120 results about "Soil type" patented technology

The invention relates to the technical field of water resource management, in particular to a flow hydrograph simulation method based on coupling of a Xinanjiang model and a depression, and the method comprises the steps: obtaining the geographic space data and meteorological data of a target drainage basin; the geospatial data at least comprises a digital elevation model, land utilization data and soil type data; and carrying out sub-drainage-basin division on the target drainage basin based on the digital elevation model, identifying depressions in the digital elevation model by adopting an improved priority flood algorithm, and constructing a spatial topological relation of the depressions. According to the method, the hydrological characteristics of the depression are fused into the Xinanjiang model, the regulation and storage function of the depression group on the drainage basin runoff is quantified, the hydrological simulation precision of the depression dominant drainage basin is remarkably improved, and by improving the depression recognition algorithm, pre-construction of the slope confluence time matrix based on the cells and rapid judgment of the depression merging mechanism, the stability of the depression confluence time matrix is improved. The calculation speed of the distributed hydrological model is greatly improved, and the efficiency requirement of the real-time hydrological model can be met.

The invention relates to a soil erosion amount dynamic monitoring method and system based on multi-source remote sensing data fusion. The method comprises the following steps: acquiring multi-source remote sensing data and auxiliary data, and performing geometric fine correction and atmospheric correction on an image based on high-resolution digital elevation data to obtain a data set with consistent space; performing inversion based on the data set to obtain a corrected terrain factor and a water and soil conservation measure factor; generating a time sequence rainfall erosivity factor and a time sequence vegetation coverage factor in combination with the multi-temporal satellite rainfall data; and calculating a preliminary soil erosion modulus in combination with the soil type map, and correcting by using multi-stage high-resolution digital elevation data to obtain a dynamic monitoring result of the soil erosion amount. By adopting the method, the problem of multi-source data fusion matching can be solved, and the factor inversion precision is improved, so that the accuracy of a dynamic monitoring result of the soil erosion amount is improved.

Disclosed in the present invention is an intelligent energy efficiency management system for an LNG dual-fuel powered trailing suction hopper dredger, comprising: an online intelligent LNG energy efficiency monitoring module, configured to collect energy efficiency key factor parameters of a main energy consumption device of the LNG dual-fuel powered trailing suction hopper dredger to form a unified LNG powered trailing suction hopper dredger energy efficiency data dictionary; an intelligent energy efficiency analysis and evaluation module, configured to construct, on the basis of the LNG powered trailing suction hopper dredger energy efficiency data dictionary, an operating condition identification model, an energy efficiency indicator calculation model, a carbon emission calculation model, an energy efficiency level model and a periodic energy efficiency analysis model to form an energy efficiency analysis and evaluation system; and a dredging operation energy efficiency auxiliary decision-making module, configured to construct an energy consumption prediction model for ten-thousand cubic meters of soil on the basis of soil type, design dredging depth, construction parameters and historical fuel consumption data, and recommending a dredging construction operation parameter combination by means of an optimization algorithm. Also disclosed is an intelligent energy efficiency management method for an LNG dual-fuel powered trailing suction hopper dredger. The present invention increases the energy efficiency.

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.

The invention discloses a buried gas pipeline multi-leakage parameter identification and concentration distribution rapid prediction method, and belongs to the technical field of buried gas pipeline safety detection. The method comprises the following steps: firstly, based on a porous medium flow control equation and a component transport equation, establishing a leakage diffusion physical model by utilizing computational fluid mechanics and generating a multi-working-condition sample data set; training a neural network model by using the sample data, and constructing a rapid concentration prediction agent model; in combination with measured data of a monitoring area, an ensemble Kalman filtering algorithm is adopted, the agent model serves as a forward prediction operator, and collaborative inversion of parameters such as the soil type, the leakage direction and the flow is achieved through iterative updating; and finally, outputting complete underground gas concentration distribution in the monitoring area based on the leakage parameters obtained through identification. According to the method, rapid identification of multiple leakage parameters and accurate prediction of concentration distribution are realized under the condition of limited measuring points, and the method has remarkable disaster early warning and engineering application values.

