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22 results about "Soil classification" patented technology
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Soil classification deals with the systematic categorization of soils based on distinguishing characteristics as well as criteria that dictate choices in use.
Remote sensing image data acquisition method for farmland soil type classification
The invention relates to the field of remote sensing image processing, in particular to a farmland soil type classification-oriented remote sensing image data acquisition method, which comprises the following steps of: regularly acquiring remote sensing image data of a target area according to a preset period; obtaining a distance measure between any two pixel points in each remote sensing image, and segmenting each remote sensing image to obtain a ground feature region; analyzing the trend and the amplitude of each pixel point on the spectral curve, and determining the red edge expression degree of each pixel point; determining the vegetation growth performance degree of each pixel point; determining the farmland soil segmentation quality of each remote sensing image; and screening a to-be-classified image from all remote sensing images of the target area, screening a farmland soil area to construct a bare soil mask image, and performing farmland soil classification on a ground feature area in the to-be-classified image in combination with a neural network. According to the method, the farmland soil area in the remote sensing image is accurately divided, and the accuracy of farmland soil type classification is improved.
Owner:GUIZHOU NORMAL UNIVERSITY +1
Hyperspectral soil classification method
The invention relates to the technical field of soil spectral analysis, in particular to a hyperspectral soil classification method, which comprises the following steps: acquiring hyperspectral images of various types of soil to be detected, and extracting a spectral feature group and a texture feature group from the hyperspectral images; obtaining topographic data, and extracting a topographic feature group from the topographic data; calculating separability indexes of the three feature groups among different soil classes; weighting the three feature groups based on a separability index to obtain an input feature vector; simplifying the input feature vector by adopting a recursive feature deletion method to obtain an optimal feature vector; and inputting the optimal feature vector into a middle layered random forest model for soil type detection to obtain a predicted soil type. According to the method, hyperspectral spectral features, spectral indexes, texture features and topographic features are integrated, a high-dimensional multi-source feature optimization mechanism based on factor weighting and recursive feature screening is introduced, and classification precision and model robustness are improved while feature dimensions are remarkably compressed.
Owner:JILIN UNIVERSITY
Subgrade compaction quality detection method based on ultrasonic wave collaboration
PendingCN121955179AHigh precisionStrong real-timeAnalysing solids using sonic/ultrasonic/infrasonic wavesProcessing detected response signalEnvironmental dataWater content
The invention relates to the technical field of roadbed detection, and discloses a roadbed compaction quality detection method based on ultrasonic wave collaboration, and the roadbed compaction quality detection method comprises the following steps: collecting full-wave band ultrasonic echo signals, and obtaining current environment data; calculating a longitudinal wave speed, a transverse wave speed and a wave speed ratio, and extracting an attenuation coefficient and a frequency dispersion characteristic of the ultrasonic echo signal to obtain an acoustic characteristic set; inputting the acoustic feature set and the environmental data into an environmental compensation model, outputting a standard acoustic parameter set subjected to temperature, humidity and water content correction, analyzing the standard acoustic parameter set through a soil texture classification algorithm, and judging the current soil texture type; and combining the standard acoustic parameter set and the current soil texture type into a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a compactness calculation model, and calculating to obtain a roadbed compactness value of the current measuring point. According to the method, high-precision compaction degree numerical calculation is realized, and intelligent and visual whole-process support is provided for roadbed construction quality.
Owner:SHANDONG ZAOZHUANG ENVIRONMENTAL MANAGEMENT SERVICE GRP CO LTD
Soil classification prediction method and system based on environment and remote sensing multi-source data
The invention relates to the technical field of computer data processing, and provides a soil classification prediction method and system based on environment and remote sensing multi-source data. The method comprises the following steps: constructing a soil characteristic data set containing spectral characteristics, physicochemical characteristics and environmental characteristics; calculating the contribution degree of each feature to soil classification and the correlation degree between the features, generating an initial weight configuration, updating a weight coefficient according to the contribution degree of the spectral feature and / or the correlation degree between the physicochemical feature and the environmental feature, generating an adaptive weight configuration, and based on the adaptive weight configuration, carrying out weighted fusion on a feature subset of which the contribution degree exceeds a contribution degree threshold value, so as to obtain an adaptive weight configuration; generating a soil classification feature vector, constructing a soil classification decision tree based on the soil classification feature vector, and determining an optimal classification path; and predicting a classification result of the to-be-classified soil sample based on the optimal classification path, if the confidence of the classification result does not meet a confidence threshold condition, updating the weight coefficient, and returning to the step of generating the adaptive weight configuration until the confidence threshold condition is met, thereby obtaining a final classification result.
