Auxiliary decision-making system and method based on field production experience and chemical mechanism model, electronic equipment and storage medium

Abstract

The invention discloses an auxiliary decision-making system based on field production experience and a chemical mechanism model. The auxiliary decision-making system comprises a data integration center, a data management center and an auxiliary decision-making center, wherein field production data of a control system and service data of a production management system are collected in a centralized manner through the data integration center; and after the data management center carries out preprocessing, the auxiliary decision-making center diagnoses the whole production process in combination with an IT technology, a chemical engineering knowledge principle and field production experience and outputs an auxiliary decision. Therefore, real-time and efficient processing of big data, agile response to process changes, early discovery of hidden dangers, early recognition of abnormities and improvement of production efficiency are realized, process package level data dynamic guidance is achieved, process parameters are optimized, economic loss is reduced, production safety is guaranteed, and the auxiliary decision-making system is suitable for various chemical production process flow applications.

Description

technical field [0001] The invention relates to the field of computers, in particular to an auxiliary decision-making system and method based on on-site production experience and a chemical mechanism model, electronic equipment, and a non-transient computer-readable storage medium. Background technique [0002] The chemical industry is an important part of my country's national economy, and chemical production is characterized by diverse products, complex processes, and high risks. In the past chemical production, the monitoring of the production process, the diagnosis of production faults, the handling of abnormal situations, etc., were all realized by experienced operators, which required a high sense of responsibility and professional ability of the personnel. Abnormal parking and production accidents caused by operator negligence or misjudgment occur from time to time, which not only cause serious economic losses to the enterprise, but also cause great safety hazards. ...

AI Technical Summary

Problems solved by technology

[0005] 1) Because production operators cannot obtain complete information in the process in real time and efficiently, including production data in the control system and business data in the production management system;

[0006] 2) Due to the large number of production units involved in the process and the large amount of information, when abnormal production conditions or symptoms appear, it is often necessary to analyze and judge the information of multiple types and points. However, production operators The capacity is limited, and all key elements cannot be considered, resulting in low efficiency and lag in processing information, which leads to system alarms being triggered or serious production abnormalities when most problems are discovered. At this time, the cost and difficulty of handling abnormalities will become very high. high;

[0007] 3) Since not all technicians have the ability to analyze problems through chemical mechanism model modeling, not all technicians have the ability to analyze production big data, and not all technicians have rich production management experience, thus Leading to low-quality problems in the extraction and mining of information by production operators

[0008] In view of this, the present invention provides an auxiliary decision-making system based on on-site production experience, which can avoid the inability to extract information that affects production safety and efficiency due to incomplete information, low knowledge integration, inefficiency and lag in manual operations. the key elements of making correct decisions under complex conditions

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