Information Modeling Technology Research Articles

A new paradigm for construction safety management in China: Introducing knowledge graph and accident database into the early-stage of BIM

Significant progress has been made in managing construction safety risks based on Building Information Modelling (BIM) technology. BIM is active in all stages of construction, including5 planning, design, pre-construction and construction. However, the causes of risks and accidents are complex and can be related to humans, the environment, data and project portraits. The current construction safety risk management process lacks scientific reference and efficiency in conducting comprehensive inspections for specific projects. The uneven and substandard data quality in BIM models significantly undermines their effectiveness. This article introduces a knowledge graph and accident database through data crawling and structuring, with the use and analysis of an accident causation model, providing key risk elements and management directions for safety managers who require a high level of attention during the early-stage of BIM. The obtained knowledge graph was subjected to data mining analysis to explore the causes of accidents, considering the combined effect of multiple factors, such as “case-date-cause” and “case-address-cause”. The paradigm can be recognized by the BIM, and through the secondary development on the development side, a data interface is constructed to transfer the knowledge graph into the BIM. The approach mentioned in the article can provide standard and structured data for the BIM model, analysing high-risk points of projects, which is valuable for engineering applications.

Evaluating the effective factors of BIM for enhancing the construction interface management

Maintaining the proper interface management among the construction stakeholders is becoming more crucial due to the interconnected nature of construction work. Adopting and implementing building information modelling (BIM) technology can aid in the proper execution of construction projects. Therefore, the main goal of this study is to evaluate the effective factors of BIM using DeLone and McLean’s (DM) model. The DM model's factors evaluate the system or technology in terms of system quality, information quality, service quality, and most importantly, the system's net benefits and user satisfaction. The questionnaire was developed with the expert's opinion and the survey was conducted. As megaprojects have more complicated and various levels of information sharing, this study targeted collecting responses from industrial project practitioners in India. From the survey, a total of 166 responses were obtained. Using these data, the frequency test, reliability test, and the relative importance index (RII) were performed. These effective factors of BIM contribute significantly to project performance improvement through proper interface management and communication among stakeholders. The findings of the study emphasized the importance of user satisfaction and the net benefits of BIM. Thus, this study provides further insights to increase the adoption and implementation of BIM technology.

The Inversion Location of Microleakage Source and Diffusion Backward Tracing Method Based on 3D Visual Information Model of Salt-Cavern Gas Storage

Summary The safe and stable operation of underground gas storage makes a positive contribution to national energy security. To improve the efficiency of real-time monitoring and early warning of gas leakage accidents at the wellsite of salt-cavern gas storage, an inversion location of the gas microleakage source and a backward tracing method of leakage diffusion are proposed. Through building a 3D visual information model of the salt-cavern gas storage based on building information modeling (BIM) technology and combining it with the advantages of the gas sensors, the real-time inversion location of the microleakage source and diffusion backward tracing in the wellsite can be realized. First, multiple point-type laser methane sensors were used to monitor the leakage of some key zones in real time, and a pan/tilt/zoom (PTZ) scanning laser methane telemeter was used to realize the real-time multidimensional space monitoring on-site from horizontal 360° to vertical 180°. Second, a 3D integrated monitoring platform is established to analyze the gas leakage source by combining the monitoring data and improving the mesh interpolation points. Finally, the whole data and wellsite information are imported into the 3D integrated monitoring platform to realize the inversion location of the microleakage source and the real-time monitoring of the leakage and diffusion state in the whole region. The monitoring precision of gas leakage concentration can be up to 1.0 ppm, and the location distance is within 0.1 m based on the numerical simulation of the 3D model and actual detected data from sensors in the platform. Compared with the technical means of manual assisted leak location, this method effectively solves the difficult problem of leakage monitoring and location accurately in the gas storage and can timely reduce the expansion and impact of leakage accidents.