Owner:YUNNAN DAOSHI GEOGRAPHIC INFORMATION SYSTEM ENGINEERING CO LTD
Method and system for measuring particle size and grading of soil layer particles based on ultrasonic sensor
ActiveCN120846924AProcessing detected response signalParticle size analysisComputational scienceSoil science
The invention belongs to the field of classification and identification of soil in engineering geology, and particularly relates to a method and system for measuring the particle size and grading of soil layer particles based on an ultrasonic sensor. The objective of the invention is to solve the problem of accurate soil layer classification and naming. High-frequency ultrasonic waves and low-frequency ultrasonic waves are alternately emitted to a soil layer to be detected. After synchronously capturing the two reflected signals, respectively extracting scattering characteristics of the first-diameter particles and penetration characteristics of the second-diameter particles; and fusing the two characteristics to generate a composite particle size distribution curve, and presuming the particle size and grading of the soil layer particles by comparing with a pre-stored soil classification judgment model. The method is implemented through an ultrasonic acquisition device of the engineering geology in-situ test equipment, the ultrasonic emission interval is dynamically adjusted according to the penetration rate of the equipment, and continuous acquisition and real-time measurement of the vertical stratum are achieved until scanning of the whole stratum profile is completed. According to the invention, the technical problems of synchronous accurate detection and in-situ continuous measurement of coarse and fine particles are solved.
Owner:CHINA ARMY SURVEY & DESIGN INST CO LTD
Saline-alkali soil intelligent classification method based on improvement measure effect
The invention relates to the field of soil classification, in particular to a saline-alkali soil intelligent classification method based on an improvement measure effect, and the method comprises the steps: carrying out the collection and adaptive calculation of land parcel multi-source feature data, and obtaining a basic parameter set; performing difference analysis on the plot obstacle factor structure to obtain a macroscopic obstacle mode correction factor; carrying out conjoint analysis on the land parcel improvement demand degree and the adjustment characteristics to obtain a microscopic improvement feasibility correction factor; performing fusion calculation on the Euclidean distance and the correction factor to obtain an improved effect correction distance; and performing clustering analysis on the improvement effect correction distance to obtain an intelligent classification result of the saline-alkali soil, thereby solving the problems of land parcel improvement mode identification distortion and measure matching error caused by distance measurement isotropy in an existing clustering algorithm.
Owner:JILIN ACAD OF AGRI SCI
A method for obtaining soil strength index based on soil layer geophysical data
The application discloses a method for obtaining soil strength indexes based on soil layer geophysical prospecting data, and comprises the following steps: S1, obtaining the test depth and equivalent shear wave velocity of different measuring points in a target site; obtaining the drilling samples of each measuring point at the corresponding depth, obtaining the corresponding internal friction angle and soil type; preprocessing the collected data to obtain a comprehensive data set; S2, selecting the test depth and equivalent shear wave velocity in the comprehensive data set as basic features, constructing derived features, performing feature standardization, and obtaining a data set; dividing the data set into a training set and a test set; S3, based on the training set obtained in S2, optimizing and training the soil classification model and the internal friction angle prediction model; S4, obtaining the soil strength index internal friction angle based on the soil classification model and the internal friction angle prediction model obtained by the training in S3. The method of the application realizes high-precision prediction of soil strength indexes by constructing derived features and introducing physical range constraints.
Owner:TIANJIN UNIV
Surface soil type identification method based on MCP-ShuffleNet V2
The invention provides a surface soil type identification method based on MCP-ShuffleNet V2, and the method comprises the following steps: S1, obtaining a sample soil image, and carrying out the preprocessing of the sample soil image, and then forming a training data set; s2, constructing an MCP-ShuffleNet V2 prediction model, and inputting the training data set into the MCP-ShuffleNet V2 prediction model to carry out training; and S3, obtaining a to-be-detected soil image, preprocessing the to-be-detected soil image, and inputting the preprocessed to-be-detected soil image into the trained MCP-ShuffleNet V2 prediction model to obtain a soil classification result of the to-be-detected soil image, so that interference of non-soil elements in the soil image can be effectively inhibited, a neural network is guided to focus on a key soil area, a continuous and derivable MELU activation function is provided, and the accuracy of the soil classification result is improved. And the gradient disappearance problem is effectively avoided, so that the final soil type identification precision is effectively ensured.
