IoT Sensor Peer Interrogation for Data Reliability
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Solution Overview
Problem
IoT sensor systems face challenges in maintaining data reliability due to sensor degradation and single-point failures, leading to inaccurate data transmission, which can result in false alarms and decision errors, and existing solutions like recalibration or deploying large numbers of sensors increase network traffic and costs.
Innovation Solution
Implementing a peer sensor interrogation technique where secondary sensors validate data from primary sensors, providing supplemental data to enhance reliability and mitigate single-point failures, optimizing sensor density and network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If peer sensor interrogation is implemented for data validation, then data reliability is improved, but device complexity increases
Solution Approach 1:
The patent introduces a peer sensor as an intermediary device that validates data from the primary sensor. The peer sensor acts as a mediator by comparing its own measurements with those of the primary sensor, thereby improving data reliability without requiring complex validation logic in the primary sensor itself. This resolves the contradiction by externalizing the validation function to a dedicated peer device.
Solution Approach 2:
The system segments the sensing function into two distinct roles: primary sensor for data collection and peer sensor for validation. This segmentation allows each sensor to be optimized for its specific function, with the primary sensor focusing on measurement and the peer sensor focusing on verification, thereby improving overall reliability while keeping individual device complexity manageable.
2Reliability
If multiple sensors are deployed for validation, then data reliability is improved, but network traffic increases
Solution Approach 1:
The peer sensor interrogation is performed periodically rather than continuously. The system selectively activates the peer sensor to validate primary sensor data at specific intervals or when anomalies are detected, rather than maintaining constant communication. This periodic validation approach improves data reliability while significantly reducing network traffic and energy consumption compared to continuous monitoring.
Solution Approach 2:
The peer sensor performs self-service validation by autonomously comparing its measurements with the primary sensor data and determining validation outcomes. This self-service mechanism reduces the need for centralized validation logic and minimizes network communication overhead, as the peer sensor independently assesses data reliability without requiring extensive network traffic for coordination.
3Measurement precision
If sensor recalibration is performed frequently, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The peer sensor serves as a preliminary validation mechanism that checks primary sensor data before it is fully processed or acted upon. By performing this preliminary validation, the system can identify potential calibration issues early without requiring frequent full recalibration cycles, thereby maintaining measurement precision while reducing the time lost to recalibration activities.
Solution Approach 2:
The peer sensor provides continuous feedback on the accuracy and reliability of primary sensor measurements. This feedback mechanism allows the system to detect drift or calibration issues in real-time and trigger targeted recalibration only when necessary, rather than performing frequent preventive recalibration. This reduces measurement precision degradation while minimizing the time lost to recalibration operations.
Data Source
AI summary
Methods and systems for enhanced data reliability for sensor devices, such as Internet of Things (IoT) sensors can include a first set of sensor devices (e.g., primary sensors) for collecting data in accordance with an application program. A second set of sensor devices (peer sensors) can be enabled for collecting supplemental data. Each of the sensor devices in the second set of sensor devices corresponds to one of the sensor devices in the first set of sensor devices. After receiving data from a selected sensor device of the set of first sensor devices and determining that the received data triggers a notification for a critical event, a second sensor of the second set of sensor devices can be interrogated to confirm the critical event. The event is confirmed by a convergence of data from the selected sensor device and the supplemental data from the second sensor device.