Automation in Construction最新文献_第5页

Quantitative assessment of cracks in concrete structures using active-learning-integrated transformer and unmanned robotic platform 利用主动学习集成变压器和无人机器人平台对混凝土结构裂缝进行定量评估

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-15 DOI: 10.1016/j.autcon.2024.105829

Wei Ding , Jiangpeng Shu , Carl James Debono , Vijay Prakash , Dylan Seychell , Ruben Paul Borg

{"title":"Quantitative assessment of cracks in concrete structures using active-learning-integrated transformer and unmanned robotic platform","authors":"Wei Ding , Jiangpeng Shu , Carl James Debono , Vijay Prakash , Dylan Seychell , Ruben Paul Borg","doi":"10.1016/j.autcon.2024.105829","DOIUrl":"10.1016/j.autcon.2024.105829","url":null,"abstract":"<div><div>Quantitative assessment of cracks in concrete bridges is crucial for structural health monitoring and digital twin. However, the training of crack segmentation models relies heavily on annotation resources, and their segmentation capabilities are often unsatisfactory in terms of the accuracy of boundary location of thin cracks encountered in practice. In this paper, an active-learning-integrated crack segmentation transformer (ACS-Former) framework is proposed to maximize segmentation performance with limited annotation resources. The two-branch ACS-Former includes (1) a feature pyramid transformer (FPT) for multi-scale crack segmentation and (2) boundary difficulty-aware active learning (BDAL) to select informative images for labeling and incorporation into FPT training. Additionally, an adhesive climbing robot is proposed for image collection of hard-to-access components of large bridges. The on-site operational feasibility and practicability of the proposed ACS-Former and climbing robot are demonstrated by field experiments performed on in-service bridges, including the quantification of cracks narrower than 0.2 mm, as required by engineering codes.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105829"},"PeriodicalIF":9.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433452","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

Fast 3D site reconstruction using multichannel dynamic and static object separation 利用多通道动态和静态物体分离快速重建三维场地

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-14 DOI: 10.1016/j.autcon.2024.105807

Shufan Ma , Qi Fang , Heyang Zhou , Yihang Yin , Fangda Ye

{"title":"Fast 3D site reconstruction using multichannel dynamic and static object separation","authors":"Shufan Ma , Qi Fang , Heyang Zhou , Yihang Yin , Fangda Ye","doi":"10.1016/j.autcon.2024.105807","DOIUrl":"10.1016/j.autcon.2024.105807","url":null,"abstract":"<div><div>Three-dimensional (3D) models, characterized by their visualization, accuracy, and interactive information presentation, effectively facilitate collaboration and optimize management throughout the construction process. However, existing 3D reconstruction methods frequently fail to simultaneously satisfy the requirements for onsite applicability and fast performance. To address this challenge, this paper proposes a monocular camera-based 3D reconstruction method designed for onsite applicability and introduces dynamic–static separation to reduce the computational burden for faster processing. This approach enables the preestablishment of 3D models for static and dynamic objects. The positioning, pose, and orientation information of objects can be quickly integrated from multiple channels for fast 3D site reconstruction. Experimental results demonstrate that target objects can be identified across multiple channels and quickly integrated into 3D models. This paper offers both theoretical and practical contributions by enabling 3D reconstruction of construction sites using monocular cameras, which enhances project safety management and supports the implementation of digital twins.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105807"},"PeriodicalIF":9.6,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433449","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

Hybrid pose adjustment (HyPA) robot design for prefabricated module control in modular construction assembly 用于模块化建筑装配中预制模块控制的混合姿态调整 (HyPA) 机器人设计

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-14 DOI: 10.1016/j.autcon.2024.105798

