Sintering machine tail red cross section effective image automatic capture method

Abstract

The invention discloses a sintering machine tail red cross section effective image automatic capture method, which includes the following steps: 1 image capture, 2 image inspection and triggering, 3 image pre-processing, and 4 image effectiveness inspection. The image capture method in step 1 is to continuously capture sintering machine tail red cross section real-time images through an image capture device. Image inspection and triggering in step 2 is to extract the captured sintering machine tail red cross section real-time images according to a certain time period and then to establish an independent analysis thread for every target image. Image pre-processing in step 3 is conversion-to-gray-scale processing and conversion-to-red-light red green blue (RGB) image processing for the captured original images. The conversion-to-red-light RGB image processing means that G value and B value of the RGB image of the original images are led to be zero, and only the RGB images of the R value are reserved. Image effectiveness inspection in step 4 comprises image effectiveness feature extraction and image effectiveness feature analysis.

Description

technical field [0001] The invention relates to an automatic image capture method, in particular to an automatic image capture method for an effective image of a red section of a sintering machine tail. Background technique [0002] In sintering production, the tail of the sintering machine is the end point of the sintering process, and the red section image of the tail of the sintering machine is the final and most comprehensive reflection of the working condition information of the sintering process. The characteristics of various production process parameters such as over- and under-burning, moisture, FeO, etc. can be obtained through the cross-sectional image of the red tail of the sintering machine. Therefore, the correct acquisition of the cross-sectional image of the red tail of the sintering machine is the premise and guarantee for the correct analysis of the results. The image of the end surface of the sintering machine has a certain periodicity, but this periodicit...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the above problems, and the present invention provides a method for automatically capturing effective images of the tail section of a sintering machine, which solves the problem of automatically, real-time, long-term, and continuous capture of effective images of the section of the tail section in the harsh environment of sintering production, And it can operate independently without contact with other basic automation methods

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