AI-Driven BIM Integration for Optimizing Healthcare Facility Design

Efficient healthcare facility design is crucial for providing high-quality healthcare services. This study introduces an innovative approach that integrates artificial intelligence (AI) algorithms, specifically particle swarm optimization (PSO), with building information modeling (BIM) and digital twin technologies to enhance facility layout optimization. The methodology seamlessly integrates AI-driven layout optimization with the robust visualization, analysis, and real-time capabilities of BIM and digital twins. Through the convergence of AI algorithms, BIM, and digital twins, this framework empowers stakeholders to establish a virtual environment for the streamlined exploration and evaluation of diverse design options, significantly reducing the time and manual effort required for layout design. The PSO algorithm generates optimized 2D layouts, which are seamlessly transformed into 3D BIM models through visual programming in Dynamo. This transition enables stakeholders to visualize, analyze, and monitor designs comprehensively, facilitating well-informed decision-making and collaborative discussions. The study presents a comprehensive methodology that underscores the potential of AI, BIM, and digital twin integration, offering a path toward more efficient and effective facility design.

Performance of traditional Chinese courtyard buildings from a sustainability perspective and implications for contemporary green building design

Climate change, resource depletion, and biodiversity decline have prompted the construction industry to seek more sustainable solutions. While high-tech and often high-cost technologies and equipment support progress toward more sustainable built form, the sustainability performance of historical and vernacular buildings should also be reviewed. These buildings may offer advantages that are “hidden in plain sight.” This research focuses on the use of building information modeling technology to model and simulate a historical Chinese courtyard building. The outcomes of the simulation were evaluated using the green building council of Australia’s green star rating criteria to provide quantitative results. At the same time, relevant literature was explored to obtain a qualitative perspective. The final results indicate that courtyard buildings can serve as useful references for contemporary building design and retrofitting. The choice of building materials offers designers effective ideas for designing sustainable buildings. Courtyards can enhance ventilation, cooling, humidity control, light exposure, and connectivity to outdoor areas while ensuring privacy. In developing countries, this approach may be a viable way to promote sustainable development and energy conservation.

Innovative BIM technology application in the construction management of highway

Within the global architecture, engineering, and construction industry, the use of Building Information Modeling (BIM) technology has significantly expanded. However, given the unique characteristics of road infrastructure, the application of BIM technology is still being explored. This article focuses on the Yuanchen Expressway, exploring innovative applications of BIM technology in comprehensive construction management. The project employs advanced technologies, including BIM, Geographic Information Systems (GIS), and the Internet of Things (IoT), to precisely identify critical nodes and breakthroughs. Supported by a detailed BIM model and a multi-level, diversified digital management platform, the project effectively addresses construction challenges in multiple tunnels, bridges, and complex interchanges, achieving intelligent construction innovation throughout the Yuanchen Expressway with BIM technology. By guiding construction through BIM models, utilizing a BIM+GIS-based management cloud platform system, and employing VR safety briefings, the project effectively reduces the difficulty of communication and coordination in project management, shortens the project measurement cycle, improves on-site work efficiency, and ensures comprehensive control and safety management. This article provides an exemplary case for the application of full-line construction management using BIM technology in the highway sector both in China and globally, offering new perspectives and strategies for highway construction management.

Application of BIM in Civil Engineering

This paper explores how the use of Building Information Modeling (BIM) can be a beneficial platform for Civil engineers. The utilization of BIM (Building Information Modeling) is becoming a hot issue for many public work projects. Also, its market seems to be expanded as BIM is applied in procurement constructions. This concept is the basis of Building Information Modeling (BIM) technology. There is now a growing interest in the adoption of this technology within the Architecture, Engineering and Construction (AEC) industry. The capacity of BIM for civil engineering to study many possibilities enhances results and offers data-driven confidence that projects can be completed on time and under budget. BIM provides shared information throughout the course of a project, producing powerful outcomes. The method of building information modelling (BIM), which is based on 3D models, is the cornerstone of the digital transformation. The information around design assets may be created and managed by civil engineers, resulting in increased teamwork, shared data, and project completion that is both on schedule and within budget. Next, the idea of Building Information Modelling (BIM) and its practical benefits are described. Main part of the paper is devoted to discussion about what kind of difficulties we may encounter during the implementation of the BIM technology and how they are related to the potential benefits.