Chen Song , Xiao Li , Qianru Du , Ruiqi Jiang , Qiping Shen

{"title":"Hybrid pose adjustment (HyPA) robot design for prefabricated module control in modular construction assembly","authors":"Chen Song , Xiao Li , Qianru Du , Ruiqi Jiang , Qiping Shen","doi":"10.1016/j.autcon.2024.105798","DOIUrl":"10.1016/j.autcon.2024.105798","url":null,"abstract":"<div><div>The on-site assembly process in modular construction (MC) requires precise placement of bulky modules, which involves dangerous and labor-intensive manual work in the current practice. This study aims to automate the process by designing a hybrid pose adjustment (HyPA) robot to achieve complete pose control of the module. To this end, this paper presents the mechanism design and working principle of the HyPA system, demonstrating that module position control, leveling control, steering control, and sway damping can be achieved. The modeling of the HyPA robot is also presented, including the essential parameters to define the model and the construction of the relevant mathematical expressions. Furthermore, a model-based motion generation scheme is proposed to validate the working principle, which combines feedforward motion planning and feedback error correction. Lastly, functionality verification is conducted through both simulation and hardware tests, showcasing the capability of the HyPA robot to perform desired translation and steering angle change while maintaining horizontal leveling.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105798"},"PeriodicalIF":9.6,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433450","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

Process scheduling for prefabricated construction based on multi-objective optimization algorithm 基于多目标优化算法的预制建筑工艺调度

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-14 DOI: 10.1016/j.autcon.2024.105809

Yan Li , Jiajun Wu , Yi Hao , Yuchen Gao , Runqi Chai , Senchun Chai , Baihai Zhang

{"title":"Process scheduling for prefabricated construction based on multi-objective optimization algorithm","authors":"Yan Li , Jiajun Wu , Yi Hao , Yuchen Gao , Runqi Chai , Senchun Chai , Baihai Zhang","doi":"10.1016/j.autcon.2024.105809","DOIUrl":"10.1016/j.autcon.2024.105809","url":null,"abstract":"<div><div>Prefabricated construction has become an increasingly important focus area in the development of the construction industry. Determining an optimal construction process scheduling program is an urgent challenge during the project execution stage. This paper presents a multi-objective optimization problem with the objective function of minimizing the total construction time and maximizing the coordinated scheduling coefficient, and proposes a non-dominated sorting genetic algorithm based on the subspecies differentiation strategy (SD-NSGA) to solve the problem. The algorithm extends the competition phenomenon at the individual level to the subpopulation level in the traditional genetic algorithm (GA). The results demonstrate that SD-NSGA exhibits superior optimization capabilities. Compared with the initial scheme of a real residential construction project, the total working time is shortened by 35.49% and the integrated dispatch factor is increased by 365.79%. Therefore, the proposed algorithm can offer a valuable reference for determining scheduling plans in practical engineering projects.<span><span><sup>1</sup></span></span></div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105809"},"PeriodicalIF":9.6,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433451","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

Prompt-based automation of building code information transformation for compliance checking 基于提示的自动化建筑规范信息转换，用于合规性检查

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-11 DOI: 10.1016/j.autcon.2024.105817

Fan Yang , Jiansong Zhang

引用次数: 0

Blockchain-integrated zero-knowledge proof system for privacy-preserving near-miss reporting in construction projects 区块链集成零知识证明系统，用于建筑项目中保护隐私的险情报告

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-11 DOI: 10.1016/j.autcon.2024.105825

Eric Joshua Nyato , Emmanuel Kimito , Jaehun Yang , Doyeop Lee , Dongmin Lee

{"title":"Blockchain-integrated zero-knowledge proof system for privacy-preserving near-miss reporting in construction projects","authors":"Eric Joshua Nyato , Emmanuel Kimito , Jaehun Yang , Doyeop Lee , Dongmin Lee","doi":"10.1016/j.autcon.2024.105825","DOIUrl":"10.1016/j.autcon.2024.105825","url":null,"abstract":"<div><div>Effective management of near-miss data is essential for proactive safety practices in construction. Traditional reporting and management methods face challenges such as data loss, susceptibility to manipulation, and poor traceability, which undermine their reliability and collaborative efforts. Blockchain technology can enhance data integrity, security, transparency, and reliability in safety data management. However, conventional Layer-1 blockchain systems require third-party verification processes, compromising participant anonymity—crucial for effective near-miss reporting and incur high transaction fees, presenting several practical concerns. To address these issues, this paper developed and tested a zero-knowledge proof and Layer-2 blockchain integrated system for near-miss reporting. This system was validated through a proof-of-concept and hypothetical case study, achieving perfect unlinkability with a degree of anonymity scored at <em>d</em> = 1 and reducing the cost of report submission to USD 0.0011. These advances significantly contribute toward proactive safety management in construction by facilitating safe reporting environments and cost-effective near-miss management.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105825"},"PeriodicalIF":9.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418442","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

