This study focuses on the integration of Building Information Modeling (BIM) and digital twin technology, aiming to thoroughly analyze the fundamental principles underlying their convergence, major challenges encounte...This study focuses on the integration of Building Information Modeling (BIM) and digital twin technology, aiming to thoroughly analyze the fundamental principles underlying their convergence, major challenges encountered, specific implementation steps, and future development prospects. The paper first elucidates the core concepts of both technologies: BIM enables seamless integration of geometric shapes and diverse information, while digital twins allow real-time adaptation and precise correspondence between physical and virtual worlds. It further highlights how the complementary advantages of these technologies yield enhanced synergistic effects when combined—a collaboration approach of paramount significance. During widespread adoption, practical challenges have emerged, including inconsistent data standards, substantial operational costs, and a shortage of professionals proficient in both technologies. Addressing these issues, the research team meticulously examined critical integration points, detailing methods for consolidating heterogeneous data models, leveraging IoT-based real-time data collection and updates, and developing a robust twin platform capable of supporting complex analytical capabilities.展开更多
Against the backdrop of the global decline in environmental resources, in response to the national call for environmental protection, green buildings have gradually become the core of the construction industry’s deve...Against the backdrop of the global decline in environmental resources, in response to the national call for environmental protection, green buildings have gradually become the core of the construction industry’s development. As a digital technology that has been continuously innovated in recent years, Building Information Modeling (BIM) technology has played a significant role in many green building projects. This paper, based on the application of Building Information Modeling technology and the requirements of green buildings, combines specific cases to analyze the application of Building Information Modeling technology in each stage of the green building’s life cycle and the changes it has brought. The results show that compared with traditional construction methods, Building Information Modeling technology, with its advantages of greater refinement, visualization, and data-driven approach, has had a significant impact on reducing resource and energy consumption in building construction while meeting industry standards and human needs.展开更多
With the accelerating pace of building industrialization, prefabricated construction has been widely adopted due to its numerous advantages such as standardization, efficiency, and energy conservation and environmenta...With the accelerating pace of building industrialization, prefabricated construction has been widely adopted due to its numerous advantages such as standardization, efficiency, and energy conservation and environmental sustainability. The construction process requires close coordination across multiple stages including design, production, transportation, and assembly. However, traditional paper-based documentation and decentralized system management often lead to issues like information fragmentation, slow communication, and poor collaboration, frequently resulting in rework, cost overruns, and project delays. The research team focuses specifically on developing an information collaboration management model that spans the entire construction lifecycle, aiming to enhance project management effectiveness and overall quality through advanced information technology.展开更多
With the rapid development of prefabricated construction, traditional construction quality acceptance models face challenges in collaboration, efficiency, and refined management. This paper addresses the characteristi...With the rapid development of prefabricated construction, traditional construction quality acceptance models face challenges in collaboration, efficiency, and refined management. This paper addresses the characteristics of prefabricated buildings and proposes a collaborative acceptance method based on Building Information Modeling (BIM). First, it analyzes the existing quality acceptance process for prefabricated construction, highlighting significant issues such as poor information flow, inconsistent implementation of acceptance standards, and difficulties in tracing problems. Then, it constructs a BIM-based collaborative acceptance framework, establishing a cooperative logic and acceptance workflow centered on models and data, and demonstrating how acceptance specifications can be structurally linked to BIM model component attributes and status information. Subsequently, it details the specific implementation steps across three key phases: during the construction preparation stage, it clarifies acceptance benchmarks through collaboration between detailed design models and acceptance plans; during the component delivery and installation phase, it enables real-time recording of on-site quality data via mobile terminals and compares them with the BIM model to achieve process-based collaborative acceptance; and during the final acceptance stage, it integrates data from the entire process to support joint verification and closed-loop management of quality issues. The paper outlines the technical, managerial, and institutional requirements necessary for implementing this method and evaluates its positive impacts on improving acceptance efficiency, strengthening quality control, and enabling traceability of quality responsibilities. The BIM-based collaborative acceptance approach effectively integrates information from all parties, standardizes acceptance practices, and provides a systematic solution for enhancing quality management in prefabricated construction.展开更多
