Pub Date : 2023-12-22DOI: 10.36680/j.itcon.2023.041
Yu-Chen Lee, Jong Won Ma, Fernanda Leite
Building Information Modeling (BIM) has been developed in response to the growing complexity of construction projects. BIM implementation is beneficial throughout the entire building life cycle, and thus has been widely adopted in new projects. However, BIM implementation in existing buildings is impeded by the lack of as-built models. Conventionally, three-dimensional (3D) as-built BIMs are generated by experienced modelers, which is time-consuming and error-prone. To cater to the need, Scan-to-BIM is a solution for automation in as-built BIM generation. In the context of automated Scan-to-BIM, the parametric modeling process is worth investigating as it has the ability to not only reconstruct 3D objects from a variety of categories from point clouds but also offer flexibility to update objects simply by changing the values of the correlative parameters. Hence, this study proposes a semi-automated framework for assisting 3D as-built modeling through a parametric modeling approach. The presented methodology starts with wall boundary parameter extraction through 3D to 2D projection of the wall segments and line detection techniques, followed by retrieving geometric parameters of all other non-wall elements via CloudCompare. The extracted parameters are structured into a Microsoft® Excel® file and fed into Autodesk® Dynamo for 3D BIM creation using a series of designed logic. To substantiate the viability, the proposed framework is employed in two datasets containing structural, architectural, furniture, mechanical, and plumbing objects (further categorized into structural, hosted and non-hosted elements). The Intersection over Union (IoU) of structural elements was 96.35%, while the root-mean-square error (RMSE) of hosted and non-hosted elements was 3.634 and 2.607 mm, respectively. This study established a universal methodology for semi-automated 3D as-built modeling that can guide future research.
{"title":"A parametric approach towards semi-automated 3D as-built modeling","authors":"Yu-Chen Lee, Jong Won Ma, Fernanda Leite","doi":"10.36680/j.itcon.2023.041","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.041","url":null,"abstract":"Building Information Modeling (BIM) has been developed in response to the growing complexity of construction projects. BIM implementation is beneficial throughout the entire building life cycle, and thus has been widely adopted in new projects. However, BIM implementation in existing buildings is impeded by the lack of as-built models. Conventionally, three-dimensional (3D) as-built BIMs are generated by experienced modelers, which is time-consuming and error-prone. To cater to the need, Scan-to-BIM is a solution for automation in as-built BIM generation. In the context of automated Scan-to-BIM, the parametric modeling process is worth investigating as it has the ability to not only reconstruct 3D objects from a variety of categories from point clouds but also offer flexibility to update objects simply by changing the values of the correlative parameters. Hence, this study proposes a semi-automated framework for assisting 3D as-built modeling through a parametric modeling approach. The presented methodology starts with wall boundary parameter extraction through 3D to 2D projection of the wall segments and line detection techniques, followed by retrieving geometric parameters of all other non-wall elements via CloudCompare. The extracted parameters are structured into a Microsoft® Excel® file and fed into Autodesk® Dynamo for 3D BIM creation using a series of designed logic. To substantiate the viability, the proposed framework is employed in two datasets containing structural, architectural, furniture, mechanical, and plumbing objects (further categorized into structural, hosted and non-hosted elements). The Intersection over Union (IoU) of structural elements was 96.35%, while the root-mean-square error (RMSE) of hosted and non-hosted elements was 3.634 and 2.607 mm, respectively. This study established a universal methodology for semi-automated 3D as-built modeling that can guide future research.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"1 12","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138944227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-10DOI: 10.36680/j.itcon.2023.040
Dominik Merkle, Johannes Solass, Annette Schmitt, Julia Rosin, Alexander Reiterer, Alexander Stolz
Bridge inspection is a time-consuming, expensive, but indispensable task. In this work, a new semi-automatic workflow for a concrete bridge condition assessment system is developed and discussed. The workflow consists of three main parts merged in the new methodology. The elements are the data acquisition with cameras, the automated damage detection and localization using a neural network, and the resulting engineering condition assessment. Furthermore, a CAD model serves as a base for the later calculations for the condition assessment. Camera images are used for both sub-millimeter crack detection using semantic segmentation by an artificial neural network and a crack localization based on a combination of a photogrammetric workflow including structure from motion (SfM) and the projection as imprinted points directly onto the as-planned CAD mesh. Moreover, an approach for crack width derivation is given. The captured crack width, crack position, and the date of detection represent the input values for subsequent crack monitoring. Thereby, this new concept is proposed as an essential step towards a time-efficient and objective life-cycle assessment of reinforced concrete structures.
