Modeling and graphical displaying method for causal relationship reasoning model of unusual working conditions of chemical process

A graphical display and abnormal working condition technology, which is applied in general control systems, control/adjustment systems, test/monitoring control systems, etc., can solve the problems of inaccurate judgment of the root cause of abnormal working conditions and poor graphical display effect, etc. Achieving a good technical effect

Active Publication Date: 2015-01-21
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is the problem of inaccurate judgment of the root cause of abnormal working conditions and poor graphical display effect in the prior art. It provides a new method for modeling and graphical display of causal relationship reasoning model of abnormal working conditions in chemical process

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  • Modeling and graphical displaying method for causal relationship reasoning model of unusual working conditions of chemical process

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Embodiment 1

[0016] This patent focuses on the failure mode and performance characteristics of abnormal working conditions in the petrochemical production process, collects real-time data from the industrial control system, and establishes an expert rule model closely related to the judgment process of abnormal working conditions on the basis of an expert system. Based on the mode of root cause analysis of abnormal working conditions, a fault tree logical reasoning model for root cause analysis of abnormal working conditions is established, and a variety of intelligent calculation methods based on process mechanism and cluster analysis are adopted. Through threshold judgment and feature extraction of key safety technical parameters, It performs feature matching with the established expert rule model and fault tree analysis model to realize intelligent monitoring, early warning and root cause analysis of abnormal working conditions in the production process.

[0017] The judgment of abnormal...

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Abstract

The invention relates to a modeling and graphical displaying method for a causal relationship reasoning model of unusual working conditions of a chemical process. The method mainly solves the problems that in the prior art, the root causes of the unusual working conditions are not judged accurately and a graphical displaying effect is poor. According to the modeling and graphical displaying method for the causal relationship reasoning model of the unusual working conditions of the chemical process, real-time data of a control system are collected, an expert rule model which is closely related to the judging process of the unusual working conditions is established, a fault tree logical reasoning model for root cause analysis of the unusual working conditions is established according to a root cause analysis mode of the unusual working conditions, an intelligent computing method is adopted, through the fact that threshold value judgment and feature extraction are carried out on key safety technical parameters, feature matching is carried out on the established expert rule model and the established fault tree analysis model, intelligent monitoring and early warning on the unusual working conditions of a production process and root cause analysis are achieved, the problems are solved better through the technical solutions, and the method can be applied to treatment of the unusual working conditions of the chemical process.

Description

technical field [0001] The invention relates to a method for modeling and graphically displaying a causal relationship reasoning model under abnormal working conditions in a chemical process. Background technique [0002] The abnormal working conditions in the petrochemical production process are characterized by strong concealment and many factors involved. The equipment operators only rely on single-point alarm information and personal operating experience to judge the abnormal working conditions in the production process. Once a problem occurs, it is difficult to quickly and accurately find out. root cause, and take reasonable emergency measures, resulting in danger or even accidents. Therefore, how to conduct real-time inferential analysis of abnormal conditions and clearly show the path of abnormal conditions propagation is of great significance for finding the root cause of abnormal conditions and taking effective preventive measures. [0003] At present, there are ma...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0229
Inventor 王春利李传坤高新江石宁
Owner CHINA PETROLEUM & CHEM CORP
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