Home Automation Control via Audio Sensor Profiling
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Solution Overview
Problem
Current home automation systems lack advanced features for enhanced toxic gas detection and control, particularly in providing flexible and individualized responses to carbon monoxide levels across different locations within a home.
Innovation Solution
A method and system for home automation control based on individualized audio differentiation of carbon monoxide detectors, where audio sensors distinguish between detectors by their audio characteristics, allowing for precise identification of alarms and subsequent automated adjustments in home automation settings through a control device connected via a home automation network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional local detectors are used for toxic gas detection, then detection coverage is limited to specific locations, but the system lacks flexibility and individualized control across different home locations
Solution Approach 1:
The patent segments the home into multiple zones with individual detectors, each having unique audio characteristics. The audio sensor system segments the detection task by analyzing directionality and volume to identify which specific detector is alarming, enabling location-specific automation responses rather than treating the entire home as a single detection zone
Solution Approach 2:
The audio sensor acts as an intermediary between the detectors and the control device. By capturing audio characteristics and transmitting this information to the control device, the system enables identification of specific detectors without requiring direct communication protocols between each detector and the control device, thus adding flexibility while maintaining identification capability
2Measurement precision
If audio sensors with individualized profiling are implemented, then specific detector identification is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary action by pre-establishing audio profiles for each detector during normal operation. The control device learns and stores the unique audio characteristics (directionality, volume, frequency patterns) of each detector before an alarm event occurs. This pre-profiling enables rapid and precise identification during alarms without requiring complex real-time analysis, thus improving measurement precision while managing device complexity
Solution Approach 2:
The patent utilizes parameter changes in audio characteristics (directionality angles, volume levels, frequency spectra) to differentiate between detectors. By monitoring these physical parameters and their variations, the system achieves precise detector identification using relatively simple audio sensing technology, avoiding the need for complex identification mechanisms
3Area of stationary object
If multiple detectors are deployed throughout the home, then detection coverage is improved, but the ability to distinguish between individual detector alarms deteriorates
Solution Approach 1:
The patent applies local quality by assigning unique audio characteristics to detectors in different locations. Each detector's audio signature (directionality pattern, volume relative to its position, frequency characteristics) reflects its specific location and environment. This enables the audio sensor system to distinguish between detectors based on these local qualities, maintaining identification capability even as detection coverage expands to cover the entire home
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
Enables effective and flexible home automation responses to carbon monoxide levels by accurately identifying detector alarms and triggering appropriate operational settings, enhancing safety and user notification through individualized detector profiling.
Implementation Method 1
sensor data may be received by a control device from a set of one or more audio sensors
Data Source
AI summary
Disclosed are methods, systems, and non-transitory, machine-readable media that facilitates home automation control based on individualized audio differentiation of carbon monoxide detectors. Audio characteristics may be determined based on first sensor data. Attributes may be defined based on the audio characteristics. Second audio characteristics may be determined based on the second sensor data. Second attributes may be defined based on the second audio characteristics. Third sensor data may be analyzed to identify a first alarm or a second alarm based on a volume and/or a directionality determined based on the third sensor data. Consequent to identifying the first alarm or the second alarm, a home automation rule may be determined. The home automation rule may include an operational setting of a home automation device. The home automation device may be instructed based on the determined home automation rule via a home automation network.