IoT Sensor Data Quality Evaluator Using Rule Detectors
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Solution Overview
Problem
The increasing number of IoT devices poses challenges in data quality evaluation due to the lack of standards, leading to issues with sensor data integrity, security, and maintenance, as most devices are self-contained and require separate troubleshooting methods, making it difficult to monitor and maintain their performance effectively.
Innovation Solution
A method and system for evaluating data quality in IoT devices by receiving sensor data, applying rule detectors to identify instances of triggered data, and calculating a data quality index based on these instances, allowing for the determination of sensor, group, and device health, enabling better maintenance prioritization and security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple IoT devices are connected to monitor data quality, then data quality evaluation capability is improved, but system complexity increases due to lack of standards and separate troubleshooting procedures for each device
Solution Approach 1:
The patent applies universality by creating a standardized data quality evaluation framework that can be applied across multiple different IoT device types. The system uses universal data quality indices and evaluation metrics that work across diverse sensors and devices, eliminating the need for device-specific troubleshooting procedures while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent segments the data quality evaluation process into distinct modular components: data collection modules, evaluation rule modules, indexing modules, and reporting modules. This segmentation allows each component to be independently developed and maintained, reducing overall system complexity while enabling comprehensive multi-device monitoring through standardized interfaces.
2Ease of operation
If standardized data quality evaluation is implemented across IoT devices, then ease of operation is improved through unified monitoring, but device complexity increases due to additional evaluation infrastructure requirements
Solution Approach 1:
The patent implements self-service by enabling IoT devices to autonomously evaluate their own data quality using embedded evaluation rules and indices. Each device can independently calculate its data quality metrics and generate reports without requiring external intervention, simplifying operational monitoring while distributing the evaluation infrastructure burden across individual devices rather than requiring centralized complex infrastructure.
Data Source
AI summary
A method is provided for a device comprising at least one sensor providing sensor data. The method includes receiving, by a computer coupled to the device, the sensor data, providing the sensor data to at least one rule detector, evaluating, by the at least one rule detector, instances of sensor data triggered by the at least one rule detector, and determining, by the computer, that a sampling interval has ended, and in response calculating a data quality index based on the instances of triggered sensor data.