Применение инновационных подходов к развитию инфраструктуры горных территорий на примере объектов образования

The goal is to develop proposals for the sustainable development of mountain areas based on the use of innovative approaches to the development of social infrastructure taking into account the example of educational facilities. Methods.The set of methods was used to achieve the stated purpose of the study, namely: literature analysis – to identify the main problems of the sustainable development of mountain areas, including in the field of social infrastructure using the example of educational facilities; analogy – to develop the proposals for the development of educational organizations of higher and secondary education according to the principles of campus organization of space, methods of sociological research (including methods of data collecting and processing) – to determine the possibilities of involving small businesses in the processes of innovative construction of campuses of educational organizations in mountainous areas (construction using information modeling technologies). Results and discussion. The authors proposed some measures for the development of infrastructure in the mountainous areas using the example of educational facilities, combining management and technological innovations: – as a management innovation it is proposed to apply the principles of forming an innovative educational environment taking into account the example of campuses for educational institutions of higher, secondary vocational (and, possibly, general secondary education in some cases and with some restrictions) within the framework of the development of a network of educational institutions in the mountainous areas of our country both at newly constructed facilities and at existing ones; – as a technological innovation, the use of building information modeling was proposed within the framework of projects for the development of educational organizations, based on the campus principle, in the mountainous areas. Conclusions. The proposed measures are aimed at solving significant problems characteristic of the mountainous territories of our country, such as reducing the outflow of young people (including for education), providing conditions for the development of human capital, developing social infrastructure and creating preconditions for increasing the investment activity and business development, as well as innovative activity of enterprises in the region, including small organizations.

Integrated representation of technical systems with BIM and linked data: TUBES system ontology

Technical systems in the Architecture, Engineering, Construction, and Operations (AECO) industry are complex interconnected structures. To cope with this high complexity, large amounts of data must be processed and exchanged throughout the whole life cycle of these systems. Building Information Modeling (BIM) and Semantic Web Technologies (SWT) offer the possibility to structure and link this data as well as to define common terminology. Semantic Web ontologies describing HVAC systems in the AECO industry have been developed, but an ontology for an integrated representation based on general system theory is missing. Therefore, this study proposes the TUBES System Ontology (TSO) as a knowledge representation for an integrated, explicit representation of linked technical systems, their hierarchical subdivision, structural and functional interconnections, and relationships to spatial entities. The contribution is validated on two example models, and the results are critically discussed, pointing out corresponding limitations as well as the need for further research.

Digital technologies for remote control and monitoring of construction works

Introduction. The construction industry in the Russian Federation has good potential for digitalization. In spite of numerous unfavorable factors, a significant number of the most progressive construction companies adopt new technologies in their work, recognizing their high potential and effectiveness. Therefore, the legalization of information modeling technologies, which has been initiated at the governmental level, has a great chance of success. Digital transformation constitutes a necessary step for the sustainable development of the economy and construction industry.Aim. To identify the advantages of using modern digital technologies in construction in order to further implement them in construction projects for automating routine processes and minimizing errors.Materials and methods. The study provides a meta-analysis of 18 domestic and foreign studies (VAK or SCOPUS publications) on the application of digital technologies in construction, as well as an effectiveness assessment of the studied technologies.Results. The advantages of unmanned aerial vehicles and mapping drones are undeniable, as well as the difficulties in using them in urban environments, especially in the centers of million cities. The main advantages of using drone technologies in construction include reception of detailed data from construction sites and their comparison with design documentation; objective monitoring of construction dynamics; a reduction in the number of occupational health and safety violations; improved quality of site monitoring and round-the-clock access to hard-to-reach areas; assessment of the scope of work performed; prompt response to deviations from design documentation and timely corrective actions; work with the BIM (Building Information Model) and digital model of the current object with the possibility of export to convenient CAD programs. The main disadvantages of using drone technology in construction are as follows: the maximum wind resistance of 15 m/s; the data obtained during rain or snowfall may be incorrect; the impossibility of automatic imaging within the project under construction.Conclusions. The Pix4D Crane Camera is currently the safest solution for capturing aerial images, with subsequent conversion to 2D and 3D.

