Sensor Registry Q-Factor for Reliable Data Sourcing
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Solution Overview
Problem
Current methods for accessing and analyzing data from Internet devices and sensors are inefficient, relying on manual or declarative approaches that are insufficient for the challenges posed by smart big data usage, particularly in determining the reliability of sensor data sources.
Innovation Solution
A system and method for creating a registry of sensor devices that determines information types, communication protocols, and encoding schemes, and assigns a quality rating (Q-factor) based on cross-checking with similar devices, enabling reliable data sourcing and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual or declarative methods are used to access and analyze sensor data, then the process is simple to implement, but the reliability and efficiency of data sourcing is insufficient
Solution Approach 1:
The patent introduces a sensor registry server as an intermediary component between sensor devices and data consumers. This server maintains a registry of sensor devices with their characteristics, communication protocols, and encoding schemes, enabling reliable data sourcing without requiring complex manual evaluation processes. The intermediary handles the complexity of sensor characterization and matching, improving data reliability while keeping the overall system architecture manageable.
2Measurement precision
If a registry system with detailed sensor characterization is implemented, then data accuracy and reliability improve, but the complexity of device management increases
Solution Approach 1:
The patent applies preliminary action by pre-characterizing sensor devices with their information types, communication protocols, and encoding schemes before they are needed for data collection. The sensor registry server stores this characterization information in advance, allowing rapid matching and selection of appropriate sensors when data is needed, thereby improving measurement precision without increasing operational complexity during actual data collection.
Solution Approach 2:
The sensor registry server enables self-service by automatically matching data requests with appropriate sensor devices based on their stored characteristics. The system autonomously determines which sensors can fulfill specific data requirements by comparing request parameters with registry information, eliminating the need for manual sensor selection and reducing the perceived complexity for end users.
3Reliability
If iterative learning and cross-checking methods are used to determine sensor quality ratings, then the confidence in sensor reliability increases, but the time and computational resources required increase
Solution Approach 1:
The patent applies preliminary action by pre-evaluating and assigning quality ratings to sensor devices through iterative learning and cross-checking processes before they are deployed for actual data collection. The sensor registry server stores these pre-determined quality ratings, allowing rapid selection of high-confidence sensors without repeating the time-consuming evaluation process each time data is needed, thus reducing time loss while maintaining high reliability confidence.
Data Source
AI summary
Providing a registry of sensor devices may comprise obtaining a device, determining one or more information types returned by the device, determining one or more communication protocols used by the device for transmitting information, determining one or more encoding schemes used by the device to format the information, adding the device to the registry of sensor devices including at least the one or more information types, the one or more communication protocols and the one or more encoding schemes, and allowing access to the registry of sensor devices.