This paper provides a design of the Information System architecture to support a connected construction site. In order to master the diversity and the complexity of construction site processes, theories are needed that separate the stable essence of the smart construction site from the variable way in which it is realized and implemented. For that, construction site processes were mapped before linking each data path with the existing technological tools using correspondence matrixes. The results enable the definition of a proper system able to deal with the resources allocated to the construction process functionalities. The main challenge faced in this research was to identify which pertinent data is needed that activates the resources to complete each given construction task.
{"title":"Smart Construction Site: Ontology of Information System Architecture","authors":"Zakaria Dakhli, Thomas Danel, Z. Lafhaj","doi":"10.29173/MOCS75","DOIUrl":"https://doi.org/10.29173/MOCS75","url":null,"abstract":"This paper provides a design of the Information System architecture to support a connected construction site. In order to master the diversity and the complexity of construction site processes, theories are needed that separate the stable essence of the smart construction site from the variable way in which it is realized and implemented. For that, construction site processes were mapped before linking each data path with the existing technological tools using correspondence matrixes. The results enable the definition of a proper system able to deal with the resources allocated to the construction process functionalities. The main challenge faced in this research was to identify which pertinent data is needed that activates the resources to complete each given construction task.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114178262","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}
Industry 4.0 has sparked rapid changes in the manufacturing and construction sectors, leading to a significant shift in how off-site factory-based panelized construction machines are designed and manufactured. Concurrent engineering which seeks to close the gap between design and manufacturing sectors provides an ideal environment for machine development. It is a systematic methodology to integrate machines holistic concurrent design activities and their related processes. Competition arising in the marketplace for newly developed machines is driving modifications in the way machine designers develop production machines. Thus, to boost the efficiency in concurrent machine development, appropriate evaluation, and decision analysis tools required to be developed and utilized. Currently, there is no DFX selection tool available to aid the designer in concurrent machine design applications. In this paper, these challenges are addressed through a comprehensive qualitative literature review of DFX techniques with their implementation in Stuart Pugh: Total Design Activity Model. Various DFX techniques are mapped and clustered in a collaborative scheme, interactions and links between them are identified, and the relative importance weight of each is calculated. A description of a functional DFX scheme is proposed in this paper that can aid designers in establishing lean design processes for machine development and reveals its potential application in Multi-DFX fuzzy multi-criteria decision-support system.
工业4.0引发了制造业和建筑业的快速变化，导致非现场工厂板式施工机械的设计和制造方式发生了重大转变。并行工程旨在缩小设计和制造部门之间的差距，为机器开发提供了理想的环境。它是一种将机器整体并行设计活动及其相关过程集成的系统方法。市场上对新开发机器的竞争正在推动机器设计师开发生产机器的方式进行修改。因此，为了提高并发机器开发的效率，需要开发和利用适当的评估和决策分析工具。目前，没有DFX选择工具可用来帮助设计人员在并发机器设计应用程序。在本文中，通过对DFX技术及其在Stuart Pugh: Total Design Activity Model中的实现的全面定性文献综述来解决这些挑战。各种DFX技术被映射和聚集在一个协作方案中，它们之间的相互作用和联系被确定，并计算每个技术的相对重要性权重。本文提出了一种功能性DFX方案，该方案可以帮助设计人员建立机器开发的精益设计过程，并揭示了其在Multi-DFX模糊多准则决策支持系统中的潜在应用。
{"title":"A Collaborative Scheme for DFX Techniques in Concurrent Engineering Mitigated with Total Design Activity Model","authors":"A. Itani, Rafiq Ahmad, M. Al-Hussein","doi":"10.29173/MOCS70","DOIUrl":"https://doi.org/10.29173/MOCS70","url":null,"abstract":"Industry 4.0 has sparked rapid changes in the manufacturing and construction sectors, leading to a significant shift in how off-site factory-based panelized construction machines are designed and manufactured. Concurrent engineering which seeks to close the gap between design and manufacturing sectors provides an ideal environment for machine development. It is a systematic methodology to integrate machines holistic concurrent design activities and their related processes. Competition arising in the marketplace for newly developed machines is driving modifications in the way machine designers develop production machines. Thus, to boost the efficiency in concurrent machine development, appropriate evaluation, and decision analysis tools required to be developed and utilized. Currently, there is no DFX selection tool available to aid the designer in concurrent machine design applications. In this paper, these challenges are addressed through a comprehensive qualitative literature review of DFX techniques with their implementation in Stuart Pugh: Total Design Activity Model. Various DFX techniques are mapped and clustered in a collaborative scheme, interactions and links between them are identified, and the relative importance weight of each is calculated. A description of a functional DFX scheme is proposed in this paper that can aid designers in establishing lean design processes for machine development and reveals its potential application in Multi-DFX fuzzy multi-criteria decision-support system.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126187924","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}
