Component Relational Graphs for Process-Specific Health Analysis
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Solution Overview
Problem
Existing systems lack the ability to analyze the health of individual electronic components on a process-by-process basis, as typical relational graphs are completed at a system level, failing to determine component relationships and health effects during specific process executions.
Innovation Solution
A system and method that utilize component relational graphs to generate a component knowledge graph for each process, using historical, telemetry, or simulated data, to determine component health ratings and create health images, indicating component usage and health status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If system-level relational graphs are used, then system-wide component relationships can be established, but process-specific component health analysis cannot be performed
Solution Approach 1:
The patent segments the system-level relational graph into multiple process-specific relational graphs. Each process execution generates its own relational graph that captures component relationships and health metrics specific to that process, enabling precise component health analysis at the process level while maintaining the broader system context through the collection of individual process graphs.
2Loss of information
If process-specific component analysis is implemented, then component health ratings can be determined, but data processing complexity increases
Solution Approach 1:
The patent merges multiple data sources including historical data, telemetry data, and simulated data into a unified process-specific relational graph. This integration consolidates information from various sources while maintaining process-specific granularity, enabling comprehensive component health analysis without proportionally increasing processing complexity through standardized data fusion methods.
3Productivity
If component health ratings are calculated for each process, then system performance can be optimized, but computational resources are consumed
Solution Approach 1:
The patent performs preliminary actions by generating process-specific relational graphs and calculating component health ratings during or immediately after process execution. This timing allows health metrics to be determined when data is most relevant for performance optimization, enabling proactive maintenance decisions and resource allocation based on actual component condition rather than waiting for system-wide analysis cycles.
Data Source
AI summary
Systems, computer program products, and methods are described herein for analyzing system health of individual electronic components using component relational graphs. The method includes receiving a process request. The process request is a request to execute a process. The method also includes determining one or more components of the system used during the process. The method further includes generating a component knowledge graph for the process. The component knowledge graph includes one or more nodes corresponding to each of one or more components used during the process. The method still further includes determining a component health rating for each of the one or more components used in the process.