一个道火灾检测方法,基于一个改进的Dempster-Shafer证据理论
Haiying Wang1, Yuke Shi1, Long Chen1
1Key Laboratory of Road Construction Technology and Equipment of Ministry of Education, Chang'an University, Xi'an 710064, China.
Sensors (Basel, Switzerland)
|October 16, 2024
概括
本研究引入了一种改进的Dempster-Shafer (DS) 证据理论,用于使用多传感器数据融合检测道火灾. 该方法提高了检测的准确性和速度,提高了道环境中的安全性.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 安全科学安全科学 安全科学
背景情况:
- 道火灾带来了重大安全风险,需要可靠的检测系统.
- 现有的多传感器火灾检测方法经常存在数据模两可和不一致的问题.
- 德姆斯特-谢弗 (DS) 证据理论为处理不确定性提供了一个框架,但可以面对证据冲突问题.
研究的目的:
- 提出一个改进的Dempster-Shafer (DS) 证据理论,用于在道火灾检测中强大的多传感器数据融合.
- 解决和解决经典DS理论中固有的证据冲突问题.
- 提高道火灾检测的准确性和速度,以提高人员安全.
主要方法:
- 开发了一个双层多传感器数据融合框架.
- 第一个层次涉及同类传感器数据的特征融合和基本概率分配 (BPA) 计算.
- 第二层通过计算和规范证据冲突来优化BPA,然后使用经典的DS理论进行集成.
主要成果:
- 改进的DS证据理论在六种模拟火灾场景中实现了从67.5%到84.1%的检测概率.
- 大约在2.4秒内确定了火灾的发生.
- 与传统方法相比,该方法在检测准确度上显著改善 (64.7%至70%).
结论:
- 提议的改进的DS证据理论为道火灾检测中的多传感器数据融合提供了一种可行和优越的方法.
- 提高检测的准确性和速度对于确保道环境中人员安全至关重要.
- 这种方法有效地减轻了传感器网络中数据模糊性和证据冲突的问题.
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