In view of the imperfect supply chain management of prefabricated building,inadequate information interaction among the participating subjects,and untimely information updates,the integration and development of BIM te...In view of the imperfect supply chain management of prefabricated building,inadequate information interaction among the participating subjects,and untimely information updates,the integration and development of BIM technology plus the supply chain of prefabricated building is analyzed,and the problems existing in the current supply chain and the application of BIM technology at various stages are elaborated.By analyzing the structural composition of the prefabricated building supply chain,an information sharing platform framework for prefabricated building supply chain based on BIM was established,which serves as a valuable reference for managing prefabricated building supply chains.BIM technology aligns well with assembly construction,laying a solid foundation for their synergistic development and offering novel research avenues for the prefabricated building supply chain.展开更多
The management of large-scale architectural engineering projects(e.g.,airports,hospitals)is plagued by information silos,cost overruns,and scheduling delays.While building information modeling(BIM)has improved 3D desi...The management of large-scale architectural engineering projects(e.g.,airports,hospitals)is plagued by information silos,cost overruns,and scheduling delays.While building information modeling(BIM)has improved 3D design coordination,its static nature limits its utility in real-time construction management and operational phases.This paper proposes a novel synergistic framework that integrates the static,deep data of BIM with the dynamic,real-time capabilities of digital twin(DT)technology.The framework establishes a closed-loop data flow from design(BIM)to construction(IoT,drones,BIM 360)to operation(DT platform).We detail the technological stack required,including IoT sensors,cloud computing,and AI-driven analytics.The application of this framework is illustrated through a simulated case study of a mega-terminal airport construction project,demonstrating potential reductions in rework by 15%,improvement in labor productivity by 10%,and enhanced predictive maintenance capabilities.This research contributes to the field of construction engineering by providing a practical model for achieving full lifecycle digitalization and intelligent project management.展开更多
This research focuses on using BIM modeling optimization to control construction-period risks in the pre-construction stage of industrial factory buildings.It analyzes common risk factors and limitations of traditiona...This research focuses on using BIM modeling optimization to control construction-period risks in the pre-construction stage of industrial factory buildings.It analyzes common risk factors and limitations of traditional approaches.BIM-based methods like collision detection,4D simulation,multi-dimensional data integration,etc.,can effectively mitigate risks.Stakeholder collaboration,digital twin testing,and lean BIM integration is also crucial.Case studies show BIM can reduce risks by 32-41%,with a three phase roadmap provided.展开更多
The whole-process project cost management based on building information modeling(BIM)is a new management method,aiming to realize the comprehensive optimization and improvement of project cost management through the a...The whole-process project cost management based on building information modeling(BIM)is a new management method,aiming to realize the comprehensive optimization and improvement of project cost management through the application of BIM technology.This paper summarizes and analyzes the whole-process project cost management based on BIM,aiming to explore its application and development prospects in the construction industry.Firstly,this paper introduces the role and advantages of BIM technology in engineering cost management,including information integration,data sharing,and collaborative work.Secondly,the paper analyzes the key technologies and methods of the whole-process project cost management based on BIM,including model construction,data management,and cost control.In addition,the paper also discusses the challenges and limitations of the whole-process BIM project cost management,such as the inconsistency of technical standards,personnel training,and consciousness change.Finally,the paper summarizes the advantages and development prospects of the whole-process project cost management based on BIM and puts forward the direction and suggestions for future research.Through the research of this paper,it can provide a reference for construction cost management and promote innovation and development in the construction industry.展开更多
