Infrastructure Metric Correlation Mapping for Automated Performance Assessment

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Solution Overview

Problem

Conventional infrastructure monitoring systems fail to capture and process the interdependencies between various parameters (metrices), leading to inefficient performance assessment and requiring manual intervention.

Innovation Solution

A processor-implemented method and system that collects infrastructure data, extracts and identifies correlations between multiple metrices by determining direct and chained correlations, with the dominant correlation used to fill a correlation matrix, enabling efficient monitoring and prediction of metric values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If conventional monitoring systems are used to track infrastructure parameters, then basic data collection is achieved, but the interdependencies between parameters are not captured and performance assessment efficiency deteriorates

Engineering Contradiction:

Improveinterdependency information between parametersVSAvoidperformance assessment efficiency

Core Design Contradiction:

Loss of informationVSProductivity

Solution Approach 1:

The system transforms raw parameter data into correlation values that quantify relationships between parameters. By changing the representation from individual parameter values to correlation matrices, the system captures interdependencies while improving assessment efficiency through automated relationship detection.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The correlation matrix acts as an intermediary structure that mediates between raw parameter data and performance assessment. This intermediate representation captures the relationships between parameters, enabling efficient analysis without losing interdependency information.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If manual intervention is used for parameter correlation analysis, then accurate relationship detection is achieved, but system complexity and operational burden increase

Engineering Contradiction:

Improvecorrelation detection accuracyVSAvoidmanual intervention requirement

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-service by automatically computing correlation matrices and identifying parameter relationships without manual intervention. The automated correlation analysis maintains precision while eliminating the operational burden of manual relationship detection.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical analysis with automated computational methods. By substituting human analysis with algorithmic correlation computation, the system maintains detection accuracy while significantly improving ease of operation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If all parameter relationships are analyzed in detail, then comprehensive performance assessment is achieved, but computational complexity and processing time increase

Engineering Contradiction:

Improveperformance assessment completenessVSAvoidcorrelation analysis complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the complex web of parameter relationships into pairwise correlations, organizing them in a structured matrix format. This segmentation makes the analysis manageable by breaking down the overall complexity into individual parameter pairs while maintaining comprehensive coverage.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system computes correlations for all parameter pairs (excessive action) to ensure comprehensive coverage, but focuses interpretation on dominant correlations to avoid unnecessary complexity in subsequent analysis.

Inventive Principle:

Principle #16Partial or excessive action

4Loss of information

If correlation matrices are computed for all parameter pairs, then complete interdependency mapping is achieved, but data processing time and computational resources increase

Engineering Contradiction:

Improveinterdependency relationship completenessVSAvoidcorrelation computation time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary computation of the complete correlation matrix to establish all parameter relationships in advance. This preliminary action ensures that no interdependency information is lost and enables efficient querying and analysis without repeated computations.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12169399B2Method and system for infrastructure monitoring

Publication Date: 2024.12.17 TATA CONSULTANCY SERVICES LTD

AI summary

Traditional infrastructure monitoring systems have the disadvantage that they either fail to consider dependency between metrices or consider the dependency only at an abstract level, which adversely affects efficiency with which a performance assessment of the infrastructure being monitored can be carried out. Another disadvantage of the existing systems is that manual intervention is required at different stages of the infrastructure monitoring. The disclosure herein generally relates to infrastructure monitoring, and, more particularly, to a method and system for identifying correlation between metrices in the infrastructure. The system uses a hybrid correlation approach which considers determining a dominant correlation from among a direct correlation and a chained correlation that may exist between each pair of metrices being considered at a time for determining the correlation.