Critical Event Detection with Local Sensor Data Correlation
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Solution Overview
Problem
Existing systems struggle to accurately confirm whether detected events are critical, often leading to unnecessary alarms or delayed responses due to the lack of comprehensive data analysis from multiple sensors.
Innovation Solution
An apparatus and method that determines a prospective critical event, requests data from local devices, and confirms the event by analyzing correlations with expected data using metadata and sensors from various devices within a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data from multiple local devices is collected and analyzed to confirm critical events, then measurement precision and reliability improve, but device complexity and data processing requirements increase
Solution Approach 1:
The system divides the monitoring function across multiple independent local devices, each collecting data from specific sensors. This segmentation allows each device to remain relatively simple while the collective network achieves high measurement precision through data correlation and verification across multiple sources.
Solution Approach 2:
The coordinating device serves multiple functions: it identifies detectable events, determines confirmation data requirements, manages communication with multiple local devices, and performs correlation analysis. This multi-functionality consolidates complexity in a centralized coordinator rather than distributing it across all devices.
2Reliability
If comprehensive data from multiple sensors is analyzed to confirm critical events, then reliability improves, but loss of time in event confirmation increases
Solution Approach 1:
Local devices continuously collect and store sensor data in advance, ready for immediate retrieval when a prospective critical event is detected. This preliminary data collection eliminates the need for real-time data gathering during confirmation, significantly reducing confirmation time while maintaining high reliability through pre-captured comprehensive data.
Solution Approach 2:
The system skips unnecessary intermediate steps by directly correlating pre-collected data with the detected event. Instead of sequentially gathering data from each device, the coordinator retrieves relevant pre-stored data and performs rapid correlation analysis, rushing through the confirmation process while maintaining thoroughness.
3Measurement precision
If multiple local devices are coordinated to provide confirmation data, then measurement precision improves, but device complexity increases
Solution Approach 1:
The coordinating device acts as an intermediary between multiple local sensing devices and the event confirmation process. It manages all communication, data requests, and correlation logic, allowing individual local devices to remain simple sensor collectors while the intermediary handles the complexity of coordinating multiple sources to achieve high detection accuracy.
Data Source
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AI summary
Examples of the disclosure relate to apparatus, methods and computer programs for detecting critical events. In examples of the disclosure an apparatus determines that a prospective critical event has been detected and requests data from one or more local devices wherein the data is collected in accordance with instructions previously provided by the apparatus. The apparatus receives the data from the one or more local devices and uses the received data to confirm if the prospective critical event is a critical event.