Smart Hazard Detector Adaptive Pre-Alarm Thresholds by Room
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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 optimizing alert settings for different rooms, such as enabling more sensitive smoke detection in bedrooms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-alarm thresholds are set to be sensitive to detect early hazards, then early hazard detection capability is improved, but false alarm frequency 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 early detection while minimizing false alarms through continuous adaptation.
2Object-generated harmful factors
If hazard detection thresholds are lowered to reduce false alarms, then false alarm frequency is reduced, but early hazard detection capability deteriorates
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 early detection while minimizing false alarms through continuous adaptation.
3Device complexity
If uniform detection settings are applied across all locations, then device complexity is minimized, but detection effectiveness in specific environments deteriorates
Solution Approach 1:
The patent applies self-service by enabling the hazard detector to automatically identify its installation location and select appropriate pre-alarm threshold settings without requiring manual user configuration. The system uses environmental sensing, historical data analysis, and pattern recognition to autonomously optimize its detection parameters for the specific location, eliminating the need for complex user setup procedures.
4Reliability
If location-specific adaptive settings are implemented, then detection effectiveness in specific environments is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the hazard detector to automatically identify its installation location and select appropriate pre-alarm threshold settings without requiring manual user configuration. The system uses environmental sensing, historical data analysis, and pattern recognition to autonomously optimize its detection parameters for the specific location, eliminating the need for complex user setup procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces the frequency of false alarms by tailoring detection settings to the specific environment, enhancing the reliability and user satisfaction of hazard detection in smart home systems.
Implementation Method 1
smart hazard detectors, such as detectors that incorporate smoke detector features
Implementation Method 2
carbon monoxide (CO)...A hazard detector can detect the presence of these substances
Data Source
AI summary
A particular smart hazard detector may itself function as a guide during a process of installation of the same at an installation location. Additionally, the installation location of the particular smart hazard detector may play a central role in how various settings of the smart hazard detector are defined and adjusted over time.