A typical building project has a long life in the maintenance stage. Also, the cost at this stage is enormously huge compared to planning, design and construction phases. In the earlier stage, which is planning or des...A typical building project has a long life in the maintenance stage. Also, the cost at this stage is enormously huge compared to planning, design and construction phases. In the earlier stage, which is planning or design phase, however, many project participants put little emphasis on the maintenance information. As a result, important maintenance data is missing and erroneously feedback to the 3D/BIM model. This research provides a generic process model for maintenance information management for building facilities. The authors have identified that there exist most-frequently used information areas: checking information, material information, equipment information, supplier information, and maintenance history information. Each information area should be embedded in the BIM model in order to effectively feedback to the operation and maintenance stage in the project. Thus, the study has proposed a novel data format structure which can effectively link the 3D/BIM object with the maintenance data. The demonstration project shows how the data format structure is used. The contribution of this study is to provide guidance to a project practitioner by step-by-step approach in dealing with the significant maintenance information in the earlier stage of the construction project.展开更多
In the era of big data,data-driven technologies are increasingly leveraged by industry to facilitate autonomous learning and intelligent decision-making.However,the challenge of“small samples in big data”emerges whe...In the era of big data,data-driven technologies are increasingly leveraged by industry to facilitate autonomous learning and intelligent decision-making.However,the challenge of“small samples in big data”emerges when datasets lack the comprehensive information necessary for addressing complex scenarios,which hampers adaptability.Thus,enhancing data completeness is essential.Knowledge-guided virtual sample generation transforms domain knowledge into extensive virtual datasets,thereby reducing dependence on limited real samples and enabling zero-sample fault diagnosis.This study used building air conditioning systems as a case study.We innovatively used the large language model(LLM)to acquire domain knowledge for sample generation,significantly lowering knowledge acquisition costs and establishing a generalized framework for knowledge acquisition in engineering applications.This acquired knowledge guided the design of diffusion boundaries in mega-trend diffusion(MTD),while the Monte Carlo method was used to sample within the diffusion function to create information-rich virtual samples.Additionally,a noise-adding technique was introduced to enhance the information entropy of these samples,thereby improving the robustness of neural networks trained with them.Experimental results showed that training the diagnostic model exclusively with virtual samples achieved an accuracy of 72.80%,significantly surpassing traditional small-sample supervised learning in terms of generalization.This underscores the quality and completeness of the generated virtual samples.展开更多
Building envelope is a fence that controls heat exchange between interior and exterior and plays an essential role in providing thermal comfort conditions of residents. In recent years, due to the necessity of conserv...Building envelope is a fence that controls heat exchange between interior and exterior and plays an essential role in providing thermal comfort conditions of residents. In recent years, due to the necessity of conserving energy and also preventing increased environmental pollution, the importance of sustainable construction has been doubled. Checking the problems of thermal behavior of the building envelope materials, and what influences in the heating and cooling loads exerted and energy consumption of buildings, are the questions that this research seeks to answer. In this regard, building information modelling analysis (BIM) has worthy contribution in the completion process of sustainable design;thus using software Design Builder, it is paid attention to simulation of the thermal behavior of two types of defined materials for the building envelope that was designed as a Research Institute of Renewable Energy of Yazd University. For Type 1 materials, two layers of brick have been selected, and for Type 2 a thermal insulation layer also added it. Results of the analysis showed that the use of materials Type 2 in the cooling load %4.8 and in the thermal load %62.5 reduction can be achieved which means reducing the load on active system and thus reducing the initial cost of building. Also reduction in annual energy consumption by almost %2.4 for cooling and %62.9 for heating buildings have been achieved, which makes saving non-renewable energy consumption, and consequently reducing environmental pollution as well as reducing current costs will be established.展开更多
Underground pipeline networks constitute a major component of urban infrastructure,and thus,it is imperative to have an efficient mechanism to manage them.This study introduces a secondary development system to effici...Underground pipeline networks constitute a major component of urban infrastructure,and thus,it is imperative to have an efficient mechanism to manage them.This study introduces a secondary development system to efficiently model underground pipeline networks,using the building information modeling(BIM)-based software Revit.The system comprises separate pipe point and tubulation models.Using a Revit application programming interface(API),the spatial position and attribute data of the pipe points are extracted from a pipeline database,and the corresponding tubulation data are extracted from a tubulation database.Using the Family class in Revit API,the cluster in the self-built library of pipe point is inserted into the spatial location and the attribute data is added;in the same way,all pipeline instances in the pipeline system are created.The extension and localization of the model accelerated the modeling speed.The system was then used in a real construction project.The expansion of the model database and rapid modeling made the application of BIM technology in three-dimensional visualization of underground pipeline networks more convenient.Furthermore,it has applications in pipeline engineering construction and management.展开更多
