用室内空气质量物联网监测系统开发火灾检测和干预能力的贡献
Radu Nicolae Pietraru1, Adriana Olteanu1, Maximilian Nicolae1
1Faculty of Automation and Computers, National University of Science and Technology Politehnica Bucharest, 060042 București, Romania.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
这项研究通过基于云的火灾检测逻辑来增强室内空气质量网络. 空气质量传感器可以识别火灾事件,帮助消防员获得建筑物的地理空间数据.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 传统的火灾检测系统有其局限性.
- 室内空气质量 (IAQ) 监测网络为增强火灾检测提供了潜力.
- 将IAQ数据与高级分析集成,可以改善火灾事件识别.
研究的目的:
- 为现有的物联网IAQ网络开发云级火灾检测逻辑组件.
- 探索IAQ传感器的使用,以检测火灾事件并将其与错误报警区分开来.
- 提供火灾事件的地理空间表示,以支持消防行动.
主要方法:
- 使用常见材料进行了五次实验室燃烧试验.
- 测量的主要环境参数:温度,湿度,PM2.5,挥发性有机化合物 (VOC) 指数和氧化 (NOx) 指数.
- 设计了一个警告机制和地理空间表示系统,利用十个物联网传感器.
主要成果:
- IAQ传感器成功检测到点火事件的影响.
- 该系统展示了将火灾事件与常规系统中引发虚假报警的非火灾事件区分开来的能力.
- 实验室测试验证了使用IAQ参数用于火灾检测的有效性.
结论:
- 基于物联网的IAQ监控可以在功能上扩展到火灾检测.
- 拟议的方法提供了补充火灾检测能力,而不是替代传统系统.
- 地理空间表示和传感器数据集成可以显著改善对紧急响应小组的支持.
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