The invention discloses an osmotic pressure analysis method and device fusing model optimization and physical inversion and a medium, and the method comprises the steps: calculating correlation coefficients of a specified reservoir water level and osmotic pressure under different time lags based on cross-correlation function analysis, and recognizing a differential nonlinear feature corresponding to the maximum correlation coefficient; aiming at the differentiated nonlinear characteristics of different dam types, constructing a plurality of corresponding diagnosis prediction models in parallel, and establishing a model selection decision rule to select an optimal diagnosis model; according to delay parameters obtained through cross-correlation analysis, a permeability coefficient is reversely deduced through a pore medium heat transfer diffusion theoretical formula; according to the regression slope and the theoretical value attenuation factor of the optimal model, a permeability coefficient is reversely deduced in combination with a correction diffusion equation, credibility evaluation and weighted fusion are performed on the permeability coefficient, and a comprehensive permeability coefficient is calculated; and diagnosing the soil type and the permeability characteristic grade. According to the method, the propagation delay characteristic of reservoir water level change in the pore medium can be accurately quantified, and the inversion precision of the permeability coefficient and the engineering applicability are improved.

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.

The invention relates to the field of technical analysis and to determining for construction purposes the optimum moisture content and maximum density of natural and man-made soils under static compaction. The essence of the invention consists in compacting a first soil specimen after first determining the initial moisture content thereof and, if necessary, adjusting same by adding water in accordance with recommended values for the given type of soil. A compaction mold cylinder and a lower liner are then placed on 18-20 mm high support stands on a level surface, a weighed amount of the soil under examination is placed in the compaction mold cylinder, the cylinder is positioned on a base plate of a compactor, a top plate of the compactor is brought into contact with the upper end of the cylinder and the compactor is set to a 20 mPA loading mode which is maintained for 5-10 minutes. Loading is ceased, the compaction mold is removed from the compactor, the compacted specimen is extruded and the volume thereof is calculated, the specimen is broken up, a representative sample is taken and weighed on electronic scales with an accuracy of up to 0.01 before being dried and reweighed. On the basis of the data obtained, the damp soil density and the dry soil density are calculated according to given formulae, and the data obtained are entered into a table and noted on a graph. A second soil specimen is compacted, the moisture content of which is increased by 1%, the specimen is placed in the compaction mold, placed under a 20 mPA load in the compactor and held for 5-10 minutes, after which loading is ceased, the compaction mold is removed from the compactor, the compacted specimen is extruded, the volume thereof is calculated, the specimen is broken up, a representative sample is taken and weighed on electronic scales with an accuracy of up to 0.01 before being dried and reweighed, the moisture content of the soil and the dry soil density are calculated and the d

The present application relates to the technical field of ecological restoration scene modeling, in particular to an ecological restoration scene modeling method and system platform applied to land space planning, comprising the following steps: based on successful ecological restoration technical scheme cases and land units to be restored.The present application realizes modeling in data source selection granularity and expression dimension by normalizing the multi-dimensional attributes between successful ecological restoration technical scheme cases and land units to be restored, constructing source-target land feature fingerprint sets, and combining annual mean temperature, precipitation, soil type, pH value, altitude, native vegetation type and labor cost and other specific attributes.Further, by setting importance coefficients according to the influence degree of each dimension in historical restoration success cases, the present application guides feature difference weight calculation, and obtains technical migration adaptation score by combining normalized difference value calculation, thereby establishing a quantifiable source land adaptation capability evaluation index, and breaking the original limitations of relying on experience judgment.

The application provides an engineering quantity measurement method based on power construction supervision engineering, comprising: acquiring geographic coordinate data of an extra-high voltage tower base position, extracting terrain and landform diversity features and soil type difference information from the geographic coordinate data through satellite remote sensing image processing, and obtaining an extra-high voltage tower base resistance geographic regularity distribution map through geographic information system superposition analysis; collecting high-voltage electric field interference intensity data generated by an extra-high voltage transmission line around the tower base, combining the extra-high voltage tower base resistance geographic regularity distribution map, analyzing the influence degree of high-voltage electric field interference on tower base grounding resistance fluctuation, and obtaining an adjusted tower base resistance change rate and fluctuation frequency; obtaining tower base position analysis results from a differentiated steel reinforcement cage binding quantity measurement strategy, combining a resistance geographic regularity subset to optimize the distribution proportion of the steel reinforcement cage binding quantity, and obtaining a resource configuration optimized binding quantity measurement table.

