SCHEMA-SI: A hybrid fire safety engineering tool Part II: Case study

Müller, Anne; Demouge, François; Jeguirim, Mejdi; Fromy, Ph.

doi:10.1016/j.firesaf.2013.01.022

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…In the case of an emergency, there might be several danger zones within a building with the potential to endanger human life; for example, areas where there is fire or smoke, where there are obstacles [43][44][45]. It is imperative to keep people away from these areas and evacuate them as quickly as possible [46,47].…”

Section: Problem Formulationmentioning

confidence: 99%

Optimisation of Emergency Rescue Location (ERL) using KLD-Resampling: An Initial Proposal

Bejuri¹,

Mohamad²,

Radzi³

2016

IJUNESST

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When an emergency occurs in a building, congestion avoidance becomes a very serious localisation issue, which is often ignored. If the emergency involves the outbreak of fire, the rescue team must establish the easiest and quickest exit route from the building. Any delay could be very dangerous, potentially even resulting in fatalities. To avoid congestion, an effective Emergency Rescue Localisation (ERL) system is essential to help rescue teams determine the easiest exit route from the building. This paper proposes an ERL methodology, based on the Inertial Measurement Unit (IMU).In this system, the IMU helps to determine and obtain positioning data from a building's interior. This study describes the application of the ERL system for an indoor situation in detail.

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Section: Problem Formulationmentioning

confidence: 99%

Optimisation of Emergency Rescue Location (ERL) using KLD-Resampling: An Initial Proposal

Bejuri¹,

Mohamad²,

Radzi³

2016

IJUNESST

View full text Add to dashboard Cite

show abstract

“…There might be several dangerous areas in a building during an emergency, which are threats to human safety, (for example: fire, smoke, obstacles, etc., [30,32]). Thus, people need to evacuate the building as quickly as possible while keeping away from those dangerous areas [33,34].…”

Section: Problem Formulationmentioning

confidence: 99%

Emergency Rescue Localization (ERL) using GPS, Wireless LAN and Camera

Bejuri

Mohamad²,

Radzi³

2015

IJSEIA

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Congestion avoidance in emergency situations is among one of many overlooked localization issues. During emergency situations (such as fires), sometimes the rescuers find it hard to find the best exit route from the inside to the outside of a building. Any time delay in decision making will risk the loss of lives. Therefore, an efficient Emergency Rescue Localization (ERL) system is needed to help rescuers find the best route from the inside to the outside of a building. Thus, we propose a new ERL that is based on the integration of a Global Positioning System (GPS), Wireless LAN and camera. In this proposed ERL, the integrated Wireless LAN (WLAN) and Camera are used to retrieve location information inside a building. Then, localization methods will be adapted to GPS-based localization when subjects are in open areas outside the building. Finally, we present our experimental results to illustrate the performance of the localization system for indoor and outdoor environment set-up.

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“…There might be several danger areas in a building in an emergency, in the form of threats to human safety; for example: fire, smoke, obstacles, and etc. [30][31][32]. Therefore, it is essential that evacuation take place as quickly as possible, and that people are kept away from dangerous areas [33,34].…”

Section: Problem Formulationmentioning

confidence: 99%

A Proposal of Emergency Rescue Location (ERL) using Optimization of Inertial Measurement Unit (IMU) based Pedestrian Simultaneously Localization and Mapping (SLAM)

Bejuri

Mohamad²,

Radzi³

2015

IJSEIA

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Congestion avoidance in emergencies is one of many overlooked localization issues.During an emergency (such as a fire), it is difficult for rescuers to determine the best exit route when inside a building. Any time delay during decision making can risk loss of life. Therefore, an efficient Emergency Rescue Localization (ERL) system is essential to assist rescuers to identify the best route for reaching the outside when inside a building. Thus, we propose a new ERL based on an Inertial Measurement Unit (IMU). In the proposed ERL, an IMU is used to retrieve location information from inside the building. To conclude, we illustrate out proposed solution for indoor environmental set-up.

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SCHEMA-SI: A hybrid fire safety engineering tool Part II: Case study

Cited by 5 publications

References 7 publications

Optimisation of Emergency Rescue Location (ERL) using KLD-Resampling: An Initial Proposal

Optimisation of Emergency Rescue Location (ERL) using KLD-Resampling: An Initial Proposal

Emergency Rescue Localization (ERL) using GPS, Wireless LAN and Camera

A Proposal of Emergency Rescue Location (ERL) using Optimization of Inertial Measurement Unit (IMU) based Pedestrian Simultaneously Localization and Mapping (SLAM)

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