基于物联网技术的非接触式高温工业炉监测系统
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摘要
目的高温工业炉内控件分布非常复杂,温度较高,自动化监测处理水平低下,实时性监测控制能力差。易出现烧坏控件,甚至发生火灾、爆炸等危险事故。方法在调查目前的各种工业炉的使用现状后,利用互联网、物联网、云计算等先进技术,设计出一套基于物联网架构的高温工业炉内控件温度全视场实时监测控制系统。结果可通过电脑、手机等终端对炉内控件实行实时有效的全视场监测和控制。结论减少了故障和危险的发生,也为优化控制、节能减排提供了新的解决方案。
Objective The complex distribution of control units,high temperature,low level of automatic monitoring and processing,and poor real-time monitoring and control ability in high-temperature industrial furnaces is likely to lead to burning out controls,even fire,explosion and other dangerous accidents.Methods After investigation of the current status of various industrial furnaces,a real-time temperature monitoring and control system based on Internet of Things,cloud computing and other advanced technologies is designed for high-temperature industrial furnaces.Results Full-field real-time and effective monitoring and control of furnace control can be implemented through computers,mobile phones and other terminals.Conclusion This system reduces the occurrence of faults and dangers,and provides new solutions for optimizing control,energy saving and emission reduction.
Objective The complex distribution of control units,high temperature,low level of automatic monitoring and processing,and poor real-time monitoring and control ability in high-temperature industrial furnaces is likely to lead to burning out controls,even fire,explosion and other dangerous accidents.Methods After investigation of the current status of various industrial furnaces,a real-time temperature monitoring and control system based on Internet of Things,cloud computing and other advanced technologies is designed for high-temperature industrial furnaces.Results Full-field real-time and effective monitoring and control of furnace control can be implemented through computers,mobile phones and other terminals.Conclusion This system reduces the occurrence of faults and dangers,and provides new solutions for optimizing control,energy saving and emission reduction.
引文
[1] 刘纯红.基于近红外比色测温技术对炉内工件便面温度检测系统的研究[D].合肥:安徽大学,2008.
[2] 邹浩.基于物联网技术的变电站设备在线测温系统研究[D].济南:山东大学,2011.
[3] 吴海滨,刘纯红.比色测温理论中误差修正函数的研究[J].量子电子学报,2008,20(4):510-514.
[4] 仝营,顾新建,纪杨建,等.基于物联网和云计算的工业炉在线监测[J].计算机集成制造系统,2016(22):213-219.
[5] 吴海滨,陈军.比色测温双波长的选择及最小带宽的计算[J].量子电子学报,2006,23(4):569-571.
[2] 邹浩.基于物联网技术的变电站设备在线测温系统研究[D].济南:山东大学,2011.
[3] 吴海滨,刘纯红.比色测温理论中误差修正函数的研究[J].量子电子学报,2008,20(4):510-514.
[4] 仝营,顾新建,纪杨建,等.基于物联网和云计算的工业炉在线监测[J].计算机集成制造系统,2016(22):213-219.
[5] 吴海滨,陈军.比色测温双波长的选择及最小带宽的计算[J].量子电子学报,2006,23(4):569-571.