Automation in Construction最新文献

Design and construction automation of reconfigurable timber slabs 可重组木板的设计和施工自动化

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-16 DOI: 10.1016/j.autcon.2024.105872

Anja Kunic, Davide Angeletti, Giuseppe Marrone, Roberto Naboni

引用次数: 0

Knowledge graph for safety management standards of water conservancy construction engineering 水利建设工程安全管理标准知识图谱

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-16 DOI: 10.1016/j.autcon.2024.105873

Yun Chen , Gengyang Lu , Ke Wang , Shu Chen , Chenfei Duan

{"title":"Knowledge graph for safety management standards of water conservancy construction engineering","authors":"Yun Chen , Gengyang Lu , Ke Wang , Shu Chen , Chenfei Duan","doi":"10.1016/j.autcon.2024.105873","DOIUrl":"10.1016/j.autcon.2024.105873","url":null,"abstract":"<div><div>With the increasing demand for water conservancy engineering (WCE), the number of safety accidents during construction has continued to rise, requiring an urgent improvement in construction safety. The existing safety management regulations for water conservancy construction engineering (WCCE) comprise a considerable amount of text, with cross-references between different standards severely reducing their use efficiency. To address this issue, this paper proposes an ALBERT-BiLSTM-CRF model based on textual data from WCCE safety management standards. ALBERT, a lightweight pretrained language model, is integrated with the BiLSTM-CRF to construct an intelligent text entity recognition method. Association rules are used to extract entity relationships, and a knowledge graph representing the WCCE safety management standards is established. The results show that the ALBERT-BiLSTM-CRF algorithm improves the precision, with a recognition accuracy exceeding 85 %. Case studies validate that the constructed knowledge graph can quickly query safety standard knowledge, aiding in the generation of safety measures.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105873"},"PeriodicalIF":9.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652729","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

BIM-blockchain integrated automatic asset tracking and delay propagation analysis for prefabricated construction projects 预制建筑项目的 BIM-区块链集成自动资产跟踪和延迟传播分析

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-15 DOI: 10.1016/j.autcon.2024.105854

Yaxian Dong , Yuqing Hu , Shuai Li , Jiannan Cai , Zhu Han

{"title":"BIM-blockchain integrated automatic asset tracking and delay propagation analysis for prefabricated construction projects","authors":"Yaxian Dong , Yuqing Hu , Shuai Li , Jiannan Cai , Zhu Han","doi":"10.1016/j.autcon.2024.105854","DOIUrl":"10.1016/j.autcon.2024.105854","url":null,"abstract":"<div><div>Asset tracking is crucial for managing prefabricated construction projects, as delayed deliveries might disrupt interdependent offsite and onsite activities, causing economic losses and disputes. To clarify liabilities, tamperproof asset tracking and delay propagation analysis are necessary. To achieve this, a BIM-blockchain integrated framework via smart contracts is proposed given rich information in BIM and blockchain's immutable records. First, asset information and interdependent activity schedule are automatically transmitted from BIM to blockchain. Then, QR codes are generated and attached to physical assets for tracking. If any delays, compiled smart contracts will automatically derive propagated impacts on offsite and onsite activities considering their interdependencies and proactively notify relevant parties. Affected activities with assets, certification time, and responsible parties are automatically visualized in 4D BIM for timely collaboration. The developed IFC-Ethereum prototype demonstrates the framework's feasibility and effectiveness, reducing coordination overhead costs and time. Traceable records help further calculate parties' penalties and compensation.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105854"},"PeriodicalIF":9.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652808","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

Smart embedded technologies and materials for enhanced pavement management 用于加强路面管理的智能嵌入式技术和材料

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-13 DOI: 10.1016/j.autcon.2024.105865

