Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning
Abstract Current static evacuation path planning methods are unable to meet the demands of real-time changes in fire scenarios. Therefore, a bi-objective dynamic planning (BODP) method for fire evacuation paths is proposed not only to minimize evacuation time but also reduce the thermal radiation do...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-93567-4 |
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| author | Guanbo Chou Yili Duo Jie Liu Lin Sun Yuyuan Zhang Tie Sun |
| author_facet | Guanbo Chou Yili Duo Jie Liu Lin Sun Yuyuan Zhang Tie Sun |
| author_sort | Guanbo Chou |
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| description | Abstract Current static evacuation path planning methods are unable to meet the demands of real-time changes in fire scenarios. Therefore, a bi-objective dynamic planning (BODP) method for fire evacuation paths is proposed not only to minimize evacuation time but also reduce the thermal radiation dose received by personnel during the evacuation process. The BODP method includes both an equivalent rule proposed for the first time based on the linear weighting method, and an improved Dijkstra algorithm designed in this paper. Because of them, the BODP method can normalize evacuation time and thermal radiation dose to the same degree and perform multi-sink dynamic planning on a hexagonal grid map, in order to find the optimal evacuation path with the lowest equivalent cost in the event of a tank farm fire. This method accounts for changing fire scenarios and avoids potentially high-risk paths. Finally, a case study of a chemical plant tank farm is conducted to demonstrate the effectiveness of the method. The results indicate that the BODP method is better suited for evacuation path planning in complex and dynamic fire scenarios. The BODP method resolves the issue found in static path planning: the first-degree burn probabilities derived from estimated thermal radiation doses are 34% lower than those derived from actual thermal radiation doses, potentially resulting in unnecessary casualties. Additionally, the BODP method is also applicable to scenarios involving domino effects triggered by fire incidents. This method provides scientific and reliable technical support for emergency evacuation in tank farm fires, greatly contributing to the safety and protection of personnel. |
| format | Article |
| id | doaj-art-cd688948740e4024808d4f4be0b06d20 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-cd688948740e4024808d4f4be0b06d202025-08-20T02:56:19ZengNature PortfolioScientific Reports2045-23222025-03-0115111910.1038/s41598-025-93567-4Emergency evacuation paths for tank farm fires based on bi-objective dynamic planningGuanbo Chou0Yili Duo1Jie Liu2Lin Sun3Yuyuan Zhang4Tie Sun5School of Mechanical Engineering, Liaoning Petrochemical UniversitySchool of Environmental and Safety Engineering, Liaoning Petrochemical UniversityCollege of Petroleum Engineering, Liaoning Petrochemical UniversitySchool of Environmental and Safety Engineering, Liaoning Petrochemical UniversitySchool of Environmental and Safety Engineering, Liaoning Petrochemical UniversitySchool of Mechanical Engineering, Liaoning Petrochemical UniversityAbstract Current static evacuation path planning methods are unable to meet the demands of real-time changes in fire scenarios. Therefore, a bi-objective dynamic planning (BODP) method for fire evacuation paths is proposed not only to minimize evacuation time but also reduce the thermal radiation dose received by personnel during the evacuation process. The BODP method includes both an equivalent rule proposed for the first time based on the linear weighting method, and an improved Dijkstra algorithm designed in this paper. Because of them, the BODP method can normalize evacuation time and thermal radiation dose to the same degree and perform multi-sink dynamic planning on a hexagonal grid map, in order to find the optimal evacuation path with the lowest equivalent cost in the event of a tank farm fire. This method accounts for changing fire scenarios and avoids potentially high-risk paths. Finally, a case study of a chemical plant tank farm is conducted to demonstrate the effectiveness of the method. The results indicate that the BODP method is better suited for evacuation path planning in complex and dynamic fire scenarios. The BODP method resolves the issue found in static path planning: the first-degree burn probabilities derived from estimated thermal radiation doses are 34% lower than those derived from actual thermal radiation doses, potentially resulting in unnecessary casualties. Additionally, the BODP method is also applicable to scenarios involving domino effects triggered by fire incidents. This method provides scientific and reliable technical support for emergency evacuation in tank farm fires, greatly contributing to the safety and protection of personnel.https://doi.org/10.1038/s41598-025-93567-4Tank farm fireEmergency evacuationDynamic path planningThermal radiationDijkstra algorithmBi-objective optimization |
| spellingShingle | Guanbo Chou Yili Duo Jie Liu Lin Sun Yuyuan Zhang Tie Sun Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning Scientific Reports Tank farm fire Emergency evacuation Dynamic path planning Thermal radiation Dijkstra algorithm Bi-objective optimization |
| title | Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning |
| title_full | Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning |
| title_fullStr | Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning |
| title_full_unstemmed | Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning |
| title_short | Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning |
| title_sort | emergency evacuation paths for tank farm fires based on bi objective dynamic planning |
| topic | Tank farm fire Emergency evacuation Dynamic path planning Thermal radiation Dijkstra algorithm Bi-objective optimization |
| url | https://doi.org/10.1038/s41598-025-93567-4 |
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