造纸科学与技术2024,Vol.43Issue(8) :97-100.DOI:10.19696/j.issn1671-4571.2024.8.023

基于机器学习技术的断纸预测数学模型

A Mathematical Model for Paper Break Prediction Based on Machine Learning Technology

赵红妮 郭元春
造纸科学与技术2024,Vol.43Issue(8) :97-100.DOI:10.19696/j.issn1671-4571.2024.8.023

基于机器学习技术的断纸预测数学模型

A Mathematical Model for Paper Break Prediction Based on Machine Learning Technology

赵红妮 1郭元春1
扫码查看

作者信息

  • 1. 西安思源学院,陕西 西安,710038
  • 折叠

摘要

为实现对制浆造纸生产线断纸事件的有效预测,为车间现场工作人员争取设备调试时间,基于某造纸企业当前所掌握的故障分析结果提取了生产运行参数,并对参数进行了预处理操作,得到了原始生产数据的特征参数,根据生产数据特征建立了断纸预测数学模型.为验证断纸预测模型的有效性,将该模型应用于实际生产并对预测效果进行测试.根据测试结果可知,断纸预测模型能够在制浆造纸系统出现断纸故障前的11 分 30 秒给出告警信息,使工作人员能够在出现断纸故障之前调整设备运行参数,降低因断纸所造成的经济损失,具有一定的应用价值.

Abstract

In order to achieve effective prediction of paper breakage events in pulp and paper production lines,and to buy equipment debugging time for on-site workshop workers.This study extracted relevant production and operation parameters based on the fault analysis results currently mastered by a certain papermaking enterprise,and preprocessed the relevant parameters to obtain the characteristic parameters of the original production data.Based on the characteristics of the production data,a mathematical model for predicting paper breakage was established.To verify the effectiveness of the paper breakage prediction model,this study applied the model to actual production and tested its predictive performance.According to the test results,the paper break prediction model can give alarm information 11 minutes and 30 seconds before the paper break fault occurs in the pulp and paper system,so that the staff can adjust the equipment operating parameters before the paper break fault occurs,and reduce the economic losses caused by the paper break,which has certain application value.

关键词

断纸预测/数学模型/数据预处理/应用分析

Key words

paper breakage prediction/mathematical models/data preprocessing/application analysis

引用本文复制引用

基金项目

陕西省"十四五"教育科学规划2022课题(SGH22Y1860)

出版年

2024
造纸科学与技术
广东省造纸学会 广东省造纸研究所

造纸科学与技术

CSTPCD
影响因子:0.269
ISSN:1671-4571
段落导航相关论文