Risk prediction system and method for digital water conservancy and water industry control

By constructing a similar function of the pattern similarity between the interference term and the pattern set within the distribution, distinguishing the data within the distribution and the data outside the distribution, the problem of identifying and processing the interference term of the industrial control system in the prior art is solved, and filtering the data within the distribution and intercepting the data outside the distribution is realized to ensure the safety and stability of the system.

CN119740757AActive Publication Date: 2025-04-01FUJIAN SHUITOU DIGITAL TECH CO LTD
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Patent Information

Application Number
CN202510245869.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-04-01
Estimated Expiration
2045-03-04

AI Technical Summary

Technical Problem

The prior art is difficult to effectively identify and handle interference terms in industrial control systems, especially in distinguishing between data within and data outside the distribution.

Method used

By constructing a similar function of the interference term and the mode similarity within the mode set within the distribution, comparing the values ​​and thresholds of the similar function, and determining whether the interference term is data outside the distribution, thereby determining that it is data or normal noise generated by malware.

Benefits of technology

The filtering of data within the distribution and intercepting of data outside the distribution is realized, effectively preventing risks related to digital water conservancy and water affairs, and ensuring the safety and stability of the system.

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Abstract

A risk prediction system and method for digital water conservancy and water affairs industrial control belongs to the field of risk prevention and control technology. In the system, the process operation probe is used to obtain the dosing instructions and interference items to the dosing instructions sent by the host computer and provide them to the risk control platform, and the process parameter probe is used to obtain water quality information and then provide it to the risk control platform; the risk control platform includes a digital model and a risk prediction module, and the digital model is a model for generating water quality indicators based on the dosing instructions and the interference items to the dosing instructions; the risk prediction module infers whether the interference item is out-of-distribution data, if it is out-of-distribution data, the interference item is determined to be data generated by malware, and if it is in-distribution data, the interference item is determined to be normal noise. The present invention can automatically identify whether the interference item is out-of-distribution data or in-distribution data, filter the in-distribution data, and intercept the out-of-distribution data, so as to prevent risks related to digital water conservancy and water affairs before they occur.
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