The use of a virtual environment in managing risks associated with human responses in emergency situations on offshore installations

Norazahar, Norafneeza; Smith, Jennifer; Khan, Faisal; Veitch, Brian

doi:10.1016/j.oceaneng.2017.09.044

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…The statistical functions allow to estimate the risks of failures by associating them with a calculation model if compatible. For instance, Norazahar et al (2018) to estimate the possibility of a failure occurring in an offshore environment, they recovered the probabilistic function from two other previously analysed publications having remarkable similarities with the considered applicative case. In this case, they provide risk estimates with rather high reliability coefficients and with repeatable results.…”

Section: Methodsmentioning

confidence: 99%

“…In other cases, the failure simulations have been developed ad hoc to study the negative effects of different operational scenarios, specifically modifying the boundary conditions (of the simulation) with respect to the parameters defined within the functional unit of the eco-assessment, and they are also the preferred approach, among those analysed, to investigate failure deriving from user's misusing during the product functioning (e.g. Norazahar et al, 2018). In all the analysed cases, simulations have the advantage of being able to apply the anticipatory failure investigation in eco-design, allowing the estimation of the impacts of a product at the design or prototype stage but which has not yet been manufactured and marketed.…”

Section: Simulationsmentioning

confidence: 99%

“…(2) Generic assessment, providing an assessment of environmental impacts according to the most wellknown indicators, but without following a rigorous and regulated procedure (e.g. Norazahar et al, 2018). (3) LCA methodology application according to the strict application of the reference standards (e.g.…”

Section: Eco-assessment Approachesmentioning

confidence: 99%

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A review about methods for supporting failure risks analysis in eco-assessment

Spreafico

2021

Environ Monit Assess

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This paper critically reviewed 106 scientific papers proposing methods to enrich eco-assessment with failure determination and risk assessment. The provided research perspective is new and significantly different from the reviews in the literature which are mostly limited to analyse the environmental impacts of uncertainties and off-design functioning rather than the failures. The analysis, based on the contributions of the literature over more than 20 years, was carried out manually and allowed to identify and classify the application fields, the types of identifiable failures and the approaches used for their determination, for the analysis of their risk of occurrence and for their eco-assessment. The different classifications have also been intersected with each other and all the proposed approaches have been discussed in detail, highlighting the advantages and disadvantages in relation to eco-assessment. From the study emerged a growing and heterogeneous interest on the subject by the scientific community, and a certain independence of the analysed methods with respect to traditional approaches of both failure risk analysis and eco-assessment. Great attention of the methods about product functioning has been highlighted, in addition to the use of tests, simulations, FMEA (failure mode and effect analysis)-based approaches and knowledge databases to determine the failures, while statistical methods are preferred to support risks analysis and LCA (life cycle assessment) for environmental impact calculation. If, in the coming years, this argument also spreads in industry, the results provided by this review could be exploited as a first framework for practitioners. Graphical abstract

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Section: Methodsmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

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A review about methods for supporting failure risks analysis in eco-assessment

Spreafico

2021

Environ Monit Assess

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“…Several industrial applications of IVR simulations for safety exists. These are; training of employees in a simulation through IVR for safe operation [11,12], Likewise, in risk assessments associated to human responses in emergency situations [13]. Furthermore, safety levels have been improved through the application of a Plant Simulator (PS) that constitutes process simulation and accident simulation for normal as well as abnormal accident scenarios [7,14].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Optimizing Occupational Safety Through 3-D Simulation and Immersive Virtual Reality

Kwegyir-Afful

Lindholm

Tilabi

et al. 2019

Advances in Intelligent Systems and Computing

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This paper evaluates the effectiveness of computer simulation and the immersive virtual reality (IVR) technology for occupational risk assessment improvement. It achieves this by conducting a risk assessment on a 3-D simulation of a Lithium-Ion battery (LIB) manufacturing factory. This is necessary since calls for the enhancement of occupational risk assessments continue to dominate safety improvement measures in manufacturing context. Meanwhile, industries such as aviation, mining and healthcare employ advanced versions of IVR for risks awareness with successes. However, applications for safety in manufacturing context is only at the infancy although it utilizes IVR profitably for product and production optimization issues. The study involved 19 participants who performed the assessment with the aid of a safety checklist followed by open-ended semi-structured questions and interviews. Results indicates an outstanding utilization capability of IVR for risk assessment. Furthermore, the assessment pinpoints specific safety issues in the factory that requires attention and improvement.

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“…The works in [11,12] focus on route learning for agents and propose a model where an agent can exhibit behavior that is similar to a human participant while learning a new escape route. Risks associated with human responses during an evolving emergency are assessed in [42]. The authors assert that hazards (like fires, smoke), weather condition, malfunctioning equipment, and inadequate emergency preparedness such as that related with the recognition of platform alarms are important factors that affect the human response.…”

mentioning

confidence: 99%

Situation awareness modeling for emergency management on offshore platforms

Danial

Smith

Khan

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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IntroductionThe present work proposes a model based on Markov Logic Network (MLN) [16] for representing emergency situations involving smoke and fire on offshore petroleum platforms. The model is tested for two important situations, FIRE and EVACUATE. In the FIRE situation, fire is observed due to smoke at some place on the platform, and all workers need to muster to their primary muster station. In the EVACUATE situation, the fire is escalated so that some escape routes to the primary muster station are blocked and all personnel needs to muster at the lifeboat or alternative muster station. The purpose of this work is to have a model that can be used by a software agent so that the agent can exhibit human-like situation awareness (SA). Such agents can subsequently be used, for example, in training simulators to enrich trainees' experience by showing them various scenarios in which the agent shows recognition of different situations (to makes various decisions). A participant can learn from the agent what information is important in a given scenario for correct SA.Representing the emergency response of agents operating in a virtual environment (VE) is a challenging and active research area. Emergencies on board can arise from Abstract Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation. The model has been trained using empirical data obtained from case studies. The case studies involved human participants who were trained for responding to emergencies involving fire and smoke using a virtual environment. The simulated (queried) and empirical findings are reasonably consistent. The proposed model enables implementing an agent that exploits environmental cues and cognitive states to determine the type of emergency currently being faced. Considering each emergency type as a situation, the model can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent's experience for later decision-making. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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The use of a virtual environment in managing risks associated with human responses in emergency situations on offshore installations

Cited by 11 publications

References 11 publications

A review about methods for supporting failure risks analysis in eco-assessment

A review about methods for supporting failure risks analysis in eco-assessment

Optimizing Occupational Safety Through 3-D Simulation and Immersive Virtual Reality

Situation awareness modeling for emergency management on offshore platforms

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