Integration Of BIM Research Articles

State-of-the-art review on the integration of BIM with pavement management systems

State-of-the-art review on the integration of BIM with pavement management systems

Identifying the Internet of Things (IoT) implementation benefits for sustainable construction project

ABSTRACT Understanding the implementation of the Internet of Things (IoT) in sustainable construction projects. Implementing the IoT in sustainable construction schemes can offer many benefits, including resource management, remote control and monitoring, improving safety, optimizing building performance and data-driven decision-making. This research presents a unique effort to enhance our comprehension of IoT implementation in such projects. We analyzed 55 studies using a systematic approach to literature selection and filtration, using theoretical models for Internet of Things (IoT) implementation to study the sustainability of construction industries. The results revealed that monitoring constituted 9 (16.4%), machine/equipment control 2 (3.6%), safety in construction 5 (9.1%), water management 4 (7.3%), 4IR 2 (3.6%), BIM 5 (9.1%), green IoT 5 (9.1%), prefabricated design 2 (3.6%), IoT adoption level 6 (10.9%), and other aspects accounted for 15 (27.3%). The primary areas of IoT application in the construction industry include BIM, remote application monitoring, construction management, repair and equipment services, construction implements, and tracking equipment. Notably, there is a lack of research awareness regarding the potential integration of IoT and BIM by construction companies. Despite numerous studies on IoT adoption, limited literature addresses the challenges and awareness of how IoT tools impact implementation in the building industry. Our review proposes a framework for implementing sustainable construction projects to address this gap. However, further investigation is required to analyze potential security threats associated with IoT in a smart city setting, explore promising countermeasures, and delve into open research issues.

Yapı Üretim Süreçlerinde BIM ve VR Uygulamalarının Entegrasyonunun Değerlendirilmesi

İnşaat sektörü yeniliğe ve değişikliklere açık bir sektördür. Yapı üretim süreçlerine entegre olabilecek birçok enformasyon teknolojisi geliştirilmiş, yapı üretim süreçlerinin daha hızlı, sistematik ve kontrollü olarak yürütülmesi amaçlanmıştır. Bu bağlamda yapı üretim süreçlerinde kullanılan enformasyon teknolojilerinden Yapı Bilgi Modelleme (BIM) ve Sanal Gerçeklik (VR) teknolojileri yaygın olarak karşımıza çıkmaktadır. BIM süreçleriyle ve VR araçlarıyla yürütülen entegre projelerde yapı üretim süreçlerinde pek çok kolaylık sağlanmaktadır. Çalışmada yapı üretim süreçlerinde BIM ve VR entegrasyonunun kullanımının amaçlarını, güçlü ve zayıf yanlarını tespit etmek ve potansiyel tehdit ve fırsatlar bağlamında bir değerlendirme yapmak amaçlanmıştır. Bu bağlamda literatür taraması ve kullanıcı deneyimlerinin baz alındığı firma araştırması yapılmıştır.

Research on the Integration of BIM and GIS in Smart Campus Environments

Research on the Integration of BIM and GIS in Smart Campus Environments

Integration of BIM and GIS Data of a Heritage Building Using FME

BIM and GIS technologies are used in both planning and investment and construction processes. GIS is more often used in the former, where one operates on a macro scale and information about the environment is essential for decision-making. BIM, on the other hand, is increasingly implemented in investment and construction processes (micro scale). The BIM model as a resource of knowledge and information about the construction object is the basis for decision-making, while data from GIS systems are necessary to obtain reliable information about the environment and the prevailing spatial, social or economic conditions. The basic information from GIS systems are attributes related to geographic location (coordinate system, angle to true north, elevation ordinate). Unfortunately, both technologies use different programming paradigms. GIS is mainly a relational database based on multidimensional tables, while BIM uses so-called encapsulation, polyform, hierarchy or instantiation, which enrich semantically stored data. There are many benefits to integrating geospatial data with building object information. The problem of compatibility and interoperability of the two technologies is the subject of many considerations of basic science and the problem of practitioners during application work. Georeferencing of BIM models is conferred in several ways, however, most of them require relatively expensive commercial tools or extensive digital skills or even programming. Rarely, however, are tools such as FME used for data conversion, management and visualization. Thus, the purpose of the present work was to attempt to properly georeference a BIM model of a historic building, located at Constitution Square in Warsaw, in a GIS environment, and then convert the data to shapefile output format using FME software. The results of the experimental work indicate that the BIM data can be embedded quite accurately in the space of a given coordinate system and displayed against various contextual data, but the 3D geometry itself loses its detail and quality. The paper discusses the limitations of the procedure and future research directions.

