Design and Implementation of on Multi-Source Data Fusion Intelligent Highway Management Platform
[Purposes]In order to solve the problem of information silos in intelligent management of high-ways,this study aims to integrate the three-dimensional visual model provided by BIM technology with other technical information and multi-source data,forming an integrated BIM pavement information sur-vey data management system platform for highways.[Methods]The data mining technology and pattern recognition algorithm technology are used to improve the data fusion strategy,the cloud storage technol-ogy is used to establish the database,and the machine learning algorithm is used to assist in the modular design of the function,and finally the system platform is built.[Findings]A multi-source data fusion in-telligent management platform integrating BIM technology was successfully designed and implemented.The platform includes multiple modules such as data management,analysis and prediction,and decision support,aiming to optimize the management and operation of highway engineering projects.This applica-tion significantly improves data processing efficiency and decision quality.[Conclusions]This study con-firms the effectiveness of BIM technology and multi-source data fusion in intelligent management of highways.Future work will focus on improving the technical performance of the platform,enhancing user experience,and expanding its application scope,while exploring new data fusion methods and technolo-gies to continuously enhance the intelligence level of the system.
万方数据
维普