Atena Karbalaei Mohammad Hossein, Amir Golroo, Medya Akhoundzadeh

{"title":"Smart embedded technologies and materials for enhanced pavement management","authors":"Atena Karbalaei Mohammad Hossein, Amir Golroo, Medya Akhoundzadeh","doi":"10.1016/j.autcon.2024.105865","DOIUrl":"10.1016/j.autcon.2024.105865","url":null,"abstract":"<div><div>The integration of smart technologies is set to revolutionize pavement data collection and analysis, leading to more efficient decision-making in Pavement Management Systems (PMS). Smart pavements, featuring embedded sensors, offer continuous streams of high-quality real-time data, enhancing the PMS data analysis process. This paper provides a detailed examination of these embedded smart systems, discussing their technologies, applications, and potential impacts on pavement management. The study highlights the role of smart materials in pavement engineering, offering self-sensing, self-healing, and energy-harvesting capabilities. It investigates sensor technologies for monitoring pavement conditions, focusing on both on-surface and below-surface sensors for comprehensive data collection. Future research directions emphasize advanced data management systems, sensor durability enhancement, economic modeling, standardization efforts, energy-efficient technologies, and pilot programs for real-world testing. This research provides insights into smart pavement advancements and challenges, paving the way for improved road infrastructure efficiency and sustainability.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105865"},"PeriodicalIF":9.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637388","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

Terrain-adaptive motion planner for articulated construction vehicles in unstructured environments 非结构化环境中铰接式工程车辆的地形自适应运动规划器

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-13 DOI: 10.1016/j.autcon.2024.105864

Tengchao Huang , Xuanwei Chen , Huosheng Hu , Shuang Song , Guifang Shao , Qingyuan Zhu

{"title":"Terrain-adaptive motion planner for articulated construction vehicles in unstructured environments","authors":"Tengchao Huang , Xuanwei Chen , Huosheng Hu , Shuang Song , Guifang Shao , Qingyuan Zhu","doi":"10.1016/j.autcon.2024.105864","DOIUrl":"10.1016/j.autcon.2024.105864","url":null,"abstract":"<div><div>In this paper, a terrain-adaptive motion planner is developed specifically for articulated construction vehicles (ACVs) to address instability issues caused by elevation changes on unstructured construction sites—challenges that traditional 2D motion planners struggle to manage effectively. The proposed planner adopts a modular framework, incorporating a terrain elevation model, an articulated vehicle kinematic model, and a posture response model. These models collaboratively capture the dynamic interactions between the vehicle and the terrain. The planner utilizes a multi-objective evaluation function to enhance the vehicle's 3D motion stability, especially in challenging terrains. By considering real-time vehicle-terrain interactions, this function estimates and optimizes the vehicle's stability. The planner's effectiveness is validated through field tests with a scaled-down ACV prototype, demonstrating significant improvements in stability and confirming its potential for practical application on unstructured terrains.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105864"},"PeriodicalIF":9.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637450","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

Automatic registration of large-scale building point clouds with high outlier rates 自动登记离群率高的大规模建筑点云

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-13 DOI: 10.1016/j.autcon.2024.105870

Raobo Li , Shu Gan , Xiping Yuan , Rui Bi , Weidong Luo , Cheng Chen , Zhifu Zhu

{"title":"Automatic registration of large-scale building point clouds with high outlier rates","authors":"Raobo Li , Shu Gan , Xiping Yuan , Rui Bi , Weidong Luo , Cheng Chen , Zhifu Zhu","doi":"10.1016/j.autcon.2024.105870","DOIUrl":"10.1016/j.autcon.2024.105870","url":null,"abstract":"<div><div>Point cloud registration plays a crucial role in processing large-scale building point cloud data. However, existing registration algorithms face challenges in effectively handling outliers in descriptor-based correspondence. This paper presents an automatic registration method for large-scale building point clouds that is capable of achieving swift and accurate registration without the need for initial guessing. The method employs a two-step matching optimization approach: coarse (two-point)-to-fine (three-point), selecting matches based on two-point reliability and three-point consistency. Spatial transformation parameters are broken down into rotations and translations. A progressively optimized kernel function is proposed for estimating rotation, while a clustering confidence algorithm computes translation. Comprehensive experiments were conducted using real-world data. The results indicate that the approach swiftly and accurately estimates optimal outcomes when processing large-scale building point clouds with outlier rates up to 99%. Compared to six existing registration methods, the proposed approach reduces rotation error by 6.15% and translation error by 12.83%, while improving efficiency by 2.57%.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105870"},"PeriodicalIF":9.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637386","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

