BIM in Fire Emergency Management – A Necessity for Risk Control
Building fires pose a serious risk to people's health, the environment, and their property. So, for the occupants of buildings, an effective fire evacuation system is necessary for the control of this risk. Building Information Modeling helps in this regard.
Significance of Advanced Technology on Fire Emergency Management:
The employment of advanced technology and the several behavioral choices made by building occupants have a significant impact on the effectiveness of fire emergency management.
Despite the fact that numerous studies have been devoted for creating advanced technology and increasing the effectiveness of fire emergency management, advanced technology frequently fails due to its unsuitability for usage or non-use.
Combining Behavior Choices with Innovative Technology:
It is essential to combine the behavior choices made by building occupants with cutting-edge technology and present fire response modes that are tailored for such occupants.
The study develops a fire emergency management system (FEMS) based on the Building Information Modeling (BIM) platform that takes into account the behavioral choices of building users like waiting for rescue, escape, and fire extinguishing.
Working with Functional Modules:
Four functional modules, including fire intelligence-monitoring, fire warning, fire response, and fire treatment are created in addition to a database management module.
The system enables the classification of fires, the location of users, the dynamic monitoring of building fires, and the visualization of fire-points in three-dimensional (3D) models.
Determining Best Action Paths as per Building Users:
Additionally, this system determines the best action paths based on decisions made by various building users, and the application offers visible route advice.
Fire Scenario Simulation Experiment:
As per research, it is demonstrated through a fire scenario simulation experiment that the Test Group's movement distance is 30% shorter and their overall time spent is 48% less than the Control Group.
Additionally, the Test Group's performance for each type of decision-maker behavior outperformed the Control Group.
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