259 results about "Soil properties" patented technology

The invention belongs to the field of mud cake removal of shield tunneling machines, and discloses a shield cutterhead residue soil property sensing and intelligent mud cake removal system and method, and the system comprises a sensing module, a modifier spraying module, a regulation and control module and an intelligent terminal; the sensing module is used for collecting mechanical, chemical and thermodynamic signals in a soil bin of the shield tunneling machine in real time; the modifier spraying module is used for intelligently regulating and controlling the proportion of a modifier so as to inhibit mud cake adhesion; the regulation and control module is used for dynamically optimizing a modifier proportioning parameter and a cutterhead tunneling strategy according to the sensing data; and the intelligent terminal is used for displaying the mud cake distribution state and receiving a manual intervention instruction. According to the method, three-dimensional form dynamic analysis and accurate targeted removal of the mud cake can be realized.

The invention discloses an acid mine wasteland ecological restoration plant dynamic optimization configuration method, and relates to the field of ecological restoration, and the method comprises the following steps: 1, collecting soil attribute data in a predetermined range of an acid mine wasteland in a dotted manner, and synchronously obtaining growth attribute data of to-be-selected plants and periodic weather data of a target area; step 2, extracting a deterioration feature set having a deterioration effect on plant growth based on the soil attribute data, and analyzing a bioremediation feature set capable of inhibiting the deterioration feature in the plant attribute data to generate a candidate plant set; 3, constructing a dynamic environment simulation model based on a deep learning algorithm, wherein input dimensions comprise weather data time sequence features, soil deterioration feature vectors and a plant bioremediation feature matrix; the method can accurately predict the restoration effects of plants under different climate and soil conditions, simulate the effects of different intervention measures in real time, output the optimal intervention scheme, and ensure the balance between the resource utilization efficiency and the restoration effects.

The invention relates to the field of civil engineering, and discloses a foundation pit finite element model parameterization rapid modeling method which comprises the following steps: constructing a finite element model through foundation pit geometric information and soil characteristics, simulating soil response by adopting a nonlinear constitutive relation and a random process, and realizing foundation pit stability optimization and dynamic adjustment; the invention further provides a foundation pit finite element model parameterization rapid modeling system which comprises an input module, a modeling module, a constitutive model module, a random process module, a simulation module, an optimization module, a mesh refining module and a real-time monitoring module. According to the method, the foundation pit finite element model is automatically generated, the Kachanov-Delace nonlinear soil constitutive model is introduced, the soil elastic modulus random field is generated based on the Gaussian process, and the model parameters are dynamically adjusted in real time, so that the modeling process is simplified, the calculation precision is improved, the nonlinear behavior and dynamic response of the soil are accurately simulated, and the method is suitable for large-scale popularization and application. And the stability and the safety in the foundation pit design and construction process are obviously improved.

A method is provided for determining soil properties for an area of land, from soil spectrum data. In an embodiment, the method includes receiving soil spectrum data records from hyperspectral sensors that represent a mean soil spectrum of a specific geo-location of the area of land and removing interference signals from the spectrum data records to create soil spectral bands. The method also includes predicting a plurality of soil property datasets based on a partial least-square regression and the soil spectral bands and selecting specific soil property datasets from the plurality of soil property datasets to represent soil properties of the specific geo-location, wherein the specific soil property datasets include property data and spectral band data for spectral bands used to determine the property data. The specific soil property datasets may then be used to generate a crop prescription of recommended hybrid seeds or population densities for the specific geo-location.

The disclosure relates generally to methods and systems for ground water prediction using integration of satellite and auxiliary observations. Conventional techniques in the art for the ground water level prediction are not accurate and efficient for predicting the ground water level. The present disclosure combines time-series archived remote sensing data with a wide array of past auxiliary datasets specific to a given region for precise prediction of future ground water condition, to predict the ground water situation i.e. rising or declining for a given region. These encompass diverse information such as weather conditions, soil properties, agricultural data, population statistics, water resources information, industrial details, drought records, seismic data, and surface deformation patterns. The present disclosure also considers different future scenarios which can be built on future cropping patterns, forecasted weather conditions, use of irrigation system in future, and future population growth of the given region.

