Method and system for intelligently checking hidden risk based on original big data

Through multi-channel data collection, feature extraction and risk model construction methods and systems, the limitations of traditional risk investigation methods in the big data environment are solved, accurate identification of equipment operating parameters and real-time monitoring of risks are achieved, and the efficiency and accuracy of risk management are improved.

CN120430630APending Publication Date: 2025-08-05INSPUR ENTERPRISE CLOUD TECHNOLOGY (SHANDONG) CO LTD
View PDF 0 Cites 1 Cited by

Patent Information

Application Number
CN202510579396.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-07
Publication Date
2025-08-05

AI Technical Summary

Technical Problem

When traditional risk investigation methods face massive amounts of original big data, it is difficult for modern enterprises to accurately and efficiently detect hidden risks.

Method used

Through methods and systems for multi-channel data collection, data preprocessing, feature extraction, risk model construction, risk investigation and feedback optimization, combined with decision tree models, isolated forest algorithms, etc., in-depth analysis and real-time monitoring of big data are realized, minor abnormal changes in equipment operating parameters are identified, and potential risks are promptly warned and handled.

Benefits of technology

It realizes accurate identification of equipment operating parameters and real-time monitoring of risks, avoids production interruptions and economic losses, improves the efficiency and accuracy of risk management, and can quickly evaluate complex risks and formulate targeted strategies.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120430630A_ABST
    Figure CN120430630A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of big model data training, in particular to a method and system for intelligently checking hidden risks based on original big data, and the method comprises the following steps: 1) collecting and preprocessing data; 2) feature extraction; 3) constructing a risk model; 4) risk investigation; 5) risk reporting; 6) feedback and optimization; the method has the beneficial effects that through deep analysis of massive original data, the intelligent troubleshooting system can accurately capture subtle risk signals which are easily neglected by people. In industrial equipment monitoring, a large amount of original data collected by various sensors in the equipment operation process is analyzed, and tiny abnormal changes, such as temperature, pressure and vibration frequency, of equipment operation parameters can be accurately recognized, so that the equipment fault risk is warned in advance, and production interruption and economic loss caused by sudden equipment faults are avoided.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Cited By

  • Semiconductor data analysis method, device and equipment and storage medium

    CN120873497A