摘要This study focuses on the integration of Building Information Modeling (BIM) and digital twin technology, aiming to thoroughly analyze the fundamental principles underlying their convergence, major challenges encountered, specific implementation steps, and future development prospects. The paper first elucidates the core concepts of both technologies: BIM enables seamless integration of geometric shapes and diverse information, while digital twins allow real-time adaptation and precise correspondence between physical and virtual worlds. It further highlights how the complementary advantages of these technologies yield enhanced synergistic effects when combined—a collaboration approach of paramount significance. During widespread adoption, practical challenges have emerged, including inconsistent data standards, substantial operational costs, and a shortage of professionals proficient in both technologies. Addressing these issues, the research team meticulously examined critical integration points, detailing methods for consolidating heterogeneous data models, leveraging IoT-based real-time data collection and updates, and developing a robust twin platform capable of supporting complex analytical capabilities.
摘要Against the backdrop of the global decline in environmental resources, in response to the national call for environmental protection, green buildings have gradually become the core of the construction industry’s development. As a digital technology that has been continuously innovated in recent years, Building Information Modeling (BIM) technology has played a significant role in many green building projects. This paper, based on the application of Building Information Modeling technology and the requirements of green buildings, combines specific cases to analyze the application of Building Information Modeling technology in each stage of the green building’s life cycle and the changes it has brought. The results show that compared with traditional construction methods, Building Information Modeling technology, with its advantages of greater refinement, visualization, and data-driven approach, has had a significant impact on reducing resource and energy consumption in building construction while meeting industry standards and human needs.
摘要With the accelerating pace of building industrialization, prefabricated construction has been widely adopted due to its numerous advantages such as standardization, efficiency, and energy conservation and environmental sustainability. The construction process requires close coordination across multiple stages including design, production, transportation, and assembly. However, traditional paper-based documentation and decentralized system management often lead to issues like information fragmentation, slow communication, and poor collaboration, frequently resulting in rework, cost overruns, and project delays. The research team focuses specifically on developing an information collaboration management model that spans the entire construction lifecycle, aiming to enhance project management effectiveness and overall quality through advanced information technology.
摘要With the rapid development of prefabricated construction, traditional construction quality acceptance models face challenges in collaboration, efficiency, and refined management. This paper addresses the characteristics of prefabricated buildings and proposes a collaborative acceptance method based on Building Information Modeling (BIM). First, it analyzes the existing quality acceptance process for prefabricated construction, highlighting significant issues such as poor information flow, inconsistent implementation of acceptance standards, and difficulties in tracing problems. Then, it constructs a BIM-based collaborative acceptance framework, establishing a cooperative logic and acceptance workflow centered on models and data, and demonstrating how acceptance specifications can be structurally linked to BIM model component attributes and status information. Subsequently, it details the specific implementation steps across three key phases: during the construction preparation stage, it clarifies acceptance benchmarks through collaboration between detailed design models and acceptance plans; during the component delivery and installation phase, it enables real-time recording of on-site quality data via mobile terminals and compares them with the BIM model to achieve process-based collaborative acceptance; and during the final acceptance stage, it integrates data from the entire process to support joint verification and closed-loop management of quality issues. The paper outlines the technical, managerial, and institutional requirements necessary for implementing this method and evaluates its positive impacts on improving acceptance efficiency, strengthening quality control, and enabling traceability of quality responsibilities. The BIM-based collaborative acceptance approach effectively integrates information from all parties, standardizes acceptance practices, and provides a systematic solution for enhancing quality management in prefabricated construction.