The invention discloses a soil acidification improvement method, and relates to the technical field of soil improvement, according to the soil acidification improvement method, evaluation of soil attributes is completed through multi-level diagnosis and calculation of the acidification coefficient, the physical obstacle coefficient and the buffer capacity coefficient of soil, and comprehensiveness of soil acidification analysis is ensured. The problem of limitation existing in the current soil acidification analysis process is solved, meanwhile, a threshold value is used for driving decision control flow branches, an improvement scheme is flexibly upgraded based on real-time monitoring data, the soil improvement effect is improved, closed-loop learning double feedback and S6, data are fed back to S1, self-optimization of the system is achieved, the system adapts to soil changes, and the soil acidification analysis efficiency is improved. An abnormal state after improvement is warned in time, so that the soil safety is guaranteed; the method is suitable for the fields of land restoration and the like, the soil improvement efficiency is improved through data-driven intelligent decision, resource waste is reduced, soil acidification is improved and upgraded, and a technical engine is provided for agricultural sustainable development and cultivated land protection.

The invention discloses a soil attribute intelligent prediction method and system based on a multi-dimensional dynamic scale, and relates to the technical field of soil prediction.The method comprises the steps that remote sensing images, terrain factors, meteorological factors and soil actual measurement sample data are collected and stored in a multi-source raster data bin in a unified mode; preprocessing the multi-source data, and constructing raster data in a unified format; combining terrain difference, land utilization and climate fluctuation, dynamically dividing a spatial scale, a time scale, a terrain layering scale and a land utilization pattern scale, and constructing a multi-dimensional dynamic scale feature expression vector; carrying out soil attribute modeling and training based on a multi-task deep neural network model; and applying the model to a non-actually-measured area, and outputting a prediction result and a spatial distribution map layer. The system comprises a multi-source raster data construction and management module, a multi-dimensional dynamic scale feature construction module and a soil attribute modeling and prediction module. The method can be used for forestry management and protection, resource management, ecological monitoring, resource evaluation and other scenes.

The invention relates to the technical field of agricultural machinery, in particular to a crop layered fertilization intelligent precision plowing and sowing machine which comprises a rack, a walking driving part is arranged on the rack, a sowing machine is arranged on one side of the rack, a bearing frame is fixedly connected to the side, away from the sowing machine, of the rack, and a plurality of rotary tillage assemblies are transversely arranged on the bearing frame at equal intervals; a plurality of fertilization assemblies capable of vertically sliding are arranged at the bottom of the side, close to the rack, of the bearing frame, transmission assemblies are arranged between the soil retaining assemblies and the fertilization assemblies, and the transmission assemblies are used for reducing the impact force of the soil particles raised by the rotary tillage assemblies to the soil retaining assemblies and reducing the impact force of the soil particles raised by the rotary tillage assemblies to the fertilization assemblies. Transmission is converted into driving force for the height of the fertilizing assembly. The soil texture is fed back through the impact force of soil particles raised by rotary tillage and soil disturbance, so that the layered fertilization depth is adjusted in a linkage manner, and the defects of poor adaptability between the fixed layered fertilization depth and different soil properties and soil nutrient loss in traditional tillage and sowing are overcome.

The invention discloses a power grid tower footing area vegetation restoration method based on biological source humic acid and application of the power grid tower footing area vegetation restoration method, and belongs to the technical field of ecological restoration and soil treatment. The technology aims at solving the problems of soil erosion and loss caused by environmental disturbance conditions such as vegetation damage in power grid construction, and the technical scheme mainly comprises the steps of adopting a soil improvement technology based on HFA or combining the HFA with other bio-fertilizers for use, and configuring a formula for plants suitable for planting and a vegetation management strategy. The method mainly comprises the following steps: measuring various physical and chemical factors of a soil sample around a tower footing, comparing the physical and chemical factors with an average (normal) value of local soil, and formulating the HFA use amount and concentration according to the results; investigating site conditions such as local weather, terrain, soil properties and the like, native plants and suitable plants, and formulating a plant planting formula and a comprehensive vegetation management scheme capable of iteratively growing in different seasons. According to the method, the vegetation restoration speed and environmental protection are both considered, and vegetation restoration and ecological environment improvement can be rapidly achieved.

