Premise EMI Detection via Network Scan Thresholds
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Solution Overview
Problem
Home networks used in automation, comfort, and security systems face challenges in detecting and locating electromagnetic interference (EMI) sources, which can lead to network downtimes, battery drain in sensors and hubs, and supervision failures.
Innovation Solution
A method and system for detecting EMI by performing network scans to determine scan values, comparing these values to predetermined thresholds, and generating a premise map to indicate the location of EMI sources within the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network scans are performed continuously to detect EMI, then detection capability is improved, but energy consumption increases
Solution Approach 1:
The system performs network scans at predetermined intervals before EMI issues cause supervision failures. By proactively scanning at scheduled times rather than continuously, the system detects EMI early while consuming less energy. The scan values are compared to thresholds to identify interference before it causes critical failures.
Solution Approach 2:
Instead of continuous monitoring, the system uses periodic network scans at predetermined intervals. This periodic action maintains detection capability while significantly reducing energy consumption compared to continuous operation. The scans are performed at regular intervals to capture EMI conditions without constant energy expenditure.
2Measurement precision
If scan values are compared to thresholds to locate EMI sources, then location precision is improved, but system complexity increases
Solution Approach 1:
The system replaces complex real-time signal processing and analysis mechanisms with a simpler threshold-based comparison approach. By substituting complex analysis with straightforward threshold comparisons of scan values, the system achieves sufficient location precision without the computational complexity of advanced signal processing algorithms.
Solution Approach 2:
The system changes the approach from continuous complex analysis to discrete threshold-based parameter comparison. By monitoring scan values and comparing them against predetermined thresholds, the system identifies EMI locations through parameter changes rather than complex real-time processing, simplifying the overall system architecture.
3Reliability
If EMI is detected early through network scans, then network reliability is improved, but false alarms may occur
Solution Approach 1:
The system uses feedback from network scans by continuously monitoring scan values and comparing them to thresholds. When scan values indicate potential EMI, the system generates alerts that provide feedback about the interference condition. This feedback mechanism allows the system to distinguish between actual EMI and normal network variations by analyzing patterns over time.
Solution Approach 2:
The system performs preliminary threshold comparisons on scan values before generating alerts. By pre-establishing thresholds and conducting preliminary analysis, the system filters out false alarms while maintaining early detection capability. The preliminary action of comparing scan values to thresholds ensures that only significant EMI conditions trigger alerts.
Data Source
AI summary
Disclosed herein are techniques for detecting electromagnetic interference in a premise wireless network. A device determines (402) a scan value resulting from a network scan. The device compares (404) the scan value to a predetermined scan value threshold. In response to the scan value meeting the predetermined scan value threshold, the device determines (406) a presence of an electromagnetic interference source at or near a premise. The device generates (408) a premise map that includes an indication of a location at the premise of the electromagnetic interference source.