Swedish house building companies currently face many challenges in terms of fluctuating market demand, need for flexible product offering, non-uniform governmental regulations, high costs, and long lead times. These challenges affect both internal and external efficiency of companies. Product platforms have been used for more than a decade in this industry to improve both internal and external efficiency. However, the industry is still criticized for its inefficient and costly process. Smart manufacturing has emerged as means to improve the efficiency of internal processes and the question is if and how smart manufacturing can complement and support product platforms in industrialized house building. The aim of this study is to explore the potential of smart manufacturing to complement and support product platforms in theory and practice in the context of industrialized house building. A literature review and a multiple case study were chosen to fulfill the study objective. In total fourteen semi-structured interviews were conducted in two timber house building companies. The data was analyzed within and across cases using four platform assets for categorization: components, processes, knowledge and relationships. The results show that the smart manufacturing technologies are in both theory and practice mainly supporting the process platform asset through developing vertical and horizontal IT systems integration, definition and digitalization of flexible building systems, and transferring explicit drafting and engineering knowledge into parametric modelling tools.
{"title":"Smart Manufacturing Support to Product Platforms in Industrialized House Building","authors":"D. Popovic, S. Thajudeen, Alexander Vestin","doi":"10.29173/MOCS105","DOIUrl":"https://doi.org/10.29173/MOCS105","url":null,"abstract":"Swedish house building companies currently face many challenges in terms of fluctuating market demand, need for flexible product offering, non-uniform governmental regulations, high costs, and long lead times. These challenges affect both internal and external efficiency of companies. Product platforms have been used for more than a decade in this industry to improve both internal and external efficiency. However, the industry is still criticized for its inefficient and costly process. Smart manufacturing has emerged as means to improve the efficiency of internal processes and the question is if and how smart manufacturing can complement and support product platforms in industrialized house building. The aim of this study is to explore the potential of smart manufacturing to complement and support product platforms in theory and practice in the context of industrialized house building. A literature review and a multiple case study were chosen to fulfill the study objective. In total fourteen semi-structured interviews were conducted in two timber house building companies. The data was analyzed within and across cases using four platform assets for categorization: components, processes, knowledge and relationships. The results show that the smart manufacturing technologies are in both theory and practice mainly supporting the process platform asset through developing vertical and horizontal IT systems integration, definition and digitalization of flexible building systems, and transferring explicit drafting and engineering knowledge into parametric modelling tools.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996682","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}
The integration of renewable micro-generation systems into residential buildings, particularly solar photovoltaic (PV) distributed energy generation, is emerging rapidly as an effective method of mitigating the housing impact on greenhouse gas emissions. However, the application of solar PV micro-generation is confronted with several challenges: (a) the average system self-consumption does not exceed 25% in cold-climate regions; (b) most of the energy generated during daytime, peaking in the summer, is exported to the grid; and (c) rebates from the surplus generated energy exported to the grid are at a lesser rate than that of the imported energy. Due to relatively poor economics paralleled with the solar PV application, governments and policy makers envision the value of considering the integration of renewable energy sources at the community level rather than individual behind-the-meter applications, since this strategy can leverage the system self-consumption and increase its social impacts and economics. In this regard, this research aims to simulate and compare the overall performance of two scenarios of a sustainable community of 42 townhouse units. In the first scenario, each unit is connected to a behind-the-meter solar PV system of 3.3-kWp. In the second scenario, all units are connected to a large 140-kWp solar PV system. Historical data from one typical house has been collected (ongoing since 2015). Monte Carlo simulation technique is applied to ensure the stochasticity of the diverse household users. The hourly energy consumption and generation data is simulated using Simphony.NET® simulation engine based on the real-time data collected in Edmonton, Canada. Then, the load-match is identified as well as grid interaction indicators and system economics resulting from both scenarios. Results indicate that the application of community generation can significantly mitigate the imported and exported energy compared with individual behind-the-meter system generation due to the improved system self-consumption.
