Automation in Construction最新文献_第3页

Integrating text parsing and object detection for automated monitoring of finishing works in construction projects

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-22 DOI: 10.1016/j.autcon.2025.106139

Juseok Oh , Sungkook Hong , Byungjoo Choi , Youngjib Ham , Hyunsoo Kim

{"title":"Integrating text parsing and object detection for automated monitoring of finishing works in construction projects","authors":"Juseok Oh , Sungkook Hong , Byungjoo Choi , Youngjib Ham , Hyunsoo Kim","doi":"10.1016/j.autcon.2025.106139","DOIUrl":"10.1016/j.autcon.2025.106139","url":null,"abstract":"<div><div>Construction process monitoring traditionally relies on manual inspections and document cross-referencing, leading to inefficiencies in project management. Despite advances enabling computer vision-based monitoring and automated document analysis, integrating these technologies remains challenging, particularly in connecting field data with work documentation. This paper proposes an automated monitoring system integrating computer vision-based field data with text-based work instructions. The system employs YOLOv5 object detection models to analyze construction site images and architectural drawings, while utilizing text parsing techniques to extract information from work instructions. Validation using thirty apartment units demonstrated effectiveness in monitoring finishing works, particularly masonry and tiling applications. Results showed consistent performance in establishing automated connections between work instructions, drawings, and site conditions, reducing manual verification requirements while maintaining high accuracy. The successful implementation in finishing works demonstrates potential scalability for broader construction applications with varying complexity levels.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106139"},"PeriodicalIF":9.6,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681491","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

Damage assessment of modular integrated construction during transport and assembly using a hybrid CNN–Gated recurrent unit model

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-22 DOI: 10.1016/j.autcon.2025.106136

Husnain Arshad , Tarek Zayed , Beenish Bakhtawar , Anthony Chen , Heng Li

{"title":"Damage assessment of modular integrated construction during transport and assembly using a hybrid CNN–Gated recurrent unit model","authors":"Husnain Arshad , Tarek Zayed , Beenish Bakhtawar , Anthony Chen , Heng Li","doi":"10.1016/j.autcon.2025.106136","DOIUrl":"10.1016/j.autcon.2025.106136","url":null,"abstract":"<div><div>Modular integrated construction (MiC) offers improved sustainability and automation. Nevertheless, its performance is impeded by extensive logistics operations, including multimode transportation, recurring loading-unloading, stacking, and assembly. Such rigorous operations may cause inadvertent underlying damage to module structure, leading to supply chain disruptions, safety hazards and structural deterioration. A robust real-time damage prediction can mitigate such issues. Thus, this paper develops a hybrid deep learning model for MiC module damage prediction, integrating convolutional and sequential neural networks. The developed hybrid CNN-GRU model establishes correlations between module motion during logistic operations and corresponding structural variations. The multivariate training and testing data of MiC operations is collected using a multi-sensing IoT system. The model is validated for damage scenarios to assess damage level and location, demonstrating a 96 % (R<sup>2</sup>) accuracy. The model provides practical considerations through a robust, automated damage prediction to enhance the safety, productivity and proactive maintenance of MiC modules.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106136"},"PeriodicalIF":9.6,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681490","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

Common data environment for digital twins from building to city levels

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-21 DOI: 10.1016/j.autcon.2025.106131

Jiayi Yan , Qiuchen Lu , Nan Li , Long Chen , Michael Pitt

{"title":"Common data environment for digital twins from building to city levels","authors":"Jiayi Yan , Qiuchen Lu , Nan Li , Long Chen , Michael Pitt","doi":"10.1016/j.autcon.2025.106131","DOIUrl":"10.1016/j.autcon.2025.106131","url":null,"abstract":"<div><div>Digital twin (DT) technology is pivotal for advancing sustainable, liveable, and resilient smart cities. As DTs scale from building to infrastructure and city levels, data management remains a key challenge due to increasing data heterogeneity. This paper addresses this gap by defining a common data environment (CDE) that connects physical and virtual spaces with three enablers: data sources, data management with functional components (FCs), and data consumers. A systematic literature review (SLR) of 264 papers (from 14,532) analyses these enablers, identifying knowledge gaps and future directions. A prospective DT data ecosystem model is proposed to support city-level DTs (CDT) and federated sub-DTs, integrating informational, technological, functional, organisational, and user-centred features. The paper highlights the immaturity of current data environments in managing heterogeneous data for comprehensive DT applications. It provides state-of-the-art insights and practical recommendations to researchers, practitioners, and policymakers to enhance data management in diverse smart city scenarios.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106131"},"PeriodicalIF":9.6,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672843","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

Hyperbolic fuzzy set decision framework for construction contracts integrating CRITIC and WASPAS for dispute mitigation

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-20 DOI: 10.1016/j.autcon.2025.106137

