Operational Parameter Images for Electronic And Software Anomaly Detection

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Solution Overview

Problem

Existing systems fail to effectively analyze operational parameters of electronic and software components in entity applications to detect anomalies, leading to potential failures and downtime.

Innovation Solution

A system and method that analyze historical images of component resilience, generate pixel-wise averages, calculate similarity scores, and compare real-time images against a distribution threshold to detect anomalies, with the ability to mitigate issues and notify users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional anomaly detection methods are used, then the system is simpler to implement, but the detection precision and reliability are insufficient

Engineering Contradiction:

Improveanomaly detection precisionVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates visual representations (images) of operational parameters from historical data and real-time data. These images serve as copies that capture the state of electronic and software components, allowing anomaly detection through image analysis rather than direct parameter comparison. This enables the use of sophisticated image processing techniques while maintaining a unified detection framework.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent introduces an image generation module as an intermediary between data collection and anomaly detection. Historical operational parameters are transformed into historical images, and real-time parameters are transformed into real-time images. This intermediary representation enables the application of advanced image processing and comparison techniques to detect anomalies with higher precision.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If real-time monitoring of all components is implemented, then anomaly detection capability is improved, but the computational resource consumption increases

Engineering Contradiction:

Improveanomaly detection capabilityVSAvoidcomputational resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent pre-generates historical images from historical operational data and establishes a baseline of normal operational patterns. By having these reference images prepared in advance, the system can quickly compare real-time images against the historical baseline without performing complex analyses on all historical data each time, reducing real-time computational requirements.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent extracts only the necessary visual features from operational parameters that are relevant for anomaly detection. The image generation process focuses on capturing essential operational states rather than processing all raw data, and the comparison process extracts key differences between real-time and historical images, reducing computational overhead.

Inventive Principle:

Principle #2Taking out (Extraction)

3Reliability

If comprehensive operational parameters are monitored, then the detection coverage is improved, but the data processing time increases

Engineering Contradiction:

Improvedetection coverageVSAvoiddata processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements periodic sampling of operational parameters to generate both historical images and real-time images at defined intervals. This periodic approach balances comprehensive monitoring with manageable processing loads, capturing essential operational states without continuous analysis of all parameter changes.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The patent segments the operational parameters into distinct visual representations organized by component type and operational state. By dividing the comprehensive parameter set into structured image segments, the system can process and compare specific portions of operational data independently, reducing overall processing time while maintaining comprehensive coverage.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12443501B2System and method for analyzing operational parameters of electronic and software components associated with entity applications to detect anomalies

Publication Date: 2025.10.14 BANK OF AMERICA CORP

AI summary

Embodiments of the present invention provide a system for analyzing operational parameters of electronic and software components associated with entity applications to detect anomalies. The system is configured for extracting one or more historical images associated with resiliency status of electronic and software components associated with an entity application, analyzing the one or more historical images to generate a pixel wise average of the one or more historical images, generating similarity scores between the one or more historical images, determining a distribution of the similarity scores, receiving a real-time image associated with a current resiliency status of the electronic and software components associated with the entity application, generating a real-time image similarity score for the real-time image, and comparing the real-time image similarity score with the distribution to detect presence of an anomaly.