Smart production management method and system for feeding squeezing and pressing squeezing in sugar refinery based on cloud computing

Abstract

The invention provides a smart production management method for feeding squeezing and pressing squeezing in a sugar refinery based on cloud computing. The method comprises the steps of 1, creating anoriginal data set; 2, creating a steady-state modeling data set; 3, creating a big data mining sample data set; 4, creating a real-time data set; 5, creating a real-time steady-state data set; 6, obtaining Pc; 7, creating a similar sample data set; 8, obtaining Pmax and a target optimization variable set; 9, judging whether or not a target is optimized according to the Pc and Pmax. By means of themethod, the real-time, accurate and efficient optimization control over a workshop can be achieved. The invention further provides a smart production management system implementing the method. The smart production management system comprises a cloud computing platform, a laboratory analysis management system, a feeding squeezing and pressing squeezing automation system, a specific station video monitoring device and a client side; particularly, the cloud computing platform is provided with a cloud database and an expert library system; the expert library system comprises an intelligent analysis module, an intelligent working condition classification module and a smart decision making module; the smart production management system can ensure that the sugar refinery performs a production task efficiently, stably and reliably.

Description

technical field [0001] The invention relates to the technical field of sugarcane sugar industry, and specifically relates to a cloud-computing-based smart production management method for sugar mills to press and press, and a system for realizing the method. Background technique [0002] As a traditional industry, sugar cane sugar production has a low level of automation and backward production management. Some sugar production sections are still at a semi-automated level. The use of the existing automatic system for feeding and pressing still depends on the experience of dispatchers and operators in the pressing workshop , leading to large fluctuations in the production process and sugar refining effect, it is difficult to achieve the effects of improving sugarcane juice extraction rate and reducing energy consumption at the same time, thereby affecting sugar production efficiency. In addition, due to the fact that sugarcane sugar factories in my country are located in remo...

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Problems solved by technology

[0002] As a traditional industry, sugar cane sugar production has a low level of automation and backward production management. Some sugar production sections are still at a semi-automated level. The use of the existing automatic system for feeding and pressing still depends on the experience of dispatchers and operators in the pressing workshop , leading to large fluctuations in the production process and sugar refining effect, it is difficult to achieve the effect of improving sugarcane juice extraction rate and reducing energy consumption at the same time, thus affecting sugar production efficiency

In addition, due to the fact that sugarcane sugar factories in my country are located in remote areas and lack relevant professional and technical personnel, the management and maintenance of different production equipment and systems has become extremely difficult. Sugar system and equipment lack scientific and effective centralized remote management and maintenance solutions. Thus affecting the normal operation of sugar production

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