Automation in Construction最新文献

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Excavation trajectory planning for unmanned mining electric shovel using B-spline curves and point-by-point incremental strategy under uncertainty
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-25 DOI: 10.1016/j.autcon.2025.106135
Zhengguo Hu , Shibin Lin , Xiuhua Long , Yong Pang , Xiwang He , Xueguan Song
{"title":"Excavation trajectory planning for unmanned mining electric shovel using B-spline curves and point-by-point incremental strategy under uncertainty","authors":"Zhengguo Hu ,&nbsp;Shibin Lin ,&nbsp;Xiuhua Long ,&nbsp;Yong Pang ,&nbsp;Xiwang He ,&nbsp;Xueguan Song","doi":"10.1016/j.autcon.2025.106135","DOIUrl":"10.1016/j.autcon.2025.106135","url":null,"abstract":"<div><div>The intelligence of electric shovels plays a critical role in improving excavation efficiency and safety. A key challenge in intelligent excavation is generating an optimal excavation trajectory while considering material uncertainty. Therefore, an Unmanned mining Electric Shovel Trajectory Planning method based on the Point-by-point Incremental B-spline Curve under Uncertainty (UESTP-PIBCU) is proposed in this paper. The method establishes the dynamic model of the electric shovel working mechanism and the excavation resistance model, analyzes excavation resistance uncertainty parameters using interval possibility theory. Then, a multi-objective trajectory planning model considering excavation resistance uncertainty is established, and the optimal excavation trajectory is obtained through optimization. Experimental results demonstrate that UESTP-PIBCU outperforms commonly used methods in excavation efficiency and dipper fill ratio, and operational efficiency is effectively improved. Future research will explore the impact of multi-source uncertainties on excavation trajectories, to enhance the reliability and robustness of the intelligent electric shovel system.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106135"},"PeriodicalIF":9.6,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697065","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
Modeling heterogeneous spatiotemporal pavement data for condition prediction and preventive maintenance in digital twin-enabled highway management
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-25 DOI: 10.1016/j.autcon.2025.106134
Linjun Lu, Alix Marie d'Avigneau, Yuandong Pan, Zhaojie Sun, Peihang Luo, Ioannis Brilakis
{"title":"Modeling heterogeneous spatiotemporal pavement data for condition prediction and preventive maintenance in digital twin-enabled highway management","authors":"Linjun Lu,&nbsp;Alix Marie d'Avigneau,&nbsp;Yuandong Pan,&nbsp;Zhaojie Sun,&nbsp;Peihang Luo,&nbsp;Ioannis Brilakis","doi":"10.1016/j.autcon.2025.106134","DOIUrl":"10.1016/j.autcon.2025.106134","url":null,"abstract":"<div><div>Pavement preventive maintenance is one of the most fundamental use cases when deploying digital twins (DTs) for highway infrastructure management. To achieve this, it is essential to accurately predict the pavement conditions in future years. This paper developed a Spatial-Temporal Graph Attention network (STGAT) that can effectively capitalize on both spatial and temporal dependencies while addressing inherent heterogeneity in pavement data for more accurate condition predictions. On top of this, a structured assessment procedure was introduced to determine the need for preventive maintenance on road sections based on the STGAT predictions. A case study on the highway network in the United Kingdom was conducted to evaluate the method's performance. The results showed that the proposed method can achieve superior accuracy for pavement condition prediction and subsequent preventive maintenance assessment compared to existing methods, thus signifying its potential to improve the effectiveness of DTs for highway infrastructure management.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106134"},"PeriodicalIF":9.6,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681365","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 twin-enabled safety monitoring system for seamless worker-robot collaboration in construction
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-25 DOI: 10.1016/j.autcon.2025.106147
Xiao Lin, Ziyang Guo, Xinxiang Jin, Hongling Guo
{"title":"Digital twin-enabled safety monitoring system for seamless worker-robot collaboration in construction","authors":"Xiao Lin,&nbsp;Ziyang Guo,&nbsp;Xinxiang Jin,&nbsp;Hongling Guo","doi":"10.1016/j.autcon.2025.106147","DOIUrl":"10.1016/j.autcon.2025.106147","url":null,"abstract":"<div><div>Worker-robot collaboration (WRC) has emerged as a transformative approach to augmenting the productivity of the construction industry. However, the development of a safety monitoring method or system for stopping robot operations in emergency is imperative, especially for seamless WRC on site. This paper presents a digital twin-enabled safety monitoring system for seamless WRC on site, characterized by its comprehensive perception of dynamic entities and dynamic calculation of protective separation distances during seamless WRC. The effectiveness of the proposed system is substantiated through a series of experiments, the result demonstrates its proficiency in mitigating collisions during robot operation in both static and dynamic WRC scenarios. The system achieves an average monitoring rate of 9.8 frames per second, an average reaction latency of 0.177 s, and a positional perception error of 0.09 m. It not only provides a practical tool for the implementation of seamless WRC on site, but also offers valuable insights for future WRC research.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106147"},"PeriodicalIF":9.6,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696797","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
Embedded machine vision sensor with portable imaging device and high durability
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-24 DOI: 10.1016/j.autcon.2025.106143
Pengfei Wu , Han Yuan , Bingchuan Bai , Bo Lu , Weijie Li , Xuefeng Zhao