Edmundas Kazimieras Zavadskas , Raghunathan Krishankumar , Kattur Soundarapandian Ravichandran , Arvydas Vilkonis , Jurgita Antucheviciene

{"title":"Hyperbolic fuzzy set decision framework for construction contracts integrating CRITIC and WASPAS for dispute mitigation","authors":"Edmundas Kazimieras Zavadskas , Raghunathan Krishankumar , Kattur Soundarapandian Ravichandran , Arvydas Vilkonis , Jurgita Antucheviciene","doi":"10.1016/j.autcon.2025.106137","DOIUrl":"10.1016/j.autcon.2025.106137","url":null,"abstract":"<div><div>The paper attempts to mitigate disputes during drafting of a construction contract by presenting a decision framework. The research questions considered are to set the main criteria involved and their relative importance in contract clauses selection and evaluate the priority of different contract clauses. In response, the paper presents an integrated framework involving hyperbolic fuzzy data, CRiteria Importance Through Intercriteria Correlation (CRITIC) method for criteria weight calculation, and query-based Weighted Aggregated Sum Product ASsessment (WASPAS) method for determining personalized priority of contract clauses. Results infer that work termination, customer reserve, guarantee periods and responsibilities of contractor/customer are the key criteria, and contract under the Fédération Internationale des Ingénieurs-Conseils (FIDIC) Yellow Book is of top priority. Such integrated framework serves as supplement to contractors and customers for prompt and rational decision-making by reducing human intervention, managing uncertainty, and reducing bias/subjectivity. In the future, plans are made to include a priori information into the decision framework.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106137"},"PeriodicalIF":9.6,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672844","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

Topology-informed deep learning for pavement crack detection: Preserving consistent crack structure and connectivity

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-20 DOI: 10.1016/j.autcon.2025.106120

Jiayv Jing , Ling Ding , Xu Yang , Xu Feng , Jinchao Guan , Hong Han , Hainian Wang

{"title":"Topology-informed deep learning for pavement crack detection: Preserving consistent crack structure and connectivity","authors":"Jiayv Jing , Ling Ding , Xu Yang , Xu Feng , Jinchao Guan , Hong Han , Hainian Wang","doi":"10.1016/j.autcon.2025.106120","DOIUrl":"10.1016/j.autcon.2025.106120","url":null,"abstract":"<div><div>This paper addresses the challenge of crack detection, where incorrect connections often distort crack topology. By leveraging topology theory, which focuses on properties that remain invariant under continuous transformations, the goal is to preserve key geometric features like connectivity and loops. For future-oriented road maintenance, fine segmentation that preserves the topological integrity of crack structures is essential for efficient automated repairs and crack characterization. To this end, the research combines persistent homology (pH) with the U-Net architecture enhanced by the Vmamba model, forming TopoM-CrackNet. TopoM-CrackNet outperforms other topology-preserving methods, such as Topoloss, with a Betti number of 4.032. It also achieves a mean Intersection over Union (mIoU) of 0.727, surpassing traditional methods like nnUnet and Segformer, and is nearly twice as fast. Overall, the key contribution is its ability to significantly improve crack topology preservation during segmentation, offering technical support for crack detection and automatic repair.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106120"},"PeriodicalIF":9.6,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672845","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

Tunnel location optimization for railway alignment design in complex mountainous regions

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-19 DOI: 10.1016/j.autcon.2025.106132

Xinjie Wan , Hao Pu , Paul Schonfeld , Yang Ran , Taoran Song , Wei Li , Jianping Hu

{"title":"Tunnel location optimization for railway alignment design in complex mountainous regions","authors":"Xinjie Wan , Hao Pu , Paul Schonfeld , Yang Ran , Taoran Song , Wei Li , Jianping Hu","doi":"10.1016/j.autcon.2025.106132","DOIUrl":"10.1016/j.autcon.2025.106132","url":null,"abstract":"<div><div>In complex mountainous regions, optimizing continuous tunnel locations for railways presents significant challenges. To address this, a tunnel location optimization model is developed, incorporating key factors such as construction cost, structural stability, and alignment coherence. In this model, specific design variables and constraints for tunnel portals and bodies are also formulated. Then, a three-stage optimization method is designed: (1) Potential tunnel portal (PTP) locations are identified through a geospatial analysis. (2) Potential tunnel and non-tunnel paths are constructed using a graph structure. (3) Based on the graph, a multi-objective shortest-path algorithm and a fine-tuning process are adopted for determining the final optimized railway alignment. Ultimately, the proposed model and method are tested on two real-world railway cases in undulating terrain. Experimental results show that the method outperforms a conventional particle swarm optimization method in both execution efficiency and solution quality across all optimized objectives.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106132"},"PeriodicalIF":9.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672850","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

Automated residential layout generation and editing using natural language and images

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-19 DOI: 10.1016/j.autcon.2025.106133