The invention relates to the field of pipe jacking construction, in particular to an automatic detection device based on three-dimensional virtual pipe jacking construction and a detection method of the automatic detection device, real-time monitoring of circumferential stress and soil pressure is achieved through vibrating wire type stress meters and soil pressure meters which are arranged in multiple directions, a leveling mechanism can dynamically compensate the height of a sensor, and the situation that the data precision is affected by abrasion is avoided; a grouting opening is independently controlled according to the direction, the grouting amount is dynamically adjusted according to stress and soil pressure changes in combination with a formula, and effective supporting is formed after thixotropic slurry is solidified; the three-dimensional virtual model is combined with real-time data to realize construction rehearsal, risk early warning and parameter optimization, and closed-loop automatic control from data acquisition to grouting regulation and control is formed; the structure of the device adapts to different soil properties and jacking working conditions, the pipeline damage risk can be reduced, construction accidents and material waste are reduced, and the safety and economical efficiency of pipe jacking construction under the complex working conditions are improved.

The invention discloses a loess collapsibility evaluation method and system based on a geophysical prospecting test technology, and relates to the field of land exploration, and the method comprises the steps: laying regular detection grids in a to-be-evaluated loess site, and constructing a site geographic coordinate system; collecting Rayleigh wave signals in real time, inverting a transverse wave velocity profile, and collecting apparent resistivity data; a shallow soil sample is drilled, soil property parameters are measured, and a model is constructed according to the mapping relation between the field geophysical prospecting parameters and the soil property parameters; inputting the acquired data into the wave velocity-water content correlation model and the resistivity-dry density correlation model to generate a water content distribution field and a dry density distribution field; and calculating the collapsibility of loess in each detection grid based on a geophysical prospecting response equation of the collapsibility coefficient, outputting a collapsibility coefficient contour cloud picture, and judging the collapsibility grade of each grid and the distribution range of collapsed loess. The method has the advantages that the collapsibility distribution field and the contour cloud picture are generated through accurate non-intrusive data acquisition and model analysis, and a scientific basis is provided for engineering construction.

The invention discloses a sludge, bagasse and calcium oxide co-pyrolysis biochar as a soil additive, and a preparation method and application thereof, and belongs to the technical field of environmental restoration. Sludge biochar synergistically modified by bagasse and calcium oxide is used as a soil additive, calcium oxide is introduced for catalytic co-pyrolysis through the synergistic effect of bagasse and calcium oxide, and sludge-bagasse-calcium oxide biochar is prepared; the optimization effect of the sludge-bagasse-calcium oxide biochar in heavy metal contaminated soil remediation is evaluated through heavy metal occurrence form analysis, ecological risk assessment and soil remediation effect experiments. According to the sludge-bagasse-calcium oxide biochar prepared by the method, the fixing capacity of the biochar on heavy metals and the fixing efficiency of the heavy metals in soil are improved, and the physicochemical properties and fertility characteristics of the heavy metal contaminated soil are improved; the characteristics of the sludge-bagasse-calcium oxide biochar for well fixing heavy metals and improving soil properties are exerted, the ecological risk is reduced, the physicochemical properties and fertility characteristics of the soil are improved, and the application of a heavy metal contaminated soil remediation process is optimized.