Data-driven generative contextual design model for building morphology in dense metropolitan areas 密集都市区建筑形态的数据驱动生成式情境设计模型

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-11 DOI: 10.1016/j.autcon.2024.105820

Ziyu Peng, Yi Zhang, Weisheng Lu, Xueqing Li

{"title":"Data-driven generative contextual design model for building morphology in dense metropolitan areas","authors":"Ziyu Peng, Yi Zhang, Weisheng Lu, Xueqing Li","doi":"10.1016/j.autcon.2024.105820","DOIUrl":"10.1016/j.autcon.2024.105820","url":null,"abstract":"<div><div>Generative design has been instrumental in expanding designers' ability to create diverse alternatives. However, the current generative building morphology design presents two broad weaknesses. Firstly, it fails to consider the interaction between a design and its backdrop context, particularly in high-density metropolitan areas. Secondly, it fails to harness existing design knowledge embedded in existing designs. This paper aims to develop a data-driven generative design model: VmRF, which can learn from existing designs and generate plausible and contextual building morphologies. The model consists of a variational autoencoder (VAE) to compress high-dimensional building morphology datasets into low-dimensional building morphology datasets and a multivariate random forest (mRF) to identify explainable relationships between design parameters and morphology patterns. Performance evaluation shows the superiority of the VmRF model in terms of training speed and prediction fitness. Consequently, the proposed model promotes enhanced design efficiency, innovation in contextual awareness, and evidence-based decision-making in building morphology design.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105820"},"PeriodicalIF":9.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418472","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

Graph-based intelligent accident hazard ontology using natural language processing for tracking, prediction, and learning 使用自然语言处理的基于图形的智能事故隐患本体，用于跟踪、预测和学习

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-10 DOI: 10.1016/j.autcon.2024.105800

Eunbin Hong , SeungYeon Lee , Hayoung Kim , JeongEun Park , Myoung Bae Seo , June-Seong Yi

引用次数: 0

AI model for analyzing construction litigation precedents to support decision-making 用于分析建筑诉讼先例以支持决策的人工智能模型

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-10 DOI: 10.1016/j.autcon.2024.105824

Wonkyoung Seo , Youngcheol Kang

引用次数: 0

Integrated operation centers for storage and repair of imported precast modules 用于储存和维修进口预制模块的综合运营中心

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-10 DOI: 10.1016/j.autcon.2024.105815

Huiwen Wang , Florence Y.Y. Ling , Wen Yi , Albert P.C. Chan

{"title":"Integrated operation centers for storage and repair of imported precast modules","authors":"Huiwen Wang , Florence Y.Y. Ling , Wen Yi , Albert P.C. Chan","doi":"10.1016/j.autcon.2024.105815","DOIUrl":"10.1016/j.autcon.2024.105815","url":null,"abstract":"<div><div>Modular construction is recognized as a promising solution to the pressing housing demands of densely populated cities. However, temporary storage of modules in urban environments and the risk of damage during transportation present significant supply chain challenges. Some governments have begun investing in integrated operation centers (IOCs) to provide module storage and repair services. However, there lacks an effective planning framework for IOC establishment and operation. This paper formulates a bi-level programming model that comprehensively considers land availability, budget limitation, and government–contractor interactions. A particle swarm optimization based algorithm is developed and validated through a Hong Kong case study. Computational experiments provide governments with valuable managerial implications regarding IOC investment budget, number and locations of IOCs, and services provided by IOCs. Overall, the proposed models, solutions, and recommendations are expected to facilitate the just-in-time cross-border delivery of precast modules in densely populated cities.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105815"},"PeriodicalIF":9.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418471","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