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基于云服务的智慧医院能源效率管理系统的研究

刘博 陈冠益 马云龙

计算机应用与软件2017,Vol.34Issue(5):104-109,6.
计算机应用与软件2017,Vol.34Issue(5):104-109,6.DOI:10.3969/j.issn.1000-386x.2017.05.018

基于云服务的智慧医院能源效率管理系统的研究

RESEARCH ON SMART HOSPITAL ENERGY EFFICIENCY MANAGEMENT SYSTEM BASED ON CLOUD SERVICE

刘博 1陈冠益 1马云龙2

作者信息

  • 1. 天津大学环境科学与工程学院 天津 300072
  • 2. 同济大学电子与信息工程学院 上海 201804
  • 折叠

摘要

Abstract

With the development of medical technology and the improvement of the function of medical institution, the medical environment and working environment are constantly optimized.In China, the energy consumption per unit area of electric and coal is increasing every year.The management of energy and environmental quality of medical institutions still has extensive phenomena, such as lack of equipment information, unclear accounting, weak institutional execution and imbalance of staff team.At present, the vast majority of medical institutions do not carry out energy diagnosis and management system, and medical institutions, energy saving and environmental quality management development potential is great.Based on cloud service and Internet of Things, this paper mainly focuses on the cloud service architecture for smart hospital energy efficiency management and the key issues in management evaluation.The data are collected by means of Internet of Things monitoring, and are integrated and analyzed by information platform, and the energy consumption data are predicted by regression analysis and BP neural network.To establish a comprehensive index of energy efficiency and environmental quality indicators of the smart hospital system, and to carry out the relevant assessment and control research to create energy efficient and comfortable environment of the smart energy-saving hospitals, and effectively promote the development of green energy-saving medical institutions.

关键词

云服务/物联网/智慧医院/能耗预测/管理系统

Key words

Cloud services/Internet of Things/Smart hospital/Energy efficiency/Management system

分类

信息技术与安全科学

引用本文复制引用

刘博,陈冠益,马云龙..基于云服务的智慧医院能源效率管理系统的研究[J].计算机应用与软件,2017,34(5):104-109,6.

计算机应用与软件

OA北大核心CSTPCD

1000-386X

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