Anomaly Detection System for Complex Industrial Control Networks
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Solution Overview
Problem
Complex industrial control systems face challenges in quickly and accurately identifying the type, location, and cause of abnormalities due to the difficulty in understanding and representing data tendencies, especially with increasing types of terminals and data, which necessitates a versatile outlier detection technique.
Innovation Solution
A method that involves receiving measurement data from multiple targets, computing anomaly values based on predetermined algorithms, and determining the system situation using hierarchical classifications and determination algorithms, allowing for efficient identification of abnormal patterns and visualization of classifications/levels with high degrees of abnormality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis methods are used to understand data tendencies, then detailed understanding can be achieved, but the process becomes too slow and insufficient for complex systems with multiple abnormality types
Solution Approach 1:
The patent replaces manual analysis methods with automated computer-based processing. The system uses a determination apparatus that automatically receives measurement data, computes anomaly values, and determines system situations without human intervention, thereby achieving both precision and speed in abnormality identification.
Solution Approach 2:
The patent introduces an intermediary determination apparatus that acts as a bridge between raw measurement data and human understanding. This apparatus computes anomaly values and determines system situations, providing processed information that is both precise and readily available for quick decision-making.
2Adaptability or versatility
If comprehensive outlier detection techniques are developed to handle all terminal types, then versatility is improved, but the system complexity increases significantly
Solution Approach 1:
The patent creates a universal determination apparatus that can handle multiple types of terminals and measurement data through a single system. The apparatus receives measurement data from various terminals, computes anomaly values using standardized processes, and determines system situations applicable to different abnormality types, achieving versatility without proportionally increasing complexity.
3Measurement precision
If detailed analysis of all measurement data is performed, then identification accuracy is improved, but real-time response capability deteriorates
Solution Approach 1:
The patent extracts only the essential information needed for abnormality identification by computing anomaly values from measurement data. Instead of analyzing all raw data in detail, the system extracts key deviations and determines system situations based on these computed values, achieving both accuracy and real-time response capability.
Data Source
AI summary
A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.