摘要
工业现场危害气体的短时突发泄漏可能是大规模泄漏的初期表现,但现有气体检测设备响应时间较长,无法有效捕捉短时突发泄漏。针对该问题本文设计了基于传感器阵列的危害气体快速预警与识别算法,通过标准实验得到传感器标准动态响应曲线簇,拟合建立传感器阵列的标准动态响应库,以监测气体传感器阵列的实时输出值与输出值变化率与标准动态响应库做对比,快速预判待测气体的种类和浓度,将预判结果与报警阈值相比较,判断是否发出预警信号。测试实验结果表明,使用该算法可以显著缩短危害气体定性定量监测的响应时间,可显著提高对突发短时泄漏的监测预警效果。
The short-term sudden leak of hazardous gas at industrial sites may be the initial manifestation of a large-scale leak. However, the response time of existing gas detection equipment is too long to detect the short-term sudden leak effectively. Aiming at this problem, this paper describes a fast warning and identification algorithm based on sensor arrays. A family of standard dynamic response curves is obtained by standard experiments. The standard dynamic response library of sensor array is established by fitting curved surface. The gas type and concentration can be quickly predicted through comparing the real-time output value and change rate with the standard dynamic response library. Compare the pre-judgment result with the alarm threshold to determine whether an early-warning signal is issued.The experimental results indicate that the algorithm can significantly shorten the response time to monitor the hazardous gases, and can significantly improve the early warning effect of sudden short-term leakage.
作者
李明骏
LI Mingjun(SINOPEC Research Institute of Safety Engineering,Qingdao Shandong 266100,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2021年第8期1069-1074,共6页
Chinese Journal of Sensors and Actuators
关键词
气体泄漏监测
快速预警
传感器阵列
相轨迹曲线簇
gas leakage monitoring
early warning
sensor array
phase trajectory curve family
