摘要
在夏热冬冷的长江中下游地区,建设江水源能源站为建筑集中供冷供热,可有效利用可再生能源,节能减排,显著提高居民的生活品质。江水源能源站包含复杂的机电系统,且在供需两端有较大的不确定性,在建设和运维上有较大的难度。为了解决上述问题,文章探究了BIM、GIS、大数据与人工智能等技术在能源站的应用,提出了基于全生命周期数字化技术的能源站智慧工程架构,旨在提升能源站运维的节能效果、可靠性和管理效率。
In the middle and lower reaches of the Yangtze River,where summers are hot and winters are cold,the construction of Jiangshui Source Energy Stations for centralized cooling and heating of buildings can effectively utilize renewable energy,save energy and reduce emissions,and significantly improve the quality of life of residents.The Jiangshui Energy Station contains complex electromechanical systems and has significant uncertainty in both supply and demand,making it difficult to construct and operate.In order to solve the above problems,the article explores the application of technologies such as BIM,GIS,big data,and artificial intelligence in energy stations,and proposes a smart engineering architecture for energy stations based on full lifecycle digital technology,aiming to improve the energy-saving effect,reliability,and management efficiency of energy station operation and maintenance.
作者
李东阳
杨艳
陈泽望
LI Dongyang;YANG Yan;CHEN Zewang
出处
《今日自动化》
2025年第12期176-178,共3页
Automation Today
关键词
数字化
智慧工程
江水源能源站
智慧能源
digitalization
smart engineering
jiangyuan energy station
smart energy
