Research on the construction of digital twin virtual model of coal mills

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2024-11-14 DOI:10.1016/j.measurement.2024.116235
Weiming Yin , Yefa Hu , Guoping Ding , Lei Feng , Xuefei Chen
{"title":"Research on the construction of digital twin virtual model of coal mills","authors":"Weiming Yin ,&nbsp;Yefa Hu ,&nbsp;Guoping Ding ,&nbsp;Lei Feng ,&nbsp;Xuefei Chen","doi":"10.1016/j.measurement.2024.116235","DOIUrl":null,"url":null,"abstract":"<div><div>The high-precision model of coal mills can enable the accurate estimation of significant parameters that cannot be measured inside, as well as the necessary foundation for the intelligent coal-fired power unit. Addressing the problems of insufficient precision and lacking the online optimization capability of available coal mill models, this study proposes a method for constructing the digital twin virtual model of coal mills. Firstly, the working process and material flow of the equipment are analyzed, and a model of the coal mill considering the joint influence of the three forces and component abrasion is proposed. Then the model containing three processes of feeding-grinding, drying-separating, and component abrasion is constructed, and the parameters in the model are identified offline by the genetic algorithm. Finally, an online optimization mechanism considering workload adjustment and performance decay is designed, and the effectiveness of the developed method is verified by utilizing the actual operation data.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116235"},"PeriodicalIF":5.2000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224124021201","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The high-precision model of coal mills can enable the accurate estimation of significant parameters that cannot be measured inside, as well as the necessary foundation for the intelligent coal-fired power unit. Addressing the problems of insufficient precision and lacking the online optimization capability of available coal mill models, this study proposes a method for constructing the digital twin virtual model of coal mills. Firstly, the working process and material flow of the equipment are analyzed, and a model of the coal mill considering the joint influence of the three forces and component abrasion is proposed. Then the model containing three processes of feeding-grinding, drying-separating, and component abrasion is constructed, and the parameters in the model are identified offline by the genetic algorithm. Finally, an online optimization mechanism considering workload adjustment and performance decay is designed, and the effectiveness of the developed method is verified by utilizing the actual operation data.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
煤磨数字孪生虚拟模型构建研究
高精度的磨煤机模型可以准确估算磨煤机内部无法测量的重要参数,也是火电机组智能化的必要基础。针对现有磨煤机模型精度不够、缺乏在线优化能力等问题,本研究提出了一种磨煤机数字孪生虚拟模型的构建方法。首先,分析了设备的工作过程和物料流,提出了考虑三力共同影响和部件磨损的磨煤机模型。然后构建了包含给料-研磨、干燥-分离和部件磨损三个过程的模型,并通过遗传算法离线确定了模型中的参数。最后,设计了一种考虑工作量调整和性能衰减的在线优化机制,并利用实际运行数据验证了所开发方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
期刊最新文献
Shape sensing technology based on fiber Bragg grating for flexible instrument Characterization and visualization of gas–liquid two-phase flow based on wire-mesh sensor Optimizing the quality characteristics of glass composite vias for RF-MEMS using central composite design, metaheuristics, and bayesian regularization-based machine learning Opto-mechanical-thermal integration design of the primary optical system for a tri-band aviation camera Calibration of multi-robot coordinates for collaborative wire arc additive manufacturing using cross-source 3D point cloud models
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1