{"title":"A Target Detection Algorithm for Marks Layout in Detail Drawings of Steel Structure","authors":"Yanlei Man, Qilin Zhang, Ying Cai, Zhiguo Chang","doi":"10.1007/s13296-025-00952-w","DOIUrl":null,"url":null,"abstract":"<div><p>Detail drawings play an essential role in the steel structure manufacture as the basis for guiding manufacture and installation. Detail drawings are generally generated through software automatically nowadays. However, the current drawings created automatically by software are not of high quality, and the marks are overlapped, unattractive and unclear in the automatically generated drawings, which require considerable effort to manually adjust the position of the marks. In this paper, we developed an artificial intelligence algorithm for marks layout based on target detection algorithm. First, the marks layout problem is defined as the target detection problem. Then the Faster RCNN algorithm is refined on the basis of the unique characteristics of the marks layout problem, so that the algorithm is greatly strengthened in terms of accuracy and efficiency. It has been verified that after learning from the marks library, the marks generated by the proposed algorithm meet the requirements of manufacture. The aesthetics and clarity are significantly improved, and the workload of manual marks adjustment is dramatically reduced.</p></div>","PeriodicalId":596,"journal":{"name":"International Journal of Steel Structures","volume":"25 2","pages":"557 - 570"},"PeriodicalIF":1.1000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Steel Structures","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s13296-025-00952-w","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Detail drawings play an essential role in the steel structure manufacture as the basis for guiding manufacture and installation. Detail drawings are generally generated through software automatically nowadays. However, the current drawings created automatically by software are not of high quality, and the marks are overlapped, unattractive and unclear in the automatically generated drawings, which require considerable effort to manually adjust the position of the marks. In this paper, we developed an artificial intelligence algorithm for marks layout based on target detection algorithm. First, the marks layout problem is defined as the target detection problem. Then the Faster RCNN algorithm is refined on the basis of the unique characteristics of the marks layout problem, so that the algorithm is greatly strengthened in terms of accuracy and efficiency. It has been verified that after learning from the marks library, the marks generated by the proposed algorithm meet the requirements of manufacture. The aesthetics and clarity are significantly improved, and the workload of manual marks adjustment is dramatically reduced.
期刊介绍:
The International Journal of Steel Structures provides an international forum for a broad classification of technical papers in steel structural research and its applications. The journal aims to reach not only researchers, but also practicing engineers. Coverage encompasses such topics as stability, fatigue, non-linear behavior, dynamics, reliability, fire, design codes, computer-aided analysis and design, optimization, expert systems, connections, fabrications, maintenance, bridges, off-shore structures, jetties, stadiums, transmission towers, marine vessels, storage tanks, pressure vessels, aerospace, and pipelines and more.