9 results about "Parent material" patented technology

The invention discloses equipment for repairing and treating farmland heavy metals by using black peat, and relates to the technical field of farmland heavy metal repairing. The equipment for repairing and treating the farmland heavy metals by using the black peat comprises pit digging equipment; through the arrangement of the adjustable assembly, the rotating motion of the motor is converted into the vertical feeding motion of the pit digging part, the power is accurately distributed through the cooperation of a rotating shaft switching rod and a clamping block, and the pit digging depth can be accurately controlled through the multiple meshing of sliding teeth on a stable sliding block with a small gear, a third gear shaft body and a fourth gear shaft body; pit digging is guaranteed to just penetrate through a polluted layer without damaging a soil parent material layer below the polluted layer, a plow pan of agricultural soil has the important effect of preserving moisture and fertilizer, the structure is extremely prone to being damaged by traditional large-scale machinery or manual digging, water and fertilizer loss is caused, accurate control of the equipment can guarantee that the operation depth is kept above the plow pan, and the situation that the plow pan is damaged due to too deep digging is avoided. Organic matters are wasted in pollution-free deep soil.

The application discloses a kind of well down pipe string erosion risk assessment method based on gas field production parameters, comprising the following steps, step 1, based on the relationship between the deformation wear amount, cutting wear amount and particle impact load of parent material, the production situation is established;Step 2, based on the production pipe string structure, the gas-solid erosion prediction model of production pipe string is established, and the grid-independent solution is obtained;Step 3, according to the relationship between the deformation wear amount, cutting wear amount and particle impact load in step 1, the gas-solid erosion prediction model is optimized to the error within 5% range;Step 4, based on the direct relationship between the optimized gas-solid erosion prediction model and production parameters, determine the production parameters corresponding to the erosion degree;Step 5, establish three-dimensional critical production parameter chart containing yield, pressure, sand production, according to the production parameters in step 4, erosion risk assessment is carried out on production pipe string of different materials.

The present application provides a kind of coal mining three-dimensional ecological environment protection method. It relates to coal mining and ecological environment protection technical field, including, S1. the ore body occurrence condition investigation is implemented to the mining area to be mined, according to the ore body occurrence condition investigation result, mining area, dumping area and buffer protection zone are divided, and three-dimensional ecological environment database containing space coordinates and ecological index is established;S2. in the mining process, the soil is stripped in the order of humus layer, plough layer and parent material layer, and each layer of soil is transported to the closed functional soil storage for storage. The coal mining three-dimensional ecological environment protection method significantly shortens the ecological restoration period and improves the agricultural and landscape value of the reclaimed land in the mining area, realizing the long-term stability and sustainable development of green mine.

This invention relates to the field of geological exploration technology and discloses a method for investigating geologically formed selenium-rich soils. The method includes: determining the survey scale; extracting agricultural map patches of the proposed survey area and selecting plots; based on the survey scale, setting up surface soil sampling points, profile soil sampling points, rock sampling points, and agricultural product sampling points within the selected plots; collecting surface soil, profile soil, rock, and agricultural product samples according to the set points and preparing them; analyzing and testing each sample to obtain test data; when the test data meets the requirements of selenium-rich soil layer thickness and parent material selenium content, the soil is determined to be geologically formed selenium-rich soil with a stable natural selenium source. This invention, by constructing a complete material investigation system encompassing rocks, parent material, soil, and agricultural products, can accurately identify selenium-rich soils with deep, stable natural selenium sources, effectively control survey costs, and provide a basis for the safe development of selenium-rich land.

