consumption data acquisition gateways in key areas of stations such as power distribution rooms, pump stations, and heat exchange stations, multiple water meters, electricity meters, gas meters, and heat meters can be connected.
These gateways enable real-time collection of energy consumption data, which is then transmitted via 5G/4G/WIFI/Ethernet to the station's energy management platform. The platform provides functions such as visual display, remote monitoring, intelligent alarms, and data analysis, allowing managers to understand changes in energy consumption and identify abnormal energy usage at stations, thereby achieving precise energy conservation and efficient decision-making. This approach effectively improves energy utilization efficiency and energy conservation management levels, further reducing energy costs and promoting the creation of "dual carbon" green stations.
Implemented Functions:
Data Collection and Integration: Connect multiple water meters, electricity meters, gas meters, and heat meters to collect data and integrate it into the station's energy management platform, enabling standardized data processing.
This allows for a quick understanding of the operational status and energy consumption data of various energy-consuming devices at the station (e.g., lighting, air conditioning, elevators).
Visual Energy Data Display: Establish an energy data dashboard to visually display the station's energy network, presenting energy consumption data in the form of charts and reports to managers.
This enables quick viewing of energy consumption data for individual devices or systems, as well as energy consumption over single or cumulative time periods, facilitating the formulation of scientific energy-saving measures.
Intelligent Energy Management: By comprehensively analyzing station operation data, passenger flow, and energy consumption costs, it is possible to rationally adjust the energy usage plans of various devices and load profiles. This ensures station operational safety while reducing energy consumption and waste, thereby lowering energy costs and quickly identifying abnormal energy consumption.
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