Blast furnace fly ash constituent analysis method based on multi-feature analysis

Abstract

The invention discloses a blast furnace fly ash constituent analysis method based on multi-feature analysis, wherein a digital camera is used for acquiring images, and a computer image processing system is used for analyzing the constituent of the blast furnace fly ash. According to the method provided by the invention, the computer system is used for processing the images so as to obtain the types of the blast furnace fly ash, the condition that a good automatic classification method for the blast furnace fly ash can be found absolutely is indicated, sequentially, the constituents of the fly ash can be analyzed automatically and accurately, and constituent separation and follow-up utilization of each part of the blast furnace fly ash are guaranteed; and the subjectivity of artificial judgment is avoided, the measurement is fast, the result is accurate, and the labor intensity is low.

Description

technical field [0001] The invention relates to a composition analysis method of blast furnace dedusting ash based on multi-feature analysis in the field of metallurgy, in particular to the use of a digital camera and a computer image processing system, which can automatically analyze and identify the material composition of blast furnace dedusting ash. Background technique [0002] At present, the processing methods for dust removal ash produced by ironmaking blast furnaces are mainly used as auxiliary raw materials for iron ore agglomeration and used as blast furnace injection together with pulverized coal. The effect of the former is far inferior to the latter, but the dust removal The iron grade of iron fluctuates greatly, and the content of harmful elements is high and easy to be enriched in the blast furnace cycle. Therefore, it is necessary to find a new method to treat and utilize the blast furnace dust more reasonably. [0003] In the field of image processing, ther...

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Problems solved by technology

The patents disclosed above show that computer image processing technology has been widely used in ironmaking raw materials, but for blast furnace dust with relatively complex components, it does not involve how to classify and identify the components of blast furnace dust. The composition analysis method of blast furnace dust still needs to be calibrated manually, and manual judgment is very subjective. It is very difficult to distinguish various components in dust in a detailed and reasonable manner, such as appearance, properties It is difficult to analyze the unburned coal powder and residual carbon that are almost the same, and the manual distinction is slow, time-consuming and laborious, and is affected by the environment, which requires high requirements for the personnel involved in the calibration

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