主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2022, Vol. 41 ›› Issue (10): 1376-1379.

• • 上一篇    下一篇

小尺度和中尺度产烟模型烟气毒性评价研究

邓小兵，李西黎，朱 剑   

  1. （应急管理部四川消防研究所，四川 成都 611830）
  • 出版日期:2022-10-15 发布日期:2022-10-15
  • 通讯作者: 应急管理部四川消防研究所基科费项目（T2019880401）
  • 作者简介:作者简介：邓小兵（1980- ），男，四川德阳人，应急管理部四川消防研究所副研究员，主要从事结构体火灾研究和消防标准化工作，四川省成都市都江堰市学府路358号，611830。

Study on toxicity evaluation of fire effluents based on bench-scale and middle-scale smoke generation model

Deng Xiaobing, Li Xili, Zhu Jian   

  1. (Sichuan Fire Science and Technology Research Institute of MEM, Sichuan Chengdu 611830, China)
  • Online:2022-10-15 Published:2022-10-15

摘要： 摘 要：以现行燃烧性能分级框架内的小尺度动态管式炉法和中尺度单体燃烧试验为产烟模型，选取典型阻燃和非阻燃材料开展燃烧产烟试验，利用FTIR等气体分析技术实时测量烟气组分数据，借助有效剂量分数（FED）等计算模型进行烟气毒性量化研究。结果表明：根据动态管式炉产烟气体分析计算的FED1值约为单体燃烧试验FED3max值的4～17倍；难燃材料单体燃烧试验获得的FED值较小，通常在0.15以下，而易燃材料的FED值则高达0.65；以小尺度动态管式炉和中尺度单体燃烧试验为产烟模型，应用毒性组分计算模型FED1和FED3，可对材料在火灾无焰燃烧（氧化热解）阶段和通风充足的有焰燃烧阶段的烟气毒性做出具有代表性的有效便捷评价。

关键词: 关键词：动态管式炉法, 单体燃烧试验, 产烟模型, 烟气毒性

Abstract: Abstract: To improve the applicability of fiber optic sensors in building fire warning, this study conducts high temperature experiments on single-mode and multi-mode fiber optic sensors based on fire temperature rise curve, and analyzes their temperature sensing performance, and then selects the sensor whose temperature sensing performance suits building fire better. Based on the experimental data, a temperature rise error correction model was established to improve the temperature measurement accuracy. The results show that the multimode fiber optic sensor is much better than the single-mode fiber optic sensor in terms of temperature measurement stability, and has more correction value. The temperature rise error correction model built can lower the temperature measurement mean absolute error to 13.12 ℃. Using distributed optical fiber to draw high-precision building fire map has become the technical key of fire monitoring and early warning, evacuation and rescue, and structural collapse prediction.

Key words: Key words: distributed optical fiber, fire empirical model, temperature sensing performance, heating curve, curve fitting