An Intelligent Control System of Cooling Moisture in Silk Drying Cylinder Based on Machine Learning Algorithm

Abstract

The invention discloses a machine learning algorithm-based intelligent control system for cooling water in silk drying cylinders, including a data acquisition platform and an intelligent control model, wherein: the data acquisition platform includes a data acquisition module and a concrete model of the silk drying cylinders; the intelligent control system The model includes a data preprocessing module, an intelligent control algorithm network and a simulation virtual environment module. The data preprocessing module preprocesses the collected data and then inputs it into the intelligent control algorithm network; the intelligent control algorithm network generates the equipment control state according to the preprocessed data; the simulation virtual environment According to the control state of the equipment, the environment module uses the directly collected data for simulation, obtains the control state of the equipment at the next moment and feeds it back to the intelligent control algorithm network; when the intelligent control algorithm network needs to adjust the process parameters, it generates equipment according to the control state of the equipment The control command is sent to the main control PLC of the silk drying cylinder through the data acquisition platform to control the adjustment of the operating parameters of the silk drying cylinder.

Description

technical field [0001] The invention belongs to the technical field of silk-making and drying drums, and in particular relates to an intelligent control system for cooling water of silk-making and drying drums based on a machine learning algorithm. Background technique [0002] With the rapid advancement of Internet technology, information digital technology, and artificial intelligence technology, it is possible to promote intelligent manufacturing on a large scale. After more than ten years of technology accumulation, intelligent manufacturing has developed rapidly around the world. Based on new digital information technology, combined with new manufacturing processes and materials, intelligent manufacturing runs through all aspects of product design, production, management, and service. The general term for advanced manufacturing processes, systems and models, which has the functions of self-perception of information depth, self-decision optimization and precise control o...

AI Technical Summary

Problems solved by technology

Due to the characteristics of strong nonlinearity, uncertainty and hysteresis in the control of the drying process, coupled with the special nature of the tobacco itself, the moisture control in the drying process becomes very complicated.

The traditional PID control has problems such as large response steady-state error and long response time, which is prone to dry ends, resulting in increased process losses; manual adjustment of the cylinder wall temperature during the production process has risks such as untimely response and subjective judgment errors, ( It is more obvious in the process of material head control) These may affect the final quality of cut tobacco

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