The invention relates to a soil microorganism recovery index processing method and system and electronic equipment. The method comprises the following steps: collecting a soil sample in a gradient sample area, and measuring soil microbiological indexes and soil attributes; taking the soil microorganism indexes as a mother sequence, taking the soil attributes as subsequences, calculating correlation coefficients and correlation degrees between the subsequences and the mother sequence, and determining key soil attributes influencing soil microorganism recovery; determining a weight value of the key soil attribute; based on the numerical values of the key soil attributes in the original ecological reference area and the damaged unrepaired area, combining the weight values of the key soil attributes, and adopting an improved soil restoration index model to calculate and obtain a soil microorganism restoration index; the technical problem that in existing mining area ecological restoration evaluation, an original ecological system is not used as a benchmark, and the soil microorganism restoration degree cannot be quantitatively represented is solved, and the technical effect of achieving objective, comparable and quantifiable accurate evaluation of the soil ecological function restoration degree is achieved.

The invention discloses a soil attribute high-precision mapping method and system for optimizing the sampling number by fusing an air-ground imaging hyperspectral technology, and belongs to the technical field of soil monitoring. The method comprises the following steps: collecting and preprocessing a regional unmanned aerial vehicle hyperspectral image; collecting a sample point soil sample and obtaining ground imaging hyperspectral data of the sample point soil sample; screening and optimizing a sample point subset based on ground imaging hyperspectral data, measuring the available phosphorus content and training a prediction model; segmenting and extracting a soil region in the unmanned aerial vehicle image by combining a vegetation index and a maximum between-cluster variance method; and carrying out wave band alignment and reflectivity correction on the ground imaging hyperspectrum and the unmanned aerial vehicle soil spectrum, complementing corrected unmanned aerial vehicle hyperspectral data, and inputting the corrected unmanned aerial vehicle hyperspectral data into a soil available phosphorus prediction model to carry out inversion mapping. The problems that ground imaging data coverage is insufficient and unmanned aerial vehicle data is easily affected by the environment are solved, and key technical support is provided for intelligent agriculture and accurate soil nutrient management.

The invention relates to the technical field of slope reinforcement, and provides a micro pile combination reinforcement method for a highway expansive soil slope, which comprises the following steps: when the current stability safety coefficient, the current uplift bearing capacity, the current shear strength and the current flexural bearing capacity all meet the corresponding preset conditions, taking the current design size parameter as the final design size parameter; and according to the final design size parameters, the grouting amount of each hole in a first pile of the steel pipe pile assembly and the grouting amount of each hole in a second pile of the cast-in-place pile assembly are determined, and the steel pipe pile assembly is constructed on the slope bottom face of the expansive soil slope according to the grouting amount of each hole in the first pile. And then a cast-in-place pile assembly is constructed on the slope face of the expansive soil slope according to the grouting amount of each hole in the second pile. According to the method, the influence of the expansive soil property on design and construction of the micro piles is fully considered, interaction and combined arrangement of the micro cast-in-place piles and the micro grouting steel pipe piles are integrated, the safety and reliability of slope reinforcement are guaranteed, material waste caused by excessive conservative is avoided, and operability is high.

Various embodiments for an autonomous forest fire detection, alerting and mitigation device includes a subterranean data gatherer having a plurality of soil temperature and soil moisture sensors installed at a plurality of different depths in a soil. A data assimilator that has a configured threshold change depending on the plurality of different depths in the soil of the plurality of soil temperature and soil moisture sensors, the soil properties, the duration of the fire, and a time delay duration. The data assimilator receives a data transmission packet from the subterranean data gatherer and detects a fire and generates a fire alert when the plurality of soil temperature and soil moisture sensors all breach the configured threshold change. A smart water pump is also started to slow the fire or completely stop it. The subterranean data gatherer is installed at the plurality of different depths in the soil.

The invention belongs to the technical field of shield tunnel construction, and discloses a shield tunnel deformation overrun correction pile group and a correction method. The correcting method comprises the following steps that (1) a high-pressure jet grouting method is adopted, grouting is conducted on a soil layer outside a single segment with deformation exceeding the limit to form a pile column on the outer circle face of the segment, the grouting pressure in the grouting process acts on the segment through the soil layer outside the segment, and therefore correcting pressure for correcting deformation of the segment with deformation exceeding the limit is generated; the correction pressure acting on the duct piece is adjusted by adjusting the grouting pressure and / or the slurry return pressure; and (2) the step (1) is repeated till correction of all the segments, with deformation exceeding the limit, of the shield tunnel is completed. The radial piles are formed on the outer side of the tunnel through the high-pressure jet grouting technology, the soil property around the tunnel is improved, meanwhile, the size of the correction force is controlled by controlling the slurry return pressure in the jet grouting process, accurate correction of the deformation over-limit shield tunnel is achieved, and the operation safety of the shield tunnel is effectively guaranteed.

