Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning DOI Creative Commons

Guanbo Chou,

Yili Duo,

Jie Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 14, 2025

Current static evacuation path planning methods are unable to meet the demands of real-time changes in fire scenarios. Therefore, a bi-objective dynamic (BODP) method for paths is proposed not only minimize time but also reduce thermal radiation dose received by personnel during process. The BODP includes both an equivalent rule first based on linear weighting method, and improved Dijkstra algorithm designed this paper. Because them, can normalize same degree perform multi-sink hexagonal grid map, order find optimal with lowest cost event tank farm fire. This accounts changing scenarios avoids potentially high-risk paths. Finally, case study chemical plant conducted demonstrate effectiveness method. results indicate that better suited complex resolves issue found planning: first-degree burn probabilities derived from estimated doses 34% lower than those actual doses, resulting unnecessary casualties. Additionally, applicable involving domino effects triggered incidents. provides scientific reliable technical support emergency fires, greatly contributing safety protection personnel.

Language: Английский

Incorporating large-scale economic-environmental-energy coupling assessment and collaborative optimization into sustainable product footprint management: A graph-assisted life cycle energy efficiency enhancement approach DOI
Tingwei Zhang, Weimin Zhong, Yurong Liu

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 329, P. 119616 - 119616

Published: Feb. 14, 2025

Language: Английский

Citations

1
A multi-objective supply chain model for disaster relief optimization using neutrosophic programming and blockchain-based smart contracts DOI Creative Commons
Alisha Roushan, Amrit Das, Anirban Dutta

et al.

Supply Chain Analytics, Journal Year: 2025, Volume and Issue: unknown, P. 100107 - 100107

Published: Feb. 1, 2025

Language: Английский

Citations

1
Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion DOI Creative Commons
Longyan Xu, Mao Xi, Ren Gao

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

Planning a safe and efficient global path in complex three-dimensional environment is challenging optimization task. Existing planning algorithms are faced with problems such as lengthy path, too many inflection points insufficient dynamic obstacle avoidance performance. In order to solve these challenges, this paper proposes algorithm (MSF-MTPO) multi-strategy fusion achieve the least point optimization. Initially, an adaptive extended neighborhood A* designed, which dynamically adjusts extension range according distribution of obstacles around current location, selecting optimal travel direction step size each time reduce redundant paths unnecessary nodes. Then, combined two-way search mechanism, starting from original end point, opposite node searched target respectively, so number nodes time. further improve efficiency, trajectory correction method designed eliminate on premise ensuring safety. Fourthly, problem deviation or excessive softening caused by limited control existing smoothing methods, local tangent circle proposed, effectively improves smoothness basis retaining superiority path. Finally, used guiding artificial potential field avoid falling into optimum realize avoidance. addition, performance compared several advanced different environments, MSF-MTPO has lowest cost scenarios, proves effectiveness stability UAV 3D planning.

Language: Английский

Citations

0
Emergency evacuation paths for tank farm fires based on bi-objective dynamic planning DOI Creative Commons

Guanbo Chou,

Yili Duo,

Jie Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 14, 2025

Current static evacuation path planning methods are unable to meet the demands of real-time changes in fire scenarios. Therefore, a bi-objective dynamic (BODP) method for paths is proposed not only minimize time but also reduce thermal radiation dose received by personnel during process. The BODP includes both an equivalent rule first based on linear weighting method, and improved Dijkstra algorithm designed this paper. Because them, can normalize same degree perform multi-sink hexagonal grid map, order find optimal with lowest cost event tank farm fire. This accounts changing scenarios avoids potentially high-risk paths. Finally, case study chemical plant conducted demonstrate effectiveness method. results indicate that better suited complex resolves issue found planning: first-degree burn probabilities derived from estimated doses 34% lower than those actual doses, resulting unnecessary casualties. Additionally, applicable involving domino effects triggered incidents. provides scientific reliable technical support emergency fires, greatly contributing safety protection personnel.

Language: Английский

Citations

0