Quality Check Apparatus for Virtual Sensor Input Data
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Solution Overview
Problem
Existing virtual sensor systems lack a method to check the quality of input data, which is crucial for maintaining intended quality and functionality.
Innovation Solution
A quality check apparatus and method that includes obtaining and checking metadata associated with input data to ensure it meets predetermined quality conditions, allowing for the switching of sensors or data sources when quality standards are not met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a virtual sensor system processes sensing data without quality checking, then processing speed and simplicity are maintained, but the quality and reliability of output data deteriorates
Solution Approach 1:
The quality check apparatus performs preliminary quality assessment of sensing data before the data is processed by the virtual sensor system. By checking metadata attributes (such as data completeness, accuracy indicators, and quality flags) in advance, the system ensures that only high-quality data enters the processing pipeline, thereby maintaining output reliability without adding complex real-time processing mechanisms.
Solution Approach 2:
The quality check apparatus acts as an intermediary component between the sensing data source and the virtual sensor processing module. It receives sensing data, evaluates its quality based on metadata, and either passes the data forward or requests re-acquisition. This mediator role isolates the complexity of quality assurance from both the data source and the processing system, maintaining simplicity while ensuring reliability.
2Reliability
If the quality check apparatus checks all input data thoroughly, then data quality is ensured, but processing time increases
Solution Approach 1:
The quality check apparatus performs partial quality checking by selectively examining only the most critical metadata attributes relevant to the specific virtual sensor application. Rather than conducting exhaustive validation of all possible data characteristics, the system checks essential quality indicators (such as data completeness flags, timestamp validity, and basic consistency checks), achieving sufficient quality assurance with minimal processing time overhead.
3Reliability
If the system switches sensors when quality is poor, then output quality is maintained, but system complexity and switching overhead increases
Solution Approach 1:
The quality check apparatus implements a feedback mechanism that monitors the quality of sensing data in real-time and provides quality status information back to the virtual sensor system. When quality degradation is detected, the feedback signal triggers sensor switching or data re-acquisition requests. This closed-loop feedback approach maintains output quality through simple conditional switching based on quality thresholds, avoiding complex predictive or adaptive switching mechanisms.
Data Source
AI summary
A quality check apparatus, a quality check method, and a quality check program can check the quality of input data output to a processing module. A device outputs the input data and first metadata indicating an attribute regarding the quality of the input data to the processing module. The quality check apparatus includes a first obtaining unit and a check unit. The first obtaining unit obtains the first metadata. The check unit checks the quality of the input data based on the first metadata.