Collect the room area, enclosure structure type, water supply and return temperature, water supply flow, on-off time of electric valve, and real-time temperature change of the room on the user side, combine the outdoor environment temperature and humidity, use AI technology to complete edge computing, and upload the results to the cloud data platform, while completing accurate control of the end user temperature.
Based on the data provided by the end devices, accurately calculate the system water volume and precisely control the system water pump flow to maximize energy savings.
Based on the real-time total load demand of end users, the total energy supply on the energy side is determined, combined with historical operating data and the most favorable energy cost regulation of various energy forms. At the same time, energy storage and release are achieved through AI algorithms on big data platforms.
Based on outdoor environmental temperature, end use energy consumption requirements, and operational effectiveness, combined with historical operational data, the appropriate water supply temperature has been determined through AI algorithms on a big data platform, resulting in the highest energy efficiency ratio.

2025-11-14
2025-11-14
2025-11-14
0533 - 6408833
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