Radioactivity Measurement Data Expansion for Rapid Accurate Analysis
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Solution Overview
Problem
Conventional radioactivity measurement methods require long durations, often taking 2 to 3 days or more, which is inconvenient for rapid analysis, especially in situations requiring immediate results, such as in power plants.
Innovation Solution
A method utilizing extended data through random sampling and Monte Carlo simulations to estimate the final radioactivity value by creating a database of initial measurement patterns, combining time and energy scanning to predict the last measurement result in a short time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional direct measurement method is used, then measurement accuracy is maintained, but measurement time becomes excessively long (2 to 3 days or more)
Solution Approach 1:
The patent applies preliminary action by pre-acquiring extended measurement data and storing it in a database before actual measurement needs arise. The system pre-processes reference data and creates a foundation of statistical information that can be rapidly queried and applied during urgent measurements, eliminating the need to wait for complete data accumulation in real-time
Solution Approach 2:
The patent uses copying by creating a database of reference measurement patterns from extended data and using Monte Carlo simulations to generate synthetic measurement data. These copied and simulated data sets serve as proxies for actual measurements, allowing the system to predict final results based on partial measurements combined with reference patterns, thereby reducing actual measurement time while maintaining accuracy
2Reliability
If measurement duration is extended to 2-3 days, then complete radioactivity accumulation is achieved, but rapid analysis capability is lost
Solution Approach 1:
The patent implements feedback by continuously comparing partial measurement results against the database of extended reference data and using Monte Carlo simulations to predict final outcomes. The system provides feedback loops where measurement data is progressively accumulated and compared with reference patterns, allowing early termination when confidence thresholds are met, thus enabling rapid analysis without sacrificing reliability
Solution Approach 2:
The patent applies partial action by performing measurements for only a fraction of the traditional 2-3 day duration. By combining partial real-time measurements with pre-acquired extended reference data through Monte Carlo simulations, the system achieves reliable results with significantly reduced measurement time, performing only the necessary portion of data collection rather than complete accumulation
3Loss of time
If extended data and Monte Carlo simulations are used, then measurement time is reduced to seconds, but system complexity increases
Solution Approach 1:
The patent reduces operational complexity by performing complex data processing, database creation, and Monte Carlo simulation setup in advance during system initialization. Once the reference database is built and simulation parameters are configured, actual measurements require only simple data querying and comparison operations, making the measurement process itself straightforward despite the sophisticated underlying infrastructure
Solution Approach 2:
The system applies self-service through automated Monte Carlo simulations that autonomously process measurement data and generate predictions without requiring manual intervention. The database automatically stores and retrieves reference patterns, and the simulation engine independently performs statistical analyses, reducing the need for complex manual data processing procedures
Data Source
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AI summary
The present invention relates to a radioactivity measurement method and a radioactivity measurement system using data expansion. A radioactivity measurement method using data expansion according to the present invention comprises the steps of: measuring radioactivity while performing energy scanning and temporal scanning; preparing a database from a time-energy-related data set obtained in result of the scanning; expanding the database by means of random distribution fitting; and obtaining a radioactivity measurement value of desired time from the database.