摘要
为提升光纤传感器在建筑火灾预警中的适用性,本研究针对单模、多模普通光纤开展基于常用实际火灾升温曲线的高温试验以及感温性能分析,进而遴选感温性能更适用于建筑火灾条件下的传感器。同时,基于试验数据建立升温误差修正模型,以提升测温精度。结果表明:在测温稳定性方面,多模光纤传感器远优于单模光纤传感器,多模光纤传感器感温性能在建筑火灾预警中适用性更好,且更具有修正价值,初步建立的升温误差修正模型使其测温平均绝对误差降低至13.12℃。利用分布式光纤进行高精度建筑火灾地图绘制,成为火灾监测预警、疏散救援以及结构倒塌预测的技术关键。
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 multi-mode 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.
作者
王岚
孟弘融
曲冠华
任蕾
Wang Lan;Meng Hongrong;Qu Guanhua;Ren Lei(Tianjin Fire Science and Technology Research Institute of MEM,Tianjin 300381,China;International School of Engineers,Tianjin University,Tianjin 300072,China;Tianjin Key Laboratory of Building Physical Environment and Ecological Technology,Tianjin University,Tianjin 300072,China;School of Architecture,Tianjin University,Tianjin 300072,China)
出处
《消防科学与技术》
CAS
北大核心
2022年第10期1425-1429,共5页
Fire Science and Technology
基金
应急管理部消防救援局重点攻关项目(2020XFZD02)。
关键词
分布式光纤
火灾经验模型
感温性能
升温曲线
distributed optical fiber
fire empirical model
temperature sensing performance
heating curve
curve fitting