The application provides a soil salinization response simulation method and device, the method comprises the following steps: obtaining the soil type, terrain grid data and meteorological data of a target area; inputting the terrain grid data into a first processing model to obtain a sub-basin division result; inputting the meteorological data and soil type into the first processing model according to the sub-basin division result to obtain sub-basin daily precipitation data and sub-basin evapotranspiration; inputting the sub-basin daily precipitation data and sub-basin evapotranspiration into a second processing model to obtain soil salt content and crop yield in combination with sub-basin irrigation; obtaining soil salinization prevention and control measures according to the soil salt content and crop yield; wherein the first processing model is obtained by calibrating a preset processing module according to the difference between the monthly runoff of a basin and the measured calibration data. The application can improve the accuracy, applicability and operability of soil salinization prevention and control.

The invention relates to the technical field of soil management, and discloses a multi-source data-based agricultural decision support system, which comprises a dialogue module, a land parcel module and a my module, and is characterized in that the dialogue module comprises trial questions, historical dialogues and voice questions and answers; the land parcel module comprises land parcel management, periphery matching, report generation and data analysis; the my module comprises members, fruit values, reward fruit values, account setting, privacy policies, message notification and system setting. According to the agricultural decision support system based on the multi-source data, scientific and rigorous investment decisions can be made based on detailed historical climate records, geographical environment characteristics, altitude differences, soil types, market trends and other factors of selected land parcels; meanwhile, information such as historical climate, real-time weather forecast, disaster early warning and minute-level rainfall prediction within the range of 3-6 kilometers around a specific land parcel can be timely acquired, and agricultural producers can flexibly arrange agricultural activities conveniently.

The present invention provides a height optimization system for an energy dissipation device mounted on a trailing suction hopper dredger. The optimization system comprises a core parameter input module, a hopper loading process simulation and prediction module, a hopper loading efficiency analysis module, a design optimization output module, and an automatic height adjustment module. During construction, the height of the energy dissipation device can be automatically and accurately adjusted in real time on the basis of different soil types and different slurry concentration requirements. The energy dissipation device is positioned neither too low, which would cause rapidly settling coarse-grained sediment to block the outlet of the energy dissipation device, nor too high, which would cause inflow into the hopper to disturb the sediment and increase overflow losses of suspended sediment. By accurately controlling the height of the energy dissipation device, the construction efficiency of the trailing suction hopper dredger is improved, while adverse impacts of hopper overflow on the construction water environment can be reduced, thereby providing engineering application value. The present invention enables automatic and flexible adjustment of the height of the energy dissipation device and, by reducing overflow losses, improves hopper loading efficiency and the uniformity of sediment distribution within the hopper.

The invention provides a rock-soil geological survey analysis method and equipment, and belongs to the technical field of soil survey, and the method specifically comprises the following steps: according to the coincidence degree of matched sampling pressure intervals of different soil types, combining the soil type data of the sampling pressure intervals belonging to the matched sampling pressure intervals; determining an identification processing method of taking the sampling pressure interval as an alternative pressure interval, utilizing the alternative pressure interval and the sampling analysis processing data of the alternative pressure interval, and combining the overlapping degree of the matched sampling pressure interval of the soil type and the alternative pressure interval; and the sampling processing method of the soil type in different alternative pressure intervals is determined, so that the sampling processing accuracy is improved.

This utility model discloses a device for improving soil structure, including a base plate, a crossbeam plate, and a longitudinal beam plate. The crossbeam plates are symmetrically arranged on the right side of the base plate, and the longitudinal beam plates are fixedly connected at equal intervals between the crossbeam plates. Locking components are connected to the outer sides of the crossbeam plates and longitudinal beam plates. Deep loosening shovels are fixedly connected to the bottom of the locking components. The fertilizer box and deep loosening shovels at the bottom of the base plate can be quickly disassembled and assembled. The number of fertilizer boxes and deep loosening shovels can be flexibly increased or decreased according to the area of ​​the soil to be improved, adapting to different soil types for deep loosening improvement. Organic matter can be directly transported to the deep layers where the root system is active, significantly improving the improvement effect. Deep loosening and deep fertilization can be completed in one operation, reducing the number of times machinery enters the field and fuel consumption.