{"title":"Semi-automatic 3D crack map generation and width evaluation for structural monitoring of reinforced concrete structures","authors":"Dominik Merkle, Johannes Solass, Annette Schmitt, Julia Rosin, Alexander Reiterer, Alexander Stolz","doi":"10.36680/j.itcon.2023.040","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.040","url":null,"abstract":"Bridge inspection is a time-consuming, expensive, but indispensable task. In this work, a new semi-automatic workflow for a concrete bridge condition assessment system is developed and discussed. The workflow consists of three main parts merged in the new methodology. The elements are the data acquisition with cameras, the automated damage detection and localization using a neural network, and the resulting engineering condition assessment. Furthermore, a CAD model serves as a base for the later calculations for the condition assessment. Camera images are used for both sub-millimeter crack detection using semantic segmentation by an artificial neural network and a crack localization based on a combination of a photogrammetric workflow including structure from motion (SfM) and the projection as imprinted points directly onto the as-planned CAD mesh. Moreover, an approach for crack width derivation is given. The captured crack width, crack position, and the date of detection represent the input values for subsequent crack monitoring. Thereby, this new concept is proposed as an essential step towards a time-efficient and objective life-cycle assessment of reinforced concrete structures.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"4 4","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138584994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.36680/j.itcon.2023.39
Alexander Vestin, Kristina Säfsten, Djordje Popovic
The housing industry faces challenges in product data management, resulting in negative effects on productivity, efficiency, and quality. The purpose of the study presented in this paper is to elaborate on requirements and functions of a support system to mitigate challenges with product data management in the wooden single-family house industry. As a support system, a pilot product lifecycle management (PLM) system was developed with functions to fulfill the requirements. The support system was installed and tested in a real-world setting, a wooden single-family house company, Company T. The paper contributes with the insights that a PLM system for industrialized house building can be developed, fulfilling the requirements in this specific industry. The functions developed were perceived to have value and could, for Company T, mitigate their challenges with product data management. The support system facilitate integration between the pilot PLM system, the building information modeling tool and the enterprise resource planning system at Company T. Based on the study carried out, the paper concludes that a PLM system is feasible, and that it might be a way to mitigate challenges with product data management in the wooden single-family house industry.
{"title":"Mitigating product data management challenges in the wooden single-family house industry","authors":"Alexander Vestin, Kristina Säfsten, Djordje Popovic","doi":"10.36680/j.itcon.2023.39","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.39","url":null,"abstract":"The housing industry faces challenges in product data management, resulting in negative effects on productivity, efficiency, and quality. The purpose of the study presented in this paper is to elaborate on requirements and functions of a support system to mitigate challenges with product data management in the wooden single-family house industry. As a support system, a pilot product lifecycle management (PLM) system was developed with functions to fulfill the requirements. The support system was installed and tested in a real-world setting, a wooden single-family house company, Company T. The paper contributes with the insights that a PLM system for industrialized house building can be developed, fulfilling the requirements in this specific industry. The functions developed were perceived to have value and could, for Company T, mitigate their challenges with product data management. The support system facilitate integration between the pilot PLM system, the building information modeling tool and the enterprise resource planning system at Company T. Based on the study carried out, the paper concludes that a PLM system is feasible, and that it might be a way to mitigate challenges with product data management in the wooden single-family house industry.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"68 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135476708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to poor visibility and fatigue factors, although nighttime construction has been widely used, its safety problems like struck-by accidents have also become increasingly prominent. Most of the current tracking methods of workers are not suitable for direct application in nighttime construction scenarios, so this research proposes a vision-based method, which integrates low-light image enhancement technology, YOLOv5 and Deepsort to track nighttime workers. The proposed method is mainly composed of four modules, including illumination enhancement module, detection module, the Kalman filter and matching module. In the experiment based on nine test videos, the method achieved the average multiple-object tracking accuracy (MOTA) of 89.93% and multiple-object tracking precision (MOTP) of 97.07%. At the same time, the experimental results also show that the method is robust to the common tracking challenges of occlusions, scale variations and posture variations. The proposed method has practical application potential in the monitoring task in nighttime construction, which makes the nighttime construction activities safer and more efficient.
