Intelligent Smoke Sensor Audio-Video Verification False Alarm Reduction
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Solution Overview
Problem
Automation and alarm systems face processing resource overload and inefficiency due to the limited capabilities of gateway entities, leading to increased costs and complexity, especially with numerous sensors, and the inability to accurately analyze subtle signals like glass breaking sounds.
Innovation Solution
Distributing processing tasks across a hierarchy involving sensors, gateway entities, and cloud/third-party devices, where simpler tasks are handled at sensors and gateway entities, and more complex tasks are processed in the cloud, allowing for advanced algorithms and reducing false alarms through imaging and gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If more sensors are added to the zones monitored by the gateway entity, then the monitoring coverage and detection capability are improved, but the processing resource demand on the gateway entity increases, leading to system overload and slowed performance
Solution Approach 1:
The patent segments the processing tasks by introducing intermediate processing entities (edge computing devices) between the sensors and the central gateway entity. These intermediate devices handle preliminary processing of sensor data, filtering out normal conditions before forwarding only anomaly data to the gateway. This segmentation distributes the processing load, allowing more sensors to be connected without overwhelming the central gateway entity.
2Productivity
If the gateway entity is upgraded to provide additional processing resources, then the processing capability is improved, but the cost and complexity of the system increases
Solution Approach 1:
The patent applies local quality by deploying processing capabilities at multiple levels rather than concentrating all processing power at the central gateway. Edge computing devices are positioned locally near sensor groups to handle preliminary processing, while the gateway entity focuses on complex anomaly analysis. This distributed architecture provides adequate processing capability without requiring a single high-cost gateway upgrade.
Solution Approach 2:
The patent introduces edge computing devices as intermediary processing entities between the sensors and the gateway entity. These intermediaries perform initial data filtering and preprocessing, reducing the burden on both the sensors and the gateway entity. This intermediary layer provides additional processing capability without directly upgrading the expensive gateway infrastructure.
3Measurement precision
If the gateway entity processes all sensor data, then comprehensive analysis is achieved, but the response time increases and false alarms occur due to inability to accurately analyze subtle signals
Solution Approach 1:
The patent implements preliminary action by having edge computing devices perform initial processing and filtering of sensor data before it reaches the gateway entity. Normal conditions are identified and filtered out in advance, allowing the gateway to focus computational resources on analyzing subtle anomalies. This preliminary filtering improves both response time and accuracy by reducing the data volume requiring detailed analysis.
Solution Approach 2:
The patent applies partial action by having different processing entities perform different levels of analysis appropriate to their capabilities. Edge devices perform basic filtering and simple anomaly detection, while the gateway entity performs more comprehensive analysis only when needed. This distributed partial processing achieves accurate signal analysis without requiring all entities to perform maximum processing, thus reducing overall response time.
Data Source
AI summary
A method and system architecture for automation and alarm systems is provided. An intelligent fire detection sensor is provided that provides input data to a gateway device for processing and facilitates two-way communication with users and a third-party monitoring service. The system architecture is hierarchically organized, allowing devices to process system data differently at different levels of the hierarchy. Processing of at least some of the sensor data is overseen by the gateway device, which may determine, based on the processing, to activate one or more secondary sensors at the fire detector (such as an optical camera). The gateway device and fire detection sensor may interact cooperatively to process voice commands and/or gesture data, and to recognize false alarms.