摘要
在分析城市综合管廊运维管理现状、存在问题基础上,通过优化城市综合管廊网络架构与数据采集周期,并结合综合管廊BIM数据、GIS数据、管廊环境数据、管廊设备状态数据、管廊设备能效数据进行基于时序化特征的数据深度融合与基于关联规则的数据挖掘,以提升综合管廊运维的智慧化建设,降低管廊故障率与运维成本。
On the basis of analyzing the current situation and existing problems of the O&M management of the urban utility tunnel,data based on time-series characteristics and data mining based on association rules are deeply fused to improve the intelligent construction of utility tunnel O&M,and reduce the fault rate and O&M cost of tunnel by optimizing the network architecture and data acquisition cycle of the urban utility tunnel and by combining the BIM data,GIS data,environmental data of the tunnel,equipment status data of the tunnel,and energy efficiency data of the tunnel.
作者
杜华明
张明昌
刘爽
张瑜嘉
DU Huaming;ZHANG Mingchang;LIU Shuang;ZHANG Yujia(Institute of Automation,Chinese Academy of Sciences,Beijing 100009,China;Advanced Systems Development Co.,Ltd.,Beijing 100085,China;Chongqing Technology and Business University,Chongqing 400020,China)
出处
《建筑电气》
2022年第11期64-70,共7页
Building Electricity
作者简介
杜华明,男,中国科学院自动化研究所,工程师;张明昌,男,同方鼎欣科技股份有限公司,副总经理;刘爽,女,同方鼎欣科技股份有限公司,总监;张瑜嘉,女,重庆工商大学。
