scholarly journals Cloud BIM Technology as a Means of Collaboration and Project Integration in Smart Cities

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110332
Author(s):  
Ihuoma Onungwa ◽  
Nnezi Olugu-Uduma ◽  
Dennis R. Shelden
Keyword(s):  
Real Time ◽  
Smart City ◽  
Data Exchange ◽  
Smart Cities ◽  
Information Modeling ◽  
City Development ◽  
Digital Modeling ◽  
Project Integration ◽  
Building Information ◽  
Project Life

Building Information Modeling (BIM) was created to address the Architecture, Engineering, and Construction (AEC) industry’s lack of collaboration among consultants. Advances in cloud BIM have led to the easy exchange of data and real-time collaboration among consultants from conceptual design to the detailed construction drawing stage and through the project life cycle. This is critical in the development of smart cities. Cloud BIM also facilitates visualization of the city and data exchange for internet of things (IoT). Smart city development involves incorporating data from sensors and hardware attached to existing infrastructure. This article studies cloud BIM technology as a means of project integration in smart city development. To do this, a case study of digital modeling for the development of a smart city was done. Benefits include seamless communication, monitoring real-time progress, and visualization of files. Problems encountered include governance problems, problems preserving work sets, the integrity of drawings, and difficulty specifying coordinates on-site.

scholarly journals Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique

2021 ◽  
Vol 13 (10) ◽  
pp. 1889
Author(s):  
Junxiang Zhu ◽  
Peng Wu
Keyword(s):  
Computer Graphics ◽  
Smart City ◽  
Smart Cities ◽  
Information Modeling ◽  
Data Conversion ◽  
Geography Markup Language ◽  
Building Models ◽  
Digital Twins ◽  
Gis Data ◽  
Building Information

The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM-to-GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC-to-shapefile conversion is easier and more flexible to realize than the IFC-to-CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM-to-GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth.

Cloud-Based Big Data Analysis Tools and Techniques Towards Sustainable Smart City Services

2021 ◽  
pp. 63-90
Author(s):  
Suresh P. ◽  
Keerthika P. ◽  
Sathiyamoorthi V. ◽  
Logeswaran K. ◽  
Manjula Devi R. ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Smart City ◽  
Traffic Management ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Streaming Data ◽  
City Development ◽  
Time Data ◽  
Public And Private

Cloud computing and big data analytics are the key parts of smart city development that can create reliable, secure, healthier, more informed communities while producing tremendous data to the public and private sectors. Since the various sectors of smart cities generate enormous amounts of streaming data from sensors and other devices, storing and analyzing this huge real-time data typically entail significant computing capacity. Most smart city solutions use a combination of core technologies such as computing, storage, databases, data warehouses, and advanced technologies such as analytics on big data, real-time streaming data, artificial intelligence, machine learning, and the internet of things (IoT). This chapter presents a theoretical and experimental perspective on the smart city services such as smart healthcare, water management, education, transportation and traffic management, and smart grid that are offered using big data management and cloud-based analytics services.

scholarly journals Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment

Buildings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 151
Author(s):  
Samad M. E. Sepasgozar
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Industry 4.0 ◽  
Construction Projects ◽  
Data Exchange ◽  
Smart Cities ◽  
Information Modeling ◽  
Digital Data ◽  
Digital Twin ◽  
Industrial Sectors

Construction projects and cities account for over 50% of carbon emissions and energy consumption. Industry 4.0 and digital transformation may increase productivity and reduce energy consumption. A digital twin (DT) is a key enabler in implementing Industry 4.0 in the areas of construction and smart cities. It is an emerging technology that connects different objects by utilising the advanced Internet of Things (IoT). As a technology, it is in high demand in various industries, and its literature is growing exponentially. Previous digital modeling practices, the use of data acquisition tools, human–computer–machine interfaces, programmable cities, and infrastructure, as well as Building Information Modeling (BIM), have provided digital data for construction, monitoring, or controlling physical objects. However, a DT is supposed to offer much more than digital representation. Characteristics such as bi-directional data exchange and real-time self-management (e.g., self-awareness or self-optimisation) distinguish a DT from other information modeling systems. The need to develop and implement DT is rising because it could be a core technology in many industrial sectors post-COVID-19. This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems. It also intends to review the state of play in DT development and offer research directions for future investigation. It recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19. The discussion in this paper mainly focuses on the Smart City, Engineering and Construction (SCEC) sectors.

