Automation in Construction最新文献_第6页

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

Deep learning-based YOLO for crack segmentation and measurement in metro tunnels 基于深度学习的 YOLO，用于地铁隧道裂缝分割和测量

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-09 DOI: 10.1016/j.autcon.2024.105818

Kun Yang , Yan Bao , Jiulin Li , Tingli Fan , Chao Tang

引用次数: 0

Curtain wall frame segmentation using a dual-flow aggregation network: Application to robot pose estimation 使用双流聚合网络进行幕墙框架分割：机器人姿态估计应用

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-09 DOI: 10.1016/j.autcon.2024.105816

Decheng Wu , Xiaoyu Xu , Rui Li , Xuzhao Peng , Xinglong Gong , Chul-Hee Lee , Penggang Pan , Shiyong Jiang

{"title":"Curtain wall frame segmentation using a dual-flow aggregation network: Application to robot pose estimation","authors":"Decheng Wu , Xiaoyu Xu , Rui Li , Xuzhao Peng , Xinglong Gong , Chul-Hee Lee , Penggang Pan , Shiyong Jiang","doi":"10.1016/j.autcon.2024.105816","DOIUrl":"10.1016/j.autcon.2024.105816","url":null,"abstract":"<div><div>In the field of curtain wall construction, manual installation presents significant safety hazards and suffers from low efficiency, while automated installation is constrained by the limited localization capabilities of curtain wall installation robots. In this paper, an automated installation solution based on machine vision is proposed, and a detailed discussion of several steps involved is provided. To locate the installation area, DANF, a deep learning-based dual-flow aggregation network designed for curtain wall frame segmentation, is proposed. It employs Transformer for global analysis and CNNs for detailed feature extraction to handle curtain wall frame structures. On the dataset constructed in this paper, DANF achieves an IoU of 85.19 % with a parameter count of only 4.24 M, demonstrating higher accuracy compared to other algorithms. Additionally, a pose-solving method based on the semantic segmentation results of the curtain wall frame is designed to adapt to curtain wall installation scenarios.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105816"},"PeriodicalIF":9.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418469","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

Predicting maintenance cost overruns in public school buildings using a rough topological approach 用粗略拓扑方法预测公立学校建筑的维护成本超支情况

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-08 DOI: 10.1016/j.autcon.2024.105810

Gökhan Kazar , Uğur Yiğit , Kenan Evren Boyabatlı

引用次数: 0