The invention aims to provide a method for increasing soil fertility and measuring ammonium nitrogen of the soil. The method for increasing the soil fertility comprises the step of adding the microbial agent into the soil to prepare the composite microbial agent for repairing the saline-alkali soil and improving the soil fertility, and the composite microbial agent adapts to various types of soil, so that organic matters of the soil are increased, available nitrogen, phosphorus and rapidly available potassium are remarkably increased, the salinity and alkalinity are effectively reduced, and the soil fertility is improved. Meanwhile, the invention provides a soil ammonium nitrogen measuring method which is efficient, visual, low in cost and capable of measuring on site.

The application relates to the technical field of intelligent sensors, and discloses a method and system for detecting appearance defects of a covered soil type liquefied hydrocarbon storage tank. The method comprises the following steps: acquiring ground surface temperature distribution data above a soil layer, generating an initial temperature sequence and separating a medium-high frequency disturbance component, determining a soil heat capacity delay effect parameter and correcting the temperature sequence; a super-temperature difference threshold value is used to strip the soil thermal physical influence to obtain a pure thermal anomaly signal; a thermal distribution law is restored and mapped to a three-dimensional coordinate system of the storage tank to determine a preliminary defect boundary; a gradient is calculated to accurately locate a corrosion layer damage position, heat insulation attribute data and a fire risk assessment model are fused to generate an early warning report containing a defect position, a risk level and a processing suggestion. The method can realize accurate and efficient detection of appearance defects of the storage tank and meet the high-precision and continuity requirements of safety monitoring.

The invention relates to a black soil area resource data processing method and device based on a geographic information system. The method comprises the following steps: acquiring remote sensing image data, soil attribute data and land utilization data of a black soil area; determining a terrain gradient by utilizing remote sensing image data, determining a soil type by utilizing soil attribute data, and determining a land utilization mode by utilizing land utilization data; dividing the black soil area into a plurality of relatively homogeneous space evaluation units based on the terrain gradient, the soil type and the land utilization mode; performing evaluation on execution conditions of various black soil protection measures in each space evaluation unit by adopting a preset regional cost-efficiency ratio target, an economic benefit target and an ecological benefit target, and determining a target protection measure of each space evaluation unit; and configuring a corresponding target protection measure in each space evaluation unit to form a space configuration scheme. By adopting the method, the spatial configuration granularity can be refined, and the configuration accuracy of the black soil protection measures is improved.

This invention provides a method and equipment for rock and soil geological exploration and analysis, belonging to the field of soil exploration technology. Specifically, it includes: determining a sampling pressure interval as a candidate pressure interval based on the degree of overlap between matching sampling pressure intervals for different soil types, and combining soil type data belonging to the matching sampling pressure interval; using the candidate pressure intervals and the sampling analysis data of the candidate pressure intervals, and combining the degree of overlap between the matching sampling pressure intervals and the candidate pressure intervals for soil types, determining the sampling processing methods for soil types in different candidate pressure intervals, thereby improving the accuracy of sampling processing.

The invention relates to the technical field of agricultural water conservancy monitoring, in particular to an agricultural water conservancy monitoring platform, which comprises a data acquisition module used for acquiring monitoring parameters of a plurality of land parcels and a plurality of time periods. According to the invention, spatial dimensions are divided according to soil types and land parcel positions through a spatial-temporal feature division module, time dimensions are divided according to day and night periods and crop growth stages to form independent spatial-temporal units, and adaptive clustering radiuses are independently calculated for each unit in combination with a domain clustering radius calculation module. The dynamic clustering module determines a dynamic minimum sample number according to unit historical data distribution and executes DBSCAN clustering according to units, and the anomaly judgment module recognizes abnormal data which are not distributed to class clusters; the problems that in the prior art, agricultural monitoring space-time heterogeneity is not considered, and due to a single clustering parameter, abnormal detection space-time adaptability is insufficient, and precision is unstable are effectively solved.

