Research on Design and Optimization of Chemical Process Automatic Control Instruments Based on Intelligent Algorithm
Aiming at the design and optimization of automatic control instruments in chemical processes,a new method based on intelligent algorithms is proposed.This method makes comprehensive use of artificial intelligence technologies such as machine learning and deep learning.By mining and analyzing a large amount of historical data,an accurate process model is established,and the control strategy is optimized based on the model.Simulation experiments show that this method can effectively improve the control accuracy and response speed of automatic control instruments.In addition,a set of intelligent optimization software for automatic control instruments is developed to realize the engineering application of the algorithm.
chemical processautomatic control instrumentintelligent optimizationmachine learningdeep learning
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