高速公路路面病害检测传统与智能技术融合研究  

Research on the Integration of Traditional and Intelligent Technologies for Highway Surface Disease Detection

作　　者：陈昀 CHEN Yun(Ningbo Shipping Mingzhou Expressway Co.,Ltd.)

机构地区：[1]宁波海运明州高速公路有限公司

出　　处：《智能建筑与智慧城市》2025年第4期27-29,共3页Intelligent Building & Smart City

摘　　要：文章聚焦高速公路路面病害检测,深入探究传统与智能技术融合之道。详细剖析了裂缝、车辙等多样病害及交通、环境等复杂成因,全面解析传统技术原理与局限,如弯沉检测的低效及人为干扰。系统研究智能技术优势,如人工智能的精准识别、无人机的高效巡查。创新提出数据与技术方法融合策略,构建集成多技术的智能检测系统。经实例验证,该融合方案显著提升检测效率与准确性,为高速公路养护提供有力支撑。This article focuses on the detection of pavement diseases on highways and explores in depth the integration of traditional and intelligent technologies.It provides a detailed analysis of various diseases such as cracks and ruts,as well as complex causes such as traffic and environment,comprehensively analyzes the principles and limitations of traditional technology,such as the low efficiency and human interference of deflection detection.It also systematically studies the advantages of intelligent technology,such as precise identification of artificial intelligence,efficient inspection of drones,and innovatively proposes a strategy for integrating data and technical methods to build an intelligent detection system that integrates multiple technologies.Through practical examples,the fusion scheme significantly improves detection efficiency and accuracy,providing strong support for highway maintenance.

关 键 词：高速公路 路面病害 检测技术 智能技术融合 

分 类 号：U418.6[交通运输工程—道路与铁道工程]