Measurement Data Recording with Selective Volume Reduction
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Solution Overview
Problem
Existing data recording systems lack the ability to selectively reduce data volume and compress measurement data on a per-data basis, leading to inefficient storage and processing, especially in scenarios where not all data has equal recording priority.
Innovation Solution
A data recording apparatus and method that includes sections for obtaining, determining the reducibility of, reducing, and compressing measurement data, allowing for selective data volume reduction and compression based on user input, time, changed amount, or prediction error, enabling flexible processing of measurement data with varying priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is performed on all measurement data, then storage capacity is optimized, but data integrity and quality are compromised for high-priority data
Solution Approach 1:
The patent applies different data processing treatments to different measurement data based on their recording priority. High-priority data maintains full quality with no reduction, while low-priority data undergoes volume reduction and compression. This local differentiation resolves the contradiction by preserving data integrity where needed while optimizing storage where acceptable.
Solution Approach 2:
The patent segments measurement data into multiple priority levels (e.g., first priority, second priority, third priority) and applies distinct processing rules to each segment. This segmentation allows the system to maintain high-priority data in its original form for integrity while compressing low-priority data for storage optimization.
2Productivity
If data volume reduction is applied to all measurement data, then storage efficiency improves, but processing accuracy deteriorates
Solution Approach 1:
The patent applies volume reduction selectively based on local data characteristics and priority levels. High-priority data retains full precision while low-priority data undergoes reduction. This resolves the contradiction by maintaining processing accuracy for critical data while improving storage efficiency for non-critical data.
3Adaptability or versatility
If selective data processing is implemented, then data management flexibility improves, but system complexity increases
Solution Approach 1:
The patent performs preliminary classification of measurement data into priority levels before storage, using identification information to mark each data set. This advance categorization enables flexible selective processing later without requiring complex real-time decision-making, thus improving adaptability while controlling system complexity.
Solution Approach 2:
The system automatically determines which data to reduce and which to preserve based on pre-assigned priority levels and recording conditions, without requiring manual intervention for each data point. This automation provides flexible data management while keeping the control logic manageable through rule-based decision-making.
Data Source
AI summary
A data recording apparatus, including: a data obtaining section for obtaining multiple sets of measurement data obtained by measuring a measurement target; a determining section for determining for every measurement data of the multiple sets of measurement data whether a data volume is reducible; a data volume reducing section for reducing, in response to a result of the determining, a data volume for measurement data of which data volume has been determined as being reducible; a data compressing section for compressing multiple sets of measurement data including the measurement data of which data volume has been reduced; and a data recording section for recording the multiple sets of measurement data which have been compressed, is provided.