Research On Pavement Preventive Maintenance Decision-making Method Based On BIM Technology

With the passage of highway service time and the impact of traffic and environment,highway pavement diseases are serious,and the maintenance pressure is increasing day by day,so the pavement maintenance management is gradually paid attention to.Preventive maintenance has been popularized and applied in a wide range due to its characteristics of reducing maintenance cost and prolonging the service life of roads,but there are also some problems.In this paper,BIM technology is proposed as the solution to the existing problems in preventive maintenance decision-making.This paper analyzes the way of BIM technology to carry out information integration.Access is used to set up a bim-based database and realize information integration with 3d road by combining OLEDB and VB.Adopt certain data organization mode to realize the maintenance data management function of BIM database;By studying the evaluation methods and standards of road performance indexes,grade evaluation of maintenance test data is carried out to realize the function of road performance evaluation.Several commonly used road performance prediction models,GM(1,1)prediction model,are analyzed,and their prediction accuracy is verified to realize the function of fine prediction of pavement performance of BIM database.According to the state combination of each performance index,the decision matrix method is adopted to determine the preliminary maintenance plan,which can improve the scientific nature of road preventive maintenance decision.Then,grey relational degree and interval ideal approximation method are used to optimize the initial conservation scheme.The application of practical engineering verifies the scientificity and fineness of BIM technology based decision on pavement preventive maintenance.In this paper,the combination of BIM technology and database is used to study the preventive maintenance decision,realizing the informationization and refinement of the maintenance decision,and providing theoretical and practical references for the informationized preventive maintenance decision.