scholarly journals Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3583
Author(s):  
Zhansheng Liu ◽  
Xintong Meng ◽  
Zezhong Xing ◽  
Antong Jiang
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Information Integration ◽  
Large Scale ◽  
Security Management ◽  
Information Modeling ◽  
Security Risk ◽  
Safety Risk ◽  
Digital Twin ◽  
Prefabricated Building

Safety management in hoisting is the key issue to determine the development of prefabricated building construction. However, the security management in the hoisting stage lacks a truly effective method of information physical fusion, and the safety risk analysis of hoisting does not consider the interaction of risk factors. In this paper, a hoisting safety risk management framework based on digital twin (DT) is presented. The digital twin hoisting safety risk coupling model is built. The proposed model integrates the Internet of Things (IoT), Building Information Modeling (BIM), and a security risk analysis method combining the Apriori algorithm and complex network. The real-time perception and virtual–real interaction of multi-source information in the hoisting process are realized, the association rules and coupling relationship among hoisting safety risk factors are mined, and the time-varying data information is visualized. Demonstration in the construction of a large-scale prefabricated building shows that with the proposed framework, it is possible to complete the information fusion between the hoisting site and the virtual model and realize the visual management. The correlative relationship among hoisting construction safety risk factors is analyzed, and the key control factors are found. Moreover, the efficiency of information integration and sharing is improved, the gap of coupling analysis of security risk factors is filled, and effective security management and decision-making are achieved with the proposed approach.

scholarly journals The UAVs threat to airport security: risk analysis and mitigation

2019 ◽  
Vol 9 (2) ◽  
pp. 63 ◽  
Author(s):  
John Pyrgies
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Mitigation Measures ◽  
Airport Security ◽  
Negative Consequences ◽  
Security Risk ◽  
Risk Matrix ◽  
Safety Risk ◽  
Risk Management Process ◽  
Different Sources

Purpose: This research studies the UAV incidents in the vicinity of worldwide airports in order to deliver a quantitative and qualitative analysis of this phaenomenon, to analyse the risks associated to this threat and propose mitigation measures that brings this risk to an ‘acceptable’ level.Methodology: A population of 139 ‘serious UAV incidents in the vicinity of worldwide airports’ has been constituted on the basis of the FAA and NASA databases and articles published on the Web by online media. This phaenomenon has then been analysed quantitatively using descriptive statistics techniques and qualitatively by analysing in-depth some representative incidents. A risk analysis has then been performed based on the FAA Safety Risk Management 5-steps process to identify the hazards i.e. the root causes of those UAV incidents, determine their outcome i.e. negative consequences that jeopardize airports objectives and assign them a severity level and likelihood i.e. frequency level. Analysed risks have then been assessed based on FAA ARP Risk Matrix. Mitigation measures (prevention, deterrence, denial, detection, neutralisation) have been identified following a ‘Defence-in-Depth’ approach.Findings: The findings of the study are that those UAV incidents are more numerous than anticipated and happen higher and further from the airports than expected: they happen not only in CTRs but also in TMAs. This has an impact on the mitigation measures that shall not only be deployed at airports side but also be on-boarded in manned aircrafts.Originality: To our knowledge, no study has combined different sources to constitute such a population focused on ‘serious’ UAVs incidents around airports worldwide, has applied the official FAA Safety Risk Management process to assess this risk and followed a structured ‘Defence-in-Depth’ approach typically used in Cybersecurity to mitigate this risk.Keywords: Airport security and safety, Unmanned Aerial Vehicles (UAVs) threat, Risk analysis and mitigation, Counter-UAVs technologies.

scholarly journals OCCUPATIONAL SAFETY RISK ANALYSIS OF ORGANIZED INDUSTRIAL ENTERPRISES IN NEVSEHIR PROVINCE OF TURKEY BY FINE-KINNEY METHOD

2020 ◽  
Vol 7 (7) ◽  
pp. 33-41
Author(s):  
M. Cüneyt Bagdatlı ◽  
Ahmet Mahmut KILIÇ
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Occupational Safety ◽  
Preventive Measures ◽  
Health And Safety ◽  
Safety Risk ◽  
Emergency Situations ◽  
Industrial Enterprises ◽  
Electrical Components ◽  
Excessive Noise

This research has been carried out within the scope of the solutions proposed for the evaluation of occupational safety risk analysis in 10 selected enterprises by random sampling in Organized Industrial Zone of Nevşehir province, Turkey and elimination of risk factors towards the results obtained. In scope of the study, Fine – Kinney method were used as risk assessment methods in each of the food, metal processing, machining and plastic firms. At the end of the study, a total of 122 risk factors have been identified in the whole enterprises. Commonly risks arising from falling from heights, fire, exposure to chemicals, electrical components and ergonomic situation insufficiency have been identified. In addition, risks such as insufficient environmental hygiene, lack of ventilation, excessive noise, inadequate training for emergency situations and insufficient use of protective equipment were determined. The identified risks were put forward by different method approaches and it was concluded that the findings were similar in all methods. The regulations and principles to be applied in order to eliminate or minimize the identified risks were discussed and the dimensions of the preventive measures were exhibited. As a result, audits of organized industrial enterprises related to occupational health and safety need to be conducted more strictly. In addition, the measures should put into practice in order to define identified risks and the issue should be monitored by the experts.

scholarly journals Semantic IFC Data Model for Automatic Safety Risk Identification in Deep Excavation Projects