{"title":"Vision-based tracking method of nighttime construction workers by integrating YOLOv5 and Deepsort","authors":"Guofeng Ma, Yiqin Jing, Zihao Huang, Jing Xu, Houzhuang Zhu","doi":"10.36680/j.itcon.2023.038","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.038","url":null,"abstract":"Due to poor visibility and fatigue factors, although nighttime construction has been widely used, its safety problems like struck-by accidents have also become increasingly prominent. Most of the current tracking methods of workers are not suitable for direct application in nighttime construction scenarios, so this research proposes a vision-based method, which integrates low-light image enhancement technology, YOLOv5 and Deepsort to track nighttime workers. The proposed method is mainly composed of four modules, including illumination enhancement module, detection module, the Kalman filter and matching module. In the experiment based on nine test videos, the method achieved the average multiple-object tracking accuracy (MOTA) of 89.93% and multiple-object tracking precision (MOTP) of 97.07%. At the same time, the experimental results also show that the method is robust to the common tracking challenges of occlusions, scale variations and posture variations. The proposed method has practical application potential in the monitoring task in nighttime construction, which makes the nighttime construction activities safer and more efficient.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"19 S27","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135540977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.36680/j.itcon.2023.36
Alireza Shojaei, Reachsak Ly, Saeed Rokooei, Amirsamman Mahdavian, Ahmed Al-Bayati
Construction site visits and hands-on experiences are among the important instruments for educators in construction engineering and management to provide students with valuable knowledge and more engaging learning experiences. However, in addition to its existing logistical challenges, the COVID-19 pandemic has made site visits even more inaccessible as in-person classes and site visits moved to distant learning or got canceled. In a distance education system, conducting a physical site visit is not an easy task. This study focuses on the use of virtual site visits in construction and experiencing virtual hands-on training using immersive videos. Three types of video formats were used as the main content delivery methods in this pilot study namely, 2D flat, 360-degree, and 180-degree 3D videos. This method was adopted and tested in two courses that were previously face-to-face, which were then shifted to an online format due to the COVID-19 pandemic. The use of immersive videos gave students who would not have the ability to experience a physical site visit, the opportunity to experience the construction site environment and receive educational direction during a pre-recorded, hands-on, immersive video project. The goal of this study is to understand students’ experience with the provided technology, necessary improvement, implications for future research, and the potential implementations of this technology. A costume set of questionnaires was designed to retrieve students’ feedback on their experience which includes a comparison of different content delivery methods and four other study measures: knowledge retention, sense of presence, user experience, and overall satisfaction. Multiple statistical analyses were conducted on the collected data to provide both descriptive details and further insight into the study parameters and their relationship with each other and between different parameters.
