Log Image Analysis for Data Log Troubleshooting

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Solution Overview

Problem

Troubleshooting complex systems is time-consuming and resource-intensive due to the large volumes of data logs that need to be analyzed manually or semi-automatically, requiring significant storage space and lacking efficient methods for identifying error patterns and predictive maintenance.

Innovation Solution

Converting data logs into digital images (log images) for image analysis, where log entries are represented as pixels, allowing for the extraction of insights such as error patterns and future problems, enabling faster troubleshooting and reduced storage needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual or semi-automated analysis of data logs is performed, then troubleshooting can be conducted, but the process becomes time-consuming and resource-intensive

Engineering Contradiction:
Improvetroubleshooting efficiencyVSAvoidanalysis time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical analysis of data logs with an automated image processing system. Data logs are converted into visual images where patterns, errors, and anomalies can be rapidly detected through image analysis algorithms, eliminating the need for time-consuming manual review while maintaining or improving analysis accuracy

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates visual copies of data logs in the form of images. Instead of analyzing raw text data directly, the system generates image representations that preserve the essential patterns and structures of the logs, enabling faster processing and comparison while retaining the ability to identify error scenarios

Inventive Principle:
Principle #26Copying

2Reliability

If large volumes of data logs are stored for analysis, then comprehensive troubleshooting is enabled, but significant storage space is required

Engineering Contradiction:
Improvetroubleshooting accuracyVSAvoidstorage space
Core Design Contradiction:
ReliabilityVSVolume of stationary object

Solution Approach 1:

The patent creates compressed visual representations of data logs as images. These image copies retain the essential diagnostic information and patterns needed for troubleshooting while occupying significantly less storage space than the original text logs, enabling comprehensive historical analysis with reduced storage requirements

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent transforms data logs from text format to image format, changing the physical representation parameters. This transformation compresses the data while preserving the critical patterns, error signatures, and temporal relationships needed for reliable troubleshooting and pattern recognition

Inventive Principle:
Principle #35Parameter changes

3Loss of information

If detailed data logs are retained for analysis, then complete error information is available, but data privacy is compromised

Engineering Contradiction:
Improveerror information completenessVSAvoiddata privacy risk
Core Design Contradiction:
Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent creates visual image copies of data logs that preserve error patterns, timestamps, and diagnostic information while obscuring or removing sensitive personal or proprietary data. The image representation maintains the structural and temporal patterns needed for analysis while reducing privacy risks associated with storing detailed text logs

Inventive Principle:
Principle #26Copying

Data Source

PatentUS11928013B2Image analysis of data logs
Publication Date: 2024.03.12 NOKIA SOLUTIONS & NETWORKS OY
  • US11928013B2 patent drawing
  • US11928013B2 patent drawing
  • US11928013B2 patent drawing

AI summary

Systems, methods, and software for analyzing data logs. In one embodiment, a method comprises collecting a plurality of the data logs from log-generating elements, converting the data logs into log images, performing image analysis on a plurality of the log images to extract insights, and generating an output based on the insights.