Microscopic video image monitoring and assessing method of agglomeration and discretion degree of soil particles

Abstract

The invention discloses a microscopic video image monitoring and assessing method of the agglomeration and discretion degree of soil particles. The method comprises the following steps: establishing a microscopic video grey scale image database, establishing a corresponding relation between every substance and the grey level interval in the database, carrying out statistics on the relation between the quantity of pixels in the grey level interval, representing all substances and the content or form of the substances in the microscopic video grey scale image, and determining the practical characteristic parameters of soil to be detected according to the relation in order to determine the agglomeration and discretion degree of soil particles. The method allows onsite microscopic video assessment of a soil sample to be directly carried out without a process from onsite soil disturbance sampling to laboratory test; the agglomeration and discretion process details of the soil particles can be tracked in real time by adopting the microscopic video image; and soil in a region can be continuously monitored in real time for a long term through the microscopic video image monitoring and assessing method of soil evolution in order to obtain the evolution rule of the soil in the region.

Description

technical field [0001] The invention relates to the technical field of soil evolution monitoring, in particular to a microscopic video image monitoring and evaluation method for the degree of aggregation and dispersion of soil particles. Background technique [0002] The degree of agglomeration and dispersion of soil particles is related to conditions such as soil, moisture content and distribution, porosity, and freeze-thaw cycles. Therefore, monitoring the degree of agglomeration and dispersion of soil particles can provide evidence for the evolution of soil. [0003] At present, the monitoring of the degree of agglomeration and dispersion of soil particles mainly adopts the field test method based on manual measurement. In this method, the traditional manual measurement needs to be sampled first, which disturbs the soil greatly. The soil obtained in this process The performance of the body sample has deviated from the state of real soil particles, so its accuracy is far ...

AI Technical Summary

Problems solved by technology

[0003] At present, the monitoring of the degree of agglomeration and dispersion of soil particles mainly adopts the field test method based on manual measurement. In this method, the traditional manual measurement needs to be sampled first, which disturbs the soil greatly. The soil obtained in this process The performance of the body sample has deviated from the state of real soil particles, so its accuracy is far from enough; secondly, the obtained soil samples are often returned to the laboratory for testing and analysis, and the efficiency is extremely low; Distribution, degree of combination of soil particles and water, and other parameters are very easy to change due to soil sample preservation and manual operation. Obviously, the accuracy of the test results is not enough.

Each test result can only represent the state of the soil at that time, and cannot accurately express the evolution process of soil particle aggregation and dispersion

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