基于物联网的高精度高炉热负荷监测系统  

High Accuracy Blast Furnace Heat Load Monitoring System Based on Internet of Things

作　　者：齐仁龙[1] 张庆辉[2] 张亚超[1] QI Ren-long;ZHANG Qing-hui;ZHANG Ya-chao(School of Electrical Engineering,Zhengzhou University of Science and Technology,Zhengzhou 450064,China;College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China)

机构地区：[1]郑州科技学院电气工程学院,河南郑州450064 [2]河南工业大学信息科学与工程学院,河南郑州450001

出　　处：《仪表技术与传感器》2020年第1期87-91,共5页Instrument Technique and Sensor

基　　金：2015年度河南省技术创新引导专项产学研合作项目(152107000057)

摘　　要：针对传统高炉热负荷监测系统存在测量精度低、数据传输繁琐等弊端,设计了一种基于物联网的高精度高炉热负荷监测系统。系统利用Pt1000作为高炉水温监测传感器,选用比率电桥取代普通电桥作为Pt1000的采样电路,提高了系统采集的精度。利用短距离无线通讯实现高炉各个点水温监测数据的组网传输,采样4G模块将高炉各点的水温数据发送到服务器数据中心。实际试验结果表明,在有障碍物的情况下,节点与终端距离小于40 m时,通讯误码率为0%;系统对高炉水温测量的误差不超过±0.03℃,明显优于行业标准的±0.5℃,具有较高的应用价值。Aiming at the disadvantages of traditional blast furnace heat load monitoring system,such as low measurement accuracy and tedious data transmission,a high precision blast furnace heat load monitoring system based on Internet of Things was designed.The system used Pt1000 as the temperature monitoring sensor of blast furnace and adopted the ratio bridge instead of the ordinary bridge as the sampling circuit of Pt1000,which improved the precision of the system collection.The short-distance wireless communication was used to realize networking transmission of water temperature monitoring data at each point of the blast furnace.The sampling 4G module sent water temperature data at each point of the blast furnace to the server data center.The actual test results show that in the case of obstacles,the communication error rate is 0%when the distance between the node and the terminal is less than 40 mm.System for blast furnace temperature measurement error is less than±0.03℃,obviously better than the industry standard of±0.5℃,has higher application value.

关 键 词：物联网 PT1000 比率电桥 短距离无线通信 

分 类 号：TP934[自动化与计算机技术]