Respirable Dust Monitoring in Construction Sites and Visualization in Building Information Modeling Using Real-time Sensor Data

AbstractThe construction industry is multidisciplinary in nature and various operations are executed at the same time. One of the major resources for executing construction operations is the human workforce. Management of this workforce with effective safety provisions is a prime factor for reducing accidents on construction sites. Nowadays, technologies such as Building Information Modeling (BIM) offer the potential to manage safety on-site with their automatic safety checking capability. BIM is a model-based smart nD platform that offers tools for architecture, engineering, and construction proficients to plan, design, and manage construction activities more efficiently. Despite its growing use globally, BIM has not been adopted sufficiently in the Indian construction industry. This paper presents a bibliometric analysis of the adoption of BIM in the global construction and the Indian construction industry. It also reviews the adoption of BIM for safety in the global and Indian construction industry. The bibliometric analysis is carried out in two phases, at first it reviews the adoption of BIM globally, and limits the findings to cover BIM adoption in the Indian construction industry. Secondly, it reviews the adoption of BIM for safety in global construction and limits the findings to cover BIM adoption for safety in India. Various complementary tools such as VOSviewer, iMapbuilder have been used for data analysis. The research highlights the need for BIM in India particularly for safety on construction sites.

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Generating NURBS cladding and structures with parametric programming and BIM

PARC Pesquisa em Arquitetura e Construção ◽

10.20396/parc.v11i0.8657350 ◽

2020 ◽

Vol 11 ◽

pp. e020016

Author(s):

Neander Furtado Silva ◽

Lilian Maciel Furtado Silva ◽

Ígor Lacroix

Keyword(s):

Real Time ◽

Building Information Modeling ◽

Parametric Programming ◽

Information Modeling ◽

Curved Surfaces ◽

Curved Beams ◽

Building Information ◽

Nurbs Surfaces ◽

New Algorithms ◽

Supporting Structures

The process of designing and building curvilinear architectures is still challenging. The use of multiple applications with distinctive design paradigms are unlikely to disappear. The interoperability used here was not only the conventional one. It was also ‘live’, in ‘real time’, with two of the applications involved opened and running simultaneously. A design workflow based on the use of form-forming applications connected via parametric programming to building information modeling, BIM, was proposed. The main objective was to facilitate designing and building curvilinear architectures and their supporting structures using simultaneously two different design paradigms. The tools needed in our research can be summarized as follows: NURBS Lofting for surface creation, contouring for modular slicing and structural axis grid definition, sweeping along axes for surface creation of the curved beams of I profile and paneling for the subdivision of curved surfaces into planar fractions. Parametric programming was used to automate sweeping along axes to generating curved I-beams and paneling to subdivide the NURBS surfaces into planar fractions. To the best of our knowledge, our major contribution resides in defining a workflow and developing new algorithms for facilitating designing NURBS surfaces and corresponding supporting structures through ‘live’ interoperability among different applications.

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Building information modeling–based cyber-physical platform for building performance monitoring

International Journal of Distributed Sensor Networks ◽

10.1177/1550147720908170 ◽

2020 ◽

Vol 16 (2) ◽

pp. 155014772090817 ◽

Cited By ~ 2

Author(s):

Yun-Yi Zhang ◽

Kai Kang ◽

Jia-Rui Lin ◽

Jian-Ping Zhang ◽

Yi Zhang

Keyword(s):

Performance Management ◽

Performance Monitoring ◽

Building Information Modeling ◽

Heterogeneous Data ◽

Information Modeling ◽

Sensor Data ◽

Building Performance ◽

Data Interoperability ◽

Nosql Database ◽

Building Information

Building performance management requires massive data input; however, the relevant data are separated and heterogeneous; thus, it prevents a comprehensive building performance management. Building information modeling brings a new way to capture rich information of a building, and has great potential in data interoperability for building performance management. This article presents a scalable building information modeling–based cyber-physical platform for building performance monitoring to integrate heterogeneous data from different buildings. A smart sensor network based on Arduino and standard protocol is installed for data sensing and collection. A building information modeling–based sensing information model integrating heterogeneous data in a unified structure is proposed, and a scalable NoSQL database is established to store data in a cloud environment. A series of RESTful web services is developed to share data for building performance management applications. The proposed platform is developed taking the advantage of horizontal scalability of NoSQL database, and the data schema and services are generated automatically based on the unified data model. The platform has collected data from 77 buildings in China, and the results of a case study show the platform brings a new paradigm in collecting, storing, integrating, and sharing of sensor data and building information for building performance monitoring and analytics.

