Ash Detection of Coal Slime Flotation Tailings Based on Chromatographic Filter Paper Sampling and Multi-Scale Residual Network  

作　　者：Wenbo Zhu Neng Liu Zhengjun Zhu Haibing Li Weijie Fu Zhongbo Zhang Xinghao Zhang 

机构地区：[1]School of Mechatronic Engineering and Automation,Foshan University,Foshan,528000,China [2]China Coal Technology Engineering Group Tangshan Research Institute,Tangshan,063000,China

出　　处：《Intelligent Automation & Soft Computing》2023年第12期259-273,共15页智能自动化与软计算（英文）

基　　金：This work was supported by National Natural Science Foundation of China:Grant No.62106048.

摘　　要：The detection of ash content in coal slime flotation tailings using deep learning can be hindered by various factors such as foam,impurities,and changing lighting conditions that disrupt the collection of tailings images.To address this challenge,we present a method for ash content detection in coal slime flotation tailings.This method utilizes chromatographic filter paper sampling and a multi-scale residual network,which we refer to as MRCN.Initially,tailings are sampled using chromatographic filter paper to obtain static tailings images,effectively isolating interference factors at the flotation site.Subsequently,the MRCN,consisting of a multi-scale residual network,is employed to extract image features and compute ash content.Within the MRCN structure,tailings images undergo convolution operations through two parallel branches that utilize convolution kernels of different sizes,enabling the extraction of image features at various scales and capturing a more comprehensive representation of the ash content information.Furthermore,a channel attention mechanism is integrated to enhance the performance of the model.The combination of the multi-scale residual structure and the channel attention mechanism within MRCN results in robust capabilities for image feature extraction and ash content detection.Comparative experiments demonstrate that this proposed approach,based on chromatographic filter paper sampling and the multi-scale residual network,exhibits significantly superior performance in the detection of ash content in coal slime flotation tailings.

关 键 词：Coal slime flotation ash detection chromatography filter paper multi-scale residual network 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]