Research and application of intelligent water distribution technology for sintering based on particle size identification
The stable control of mixing water distribution in sintering process has a vital influence on the stable and high quality of production.Based on the first principle of sintering and water mixing granulation,this paper adopts average gray level processing,frequency domain method enhancement and other technologies to carry out image enhancement processing.Canny operator is used to realize image edge detection and segmentation,Halcon set operation and region transformation operator for processing,so as to obtain contour features close to the real particle shape.The problem of particle size identification of mixture is solved.It was found that the difference between the physical screening and image recognition results was within±5%,which could basically represent the overall characteristics of the mixture.At the same time,it is verified that the real-time monitoring results are sensitive to the changes of the particle size data of the mixture during the water addition and subtraction process,and have a good followability for the automatic water distribution based on the identification of the particle size of the mixture in the next step.
sinteringparticle size identificationsupervised learningintelligent water distributionclosed-loop control
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