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燃气加热炉火焰视频监控系统设计
引用本文:徐望明1,2,郑超兵1. 燃气加热炉火焰视频监控系统设计[J]. 中国安全生产科学技术, 2016, 12(3): 66-70. DOI: 10.11731/j.issn.1673-193x.2016.03.012
作者姓名:徐望明1  2  郑超兵1
作者单位:(1.武汉科技大学 信息科学与工程学院,湖北 武汉 430081;2.武汉科技大学 教育部冶金自动化与检测技术工程研究中心,湖北 武汉 430081)
摘    要:为了持续监测燃气工业加热炉燃烧状况,保障锅炉运行安全,根据燃气火焰的特点,利用数字图像处理技术,设计了相应的燃气加热炉火焰视频监控系统。通过图像预处理、火焰特征提取、火焰特征分析三个步骤,可实现对炉膛火焰燃烧状态进行实时判定,包括火焰燃烧或熄灭、燃烧是否充分、是否稳定。仿真实验结果表明,该系统能准确地从监控视频中检测和识别火焰燃烧状态,并能将燃烧特征量和特征分析结果存储到数据库以供事后查询。

关 键 词:火焰视频监控  图像预处理  火焰特征提取  特征分析

Design of video surveillance system for flame in gas-fired heating furnace
XU Wangming1,2,ZHENG Chaobing1. Design of video surveillance system for flame in gas-fired heating furnace[J]. Journal of Safety Science and Technology, 2016, 12(3): 66-70. DOI: 10.11731/j.issn.1673-193x.2016.03.012
Authors:XU Wangming1  2  ZHENG Chaobing1
Affiliation:(1.College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan Hubei 430081, China; 2.Engineering Research Center for Metallurgical Automation and Detecting Technology in Ministry of Education, Wuhan University of Science and Technology, Wuhan Hubei 430081,China)
Abstract:In order to continuously monitor the combustion conditions in the gas-fired industrial heating furnace and guarantee the safe operation of the furnace, a video surveillance system for flame in gas-fired heating furnace based on the technology of digital image processing was designed according to the characteristics of gas-fired flame. Through three steps including image preprocessing, flame feature extraction and flame feature analysis, the real-time judgment on combustion conditions of flame in furnace can be realized, such as the flame is combusting or extinguished, whether the combustion is full or not, and whether the combustion is stable or not. The simulation experimental results showed that the system can detect and recognize the combustion conditions of flame from the surveillance video accurately, and the combustion features and the feature analysis results can be stored in the da-tabase for further query.
Keywords:video surveillance of flame  image preprocessing  flame feature extraction  feature analysis
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