{"title":"Toward Community Generation: Energy Simulation and Performance Evaluation of Multi-family Solar PV Settings for Energy-efficient Homes in Edmonton, Canada","authors":"Hadia Awad, M. Gul, M. Al-Hussein","doi":"10.29173/MOCS115","DOIUrl":"https://doi.org/10.29173/MOCS115","url":null,"abstract":"The integration of renewable micro-generation systems into residential buildings, particularly solar photovoltaic (PV) distributed energy generation, is emerging rapidly as an effective method of mitigating the housing impact on greenhouse gas emissions. However, the application of solar PV micro-generation is confronted with several challenges: (a) the average system self-consumption does not exceed 25% in cold-climate regions; (b) most of the energy generated during daytime, peaking in the summer, is exported to the grid; and (c) rebates from the surplus generated energy exported to the grid are at a lesser rate than that of the imported energy. Due to relatively poor economics paralleled with the solar PV application, governments and policy makers envision the value of considering the integration of renewable energy sources at the community level rather than individual behind-the-meter applications, since this strategy can leverage the system self-consumption and increase its social impacts and economics. In this regard, this research aims to simulate and compare the overall performance of two scenarios of a sustainable community of 42 townhouse units. In the first scenario, each unit is connected to a behind-the-meter solar PV system of 3.3-kWp. In the second scenario, all units are connected to a large 140-kWp solar PV system. Historical data from one typical house has been collected (ongoing since 2015). Monte Carlo simulation technique is applied to ensure the stochasticity of the diverse household users. The hourly energy consumption and generation data is simulated using Simphony.NET® simulation engine based on the real-time data collected in Edmonton, Canada. Then, the load-match is identified as well as grid interaction indicators and system economics resulting from both scenarios. Results indicate that the application of community generation can significantly mitigate the imported and exported energy compared with individual behind-the-meter system generation due to the improved system self-consumption.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122635545","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}
D. Drake, Fadil Zaky Ramadhan, Ping Fai Sze, Taiji Miyasaka
This paper describes patent-pending mixtures and methods for producing masonry blocks using gypsum drywall waste and preliminary investigation of Drywall Waste Block (DWB) engineering properties. Recycling waste from building construction and demolition (C&D) provides many environmental and economic benefits. However, challenges remain for recycling certain low-value C&D materials, such as gypsum drywall waste, and there are few uses for drywall waste from demolition, which constitutes the majority of the drywall waste stream. Recycling drywall waste is desirable as this waste produces noxious hydrogen sulphide gas in landfill conditions, resulting in bans on landfilled drywall waste in some localities. Investigation of compressive strength, water absorption, and thermal performance of DWB specimens is described, and results are compared to specifications for concrete masonry units (CMU), and other comparable masonry blocks. Technical gaps for DWB to be recognized as a CMU alternative are also discussed.
{"title":"Drywall Waste Blocks: A Novel Masonry Material Utilizing Recycled Construction & Demolition Waste","authors":"D. Drake, Fadil Zaky Ramadhan, Ping Fai Sze, Taiji Miyasaka","doi":"10.29173/MOCS106","DOIUrl":"https://doi.org/10.29173/MOCS106","url":null,"abstract":"This paper describes patent-pending mixtures and methods for producing masonry blocks using gypsum drywall waste and preliminary investigation of Drywall Waste Block (DWB) engineering properties. Recycling waste from building construction and demolition (C&D) provides many environmental and economic benefits. However, challenges remain for recycling certain low-value C&D materials, such as gypsum drywall waste, and there are few uses for drywall waste from demolition, which constitutes the majority of the drywall waste stream. Recycling drywall waste is desirable as this waste produces noxious hydrogen sulphide gas in landfill conditions, resulting in bans on landfilled drywall waste in some localities. Investigation of compressive strength, water absorption, and thermal performance of DWB specimens is described, and results are compared to specifications for concrete masonry units (CMU), and other comparable masonry blocks. Technical gaps for DWB to be recognized as a CMU alternative are also discussed.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130478966","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}
The development of a research roadmap was undertaken to further the activities of a joint industry-university-government initiative in off-site construction research in Canada. The roadmap identifies the general research areas of structural design, construction materials, building science, advanced manufacturing, logistics and transportation, automation and robotics, and digitized construction. The development of the roadmap included a broad literature review of peer reviewed academic journals, select conference proceedings, and industry publications. The review of recent research in these areas was analyzed from the perspectives of application area, technology area and innovation phase. The purpose of the analysis was to identify the current activities and opportunities for further research. For example, in the area of automation and robotics, the results showed the majority of construction automation research relates to the actual production phase, as opposed to planning or operations. In terms of innovation maturity, little research is being undertaken with respect to the implementation and adoption of automation technologies, and very little research in technology development or prototyping. In addition, applied research is being conducted at approximately half the rate of basic research. A more recent trend has been greater research interest in industrial production technologies, particularly in additive manufacturing. Very little research is being conducted with respect to non-robotic cyber-physical systems including, IoT connectivity, drone technologies, or construction focused actuator and manipulator technologies. This paper will discuss the broader results of the research roadmap with a focus on automation and robotics.