An ontology for automated fault detection & diagnostics of HVAC using BIM and machine learning concepts

This paper presents an ontology for AFDD (Automated Fault Detection and Diagnostics) of HVAC (Heating, Ventilation, and Air conditioning) systems in buildings called “AFDDOnto”. Presently, the AFDD models are mainly data-centric and often lack semantic information such as contextual information and spatial information; additionally, configuration information, analysis, and results used for model development are lost once developed. This impedes an effective mechanism for tracking changes and updating the model for future developments and use cases. The Proposed ontology can be used for AFDD model development, tracking changes, analytics, visualization, and digital twinning by enabling integration of BIM with BAS/BMS (Building Automation System/Building Management System) concepts and secondly to store AFDD configuration and analytics in the AFDDOnto. Select competency questions are constructed using SPARQL queries to access the proposed knowledge model. The proposed ontology has been tested against different measures using multiple metrics and a case study and further validated using a semi-structured survey of experts. Applied AI engineers, Facility managers, Asset managers, and building owners aiming to develop AFDD models for HVAC systems can benefit from adopting this ontology for HVAC maintenance, including analysis, model development, and knowledge management.

BIM-enabled built-asset information management conceptual framework: A case of public university buildings in Addis Ababa, Ethiopia

The integration of BIM with other digital advancements has demonstrably led to an increase of performance in the Architecture, Engineering, Construction and Operation (AECO) industry. This integration not only is showing promising results in boosting the industry's performance, but also the productivity and promotes data-driven decision-making. Despite these benefits, there are limited studies that address the integration of BIM and digital data for managing built-assets in general and in developing countries in particular. To fill this gap, a closer assessment of current built-asset information management practice is necessary. The assessment of the practice examines how digital processes and/or technology can be seamlessly integrated into existing practices. In this regard, this study aims to provide valuable insights into increasing the maturity of built-asset information management by integrating digital data with BIM. The study uses a case-based research design using built-assets (universities in Addis Ababa) as public building representative to capture the prevailing information management practices in Ethiopian public buildings. The findings reveal that traditional paper-based practices still dominate the management of built-assets. This leads to difficulties in terms of data loss, unavailability, inaccuracy, and unreliability, all of which are detrimental to the overall performance. Based on these findings, a conceptual framework is designed to improve the performance of built-assets and help owners, end-users, and managers in defining data and information requirements for BIM-enabled asset information management. The framework delineates processes for structured information requirements definition and validation of various asset data from varying sources. The framework utilizes a BIM-enabled platform as a single source of truth and offers a comprehensive solution to the identified challenges. The findings of this study holds significant promise for improving the existing practice of built-asset information management within the study context.

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

The recent rise in the applications of advanced technologies in the sustainable design and construction of transportation infrastructure demands an appropriate medium for their integration and utilization. The relatively new concept of Civil Integrated Management (CIM) is such a medium; it enhances the development of digital twins for infrastructure and also embodies various practices and tools, including the collection, organization, and data-management techniques of digital data for transportation infrastructure projects. This paper presents a comprehensive analysis of advanced CIM tools and technologies and categorizes its findings into the following research topics: application of advanced surveying methods (Advanced Surveying); geospatial analysis tools for project planning (Geospatial Analysis); multidimensional virtual design models (nD Modeling); Integrated Geospatial and Building Information Modeling (GeoBIM); and transportation infrastructure maintenance and rehabilitation planning (Asset Management). Despite challenges such as modeling complexity, technology investment, and data security, the integration of GIS, BIM, and artificial intelligence within asset-management systems hold the potential to improve infrastructure’s structural integrity and long-term performance through automated monitoring, analysis, and predictive maintenance during its lifetime.

