Real-Time Safety Risk Analysis of Construction Projects Using BIM and RTLS

2013 ◽  
Author(s):  
S. Setayeshgar ◽  
A. Hammad ◽  
F. Vahdatikhaki ◽  
C. Zhang
Keyword(s):  
Risk Analysis ◽  
Real Time ◽  
Construction Projects ◽  
Safety Risk

Bayesian-network-based safety risk analysis in construction projects

2014 ◽  
Vol 131 ◽  
pp. 29-39 ◽  
Author(s):  
Limao Zhang ◽  
Xianguo Wu ◽  
Miroslaw J. Skibniewski ◽  
Jingbing Zhong ◽  
Yujie Lu
Keyword(s):  
Risk Analysis ◽  
Bayesian Network ◽  
Construction Projects ◽  
Safety Risk

scholarly journals Safety Risk Management in Dam Construction Projects: Literature Review

2021 ◽  
Vol 2 (1) ◽  
pp. 63-74
Author(s):  
Dinal Aulia ◽  
Lusi Marifah ◽  
Ikbal Yurrazak ◽  
Humiras Hardi Purba
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Risk Factor ◽  
Risk Analysis ◽  
Risk Evaluation ◽  
Construction Projects ◽  
Safety Management ◽  
Technical Factor ◽  
Modern Approach ◽  
Safety Risk

Safety risk assessment in dams is a traditional and modern approach to the engineering process of dams on safety systems so as to produce a design history that has a good overall record and integrity. With this approach for both old and new dams, this safety risk assessment aims to determine whether the risk the hazard can be tolerated or not, if it cannot be tolerated then there must be a solution for action to reduce the risk of danger so that the safety of the dam can be obtained. The existing risk assessment can be used as the basis for the construction of the dam to its maintenance, in this study discussed risk assessment safety on dams located in several countries such as in Asia, Europe and America. The methods implemented include the preparation of safety risks, risk analysis, risk evaluation and safety risk management. Based on research results The main risk factor that causes safety responsibilities is the Contractor's responsibility, namely the Non-technical project factor (40.54%), the 2nd rank is the Undecided Responsibility due to internal technical factors (35.13%), the 3rd rank is the technical project factor namely Contractor's Responsibility (10.8%), Rank 4 is external technical factor and external non-technical factor, the last risk factor is internal non-technical factor (2.7%) namely Joint Responsibility. Keywords : Risk safety management, risk assessment, risk analysis, risk evaluation, dam project

Development of environment design support mixed reality system capable of environment estimation using deep learning

Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 9-11
Author(s):  
Tomohiro Fukuda
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Computer Games ◽  
Construction Projects ◽  
Mixed Reality ◽  
Semantic Segmentation ◽  
Environment Design ◽  
Aviation Training ◽  
Architecture And Design ◽  
World Environment

Mixed reality (MR) is rapidly becoming a vital tool, not just in gaming, but also in education, medicine, construction and environmental management. The term refers to systems in which computer-generated content is superimposed over objects in a real-world environment across one or more sensory modalities. Although most of us have heard of the use of MR in computer games, it also has applications in military and aviation training, as well as tourism, healthcare and more. In addition, it has the potential for use in architecture and design, where buildings can be superimposed in existing locations to render 3D generations of plans. However, one major challenge that remains in MR development is the issue of real-time occlusion. This refers to hiding 3D virtual objects behind real articles. Dr Tomohiro Fukuda, who is based at the Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering at Osaka University in Japan, is an expert in this field. Researchers, led by Dr Tomohiro Fukuda, are tackling the issue of occlusion in MR. They are currently developing a MR system that realises real-time occlusion by harnessing deep learning to achieve an outdoor landscape design simulation using a semantic segmentation technique. This methodology can be used to automatically estimate the visual environment prior to and after construction projects.

BuiltView: Integrating LiDAR and BIM for Real-Time Quality Control of Construction Projects

2020 ◽  
Author(s):  
Rana Abbas ◽  
F. A. Westling ◽  
Christian Skinner ◽  
Monica Hanus-Smith ◽  
Andrew Harris ◽  
...  
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Construction Projects

Crash risk analysis during fog conditions using real-time traffic data

2018 ◽  
Vol 114 ◽  
pp. 4-11 ◽  
Author(s):  
Yina Wu ◽  
Mohamed Abdel-Aty ◽  
Jaeyoung Lee
Keyword(s):  
Risk Analysis ◽  
Real Time ◽  
Crash Risk ◽  
Traffic Data ◽  
Real Time Traffic

scholarly journals Research for Risk Management of Construction Projects in Taiwan

2021 ◽  
Vol 13 (4) ◽  
pp. 2034
Author(s):  
Chien-Liang Lin ◽  
Bey-Kun Chen
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Structural Equation ◽  
Construction Projects ◽  
Construction Project ◽  
Equation Modeling ◽  
Analysis Model ◽  
Sustainable Operation ◽  
Management Procedure ◽  
Risk Managers

Risks inevitably exist in all stages of a project. In a construction project, which is highly dynamic and complex, risk factors affect the expected achievement rates of the three main performance goals, namely schedule, cost, and quality. A comprehensive risk management procedure requires three crucial steps: risk confirmation, analysis, and treatment. Risk analysis is the core of risk management. Through structural equation modeling, this study developed a risk analysis model that takes a different perspective and considered the occurrence probability of risk events and the extent to which these events affect a project. The contractor dimension was discovered to exert the strongest influence on an overall project, followed by the subcontractor and design dimensions. This paper proposes a novel construction project risk analysis model, which considers the entire project. The proposed model can be used as a reference for risk managers to make decisions about project risks, so as to achieve the ultimate goal of saving resources and the sustainable operation of the construction project.

Advanced Real-Time Pollutant Monitoring Systems for Automatic Environmental Management of Construction Projects Focusing on Field Applicability

2022 ◽  
Vol 38 (1) ◽  
pp. 04021075
Author(s):  
Taehoon Hong ◽  
Seulki Sung ◽  
Hyuna Kang ◽  
Juwon Hong ◽  
Hakpyeong Kim ◽  
...  
Keyword(s):  
Environmental Management ◽  
Real Time ◽  
Construction Projects ◽  
Monitoring Systems
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