Dataflow Control Apparatus for Metadata-Based Device Extraction
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Solution Overview
Problem
In the context of data distribution markets, existing technologies lack effective mechanisms to ensure the accuracy and quality of data transactions, particularly in IoT environments, where sensors and other devices provide data, leading to issues with reliability and security due to subjective evaluations of data reliability.
Innovation Solution
A dataflow control apparatus and method that utilizes device-side and app-side metadata to match data providers with users, incorporating data history information to ensure accuracy, quality, and security by describing specifications, manufacturer, model, owner, and certification details, enabling objective assessment and improved transaction reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional sensor-side metadata is used to enable reliability setting, then data distribution can be automated, but the accuracy and quality of sensing data cannot be assured absolutely and objectively
Solution Approach 1:
The patent applies preliminary action by establishing a standardized metadata framework in advance that includes objective quality indicators. The metadata schema is pre-designed to capture measurement conditions, sensor specifications, and quality metrics before data collection occurs, enabling automatic filtering and selection of high-quality data without subjective evaluation during data distribution.
Solution Approach 2:
The patent changes parameters by transforming the reliability metric from subjective qualitative assessment to objective quantitative measurement. Specific parameters such as measurement accuracy, precision, calibration status, and environmental conditions are captured as measurable variables in the metadata, allowing automated systems to objectively compare and select data based on defined quality thresholds.
2Adaptability or versatility
If multiple entities provide similar data with different measurement methods and sensors, then data variety and coverage increase, but distinguishing data quality and accuracy becomes difficult
Solution Approach 1:
The patent applies segmentation by breaking down data quality assessment into distinct measurable components within the metadata structure. Each aspect of data quality (measurement accuracy, sensor precision, environmental conditions, calibration status) is segmented into separate metadata fields, allowing users to independently evaluate and filter based on specific quality dimensions rather than treating quality as a single undifferentiated attribute.
Solution Approach 2:
The patent introduces an intermediary metadata layer that mediates between diverse data sources and users. This standardized metadata framework acts as a common language that translates various measurement methods and sensor types into comparable quality metrics, enabling automatic comparison and selection across different entities without requiring users to understand the underlying measurement variations.
3Ease of manufacture
If subjective evaluation methods are used for data reliability, then implementation is simple, but transaction security and data quality assurance are compromised
Solution Approach 1:
The patent applies self-service by enabling the metadata system to automatically perform quality assessment and filtering without requiring manual intervention. The standardized metadata fields contain all necessary information for automated quality evaluation, allowing systems to self-select appropriate data sources based on objective criteria embedded in the metadata, thereby maintaining simplicity while achieving objective quality assurance.
Data Source
AI summary
A dataflow control apparatus extracts a device capable of providing data that satisfies requirements of an application by matching device-side metadata and app-side metadata. The device-side metadata is capable of describing information indicating a history of data that a device provides, and the app-side metadata is capable of describing information indicating a history of data that an application requires. The dataflow control apparatus, in a case where the information indicating the history is described in the app-side metadata, extracts a device capable of providing data that satisfies at least both the specification and the history that the application requires from among a plurality of the devices.