Owner:CHONGQING NORMAL UNIVERSITY +1
Portable soil classified storage device for environmental assessment
ActiveCN223658843UWaste collection and transferNon-removalbe lids/coversStructural engineeringEnvironmental impact assessment
Owner:SHENZHEN GUANGSHENGYUAN ENVIRONMENTAL PROTECTION TECHNOLOGY CO LTD
Soil hardness prediction method and device, equipment, storage medium and program product
The invention discloses a soil hardness prediction method and device, equipment, a storage medium and a program product, and relates to the technical field of image data processing, and the soil hardness prediction method comprises the steps: determining soil attribute data, predicting soil humidity time sequence data through the attribute data, carrying out the soil classification, and finally determining the soil penetration resistance. Comprehensive calculation of the soil hardness is achieved, meanwhile, the change trend in a period of time in the future can be reflected, and the timeliness and the refinement degree of drawing are remarkably improved. Meanwhile, widely available environmental data (such as satellite remote sensing, digital elevation models and meteorological reanalysis products) are used as input and can be quickly applied to areas lacking measured data, the data acquisition cost and time are greatly reduced, and the method has the capability of being popularized and applied to large-scale areas (such as provincial levels and drainage basins).
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
A seabed immersed tube tunnel foundation trench soil information output method
ActiveCN115470619BDesign optimisation/simulationSpecial data processing applicationsRailway tunnelSoil science
The method comprises the following steps: S1, establishing a three-dimensional base trench geological model; S2, establishing a two-dimensional base trench mileage pile number line; S3, matching and calculating the starting and ending mileage pile numbers of a calculation area; S4, inputting boundary condition parameters of the calculation area; and S5, one-key table output of soil information of the calculation area. The method is based on the three-dimensional base trench geological model and combined with a soil classification calculation method, and under the condition of ensuring calculation accuracy, one-key table output of information of various types of soil in a local area of the base trench is realized, the calculation accuracy and efficiency are significantly improved compared with a traditional section method, important quantitative basis is provided for selection of construction equipment and process of excavation of the local area of the base trench, the effect is very obvious, and the method is also applicable to rapid calculation and output of soil information of linear engineering such as a base trench, a waterway, a highway, a railway, a tunnel and urban rail transit, and is widely applied.
Owner:CCCC GUANGZHOU DREDGING CO LTD
Residue soil classification treatment device of rotary drilling rig
The invention relates to the technical field of classification treatment devices in the field of constructional engineering, in particular to a rotary drilling rig muck classification treatment device which comprises a treatment box installed on a U-shaped plate, the treatment box is in a square tube shape, a first opening is formed in the top end of the side wall of one side of the treatment box, and a second opening is formed in the bottom end of the side wall of the other side of the treatment box. A separation mechanism is arranged in the treatment box, an auxiliary mechanism is mounted on the treatment box, and a driving mechanism is arranged on the outer side of the treatment box; dug soil is poured into a treatment box, stones and the soil are separated through a separation mechanism, when the stones and the soil are separated, a driving mechanism is started, an auxiliary mechanism improves the separation efficiency of the separation mechanism, the stones are collected by a first collection mechanism from a first opening, and the soil flows out of a second opening and is collected by a second collection mechanism; and the stone and soil separation effect is achieved.
Owner:CCCC SHANGHAI DREDGING CO LTD
Method and system for determining soil particle size and gradation based on ultrasonic sensors
ActiveCN120846924BProcessing detected response signalParticle size analysisComputational scienceContinuous measurement
The application belongs to the field of soil classification and identification in engineering geology, and particularly relates to a method and system for measuring soil layer particle size and grading based on an ultrasonic sensor, aiming to solve the problem of accurate soil layer classification and naming. The application adopts high-frequency and low-frequency ultrasonic waves to alternately emit to the soil layer to be measured. After synchronously capturing two kinds of reflected signals, the scattering characteristics of the first diameter particles and the penetration characteristics of the second diameter particles are extracted respectively. The two kinds of characteristics are fused to generate a composite particle size distribution curve, which is compared with a pre-stored soil classification and identification model to infer the particle size and grading of the soil layer. The method is implemented by an ultrasonic acquisition device of an engineering geology in-situ test equipment, the ultrasonic emission interval is dynamically adjusted according to the penetration rate of the equipment, continuous acquisition and real-time measurement of the vertical stratum are realized, and the entire stratum profile scanning is completed. The application solves the technical problems of synchronous and accurate detection of coarse and fine particles and in-situ continuous measurement.
