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基于红外测温原理的转炉下渣检测系统 被引量:9

Slag detection system based on infrared temperature measurement
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摘要 根据转炉出钢过程中控制下渣量的需要,设计了基于红外测温原理的转炉出钢下渣检测系统:首先使用红外测温系统对出钢注流的温度进行测量,并根据钢水、钢渣在远红外波段红外辐射率具有较大差异这一特性对钢水、钢渣进行区分,实时计算含渣量;在不同的炼钢现场(不同的大气透过率、环境温度、出钢温度等),钢渣、钢水的辐射率是变化的,因此提出一种标定方法,在一定的使用环境下,对区分钢水、钢渣的温度阈值进行标定;提出一种快速寻找出钢注流边缘的方法,从而完成出钢注流跟踪,避免由于转炉角度变化(注流移动),造成无法计算含渣量的情况。现场的实验结果表明:该方法能够控制钢包中钢渣的含量,较好满足了钢水炉外精炼的要求。 According to the need of controlling the slag content in the process of converter tapping, a slag detection system based on the principle of infrared temperature measurement was designed. Firstly the temperature of pouring stream was measured using the infrared temperature measurement system. The molten steel and slag were distinguished according to their infrared emissivities that had big difference in far infrared band and the real-time amount of slag contained was calculated. In different steelmaking sites (different atmospheric transmittances, different ambient temperatures, different tap temperatures, etc), the infrared emissivities of the molten steel and slag were changed, therefore a calibration method of the temperature threshold that was used to distinguish the molten steel and slag in a certain environment was proposed. A method that could quickly find the edge of the pouring stream was applied to complete the tracking of pouring stream, which could avoid the amount of slag was incapable of being calculated due to the change of converter angle (moving of pouring stream). Experimental results show that this method controls the amount of slag in the steel ladle and meet the requirement of molten steel refining.
出处 《红外与激光工程》 EI CSCD 北大核心 2014年第2期469-473,共5页 Infrared and Laser Engineering
基金 天津市应用基础及前沿技术研究计划(青年基金项目)(11JCYBJC01000) 天津市应用基础及前沿技术研究计划(青年基金项目)(12JCQNJC02500)
关键词 转炉出钢 红外测温 钢渣 注流跟踪 converter tapping infrared temperature measurement slag tracking of pouring
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参考文献7

  • 1Viale M, Martin O, Muratori F, et al. Application of online infrared thermography in steel making industry [C]// Proceedings of SPIE the International Society for Optical Engineering, 2007: 6541-6551.
  • 2Peacock G R. Thermal imaging of liquid steel and slag in a pouring stream[C]//SPIE, 2000, 4020: 50-60.
  • 3李培玉,甘涛,沈国振.基于红外热成像原理的嵌入式下渣检测方法[J].钢铁研究学报,2010,22(7):59-63. 被引量:5
  • 4Usamentiaga Rub6n, Perez Luis, Molleda Julio, et al. Temperature measurement of streams of molten pig iron during pouting using infrared computer vision [C]//I2MTC, 2011:89 - 94.
  • 5Usamentiaga Rub6n, Molleda Julio, Garcia Daniel F, et al. Temperature measurement of molten pig iron with slag characterization and detection using infrared computer vision [J]. IEEE Transactions Instrumentation and Measurement, 2012, 61(5): 1149-1159.
  • 6Usamentiaga Rub6n, Garcia Daniel F, Molleda Julio, et al. Temperature measurement using the wedge method: comparison and application to emissivity estimation and compensation [J]. IEEE Transactions Instrumentation and Measurement, 2011, 60(5): 1768-1778.
  • 7魏合理,陈秀红,戴聪明,杜荣强.地基大气背景红外光谱辐射特性测量[J].红外与激光工程,2012,41(2):284-290. 被引量:23

二级参考文献18

  • 1张天舒,刘文清,高闽光,陆亦怀,刘建国,刘诚,徐亮,朱军.机载FTIR地球大气红外背景辐射光谱特征研究[J].光谱学与光谱分析,2006,26(6):1018-1021. 被引量:4
  • 2章文星,吕达仁,常有礼.地基热红外亮温遥感云底高度可行性的模拟研究[J].地球物理学报,2007,50(2):354-363. 被引量:31
  • 3Julius E, TheissenW, Block F R. Function and Application of Electromagnetic Slag Detection System [J]. WorId Steel & Metalworking, 1987(8) : 56.
  • 4Viale M, Martin O, Muratori F, et al. Application of On lane Infrared Thermography in Steel Making Industry [C]//Pro ceedings ot SPIE The International Society for Optical Engineering. Orlando: SPIE,2007:6541.
  • 5Goldstein D V, Sharan A, Stofannak J A. Infrared Imaging for BOF Slag Detection [J]. Iron & Steelmaker,2000,27(7):31.
  • 6Von H, Rau R. Application of Thermo C-raphic Slag Detection[J]. Ingo MPT Metallurgical Plant and Technology Interna tional,2002,25(1) :52.
  • 7Pal N R, Pal S. A Review on Image Segmentation Techniques[J].Pattern Recogn,1993,26(9):1277.
  • 8CHENG H D, CHEN Y H, JIANGX H. ThresholdingUsing Two Dimensional Histogram and Fuzzy Entropy Principle [J].IEEE Transactions on hnage Process,2000,9(4):732.
  • 9Sankur B, Sezgin M, A Survey Over Image Thresholding Techniques and Quantilative Performance Evaluation [J].Electron Imaging, 2004,13(1) : 146.
  • 10Otsu N. A Threshold Selection Method From Grey Level His tograms[J]. IEEE Transactions on Systems Man Cybernet, 1979,9(1):62.

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