Grain and oil production line automatic control system based on neural network algorithm

Abstract

The invention discloses a grain and oil production line automatic control system based on a neural network algorithm, and relates to the technical field of automatic control. The system comprises a data acquisition module, a database, a data training module, a data calculation module, an electrical control module, an external data input, a grain and oil production line and an electrical parameter monitor, the electrical parameter monitor is used for reading production process parameters of the grain and oil production line, and the data acquisition module acquires the production process parameters in real time. The data acquisition module is used for acquiring production process parameters and storing the production process parameters in the database, the data training module is used for reading the production process parameters in the database, carrying out training learning by utilizing a neural network and establishing a corresponding data model, and the data calculation module is used for reading external data input. The system realizes automatic control of the grain and oil production line based on the artificial neural network technology, effectively avoids the phenomenon of unstable quality caused by manual operation errors, has automatic learning ability, and continuously optimizes the production process.

Description

technical field [0001] The invention belongs to the technical field of automatic control, in particular to an automatic control system for a grain and oil production line based on a neural network algorithm. Background technique [0002] The unique nonlinear adaptive information processing ability of artificial neural network overcomes the shortcomings of traditional artificial intelligence methods for intuition, such as patterns, speech recognition, and unstructured information processing, making it suitable for neural expert systems, pattern recognition, intelligent control, Combinatorial optimization, forecasting and other fields have been successfully applied. The combination of artificial neural networks and other traditional methods will promote the continuous development of artificial intelligence and information processing technology. In recent years, the artificial neural network is developing more deeply on the road of simulating human cognition, combining with fu...

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Problems solved by technology

[0003] Grain and oil processing refers to the process of industrialized processing of raw grains and oil plants to make semi-finished grain and oil products, grain and oil products, grain and oil food and other products. Grain and oil processing mainly includes rice processing, wheat processing, corn processing, soybean processing, oil plant processing, miscellaneous grain processing and Potato processing, grain and oil food production, comprehensive utilization of grain and oil by-products, and each automatic processing process involves steps such as loading, dividing, and unloading. In the existing grain and oil production line, the control of loading, dividing, and unloading is mainly through the operation Personnel experience and manual control, material parameters are unstable, so that the quality of the follow-up process cannot be guaranteed, and affect the production capacity, which is not conducive to the automatic production of grain and oil. Therefore, we propose an automatic control system for grain and oil production lines based on neural network algorithms.

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