Automation in Construction最新文献_第8页

Additive manufacturing in the construction industry 建筑行业的增材制造

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-28 DOI: 10.1016/j.autcon.2024.105888

Eric Forcael , Moisés Medina , Alexander Opazo-Vega , Francisco Moreno , Gonzalo Pincheira

{"title":"Additive manufacturing in the construction industry","authors":"Eric Forcael , Moisés Medina , Alexander Opazo-Vega , Francisco Moreno , Gonzalo Pincheira","doi":"10.1016/j.autcon.2024.105888","DOIUrl":"10.1016/j.autcon.2024.105888","url":null,"abstract":"<div><div>New sustainable technologies, such as additive manufacturing (AM), have recently been adopted in the construction industry, significantly reducing construction completion times and effectively repairing and remanufacturing components. While AM's implementation in construction is still diffuse, this review contributes to a better understanding of how this technology is interpreted and utilized, exploring the main trends in AM within the construction industry. The systematic review of recent publications identified eight critical topics for AM, whose processes are characterized by their materials: aggregate-based materials, metals, and polymers. The findings reveal an increase in the published works, with the United States, Germany, and China rising as the prominent contributors, where AM technologies are mainly defined by processes such as Material extrusion, Particle bed, Powder bed fusion, Directed energy deposition and Vat photopolymerization. Finally, other challenges regarding AM in the construction industry, such as its role in large-scale construction and prefabrication, are also discussed.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"169 ","pages":"Article 105888"},"PeriodicalIF":9.6,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746235","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

Meta-interaction: Deployable framework integrating the metaverse and generative AI for participatory building design 元交互：整合元宇宙和生成式人工智能的可部署框架，用于参与式建筑设计

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-27 DOI: 10.1016/j.autcon.2024.105893

Hongda An, Weisheng Lu, Liupengfei Wu, Ziyu Peng, Jinfeng Lou

引用次数: 0

Real-time safety and worker self-assessment: Sensor-based mobile system for critical unsafe behaviors 实时安全和工人自我评估：针对关键不安全行为的传感器移动系统

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-23 DOI: 10.1016/j.autcon.2024.105879

Hanjing Zhu, Bon-Gang Hwang

{"title":"Real-time safety and worker self-assessment: Sensor-based mobile system for critical unsafe behaviors","authors":"Hanjing Zhu, Bon-Gang Hwang","doi":"10.1016/j.autcon.2024.105879","DOIUrl":"10.1016/j.autcon.2024.105879","url":null,"abstract":"<div><div>Human error significantly contributes to construction accidents, exacerbated by the lack of a digital tool for assessing and improving workers' safety performance. This paper addresses this gap by developing: 1) a Real-Time Safety Performance Assessment and Report System; 2) a Safety Behavior Self-Assessment and Improvement System; and 3) a Sensor-Based Safety Performance Analytic Mobile System (SBSPAMS) to detect, assess, and modify workers' unsafe behaviors. Through a comprehensive literature review, this paper developed a real-time safety performance assessment method, a safety behavior self-assessment questionnaire, and tailored recommendations for workers' safety performance improvement. The SBSPAMS was developed by integrating the safety performance assessment and safety behavior self-assessment functions into a Sensor-Based Safety Monitoring Mobile System (SBSMMS), along with a framework for the practical implementation of the SBSPAMS. This paper enriches construction safety knowledge by providing a performance assessment and improvement approach and contributes to the construction industry by developing a tool for worker-oriented safety management.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"169 ","pages":"Article 105879"},"PeriodicalIF":9.6,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698960","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

Optimizing printing and rheological parameters for 3D printing with cementitious materials 优化水泥基材料 3D 打印的打印和流变参数

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-23 DOI: 10.1016/j.autcon.2024.105881

Qingwei Wang , Song Han , Junhao Yang , Ziang Li , Mingzhe An

引用次数: 0

Impact of selective environmental sound attenuation on operator performance, stress, attention, and task engagement in teleoperated demolition 选择性环境声音衰减对遥控爆破中操作员的表现、压力、注意力和任务参与度的影响

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-23 DOI: 10.1016/j.autcon.2024.105876

Patrick Borges Rodrigues , Burcin Becerik-Gerber , Lucio Soibelman , Gale M. Lucas , Shawn C. Roll