A Brief Discussion on Sustainable Application Strategies of BIM Technology in Underground Space Development

With the acceleration of urbanization, the development of underground space has become an important way to alleviate the shortage of urban land and improve the comprehensive carrying capacity of the city. However, the development of underground space faces many challenges, such as technical difficulty, high cost and environmental impact. With its innovative application in engineering design, construction and management, building information modeling (BIM) technology provides a new solution for the efficient, safe and environmentally friendly development of underground space. The purpose of this study is to explore the application strategy of BIM technology in the development of underground space, and to analyze how it can promote the sustainability of underground space development.Firstly , this paper analyzes the current situation, challenges and the importance of sustainability of underground space development through literature review, and summarizes the development and application of BIM technology. Then, the principle and function of BIM technology are studied, and its application potential and strategy in the development of underground space are discussed. Through case analysis, the application of BIM technology in different stages of planning and design, construction management and operation and maintenance management is discussed in depth, and the application strategy and evaluation framework to promote the sustainability of underground space development are put forward. Finally, the , which provides a scientific basis for the decision-making of underground space development, and puts forward a series of practical suggestions for the application of BIM technology in underground space development. Despite the limitations of the study, such as the limited number of cases and the lack of discussion on the deep application of BIM technology, this study provides a new perspective and method for the sustainability of underground space development, which has important theoretical and practical significance for urban planners and engineering circles.

PLANNING OF CONSTRUCTION SITES USING INFORMATION TECHNOLOGIES

Planning construction sites involves determining the layout of temporary facilities on the site and significantly impacts the safety and efficiency of construction activities. However, such planning is a complex combinatorial problem that encompasses multiple objectives and becomes more challenging with an increasing number of objects and constraints on work execution conditions. To reduce the complexity of creating such solutions, the use of intelligent design systems is facilitated. The study analyzed existing information modeling technologies for finding optimal solutions based on adopted efficiency criteria and identified drawbacks in such systems. Through theoretical research, the conclusion was drawn that current information technologies for optimizing construction site planning address issues only in isolated aspects, such as minimizing the areas of administrative or storage facilities or reducing costs for unproductive resource movements.

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

The construction sector is a significant contributor to global carbon emissions and a major consumer of non-renewable resources. Architectural design decisions play a critical role in a building’s carbon footprint, making it essential to incorporate environmental analyses at various design stages. Integrating artificial intelligence (AI) and building information modeling (BIM) can support designers in achieving low-carbon architectural design. The proposed solution involves the development of a Life Cycle Assessment (LCA) tool. This study presents a novel approach to optimizing the environmental impact of architectural projects. It combines machine learning (ML), large language models (LLMs), and building information modeling (BIM) technologies. The first case studies present specific examples of tools developed for this purpose. The first case study details a machine learning-assisted tool used for estimating carbon footprints during the design phase and shows numerical carbon footprint optimization results. The second case study explores the use of LLMs, specifically ChatGPT, as virtual assistants to suggest optimizations in architectural design and shows tests on the suggestions made by the LLM. The third case study discusses integrating BIM in the form of an IFC file, carbon footprint analysis, and AI into a comprehensive 3D application, emphasizing the importance of AI in enhancing decision-making processes in architectural design.

