基于物联网的重大危险源远程监测方法  

Remote monitoring method for major hazard sources based on Internet of things

作　　者：张震[1] ZHANG Zhen(School of Application Engineering,Anhui Business and Technology College,Hefei 231131,Anhui,China)

机构地区：[1]安徽工商职业学院应用工程学院,安徽合肥231131

出　　处：《上海电机学院学报》2022年第1期52-56,共5页Journal of Shanghai Dianji University

基　　金：安徽省高等学校自然科学研究重点资助项目(KJ2020A1096);安徽省高等学校自然科学研究重点资助项目(KJ2019A1167);安徽省省级质量工程资助项目(2020sjjd016);安徽省职业教育创新发展试验区培育库资助项目(WJ-PTZT-135)。

摘　　要：采用传统的远程监测方法在监测重大危险源时,监测结果准确率低。为了解决这一问题,提出了一种基于物联网的重大危险源监测方法,通过客户端穿过防火墙和重大危险源监控预警服务器,对基于ZigBee的通信网关发出信号,再利用传感器向远程监控中心输入模拟信号,远程监控中心接收到信号后对危险源做出云计算。根据实时监控和网络监控中心的监测情况,对城市各区域进行全面监测,在监测到有危险发生时,采用物联网的全球定位系统及时地确定危险发生的位置,并通过实验检测该监测方法的工作效果。结果表明:该方法监测温度误差为0.1℃,重大危险源识别时间较短仅为43 s,重大危险源主元识别数量高于83,具有实际应用价值。Traditional remote monitoring methods suffer from low accuracy of monitoring results when monitoring major hazards. To solve the problem, a major hazard monitoring method based on the Internet of things is proposed. The firewall and the major hazard monitoring and early warning server have been passed through the client. The signal is sent to the ZigBee-based communication gateway,and then the analog signal is input to the remote monitoring center by using the sensor. The remote monitoring center will make cloud calculations on the source of danger after receiving the signal.According to the real-time monitoring and the monitoring of the network monitoring center, the comprehensive monitoring of all areas of the city is carried out. When the danger is detected, the global positioning system of the Internet of things is used to timely determine the location of the danger. The experiment analysis verifies the effectiveness of the proposed monitoring method. The results show that the monitoring temperature error of the method is 0.1 ℃, the identification time of major hazards is only43 s, and the number of major hazards is higher than 83, which has practical value in application.

关 键 词：物联网 重大危险源 远程监测 

分 类 号：G281[文化科学]