{"title":"Impact of selective environmental sound attenuation on operator performance, stress, attention, and task engagement in teleoperated demolition","authors":"Patrick Borges Rodrigues , Burcin Becerik-Gerber , Lucio Soibelman , Gale M. Lucas , Shawn C. Roll","doi":"10.1016/j.autcon.2024.105876","DOIUrl":"10.1016/j.autcon.2024.105876","url":null,"abstract":"<div><div>The noise produced in demolition sites can mask safety-critical sounds that inform operators about task conditions and hazards. These problems are exacerbated in teleoperated demolition, where the separation between operator and site compromises operators' situation awareness and cognitive loads. This paper assessed the effects of environmental sounds with and without attenuation on the operators' performance and response (e.g., stress, attention, task engagement) during teleoperated demolition. Eighty participants completed three virtual demolition tasks under different environmental sound conditions, i.e., no sound (NS), unfiltered sound (US), and filtered sound (FS) with 20-dB attenuation of background noise and robot's sounds to allow focus on safety and task conditions. The results show that US induced more stress than NS and FS. Also, FS resulted in fewer collisions, faster reaction times, and greater attention and task engagement than US. These results can support the design of sound feedback interfaces for teleoperation in construction.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"169 ","pages":"Article 105876"},"PeriodicalIF":9.6,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698959","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

Construction safety inspection with contrastive language-image pre-training (CLIP) image captioning and attention 利用对比语言-图像预培训（CLIP）图像字幕和注意力进行施工安全检查

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-22 DOI: 10.1016/j.autcon.2024.105863

Wei-Lun Tsai , Phuong-Linh Le , Wang-Fat Ho , Nai-Wen Chi , Jacob J. Lin , Shuai Tang , Shang-Hsien Hsieh

{"title":"Construction safety inspection with contrastive language-image pre-training (CLIP) image captioning and attention","authors":"Wei-Lun Tsai , Phuong-Linh Le , Wang-Fat Ho , Nai-Wen Chi , Jacob J. Lin , Shuai Tang , Shang-Hsien Hsieh","doi":"10.1016/j.autcon.2024.105863","DOIUrl":"10.1016/j.autcon.2024.105863","url":null,"abstract":"<div><div>Traditional safety inspections require significant human effort and time to capture site photos and textual descriptions. While standardized forms and image captioning techniques have been explored to improve inspection efficiency, compiling reports with both visual and text data remains challenging due to the multiplicity of safety-related knowledge. To assist inspectors in evaluating violations more efficiently, this paper presents an image-language model, utilizing Contrastive Language-Image Pre-training (CLIP) fine-tuning and prefix captioning to automatically generate safety observations. A user-friendly mobile phone application has been created to streamline safety report documentation for site engineers. The language model successfully classifies nine violation types with an average accuracy of 73.7%, outperforming the baseline model by 41.8%. Experiment participants confirmed that the mobile application is helpful for safety inspections. This automated framework simplifies safety documentation by identifying violation scenes through images, improves overall safety performance, and supports the digital transformation of construction sites.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"169 ","pages":"Article 105863"},"PeriodicalIF":9.6,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684172","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

Signs on glasses: LiDAR data voids, hotspot effect, and reflection artifacts 眼镜上的标志激光雷达数据空洞、热点效应和反射伪影

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-22 DOI: 10.1016/j.autcon.2024.105877

Tung Sum Fong , Wai Yeung Yan

引用次数: 0

Intelligent dynamic control of shield parameters using a hybrid algorithm and digital twin platform 利用混合算法和数字孪生平台对盾构参数进行智能动态控制

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-22 DOI: 10.1016/j.autcon.2024.105882

Yuan Cao , Shifan Li , Geoffrey Qiping Shen , Hongyu Chen , Yang Liu

引用次数: 0

Automated daily report generation from construction videos using ChatGPT and computer vision 利用 ChatGPT 和计算机视觉从施工视频中自动生成日报表

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-21 DOI: 10.1016/j.autcon.2024.105874

Bo Xiao , Yifan Wang , Yongpan Zhang , Chen Chen , Amos Darko

{"title":"Automated daily report generation from construction videos using ChatGPT and computer vision","authors":"Bo Xiao , Yifan Wang , Yongpan Zhang , Chen Chen , Amos Darko","doi":"10.1016/j.autcon.2024.105874","DOIUrl":"10.1016/j.autcon.2024.105874","url":null,"abstract":"<div><div>Daily reports are important in construction management, informing project teams about status, enabling timely resolutions of delays and budget issues, and serving as official records for disputes and litigation. However, current practices are manual and time-consuming, requiring engineers to physically visit sites for observations. To fill this gap, this paper proposes an automated framework to generate daily construction reports from on-site videos by integrating ChatGPT and computer vision (CV)-based methods. The framework utilizes CV methods to analyze video footage and extract relevant productivity and activity information, which is then fed into ChatGPT using proper prompts to generate daily reports. A web application is developed to implement and validate the framework on a real construction site in Hong Kong, generating daily reports over a month. This research enhances construction management by significantly reducing documentation efforts through generative artificial intelligence, with potential applications in jobsite safety management, quality reporting, and stakeholder communication.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105874"},"PeriodicalIF":9.6,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684180","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 physics-based modeling of construction equipment through data fusion 通过数据融合实现基于物理的建筑设备自动建模

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-21 DOI: 10.1016/j.autcon.2024.105880

Liqun Xu , Dharmaraj Veeramani , Zhenhua Zhu

引用次数: 0