Dynamic risk assessment of gas pipeline operation process by fusing visual and olfactory monitoring  

作　　者：Denglong Ma Weigao Mao Guangsen Zhang Chaoyi Liu Yi Han Xiaoming Zhang Hansheng Wang Kang Cen Wan Lu Denghui Li Hanyue Zhang 

机构地区：[1]School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China [2]Hanzhong Natural Gas Investinent Development Co.Ltd,Hanzhong,723011,China [3]Shaanxi Special Equipment Inspection and Testing Institute,Xi'an,710038,China [4]School of Civil Engineering and Architecture,Southwest Petroleum University,Chengdu,610500,China [5]Sichuan Tianxin Gas Co.Ltd.,Mianyang,62100,China [6]Petro China Southwest Oil and Gas Field Company Gas Branch,Chengdu,610500,China

出　　处：《Journal of Safety Science and Resilience》2024年第2期156-166,共11页安全科学与韧性（英文）

基　　金：This work was supported the Key Research and Development Program of Shaanxi Province[2023-YBSF-266];the China Postdoctoral Science Foundation[2021T140544].

摘　　要：With the rapid increase in urban gas consumption,the frequency of maintenance and repair of gas pipelines has escalated,leading to a rise in safety accidents during these processes.The traditional manual supervision model presents challenges such as inaccurate monitoring results,incomplete risk factor analysis,and a lack of quantitative risk assessment.This research focuses on developing a dynamic risk assessment technology for gas emergency repair operations by integrating the monitoring outcomes of artificial olfactory for gas leakage information and video object recognition for visual safety factor monitoring data.To quantitatively evaluate the risk of the operation process,a three-dimensional risk assessment model combining gas leakage with riskcorrelated sensitivity was established as well as a separate three-dimensional risk assessment model integrating visual risk factors with predictable risk disposition.Furthermore,a visual risk quantification expression mode based on the risk matrix-radar map method was introduced.Additionally,a risk quantification model based on the fusion of visual and olfactory results was formulated.The verification results of simulation scenarios based on field data indicate that the visual-olfactory fusion risk assessment method can more accurately reflect the dynamic risk level of the operation process compared to simple visual safety factor monitoring.The outcomes of this research can contribute to the identification of safety status and early warning of risks related to personnel,equipment,and environmental factors in emergency repair operations.Moreover,these results can be extended to other operational scenarios,such as oil and gas production stations and long-distance pipeline operations.

关 键 词：Gas pipelinemaintenance Dynamicriskassessment Visual-olfactoryfusion Risk matrix Risk quantification model 

分 类 号：TE973[石油与天然气工程—石油机械设备]