基于改进的殖民地算法设计智能消防和智能逃生路线规划系统
Nan Li1, Zhuoyong Shi2, Jiahui Jin1
1School of Electrical and Information Engineering, Xi'an Jiaotong University City College, Xi'an 710018, China.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
本研究介绍了使用改进的殖民地算法实时的消防逃生路线系统. 它通过基于火灾蔓延的动态规划路线来提高安全性,减少了17.1%的疏散距离.
科学领域:
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
- 安全科学安全科学 安全科学
背景情况:
- 目前大型建筑的消防逃生路线规划缺乏实时适应火灾条件.
- 现有的方法不能充分将火灾传播动态纳入疏散策略.
研究的目的:
- 开发实时火灾监测和动态路径规划系统,以提高建筑安全.
- 提高消防逃生路线规划的准确性和效率.
主要方法:
- 实现了带有传感器的层次系统,用于实时数据收集和LabVIEW进行分析.
- 开发了一种火灾传播模型和一个与A*算法集成的增强的殖民地算法 (ACA).
- 整合了一个数据完整性纠正模型,用于在高温下检测传感器异常.
主要成果:
- 增强的ACA系统展示了实时的火灾监控和高效的逃生路线规划.
- 与传统的ACA相比,实现了加快的融合和更好的实时性能.
- 这导致逃生轨道长度平均减少了17.1%.
结论:
- 开发的系统显著提高了大型建筑的疏散效率和安全性.
- 集成火灾传播建模和改进的ACA为动态逃生路线规划提供了可靠的解决方案.
- 这种方法有助于尽量减少火灾紧急情况期间的潜在伤亡.
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