中国造纸学报2024，Vol.39Issue(1)：91-99,9.DOI:10.11981/j.issn.1000-6842.2024.01.91
基于T-PLS-GRA的造纸干燥过程能耗非优原因追溯模型
Paper Drying Process Energy Consumption of Non-best Reasons Traceable Model Based on T-PLS-GRA
摘要
Abstract
In this study,an energy consumption non-optimal cause identification model combining T-PLS total latent structural projection and GRA grey correlation analysis in paper drying process was established.The model firstly removed the non-core characteristic variables of pro-duction data in paper drying process based on the mechanism knowledge and variance characteristics,and eliminated the outliers through the 3σ principle and box plots;then the model used the data of pre-sizing quantitatively and winding speed,and realized the classification of dif-ferent production states by combining with the K-Means clustering algorithm;finally,in view of the different production states,the model compared the economic indexes calculation models established by T-PLS and PLS,and choosed energy efficiency non-optimal reason tracing model based on the T-PLS-GRA in paper drying process.The model was verified with the real-time production data of a paper mill in China,and the results showed that the model judged the industrial production state process based on the economic indexes,and the prediction accu-racy rate of the non-optimal process was 77.7％,which can better track the change process of the running state of the equipment in the paper-making process.The model can trace the reasons for the non-optimal state and the frequency of occurrence of the largest contributing variable in the non-optimal production state during the whole working process,which provides a reference basis for the enterprise to improve the process and optimize the energy saving.关键词
造纸干燥过程/能效/非优原因追溯/机器学习Key words
paper drying process/energy efficiency/non-optimal cause identification/machine learning分类
轻工纺织引用本文复制引用
戴景波,陈晓彬,方子言,郑启富,张垚,张敏,董云渊,廖建明..基于T-PLS-GRA的造纸干燥过程能耗非优原因追溯模型[J].中国造纸学报,2024,39(1):91-99,9.基金项目
国家自然科学基金(62303265) （62303265）
浙江省重点研发计划(2024C03120) （2024C03120）
浙江省基础公益研究计划(LTGN24B060001,LGN21C030001) （LTGN24B060001,LGN21C030001）
衢州市科技计划项目(2023K230). （2023K230）
