Burden surface temperature field detection method based on multi-source information fusion

Abstract

The invention discloses a blast furnace burden surface temperature field detection method based on multi-source information fusion. In allusion to the problem that the burden surface temperature in a blast furnace can not be effectively detected, existing blast furnace multi-source detection information for indirectly reflecting the burden surface temperature is utilized, wherein the multi-source detection information includes infrared image, burden surface temperature, ore coke ratio, hot blast pressure, hot blast temperature and radar stock line. Distribution model of the burden surface temperature field is established by the adoption of an information fusion technology, an image processing technology, illation of mechanism, data driving and the like. The method provided by the invention can be used to comprehensively and accurately reflect the distribution of the temperature field in the blast furnace, has characteristics of high precision, little deviation, strong real-time performance, good visualization and the like, can be effectively used to detect the change of temperature in the furnace, provide accurate operation guidance for optimal control of the blast furnace, furnace movement diagnosis and the like, guarantee safe and stable operation of the blast furnace and realize long service life, high quality, high yield and low consumption of the blast furnace, and has good economic benefits and social benefits.

Description

technical field [0001] The invention relates to the technical field of energy and power engineering, in particular to a material surface temperature field detection method based on multi-source information fusion. Background technique [0002] The steel industry has always occupied a very important position in the development of the national economy, and there is a very close relationship between the growth rate of the national economy and the demand for steel. According to the research of "World Steel News" magazine in the United States, the demand for steel is affected by the economic growth rate. If the annual economic growth rate is 2%, the demand for steel will not change much; but if the economic growth rate is 7%, the demand for steel will It may rise by 10% t21. Statistics published by the National Bureau of Statistics in recent years show that my country's annual economic growth rate is between 8% and 9%. From this, it is predicted that my country's demand for stee...

AI Technical Summary

Problems solved by technology

The charge surface temperature of the blast furnace has a positive relationship with the gas flow, and can also effectively judge the furnace condition. For example, if the central gas flow is too heavy, it will lead to slow material velocity at the edge, which will easily cause nodules on the furnace wall and increase the coke ratio; if the central gas flow is too light, It is easy to cause the vector of the blast furnace, and the downward flow of the furnace charge is not smooth, and abnormal furnace conditions such as material suspension often occur; the edge air flow is too heavy, which will cause serious corrosion of the furnace wall, low gas utilization rate, and slow down the material speed; the edge is too light, prone to furnace wall knots Abnormalities such as tumor thickness

[0005] However, since the distribution of the temperature field in the blast furnace cannot be directly detected, the existing furnace temperature detection methods mainly include the temperature of the online furnace lining thermocouple, the temperature of the furnace wall cooling soft water, the temperature of the cross temperature m

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