基于物联网技术的非接触式高温工业炉监测系统
Based on the Technology of Internet of Non-Contact Monitoring System for High Temperature Industrial Furnace
DOI: 10.12677/CSA.2018.85075, PDF,    科研立项经费支持
作者: 陈明武*, 唐桂林:安徽邮电职业技术学院计算机系,安徽 合肥
关键词: 全视场物联网优化控制实时监测云计算Whole Field of View The Internet of Things Optimal Control Real-Time Monitoring Cloud Compu-ting
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:在调查了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。
Abstract: Purpose: The distribution of the high temperature industrial furnace controls is very complex and the temperature is very high; the level of automation monitoring processing is very low; the ability of real-time monitoring and control is poor. It is easy to have a burning out control, and even there are fire, explosion and other dangerous accidents. Method: After investigating the current status of the use of various industrial furnaces, using advanced technologies such as the Internet, the Internet of Things, and cloud computing, a set of real-time monitoring and control systems for temperature in high-temperature industrial furnaces based on the structure of the Internet of Things is designed. Result: It is real-time and effective to have a whole field of monitoring and control, using a computer, mobile phone and other terminal implements. Conclusion: Not only reducing the occurrence of the fault and danger, but also providing a new solution for optimization control, energy conservation and emissions reduction.
文章引用:陈明武, 唐桂林. 基于物联网技术的非接触式高温工业炉监测系统[J]. 计算机科学与应用, 2018, 8(5): 664-668. https://doi.org/10.12677/CSA.2018.85075

参考文献

[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]: [硕士学位论文]. 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]: [硕士学位论文]. 山东: 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, 岳芳. 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.
[6] 浙江宇视科技有限公司. 构建大规模视频监控系统[M]. 杭州: 宇视认证系列教程, 2014: 83-146.