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作 者:唐荣高[1] 周全 TANG Ronggao;ZHOU Quan(Department of Security,Shanghai Ninth People’s Hospital,Shanghai JiaoTong University School of Medicine,Shanghai 200011,China)
机构地区:[1]上海交通大学医学院附属第九人民医院保障处,上海200011
出 处:《中国医疗设备》2023年第8期86-91,111,共7页China Medical Devices
基 金:上海市科学技术委员会科研计划项目(19DZ1206701)。
摘 要:目的 构建一体化的能源管理平台,提升后勤能源供给的保障能力,解决能源消耗过高的问题。方法 以医院能源系统为例,分析现有能源系统存在的问题,基于人工智能(Artificial Intelligence,AI)技术重塑能源管理的业务流程,搭建基于AI算法的设备控制策略和能耗管理平台。结果 平台实现了基于数据挖掘的智能化自控,全年运行能耗降低了16%;通过基于人体热舒适预测平均评价(Predicted Mean Vote,PMV)指标的系统联动控制,使得PMV均值降低到-0.26,室内热环境更加趋近于热中性。结论 通过AI技术的一体化能源管理平台,使得运维管理更加高效和智能,推动了医院后勤工作的高质量精细化管理。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.
关 键 词:人工智能 数据挖掘 医院后勤 智慧能源 管理平台
分 类 号:R197.324[医药卫生—卫生事业管理]
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