GPU Compute Shader for Geochemical Anomaly Delineation
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Solution Overview
Problem
Current geochemical data processing methods are inefficient, particularly when dealing with large datasets, as they rely on serial processing on central processing units (CPUs), which limits real-time interactive delineation of geochemical anomalies.
Innovation Solution
A GPU-based integrated processing method and system that stores geochemical data in a three-dimensional array structure and uses compute shaders for parallel processing to calculate mean values, standard deviations, and threshold values, enabling real-time anomaly delineation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CPU serial processing is used for geochemical data processing, then processing accuracy can be maintained, but processing speed and efficiency deteriorate significantly
Solution Approach 1:
The patent segments the geochemical data processing into multiple independent parallel computing tasks that can be executed simultaneously on GPU cores. The data is divided into batches or chunks that can be processed in parallel while maintaining the integrity and accuracy of the overall analysis, thus resolving the contradiction between serial processing accuracy and parallel processing speed.
Solution Approach 2:
The patent replaces the traditional CPU-based mechanical serial processing system with a GPU-based parallel processing system. This substitution leverages the architectural differences between CPU and GPU, where GPU's thousands of cores can handle multiple geochemical calculations simultaneously, achieving both high speed and maintained accuracy through hardware-level parallelism.
2Adaptability or versatility
If manual intervention and iterative processing with Excel are used, then processing flexibility is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The patent implements dynamic parameter adjustment capabilities within the automated GPU processing system, allowing users to modify processing parameters and thresholds in real-time without restarting the entire workflow. This dynamic adaptability maintains processing flexibility while eliminating the time-consuming iterative manual intervention required by traditional Excel-based methods.
Solution Approach 2:
The system incorporates automated anomaly detection and delineation algorithms that self-adjust and optimize processing parameters without requiring manual intervention. The GPU-based system automatically handles data normalization, statistical analysis, and anomaly identification, reducing both time consumption and operational complexity while maintaining the flexibility to process different data types.
3Ease of manufacture
If traditional CPU-based processing is used, then implementation simplicity is maintained, but real-time interactive delineation capability is lost
Solution Approach 1:
The patent creates a universal GPU processing framework that can handle multiple geochemical analysis tasks simultaneously - including data processing, statistical analysis, anomaly detection, and interactive delineation - all within a single integrated system. This multi-functionality maintains implementation simplicity while enabling real-time interactive capabilities that were previously impossible with traditional CPU-based processing.
Data Source
AI summary
A GPU-based integrated processing method for geochemical data, includes the following steps: S1, storing geochemical data in a format of a preset three-dimensional array data structure Struct_A, S2, iteratively processing the formatted geochemical data by using a compute shader in a GPU, calculating a mean value and a standard deviation of content of each chemical element, calculating a threshold value of the chemical element, eliminating sampling points according to the threshold value, repeating the operations until there is no sampling point to be eliminated, and calculating a final mean value as a background value and a final threshold value as a lower limit value of anomaly; and S3, constructing spatial coordinates according to the obtained new geochemical data set, loading the spatial coordinates into a fragment shader for rendering, and completing anomaly delineation according to the background value and the lower limit value of anomaly.