使用实时传感器和GPS算法进行增强的森林火灾疏散计划
Vishal Sharma1, Deepali Nagpal1, Suhasini Monga2
1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India.
Scientific reports
|August 29, 2024
概括
这项研究引入了一种用于最佳森林火灾疏散路线的新算法,大大提高了安全性和效率. 这种新方法使用实时数据和电路方法来实现更快,更适应的疏散计划.
科学领域:
- 计算机科学 计算机科学
- 运营研究 运营研究
- 灾害管理 灾害管理
背景情况:
- 森林火灾带来重大风险,造成死亡和经济损失.
- 在森林火灾期间,最佳的疏散策略对于公共安全至关重要.
- 使用导航系统和图形穿越的现有方法有局限性.
研究的目的:
- 开发一种新的,高效的算法,以实现最佳的森林火灾疏散路线.
- 通过在森林火灾中最大限度地减少人类伤亡来提高居民安全.
- 为了应对森林火灾蔓延的不可预测性,在疏散计划中.
主要方法:
- 基于斯皮尔曼和的电路方法提出了一个新的算法.
- 利用最大流量网络原则来优化疏散路径.
- 集成的实时传感器和全球定位系统 (GPS) 数据.
主要成果:
- 实现了几乎线性时间计算,超过了以前的研究.
- 开发了一种适应森林火灾蔓延不可预测性质的方法.
- 证明了居民撤离的更优的行动方案.
结论:
- 这种新的算法在森林火灾疏散规划方面取得了重大进展.
- 实时数据集成提高了疏散策略的适应性和有效性.
- 这种方法优先考虑居民的安全,并减少森林火灾期间的潜在伤亡.
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