Pengyu Zeng , Wen Gao , Jizhizi Li , Jun Yin , Jiling Chen , Shuai Lu

{"title":"Automated residential layout generation and editing using natural language and images","authors":"Pengyu Zeng , Wen Gao , Jizhizi Li , Jun Yin , Jiling Chen , Shuai Lu","doi":"10.1016/j.autcon.2025.106133","DOIUrl":"10.1016/j.autcon.2025.106133","url":null,"abstract":"<div><div>Architectural design, including for the most common residential buildings, is a complex process that typically requires iterative revisions by skilled architects. This paper addresses how to automate the generation and modification of residential layouts, to lower the design threshold and enable cost-effective, user-driven generation and editing. This paper proposes Text2FloorEdit, a framework that decomposes the design task into three components: Residential Layout Generation (RL-Net) for flexible residential layout generation; Window, Door, and Wall Generation (WD-Net) for detailed floor plan generation with lower training costs; and a 3D rendering system for visualisation. The proposed approach enables the efficient generation and modification of residential layouts using flexible inputs like natural language and images, without the need for multimodal datasets. This solution is particularly valuable for architects and non-professionals seeking cost-effective, user-friendly tools for automated residential design. This paper opens new directions in cross-modal generative models, with the potential to enhance architectural design automation.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106133"},"PeriodicalIF":9.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644474","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

Automating inspection data from bridge management system into bridge information model

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-18 DOI: 10.1016/j.autcon.2025.106128

Carlos Santos , Furkan Luleci , João Amado , José C. Matos , F. Necati Catbas

{"title":"Automating inspection data from bridge management system into bridge information model","authors":"Carlos Santos , Furkan Luleci , João Amado , José C. Matos , F. Necati Catbas","doi":"10.1016/j.autcon.2025.106128","DOIUrl":"10.1016/j.autcon.2025.106128","url":null,"abstract":"<div><div>This paper presents an approach to enhance the implementation of the Bridge Information Modeling (BrIM) methodology during the operational stage by automating the integration of inspection data from Bridge Management Systems (BMS) into BrIM models. While the data from BMS is available and retrievable from spreadsheets, the 3D bridge model is represented according to the Industry Foundation Classes (IFC) data model. Then, this paper introduces an algorithm that ensures seamless interoperability between the spreadsheets and the IFC data model. The semantically enriched BrIM models are achieved through a set of rules and procedures that are established to simplify the matching of the modeled objects with the components that characterize the bridge in the BMS. The openness of the IFC data model allows the identification of appropriate entities to store the corresponding information that comes from the BMS. This automated process removes the need for manual attachment of inspection data into IFC files, which is prone to errors, reduces the complexity of moving towards BrIM-based bridge management practices, and increases the efficiency of creating BrIM models for existing bridges. Finally, the proposed approach is a scalable and transferable solution that transportation agencies worldwide can adopt to manage bridge assets.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106128"},"PeriodicalIF":9.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644473","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

Monitoring concrete pouring progress using knowledge graph-enhanced computer vision

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-18 DOI: 10.1016/j.autcon.2025.106117

Fabian Pfitzner , Songbo Hu , Alexander Braun , André Borrmann , Yihai Fang

{"title":"Monitoring concrete pouring progress using knowledge graph-enhanced computer vision","authors":"Fabian Pfitzner , Songbo Hu , Alexander Braun , André Borrmann , Yihai Fang","doi":"10.1016/j.autcon.2025.106117","DOIUrl":"10.1016/j.autcon.2025.106117","url":null,"abstract":"<div><div>Accurate progress measurement in concrete pouring is essential to prevent project delays and material waste. This paper introduces a knowledge graph (KG)-enhanced computer vision (CV) method to improve the accuracy and generalizability of traditional methods used in concrete pouring monitoring, which often struggle to integrate contextual data. By combining object detection and extracting information from BIM models, the method creates a KG to represent spatial–temporal relationships among building components and pouring-related resources (<em>e.g</em>., concrete mixer, bucket, hose, workers). Rule-based interpretation and Graph Neural Networks (GNN) classify pouring states and cycles, achieving 80.3% accuracy with the rule-based system and 89.2% with GNN in conducted experiments on ten samples across two construction sites. These findings demonstrate that the KG-enhanced CV method provides generalizability, offering data-driven support for site managers to efficiently coordinate processes. This approach lays the foundation for detailed process-oriented digital twinning of construction projects, enabling deeper insights and better decision-making.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106117"},"PeriodicalIF":9.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644470","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

Performance-based payment mechanism for common data environment (CDE) adoption in construction projects

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-03-15 DOI: 10.1016/j.autcon.2025.106089

Ron C.W. Ng, Jack C.P. Cheng, George C.W. Cheng, Ka Hang Fung, Chun Wai Fong

引用次数: 0