{"title":"Virtual site visits in Construction Management education: A practical alternative to physical site visits","authors":"Alireza Shojaei, Reachsak Ly, Saeed Rokooei, Amirsamman Mahdavian, Ahmed Al-Bayati","doi":"10.36680/j.itcon.2023.36","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.36","url":null,"abstract":"Construction site visits and hands-on experiences are among the important instruments for educators in construction engineering and management to provide students with valuable knowledge and more engaging learning experiences. However, in addition to its existing logistical challenges, the COVID-19 pandemic has made site visits even more inaccessible as in-person classes and site visits moved to distant learning or got canceled. In a distance education system, conducting a physical site visit is not an easy task. This study focuses on the use of virtual site visits in construction and experiencing virtual hands-on training using immersive videos. Three types of video formats were used as the main content delivery methods in this pilot study namely, 2D flat, 360-degree, and 180-degree 3D videos. This method was adopted and tested in two courses that were previously face-to-face, which were then shifted to an online format due to the COVID-19 pandemic. The use of immersive videos gave students who would not have the ability to experience a physical site visit, the opportunity to experience the construction site environment and receive educational direction during a pre-recorded, hands-on, immersive video project. The goal of this study is to understand students’ experience with the provided technology, necessary improvement, implications for future research, and the potential implementations of this technology. A costume set of questionnaires was designed to retrieve students’ feedback on their experience which includes a comparison of different content delivery methods and four other study measures: knowledge retention, sense of presence, user experience, and overall satisfaction. Multiple statistical analyses were conducted on the collected data to provide both descriptive details and further insight into the study parameters and their relationship with each other and between different parameters.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"32 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135476042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.36680/j.itcon.2023.037
Oluwatoyin Lawal, Nawari O. Nawari
For over a decade, digital modelling has transcended geometric representations to more advanced object-based modelling using real-life attirbutes. Digital technologies, especially Building Information Modelling (BIM) have been widely adopted in the Architecture, Engineering, Construction, and Operations (AECO) industry, while a newer niche - City Information Modelling (CIM) has emerged as an extension of BIM for urban informatics. This research proposes a framework that integrates heterogeneous CIM using a multi-level, nested data environment. The CIM is developed through a network of BIM models synchronized into a Geographic Information Systems (GIS) interface. The individual BIM models are blockchain-enabled by connecting them to a distributed ledger and shared across a network of project collaborators using a Common Data Environment (CDE) in a Building Level Framework.. The resulting CIM from the network of BIM models is shared between the asset owners in a City Level Framework. Use case scenarios are presented to illustrate the application of the research in real life, and research limitations are discussed. The study aims to improve management of buildings and urban assets, providing a more efficient and secure platform for collaboration and data sharing through a blockchain-CIM integration, providing opportunities for further research in digital modelling and smart technologies.
{"title":"Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency","authors":"Oluwatoyin Lawal, Nawari O. Nawari","doi":"10.36680/j.itcon.2023.037","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.037","url":null,"abstract":"For over a decade, digital modelling has transcended geometric representations to more advanced object-based modelling using real-life attirbutes. Digital technologies, especially Building Information Modelling (BIM) have been widely adopted in the Architecture, Engineering, Construction, and Operations (AECO) industry, while a newer niche - City Information Modelling (CIM) has emerged as an extension of BIM for urban informatics. This research proposes a framework that integrates heterogeneous CIM using a multi-level, nested data environment. The CIM is developed through a network of BIM models synchronized into a Geographic Information Systems (GIS) interface. The individual BIM models are blockchain-enabled by connecting them to a distributed ledger and shared across a network of project collaborators using a Common Data Environment (CDE) in a Building Level Framework.. The resulting CIM from the network of BIM models is shared between the asset owners in a City Level Framework. Use case scenarios are presented to illustrate the application of the research in real life, and research limitations are discussed. The study aims to improve management of buildings and urban assets, providing a more efficient and secure platform for collaboration and data sharing through a blockchain-CIM integration, providing opportunities for further research in digital modelling and smart technologies.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"96 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135540090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.36680/j.itcon.2023.37
Oluwatoyin Lawal, Nawari O. Nawari
For over a decade, digital modelling has transcended geometric representations to more advanced object-based modelling using real-life attirbutes. Digital technologies, especially Building Information Modelling (BIM) have been widely adopted in the Architecture, Engineering, Construction, and Operations (AECO) industry, while a newer niche - City Information Modelling (CIM) has emerged as an extension of BIM for urban informatics. This research proposes a framework that integrates heterogeneous CIM using a multi-level, nested data environment. The CIM is developed through a network of BIM models synchronized into a Geographic Information Systems (GIS) interface. The individual BIM models are blockchain-enabled by connecting them to a distributed ledger and shared across a network of project collaborators using a Common Data Environment (CDE) in a Building Level Framework.. The resulting CIM from the network of BIM models is shared between the asset owners in a City Level Framework. Use case scenarios are presented to illustrate the application of the research in real life, and research limitations are discussed. The study aims to improve management of buildings and urban assets, providing a more efficient and secure platform for collaboration and data sharing through a blockchain-CIM integration, providing opportunities for further research in digital modelling and smart technologies.