Application of BIM Technology in Structural Design of Prefabricated Building Based on Big Data Simulation Modeling Analysis

Aiming at the complex steel bar layout problem in prefabricated building, this research proposes a structural design method of prefabricated building based on big data simulation modeling building information modeling technology. It includes the reinforcement arrangement model based on agent path planning, the intelligent reinforcement arrangement of frame based on artificial potential field method and path optimization, and the modeling of Building information modeling. When analyzing the reinforcement arrangement effect of beam column joints in Prefabricated building, the calculation time of top corner joints is the shortest, 76.8 seconds, while that of middle layer joints is the longest, 141.7 seconds. In direction Y and direction X, differential evolution has the longest calculation time, 27s and 26.57s respectively, while particle swarm optimization algorithm has the shortest calculation time, 2.84s and 3.02s respectively. The algorithm designed through research is significantly superior to other algorithms in terms of computational time. In general, through building information modeling technology and big data simulation modeling, this study realized the collision free layout of rebar in beam column joints of prefabricated building. This improves the speed and efficiency of deepening design, and provides a new solution for structural design of prefabricated building.

Application Strategy of BIM Technology in the Forward Design of Bridges

Bridge engineering is highly specialized and has spatial characteristics, which puts forward higher requirements for design work. The advancement of information technology has provided ample tools to facilitate bridge design work, with building information modeling (BIM) technology being one of them. BIM technology ensures the efficiency and quality of the forward design of bridges, while also reducing construction costs. This article starts with defining the concept of BIM technology, followed by a discussion on its advantages in bridge design and application process, which serves as a reference for other bridge designers.

ПРИМЕНЕНИЕ BIM-ТЕХНОЛОГИЙ ПРИ РЕНОВАЦИИ И РЕКОНСТРУКЦИИ ГОРОДСКИХ ТЕРРИТОРИЙ

With the development of modern digital technologies, many industries began to need the creation and development of tools for processing and systematization of information, their visual representation. In the architectural and urban planning sphere, digital technologies are reflected in the application of information modeling technologies (BIM modeling), which are effectively used in the design processes, during the construction of various facilities and their further operation. This study examines the effectiveness of the use of BIM technologies in the development of projects for the renovation and reconstruction of urbanized areas. Three-dimensional modeling of BIM technologies in renovation and reconstruction projects allows to simulate scenarios for the development of produced concepts and design solutions, assess the effectiveness of their impact on the territory, and predict their further development. Through the use of BIM technologies in renovation and reconstruction projects, it is possible to monitor the implementation of the developed solutions, monitor the current state of local facilities after their commissioning, identify and prevent the development of crisis situations. The authors have considered the definition of information modeling technology, and some basic ways of using BIM technologies are given. The main stages of work on the BIM model during renovation and reconstruction of the territory have been clarified and divided into four main stages. The first is the stage of collecting data on the existing situation; the second is the stage of building a model of the existing situation; the third is the stage of developing a project proposal for renovation and reconstruction and the forth is the stage of creating additional information models and detailed study of objects. Based on the analysis of the city of Belgorod, the need for renovation and reconstruction of the territory of the neighborhood "Savino" is justified, a project proposal for renovation and reconstruction using BIM technologies has been developed.

Numerical simulation analysis of slope stability from rainwater utilizing the Civil3D+Flac3D coupling

Building Information Modeling (BIM) technology serves as an effective means for engineering modeling and information integration, surpassing traditional two-dimensional approaches with its superior spatial analysis capabilities. While BIM has gained widespread applications in slope engineering, a gap persists in the integration between protective design and simulation analysis in terms of slope stability. This study employs literature review, theoretical analysis, software development, and numerical simulation methods to explore the application of BIM models in slope stability analysis. Through the integrated application of BIM model construction, mesh subdivision, and stability analysis, we address the deficiency in three-dimensional slope stability inherent in BIM by coupling Civil3D’s secondary development with Flac3D, a numerical simulation software. This approach not only addresses the shortcomings of numerical analysis software in constructing complex geological models but also employs a collaborative multi-software approach for comparison to validate its suitability in slope engineering. The results demonstrate that models built using BIM software are more comprehensive and possess high precision in numerical simulation, thus exhibiting significant practical value in real-world engineering applications.

