Automation in Construction最新文献_第2页

Mixed Reality-based MEP construction progress monitoring: Evaluation of methods for mesh-to-mesh comparison 基于混合现实的 MEP 施工进度监测：评估网格间比较方法

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-08 DOI: 10.1016/j.autcon.2024.105852

Boan Tao, Frédéric Bosché, Jiajun Li

{"title":"Mixed Reality-based MEP construction progress monitoring: Evaluation of methods for mesh-to-mesh comparison","authors":"Boan Tao, Frédéric Bosché, Jiajun Li","doi":"10.1016/j.autcon.2024.105852","DOIUrl":"10.1016/j.autcon.2024.105852","url":null,"abstract":"<div><div>Visually monitoring progress and geometric quality on site using Mixed Reality (MR) and overlaid Building Information Model (BIM model) is challenging, particularly in complex contexts like complex mechanical, electrical, and plumbing (MEP) systems. This paper proposes and evaluates four individual methods and three combined ones for automated object recognition and deviation evaluation, based on the matching and comparison of the 3D mesh captured on site by MR systems with the mesh geometry of the elements in the (as-designed) BIM model. The four individual methods include: (1) Bounding Box Occupation, (2) Point-to-Surface Distance, (3) Voxel Occupation, (4) Feature Matching. Three combined methods are Method <span><math><mrow><mn>1</mn><mo>∪</mo><mn>4</mn></mrow></math></span>, Method <span><math><mrow><mn>2</mn><mo>∪</mo><mn>4</mn></mrow></math></span> and Method <span><math><mrow><mn>3</mn><mo>∪</mo><mn>4</mn></mrow></math></span> (i.e. combining methods 1 and 4, 2 and 4, and 3 and 4, respectively). The methods are evaluated using both synthetic and real data of MEP construction works, with the Method <span><math><mrow><mn>1</mn><mo>∪</mo><mn>4</mn></mrow></math></span> yielding the best performance.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105852"},"PeriodicalIF":9.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637403","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

RGB-LiDAR sensor fusion for dust de-filtering in autonomous excavation applications RGB-LiDAR 传感器融合用于自主挖掘应用中的粉尘去滤波

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-07 DOI: 10.1016/j.autcon.2024.105850

Tyler Parsons , Fattah Hanafi Sheikhha , Jaho Seo , Hanmin Lee

引用次数: 0

Robust optimization model for traceable procurement of construction materials considering contract claims 考虑合同索赔的建筑材料可追溯采购的稳健优化模型

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-06 DOI: 10.1016/j.autcon.2024.105847

Kaiyue Zhang , Jing Zhou , Yan Ning , Shang Gao

引用次数: 0

Self-supervised monocular depth estimation on construction sites in low-light conditions and dynamic scenes 低光照条件和动态场景下建筑工地的自监督单目深度估计

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-05 DOI: 10.1016/j.autcon.2024.105848

Jie Shen, Ziyi Huang, Lang Jiao

{"title":"Self-supervised monocular depth estimation on construction sites in low-light conditions and dynamic scenes","authors":"Jie Shen, Ziyi Huang, Lang Jiao","doi":"10.1016/j.autcon.2024.105848","DOIUrl":"10.1016/j.autcon.2024.105848","url":null,"abstract":"<div><div>Estimating construction scene depth from a single image is crucial for various downstream tasks. Self-supervised monocular depth estimation methods have recently achieved impressive results and demonstrated state-of-the-art performance. However, the low-light conditions and dynamic scenes on construction sites pose significant challenges to these methods, hindering their practical deployment. Therefore, an architecture called LLD-Depth is presented to address these challenges, including an improved ForkGAN model to generate paired low-light images from clear-day images, a new unifying learning method for accurately estimating monocular depth, motion flow, camera ego-motion, and its intrinsic parameters, as well as a training framework to estimate monocular depth under both low-light and clear-day conditions effectively. Finally, the effectiveness of monocular depth estimation in construction scenes is verified. LLD-Depth brings 16.67% and 20.17% gain in relative mean error for clear-day and low-light scenes and 2.60% and 1.80% gain in average order accuracy, achieving state-of-the-art performance.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105848"},"PeriodicalIF":9.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586350","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