{"title":"A Research Roadmap for Off-Site Construction: Automation and Robotics","authors":"Jeremy Bowmaster, J. Rankin","doi":"10.29173/MOCS91","DOIUrl":"https://doi.org/10.29173/MOCS91","url":null,"abstract":"The development of a research roadmap was undertaken to further the activities of a joint industry-university-government initiative in off-site construction research in Canada. The roadmap identifies the general research areas of structural design, construction materials, building science, advanced manufacturing, logistics and transportation, automation and robotics, and digitized construction. The development of the roadmap included a broad literature review of peer reviewed academic journals, select conference proceedings, and industry publications. The review of recent research in these areas was analyzed from the perspectives of application area, technology area and innovation phase. The purpose of the analysis was to identify the current activities and opportunities for further research. For example, in the area of automation and robotics, the results showed the majority of construction automation research relates to the actual production phase, as opposed to planning or operations. In terms of innovation maturity, little research is being undertaken with respect to the implementation and adoption of automation technologies, and very little research in technology development or prototyping. In addition, applied research is being conducted at approximately half the rate of basic research. A more recent trend has been greater research interest in industrial production technologies, particularly in additive manufacturing. Very little research is being conducted with respect to non-robotic cyber-physical systems including, IoT connectivity, drone technologies, or construction focused actuator and manipulator technologies. This paper will discuss the broader results of the research roadmap with a focus on automation and robotics.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886826","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}
Modular integrated construction (MiC) is an offsite construction technique which can improve construction quality, the certainty of the project cost, provide value for money and reduce construction time, waste generation, and carbon emissions. However, MiC is associated with a unique business model, engineering, supply chain, and stakeholder composition, resulting in bespoke uncertainties and risks. Prominent among them is the uncertainties and risk events in its linked supply chain segments. However, risks identification and allocation in the MiC supply chain segments is not well-established. This research identified and assessed 28 risk events (REs) across the manufacturing, logistics and on-site assembly segments of the MiC supply chain. A principal component analysis generated 10, 6 and 12 REs within the modular manufacturing, logistics, and on-site assembly segments, respectively. A fuzzy synthetic evaluation (FSE) modeling revealed that the on-site assembly REs are the most critical set of risk events with a criticality index of 5.58, followed by the modular manufacturing risk events (5.28) and logistics risk events (5.08). These rankings and criticality assessment have profound implications for the practice and praxis MiC risks management. It is a source of relevant information to stakeholders and practitioners in understanding the MiC supply chain risk events and may prioritize the riskiest events to improve the performance of MiC projects. Again, the assessed REs contributes to the checklists of MiC risk events and may form the basis for future studies on the risk of MiC. Future studies may examine the assessed risk events in different countries using larger samples.