{"title":"Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency","authors":"Oluwatoyin Lawal, Nawari O. Nawari","doi":"10.36680/j.itcon.2023.37","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.37","url":null,"abstract":"For over a decade, digital modelling has transcended geometric representations to more advanced object-based modelling using real-life attirbutes. Digital technologies, especially Building Information Modelling (BIM) have been widely adopted in the Architecture, Engineering, Construction, and Operations (AECO) industry, while a newer niche - City Information Modelling (CIM) has emerged as an extension of BIM for urban informatics. This research proposes a framework that integrates heterogeneous CIM using a multi-level, nested data environment. The CIM is developed through a network of BIM models synchronized into a Geographic Information Systems (GIS) interface. The individual BIM models are blockchain-enabled by connecting them to a distributed ledger and shared across a network of project collaborators using a Common Data Environment (CDE) in a Building Level Framework.. The resulting CIM from the network of BIM models is shared between the asset owners in a City Level Framework. Use case scenarios are presented to illustrate the application of the research in real life, and research limitations are discussed. The study aims to improve management of buildings and urban assets, providing a more efficient and secure platform for collaboration and data sharing through a blockchain-CIM integration, providing opportunities for further research in digital modelling and smart technologies.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"38 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135476716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.36680/j.itcon.2023.039
Alexander Vestin, Kristina Säfsten, Djordje Popovic
The housing industry faces challenges in product data management, resulting in negative effects on productivity, efficiency, and quality. The purpose of the study presented in this paper is to elaborate on requirements and functions of a support system to mitigate challenges with product data management in the wooden single-family house industry. As a support system, a pilot product lifecycle management (PLM) system was developed with functions to fulfill the requirements. The support system was installed and tested in a real-world setting, a wooden single-family house company, Company T. The paper contributes with the insights that a PLM system for industrialized house building can be developed, fulfilling the requirements in this specific industry. The functions developed were perceived to have value and could, for Company T, mitigate their challenges with product data management. The support system facilitate integration between the pilot PLM system, the building information modeling tool and the enterprise resource planning system at Company T. Based on the study carried out, the paper concludes that a PLM system is feasible, and that it might be a way to mitigate challenges with product data management in the wooden single-family house industry.
