Gamma Spectroscopy Data Compression via Dynamic Scheme Selection
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Solution Overview
Problem
Current data compression methods for gamma radiation spectroscopy data result in impractically large data volumes, making it difficult to store and manage the vast amounts of data collected during surveys of contaminated land, especially when low count rates are discarded, leading to incomplete data sets and bandwidth limitations.
Innovation Solution
A method and system that dynamically choose between multiple compression schemes based on the characteristics of the data, using measures like low data rate, nibble, and byte compression schemes to optimize storage efficiency, allowing for the storage of all data sets, including low count rates, and enabling real-time data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional compression methods (ZIP, GZIP, run length encoding) are used to compress gamma spectroscopy data, then some data reduction is achieved, but the compressed data volume remains impractically large for storage and management
Solution Approach 1:
The patent segments the spectrum data into multiple regions (e.g., low-energy region, high-energy region, Compton region) and applies different compression schemes to each region based on its characteristics. This allows optimal compression for each segment while maintaining overall data integrity, achieving practical storage volumes without losing important spectral information
Solution Approach 2:
Different compression algorithms and parameters are applied to different regions of the spectrum based on local characteristics. For example, regions with high count rates use different compression strategies than regions with low count rates, optimizing the overall compression ratio while preserving data quality where it matters most
2Loss of information
If all gamma radiation spectra data is collected and stored at full resolution, then complete data sets are available for analysis, but the data storage requirements and transfer bandwidth become prohibitively large
Solution Approach 1:
The patent implements dynamic compression where the compression level and scheme are adjusted based on the actual data characteristics being processed. The system dynamically selects compression parameters based on spectrum complexity, count rate distribution, and regional characteristics, achieving adaptive compression that maintains data completeness while minimizing storage requirements
Solution Approach 2:
The system changes compression parameters (such as bin width, region boundaries, and compression algorithm selection) based on the characteristics of the input spectrum data. This allows the compression ratio to be optimized for each data set while maintaining the necessary data quality for subsequent analysis
3Quantity of substance
If high compression ratios are applied to reduce data storage needs, then storage and transfer costs decrease, but data quality and analysis accuracy may be compromised
Solution Approach 1:
The patent incorporates feedback mechanisms where the compression process monitors data characteristics and adjusts compression levels to maintain quality thresholds. The system evaluates spectrum regions and applies compression only where it does not compromise analysis accuracy, ensuring that critical spectral features are preserved while achieving practical storage volumes
Data Source
AI summary
A data processing system (10) for compressing gamma spectroscopy data includes a data input (18) for receiving data representing counts for each of a plurality of bins. The counts represent a set of binned gamma spectroscopy data. The data processing system (10) also includes a processor (20). The processor (20) is arranged to: read the counts in each bin; calculate a measure representative of the counts using the counts in one or more of the bins; choose, using the measure, which one of at least two compression schemes to use to compress the data representing the counts; and compress the data representing the counts according to the chosen compression scheme; and write the compressed data representing the counts to a data storage device (22).