杜华明（中国科学院自动化研究所，北京市 100009）

张明昌 刘   爽（同方鼎欣科技股份有限公司,北京市 100085）

张瑜嘉（重庆工商大学，重庆市 400020）

Exploration on O&M Management of Urban Utility Tunnel Based on Data Fusion and Mining

DU Huaming(Institute of Automation,Chinese Academy of Sciences,Beijing 100009，China)

ZHANG Mingchang LIU Shuang(Advanced Systems Development Co.,Ltd.,Beijing 100085，China)

ZHANG Yujia(Chongqing Technology and Business University,Chongqing 400020，China)

Abstract：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.

Key words：Internet of Things;association rules;time‑series data;data fusion;data mining;BIM;GIS;smart tunnel

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。

关键词：物联网；关联规则；时序数据；数据融合；数据挖掘；BIM；GIS；智慧管廊

中图分类号：TU990.3   　　  　  文献标识码：A

doi：10.3969 / j. issn.1003 － 8493.2022.11.012