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| Paper Drying Process Energy Consumption of Non-best Reasons Traceable Model Based on T-PLS-GRA |
| Received:May 19, 2023 Revised:June 06, 2023 |
| DOI：10.11981/j.issn.1000-6842.2024.01.91 |
| Key Words:paper drying process;energy efficiency;non-optimal cause identification;machine learning |
| Fund Project:国家自然科学基金（62303265）；浙江省重点研发计划（2024C03120）；浙江省基础公益研究计划（LTGN24B060001，LGN21C030001）；衢州市科技计划项目（2023K230）。 |
| Author Name | Affiliation | Postcode | | DAI Jingbo | College of Chemical Engineering， Zhejiang University of Technology， Hangzhou， Zhejiang Province， 310014
College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | CHEN Xiaobin* | College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | FANG Ziyan | College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | ZHENG Qifu* | College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | ZHANG Yao | College of Chemical Engineering， Zhejiang University of Technology， Hangzhou， Zhejiang Province， 310014
College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | ZHANG Min | College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | DONG Yunyuan | College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 | | LIAO Jianming | College of Chemical and Material Engineering， Quzhou University， Quzhou， Zhejiang Province， 324000 | 324000 |
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| 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 production 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 different 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 accuracy 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 papermaking 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. |
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