摘要
复杂环境下的地下综合管线探测工作面临地质介质变化大、表面干扰强、管线材质多样等多重挑战。传统探测手段在精度、穿透力与判读效率方面存在明显局限,难以满足城市更新与基础设施建设对管线信息精准获取的需求。近年来,地质雷达、激光扫描、磁电感应与智能声波等技术不断融合发展,带动探测手段向高精度、智能化方向演进。本文提出多传感器融合与人工智能识别技术的引入,为复杂环境下的地下管线探测提供了新的解决思路,在提升识别准确性与施工安全性方面具有显著优势,正逐步成为工程实践中的重要手段。
The detection work of underground comprehensive pipelines in complex environmental conditions faces multiple challenges such as large changes in geological media,strong surface interference,and diverse pipeline materials.Traditional detection methods have obvious limitations in terms of precision,penetration,and interpretation efficiency,making it difficult to meet the precise acquisition needs of pipeline information for urban renewal and infrastructure construction.In recent years,the continuous integration and development of technologies such as geological radar,laser scanning,magnetoelectric induction,and intelligent acoustic waves have driven the evolution of detection methods towards high precision and intelligence.The introduction of multi-sensor fusion and artificial intelligence recognition technology has provided a new solution for underground pipeline detection in complex environments.It has significant advantages in improving recognition accuracy and construction safety,and is gradually becoming an important means in engineering practice.
作者
沈旭甜
张娟
Shen Xutian;Zhang Juan(Yangzhou Aerospace Surveying and Mapping Technology Co.,Ltd.,Yangzhou,225100,Jiangsu)
出处
《建设科技》
2025年第15期41-43,47,共4页
Construction Science and Technology
关键词
复杂环境
地下管线探测
地质雷达
智能识别
complex environment
underground pipeline detection
geological radar
intelligent recognition
