Yuhan Li , Xiaopeng Yang , Junbo Gong , Jian Wang , Zihang Jiang , Tian Lan
{"title":"利用探地雷达智能检测建筑外保温层的粘接状态","authors":"Yuhan Li , Xiaopeng Yang , Junbo Gong , Jian Wang , Zihang Jiang , Tian Lan","doi":"10.1016/j.autcon.2025.106100","DOIUrl":null,"url":null,"abstract":"<div><div>The bonding status of external building insulation layer is crucial for thermal insulation and long-term safety, but existing detection methods lack efficiency and accuracy. This paper explores the use of Ground-Penetrating Radar (GPR) technology for accurately estimating bonding areas and precisely identifying top and subgrade debonding defects in external building insulation layers. It proposes an end-to-end intelligent detection method based on GPR, incorporating a multi-task branch network that automatically selects C-scan depth slices for semantic segmentation to estimate bonding areas and utilizes B-scan slices for target detection of debonding defects. Results show that area estimation’s relative error is 0.70%, debonding detection accuracy reaches 78.45%, and the model performs well in complex scenarios. This paper provides the application of GPR in building inspection, promoting hazard discovery and technological advancement. Future work will focus on improving clutter suppression algorithms and C-scan depth slice extraction methods to further enhance detection results.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"173 ","pages":"Article 106100"},"PeriodicalIF":9.6000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent detection of bonding status in external building insulation layers using ground-penetrating radar\",\"authors\":\"Yuhan Li , Xiaopeng Yang , Junbo Gong , Jian Wang , Zihang Jiang , Tian Lan\",\"doi\":\"10.1016/j.autcon.2025.106100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The bonding status of external building insulation layer is crucial for thermal insulation and long-term safety, but existing detection methods lack efficiency and accuracy. This paper explores the use of Ground-Penetrating Radar (GPR) technology for accurately estimating bonding areas and precisely identifying top and subgrade debonding defects in external building insulation layers. It proposes an end-to-end intelligent detection method based on GPR, incorporating a multi-task branch network that automatically selects C-scan depth slices for semantic segmentation to estimate bonding areas and utilizes B-scan slices for target detection of debonding defects. Results show that area estimation’s relative error is 0.70%, debonding detection accuracy reaches 78.45%, and the model performs well in complex scenarios. This paper provides the application of GPR in building inspection, promoting hazard discovery and technological advancement. Future work will focus on improving clutter suppression algorithms and C-scan depth slice extraction methods to further enhance detection results.</div></div>\",\"PeriodicalId\":8660,\"journal\":{\"name\":\"Automation in Construction\",\"volume\":\"173 \",\"pages\":\"Article 106100\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2025-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automation in Construction\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0926580525001402\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525001402","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Intelligent detection of bonding status in external building insulation layers using ground-penetrating radar
The bonding status of external building insulation layer is crucial for thermal insulation and long-term safety, but existing detection methods lack efficiency and accuracy. This paper explores the use of Ground-Penetrating Radar (GPR) technology for accurately estimating bonding areas and precisely identifying top and subgrade debonding defects in external building insulation layers. It proposes an end-to-end intelligent detection method based on GPR, incorporating a multi-task branch network that automatically selects C-scan depth slices for semantic segmentation to estimate bonding areas and utilizes B-scan slices for target detection of debonding defects. Results show that area estimation’s relative error is 0.70%, debonding detection accuracy reaches 78.45%, and the model performs well in complex scenarios. This paper provides the application of GPR in building inspection, promoting hazard discovery and technological advancement. Future work will focus on improving clutter suppression algorithms and C-scan depth slice extraction methods to further enhance detection results.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.