煤磨数字孪生虚拟模型构建研究

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

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引用次数: 0

摘要

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。

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

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.

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来源期刊

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.