Material and heat equilibrium automatic control system in refining process in sugar mill

Abstract

The invention provides a material and heat equilibrium automatic control system in the refining process in a sugar mill. The system comprises a material and heat coordinated management system and a refining section material and heat equilibrium automatic control optimization system. The material and heat equilibrium coordinated management system adopts the Internet-of-things technology and the cloud computing technology to realize mutual coordination of material and heat equilibrium and automatic control in each section of refining. The refining section material and heat equilibrium automatic control optimization system collects and analyzes automatic control system process data and cross-region material, equipment and heat data in each section of refining through the Internet and the cloud, builds corresponding mathematical models and a series of control strategies, and realizes full-automatic control of production in clarification, evaporation and sugar boiling sections in the refining process. Through cross-region equipment, material and heat coordination, material and heat equilibrium is realized, the control system is optimized, high efficiency and energy saving are achieved, the quality of finished sugar is improved, and environmental pollution and energy consumption in the production process of sugar products are reduced.

Description

technical field [0001] The invention relates to an automatic control system, in particular to an automatic control system for material and heat balance in the refining process of a sugar factory, and belongs to the technical field of automatic control of sugar refining process. Background technique [0002] Although the vast majority of sugar factories in China have achieved basic automatic control, the equipment, materials, and heat control in the clarification, evaporation, and sugar cooking sections of the refining process are all self-controlled by independent systems. In addition, the production data provided by each control system to the management is only output in the form of raw data reports, which requires manual or third-party software to edit and calculate in the later stage, lacking in-depth data mining, resulting in insufficient analysis of the summary data for on-site production conditions, which is not conducive to management Operation and timely decision-mak...

AI Technical Summary

Problems solved by technology

However, due to the lack of talents, personnel turnover and other reasons, the experience of experienced operators cannot be passed on, which directly affects the product quality and easily causes the loss of production economic benefits