Rutting extraction from vehicle-borne laser point clouds 从车载激光点云中提取车辙

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-05 DOI: 10.1016/j.autcon.2024.105853

Xinjiang Ma , Dongjie Yue , Jintao Li , Ruisheng Wang , Jiayong Yu , Rufei Liu , Maolun Zhou , Yifan Wang

{"title":"Rutting extraction from vehicle-borne laser point clouds","authors":"Xinjiang Ma , Dongjie Yue , Jintao Li , Ruisheng Wang , Jiayong Yu , Rufei Liu , Maolun Zhou , Yifan Wang","doi":"10.1016/j.autcon.2024.105853","DOIUrl":"10.1016/j.autcon.2024.105853","url":null,"abstract":"<div><div>Rutting is a type of structural road damage that seriously affects traffic safety, and rutting conditions are typically analyzed only from a two-dimensional cross-sectional perspective. Rutting detection currently lacks directional features and trends along the traveling direction. To address this issue, this paper develops a rutting extraction methodology from vehicle-borne laser point clouds to reflect the actual rutting conditions. The proposed method locates rutting points from cross-sectional data and further integrates the spatial correlation information of continuous cross sections to accurately extract dangerous rutting regions and longitudinal feature lines. Comprehensive experiments show that the Recall and Precision of rutting extraction are higher than 85 % and 90 % respectively, while also exhibiting higher robustness compared to other methods. These results demonstrate the effectiveness and accuracy of the proposed method for rutting extraction in large-scale road scenes. Future research will focus on deep learning-based road damage monitoring and provide valuable references for traffic management, road maintenance, and safety.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105853"},"PeriodicalIF":9.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586349","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 reinforcement of 3D-printed engineered cementitious composite beams 自动加固 3D 打印工程水泥基复合梁

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-11-02 DOI: 10.1016/j.autcon.2024.105851

Manfang Lin , Lingzhi Li , Fangming Jiang , Yao Ding , Fan Yu , Fangyuan Dong , Kequan Yu

{"title":"Automated reinforcement of 3D-printed engineered cementitious composite beams","authors":"Manfang Lin , Lingzhi Li , Fangming Jiang , Yao Ding , Fan Yu , Fangyuan Dong , Kequan Yu","doi":"10.1016/j.autcon.2024.105851","DOIUrl":"10.1016/j.autcon.2024.105851","url":null,"abstract":"<div><div>The advancement of emerging 3D concrete printing (3DCP) has been hindered by two significant challenges: the weak tensile properties of conventional concrete and the difficulty of simultaneously placing reinforcement during printing. In this paper, engineered cementitious composites (ECC) with superior tensile properties along with an in-process reinforcement technique through laying CFRP meshes between ECC layers were strategically composited. Four-point bending tests were performed on 3DP-ECC beams reinforced with different layers and configurations of CFRP mesh. Experimental results demonstrated that CFRP meshes can deform collaboratively with ECC, and enhance the load bearing capacity of 3DP-ECC beams to 1.22–2.01 times compared to that of unreinforced beam, while moderately decrease the deformation capacity of printed beams. A theoretical model for predicting the load bearing capacity and bending moment-curvature relationship of 3DP-ECC beams was further proposed. This paper validated the feasibility and effectiveness of CFRP mesh in reinforcing 3DP-ECC beams for efficient 3DCP construction.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105851"},"PeriodicalIF":9.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573399","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

Decision support for railway track facility management using OpenBIM 利用 OpenBIM 为铁路轨道设施管理提供决策支持

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-31 DOI: 10.1016/j.autcon.2024.105840