The invention relates to an automatic control system and method for the ground angle of a rake lip of a trailing suction hopper dredger, the system comprises a rake arm / rake head hydraulic cylinder sensor, a data collecting and processing unit and monitoring software, and the rake arm / rake head hydraulic cylinder sensor is used for obtaining rake arm posture and rake lip hydraulic cylinder stroke information; the data collecting and processing unit is used for collecting sensor data, calculating the actual value of the current ground angle of the rake lip in real time, judging the deviation between the actual value and the current target ground angle, and if the deviation exceeds a preset tolerance threshold value, generating a rake lip angle control output signal and transmitting the rake lip angle control output signal to the rake lip angle hydraulic executing mechanism. The current ground angle of the rake lip is adjusted to be the target ground angle in real time; and the monitoring software is used for visually displaying the system state and supporting parameter configuration and remote access. Under the conditions of different construction areas, different digging depths and different soil properties, the rake lip is always kept within a set angle range, so that the rake head can break soil more favorably, and the construction efficiency and the operation stability of a ship are effectively improved.

The present invention discloses a method for improving the prediction accuracy of soil iron oxide based on an amplified hyperspectral dataset. The method comprises the following steps: amplifying the hyperspectral dataset and performing multiple fractional-order differential transformations on the original hyperspectral spectrum using a fractional-order differential algorithm; then combining the fractional-order differential spectra with the original spectrum to form different amplified hyperspectral databases to amplify the amount of original spectral data; establishing a 1D-CNN neural network model for each of the different amplified hyperspectral databases, where the independent variable is the hyperspectral reflectance value and the dependent variable is the soil iron oxide content; and selecting the optimal 1D-CNN model based on the models established for the different amplified databases. The present invention effectively solves the problem of low accuracy of deep learning models under small sample conditions, improves the applicability and effectiveness of deep learning models to a certain extent, effectively improves the existing prediction accuracy of soil iron oxide based on hyperspectral data, and provides new methods and ideas for hyperspectral prediction research of other soil properties.

The invention relates to a road construction project supervision construction real-time state monitoring method and system based on big data. The method comprises the following steps: analyzing multi-source monitoring data to obtain a field matrix set and an adjacent set; feature parameters are extracted based on the field matrix set, and clustering processing is carried out on the feature parameters to obtain a soil property partition set; performing initial risk calculation according to the set, calculating a risk propagation coefficient based on the set and an adjacent set, and constructing a dynamic risk field in combination with an initial risk calculation result; and evaluating the dynamic risk field to obtain a comprehensive evaluation result, and generating a corresponding control instruction according to the result. According to the method, the real-time performance of road construction project supervision construction state monitoring, the accuracy of risk assessment and the refinement level of construction management and control can be improved through data structural processing, soil property partition accurate division, dynamic risk field construction and the like.

The invention discloses a stiff composite pile construction detection method based on a quantum technology and an electromagnetic geophysical prospecting method, which comprises the following steps of: constructing a peripheral cement soil pile and a core pile, and doping an electromagnetic sensitive material into a cement soil curing agent; a quantum gravity gradiometer and an electromagnetic induction instrument which are integrated on construction equipment are used for collecting gravitational field and electromagnetic field data of a construction area in real time in the whole process of cement soil stirring and core pile pressing-in; the density, the water content distribution and the uniformity of the cement soil are inversed and regulated in real time, and an unfavorable geologic body is identified; dynamically adjusting construction parameters based on cement soil properties and geological conditions obtained by inversion, and performing targeted reinforcement on a bearing stratum; the pile end stress bubble formation and the pile-soil interaction effect are verified; and based on the multi-source data acquired in the whole process, generating a digital quality file of the single pile for quality acceptance. The method can realize a construction process, namely a detection process, a single pile, namely a sensor, and a global data driving decision.