{"title":"Embedded machine vision sensor with portable imaging device and high durability","authors":"Pengfei Wu ,&nbsp;Han Yuan ,&nbsp;Bingchuan Bai ,&nbsp;Bo Lu ,&nbsp;Weijie Li ,&nbsp;Xuefeng Zhao","doi":"10.1016/j.autcon.2025.106143","DOIUrl":"10.1016/j.autcon.2025.106143","url":null,"abstract":"<div><div>Machine vision sensors face challenges in automating the monitoring of internal structural damage and deformation, with limited lifespan and resolution accuracy. This paper develops a high-durable machine vision strain sensor, MISS-Silica. The sensor's durability is enhanced through materials, processes, and algorithms, ensuring its lifespan aligns with that of the structure. It combines an endoscope with a smartphone, eliminating the need for fixed camera positioning, and enables embedded strain measurement. With sub-pixel accuracy, the sensor reduces reliance on camera resolution and has a measurement range of 0.05<span><math><mi>ε</mi></math></span>, covering all stages from loading to failure. The results demonstrate that MISS-Silica provides a reliable, accurate, and durable solution for long-term structural health monitoring. Future research will explore its application in diverse environments, refine miniaturization, and improve real-time, large-scale monitoring capabilities.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106143"},"PeriodicalIF":9.6,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681366","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
Safety-constrained Deep Reinforcement Learning control for human–robot collaboration in construction
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-23 DOI: 10.1016/j.autcon.2025.106130
Kangkang Duan , Zhengbo Zou
{"title":"Safety-constrained Deep Reinforcement Learning control for human–robot collaboration in construction","authors":"Kangkang Duan ,&nbsp;Zhengbo Zou","doi":"10.1016/j.autcon.2025.106130","DOIUrl":"10.1016/j.autcon.2025.106130","url":null,"abstract":"<div><div>Worker safety has become an increasing concern in human–robot collaboration (HRC) due to potential hazards and risks introduced by robots. Deep Reinforcement Learning (DRL) has demonstrated to be efficient in training robots to acquire complex construction skills. However, neural network policies for collision avoidance lack theoretical safety guarantees and face challenges with out-of-distribution scenarios. This paper proposes a biomimetic safety-constrained DRL control system, inspired by vertebrate decision-making systems. A neural network policy serves as the ”brain” for complex decision-making, while a reference governor layer functions like the spinal cord, enabling rapid responses to environmental stimuli and prioritizing safety. Theoretical safety guarantees related to robot dynamics including torque, joint angle, velocity, and distance were analyzed. Experimental results demonstrate that the proposed method achieves a 0% collision rate, providing a safe HRC mode in both static and dynamic construction scenarios.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106130"},"PeriodicalIF":9.6,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681494","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
Thickness optimisation in 3D printed concrete structures
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-23 DOI: 10.1016/j.autcon.2025.106076
Romain Mesnil, Pedro Sarkis Rosa, Léo Demont
{"title":"Thickness optimisation in 3D printed concrete structures","authors":"Romain Mesnil,&nbsp;Pedro Sarkis Rosa,&nbsp;Léo Demont","doi":"10.1016/j.autcon.2025.106076","DOIUrl":"10.1016/j.autcon.2025.106076","url":null,"abstract":"<div><div>Layer pressing in 3D concrete printing (3DCP) allows to continuously modify the thickness of printed laces by changing adequately the robot speed. However, most applications consider a constant thickness throughout the printing and do not leverage all the possibilities from robotic technologies. The aim of this paper is to demonstrate the potential offered by thickness variation to achieve higher structural efficiency and to lower the material usage. To do so, analytical solutions for stress and buckling of tapered heavy column are recalled and highlight a potential of reduction of 25% of material for simple geometries with materials with low structuration rate. Numerical optimisation based on a penalty method and on the finite element simulation with shell elements is then implemented to minimise the volume of printed components for more complex geometries. Promising results are observed and should encourage the 3DCP community to further study this previously unexplored dimension of the process.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106076"},"PeriodicalIF":9.6,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681493","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 region extraction and displacement detection for paving blocks adjacent to deep excavation using photogrammetry
IF 9.6 1区 工程技术
Automation in Construction Pub Date : 2025-03-22 DOI: 10.1016/j.autcon.2025.106126
Jung Woo Kim , Jinman Jung , Taesik Kim
{"title":"Automated region extraction and displacement detection for paving blocks adjacent to deep excavation using photogrammetry","authors":"Jung Woo Kim ,&nbsp;Jinman Jung ,&nbsp;Taesik Kim","doi":"10.1016/j.autcon.2025.106126","DOIUrl":"10.1016/j.autcon.2025.106126","url":null,"abstract":"<div><div>Construction projects in urban environments often involve deep excavations, leading to ground deformations, such as settlement or uplift, which can harm nearby infrastructure. Monitoring is crucial for ensuring stability and safety because the displacement of paving blocks can indicate subsurface deformation. Traditional methods, like using settlement markers and leveling devices, only measure specific points rather than the entire surface deformation. Recent advancements in terrestrial photogrammetry offer point cloud data (PCD) to track sidewalk displacement but still require manual definition of the monitoring zone and displacement assessments. This paper focuses on automating Region Extraction and Displacement Detection (RED2) using PCD from photogrammetry. It describes the development of an algorithm that involves extracting the regions of interest and refining the surfaces. Displacement detection was then performed by identifying displacements and removing false positives. The proposed method provides an automated solution for monitoring ground deformations and enhancing safety measures for infrastructure adjacent to excavation.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106126"},"PeriodicalIF":9.6,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681492","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
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 ,&nbsp;Sungkook Hong ,&nbsp;Byungjoo Choi ,&nbsp;Youngjib Ham ,&nbsp;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 ,&nbsp;Tarek Zayed ,&nbsp;Beenish Bakhtawar ,&nbsp;Anthony Chen ,&nbsp;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 ,&nbsp;Qiuchen Lu ,&nbsp;Nan Li ,&nbsp;Long Chen ,&nbsp;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
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