Owner:CHINA ARMY SURVEY & DESIGN INST CO LTD
A remote sensing image data acquisition method for farmland soil type classification
The application relates to the field of remote sensing image processing, in particular to a remote sensing image data acquisition method for farmland soil type classification, which comprises the following steps: periodically acquiring remote sensing image data of a target region according to a preset period; obtaining distance measurement between any two pixel points in each remote sensing image, segmenting each remote sensing image to obtain a ground object region; analyzing the trend and amplitude of the spectrum curve of each pixel point to determine the red edge performance degree of each pixel point; determining the vegetation growth performance degree of each pixel point; determining the farmland soil segmentation quality of each remote sensing image; screening a to-be-classified image from all remote sensing images of the target region, screening a farmland soil region to construct a bare soil mask image, and combining a neural network to perform farmland soil classification on the ground object region in the to-be-classified image. The application aims to accurately divide the farmland soil region in the remote sensing image and improve the accuracy of farmland soil type classification.
Owner:GUIZHOU NORMAL UNIVERSITY +1
A soil undisturbed soil sampling device for black soil classification zoning
The application discloses a soil undisturbed soil sampling device for black soil classification and partitioning, which is used for sampling deep soil A and relates to the technical field of soil sampling, and comprises a guide cylinder, which is obliquely extended into deep soil, a side opening is formed in the side wall of the guide cylinder, the side opening is located below A, and the axis of the side opening passes through A; a position adjusting assembly, which has a position adjusting end, the position adjusting end can adjust the depth of the extension into the guide cylinder; an adjuster, which is fixed to the position adjusting end and has an extension end, the extension end can move along the radial direction of the guide cylinder; and a sampling assembly, which is arranged on the extension end, the application avoids the process that the sampling tool penetrates the soil layer above the target sampling point, maximally eliminates the disturbance to the soil at the target sampling point, and maximally maintains the undisturbed structure of the soil.
Owner:HEILONGJIANG UNIV
Soil layer division method and system based on adaptive PELT change point detection algorithm
The invention discloses a soil layer division method and system based on an adaptive PELT change point detection algorithm, and the method comprises the steps: carrying out the iterative calculation based on the conical tip resistance and side wall friction resistance, and obtaining a soil body classification index, the normalized conical tip resistance, the normalized friction ratio and a stress index; based on the soil body classification index sequence, adaptively determining a penalty coefficient and a minimum layering thickness parameter of a PELT change point detection algorithm to obtain a parameter-optimized PELT change point detection algorithm; adjusting the position of the interface in combination with a depth weighting method to obtain an optimized soil layer interface depth sequence; and determining and outputting the type of each layer of soil in combination with a soil layer classification standard. According to the method, dynamic optimization of parameters is realized based on combination of static sounding data, soil body classification indexes and a parameter-adaptive PELT change point detection algorithm, and the adaptability of the algorithm to different soil layer conditions is improved; and meanwhile, through a depth weighting method, the interference of data noise on interface positioning is effectively reduced, and the precision and anti-noise capability of interface positioning are remarkably improved.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN) +1
Based on CPT and V s Liquefaction evaluation method that considers geological age effects in joint testing
This invention belongs to the technical field of geotechnical engineering and earthquake engineering, and provides a method based on CPT and V s The joint testing method for liquefaction assessment, which considers the geological age effect, can quantitatively characterize the geological age effect of soil, combine the advantages of CPT and Vs tests, and does not require precise soil age information. The technical solution adopted includes the following steps: S1, in-situ test data acquisition, including static cone penetration test and shear wave velocity test; S2, parameter normalization processing, calculating normalized cone tip resistance and normalized shear wave velocity, and then introducing the soil classification index to obtain the normalized cone tip resistance of equivalent pure sand; S3, establishing the correlation between benchmark static cone penetration test and shear wave velocity; S4, determining the geological age aging factor of soil; S5, constructing a comprehensive evaluation index considering geological age; S6, establishing a liquefaction assessment model; S7, determining the liquefaction discrimination probability threshold; S8, evaluating the site liquefaction potential.