{"title":"Risks Identification and Allocation in the Supply Chain of Modular Integrated Construction (MiC)","authors":"I. Y. Wuni, G. Shen","doi":"10.29173/MOCS93","DOIUrl":"https://doi.org/10.29173/MOCS93","url":null,"abstract":"Modular integrated construction (MiC) is an offsite construction technique which can improve construction quality, the certainty of the project cost, provide value for money and reduce construction time, waste generation, and carbon emissions. However, MiC is associated with a unique business model, engineering, supply chain, and stakeholder composition, resulting in bespoke uncertainties and risks. Prominent among them is the uncertainties and risk events in its linked supply chain segments. However, risks identification and allocation in the MiC supply chain segments is not well-established. This research identified and assessed 28 risk events (REs) across the manufacturing, logistics and on-site assembly segments of the MiC supply chain. A principal component analysis generated 10, 6 and 12 REs within the modular manufacturing, logistics, and on-site assembly segments, respectively. A fuzzy synthetic evaluation (FSE) modeling revealed that the on-site assembly REs are the most critical set of risk events with a criticality index of 5.58, followed by the modular manufacturing risk events (5.28) and logistics risk events (5.08). These rankings and criticality assessment have profound implications for the practice and praxis MiC risks management. It is a source of relevant information to stakeholders and practitioners in understanding the MiC supply chain risk events and may prioritize the riskiest events to improve the performance of MiC projects. Again, the assessed REs contributes to the checklists of MiC risk events and may form the basis for future studies on the risk of MiC. Future studies may examine the assessed risk events in different countries using larger samples.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459463","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}
High-rise modular buildings (HMB), based on the advanced approach of modular construction, have gained momentum in practice due to their offered benefits in accelerated construction, improved quality, reduced health and safety risks, and enhanced productivity. Modular construction with standard design of modules and repetitive processes of module installation is in favor of the development of construction automation. As module installation is one of the critical activities in the delivery of HMBs, it is important to recognize the module installation process automatically so as to facilitate automation in modular construction. However, there is no detailed phase-division of module installation process. Also, little research has been carried out on intelligent process recognition for module installation due to the limited amount of images of real-life projects. To fill in the knowledge gaps, this paper aims to build a transfer learning enabled process recognition model using convolutional neural network (CNN) for module installation of HMBs. The study first divided the module installation process into three stages: hooking, lifting and positioning, with a comprehensive literature review. Then the recognition model for module installation process was created and trained with the adoption of CNN-based transfer learning, and verified with images taken from real-life projects. The results show that the three stages of module installation process are effectively recognized with the proposed model. The transfer learning enabled image recognition model for module installation process accelerates automation in the construction of HMBs for enhanced productivity and accuracy.
{"title":"Transfer Learning Enabled Process Recognition for Module Installation of High-rise Modular Buildings","authors":"Zhiqian Zhang, W. Pan, Zhenjie Zheng","doi":"10.29173/MOCS103","DOIUrl":"https://doi.org/10.29173/MOCS103","url":null,"abstract":"High-rise modular buildings (HMB), based on the advanced approach of modular construction, have gained momentum in practice due to their offered benefits in accelerated construction, improved quality, reduced health and safety risks, and enhanced productivity. Modular construction with standard design of modules and repetitive processes of module installation is in favor of the development of construction automation. As module installation is one of the critical activities in the delivery of HMBs, it is important to recognize the module installation process automatically so as to facilitate automation in modular construction. However, there is no detailed phase-division of module installation process. Also, little research has been carried out on intelligent process recognition for module installation due to the limited amount of images of real-life projects. To fill in the knowledge gaps, this paper aims to build a transfer learning enabled process recognition model using convolutional neural network (CNN) for module installation of HMBs. The study first divided the module installation process into three stages: hooking, lifting and positioning, with a comprehensive literature review. Then the recognition model for module installation process was created and trained with the adoption of CNN-based transfer learning, and verified with images taken from real-life projects. The results show that the three stages of module installation process are effectively recognized with the proposed model. The transfer learning enabled image recognition model for module installation process accelerates automation in the construction of HMBs for enhanced productivity and accuracy.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114732373","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}
Digital data and associated semantics play a fundamental role in supporting the vision of Construction 4.0. Advancements in digitization workflows such as scan-to-BIM and automated meta-data generation are being used for data-driven decision making. A challenge with collecting and processing raw, non-semantic data is the process of integrating intelligence into and characterizing data automatically. This paper demonstrates how spatial parameterization (i.e., extracting, modifying and analysing parameters that define the spatial properties of a component) can be used as a method for automating steps in disassembly planning for buildings. The potential use cases of disassembly planning include adaptive building reuse, robotic assembly programming, reconfigurable prefabricated assemblies and selective disassembly for rehabilitation and repairs. This paper presents spatial parameterization in a framework to disassemble building components via a rule-based algorithm that comprises three dimensional Cartesian properties and clash detection between non-semantic CAD elements. Demonstration of the framework is carried out using a case study where the interior wall of a building on the University of Waterloo campus was disassembled for adaptive reuse purposes. Comparison of the case study results to the actual disassembly sequence demonstrates how spatial parameterization is effective for automating key steps in disassembly planning. A discussion is provided to identify key barriers to increased automation which relate to modelling accuracy, Level of Development (LOD) for Building Information Modelling (BIM), and global spatial constraints for disassembly.
