基于NB-IoT和云平台的瓦斯浓度监测与预警系统的研究  

Research on Gas Concentration Monitoring and Early Warning System Based on NB⁃IoT and Cloud Platform

作　　者：肖军 刘洲洲 王琳 吴宇 陈鹏 XIAO Jun;LIU Zhouzhou;WANG Lin;WU Yu;CHEN Peng(School of Electronic Engineering,Xi'an Aeronautical University,Xi'an Shaanxi 710077,China;School of Computing,Xi'an Aeronautical University,Xi'an Shaanxi 710077,China)

机构地区：[1]西安航空学院电子工程学院,陕西西安710077 [2]西安航空学院计算机学院,陕西西安710077

出　　处：《机床与液压》2021年第6期60-63,共4页Machine Tool & Hydraulics

基　　金：陕西省高校科协青年人才托举计划项目(20190114);陕西省教育厅专项科研计划项目(19JK0432);国家自然科学基金面上项目(61871313);校级科研基金项目(2019KY1119,2019KY0208);校级高等教育研究项目(2019GJ1006)。

摘　　要：瓦斯浓度是石油化工、煤矿开采作业中危害生产安全的重要因素,因此必须通过科学的手段实现瓦斯浓度快速、精确的检测。以煤矿井下瓦斯浓度监测为研究对象,探讨光纤气体传感器的工作原理,并基于光纤气体传感器进行井下瓦斯浓度监测系统设计。经过模拟实验和实测检验,验证了所设计的系统灵敏度高、响应速度快,适用于恶劣工况下的气体浓度检测。Gas concentration is an important factor endangering production safety in petrochemical and coal mining operations, soit is necessary to achieve rapid and accurate concentration detection for this gas through scientific means. The detection of undergroundcoal mines gas concentration was taken as the research object, the working principle of the optical fiber gas sensor was discussed, andthe underground gas concentration monitoring system was designed based on the optical fiber gas sensor. Through simulation experimentand actual measurement, it is verified that the designed system has high sensitivity and fast response speed, and it is suitable for gasconcentration detection under harsh working conditions.

关 键 词：NB-IoT 瓦斯浓度监测 光纤气体传感器 无线传感器网络 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]