Procedural modeling of historic buildings' timber frames for HBIM based on carpenters' architectural rules 基于木匠建筑规则的 HBIM 历史建筑木结构程序建模

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-12 DOI: 10.1016/j.autcon.2024.105862

Feng Xu, Yexin Zou, Yangwenzhao Li

引用次数: 0

Exploratory study on time-delayed excavator teleoperation in virtual lunar construction simulation: Task performance and operator behavior 虚拟月球施工模拟中的延时挖掘机远程操作探索性研究：任务性能和操作员行为

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-12 DOI: 10.1016/j.autcon.2024.105871

Miran Seo , Samraat Gupta , Youngjib Ham

{"title":"Exploratory study on time-delayed excavator teleoperation in virtual lunar construction simulation: Task performance and operator behavior","authors":"Miran Seo , Samraat Gupta , Youngjib Ham","doi":"10.1016/j.autcon.2024.105871","DOIUrl":"10.1016/j.autcon.2024.105871","url":null,"abstract":"<div><div>Building sustainable habitats on the moon has been planned for decades. However, applying fully automated construction systems is still challenging in altered environments. Teleoperation, which is the remote control of the machine, can serve as an intermediate phase before achieving fully autonomous systems. Since the teleoperation between operators on the earth-ground and robots on the lunar surface introduces inevitable communication time delays under a deep space network system, it is important to understand its impact on task performance and operator behaviors in teleoperated construction tasks. This paper develops a simulated lunar environment for excavator teleoperation systems in virtual reality to examine task performance and operator behaviors in time delay conditions. The outcomes indicate that time delays significantly degrade task performance, and the operators modify their control strategies to cope with the time delay conditions. The findings will contribute to understanding human behaviors in time-delayed teleoperation of lunar construction tasks.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105871"},"PeriodicalIF":9.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637448","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

Performance comparison of retrieval-augmented generation and fine-tuned large language models for construction safety management knowledge retrieval 检索增强生成和微调大语言模型在建筑安全管理知识检索中的性能比较

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-12 DOI: 10.1016/j.autcon.2024.105846

Jungwon Lee , Seungjun Ahn , Daeho Kim , Dongkyun Kim

{"title":"Performance comparison of retrieval-augmented generation and fine-tuned large language models for construction safety management knowledge retrieval","authors":"Jungwon Lee , Seungjun Ahn , Daeho Kim , Dongkyun Kim","doi":"10.1016/j.autcon.2024.105846","DOIUrl":"10.1016/j.autcon.2024.105846","url":null,"abstract":"<div><div>Construction safety standards are in unstructured formats like text and images, complicating their effective use in daily tasks. This paper compares the performance of Retrieval-Augmented Generation (RAG) and fine-tuned Large Language Model (LLM) for the construction safety knowledge retrieval. The RAG model was created by integrating GPT-4 with a knowledge graph derived from construction safety guidelines, while the fine-tuned LLM was fine-tuned using a question-answering dataset derived from the same guidelines. These models' performance is tested through case studies, using accident synopses as a query to generate preventive measurements. The responses were assessed using metrics, including cosine similarity, Euclidean distance, BLEU, and ROUGE scores. It was found that both models outperformed GPT-4, with the RAG model improving by 21.5 % and the fine-tuned LLM by 26 %. The findings highlight the relative strengths and weaknesses of the RAG and fine-tuned LLM approaches in terms of applicability and reliability for safety management.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105846"},"PeriodicalIF":9.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637389","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 and managing risk interactions and systemic risks in infrastructure projects using machine learning 利用机器学习预测和管理基础设施项目中的风险互动和系统性风险

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-10 DOI: 10.1016/j.autcon.2024.105836

Ahmed Moussa , Mohamed Ezzeldin , Wael El-Dakhakhni

引用次数: 0