Abstract：Objective To build an integrated energy management platform to improve the security of logistics energy supply and
solve the problem of high energy consumption. Methods Taking the hospital energy system as an example, this paper analyzed the
problems of the existing energy system, reshaped the business process of energy management based on artificial intelligence (AI)
technology, an equipment control strategy and energy consumption management platform based on AI algorithms was
built. Results The platform realized intelligent self-control based on data mining, and the annual operation energy consumption
was reduced by 16%. Through the system linkage control based on human thermal comfort predicted mean vote (PMV) index, the
average PMV value was reduced to -0.26, and the indoor thermal environment was more close to thermal neutrality. Conclusion The
integrated energy management platform through AI technology makes the operation and maintenance management more efficient and
intelligent, and promotes the high-quality and refined management of hospital logistics.
唐荣高，周全. 基于数据挖掘技术的医院智慧能源管理平台设计与应用[J]. 中国医疗设备, 2023, 38(8): 86-91.
TANG Ronggao, ZHOU Quan. Design and Application of Intelligent Energy Management Platform for
Hospitals Based on Data Mining Technology. China Medical Devices, 2023, 38(8): 86-91.
