Weiming Yin , Yefa Hu , Guoping Ding , Lei Feng , Xuefei Chen
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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.
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.