Sediment Fingerprint Matrix Comparison for Accurate Source Tracing
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Solution Overview
Problem
Existing sediment tracing methods are heavily influenced by human factors, leading to incomplete and inaccurate identification and classification of sediment sources and source-sink relationships, making it difficult to effectively prevent soil erosion and sediment entry into water bodies.
Innovation Solution
A method involving sampling at multiple points, measuring sediment grain size distribution and mass percentages, plotting sediment fingerprint matrices, and comparing patterns to determine sediment source similarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If observation-based methods and erosion monitoring methods are used for sediment tracing, then the process is simple to operate, but the measurement precision and reliability of sediment source identification deteriorate due to human factors influencing data completeness and accuracy
Solution Approach 1:
The patent replaces human-dependent observation and monitoring methods with an automated image processing system. Cameras capture images of sediment particles, and computer algorithms automatically analyze grain size distribution, eliminating human subjectivity and improving measurement precision while maintaining operational simplicity through automated workflows.
Solution Approach 2:
The patent introduces an intermediary image processing system between the sediment samples and the analysis results. Instead of direct human observation, images serve as intermediaries that capture sediment characteristics objectively, which are then processed through standardized algorithms to produce reliable source identification results.
2Device complexity
If traditional sediment tracing methods are used, then the device complexity is low, but the measurement precision and reliability of source-sink relationship understanding deteriorate due to inability to capture true sediment sources and migration processes
Solution Approach 1:
The patent replaces simple collection methods with an automated image capture and processing system. Multiple cameras positioned at strategic locations automatically capture sediment images, and computer algorithms process these images to reliably trace sediment sources and understand migration processes, improving reliability while managing device complexity through systematic design.
Solution Approach 2:
The patent implements preliminary actions by pre-positioning cameras and establishing standardized image processing protocols before sediment tracing begins. This preparation ensures that when sediment migration occurs, the system is already configured to capture and analyze the data reliably, improving source-sink relationship understanding without requiring complex real-time adjustments.
3Ease of manufacture
If sampling points alone are used for sediment analysis, then the sampling process is simple, but the measurement precision deteriorates due to insufficient spatial coverage and incomplete information collection
Solution Approach 1:
The patent segments the sampling process into multiple spatial zones by deploying cameras at different locations (upstream, downstream, left bank, right bank relative to each sampling point). This segmentation provides comprehensive spatial coverage, ensuring complete information collection while maintaining systematic simplicity through structured multi-point sampling geometry.
Solution Approach 2:
The patent transitions from one-dimensional sampling (single points) to three-dimensional spatial sampling by positioning cameras in multiple directions around each sampling point. This dimensional expansion captures sediment characteristics from various perspectives, improving measurement precision through comprehensive spatial coverage while maintaining systematic organization.
Data Source
AI summary
The method for tracing a sediment source, including: sampling at sampling points and multiple additional testing points around each sampling point; measuring sediment grain size distribution and corresponding mass percentages to plot sediment grain size distribution curves of each sampling point and its additional testing points; plotting a sediment fingerprint matrix of each sampling point; comparing patterns of the sediment fingerprint matrix of the first sampling point with patterns of the sediment fingerprint matrix of the second sampling point, and determining whether sediment at the first sampling point and that at the second sampling point have the same source. The sediment fingerprint matrix that illustrates the variation of sediment characteristics in different grain size intervals. In addition, by comparing the sediment characteristics in the corresponding grain size intervals, the tracing and classification of sediment from different locations can be achieved.