{"title":"Mitigating product data management challenges in the wooden single-family house industry","authors":"Alexander Vestin, Kristina Säfsten, Djordje Popovic","doi":"10.36680/j.itcon.2023.039","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.039","url":null,"abstract":"The housing industry faces challenges in product data management, resulting in negative effects on productivity, efficiency, and quality. The purpose of the study presented in this paper is to elaborate on requirements and functions of a support system to mitigate challenges with product data management in the wooden single-family house industry. As a support system, a pilot product lifecycle management (PLM) system was developed with functions to fulfill the requirements. The support system was installed and tested in a real-world setting, a wooden single-family house company, Company T. The paper contributes with the insights that a PLM system for industrialized house building can be developed, fulfilling the requirements in this specific industry. The functions developed were perceived to have value and could, for Company T, mitigate their challenges with product data management. The support system facilitate integration between the pilot PLM system, the building information modeling tool and the enterprise resource planning system at Company T. Based on the study carried out, the paper concludes that a PLM system is feasible, and that it might be a way to mitigate challenges with product data management in the wooden single-family house industry.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"18 71","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135540980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to poor visibility and fatigue factors, although nighttime construction has been widely used, its safety problems like struck-by accidents have also become increasingly prominent. Most of the current tracking methods of workers are not suitable for direct application in nighttime construction scenarios, so this research proposes a vision-based method, which integrates low-light image enhancement technology, YOLOv5 and Deepsort to track nighttime workers. The proposed method is mainly composed of four modules, including illumination enhancement module, detection module, the Kalman filter and matching module. In the experiment based on nine test videos, the method achieved the average multiple-object tracking accuracy (MOTA) of 89.93% and multiple-object tracking precision (MOTP) of 97.07%. At the same time, the experimental results also show that the method is robust to the common tracking challenges of occlusions, scale variations and posture variations. The proposed method has practical application potential in the monitoring task in nighttime construction, which makes the nighttime construction activities safer and more efficient.
{"title":"Vision-based tracking method of nighttime construction workers by integrating YOLOv5 and Deepsort","authors":"Guofeng Ma, Yiqin Jing, Zihao Huang, Jing Xu, Houzhuang Zhu","doi":"10.36680/j.itcon.2023.38","DOIUrl":"https://doi.org/10.36680/j.itcon.2023.38","url":null,"abstract":"Due to poor visibility and fatigue factors, although nighttime construction has been widely used, its safety problems like struck-by accidents have also become increasingly prominent. Most of the current tracking methods of workers are not suitable for direct application in nighttime construction scenarios, so this research proposes a vision-based method, which integrates low-light image enhancement technology, YOLOv5 and Deepsort to track nighttime workers. The proposed method is mainly composed of four modules, including illumination enhancement module, detection module, the Kalman filter and matching module. In the experiment based on nine test videos, the method achieved the average multiple-object tracking accuracy (MOTA) of 89.93% and multiple-object tracking precision (MOTP) of 97.07%. At the same time, the experimental results also show that the method is robust to the common tracking challenges of occlusions, scale variations and posture variations. The proposed method has practical application potential in the monitoring task in nighttime construction, which makes the nighttime construction activities safer and more efficient.","PeriodicalId":51624,"journal":{"name":"Journal of Information Technology in Construction","volume":"20 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135480517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.36680/j.itcon.2023.036
Alireza Shojaei, Reachsak Ly, Saeed Rokooei, Amirsamman Mahdavian, Ahmed Al-Bayati
Construction site visits and hands-on experiences are among the important instruments for educators in construction engineering and management to provide students with valuable knowledge and more engaging learning experiences. However, in addition to its existing logistical challenges, the COVID-19 pandemic has made site visits even more inaccessible as in-person classes and site visits moved to distant learning or got canceled. In a distance education system, conducting a physical site visit is not an easy task. This study focuses on the use of virtual site visits in construction and experiencing virtual hands-on training using immersive videos. Three types of video formats were used as the main content delivery methods in this pilot study namely, 2D flat, 360-degree, and 180-degree 3D videos. This method was adopted and tested in two courses that were previously face-to-face, which were then shifted to an online format due to the COVID-19 pandemic. The use of immersive videos gave students who would not have the ability to experience a physical site visit, the opportunity to experience the construction site environment and receive educational direction during a pre-recorded, hands-on, immersive video project. The goal of this study is to understand students’ experience with the provided technology, necessary improvement, implications for future research, and the potential implementations of this technology. A costume set of questionnaires was designed to retrieve students’ feedback on their experience which includes a comparison of different content delivery methods and four other study measures: knowledge retention, sense of presence, user experience, and overall satisfaction. Multiple statistical analyses were conducted on the collected data to provide both descriptive details and further insight into the study parameters and their relationship with each other and between different parameters.
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