A user-centric analysis and survey-based approach for early design decision-making criteria of the ‘Symbiotic Data Platform’: Integration of BIM with IoT for occupants’ thermal comfort

A user-centric analysis and survey-based approach for early design decision-making criteria of the ‘Symbiotic Data Platform’: Integration of BIM with IoT for occupants’ thermal comfort

Developing Digital Interactive Exploration of Historical Places with Blending BIM and Virtual Reality

The advancement of technology has opened new possibilities for exploring and experiencing historical places. This research aims to develop a digital interactive exploration platform that blends BIM and VR to provide an immersive and informative experience of historical sites. The study focuses on Candi Kidal, located in Kecamatan Tumpang, Kabupaten Malang, as the primary study area. The proposed method involves the integration of BIM and VR technologies to create a detailed and interactive virtual representation of Candi Kidal. The BIM models are the foundation for capturing and integrating various data sources. These models are then transformed into a VR environment, allowing users to explore the site virtually, interact with objects, and access relevant historical information. Data collection methods include site surveys, and historical research in the field. The BIM models are developed using software tools such as Autodesk Revit, while the VR environment is created using platforms like Unity3D. The development of the digital interactive exploration platform involves programming and scripting languages such as C#. The results demonstrate the effectiveness of developed platform in providing an immersive and informative experience for Candi Kidal. Users can navigate the virtual environment, view detailed architectural elements, and access historical information through interactive interfaces. The significance of this research lies in its potential to enhance the preservation, promotion, and accessibility of historical places. By blending BIM and VR technologies, the digital interactive exploration platform offers a unique and engaging experience that can attract a wider audience and foster a deeper understanding of cultural heritage.

Integration of BIM and design for deconstruction to improve circular economy of buildings

Faced with the environmental impacts caused by civil construction, including the large consumption of resources and waste generation, the reuse of materials and construction elements in project's early stage is considered as a possible solution in this research, which draws on theoretical reference of Open Building and Circular Economy. In this way, integrated to these approaches, the concept of Design for Deconstruction (DfD) for the design of buildings addresses the elaboration of the project with the final objective of dismantling buildings, in a partial or total way, allowing and increasing material recycling and mainly the reuse of constructive elements in the circular construction chain. However, despite the knowledge developed about DfD, the application of this concept is still incipient and the deconstruction practice remains unsatisfactory and still can be improved in many ways. The operationalization DfD in a BIM environment has the benefit of supporting the design process and subsequent deconstruction management. In this regard, the aim of this study is to propose a solution to expand the practice of deconstruction through the use of a BIM tool in buildings design, implemented in Autodesk Revit using Dynamo. To validate the artefact, a case study was conducted.

Construction Progress Monitoring through the Integration of 4D BIM and SLAM-Based Mapping Devices

In the architecture, engineering and construction industry, site management during construction is a key phase. Scheduling activities and monitoring their progress allow any deviations from the schedule to be identified so that timely action can be taken. Until now, the monitoring phase has mainly been characterised by inspections in which the construction site manager manually collects data and produces a summary report. This proves to be a time-consuming process and is prone to errors. The authors propose an innovative construction progress monitoring method that combines BIM-based construction scheduling (4D BIM) with periodic geometric surveying using an indoor mobile mapping system (iMMS). Ten surveys were carried out on a real case study, producing point clouds to be compared with the 4D BIM, thereby comparing the as-built with the as-planned. The comparison was carried out using Sitemotion exploiting a custom class, the work breakdown structure (WBS), added to the BIM to associate each element with its scheduled construction date. The results show how the proposed method can effectively support the evaluation of construction progress, allowing the monitoring to be performed digitally and linked to the BIM. The paper details the proposed methodology, highlighting the problems encountered and suggesting adjustments for future implementation.

Framework for Heterogeneous Sensor Data Stream Management with BIM and WSN

By the 2010s, BIM is highly popular research area that gathers researchers from various domains. We tackle the major challenge of BIM and the main barrier for the application of BIM in smart environments: integration of BIM and wireless sensor networks. Existing studies in the literature have various dependencies and propose limited solutions. These solutions are dedicated to specific applications and domains. However, it is highly required to have a generic solution for real time indoor and outdoor environmental monitoring with full integration with the digital model of the building. To fulfill this need, in this study, we propose a novel approach to monitor and fulfill user requirements by a numerical model of the building, a novel framework and a BIM-WSN integrated architecture based on the BIM principles for smart building environments. All the experiments are performed on a real testbed, physical sensor devices deployed on the classrooms of the university building. Such numerical model presents the digital model of the environment by gathering acquired data. Besides, data is gathered on a big data platform where it may be served to various other applications such as machine learning studies.

