Smart Hazard Detector Thresholds for Location-Specific False Alarm Control
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Solution Overview
Problem
Conventional hazard detectors in smart home environments often trigger false alarms due to environmental conditions common in specific locations, such as kitchens and garages, leading to user dissatisfaction and reduced effectiveness in hazard detection.
Innovation Solution
A smart hazard detector that adjusts its pre-alarm thresholds based on historical data and location-specific conditions, disabling features like carbon monoxide detection in garages to prevent false alarms and enhancing sensitivity in areas like bedrooms for early hazard detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-alarm thresholds are set to be sensitive for early hazard detection, then hazard detection capability is improved, but false alarm rate increases
Solution Approach 1:
The patent applies local quality by implementing location-specific pre-alarm thresholds tailored to different installation environments. The system identifies the detector's location (kitchen, garage, bedroom, etc.) and applies customized threshold settings appropriate for each location's typical environmental conditions, thereby maintaining high sensitivity where needed while reducing false alarms in locations prone to nuisance conditions.
Solution Approach 2:
The patent implements dynamics by making pre-alarm thresholds adaptive rather than static. The system dynamically adjusts thresholds based on historical data, environmental conditions, and learned patterns of normal versus hazardous conditions. This allows the detector to optimize its sensitivity over time, improving hazard detection while minimizing false alarms through continuous adaptation.
2Reliability
If hazard detectors use fixed alarm thresholds to meet certification standards, then compliance is ensured, but adaptability to different locations is reduced
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple location-specific threshold profiles that comply with UL standards for different installation environments. Before deployment, the system has already prepared appropriate threshold settings for various locations (kitchen, garage, bedroom, etc.), ensuring compliance is built-in while allowing selection and adaptation to the specific installation location.
Solution Approach 2:
The patent implements parameter changes by allowing the system to modify operational parameters (pre-alarm thresholds) based on the detected installation location while maintaining compliance with certification standards. The system changes threshold parameters dynamically according to location, enabling both compliance and adaptability through parameter adjustment rather than fixed settings.
3Reliability
If pre-alarm alerts are triggered frequently to ensure early warning, then safety monitoring is improved, but user satisfaction decreases due to nuisance alarms
Solution Approach 1:
The patent applies feedback by implementing a learning system that monitors user responses to pre-alarm alerts and environmental patterns over time. When a pre-alarm is triggered, the system learns from the outcome (whether it was a true hazard or a false alarm) and adjusts future pre-alarm behavior accordingly. This feedback loop improves user satisfaction by reducing nuisance alarms while maintaining effective safety monitoring.
Solution Approach 2:
The patent implements dynamics by making the pre-alarm function adaptive based on learned environmental patterns and user preferences. The system dynamically adjusts pre-alarm sensitivity and triggering criteria based on historical data from the specific installation location, optimizing the balance between safety monitoring and user satisfaction through continuous adaptation rather than fixed behavior.
Data Source
AI summary
Various arrangements for assessing an installation of a smart home device are presented. A video camera device may capture video indicative of a location of the smart home device. The video indicative of the location of the smart home device may be analyzed to determine whether the location of the smart home device prevents the smart home device from operating within specification. An indication may then be output indicative of whether the location of the smart home device prevents the smart home device from operating within specification.