Soil Drilling Pressure Analysis for Nitrogen Leaching Risk
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing nitrogen leaching risk in soil suffer from low adaptability and poor accuracy due to the presence of abnormal values in pressure data, which are influenced by soil conditions and device performance, leading to inaccurate determination of peak pressure and nitrogen leaching risk.
Innovation Solution
A method involving soil drilling to acquire pressure data, using a calibration curve to determine fluctuation factors, setting an IQR coefficient, and constructing a box plot to filter out abnormal values, thereby improving data processing adaptability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If model fitting methods are used to assess nitrogen leaching risk, then comprehensive analysis can be performed, but the device complexity and data processing requirements increase significantly
Solution Approach 1:
The patent segments the complex pressure data into quartiles and identifies abnormal values through box plot analysis, dividing the data processing task into manageable parts that can be handled systematically without requiring complex model fitting methods
Solution Approach 2:
The patent uses calibration curves as reference copies to compare against actual pressure data, allowing for simplified assessment by matching patterns rather than performing complex computational modeling
2Productivity
If direct pressure data collection is performed without filtering, then data acquisition is simple, but abnormal values reduce measurement precision
Solution Approach 1:
The patent performs preliminary filtering of abnormal values using box plot analysis before determining peak pressure, preparing the data in advance to ensure accurate measurement without requiring complex real-time processing during acquisition
Solution Approach 2:
The patent introduces the IQR coefficient as an intermediary parameter that mediates between raw pressure data and peak pressure determination, using the coefficient to identify and filter abnormal values while preserving valid data points
3Adaptability or versatility
If fluctuation factors are determined through calibration curve comparison, then data adaptability improves, but additional processing steps increase time consumption
Solution Approach 1:
The patent changes the parameter representation by determining fluctuation factors through calibration curve comparison rather than complex model fitting, adapting the processing approach to match different soil conditions while maintaining efficiency through parameter-based analysis
Data Source
AI summary
Disclosed is a method for assessing nitrogen leaching risk based on farmland soil pressure, including the following steps: acquiring soil drilling pressure data from a plurality of soil layers of different depths on soil to be tested using a soil drilling device, to obtain raw soil drilling pressure data; comparing a calibration curve with a raw soil drilling pressure curve; setting an interquartile range (IQR) coefficient based on a first fluctuation factor and a second fluctuation factor, and constructing a box plot of the raw soil drilling pressure data based on the IQR coefficient; and determining a peak soil drilling pressure according to the box plot of the raw soil drilling pressure data, and determining nitrogen leaching risk according to a depth interval of soil layer. The box plot is utilized to filter out abnormal values, ensuring the accuracy of assessing the nitrogen leaching risk in soil.