{"title":"Spatial Parameterization of Non-Semantic CAD Elements for Supporting Automated Disassembly Planning","authors":"C. Rausch, B. Sanchez, C. Haas","doi":"10.29173/MOCS83","DOIUrl":"https://doi.org/10.29173/MOCS83","url":null,"abstract":"Digital data and associated semantics play a fundamental role in supporting the vision of Construction 4.0. Advancements in digitization workflows such as scan-to-BIM and automated meta-data generation are being used for data-driven decision making. A challenge with collecting and processing raw, non-semantic data is the process of integrating intelligence into and characterizing data automatically. This paper demonstrates how spatial parameterization (i.e., extracting, modifying and analysing parameters that define the spatial properties of a component) can be used as a method for automating steps in disassembly planning for buildings. The potential use cases of disassembly planning include adaptive building reuse, robotic assembly programming, reconfigurable prefabricated assemblies and selective disassembly for rehabilitation and repairs. This paper presents spatial parameterization in a framework to disassemble building components via a rule-based algorithm that comprises three dimensional Cartesian properties and clash detection between non-semantic CAD elements. Demonstration of the framework is carried out using a case study where the interior wall of a building on the University of Waterloo campus was disassembled for adaptive reuse purposes. Comparison of the case study results to the actual disassembly sequence demonstrates how spatial parameterization is effective for automating key steps in disassembly planning. A discussion is provided to identify key barriers to increased automation which relate to modelling accuracy, Level of Development (LOD) for Building Information Modelling (BIM), and global spatial constraints for disassembly.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128506183","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}
Modular and offsite construction is becoming increasingly popular around the world. In Hong Kong, a modular integration construction (MiC) method is identified as a pragmatic approach to speed up the housing construction program and to solve the productivity and manpower problems of the industry. Using the MiC, virtually all the construction works including the finishing as well as the mechanical and electrical installation are completed offsite. The MiC units are then delivered to and installed on site. While the MiC can shift the risks of construction projects to the factories, this construction method is not without challenges. This is particularly the case for Hong Kong as most of the construction sites in the city are cramped due to the high-density urban environment. The problem is aggravated when every modular unit is unique and they are time consuming to produce. Any damages to the MiC components during the lifting process could seriously affect the entire construction sequence under a just-in-time management philosophy. Therefore, it is imperative to plan and monitor the logistics carefully when the MiC technique is used. To reduce any human errors and increase the efficiency and accuracy of the lifting process, a virtual reality (VR) approach may be adopted to simulate the construction logistics of MiC construction and train the crane operators. In this paper, a VR model is developed to simulate the construction of a high-rise residential building in a confined site. Various functions are built into the VR model to support the decisions pertinent to lifting logistics planning. In this paper, the design considerations and functions of the VR model are identified through a series of interviews. Moreover, the validation interviews help unveil the potentials and pitfalls of the developed VR model.
{"title":"Applying Virtual Reality to Improve the Construction Logistics of High-rise Modular Integrated Construction","authors":"Enoch H.L. Cheung, NG S.Thomas","doi":"10.29173/MOCS79","DOIUrl":"https://doi.org/10.29173/MOCS79","url":null,"abstract":"Modular and offsite construction is becoming increasingly popular around the world. In Hong Kong, a modular integration construction (MiC) method is identified as a pragmatic approach to speed up the housing construction program and to solve the productivity and manpower problems of the industry. Using the MiC, virtually all the construction works including the finishing as well as the mechanical and electrical installation are completed offsite. The MiC units are then delivered to and installed on site. While the MiC can shift the risks of construction projects to the factories, this construction method is not without challenges. This is particularly the case for Hong Kong as most of the construction sites in the city are cramped due to the high-density urban environment. The problem is aggravated when every modular unit is unique and they are time consuming to produce. Any damages to the MiC components during the lifting process could seriously affect the entire construction sequence under a just-in-time management philosophy. Therefore, it is imperative to plan and monitor the logistics carefully when the MiC technique is used. To reduce any human errors and increase the efficiency and accuracy of the lifting process, a virtual reality (VR) approach may be adopted to simulate the construction logistics of MiC construction and train the crane operators. In this paper, a VR model is developed to simulate the construction of a high-rise residential building in a confined site. Various functions are built into the VR model to support the decisions pertinent to lifting logistics planning. In this paper, the design considerations and functions of the VR model are identified through a series of interviews. Moreover, the validation interviews help unveil the potentials and pitfalls of the developed VR model.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133813469","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：