Automation in Construction最新文献_第4页

Real-time and high-accuracy defect monitoring for 3D concrete printing using transformer networks 基于变压器网络的三维混凝土打印缺陷实时、高精度监测

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105925

Hongyu Zhao , Junbo Sun , Xiangyu Wang , Yufei Wang , Yang Su , Jun Wang , Li Wang

{"title":"Real-time and high-accuracy defect monitoring for 3D concrete printing using transformer networks","authors":"Hongyu Zhao , Junbo Sun , Xiangyu Wang , Yufei Wang , Yang Su , Jun Wang , Li Wang","doi":"10.1016/j.autcon.2024.105925","DOIUrl":"10.1016/j.autcon.2024.105925","url":null,"abstract":"<div><div>Defects and anomalies during the 3D concrete printing (3DCP) process significantly affect final construction quality. This paper proposes a real-time, high-accuracy method for monitoring defects in the printing process using a transformer-based detector. Despite limited data availability, deep learning-based data augmentation and image processing techniques were employed to enable effective training of this complex transformer model. A range of enhancement strategies was applied to the RT-DETR, resulting in remarkable improvements, including a mAP50 of 98.1 %, mAP50–95 of 68.0 %, and a computation speed of 72 FPS. The enhanced RT-DETR outperformed state-of-the-art detectors such as YOLOv8 and YOLOv7 in detecting defects in 3DCP. Furthermore, the improved RT-DETR was used to analyze the relationships between defect count, size, and printer parameters, providing guidance for operators to fine-tune printer settings and promptly address defects. This monitoring method reduces material waste and minimizes the risk of structural collapse during the printing process.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105925"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Incremental digital twin framework: A design science research approach for practical deployment 增量数字孪生框架：用于实际部署的设计科学研究方法

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105954

Diego Calvetti , Pedro Mêda , Eilif Hjelseth , Hipólito de Sousa

{"title":"Incremental digital twin framework: A design science research approach for practical deployment","authors":"Diego Calvetti , Pedro Mêda , Eilif Hjelseth , Hipólito de Sousa","doi":"10.1016/j.autcon.2024.105954","DOIUrl":"10.1016/j.autcon.2024.105954","url":null,"abstract":"<div><div>Digital Twins (DTw) in the construction industry combine multiple digital concepts aimed at achieving high levels of automation. While the industry pursues digital transition, professionals struggle to implement DTw due to their complexity and lack of standards. An incremental approach to deploying DTw can enable phased implementations, reducing costs and delivering faster outcomes. This paper applies Design Science Research (DSR) to develop, test, and improve an incremental Digital Twin (iDTw) framework for practical deployment. The iDTw is demonstrated and evaluated over three diversified use cases (Municipality Implementations, Residential House and Industrial Facility Operation) provided by experienced professionals from different backgrounds. With-case and cross-case analyses are conducted. iDTw results gave proper responses for the use cases, demonstrating the capability to drive awareness of DTw implementation. Finally, the iDTw combines theory and practice by offering a structured approach for assessing DTw smartness levels and tailored responses, bridging theoretical concepts with real-world applications.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105954"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital tool integrations for architectural reuse of salvaged building materials 用于回收建筑材料的建筑再利用的数字工具集成

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105947

Malgorzata A. Zboinska, Frederik Göbel

{"title":"Digital tool integrations for architectural reuse of salvaged building materials","authors":"Malgorzata A. Zboinska, Frederik Göbel","doi":"10.1016/j.autcon.2024.105947","DOIUrl":"10.1016/j.autcon.2024.105947","url":null,"abstract":"<div><div>Building material reuse can reduce the environmental impact of construction yet its advanced digital support is still limited. Which digital tools could effectively support repair of highly irregular, salvaged materials? To probe this question, a framework featuring six advanced digital tools is proposed and verified through six design and prototyping experiments. The experiments demonstrate that a digital toolkit integrating photogrammetry, robot vision, machine learning, computer vision, computational design, and robotic 3D printing effectively supports repair and recovery of irregular reclaimed materials, enabling their robust digitization, damage detection, and feature-informed computational redesign and refabrication. These findings contribute to the advancement of digitally aided reuse practices in the construction sector, providing valuable insights into accommodating highly heterogeneous reclaimed materials by leveraging advanced automation and digitization. They provide the crucial and currently missing technological and methodological foundation needed to inform future research on industrial digital solutions for reuse.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105947"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning-enhanced smart ground robotic system for automated structural damage inspection and mapping 用于自动结构损伤检测和测绘的深度学习增强智能地面机器人系统

