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Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning
Guanbo Chou1, Yili Duo2, Jie Liu3
1School of Mechanical Engineering, Liaoning Petrochemical University, Fushun, 113001, China.
A new bi-objective dynamic planning (BODP) method optimizes fire evacuation paths by minimizing time and thermal radiation exposure. This approach enhances safety in dynamic scenarios like tank farm fires.
Area of Science:
- Fire Safety Engineering
- Computational Science
- Risk Management
Background:
- Static evacuation path planning fails in dynamic fire scenarios.
- Real-time changes necessitate adaptive evacuation strategies.
- Existing methods do not adequately address both time and safety in evacuations.
Purpose of the Study:
- To propose a bi-objective dynamic planning (BODP) method for fire evacuation.
- To minimize both evacuation time and thermal radiation dose.
- To provide a robust solution for complex and dynamic fire events.
Main Methods:
- Developed a novel equivalent rule using linear weighting.
- Implemented an improved Dijkstra algorithm for pathfinding.
- Utilized a hexagonal grid map for multi-sink dynamic planning.
Main Results:
- The BODP method effectively minimizes evacuation time and thermal radiation.
- Achieved a 34% reduction in first-degree burn probabilities compared to static methods.
- Demonstrated applicability to tank farm fires and domino effect scenarios.
Conclusions:
- The BODP method is superior for dynamic fire evacuation path planning.
- Provides reliable technical support for emergency response in industrial settings.
- Significantly enhances personnel safety during complex fire incidents.
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