The invention discloses a mining area ecological soil erosion rate monitoring method, and relates to the technical field of soil monitoring. The method comprises the following steps: dividing a mining area monitoring area and arranging a monitoring network; collecting multi-source data based on the monitoring network; performing setting processing and compliance detection on the multi-source data to obtain preprocessed data; inputting the preprocessed data into a soil erosion rate prediction model to obtain a soil erosion rate prediction result; the soil erosion rate prediction model is constructed by adopting a random forest algorithm, terrain parameters, vegetation coverage and soil property parameters are used as input variables, and the soil erosion rate is used as an output variable; and setting an early warning threshold value, triggering early warning information when the soil erosion rate prediction result exceeds the early warning threshold value, and transmitting the early warning information to an equipment end of a supervisor. The mining area ecological soil erosion rate monitoring precision can be improved.

According to the multifunctional test method for simulating the erosion and erosion of the side slope, the wave making module is used for simulating waves with different energies, frequencies and amplitudes so as to test the requirements of different waves for simulating the erosion effect of the side slope; the influence of wave erosion on side slopes composed of different components is simulated by arranging a replaceable panel for simulating side slopes with different hardness or side slopes with different soil properties, the rebound energy of shore collision waves is reduced by arranging a wave dissipation module so as to avoid energy dissipation of simulated waves, and the wave dissipation module comprises an inverted triangular water retaining table provided with a soft water absorption piece. The buffer table is extremely small in gradient; various experiments such as scouring and erosion experiments at different angles, scouring and erosion experiments of waves with different energy and scouring and erosion experiments of slopes with different rock and mineral component structure types can be realized on one device, the device is simplified, energy is saved, and the experimental device has good application prospects in the aspects of environmental protection, geological disaster protection and the like. And the method has scientific research and engineering practical significance to a certain degree.

An implement monitoring / soil sensor control system for an agricultural implement may include one or more soil sensors configured to couple to a ground engaging tool of the agricultural implement. The one or more soil sensors may be configured to detect one or more soil properties. Additionally, the soil sensor control system includes a controller with a memory and a processor. The controller is configured to receive a signal indicative of a height of a main frame of the agricultural implement above a soil surface, determine a tool penetration depth of the ground engaging tool based on the height of the main frame, wherein the ground engaging tool is configured to couple to the main frame, and selectively activate the one or more soil sensors based on the tool penetration depth of the ground engaging tool.

The invention discloses a negative pressure screw anchor horizontal ultimate bearing capacity prediction method, and relates to the technical field of geotechnical engineering, and the method comprises the following steps: generating a construction resistance energy feature vector by using penetration time sequence data, inverting a soil body improvement factor through an energy-soil property mapping model, and correcting undisturbed soil parameters; and calculating and superposing the resistance of each subitem based on the correction parameter and the geometric parameter to obtain a predicted value. The method is used for solving the problem that an existing prediction method neglects the influence of construction disturbance on soil parameter remodeling, and consequently the bearing capacity prediction precision is insufficient.

The invention discloses a coastal saline-alkali soil infiltration calculation method based on a temperature tracing method. Acquiring data such as soil temperature data, soil water content data, water level data and soil property parameters of different soil layers; aiming at the target depth, establishing a heat transfer model considering the soil salinity, estimating initial heat parameters of the model and determining boundary conditions; discretizing the model domain by using a finite difference format, determining a total simulation period, dividing stress periods, and discretizing each stress period into a plurality of time nodes; predicting the temperature and the water content of the target depth, and establishing a loss function by minimizing the residual sum of squares of the measured value and the calculated value of the temperature; iteratively correcting the heat conductivity coefficient and the water flux in each stress period by adopting a self-adaptive optimization algorithm; the optimization parameter of the previous stress period is used as the initial condition of the subsequent period, and full-period recursive calculation is achieved; finally, the water flux of the target depth is obtained through convergence criteria and serves as quantitative characterization of the soil infiltration rate.

