Intelligent preprocessing and association matching system and method for chemical security and protection data

By using rule engines and natural language processing technology, the automation, standardization, and intelligent matching of chemical safety data have been achieved, solving the problems of data heterogeneity and poor correlation, and improving data processing efficiency and safety management capabilities.

CN121434288APending Publication Date: 2026-01-30DAQING ANRUIDA TECH DEV CO LTD
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Patent Information

Application Number
CN202511579431.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-31
Publication Date
2026-01-30

AI Technical Summary

Technical Problem

Existing technologies for chemical safety data processing suffer from several problems, including strong data heterogeneity, insufficient standardization of violation types, reliance on manual judgment for severity and handling measures classification, poor correlation between tabular data and textual descriptions, and delayed generation of statistical reports.

Method used

Through a rule engine-driven violation type standardization module, a natural language processing-assisted text association and matching mechanism, a unique ID generation mechanism, and a graphical user interface, the system achieves automated processing, standardization, intelligent matching, and report generation of chemical safety data.

Benefits of technology

It improves data standardization, ensures consistency and comparability of violation records, achieves automated classification and high-precision semantic association, enhances data processing efficiency and decision support capabilities, and reduces security risks.

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Abstract

The invention discloses a chemical security data intelligent preprocessing and association matching system and method, and belongs to the technical field of chemical safety production management. The problems that in the prior art, data isomerism is high, violation type standardization is insufficient, severity and processing measure classification depend on manual judgment, table data and text description relevance is poor, and statistical report generation lags behind are solved. The method provided by the invention comprises the steps of receiving and classifying security and protection table and text data, checking data integrity, generating a unique association identifier, executing violation type standardization and severity grading, automatically classifying processing measures, establishing table and text association based on semantic matching, and generating a security and protection data statistical report. And automatic cleaning, standardization and intelligent analysis of security and protection data are realized. The data processing efficiency and the safety early warning accuracy can be remarkably improved, and the method is suitable for safety production management and risk monitoring work in high-risk industries such as chemical engineering, petroleum and pharmacy.
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