Zeru Liu , Jung In Kim , Wi Sung Yoo

{"title":"Decision support for railway track facility management using OpenBIM","authors":"Zeru Liu , Jung In Kim , Wi Sung Yoo","doi":"10.1016/j.autcon.2024.105840","DOIUrl":"10.1016/j.autcon.2024.105840","url":null,"abstract":"<div><div>Despite rapid advancements in track condition assessment technologies, current railway track facility management (FM) often results in cost-ineffectiveness as well as maintenance- and operation-inefficient outcomes. However, the challenges in current practice and the requirements for enhancing track FM decision-making processes have not been identified in a comprehensive and structured manner by any existing study. To address this gap, case studies and interviews were conducted to identify the challenges, along with the necessary information and functions. Based on these findings, a conceptual decision-support framework for railway track FM, utilizing openBIM, was proposed. This framework addresses data integration, track condition diagnosis, root cause identification considering the interrelationships among multiple components, long-term deterioration prediction, and FM plan optimization. A focus group interview was also conducted, and existing studies were examined to validate the proposed framework, which was found to support informed decision-making for railway track FM, thereby enhancing predictive maintenance.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105840"},"PeriodicalIF":9.6,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561215","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

Continuous compaction control of subgrade bases using intelligent compaction measurement values with dynamic cone penetrometer and light weight deflectometer 利用动态圆锥透度计和轻质变形计的智能压实测量值对路基路面进行连续压实控制

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105835

Sung-Ha Baek , Jin-Young Kim , Jisun Kim , Jin-Woo Cho

{"title":"Continuous compaction control of subgrade bases using intelligent compaction measurement values with dynamic cone penetrometer and light weight deflectometer","authors":"Sung-Ha Baek , Jin-Young Kim , Jisun Kim , Jin-Woo Cho","doi":"10.1016/j.autcon.2024.105835","DOIUrl":"10.1016/j.autcon.2024.105835","url":null,"abstract":"<div><div>To address the challenges associated with continuous compaction control (CCC), this paper investigates a CCC framework that incorporates dynamic cone penetration (DCP) and lightweight deflectometer (LWD). Field tests were conducted on 12 strip-shaped and two rectangular embankments. The compaction meter value (CMV) exhibited a linear correlation with the DCP and LWD test results (DPI and <em>E</em><sub><em>LWD</em></sub>). The optimal region of interest (ROI) sizes for the linear regression analysis between CMV and DPI and <em>E</em><sub><em>LWD</em></sub> were 2.0 m and 3.0 m, respectively. However, in areas where roller-related factors change or when the drum operating behavior is in the double-jump mode, the CMV exhibited significant low values; CCC measurements alone were not sufficient to evaluate the ground stiffness. A framework that incorporates DCP and LWD along with CCC was proposed, and it is believed that the CCC measurements with DCP and LWD more accurately represent the ground stiffness of the rectangular embankment.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105835"},"PeriodicalIF":9.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553200","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 technology for road pavement 路面数字孪生技术

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105826

Mohammad Amin Talaghat , Amir Golroo , Abdelhak Kharbouch , Mehdi Rasti , Rauno Heikkilä , Risto Jurva

引用次数: 0

Fractional-order composite sliding mode control for 4-DOF tower crane systems with given-performance 具有给定性能的 4-DOF 塔式起重机系统的分数阶复合滑模控制

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2024-10-30 DOI: 10.1016/j.autcon.2024.105832

Tengfei Zhang , Yana Yang , Junpeng Li , Xi Luo

{"title":"Fractional-order composite sliding mode control for 4-DOF tower crane systems with given-performance","authors":"Tengfei Zhang , Yana Yang , Junpeng Li , Xi Luo","doi":"10.1016/j.autcon.2024.105832","DOIUrl":"10.1016/j.autcon.2024.105832","url":null,"abstract":"<div><div>Construction tower cranes exhibit significant nonlinear characteristics and high flexibility due to limited control input, posing major challenges for controller design and stability analysis. To achieve anti-sway control while constraining system variables within a safe range, a new given-performance anti-sway control strategy has been successfully developed by combining composite sliding mode control with fractional calculus. Specifically, advanced Mittag-Leffler stability and fractional-order relevant theories are introduced to prove the convergence of the composite sliding surface and all state variables to zero. Time delay information estimates uncertainties, eliminating the requirement of prior knowledge of the upper bound of uncertainty in traditional sliding mode control. The introduced performance function strictly constraints both the actuated and underactuated variables to ensure the given-performance, namely, the actual transient-state and steady-state control performance of the system can be quantitatively predetermined according to practical application requirements. Finally, the superior performance of the method is verified through experiments.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105832"},"PeriodicalIF":9.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553201","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