Intelligent material dispatching system based on large data in sugar factory

Abstract

The invention provides an intelligent material dispatching system based on large data in sugar factory, whose system structure adopts a three-tier system of lower computer -> the server-> the client, and uses a real-time communication network formed by the field bussing technology, the local area network and the wide area network communication technology to form a distributed monitoring system.The intelligent dispatching system can establish an operation strategy model for material dispatching according to the theory of sugar production and the experience data provided by the skilled workers, and collect the parameters of the production process, the laboratory analysis data and the manual instruction in real time, which will transmitted to the operator's smart phone, tablet computer and computer for reference through the conditions judgment system, automatic generation of operational instructions, and the computer network. The system can complete single dispatching task, develop a batch of dispatching plans, and achieve tracing management of dispatching instruction, thereby greatly the processing efficiency of production management personnel is improved and control of the overall production becomes easier.

Description

technical field [0001] The invention relates to a scheduling system, in particular to a material intelligent scheduling system based on big data in a sugar factory, which belongs to the technical field of sugar production process control. Background technique [0002] At present, the material dispatching of sugar factories generally has the current situation of backward overall management mechanism, low operating efficiency, and shortage of skilled workers. Many of them need to be controlled and adjusted through manual observation and analysis to judge various situations in the production process. Therefore, the operator's experience Control is very important. However, due to lack of talents, personnel turnover and other reasons, the experience of experienced operators cannot be passed on, which directly affects product quality and easily causes the loss of production economic benefits. [0003] For this reason, some sugar factories use the automatic material scheduling sys...

AI Technical Summary

Problems solved by technology

[0002] At present, material dispatching in sugar factories generally has the current situation of backward overall management mechanism, low operating efficiency, and shortage of skilled workers. Many of them need to be controlled and adjusted through manual observation, analysis and judgment of various situations in the production process. Therefore, the operator's experience control is very important

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

[0003] For this reason, some sugar factories use the automatic material scheduling system of the sugar factory for overall management, but the production data provided by the conventional automatic material scheduling system to the management is only output in the form of raw data reports, which require manual or third-party software for later editing and calculation , Lack of in-depth mining of data, resulting in insufficient analysis of on-site production conditions from aggregated data, which is not conducive to management and timely decision-making; it also results in the basis of business decision-making from personnel experience, lack of objective support from data

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