The invention discloses a soil-buried submarine pipeline oil spill simulation test device and method, and relates to the technical field of ocean engineering and environmental protection. The device comprises a simulation test unit, a fluid supply unit, a control unit and an observation unit. The simulation test unit comprises a water tank, a sediment containing device and a simulation oil pipeline, oil spilling holes are formed in the side wall of the pipeline, and internal threaded holes are formed in the top. The control unit comprises a pneumatic valve, an air compressor and an electromagnetic valve, the pneumatic valve is directly connected to the inner threaded hole in a sealed mode through threads, and electric control opening and closing of the oil overflow hole are achieved. And the observation unit adopts a high-speed camera to align to a transparent soil area in the device. The method comprises the steps of model assembly, system connection, oil spill simulation, data acquisition and the like. According to the invention, the oil spilling process of the buried pipeline can be simulated with high fidelity, and dynamic accurate control of a leakage port and visual collaborative observation of the diffusion process of an oil phase in a soil body are realized.

The invention provides an automatic soil moisture distribution measuring method based on multi-source data decoupling. The automatic soil moisture distribution measuring method comprises the following steps: collecting multi-source heterogeneous data and carrying out time alignment operation; performing feature enhancement and decoupling on the multi-source heterogeneous data to obtain anti-interference features; performing tensor fusion on the anti-interference features, and constructing a credibility weight matrix; performing feature matching on the multi-source heterogeneous data and a soil database to determine a soil type; taking the soil type as a constraint condition, and combining with the credibility weight matrix to construct a characteristic equation; solving the characteristic equation through a two-channel network model to obtain a theoretical moisture value; performing interpolation operation on the theoretical moisture values in the space-time coordinate system based on the plurality of theoretical moisture values to obtain a three-dimensional moisture field; and performing gradient calculation on the three-dimensional moisture field through a finite element analysis method to obtain a real moisture value. According to the method, through dynamic alignment of multi-source heterogeneous data, anti-interference feature decoupling and soil type constraint modeling, the precision and universality of soil moisture measurement are improved.

The application relates to the technical field of safety monitoring, and discloses a method and system for remotely monitoring and diagnosing a covered soil type liquefied hydrocarbon storage tank. The method comprises the following steps: acquiring soil longitudinal temperature profile data and sound wave time domain reflection signals, and constructing a multimodal monitoring sequence containing Brillouin frequency shift and sound wave attenuation coefficient; determining a temperature sudden drop region, and extracting a dominant low-frequency scattering component; separating a phase stable characteristic frequency, backstepping an ice content gradient distribution and determining an ice content diffusion path; fitting an initial coordinate of a leakage source, fusing historical data to update an abnormality confirmation probability and a coordinate uncertainty; if the probability is higher than a threshold, extracting a confidence ellipse center as a final positioning coordinate, and triggering a leakage alarm in combination with a diffusion state. The method can realize accurate leakage remote monitoring and positioning of the storage tank, and meets the safety monitoring reliability and accuracy requirements.

The application discloses a corn field pest identification method based on underground pest image feature recognition. The method effectively suppresses uneven internal soil illumination through homomorphic filtering, highlights pest edge details, improves detection stability, introduces causal feature decoupling and intervention learning, makes the model learn the morphological characteristics of pests rather than background pseudo-correlation, maintains high recognition rate under different soil types and humidity conditions, and fuses near-infrared texture features, uses the spectral difference between biological tissues and soil in the near-infrared wave band, and enhances the distinguishing ability of pests and sundries with similar colors.

The utility model belongs to the technical field of soil pollution treatment, and particularly relates to soil pollution treatment liquid medicine repairing and spraying equipment which comprises a movable base. The liquid medicine box is fixed at the top of the movable base; the soil loosening assembly is located at the bottom of the movable base and comprises a suspension frame, a plurality of boot-shaped soil loosening pieces fixed to the front end of the suspension frame and an electric push rod, the rear end of the electric push rod is hinged to the bottom of the movable base, and the front end of the electric push rod is hinged to the middle of the front end of the suspension frame; the first spraying assembly is fixed to the bottom of the movable base. According to the soil pollution abatement liquid medicine remediation spraying equipment, the depth of the soil loosening piece extending into the soil can be dynamically adjusted according to the type of the soil, the abatement and remediation requirements of different types of soil such as viscous soil and sandy soil are met, and the remediation effect is easily improved; in addition, during spraying remediation, double-layer spraying of the surface layer and the deep layer is formed, a three-dimensional remediation network is formed, and the improvement of the soil pollution treatment effect and efficiency is facilitated.