Urban Health: A New Level of Smart City Development

2019 ◽  
pp. 6-11 ◽  
Keyword(s):  
Urban Health ◽  
Smart City ◽  
Academic Community ◽  
Information Modeling ◽  
City Development ◽  
General Logic ◽  
Wide Range ◽  
Building Systems ◽  
Building Information ◽  
First Time

Currently, the innovation agenda of the industry professional and academic community in the information and conceptual plans is largely filled with topics related to Building Information Modeling (BIM) technologies. In this sense, often, in a different context, we are talking about several new "digital" subject areas for the qualitative development of creation technologies, united by the new convergent paradigm "Smart City". For the first time, the general logic of convergent modeling of the "Smart City" is presented, the key target priority of which is the new socio-technological paradigm "Urban Health" at the level of relationships between the entity models "Smart City" and the results of their convergence. At the same time, it is shown that practical problems at the functional level of designing building systems today are solved, as a rule, using a wide range of modern automation technologies, and solving problems at the cognitive level of the complex effects of creative activity requires the use of technologies and techniques with elements of artificial intelligence.

Total Quality Management in Smart City Development

2019 ◽  
pp. 296-317
Author(s):  
Oluwayomi Kayode Babatunde
Keyword(s):  
Value Chain ◽  
Smart City ◽  
Quality Function Deployment ◽  
Smart Cities ◽  
Open Loop ◽  
Future Research ◽  
Total Quality ◽  
City Development ◽  
Integrative Framework ◽  
Building Information

Wastes and pollution are associated with an uncoordinated urbanization trend. This exploratory study investigates total quality management's (TQM) role in smart city development. It delineates smart cities and its conjoined relationship with digital cities. It submits to the complementary relationship between TQM and quality function deployment (QFD) and highlights stakeholder engagement as central to smart city development strategy, underpinned by social theory. It distils that stakeholders and built environment professionals need to work collaboratively to maximize the benefit of smart cities as being an innovation value chain, leading to the use of IT-enabled platform such as building information modelling (BIM). This culminates in the design of an integrative framework with ICT (focusing on BIM) and TQM serving as the information architecture and the ideological premise respectively. It then presents the close-loop (front-end) and open-loop (back-end) approaches to smart city development, discusses future research directions and concludes with implications.

Smart City Service

2021 ◽  
pp. 228-256
Author(s):  
Gang Yu ◽  
Min Hu ◽  
Zhenyu Dai ◽  
Wei Ding ◽  
Ying Chang ◽  
...  
Keyword(s):  
Smart City ◽  
Large Scale ◽  
Smart Cities ◽  
Rapid Development ◽  
Urban Infrastructure ◽  
Information Modeling ◽  
Management Level ◽  
The Public ◽  
M Phase ◽  
Building Information

Urban infrastructure, a crucial part of the city, is being developed on a large scale under the rapid development of smart cities. The operation and maintenance (O&M) phase is increasingly complex, and the information to be processed is cumulatively massive. So, the significance of urban infrastructure O&M is gradually being realized by the public. Recently, research in Building Lifecycle Management (BLM) and Building Information Modeling (BIM) has partly improved technological innovation and management level of urban infrastructures O&M. However, there are still deficiencies in the research of BIM, VR/AR, internet of things, pervasive computing, big data, and other emerging technologies applied in urban infrastructure O&M, as well as the realization of intelligent service functions. Therefore, based on existing research and oriented to the development need of smart city, this chapter takes “intelligent service for urban infrastructure under the concept of lifecycle” as core to conduct a discussion on how to solve practical problems in the urban infrastructure O&M.

Total Quality Management in Smart City Development

2018 ◽  
pp. 1404-1425 ◽  
Author(s):  
Oluwayomi Kayode Babatunde
Keyword(s):  
Value Chain ◽  
Smart City ◽  
Quality Function Deployment ◽  
Smart Cities ◽  
Open Loop ◽  
Future Research ◽  
Total Quality ◽  
City Development ◽  
Integrative Framework ◽  
Building Information

Wastes and pollution are associated with an uncoordinated urbanization trend. This exploratory study investigates total quality management's (TQM) role in smart city development. It delineates smart cities and its conjoined relationship with digital cities. It submits to the complementary relationship between TQM and quality function deployment (QFD) and highlights stakeholder engagement as central to smart city development strategy, underpinned by social theory. It distils that stakeholders and built environment professionals need to work collaboratively to maximize the benefit of smart cities as being an innovation value chain, leading to the use of IT-enabled platform such as building information modelling (BIM). This culminates in the design of an integrative framework with ICT (focusing on BIM) and TQM serving as the information architecture and the ideological premise respectively. It then presents the close-loop (front-end) and open-loop (back-end) approaches to smart city development, discusses future research directions and concludes with implications.