基金“Education Department of Hebei Funding Project for Cultivating the Innovative Capabilities of Graduate Students”(Project No.:XJCX202510)。
摘要In view of the imperfect supply chain management of prefabricated building,inadequate information interaction among the participating subjects,and untimely information updates,the integration and development of BIM technology plus the supply chain of prefabricated building is analyzed,and the problems existing in the current supply chain and the application of BIM technology at various stages are elaborated.By analyzing the structural composition of the prefabricated building supply chain,an information sharing platform framework for prefabricated building supply chain based on BIM was established,which serves as a valuable reference for managing prefabricated building supply chains.BIM technology aligns well with assembly construction,laying a solid foundation for their synergistic development and offering novel research avenues for the prefabricated building supply chain.
摘要The management of large-scale architectural engineering projects(e.g.,airports,hospitals)is plagued by information silos,cost overruns,and scheduling delays.While building information modeling(BIM)has improved 3D design coordination,its static nature limits its utility in real-time construction management and operational phases.This paper proposes a novel synergistic framework that integrates the static,deep data of BIM with the dynamic,real-time capabilities of digital twin(DT)technology.The framework establishes a closed-loop data flow from design(BIM)to construction(IoT,drones,BIM 360)to operation(DT platform).We detail the technological stack required,including IoT sensors,cloud computing,and AI-driven analytics.The application of this framework is illustrated through a simulated case study of a mega-terminal airport construction project,demonstrating potential reductions in rework by 15%,improvement in labor productivity by 10%,and enhanced predictive maintenance capabilities.This research contributes to the field of construction engineering by providing a practical model for achieving full lifecycle digitalization and intelligent project management.
摘要This research focuses on using BIM modeling optimization to control construction-period risks in the pre-construction stage of industrial factory buildings.It analyzes common risk factors and limitations of traditional approaches.BIM-based methods like collision detection,4D simulation,multi-dimensional data integration,etc.,can effectively mitigate risks.Stakeholder collaboration,digital twin testing,and lean BIM integration is also crucial.Case studies show BIM can reduce risks by 32-41%,with a three phase roadmap provided.
摘要The whole-process project cost management based on building information modeling(BIM)is a new management method,aiming to realize the comprehensive optimization and improvement of project cost management through the application of BIM technology.This paper summarizes and analyzes the whole-process project cost management based on BIM,aiming to explore its application and development prospects in the construction industry.Firstly,this paper introduces the role and advantages of BIM technology in engineering cost management,including information integration,data sharing,and collaborative work.Secondly,the paper analyzes the key technologies and methods of the whole-process project cost management based on BIM,including model construction,data management,and cost control.In addition,the paper also discusses the challenges and limitations of the whole-process BIM project cost management,such as the inconsistency of technical standards,personnel training,and consciousness change.Finally,the paper summarizes the advantages and development prospects of the whole-process project cost management based on BIM and puts forward the direction and suggestions for future research.Through the research of this paper,it can provide a reference for construction cost management and promote innovation and development in the construction industry.
摘要A typical building project has a long life in the maintenance stage. Also, the cost at this stage is enormously huge compared to planning, design and construction phases. In the earlier stage, which is planning or design phase, however, many project participants put little emphasis on the maintenance information. As a result, important maintenance data is missing and erroneously feedback to the 3D/BIM model. This research provides a generic process model for maintenance information management for building facilities. The authors have identified that there exist most-frequently used information areas: checking information, material information, equipment information, supplier information, and maintenance history information. Each information area should be embedded in the BIM model in order to effectively feedback to the operation and maintenance stage in the project. Thus, the study has proposed a novel data format structure which can effectively link the 3D/BIM object with the maintenance data. The demonstration project shows how the data format structure is used. The contribution of this study is to provide guidance to a project practitioner by step-by-step approach in dealing with the significant maintenance information in the earlier stage of the construction project.
