Rotary Cement Kiln: A Review to The Control by Expert Systems
Abstract
This article presents a review of research carried out using different control strategies applied in rotary cement kilns, a system where clinker is manufactured, an essential material for cement production. This exploration mentions studies that have been developed from the eighties to the present, highlighting in each one the control methodology used, the benefits obtained in the process and its future applications, in order to provide the reader with a global vision of the use of control techniques for rotary cement kilns and how scientific advances, over the years, have contributed to this industry in the efficiency and improvement of its production processes; therefore, contributions and control methods such as expert systems (ES), model predictive control (MPC), artificial neural networks and fuzzy logic are mentioned. At the end of the aforementioned review, it is inferred that artificial intelligence and industry 4.0 technologies that are currently available such as cloud computing, the processing of large volumes of data, the use of digital twins, the execution of machine learning algorithms and it’s prediction tools, together with the application of ES and other control techniques mentioned, would allow advanced control, which can respond satisfactorily to current production needs and offer multiple benefits such as response time control, stability, and improvements in production and material quality in a rotary kiln.
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