市政技术2025，Vol.43Issue(12)：104-110,7.DOI:10.19922/j.1009-7767.2025.12.104
道路病害智能巡查数据冗余成因及治理技术研究
Research on the Causes and Treatment Technologies of Data Redundancy in Intelligent Inspection of Road Diseases
孟均 1李艳飞 1张强 1郭云飞 1邢亚杰2
作者信息
- 1. 北京市政路桥管理养护集团有限公司,北京 100097
- 2. 北京市公路事业发展中心,北京 101160
- 折叠
摘要
Abstract
The intelligent road disease inspection business is based on artificial intelligence(AI)algorithm models and satellite navigation high-precision positioning technology,which can achieve rapid and intelligent identification,precise positioning,real-time transmission,and record storage of road defects.However,constrained by multiple factors such as road video image acquisition methods,on-site environmental conditions,and the performance of AI algorithm models,the road defect data automatically identified by AI exhibits significant redundancy,which under-mines the efficiency improvement advantages.To reduce and manage redundant data in road inspections,firstly,the causes of data redundancy were studied and analyzed.Then,the corresponding data governance strategies were de-signed,and a method for calculating the geographic coordinates of disease centers based on a unified spatiotemporal benchmark was derived.Furthermore,the redundant disease data was effectively reduced by the deduplication technology within a single image,among the adjacent images and multiple inspections of the same area.The research results were validated through an application test on national highways covering approximately 1 736 km in 10 sub-urban districts of Beijing.The results indicate that the redundancy processing rate of intelligently inspected road de-fect data reaches 97.8％after automated governance;There're 88％proportion of valid data among the remaining data by manual sorting and verification.This research ensures the reliable application of the new intelligent road de-fect inspection technology,providing more accurate and efficient data support for road maintenance and management work with significant improvement of the effectiveness of road maintenance and management.关键词
道路养护/道路病害/人工智能/数据治理Key words
road maintenance/road diseases/artificial intelligence(AI)/data governance分类
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孟均,李艳飞,张强,郭云飞,邢亚杰..道路病害智能巡查数据冗余成因及治理技术研究[J].市政技术,2025,43(12):104-110,7.
