Monitoring And Risk Assessment Of Worker-Equipment Collision Accident In Metro Station Construction

With the rapid development of metro construction,the expansion of metro station construction scale brings greater challenges to its safety management.As the key link in the building of metro stations,earthwork construction often requires the use of mechanical vehicles such as excavators,backhoe loaders,dump trucks,etc.to achieve excavation and transportation of soil.These mechanical vehicles that move freely and frequently have undoubtedly brought risks to the space,mainly manifested in the injuries caused by collisions between them and workers passing by.However,even if the total number of accidents has decreased,the proportion of such crashes in various types of injuries has not dropped or changed significantly.This shows that it needs to have a deeper understanding of it and establish more effective control and prevention measures.Based on the analysis of the operation of mechanical vehicles in metro stations and the accident causation theory,the physical and fundamental causes of the accidents are proposed,from which the attempts to prevent and control the accidents are made.On the one hand,machine vision technology is used for accident monitoring.Machine vision technology is a research hotspot in many countries and has achieved some effective results.In this paper,the improved Faster Regional-Convolutional Neural Network is used to identify the workers,excavators and man-machine distances on the construction site,and corresponding safety rules are established to express dangerous situations,so as to provide the basis for site management personnel to carry out their work.On the other hand,by analyzing the risk factors of mechanical vehicle injury accidents,a risk assessment index system including four types of factors as human,machine,environment,and management is established.Then analytic hierarchy process and fuzzy comprehensive evaluation method are applied to evaluate the risk of mechanical vehicle injury accidents in the project,judging whether it is necessary to take measures for rectification and prevention.The object recognition algorithm presented in this paper has high accuracy for workers and excavators,which is crucial for accident monitoring.The results of the accident monitoring can help the site management personnel to carry out targeted management and control.The fuzzy comprehensive evaluation of accidents can express the risk status from the perspective of the entire project and provide a basis for management decisions made by enterprises and project managers.