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| 造纸工业高级控制技术和先进控制系统综述 |
| Review of Advanced Control Technologies and Modern Control Systems for Paper Industry |
| 收稿日期：2020-05-11 |
| DOI：10.11980/j.issn.0254-508X.2020.08.002 |
| 关键词: 造纸工业 高级过程控制算法 软测量技术 故障诊断技术 纸病检测技术 先进控制系统 |
| Key Words:paper industry advanced process control algorithms soft sensing technology fault diagnosis technologies paper defect detect technologies modern control systems |
| 基金项目:陕西省技术创新引导专项（2020CGHJ-007）；咸阳市工业科技重点研发计划项目（2019K02-14）。 |
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| 摘要:造纸工业在向工业4.0方向不断迈进的过程中，高级控制算法、控制策略和控制系统将扮演越来越重要的角色。本文以过程控制理论及自动化技术的发展和行业应用为主线，对在造纸工业中广泛采用的共性自动化技术进行概述，并对造纸工业自动化、信息化和智能化的未来发展进行展望，旨在对实用化的造纸自动化技术进行归纳总结，为读者阅读提供方便。实现制浆造纸生产过程的信息化和智能化，必须确保过程数据在线检测的全面性和准确性。为此，本文在对制浆造纸过程高级控制算法和控制系统进行综述的同时，还重点总结了实现造纸工业4.0必不可少的一些间接测量技术、运行状态评估技术和纸品质量检测技术，具体包括关键参数的在线软测量技术、关键设备的故障诊断技术和纸病在线检测技术。 |
| Abstract:In the process of approaching to Industrial 4.0 of paper industry, advanced control algorithms, control strategies and control systems will perform more and more significant roles in paper industry. Along with the main clue of the development of process control theory and automation technology and their applications in industries, the widely used common automation technology in paper industry is reviewed in this paper. And the future development of the automatization, informationization and intelligentization of paper industry is also prospected. The main purpose of this paper is to summarize the practical papermaking automation technology, and thus to provide reference to readers. It is essential to ensure the comprehensiveness and accuracy of pulping and papermaking proces data online to implement the informationization and intelligentization. Therefore, this paper not only sums up the advanced control algorithms and control systems, but also illustrates some important and necessary technologies for realizing the Paper Industry 4.0 in detail, such as indirect measurement technology, running state evaluation technology and paper quality detection technology. These technologies discussed in this paper consist of online soft sensing technology for key process parameters, fault diagnosis technology for key equipment and paper defect online detecting technology. |
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