An ontology-based methodology to establish city information model of digital twin city by merging BIM, GIS and IoT

With the development of digital city and smart city construction, the City Information Model (CIM) has played a critical role as a container of spatial–temporal data to establish the Digital Twin City. For a digital twin city, a virtual high-fidelity CIM model that corresponds closely to the real physical world is the premise and cornerstone of its construction. Therefore, the integration of BIM, GIS and IoT has become the preferred topic for researchers and has received much more attention from a wide academic circle. However, traditional integration mainly focuses on the conversion of both IFC and CityGML, and IoT data are also often used as visualizations. More importantly, the underlying data formats of GIS, BIM and IoT are still independent of each other without a unified data structure expression, so real data-driven analysis and decision-making cannot be implemented. This study aims to establish a general CIM ontology to integrate heterogeneous BIM, GIS and IoT data. First, the related work of BIM, GIS and IoT integration is studied and analyzed. A comparison of three mainstream approaches, data conversion, standard extension and data linking, is conducted, and it illustrates the advantages of ontology techniques in solving data interoperability problems. Second, a technical framework of BIM, GIS and IoT data integration based on ontology technology is proposed. The approach is mainly divided into five steps: geometry processing, data instantiation, ontology construction, ontology mapping and querying application. On the basis of the CIM ontology, an application ontology is built for a specific application domain to illustrate rule-based mapping, querying and inferring. Finally, the case study shows that the Ontology-based methodology in this paper has contributed to establish a general pattern for CIM data integration by mapping and linking concepts from the semantic level. It avoids changes in the original data sources and the missing data problem.

Methodology for retrofitting energy in existing office buildings using building information modelling programs

Retrofitting existing buildings to raise energy efficiency is a highly important requirement, Because the problem of climate change has made the concept energy-saving an increasingly popular concept as a solution to this problem. Most of existing buildings are not sustainable and here is the problem, constructing new buildings are not Just enough to be energy efficient. Existing buildings consume approximately 60 % of global energy consumption. It’s easy to achieve low energy consumption through retrofits of existing buildings, The problem is to find such a program that helps in drawing, imagining, simulating, analyzing and documenting projects in a more accurate and easy way and in a short time, so the aim of this research is to develop a framework for the integration of BIM and retrofitting categories, This will be achieved by combining the most effective strategies of deep retrofitting that has resulted in annual energy consumption reduction by 68%. Suez Canal university office building was chosen as a case study. We noticed that using Revit program is easier and faster than the DesignBuilder program in simulating energy, but the Revit program needs to be developed. The retrofitting solutions proposed in this study can be used to achieve certification of LEED.

Structural Health Monitoring and Management of Cultural Heritage Structures: A State-of-the-Art Review

In recent decades, the urgency to protect and upgrade cultural heritage structures (CHS) has become of primary importance due to their unique value and potential areas of impact (economic, social, cultural, and environmental). Structural health monitoring (SHM) and the management of CHS are emerging as decisive safeguard measures aimed at assessing the actual state of the conservation and integrity of the structure. Moreover, the data collected from SHM are essential to plan cost-effective and sustainable maintenance solutions, in compliance with the basic preservation principles for historic buildings, such as minimum intervention. It is evident that, compared to new buildings, the application of SHM to CHS is even more challenging because of the uniqueness of each monitored structure and the need to respect its architectural and historical value. This paper aims to present a state-of-the-art evaluation of the current traditional and innovative SHM techniques adopted for CHS and to identify future research trends. First, a general introduction regarding the use of monitoring strategies and technologies for CHS is presented. Next, various traditional SHM techniques currently used in CHS are described. Then, attention is focused on the most recent technologies, such as fibre optic sensors and smart-sensing materials. Finally, an overview of innovative methods and tools for managing and analysing SHM data, including IoT-SHM systems and the integration of BIM in heritage structures, is provided.

