Automatic flame cotton production control system based on a neural network

Abstract

The invention discloses an automatic flame cotton production control system based on a neural network. The automatic flame cotton production control system is composed of a kiln, a bushing plate, a combustion chamber, a flame nozzle, a rubber roller, a data acquisition system, a data calculation system, a data training system, an electrical control system and a database. The data acquisition system reads the production process parameters and stores the production process parameters in a database; the data training system carries out training learning on the database by using a neural network;the data calculation system calculates the corresponding primary fiber average diameter and various production process parameters according to the input secondary fiber average diameter requirement; and the electrical control system respectively regulates and controls according to various production process parameters calculated by the neural network model. The system realizes automatic control ofthe flame blowing process, effectively avoids experience errors caused by manual operation, stably controls various process parameters, reduces energy consumption, and realizes energy conservation and emission reduction.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

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AI Technical Summary

Benefits of technology

This patented technology uses an artificial intelligence (AI) technique called Neural Network that predicts how well different materials will behave when heated or cooled down under specific conditions for use in industrial processes such as manufacturing. By learning from this prediction, AI systems are able to improve their performance over time without requiring constant maintenance due to changes made during these operations. Additionally, they also reduce power consumption while controlling certain variables accurately through feedback loops. Overall, it provides technical benefits like improved efficiency, reduced environmental impact, cost savings, and more precise control capabilities compared to previous methods.

Problems solved by technology

The present technology described in this patented describes different methods for producing ceramic fibers from fine particles called sandwich plugs (SPF). These techniques involve melting silica powder together at very specific temperatures while maintaining controlled conditions over long periods of time. By combining these processes, they produce both finely dispersible and uniform sized crystal structures made up of tiny calcium carbonate grains. They have excellent properties like strengthening steel grids, reducing thermal stress crackings during casting operations, enhancing adhesiveness between layers, create fireproof walls, preventing fires, minimizing power usage, optimizing fuel utilities, and lower emissions compared to existing systems.

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