Chemical process operation fault diagnosis method and system

By generating a space-time distribution matrix and performing collaborative abnormality detection, association matrix and network analysis, chemical fault diagnosis technology solves the problem of difficult to integrate time and space information in the existing technology, realizes dynamic and intelligent fault diagnosis of the chemical process, and improves fault processing efficiency and accuracy.

CN120143782AInactive Publication Date: 2025-06-13GUANGDI MAOMING CHEM CO LTD
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Patent Information

Application Number
CN202510204782.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-24
Publication Date
2025-06-13
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing chemical fault diagnosis technology is difficult to fully integrate time and space information, and it is impossible to effectively distinguish between systematic and local abnormalities, and the correlation analysis ability between variables is weak, resulting in inaccurate identification of the root cause of faults.

Method used

By monitoring the reaction path data and multiphase flow data, combining the reactor spatial distribution, a space-time distribution matrix is ​​generated, and collaborative anomaly detection, correlation matrix and network analysis are carried out to identify the abnormal propagation path and root cause nodes.

Benefits of technology

It realizes dynamic and intelligent fault diagnosis of chemical processes, significantly improves fault handling efficiency and accuracy, can fully reflect the operating status of the reactor and accurately identify the root cause of the fault.

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Abstract

The invention relates to a fault diagnosis method and system for chemical process operation. The system comprises a space-time distribution matrix generation module, a collaborative anomaly detection module, a dynamic incidence matrix and network mapping module, an anomaly propagation path identification module and a root cause repair measure module. According to the scheme, a dynamic and intelligent fault diagnosis system is constructed, and the stability and the fault processing efficiency of the chemical process are remarkably improved. According to the method, on the basis of a space-time distribution matrix, reaction path data and multiphase flow data are uniformly mapped, dynamic fusion of variables in time and space is achieved, and the running state in the reactor is comprehensively reflected. Precise identification is realized through collaborative anomaly and isolated anomaly classification analysis, and the source and the property of the anomaly are locked in combination with space-time matching of reaction path data and multiphase flow data. Through tracking of a propagation path and an abnormal node sequence, an abnormal evolution process is clearly displayed, and a foundation is laid for formulating effective repair measures.
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