Web-Based Management of Public Buildings: A Workflow Based on Integration of BIM and IoT Sensors with a Web–GIS Portal

In this paper, we present the final results from the research project “Urban Abacus of Building Energy Performances (Abaco Urbano Energeticodegli Edifci–AUREE)” aimed at supporting the renovation process and energy efficiency enhancement of urban building stocks. The crux of the AUREE project is a Web–GIS GeoBlog portal with customized semantic dashboards aimed at sharing information on an urban built environment and promoting the participation of local stakeholders in its improvement. As the latest development of this research, a workflow that integrates the AUREE portal with BIM authoring and an open-source IoT platform is implemented and applied to an experimental case study concerning a public building in Carbonia (Italy). The headquarters of the Sotacarbo Sustainable Energy Research Center was selected as the case study. The presented results proved that it was possible to create a valid open system, which was accessible to both specialist and unskilled users, and aimed at guiding, through a progressive knowledge deepening, common end-users toward proper conscious “energy behaviors” as well as public administrations and decision-makers toward sustainable facility management. Later, the proposed open system could also be suitable to be used as an effective tool to support the rising “energy communities”.

NSGA-II based optimal Wi-Fi access point placement for indoor positioning: A BIM-based RSS prediction

One of the most basic systems required in smart cities are indoor positioning systems that allow positioning of people and objects inside buildings to provide them with suitable location-based services. Due to the existence of Wi-Fi technology infrastructure in most buildings and the fact that most mobile devices are equipped with this technology, indoor positioning systems based on Wi-Fi technology and fingerprinting method are quite popular. Therefore, the optimal placement of Wi-Fi Access Points (APs) is important to maximize the accuracy of indoor positioning. This paper presents a method to generate virtual fingerprints inside buildings by predicting Wi-Fi RSS values using integration of BIM and signal propagation models. The proposed method allows the optimization of the spatial distribution and number of Wi-Fi APs. The experiments reveal improvement in signal propagation modelling to measure RSS, efficient RSS fingerprinting-based IPS in the offline phase, decrease in the number of measurement efforts, and optimization of the spatial distribution of Wi-Fi APs, that finally was resulted in high overall accuracy of the indoor positioning.

Integrating BIM and Blockchain across construction lifecycle and supply chains

The Construction industry has a complex structure with multiple parties involved, which often leads to “adversarial relationships”, “risk avoidance”, and a “lack of trust” among the different actors. This culture is further compounded by a “linear workflow” that often results in low efficiency, delays, rework and unnecessary waste. Blockchain technology can help to mitigate these issues by creating a decentralised and transparent system, where all the actors can have access to a shared database, it allows tracking and monitors the different stages of the project, and even automate some processes increasing efficiency and reducing delays and rework.This study highlights the advantages of Blockchain technology, particularly how it can provide a single source of truth for project data while allowing multiple parties to access and share data in a secure and transparent way, improving the workflow of BIM projects and decreasing the likelihood of errors, mistakes, or fraudulent activities. The paper explores the integration of BIM and Blockchain across life cycle and supply chains based on the RIBA plan of work, with the objective to streamline collaboration while improving process efficiency and resource traceability in projects. The study proposes a roadmap performing a detailed literature survey for Blockchain adoption in the construction industry, and validated on a real-world Bridge project. Furthermore, this study is innovative since it examines the integration of BIM and Blockchain throughout the entire project lifecycle by simulating the smart contract implementation based on the RIBA plan of work, thus providing an in-depth examination of the potential benefits of this integration.

BIM and lean construction in prefabricated housing construction in China

PurposeBuilding information modelling (BIM), lean construction (LC) and prefabricated housing construction (PHC) have individually aroused great attention from academia and industry. However, the integration of LC and BIM in PHC projects has not been sufficiently explored. This study aims to assess the current status of the implementation of BIM and LC in China’s PHC sector given, firstly, that China is a developing country characterised by the world’s largest population and a huge housing market, and secondly, that although China’s PHC is strongly supported by the government, the adoption of BIM and LC in PHC varies.Design/methodology/approachA mixed approach (questionnaire survey and interviews) is adopted in this study. A total of 127 valid questionnaires were collected. This is followed by interviewing 12 interviewees who are key stakeholders in PHC and hold managerial positions.FindingsThe findings of the questionnaire survey show that BIM is more prevalent than LC in PHC projects in China. In addition, the adoption of LC exhibits more maturity in stages associated with production and manufacturing, and logistics and transportation, whereas BIM has seen wider adoption in design and construction. The interviews validated the factors that influence the implementation of BIM and LC in PHC projects in China.Originality/valueThe study uses a strengths, weaknesses, opportunities and threats analysis framework to clarify the opportunities, threats, strengths and weaknesses of BIM and LC in China’s PHC and proposes strategies.