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105951

Liangfu Ge , Ayan Sadhu

{"title":"Deep learning-enhanced smart ground robotic system for automated structural damage inspection and mapping","authors":"Liangfu Ge , Ayan Sadhu","doi":"10.1016/j.autcon.2024.105951","DOIUrl":"10.1016/j.autcon.2024.105951","url":null,"abstract":"<div><div>Ground robotic systems are essential for structural inspection, enhancing mobility, efficiency, and safety while minimizing risks in manual inspections. These systems automate 3D mapping and defect assessment in aging. However, current robotic platforms often require the integration of various sensors and complex parameter tuning, raising costs and limiting efficiency. This paper proposes a streamlined unmanned ground vehicle-based inspection platform, integrating only LiDAR and a low-cost monocular camera. Operated via the Robot Operating System, the platform deploys efficient instance segmentation, Simultaneous Localization and Mapping, and fusion algorithms, eliminating complex tuning across environments. A self-attention-enhanced YOLOv7 algorithm is proposed for accurate damage segmentation with limited datasets, while an enhanced KISS-ICP (Keep It Small and Simple-Iterative Closest Point) algorithm is developed to optimize point cloud odometry for efficient mapping and localization. By introducing camera-LiDAR information fusion, the proposed platform achieves structural mapping, damage localization, quantification, and 3D visualization. Laboratory and full-scale bridge tests demonstrated its high accuracy, efficiency, and robustness.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105951"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parametric design methodology for developing BIM object libraries in construction site modeling 在建筑工地建模中开发BIM对象库的参数化设计方法

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105897

Vito Getuli , Alessandro Bruttini , Farzad Rahimian

{"title":"Parametric design methodology for developing BIM object libraries in construction site modeling","authors":"Vito Getuli , Alessandro Bruttini , Farzad Rahimian","doi":"10.1016/j.autcon.2024.105897","DOIUrl":"10.1016/j.autcon.2024.105897","url":null,"abstract":"<div><div>The adoption of Building Information Modeling (BIM) in construction site layout planning and activity scheduling faces challenges due to the lack of standardized approaches for digitally reproducing and organizing site elements that meet information requirements of diverse regulatory frameworks and stakeholders' use cases. This paper addresses the question of how to streamline the development of BIM objects for construction site modeling by proposing a vendor-neutral parametric design methodology and introduces a dedicated hierarchical structure for BIM object libraries to support users in their implementation. The methodology includes a six-step process for creating informative content, parametric geometries, and documentation, and is demonstrated through the development and implementation of a construction site BIM object library suitable for the Italian context. This approach fills a gap in BIM object development standards and offers a foundation for future research, benefiting practitioners and industry stakeholders involved in BIM-based site layout modeling and activity planning.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105897"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced real-time detection transformer (RT-DETR) for robotic inspection of underwater bridge pier cracks 用于水下桥墩裂缝机器人检测的增强型实时检测变压器 (RT-DETR)

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105921

Zhenming Lv , Shaojiang Dong , Zongyou Xia , Jingyao He , Jiawei Zhang

引用次数: 0

Dynamic hazard analysis on construction sites using knowledge graphs integrated with real-time information 基于知识图谱和实时信息的建筑工地动态危害分析

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105938

Juntong Zhang , Xin Ruan , Han Si , Xiangyu Wang

{"title":"Dynamic hazard analysis on construction sites using knowledge graphs integrated with real-time information","authors":"Juntong Zhang , Xin Ruan , Han Si , Xiangyu Wang","doi":"10.1016/j.autcon.2024.105938","DOIUrl":"10.1016/j.autcon.2024.105938","url":null,"abstract":"<div><div>Construction, as a significant production activity, is inherently prone to accidents. These accidents often result from a chain of multiple hazards. However, existing methods of hazard analysis are limited to single-dimensional network modeling and static analysis, which makes them inadequate for addressing the complexity and variability of construction sites. This paper presents a dynamic construction hazard analysis method that integrates real-time information into knowledge graphs. In this approach, label entities are added to general knowledge graphs, linking hazard entities to their labels. Labels identified through vision-based methods are then incorporated into the graphs, allowing for the effective extraction and updating of subgraphs in response to spatiotemporal changes in the scenario. Additionally, graph analysis metrics have been proposed to evaluate the system from multiple levels. Finally, the method was applied to a bridge foundation construction case, demonstrating its practicality and significance in preventing accidents by enabling dynamic hazard analysis.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105938"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automation in manufacturing and assembly of industrialised construction 工业建筑的制造和装配自动化