This invention relates to a soil complex dielectric hybrid model that integrates interfacial polarization and temperature competition mechanisms, comprising the following steps: (1) measuring clay content, temperature, and humidity in the soil, while simultaneously determining the microwave frequency of the desired remote sensing product, and calculating the maximum bound water content and free water conductivity; (2) obtaining the real part of the free water dielectric considering the MW interfacial polarization mechanism; (3) obtaining the imaginary part of the free water dielectric considering the bound water effect, the MW interfacial polarization mechanism, and the temperature competition mechanism; (4) obtaining the complex dielectric constant of bound water; (5) based on the complex dielectric constants of free water, bound water, soil parent material, and air, as well as the maximum bound water content, soil porosity, volume fraction of soil parent material, soil humidity, and the wet soil complex dielectric hybrid model, calculating the real and imaginary parts of the complex dielectric constant of wet soil. This invention provides a soil complex dielectric hybrid model with higher accuracy and a wider frequency band applicability, offering a new parameterization scheme for passive microwave remote sensing and in-situ soil moisture inversion.

The application discloses a method for generating random artificial soil or artificial stone based on 3D printing, which adopts the following steps: 1) determining a spatial variability model and statistical characteristics of simulated artificial soil or artificial stone, generating a random field distribution of set parameters, and obtaining corresponding parameters of each unit soil body; 2) selecting reinforcing materials, base materials and cementing materials, and obtaining a relationship curve between the mixing amount of the reinforcing materials and the parameters of the related artificial soil or artificial stone through experiments; 3) obtaining the parameters of the unit soil body and the corresponding mixing amount of the reinforcing materials, and then converting the parameters into the layer ratio of the unit soil body base material and the reinforcing material to input a 3D printing control computer; and 4) printing according to units until the printing of all units in the random field is completed, and the random artificial soil or artificial stone is generated. The application can construct a rock-soil sample generated by using the random field theory in a three-dimensional space, and is used for verifying whether the random finite element method is correct.

This invention relates to the field of soil environmental technology, specifically to a method and system for statistical analysis of soil environmental background content based on multi-source data fusion. The method includes: S1, multi-source data acquisition: by setting up monitoring points, surface and deep soil samples are collected to obtain information on heavy metal and new pollutant content, physicochemical parameters, soil type, and parent material. Simultaneously, satellite remote sensing imagery, meteorological monitoring data, historical monitoring databases, administrative division data, and land use data are used to form a multi-source dataset; S2, data preprocessing; S3, spatial feature extraction; S4, temporal feature extraction; and S5, deep fusion modeling. Convolutional Neural Networks (CNNs) are used to extract spatial features, Long Short-Term Memory Networks (LSTMs) are used to extract temporal features, and deep fusion is performed using Multilayer Perceptrons (MLPs) to effectively reflect the spatial distribution patterns and temporal trends of soil elements.

The invention relates to the technical field of soil environment, in particular to a soil environment background content statistical method and system based on multi-source data fusion. The method comprises the following steps: S1, multi-source data acquisition: arranging monitoring points, acquiring surface and deep soil samples, and obtaining heavy metal and new pollutant contents, physical and chemical parameters, soil types and parent material information; meanwhile, a multi-source data set is formed by utilizing satellite remote sensing images, meteorological monitoring data, a historical monitoring database, administrative division data and land utilization data; s2, data preprocessing; s3, extracting spatial features; s4, time feature extraction; and S5, carrying out deep fusion modeling. A convolutional neural network (CNN) is used for extracting spatial features, a long short-term memory network (LSTM) is used for extracting time features, deep fusion is carried out through a multi-layer perceptron (MLP), and the spatial distribution rule and the time change trend of soil elements are effectively reflected.

The invention discloses a parent material source correction and discrimination method, which comprises the following steps: collecting reservoir extracts of target shale, obtaining saturated hydrocarbon data of a target layer section, and determining a numerical value of a parent material source index of a target divided layer section according to the saturated hydrocarbon data; dividing correction coefficients according to parent material sources to correct index values corresponding to the target layer sections; and determining the parent material source of the target layer section according to the corrected index characteristic value. According to the method, the shale parent material sources are divided by correcting the abnormal data and utilizing the value combination of saturated hydrocarbons C27, C28 and C29, and technical support can be provided for shale exploration.