2021 ◽  
Vol 11 (21) ◽  
pp. 9958
Author(s):  
Yongcheng Zhang ◽  
Xuejiao Xing ◽  
Maxwell Fordjour Antwi-Afari
Keyword(s):  
Information Integration ◽  
Data Model ◽  
Risk Identification ◽  
Project Planning ◽  
Information Modeling ◽  
Deep Excavation ◽  
Safety Risk ◽  
Semantic Data ◽  
Construction Risk ◽  
Central Database

Safety risk identification throughout deep excavation construction is an information-intensive task, involving construction information scattered in project planning documentation and dynamic information obtained from different field sensors. However, inefficient information integration and exchange have been an important obstacle to the development of automatic safety risk identification in actual applications. This research aims to achieve the requirements for information integration and exchange by developing a semantic industry foundation classes (IFC) data model based on a central database of Building Information Modeling (BIM) in dynamic deep excavation process. Construction information required for risk identification in dynamic deep excavation is analyzed. The relationships among construction information are identified based on the semantic IFC data model, involved relationships (i.e., logical relationships and constraints among risk events, risk factors, construction parameters, and construction phases), and BIM elements. Furthermore, an automatic safety risk identification approach is presented based on the semantic data model, and it is tested through a construction risk identification prototype established under the BIM environment. Results illustrate the effectiveness of the BIM-based central database in accelerating automatic safety risk identification by linking BIM elements and required construction information corresponding to the dynamic construction process.

Research on Safety Risk Assessment of Large-Scale Railway Passenger Station

2013 ◽  
Vol 361-363 ◽  
pp. 1923-1926 ◽  
Author(s):  
Ya Jing Lan ◽  
Bao Ming Han ◽  
De Wei Li
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Large Scale ◽  
Railway Station ◽  
Safety Risk ◽  
Analysis Phase ◽  
Preparation Phase ◽  
Railway Passenger ◽  
Definition Phase ◽  
Passenger Station

Firstly, this paper expounds the concept of the safety risk assessment of large-scale railway passenger station. Then this paper introduces the overall process of safety risk assessment of passenger station, included assessment preparation phase, factors definition phase and Risk analysis phase. At last, as Beijing South Railway Station as an example, it expounds how to assess the risks and put forward some suggestions.

scholarly journals Investigation on Maintenance Technology of Large-Scale Public Venues Based on BIM Technology

2021 ◽  
Vol 13 (14) ◽  
pp. 7937
Author(s):  
Tingchen Fang ◽  
Yiming Zhao ◽  
Jian Gong ◽  
Feiliang Wang ◽  
Jian Yang
Keyword(s):  
Information Integration ◽  
Large Scale ◽  
Mixed Reality ◽  
Information Modeling ◽  
Automation System ◽  
Unified Protocol ◽  
Operation And Maintenance ◽  
Building Information ◽  
Combined Strategy ◽  
Snow Sports

Recently, the digital operation and maintenance of large-scale public venues have received increasing attention. The traditional building automation system (BAS), which can only provide information in a non-visualized way, is incapable of meeting the complex requirements of modern operation and maintenance. Therefore, a 3D-based building information modeling (BIM) technology is needed to improve operation and maintenance efficiency. In the paper, a BAS-to-BIM combined strategy is introduced, and the BIM-based maintenance object framework for large-scale public venues is re-built. The conversion method and lightweight method for the BIM maintenance model are introduced and a new type of public protocol, which can be used to attain a unified protocol layer that serves the BIM model, is proposed. In addition, this article presents the application of technologies, such as virtual/mixed reality, to improve the convenience of operation and maintenance. Finally, a practical project of a snow-sports stadium is given as an example to elaborate on the benefit of the proposed method. It indicates that the functions, for example, information integration, visualization, and positioning, introduced by BIM technology can effectively improve the quality and efficiency of project operation and maintenance.

Safety Risk Analysis for Prefabricated Building Hoisting Construction Based on STPA-BN

2021 ◽  
Author(s):  
Ziyao Pan ◽  
Junwu Wang ◽  
Jing Wang ◽  
Mengyuan Tian ◽  
Sen Liu
Keyword(s):  
Risk Analysis ◽  
Safety Risk ◽  
Prefabricated Building

Digital risk analysis of cardiovascular diseases: new opportunities for the patients

2008 ◽  
Vol 149 (15) ◽  
pp. 677-684 ◽  
Author(s):  
Csaba Arnold ◽  
Zoltán Englert ◽  
Csaba Szabadhegyi ◽  
Csaba Farsang
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Risk Analysis ◽  
Effective Treatment ◽  
Medical History ◽  
Vascular Diseases ◽  
Coronary Risk ◽  
Risk Status ◽  
Long Period ◽  
Graphic Presentation

Authors constructed a software helping the prevention programme of coronary and vascular diseases as the classical risk factors are used for graphic presentation of coronary risk as compared to “normal” risk. By repeated estimation alterations in coronary risk status can be compared to previous ones and thereby help evaluating the changes. This programme is highlighted by the presentation of changes in coronary risk of a patient during a 4-year-long period of her medical history. It is also shown how graphic presentation of risk can support the more effective treatment and patient care.

2258-PUB: Impact of Cardiovascular (CV) Risk Factors during the Initial 6 Months of the First Large-Scale Longitudinal Nationwide Study on Management and Real-World Outcomes of Diabetes in India (LANDMARC)

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2258-PUB
Author(s):  
ROMIK GHOSH ◽  
ASHOK K. DAS ◽  
SHASHANK JOSHI ◽  
AMBRISH MITHAL ◽  
K.M. PRASANNA KUMAR ◽  
...  
Keyword(s):  
Risk Factors ◽  
Real World ◽  
Large Scale ◽  
Nationwide Study
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