Multi-Rate Time-Series Compression by Grouping Sensor Data
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Solution Overview
Problem
Existing data compression techniques are inefficient when dealing with time-series data from multiple sensors with different sampling rates, as they require separate compression processes for each data series, leading to increased complexity and reduced efficiency.
Innovation Solution
A data compression device that groups multiple data series with different sampling rates into a unified series, excluding duplicated timing information and using dummy data to create an integrated series, which can then be compressed efficiently using algorithms like Huffman compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If separate compression processes are performed for each data series with different sampling rates, then compression can be performed using existing techniques, but compression efficiency decreases and processing complexity increases
Solution Approach 1:
The patent merges multiple data series with different sampling rates into a single integrated data series by aligning them based on timing information. This allows a single compression process to handle what would otherwise require multiple separate compression operations, thereby improving compression efficiency while maintaining ease of implementation through unified processing
2Reliability
If multiple separate compression processes are used for data series with different sampling rates, then each data series can be compressed independently, but the overall processing time and computational load increase
Solution Approach 1:
The patent combines multiple data series into one integrated series before compression, allowing simultaneous processing of all data series. This unified approach maintains data integrity through consistent handling while significantly reducing total processing time compared to sequential separate compression operations
3Manufacturing precision
If data series with different sampling rates are compressed separately, then compression algorithms can be optimized for each specific rate, but device complexity and operational complexity increase
Solution Approach 1:
The patent creates a universal compression system that handles multiple data series with different sampling rates through a single integrated process. The system uses timing information and dummy data insertion to create a unified data structure that can be processed by a single compression algorithm, eliminating the need for multiple specialized compression paths and thereby reducing system complexity
Data Source
AI summary
An object of the present invention is to efficiently compress a plurality of kinds of data series with different sampling rates. A data compression device has a grouping unit and a compression unit. The grouping unit groups a plurality of kinds of data series with different sampling rates. The compression unit compresses the data series grouped by the grouping unit.