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Extending BIM Interoperability for Real-Time Concrete Formwork Process Monitoring

Applied Sciences ◽

10.3390/app10031085 ◽

2020 ◽

Vol 10 (3) ◽

pp. 1085 ◽

Cited By ~ 1

Author(s):

Morteza Hamooni ◽

Mojtaba Maghrebi ◽

Javad Majrouhi Sardroud ◽

Sungjin Kim

Keyword(s):

Real Time ◽

Concrete Strength ◽

Construction Project ◽

Information Modeling ◽

Sensor Data ◽

Project Control ◽

Cost Overruns ◽

Removal Time ◽

Management Personnel ◽

Building Information

The concrete formwork process is a critical component of construction project control because failing to gain the necessary concrete strength can lead to reworks and, consequently, project delays and cost overruns during the project’s execution. The goal of this study is to develop a novel method of monitoring the maturity of concrete and providing reduced formwork removal time with the strength ensured in real-time. This method addresses the wireless sensors and building information modeling (BIM) needed to help project management personnel monitor the concrete’s status and efficiently decide on the appropriate formwork removal timing. Previous studies have focused only on the monitoring of concrete’s status using sensor data or planning the formwork layout by integrating the BIM environment into the design process. This study contributes to extending BIM’s interoperability for monitoring concrete’s maturity in real-time during construction, as well as determining the formwork removal time for project control. A case study was conducted at a building construction project to validate the developed framework. It was concluded that BIM can interoperate with the data collected from sensors embedded in concrete, and that this system can reduce formwork removal time while retaining sufficient strength in the concrete, rather than adhering to the removal time given in building code standards.

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Design and Application of Risk Early Warning System for Subway Station Construction Based on Building Information Modeling Real-Time Model

Advances in Civil Engineering ◽

10.1155/2021/8898893 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Qianlong Tang ◽

Mingfeng Lei ◽

Binbin Zhu ◽

Limin Peng ◽

Weimin Wu ◽

...

Keyword(s):

Real Time ◽

Early Warning ◽

Early Warning System ◽

Building Information Modeling ◽

Warning System ◽

Information Modeling ◽

Subway Station ◽

Grey Prediction ◽

Building Information ◽

Subway Stations

The problems faced by subway stations in the construction process are more complex than those by overground buildings. Therefore, the construction risk for such structures is highly unpredictable and the risk management is difficult. Building information modeling (BIM) technology has strong visualization, simulation, and integration characteristics that make it conducive to the development of a risk early warning system for underground engineering. According to the functional requirements of risk early warning for subway stations, a risk early warning system based on a BIM real-time construction model is designed in this study for a subway station construction. The operation process of the risk early warning system is established through the grey prediction method to propose the operation method of the early warning system. The early warning system is applied to the Xiangjiang New Town Station of Changsha Metro Line 4 in China to verify its feasibility.

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Building Information Modeling using Hardware Genetic Algorithms with Field-Programmable Gate Arrays

International Journal of Information Technology Project Management ◽

10.4018/ijitpm.2014100102 ◽

2014 ◽

Vol 5 (4) ◽

pp. 24-49 ◽

Cited By ~ 1

Author(s):

Khoa N. Le ◽

Ivan W. H. Fung ◽

Vivian W. Y. Tam ◽

Leslie Yip ◽

Eric W. M. Lee

Keyword(s):

Genetic Algorithms ◽

Real Time ◽

Building Information Modeling ◽

Field Programmable Gate Arrays ◽

Information Modeling ◽

Gate Arrays ◽

Building Information ◽

Field Programmable ◽

Programmable Gate Arrays ◽

Real Time Applications

Genetic algorithms (GAs) have found many applications in various fields such as physics, signal processing, artificial intelligence and recently construction engineering management. For a long time, GAs are usually criticized to be time-consuming, making it unpractical for real-time applications. This paper presents a new technique which can be used: (1) to automate construction activities, and (2) to improve building information modeling which has become an attractive research topic around the world. Different from the generic GA techniques employed in the literature, this paper proposes a new GA using hardware with field-programmable gate arrays. The proposed technique is shown to improve speed and lessen computational power. Hardware implementation of GA using static random access memory-based field-programmable gate arrays with synthesizable very hardware description language coding is introduced. Detailed analyses on the field-programmable gate arrays are given which show that it is suitable for real-time applications. As a result, GA is modified so that it can be implemented in series and parallel which can greatly improve computational hardware performance. Configuration of parallelization is available with a peripheral component interconnect interface, which further helps to form a fast optimization tool for real-time applications. The ultimate goal of this paper is thus to design an effective GA technique which can be employed to support building information modeling and to effectively automate critical processes in construction projects.

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