Factories of the Future in Digitization of Industrial Urban Areas

This paper delves into the integration of Factories of the Future (FoF) and digital twin technologies within urban contexts, marking a significant leap in Smart Cities development. We present a thorough exploration of the principles and a scientifically grounded framework designed for seamlessly blending advanced manufacturing systems with the urban environment’s digital and physical aspects. Our detailed analysis has identified core principles crucial for this integration, focusing on interoperability, sustainability, adaptability, stakeholder collaboration, and strong data governance. We propose a structured framework that puts these principles into action, outlining strategic routes for incorporating digital twin and Building Information Modeling (BIM) technologies into FoF, establishing public-private partnerships, enhancing education and workforce development, and setting up mechanisms for ongoing evaluation and enhancement. The potential of this integration to transform urban development is vast, providing a model for boosting operational efficiency, driving economic growth, and enhancing urban livability. Although challenges exist in realizing this vision, our research offers practical insights and strategies for cities and industries to effectively navigate the complexities of the digital era. This contribution enriches the growing field of urban science, advocating for a harmonious integration of industrial production with urban development in the Smart Cities framework.

BIM-Based Digital Construction Strategies to Evaluate Carbon Emissions in Green Prefabricated Buildings

In this paper, we explore the integration of building information modeling (BIM) technology to assess carbon emissions, emphasizing the unique contributions to smart and sustainable approaches in prefabricated buildings and focusing on the application of digital construction strategies facilitated by BIM to evaluate carbon emissions in green prefabricated buildings, with a detailed case study on C-House at Southeast University, Nanjing, China. The research methodology involved creating a BIM model of C-House in Rhino and collecting data from the operationalization phase. This research work delves into analyzing the structural components, on-site assembling process, and evaluation of carbon emissions by using a BIM-based assessment, as well as the energy load and consumption of prefabricated components, including sustainable PV panels, to enhance building efficiency and sustainability. The findings uncover the life cycle of C-House, which spans seven stages, compared with the five stages of conventional builds. Currently in its third cycle, C-House exhibits significant reductions of 70.57% in carbon emissions during the second cycle and 43.53% in the first one. This highlights the pattern showing that the prolonged reuse of prefabricated buildings leads to decreasing emissions over time. Such results underscore the potential carbon emission reductions and environmental advantages of reusing green prefabricated buildings. Furthermore, this study provides insights into the entire life cycle of the building, from inception to occupation and post-phase performance evaluation. By employing BIM for modeling, simulation, and analysis, we offer practical insights into the application of smart technologies for sustainable construction practices, significantly contributing to the advancement of green and digital construction technologies.

Application of Building Information Modeling (BIM) in the Planning and Construction of a Building

This paper aims to introduce Building Information Modeling (BIM) technology into the process of construction to achieve more efficient buildings, considering sustainability, economic improvements, reduced waste, and time optimization. The study involves the design, 3D modeling, planning, and monitoring of the work to assess the advantages and limitations of BIM through a real simulation. The methodology comprises theoretical foundations, 3D modeling, budgeting, and work monitoring. The project commenced with a 2D blueprint using Autodesk AutoCAD, followed by 3D modeling in Autodesk Revit. The resultant building, serving as an information system with a database and 3D modeling, allows for automated budgeting. The advantages of BIM encompass an interface between project and program, an interface between software, realistic renderings, precise material specifications, and family modeling. Limitations include the absence of material families, reformatting of Autodesk Revit tables when transferred to the Microsoft Excel program, generic family models with distorted renderings of reality, and heavy files. Despite these limitations, the implementation of BIM in buildings proves beneficial for projects. Collaborative work among stakeholders, optimization of project stages, and the reduction of expenses and rework can be achieved.