火场扑救决策生成方法、装置、电子设备及可读存储介质
By constructing a fire scene model and a human-fire game model to simulate firefighting decisions, the problem of firefighting decisions relying on human experience in existing technologies has been solved. This has enabled the generation of efficient and accurate firefighting strategies, improving firefighting efficiency and safety.
CN121684534BActive Publication Date: 2026-07-17SHENZHEN UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN UNIV
- Filing Date
- 2026-02-09
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Current firefighting decisions rely on human experience, making it difficult to achieve a rapid, accurate, and safe response, especially when the fire situation changes rapidly, making it difficult to meet the needs of efficient firefighting.
Method used
By constructing a fire scene model and dividing it into multiple cells, obtaining measured data to determine firefighting characteristics, and performing firefighting decision-making simulations based on a human-fire game model, a target firefighting strategy is generated.
Benefits of technology
It enables efficient and accurate fire fighting decision generation, providing intelligent fire fighting strategies in dynamic fire environments, thus improving fire fighting efficiency and safety.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121684534B_ABST
Abstract
本发明提出的一种火场扑救决策生成方法、装置、电子设备及可读存储介质，方法包括步骤：获取火场实测数据，并根据火场实测数据构建火场模型，火场模型被划分为多个元胞；根据火场实测数据确定元胞对应环境的扑救特性，以得到火场模型对应的人‑火博弈模型；基于人‑火博弈模型进行扑救决策推演，以得到在人‑火博弈模型下的仿真结果；基于仿真结果得到目标扑救策略。通过构建火场模型与人火博弈模型来确定火场的状态，进而在此基础上，进行扑救决策推演，使得能够得到具体扑救决策下的仿真效果，通过仿真效果能够确定扑救策略对火场扑救起到的效果，进而基于仿真效果能够选择最佳的扑救决策，从而得到目标扑救策略。
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