水道港口2024，Vol.45Issue(4)：518-525,8.
水工建筑物混凝土裂缝非接触高精度监测设备研发
Research and development of non-contact high-precision monitoring equipment for concrete cracks in port construction buildings
摘要
Abstract
At present,crack detection in hydraulic structures primarily relies on manual identification,supplemented by conventional instrument detection,achieving a certain frequency of detection that is inefficient and has blind spots.Taking concrete cracks in hydraulic structures as the research object,a crack image recognition system platform and monitoring equipment were comprehensively developed.Firstly,a non-contact high-precision monitoring device for concrete cracks was designed.For the image processing module,deep learning U-Net technology was used to achieve precise segmentation of crack images.With the help of segmentation processing operations,end-to-end image processing was achieved.Subsequently,based on the image erosion technique of the perpendicular line,the crack width was calculated,and the crack length was measured by removing noise using the Hough transform.According to relevant regulations,concrete components were divided into four categories:slabs,beams,piles and pile caps,blocks,breast walls,and piers.Furthermore,crack monitoring and rating criteria were improved.Finally,the reliability and accuracy of the engineering prototype of high-precision monitoring equipment for cracks in hydraulic structures were tested.On the surface of the results,the non-contact high-precision monitoring equipment for concrete cracks in hydraulic structures achieves an accuracy of 0.08 mm in crack recognition.This systems enables automatic identification,type classification,accurate measurement,rating warnings and other functions of cracks,achieving the intelligent monitoring effect of structural cracking in hydraulic structures.关键词
水工建筑物/混凝土裂缝/裂缝识别/深度学习/监测设备Key words
port buildings/concrete cracks/crack recognition/machine vision/monitoring equipment分类
交通工程引用本文复制引用
朱鹏瑞,薛润泽,刘孟孟,王亚民,尹纪龙,张干,王鑫..水工建筑物混凝土裂缝非接触高精度监测设备研发[J].水道港口,2024,45(4):518-525,8.基金项目
国家重点研发计划项目(2022YFB2603000) （2022YFB2603000）
广西科技重大专项项目(桂科 AA23062045) （桂科 AA23062045）
浙江省科技项目(2022C01004) （2022C01004）
中央级公益性科研院所科研创新基金项目(TKS20230104) （TKS20230104）