基金supported by the National Natural Science Foundation of China(No.62306281)the Natural Science Foundation of Zhejiang Province(Nos.LQ23E060006 and LTGG24E050005)the Key Research Plan of Jiaxing City(No.2024BZ20016).
摘要In the era of big data,data-driven technologies are increasingly leveraged by industry to facilitate autonomous learning and intelligent decision-making.However,the challenge of“small samples in big data”emerges when datasets lack the comprehensive information necessary for addressing complex scenarios,which hampers adaptability.Thus,enhancing data completeness is essential.Knowledge-guided virtual sample generation transforms domain knowledge into extensive virtual datasets,thereby reducing dependence on limited real samples and enabling zero-sample fault diagnosis.This study used building air conditioning systems as a case study.We innovatively used the large language model(LLM)to acquire domain knowledge for sample generation,significantly lowering knowledge acquisition costs and establishing a generalized framework for knowledge acquisition in engineering applications.This acquired knowledge guided the design of diffusion boundaries in mega-trend diffusion(MTD),while the Monte Carlo method was used to sample within the diffusion function to create information-rich virtual samples.Additionally,a noise-adding technique was introduced to enhance the information entropy of these samples,thereby improving the robustness of neural networks trained with them.Experimental results showed that training the diagnostic model exclusively with virtual samples achieved an accuracy of 72.80%,significantly surpassing traditional small-sample supervised learning in terms of generalization.This underscores the quality and completeness of the generated virtual samples.
摘要Building envelope is a fence that controls heat exchange between interior and exterior and plays an essential role in providing thermal comfort conditions of residents. In recent years, due to the necessity of conserving energy and also preventing increased environmental pollution, the importance of sustainable construction has been doubled. Checking the problems of thermal behavior of the building envelope materials, and what influences in the heating and cooling loads exerted and energy consumption of buildings, are the questions that this research seeks to answer. In this regard, building information modelling analysis (BIM) has worthy contribution in the completion process of sustainable design;thus using software Design Builder, it is paid attention to simulation of the thermal behavior of two types of defined materials for the building envelope that was designed as a Research Institute of Renewable Energy of Yazd University. For Type 1 materials, two layers of brick have been selected, and for Type 2 a thermal insulation layer also added it. Results of the analysis showed that the use of materials Type 2 in the cooling load %4.8 and in the thermal load %62.5 reduction can be achieved which means reducing the load on active system and thus reducing the initial cost of building. Also reduction in annual energy consumption by almost %2.4 for cooling and %62.9 for heating buildings have been achieved, which makes saving non-renewable energy consumption, and consequently reducing environmental pollution as well as reducing current costs will be established.
基金supported by a grant(No.14DZ2292800,http://gffzz6fd2bda4316d4dc7hxp665qwvoqo96u90.ffgz.tsg.suse.edu.cn/)from“Technology Service Platform of Civil Engineering”of Science and Technology Commission of Shanghai Municipality.
摘要Underground pipeline networks constitute a major component of urban infrastructure,and thus,it is imperative to have an efficient mechanism to manage them.This study introduces a secondary development system to efficiently model underground pipeline networks,using the building information modeling(BIM)-based software Revit.The system comprises separate pipe point and tubulation models.Using a Revit application programming interface(API),the spatial position and attribute data of the pipe points are extracted from a pipeline database,and the corresponding tubulation data are extracted from a tubulation database.Using the Family class in Revit API,the cluster in the self-built library of pipe point is inserted into the spatial location and the attribute data is added;in the same way,all pipeline instances in the pipeline system are created.The extension and localization of the model accelerated the modeling speed.The system was then used in a real construction project.The expansion of the model database and rapid modeling made the application of BIM technology in three-dimensional visualization of underground pipeline networks more convenient.Furthermore,it has applications in pipeline engineering construction and management.