Owner:TAIYUAN UNIVERSITY OF TECHNOLOGY
Sediment classification system and classification method
To provide a sediment classification system and classification method that can classify dredged sediment with high accuracy into materials of desired particle sizes using an inexpensive apparatus, and can effectively utilize the classified materials as construction materials such as downstream return materials and aggregates.SOLUTION: The sediment classification system includes mud-loosening means 2 that loosens sediment 1, and a classification unit 3 that classifies the sediment 1 loosened by the mud-loosening means 2 into desired particle sizes, where the classification unit 3 is configured so as to be constituted by a combination of arbitrary classification means.SELECTED DRAWING: Figure 1
Owner:WATER SOURCE ENVIRONMENTAL CENT +9
A method for soil classification and map compilation
The application discloses a soil classification and map compilation method, and particularly relates to the technical field of soil investigation and remote sensing image processing, and comprises the following steps: acquiring remote sensing images, surface images, sampling point data and elevation data of a target region; performing resampling and spatial position alignment on the remote sensing images and the surface images, and projecting the sampling point data and the elevation data into an image coordinate system after alignment to output scene data; calculating spectral difference values, texture difference values, slope difference values and coverage difference values according to the scene data according to image positions, extracting regions with difference values and continuous regions larger than surrounding image elements, and outputting candidate boundary zones; and positioning through multiple sources, extracting the candidate boundary zones, accumulating differences on both sides of the zonal units, and connecting soil boundaries, wherein the scheme further constrains the grid recognition result to a continuous boundary formation process, relatively suppresses patch fragmentation, boundary swing, mis-cutting and mis-splicing, and is beneficial to stably converting the soil recognition result into soil boundaries which can be directly compiled into maps.
Owner:YUNNAN GAOYANG TECH CO LTD
An intelligent classification method for saline-alkali soil based on improved measure effect
The present application relates to the field of soil classification, and more particularly to a method for intelligent classification of saline-alkali soil based on effects of improvement measures, which comprises: obtaining a basic parameter set by collecting and adaptively calculating multi-source feature data of a land plot; obtaining a macroscopic obstacle pattern correction factor by conducting difference analysis on obstacle factor structures of the land plot; obtaining a microscopic improvement feasibility correction factor by jointly analyzing improvement demand degree and adjustment features of the land plot; obtaining an improvement effect modified distance by fusing and calculating Euclidean distance and the correction factor; and obtaining an intelligent classification result of the saline-alkali soil by conducting cluster analysis on the improvement effect modified distance, so as to solve the problems of land improvement mode recognition distortion and measure matching error caused by isotropy of distance measurement in existing cluster algorithms.
Owner:JILIN ACAD OF AGRI SCI
A Site Seismic Delineation Method Based on the Correlation between Static Penetration Testing and Shear Wave Velocity
This invention belongs to the technical field of geotechnical engineering and earthquake engineering, and provides a site seismic delineation method based on the correlation between static cone penetration test (CPT) and shear wave velocity, fully combining CPT and V s The advantages of the two testing methods are that by introducing characteristic parameters reflecting the degree of soil aging, a more reasonable classification of seismic sites can be achieved, thereby improving the scientific nature of site classification and the reliability of seismic design. The method includes the following steps: S1, in-situ test data acquisition, including static cone penetration test and shear wave velocity test; S2, parameter normalization processing, calculating normalized cone tip resistance and normalized shear wave velocity, and then introducing soil classification index to obtain the normalized cone tip resistance of equivalent pure sand; S3, establishing the correlation between benchmark static cone penetration test and shear wave velocity; S4, determining the soil geological age aging factor; S5, constructing a comprehensive site seismic classification index; S6, site seismic category classification; S7, engineering application and result output.
Owner:TAIYUAN UNIVERSITY OF TECHNOLOGY
Earth pressure balance shield improved muck classification evaluation method and system
The invention relates to the technical field of earth pressure balance shield construction, in particular to an earth pressure balance shield improved muck classification evaluation method and system. According to the method, unsupervised clustering analysis is carried out by comprehensively considering multiple target judgment indexes related to muck improvement, and an improved muck classification system comprehensively considering the influence of multiple factors is established. The index interval value corresponding to each improved muck category is determined through probability density analysis, the improved muck with different physical and mechanical properties can be effectively distinguished, a clear quantitative reference is provided for subsequent muck improvement effect classification prediction based on improved muck classification, and the accuracy of soil pressure balance shield improved muck classification evaluation is improved. And finally, constructing a classification prediction model by using a limit gradient lifting algorithm, predicting the improved muck category to which the improved muck obtained by the muck improvement scheme to be detected belongs, and realizing accurate classification evaluation of the muck improvement effect.
Owner:GUANGZHOU METRO GRP CO LTD +1