Plan-Aware Abnormality Determination for Service Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing abnormality determination technologies lack flexibility in setting criteria, failing to adapt to varying service plans, leading to suboptimal abnormality detection.
Innovation Solution
An abnormality determination system that includes an index acquisition module, a plan data acquisition module, and an abnormality determination module to execute determinations based on acquired indices and plan data, allowing for flexible criterion setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If abnormality determination criterion is determined based on real-time trend, then responsiveness to current system state is improved, but flexibility to adapt to different service plans deteriorates
Solution Approach 1:
The system performs preliminary actions by acquiring and storing plan data about scheduled services before abnormality determination is executed. The plan data acquisition module collects information about upcoming services, maintenance schedules, and planned changes, allowing the abnormality determination module to compare real-time system state against expected states during these planned events. This enables the system to remain responsive to real-time conditions while adapting its criteria to account for scheduled activities.
Solution Approach 2:
The abnormality determination criterion is made dynamic by integrating both real-time trends and plan data. The system continuously adjusts the determination criteria based on the current service plan context, allowing the thresholds and parameters for abnormality detection to change dynamically according to what services are scheduled to run at different times. This dynamic approach maintains responsiveness while adapting flexibility to different service scenarios.
2Device complexity
If fixed abnormality determination criterion is used, then system simplicity is improved, but adaptability to varying service plans deteriorates
Solution Approach 1:
The system achieves universality by creating a multi-functional abnormality determination framework that handles both fixed criteria scenarios and dynamic plan-specific scenarios through the same infrastructure. The abnormality determination module can operate with simple fixed criteria when no special plans are active, while automatically incorporating plan data when services are scheduled, thus adapting its behavior based on operational context without requiring separate systems.
Solution Approach 2:
The system changes parameters dynamically by adjusting abnormality determination thresholds and criteria based on plan data. When services are scheduled, the system modifies the parameters used for determination (such as expected load levels, resource consumption thresholds, or performance benchmarks) to match the planned service requirements. This allows the system to maintain relative simplicity while adapting to varying service plans through parameter adjustment rather than structural complexity.
Data Source
AI summary
An abnormality determination system, comprising at least one processor configured to: acquire an index usable in abnormality determination about an occurrence of abnormality in a service providing system for providing a predetermined service; acquire plan data about a plan of the predetermined service; and execute the abnormality determination based on the index and the plan data.