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105945

Li Xu , Yang Zou , Yuqian Lu , Alice Chang-Richards

{"title":"Automation in manufacturing and assembly of industrialised construction","authors":"Li Xu , Yang Zou , Yuqian Lu , Alice Chang-Richards","doi":"10.1016/j.autcon.2024.105945","DOIUrl":"10.1016/j.autcon.2024.105945","url":null,"abstract":"<div><div>The integration of automation technologies has improved the efficiency of industrialised construction (IC), yet a deeper understanding of their effects on the manufacturing and assembly stages remains necessary. This paper provides a systematic review of how various automation technologies influence these key stages in IC, analysing 53 articles. It explores the deployment of 22 technologies, including the Internet of Things (IoT), deep learning, digital twins, and robotics, and identifies seven benefits for IC: (1) interoperability, (2) scheduling optimisation, (3) production traceability, (4) production safety, (5) manufacturability, (6) quality assurance, and (7) constructability. To further advance automation in IC, future research should address critical challenges, including enhancing data quality, expanding empirical testing, exploring emerging technologies in depth, and integrating fragmented workflows. This article underscores the need of strategic technology deployment to seamlessly integrate various processes in future construction practices, offering insights into the transformative potential of automation.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105945"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Delamination detection in concrete decks using numerical simulation and UAV-based infrared thermography with deep learning 基于数值模拟和深度学习的无人机红外热成像技术的混凝土甲板分层检测

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105940

Dyala Aljagoub , Ri Na , Chongsheng Cheng

{"title":"Delamination detection in concrete decks using numerical simulation and UAV-based infrared thermography with deep learning","authors":"Dyala Aljagoub , Ri Na , Chongsheng Cheng","doi":"10.1016/j.autcon.2024.105940","DOIUrl":"10.1016/j.autcon.2024.105940","url":null,"abstract":"<div><div>The potential of concrete bridge delamination detection using infrared thermography (IRT) has grown with technological advancements. However, most current studies require an external input (subjective threshold), reducing the detection's objectivity and accuracy. Deep learning enables automation and streamlines data processing, potentially enhancing accuracy. Yet, data scarcity poses a challenge to deep learning applications, hindering their performance. This paper aims to develop a deep learning approach using supervised learning object detection models with extended data from real and simulated images. The numerical simulation image supplementation seeks to eliminate the limited data barrier by creating a comprehensive dataset, potentially improving model performance and robustness. Mask R-CNN and YOLOv5 were tested across various training data and model parameter combinations to develop an optimal detection model. Lastly, when tested, the model showed a remarkable ability to detect delamination of varying properties accurately compared to currently employed IRT techniques.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105940"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automation in tower cranes over the past two decades (2003–2024) 过去二十年（2003-2024）塔机自动化

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-02-01 DOI: 10.1016/j.autcon.2024.105889

Muhammad Muddassir , Tarek Zayed , Ali Hassan Ali , Mohamed Elrifaee , Sulemana Fatoama Abdulai , Tong Yang , Amr Eldemiry

{"title":"Automation in tower cranes over the past two decades (2003–2024)","authors":"Muhammad Muddassir , Tarek Zayed , Ali Hassan Ali , Mohamed Elrifaee , Sulemana Fatoama Abdulai , Tong Yang , Amr Eldemiry","doi":"10.1016/j.autcon.2024.105889","DOIUrl":"10.1016/j.autcon.2024.105889","url":null,"abstract":"<div><div>Tower cranes play a vital role in modern construction for transporting material, yet the persisting issue of crane-related accidents, often attributable to human error, underscores the urgent need for automated crane operations to enhance safety on construction sites. Despite active research in this area, a gap exists in systematically examining and categorising advancements in tower crane automation and identifying key trends and limitations. This paper aims to address this gap by employing a mixed-methods approach, encompassing scientometric and systematic analyses. The scientometric analysis sheds light on key researchers, institutions, journals, and global research networks. Also, the systematic analysis delves into four primary research areas: crane operations, motion control, layout planning, and transport path optimisation. This paper identifies critical knowledge gaps and limitations in tower crane automation, suggests future research directions, and offers industry insights into current methodologies and global trends.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"170 ","pages":"Article 105889"},"PeriodicalIF":9.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0