Towards Agent-Based Grid-Enabled and Sensor-Driven Fire Dynamics Simulation Harnessed Over Bluetooth and Wi-Fi Devices

The present paper is motivated by the need to develop technological infrastructure for informed and reliable decision support in various crisis and disaster management situations. It describes our prototype data-driven fire hazard simulator capable of predicting fire propagation dynamics that allows the user to take decisions based on reliable micro-future predictions of fire propagation based on potential personnel actions. Several heterogeneous technologies are integrated to achieve this goal. The GRID is utilized for running legacy codes enabling fire-propagation prediction. Sensor networks are used to enable simulation steering and correction. Base-stations enable data and communications coordination. Handheld or other wearable devices are terminal and initial points of interaction of the first responders with the rest of the system. Agent middleware is utilized to coordinate all heterogeneous software present. A demonstration of the first incarnation of this infrastructure is implemented over Bluetooth and WiFi enabled communications between the handheld devices and the base-stations involved.

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Integrated IEW-TOPSIS and Fire Dynamics Simulation for Agent-Based Evacuation Modeling in Industrial Safety

Safety ◽

10.3390/safety7020047 ◽

2021 ◽

Vol 7 (2) ◽

pp. 47

Author(s):

Wattana Chanthakhot ◽

Kasin Ransikarbum

Keyword(s):

Emergency Evacuation ◽

Industrial Sector ◽

Industrial Safety ◽

Dynamics Simulation ◽

Entropy Weight ◽

Fire Dynamics ◽

Evacuation Simulation ◽

Evacuation Modeling ◽

Agent Based ◽

The Impact

Emergency events in the industrial sector have been increasingly reported during the past decade. However, studies that focus on emergency evacuation to improve industrial safety are still scarce. Existing evacuation-related studies also lack a perspective of fire assembly point’s analysis. In this research, location of assembly points is analyzed using the multi-criteria decision analysis (MCDA) technique based on the integrated information entropy weight (IEW) and techniques for order preference by similarity to ideal solution (TOPSIS) to support the fire evacuation plan. Next, we propose a novel simulation model that integrates fire dynamics simulation coupled with agent-based evacuation simulation to evaluate the impact of smoke and visibility from fire on evacuee behavior. Factors related to agent and building characteristics are examined for fire perception of evacuees, evacuees with physical disabilities, escape door width, fire location, and occupancy density. Then, the proposed model is applied to a case study of a home appliance factory in Chachoengsao, Thailand. Finally, results for the total evacuation time and the number of remaining occupants are statistically examined to suggest proper evacuation planning.

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IFC-centric performance-based evaluation of building evacuations using fire dynamics simulation and agent-based modeling

Automation in Construction ◽

10.1016/j.autcon.2019.01.007 ◽

2019 ◽

Vol 101 ◽

pp. 1-16 ◽

Cited By ~ 17

Author(s):

Farid Mirahadi ◽

Brenda McCabe ◽

Arash Shahi

Keyword(s):

Agent Based Modeling ◽

Dynamics Simulation ◽

Fire Dynamics ◽

Agent Based ◽

Performance Based Evaluation

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An agent-based approach for crowd dynamics simulation

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems ◽

10.1109/icicisys.2010.5658843 ◽

2010 ◽

Cited By ~ 3

Author(s):

Qiu Qin ◽

Junhu Wei

Keyword(s):

Dynamics Simulation ◽

Agent Based ◽

Crowd Dynamics

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Numerical Investigations on the Propagation of Fire in a Railway Carriage

Energies ◽

10.3390/en13194999 ◽

2020 ◽

Vol 13 (19) ◽

pp. 4999

Author(s):

Matthew Craig ◽

Taimoor Asim

Keyword(s):

Fire Spread ◽

Ignition Energy ◽

Fire Dynamics ◽

Fire Propagation ◽

Average Temperature ◽

Smoke Density ◽

Smoke Layer ◽

Most Significant Change ◽

Computational Fluid Dynamics Cfd ◽

Safety Guidelines

In this study, advanced Computational Fluid Dynamics (CFD)-based numerical simulations have been performed in order to analyse fire propagation in a standard railway compartment. A Fire Dynamics Simulator (FDS) has been employed to mimic real world scenarios associated with fire propagation within railway carriages in order to develop safety guidelines for railway passengers. Comprehensive parametric investigations on the effects of ignition location, intensity and cabin upholstery have been carried out. It has been observed that a fire occurring near the exits of the carriage results in a lower smoke layer height, due to the local carriage geometry, than an identical fire igniting at the center of the carriage. This in turn causes the smoke density along the aisleway to vary by around 30%. Reducing the ignition energy by half has been found to restrict combustion, thus reducing smoke density and carbon exhaust gases, reducing the average temperature from 170 °C to 110 °C. Changing the material lining of the seating has been found to cause the most significant change in output parameters, despite its relative insignificance in bulk mass. A polyester sample produces a peak carbon monoxide concentration of 7500 ppm, which is 27× greater compared with nylon. This difference has been found to be due to the fire spread and propagation between fuels, signifying the polyester’s unsuitability for use in railway carriages.

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