Device Classification System for Zone Control
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Solution Overview
Problem
Information handling systems face challenges in efficiently identifying and controlling devices within specific zones of control, particularly in environments with multiple overlapping device classifications and management structures.
Innovation Solution
A device classification system that identifies and classifies devices within zones of control by comparing device classifications with pre-defined listings, determines matching classifications, and controls device parameters through the corresponding gateway, while also detecting anomalies and updating databases for unknown devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If device classification comparison is performed across multiple zones of control, then device identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides the network into multiple zones of control, each managed by a gateway. The device classification system compares device classifications against pre-defined listings for each zone separately, segmenting the identification process to improve accuracy while maintaining manageable complexity through structured organization.
Solution Approach 2:
Device classification listings are pre-defined and stored for each zone of control before device identification occurs. This preliminary preparation allows the system to quickly compare device classifications against ready-to-use reference data, improving identification speed and accuracy without increasing operational complexity.
2Measurement precision
If multiple device classifications are compared against zone listings, then device control precision is improved, but processing time increases
Solution Approach 1:
Device classification listings are pre-computed and stored for each zone of control. When device identification is needed, the system simply retrieves the appropriate pre-defined listing and performs a direct comparison, eliminating the need for real-time complex analysis and significantly reducing processing time while maintaining high precision.
Solution Approach 2:
The system uses pre-defined device classification listings as reference copies for each zone. By comparing actual device classifications against these pre-created reference listings, the system achieves precise identification without performing complex real-time calculations, thus reducing processing time.
3Reliability
If anomaly detection is performed by comparing device classifications, then system reliability is improved, but device complexity increases
Solution Approach 1:
The system continuously compares detected device classifications against the pre-defined zone listings and provides feedback when anomalies are detected. This feedback mechanism allows the system to identify and report anomalous devices, improving reliability through continuous monitoring and verification without requiring complex anomaly detection algorithms.
Solution Approach 2:
The system uses pre-defined device classification listings as reference copies to detect anomalies. By comparing actual device classifications against these reference listings, the system can reliably identify deviations and anomalies without requiring complex real-time analysis, thus improving reliability while keeping the detection mechanism simple.
Data Source
AI summary
Methods, systems, and computer programs encoded on computer storage medium, for identifying a classification of a first device; comparing the classification of the first device with a device classification listing for zones of control; determining that the classification of the first device matches i) the device classification listing for a first zone of control and ii) the device classification listing for a second zone of control; identifying a classification of a second device; comparing the classification of the second device with i) the device classification listing for the first zone of control and ii) the device classification listing for the second zone of control; determining that both i) the classification of the first device and ii) the classification of the second device matches the device classification listing for only the first zone of control; identifying a gateway of the first zone of control as managing the first and second devices.