Research On Comprehensive Evaluation Technology Of Pavement Based On Building Information Modeling

As the application of Building Information Modeling(BIM)technology has achieved good results at the stage of designing and construction,especially in the aspects of saving design costs and avoiding component collisions,further applications of this technology to the larger volume of highway engineering projects is with positive expectations.However,current BIM standards in the domestic construction sector are still not well established,and in particular,there are few standards in the road sector.Therefore,more fundamental researches are required before the application of BIM methods and techniques to the road engineering.Moreover,the difference between the BIM technology and the ordinary threedimensional visualization model is: while the BIM technology is designed to store the data generated by the engineering project in the whole life cycle,and to assist the management and decision-making of the project with multi-dimensional and completed data,however,the data generated by the large-scale highway engineering in each stage is more complicated,and the operation and maintenance decision-making and management plan depends on the detection data.Therefore,it is significant to understand how to design and manufacture the road information model in the true sense,drawing on the existing building information model and data mining technology.This is the research direction and development trend for the improvement of the informationization level in the current highway industry.After the introduction of current data storage,interoperability and integration of BIMs with the combination of the current most recognized BIM data standard,IFC standard,the paper establishes the database structure of highway BIM model and proposes the approaches of the structured storage and dictionary-based reading.Meanwhile,it adds the data check and redundancy processing steps of the model before storage,according to the data redundancy problem in practical applications.Furthermore,based on the application requirements of model data,it develops the data format conversion of BIM model and the integration of external data and target components,which realizes the integration of highway BIM model and external engineering data of life cycle.In addition,this study also attempts to select evaluation indicators based on the current pavement evaluation specifications,for instance,the double-drainage pavement.Using the current relatively perfect and successful statistical learning method,it proposes the road pavement condition evaluation model based on mining historical data,which is a trial for the full application of big data technology in the highway management in the future.Through the establishment of the data storage and reading system of the highway BIM model,this study explores the integration of external data and the transformation method of model data transformation,so as to develop the pavement performance evaluation system based on the detection and monitoring data,and ultimately construct the BIM-based pavement evaluation method and workflow.This paper may lay the foundations for the application of BIM technology and big data technology in the highway industry in the future.