Yang Liu , Yuannan Gan , Zhihua Yang , Sheng Qiang
{"title":"水库大坝智能化施工技术","authors":"Yang Liu , Yuannan Gan , Zhihua Yang , Sheng Qiang","doi":"10.1016/j.autcon.2025.106177","DOIUrl":null,"url":null,"abstract":"<div><div>Driven by Industry 4.0, the construction of reservoir dams is entering a new phase characterized by both opportunities and challenges. The deep integration of technologies such as artificial intelligence, big data, and digital twins aims to enhance the safety, quality, efficiency, and sustainability of dam projects. This paper utilizes VOSviewer analysis software to conduct a bibliometric analysis of intelligent construction technologies within the field of reservoir dams. The research findings reveal current trends in this field, providing an in-depth examination of global publication patterns, national contributions, and keyword co-occurrence. Finally, this paper summarizes key emerging research topics and offers insights into future research directions along with potential challenges facing the field. It provides a comprehensive review and analytical framework to support innovation and sustainable development in intelligent dam construction.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106177"},"PeriodicalIF":9.6000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent construction technology for reservoir dams\",\"authors\":\"Yang Liu , Yuannan Gan , Zhihua Yang , Sheng Qiang\",\"doi\":\"10.1016/j.autcon.2025.106177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Driven by Industry 4.0, the construction of reservoir dams is entering a new phase characterized by both opportunities and challenges. The deep integration of technologies such as artificial intelligence, big data, and digital twins aims to enhance the safety, quality, efficiency, and sustainability of dam projects. This paper utilizes VOSviewer analysis software to conduct a bibliometric analysis of intelligent construction technologies within the field of reservoir dams. The research findings reveal current trends in this field, providing an in-depth examination of global publication patterns, national contributions, and keyword co-occurrence. Finally, this paper summarizes key emerging research topics and offers insights into future research directions along with potential challenges facing the field. It provides a comprehensive review and analytical framework to support innovation and sustainable development in intelligent dam construction.</div></div>\",\"PeriodicalId\":8660,\"journal\":{\"name\":\"Automation in Construction\",\"volume\":\"175 \",\"pages\":\"Article 106177\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2025-04-04\",\"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/S0926580525002171\",\"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/S0926580525002171","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 construction technology for reservoir dams
Driven by Industry 4.0, the construction of reservoir dams is entering a new phase characterized by both opportunities and challenges. The deep integration of technologies such as artificial intelligence, big data, and digital twins aims to enhance the safety, quality, efficiency, and sustainability of dam projects. This paper utilizes VOSviewer analysis software to conduct a bibliometric analysis of intelligent construction technologies within the field of reservoir dams. The research findings reveal current trends in this field, providing an in-depth examination of global publication patterns, national contributions, and keyword co-occurrence. Finally, this paper summarizes key emerging research topics and offers insights into future research directions along with potential challenges facing the field. It provides a comprehensive review and analytical framework to support innovation and sustainable development in intelligent dam construction.
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.