Total Quality Management in Smart City Development

2016 ◽  
pp. 288-316
Author(s):  
Oluwayomi Kayode Babatunde
Keyword(s):  
Value Chain ◽  
Smart City ◽  
Quality Function Deployment ◽  
Smart Cities ◽  
Open Loop ◽  
Future Research ◽  
Total Quality ◽  
City Development ◽  
Integrative Framework ◽  
Building Information

Wastes and pollution are associated with an uncoordinated urbanization trend. This exploratory study investigates total quality management's (TQM) role in smart city development. It delineates smart cities and its conjoined relationship with digital cities. It submits to the complementary relationship between TQM and quality function deployment (QFD) and highlights stakeholder engagement as central to smart city development strategy, underpinned by social theory. It distils that stakeholders and built environment professionals need to work collaboratively to maximize the benefit of smart cities as being an innovation value chain, leading to the use of IT-enabled platform such as building information modelling (BIM). This culminates in the design of an integrative framework with ICT (focusing on BIM) and TQM serving as the information architecture and the ideological premise respectively. It then presents the close-loop (front-end) and open-loop (back-end) approaches to smart city development, discusses future research directions and concludes with implications.

scholarly journals THE SIXTH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS: PREFACE

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 1-6
Author(s):  
I. R. Karas ◽  
M. Ben Ahmed ◽  
A. A. Boudhir ◽  
B. K. Ane
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Location Based Services ◽  
Learning System ◽  
Information Modeling ◽  
Good Opportunity ◽  
International Conference ◽  
Research Areas ◽  
Smart Healthcare ◽  
Building Information

Abstract. This Conference Proceedings volume contains the written versions of the contributions presented during the 6th International Conference on Smart City Applications.The event had been planned to organized in Safranbolu Campus of Karabuk University, Turkey. Then, it has been converted to the online conference because of the Covid-19 situation. It took place with the motto of “Virtual Safranbolu” by inspiring historical UNESCO Heritage city Safranbolu, on October 27–29, 2021. The conference provided a setting for discussing recent developments in a wide variety of topics including Geo-Smart Information Systems, Smart Cities, 3D City Modeling and Visualization, Smart Building and Home Automation, Smart Environment and Smart Agriculture, Location Based Services, GeoInformation for Mobile, Wearable Technologies and Wireless Sensor Networks, Building Information Modeling, Virtual and Augmented Reality, Big Data and Urban Data Analytics, Smart Healthcare, Smart Economy and Digital Business, Smart Education and Intelligent Learning System, and etc.The event has been a good opportunity for the more than 400 participants coming from 43 countries of the world to present and discuss topics in their respective research areas. In addition, five keynote speakers presented latest achievements on their fields; Domingos Santos “Smart Cities Strategies: Critical Sucess Factors”, Mohsen Kalantari Soltanieh “Smart buildings to Smart cities – The role of BIM and GIS integration”, Ksentini Adlen, “Zero Touch Management and Orchestration of Network Slices in 5G and Beyond Networks”, Bakr M.Aly Ahmed, “Smart Sustainable Urbanism”, Yusuf Arayıcı, “Design for Energy:Prosumer Buildings”.The 86 papers that were selected as a result of review process and presented during the conference were accepted for the final publication in the ISPRS Archives.We would like to thank all participants, organizing and scientific committee members, and session chairs for their contributions to the conference program and these Proceedings.

scholarly journals Development of Driving Simulation Scenarios Based on Building Information Modeling (BIM) for Road Safety Analysis

2021 ◽  
Vol 13 (4) ◽  
pp. 2039
Author(s):  
Juan F. Dols ◽  
Jaime Molina ◽  
F. Javier Camacho-Torregrosa ◽  
David Llopis-Castelló ◽  
Alfredo García
Keyword(s):  
Road Safety ◽  
Data Exchange ◽  
Building Information Modeling ◽  
Cost Savings ◽  
Safety Analysis ◽  
Information Modeling ◽  
Driving Simulators ◽  
The Road ◽  
Road Design ◽  
Building Information

The analysis of road safety is critical in road design. Complying to guidelines is not enough to ensure the highest safety levels, so many of them encourage designers to virtually recreate and test their roads, benefitting from the evolution of driving simulators in recent years. However, an accurate recreation of the road and its environment represents a real bottleneck in the process. A very important limitation lies in the diversity of input data, from different sources and requiring specific adaptations for every single simulator. This paper aims at showing a framework for recreating faster virtual scenarios by using an Industry Foundation Classes (IFC)-based file. This methodology was compared to two other conventional methods for developing driving scenarios. The main outcome of this study has demonstrated that with a data exchange file in IFC format, virtual scenarios can be faster designed to carry out safety audits with driving simulators. As a result, the editing, programming, and processing times were substantially reduced using the proposed IFC exchange file format through a BIM (Building Information Modeling) model. This methodology facilitates cost-savings, execution, and optimization resources in road safety analysis.

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