Research On The Application Of BIM-based Hydropower Project Construction Safety Management

With China’s economic development, China’s construction industry for hydroelectricproject has an unprecedented development. However, with the great achievements, therehave been a lot of problems; especially the issue of construction safety, which has asignificant impact on the community, solving these problems has been the most importantwork in the development of the hydroelectric project. With the development ofconstruction technology, construction safety problems have more research perspectivesand ideas, which have very important research value for the construction of hydroelectricproject.In this thesis, the current construction safety management shortcomings forhydroelectric project are analyzed, combining with the new technology in the constructionindustry, BIM technology is put forward in construction safety management forhydroelectric project. The thesis focuses on the construction security monitoring andConstruction of safety assessment.In this thesis, the shortcomings of traditional construction process monitoring forhydroelectric project are analyzed and the BIM technology research values for theconstruction are summarized, an automated rule-based safety checking in BIM system isproposed. The system can effectively improve the deficiencies in traditional constructionprocess monitoring and achieves the standardization of construction safety monitoring,and then uses examples to demonstrate the feasibility and practicality of the system; then aconstruction safety assessments model is proposed based on the system. Combining thecharacteristics of the construction of hydroelectric project with experts’ opinions, theconstruction safety evaluation is built. Combining with the features of system, anassessment of vertically integrating AHP and BP neural network algorithm is proposed andthe feasibility of the evaluation algorithm is demonstrated. Finally, the deficiencies in theBP neural network are analyzed and genetic algorithm is proposed for corresponding improvement, and then BP neural network has a better performance. The studies of thisthesis provide a new direction for the construction safety research of hydroelectric project.