综合管廊智能运维关键影响因素分析  

Key Factors Analysis of Comprehensive Utility Tunnel Intelligence Operation and Maintenance of Early Warning System

作　　者：王婉[1] 张向先[2] 诸秉奇[3] 滕佳颖[1] WANG Wan;ZHANG Xiangxian;ZHU Bingqi;TENG Jiaying(School of Economics and Management,Jilin Jianzhu University,Changchun 130118,China;School of Managenent,Jilin University,Changchun 130022,China;Corporate Development Division,Northeast Electric Power Design Institute,Changchun 130022,China)

机构地区：[1]吉林建筑大学经济与管理学院,长春130118 [2]吉林大学管理学院,长春130022 [3]东北电力设计院企业发展部,长春130022

出　　处：《实验室研究与探索》2020年第11期30-34,共5页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(71701077);住房与城乡建设部科技司项目(2017-R3-008,2019-R-010)。

摘　　要：以综合管廊智能运维为研究对象,贝叶斯网络为主要手段构建了综合管廊内部环境智能运维的指标体系,并在此基础上明确了综合管廊内部环境智能运维的18个关键影响因素。发现当危险敏感值增加时,会增加通信系统损坏、供电设备损坏与风管、风道系统这3个潜在敏感性因素,应予以重点关注,以提升综合管廊智能运维的风险预警能力。This paper takes the intelligent operation and maintenance of comprehensive utility tunnel as the research object,and uses Bayesian network as the main means to construct the index system of intelligent operation and maintenance of comprehensive utility tunnel internal environment.On this basis,it defines 18 key factors of intelligent operation and maintenance of comprehensive utility tunnel internal environment.It is found that when the dangerous sensitive value increases,there are three potential sensitive factors:communication system damage,power supply equipment damage,air duct system,which should be paid more attention to in order to improve the risk early warning ability of intelligent operation and maintenance of utility tunnel.

关 键 词：综合管廊 贝叶斯网络 安全运维 

分 类 号：TU990.3[建筑科学—市政工程]