Design and implementation of gasifier flame detection system based on SCNN  

作　　者：WU Jin DAI Wei WANG Yu ZHAO Bo 吴进;DAI Wei;WANG Yu;ZHAO Bo(School of Electronic Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,P.R.China)

机构地区：[1]School of Electronic Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,P.R.China

出　　处：《High Technology Letters》2022年第4期401-410,共10页高技术通讯（英文版）

基　　金：Supported by Shaanxi Province Key Research and Development Project(No.2021GY-280);Shaanxi Province Natural Science Basic ResearchProgram Project(No.2021JM-459);National Natural Science Foundation of China(No.61834005,61772417,61802304,61602377,61634004)。

摘　　要：Flame detection is a research hotspot in industrial production,and it has been widely used in various fields.Based on the ignition and combustion video sequence,this paper aims to improve the accuracy and unintuitive detection results of the current flame detection methods of gasifier and industrial boiler.A furnace flame detection model based on support vector machine convolutional neural network(SCNN)is proposed.This algorithm uses the advantages of neural networks in the field of image classification to process flame burning video sequences which needs detailed analysis.Firstly,the support vector machine(SVM)with better small sample classification effect is used to replace the Softmax classification layer of the convolutional neural network(CNN)network.Secondly,a Dropout layer is introduced to improve the generalization ability of the network.Subsequently,the area,frequency and other important parameters of the flame image are analyzed and processed.Eventually,the experimental results show that the flame detection model designed in this paper is more accurate than the CNN model,and the accuracy of the judgment on the flame data set collected in the gasifier furnace reaches 99.53%.After several ignition tests,the furnace flame of the gasifier can be detected in real time.

关 键 词：support vector machine convolutional neural network(SCNN) support vector machine(SVM) flame detection flame image processing GASIFIER 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程] TQ038[化学工程]