Research On Safety Inspection Route Planning Considering Construction Fall Risk

After the rapid development of the construction industry,it has entered a phase of steady progress.With the penetration of advanced technologies to the traditional construction industry such as BIM,the upgrading and transformation of the construction industry has become irreversible.It means the problems in construction projects should be solved by advanced technologies.The construction site has a complex situation.Numerous uncertainties will inevitably lead to safety risks.In addition,the construction projects in China are proceeding to large-scale and high-level development,so the fall risk of workers working on construction sites is gradually increasing.The data have shown that the fall risk in construction safety risks is the primary factor leading to safety accidents.Therefore,protecting the personal safety of construction workers and reducing the fall risk during the construction work have become the top priority of the construction project.Using advanced technologies for risk assessment and safety management of construction projects has become an important issue in support of the sustainable development of China’s construction industry.This paper firstly constructs the knowledge model of construction fall risk factor by using ontology,collects the knowledge of the factors using the combination of expert questionnaire,standard specification and accident report,constructs the ontology model based on the problem concept,the environment concept and the solution concept,and then extracts the related construction fall risk factors from the ontology.Secondly,the Bayesian Belief Network is used to quantitatively assess the fall risk in construction projects.In the assessment,the fall scenarios in the BIM model are combined to assess the risk occurrence probability,the severity of the accident,and the risk probability in the BIM model.Then using the assessment results as one of the performance indicators,according to the different choice of the scenarios,the ant colony algorithm is used to plan the optimal construction safety inspection routes for safety inspectors.Finally,through scientific safety inspections,reasonable emergency measures for construction fall risk are formulated so as to reduce the fall risk of construction workers from the original point.It can increase the risk assessment ability and safety management efficiency of construction management personnel,and ensure the personal safety of construction workers and the success of the projects.The results in this research show that the ontology-based construction fall risk factor knowledge model overcomes the shortcomings of the incomplete and incapable reuse of factor knowledge in traditional methods,and provides the possibility for professional engineers to exchange and share relevant knowledge in the field of construction fall risk.Using ontology to extract construction fall risk factors is also a relatively scientific method.In addition,as a method of quantitatively assessing the fall risk,the Bayesian Belief Network can quantitatively calculate the measurement value of construction fall risk,so that risk assessment personnel can have intuitive understanding of risks,compared to the traditional way of relying on the experience of project safety engineers,Bayesian Belief Network has its superiority.The research combined with the fall scenarios in the BIM model to assess the construction fall risk,and provided the spacial geometric information and data for the assessment,enhanced the rationality and visibility of the assessment,indicating that the information technology can be fully applied to the practice of construction risk assessment.Finally,the ant colony algorithm is used to plan the safety inspection route for safety inspectors,and risk factors are taken into considerations for the route planning,so that the planning results are closer to the actual work of the safety inspectors and effectively improve the safety inspection efficiency.At the same time,the emergency management procedures have been perfected,which is helpful for construction safety emergency management.