This utility model discloses a long-lasting and stable garden ground cover fixing device, relating to the gardening field. It includes a soil-breaking nail, with an outer rod fixedly connected to its top. The inner wall of the outer rod has an outer rod groove and a threaded groove. A limit plate is fixedly connected to the top of the outer rod. A screw thread is threaded into the inner wall of the outer rod via the threaded groove. An inner rod is fixedly connected to the threaded outer wall. The inner rod has an inner rod groove. A torsion shaft is fixedly connected to the top of the inner rod, and a knob is fixedly connected to the top of the torsion shaft. The outer rod groove is rectangular, and there are four outer rod grooves evenly distributed on the inner wall of the outer rod. This utility model allows the garden ground cover to be fixed in various soil types by turning the knob to change the opening and closing state of the inner and outer rod grooves.

The invention relates to the technical field of soil detection, in particular to an instrument and method for measuring soil moisture through a capacitance method, the instrument comprises a recorder and a measuring box, and a pair of probes connected with the recorder is arranged in the measuring box; the pair of probes is connected with a voltage-sharing mechanism through an insulating plate. The voltage-sharing mechanism and the probes are respectively provided with a pressure sensor and a temperature sensor. The portable soil moisture detector is small and exquisite in structure and convenient to carry, soil moisture can be detected on site, and the soil moisture measuring efficiency is greatly improved; according to the invention, the moisture content of the soil sample is measured based on a capacitance method, correction coefficients are integrated through an artificial neural network based on influence factors such as soil type, salinity, pH value, compaction degree and temperature, a multi-parameter coupled nonlinear mapping model is constructed, and the measurement precision is effectively improved.

This invention discloses a tractor-driven mobile electric steam soil fumigation machine with automatic film covering, belonging to the field of agricultural machinery equipment technology. The machine includes a bracket with several plows and harrows fixedly connected to one side. A film-rolling roller is located at the top of one side of each plow and harrow, and a sprocket connecting shaft is rotatably connected to the bracket. The sprocket connecting shaft is also fixedly connected to the film-rolling roller at its through end. An adjustable puncture fumigation component is located on the side of the film-rolling roller away from the plows and harrows. This invention, by employing an adjustable puncture fumigation component, achieves continuous mechanized operation of "plowing and harrowing to loosen the soil, sealing with film, and deep directional steam injection." High-temperature saturated steam diffuses evenly in the sealed space under the film, improving disinfection thoroughness and single-machine operation efficiency. The equipment is stable and reliable in operation, has low maintenance costs, and can flexibly adapt to the fumigation and disinfection needs of different soil types and pathogen targets at different depths.

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.

The robot soil conditioner comprises a workbench, and a debugging area and a test area are arranged on the top face of the workbench; a station conversion column, a debugging table and a first mechanical arm are arranged in the debugging area, four stations are arranged on the four side faces of the station conversion column, and the four stations are the collection station, the humidity detection station, the water adding station and the drying station. The debugging table comprises a bottom base and an adjusting seat, the adjusting seat is slidably clamped on the bottom base, a pushing air cylinder is arranged on the bottom base, and a debugging glass plate and scraping equipment are arranged on the adjusting seat; a soil adjusting scraper is mounted at the tail end of the mechanical arm I; and test equipment is arranged in the test area. The soil conditioner can comprehensively and accurately identify the soil type and accurately detect the soil humidity, the water adding amount is calculated according to the soil characteristics and target requirements, full and uniform mixing of soil is achieved by simulating the manual soil conditioning action, meanwhile, automatic test detection is achieved, multiple times of adjustment can be conducted according to the detection result, and the working efficiency is improved. And it is ensured that the soil adjusting result meets the standard requirement, the automation degree of equipment is high, and labor cost and personal errors are reduced.