The utility model relates to the technical field of hydraulic engineering, in particular to a foundation detection device for hydraulic engineering, which comprises a bottom plate and a sampling device, the upper surface of the bottom plate is fixedly connected with an assembly frame, the upper surface of the assembly frame is fixedly connected with a servo motor, the driving end of the servo motor is fixedly connected with a pneumatic rod, and the lower surface of the pneumatic rod is fixedly connected with a ground drilling rod. The lower surface of the bottom plate is rotatably connected with a round wheel, the sampling device is arranged on the surface of the bottom plate, the sampling device comprises a cylinder, and the cylinder is fixedly connected with the bottom plate. According to the utility model, when the earth drilling rod drills underground and then resets, the soft hairs timely scrape off the adhered soil, so that the sample collection is more complete, and the soil leakage loss is reduced; the original stratum information of the sample is retained to the maximum extent, reliable materials are provided for accurate analysis of the soil property of the foundation of the water conservancy project, the collected sample can be quickly and properly stored, the sample is prevented from being interfered by the external environment, the sample state is kept stable, and the subsequent long-time and high-precision detection requirement is met.

The present application relates to the technical field of ecological restoration, in particular to a new ecological substrate for ecological restoration of river bank slope and its preparation method and application. The raw materials of the new ecological substrate include planting soil, basalt fiber, nano-silicon dioxide and cement. The preparation method comprises the following steps: taking the planting soil, crushing, air-drying and then passing through a 2mm sieve; mixing and stirring the sieved planting soil, basalt fiber, nano-silicon dioxide and cement to obtain a solid mixture, then adding water to the solid mixture until the water content is 18.5-19.5%, and stirring uniformly to obtain the new ecological substrate. The new ecological substrate can greatly improve the strength of the soil, improve the toughness of the soil and enhance the anti-cracking property of the soil body, reduce the dependence on cement, and reduce carbon emissions. On the other hand, the substrate has a certain gain effect on plant growth, which can significantly promote the adjustment of soil properties and hydrological environment, and also has a positive effect on carbon sequestration.

This invention provides a method and apparatus for collecting earthworm burrow wall soil. The method includes collecting raw soil, adjusting the particle composition of the raw soil to obtain culture soil. A mesh screen is laid in a culture pot, and the culture soil is placed inside the mesh screen. Earthworms are placed in the culture soil, and the culture pot is placed in an incubator. The environmental parameters in the incubator are adjusted to allow the earthworms to construct burrows within the culture soil. A preset time is checked; if so, the culture soil is removed, and the burrow wall soil is peeled off. The culture soil balances plasticity and permeability to meet the needs of earthworm growth and burrow building during long-term cultivation. By adjusting the temperature, humidity, and light intensity in the incubator, the earthworms can fully construct burrows while maintaining stable burrow wall soil properties. A hard, pointed spoon is used to precisely peel off the burrow wall soil, ensuring that the burrow wall soil sample is free from cross-contamination and structurally intact.

The invention belongs to the technical field of chemical engineering manufacturing industry, and particularly relates to a preparation and application method of a novel compound fertilizer suitable for sandy soil remediation. The preparation method of the compound fertilizer comprises the following steps: 1) pretreating slaughtered waste pigskin, then adding a protease hydrolysis solution for treatment and suction filtration, and freezing and drying the obtained filtrate to obtain pigskin protein powder for later use; 2) calcining attapulgite, cooling to room temperature, adding a solution of coconut shell carbon, woody peat and pigskin protein powder, and grinding to obtain composite particles; (3) putting the composite particles into an aqueous solution containing inorganic nutrient elements, stirring, then heating, adding a microbial complex microbial inoculant, and uniformly stirring to obtain a mixed solution; and (4) adding a polyglutamic acid solution into the mixed solution, uniformly stirring, adjusting the pH value to be neutral, and drying at low temperature to obtain the compound fertilizer. The invention researches and develops a compound fertilizer formula capable of improving the soil performance and promoting the growth of plants in desertification soil at the same time.