Prognostics Module for Multi-Element System Health Prediction
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Solution Overview
Problem
Conventional approaches for assessing availability and quality of service in cloud-based systems are inadequate for multi-element systems, as they are not suited for analysis beyond a single device or isolated system, and the scale and complexity of cloud computing networks pose additional challenges.
Innovation Solution
A prognostics module comprising a systems analysis module and a determination module that obtains system-wide operational information to predict the future health of multi-element systems, using machine learning and physics-based models to identify conditions indicative of risk and guide remedial measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional approaches for assessing availability and quality of service are used, then single device or isolated system analysis is sufficient, but system-wide analysis in cloud-based multi-element systems becomes inadequate
Solution Approach 1:
The patent applies universality by creating a monitoring system that functions across multiple scales - from individual device level to system-wide cloud infrastructure level. The monitoring module is designed to assess availability and quality of service for any element within the multi-element system, making the solution adaptable to diverse system configurations and scales without requiring separate conventional approaches for each level.
Solution Approach 2:
The patent segments the monitoring function into modular components that can independently assess different elements (devices, systems, or cloud resources) while collectively providing system-wide visibility. This segmentation allows the monitoring system to handle complex multi-element architectures by breaking down the assessment into manageable units that can be aggregated for comprehensive system health evaluation.
2Productivity
If cloud-based multi-element systems are implemented to improve scalability and resource sharing, then system performance and availability become harder to assess due to increased complexity and dependencies
Solution Approach 1:
The patent introduces a monitoring module as an intermediary between the complex cloud-based multi-element system and the assessment process. This intermediary layer simplifies the complexity by providing standardized interfaces and abstraction mechanisms that translate complex system states into manageable metrics, making it easier to assess performance and availability without being overwhelmed by the underlying system complexity.
Solution Approach 2:
The patent implements continuous feedback mechanisms where the monitoring system constantly collects operational information, analyzes system state, and provides real-time assessments of availability and quality of service. This feedback loop enables dynamic adaptation to changing system conditions, allowing the system to maintain optimal performance and quickly identify issues despite the inherent complexity of cloud-based architectures.
3Reliability
If system-wide operational information is collected to determine future health of system elements, then proactive mitigation is enabled, but information processing requirements increase
Solution Approach 1:
The patent extracts only the most relevant operational information needed for determining future health and predicting failures, rather than processing all available system data. By selectively extracting critical metrics and operational parameters, the system reduces the volume of information that needs to be processed while maintaining high accuracy in future health determination and failure prediction.
Data Source
AI summary
A prognostics module includes a systems analysis module and a determination module. The systems analysis module is configured to obtain operational information corresponding to a system-wide operation of a multi-element system. The multi-element system includes multiple elements communicatively coupled by at least one common communication link. The determination module is configured to determine a future health of at least one of the multiple elements of the multi-element system using the operational information corresponding to the system-wide operation of the multi-element system.