317 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.

The invention relates to the technical field of soil detection, and discloses a soil property quantitative analysis method of a spectrum-driven and greedy optimization integrated model, which comprises the following steps: preprocessing data; defining a basic model; selecting a greedy optimization model; integrating learning models; evaluating model performance; according to the method, the optimal model combination is selected through the greedy optimization method, the advantages of multiple models are integrated, and the accuracy of soil property prediction is improved. The greedy algorithm is simple and efficient, model selection and integration can be completed in a short time, and the method is suitable for processing of large-scale data sets. The method does not depend on a specific model or data set, and can be expanded and applied to prediction tasks in other fields.

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 invention is suitable for the technical field of rock grouting reinforcement, and relates to a visual crossed fracture flowing water grouting test device and method. A transparent soil material with soil force properties and hydraulic properties similar to those of natural soil such as an internal friction angle, a deformation characteristic and a flow boundary effect is adopted; the water flow and slurry flowing state in an actual stratum can be truly simulated, and the accuracy of a test result is remarkably improved; by means of the layered water injection design of the soil filling box, comprehensive observation of the grouting behavior rule of cross fractures in stratums in different water saturation states is achieved, and the influence of complex hydrological conditions on the grouting effect is effectively reproduced; and a tracer agent with observation advantages is introduced in the grouting process, so that the visual observation capability on the slurry diffusion path, the slurry diffusion range and the flow velocity change is greatly enhanced. According to the method, the diffusion path, the expansion range and the grouting effect of the grout in a deep crack and a large model can be visually observed, the grouting effect is greatly improved, and a scientific basis is provided for optimizing the grouting process and predicting the grouting effect.

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 roadbed disease repairing method considering grouting pressure, grouting materials, soil texture types and disease types. The roadbed disease repairing method comprises the steps that it is judged that the roadbed soil texture type is clay sand or low-liquid-limit clay; judging whether the disease repair type is pure void repair or loose repair; and the grouting material and the grouting pressure are selected according to the influence rule of the grouting material and the grouting pressure on different disease repair effects of different roadbed soil properties. According to the method, the repairing effect is improved, meanwhile, the cost is reduced, and the defects caused by purely pursuing the optimal performance of a grouting material and the maximum grouting pressure in the prior art 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 discloses a method for safely irrigating saline water with different mineralization degrees and reducing salt in a plough layer, and relates to the technical field of agricultural irrigation, and the method is characterized by comprising the following steps: monitoring the mineralization degree of irrigation water and soil moisture and salt dynamic states under various irrigation mode conditions; through a soil column simulation test, a saline water mineralization degree threshold value suitable for irrigation of saline-alkali cultivated lands with different soil properties and salt contents is found; performing a plot test in the field, and establishing an irrigation water-soil water-underground water salt migration model under various irrigation modes; hYDRUS-1D software is adopted for dynamic simulation and prediction of soil hydrothermal salt coupling migration under different saline water irrigation conditions. The method can be suitable for different soil texture types, crop types and underground water conditions, the salt content of the saline-alkali cultivated land can be effectively reduced, on the premise that crop growth is guaranteed, salt water resources are utilized to the maximum extent, irrigation cost is reduced, sustainable utilization of the saline-alkali cultivated land is achieved, and the method has important practical application value.

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 line tower screw anchor foundation structure design optimization method, and relates to the technical field of structure design optimization, and the method comprises the following steps: determining the depth of construction soil according to the scale of a line tower, and collecting screw anchor influence data of different depths of the construction soil, the screw anchor influence data comprises screw anchor corrosion influence data and soil acting force influence data; constructing a screw anchor influence model based on machine learning according to the screw anchor influence data, and generating a screw anchor structure influence coefficient; obtaining screw anchor structure influence coefficients of different depth areas, judging substandard depth areas on the basis of preset screw anchor stress coefficients, and performing structure optimization on the screw anchors in the depth areas; whether the optimization effect reaches the standard or not is judged based on the screw anchor stress coefficient by obtaining the optimized screw anchor structure influence coefficient. Through structural optimization design, the problem that the spiral anchor is unstable due to soil properties and geological environments of different regions is solved.

The invention provides a soil mineral heavy metal distribution coefficient prediction method and device and a storage medium, and the prediction method comprises the steps: firstly collecting soil sample information including soil information, soil basic physicochemical properties, soil mineral content and heavy metal adsorption data, and taking the soil sample information as a heavy metal distribution coefficient modeling database; preprocessing the heavy metal distribution coefficient modeling database to obtain a heavy metal distribution coefficient preprocessing sample data set, dividing the heavy metal distribution coefficient preprocessing sample data set into a test set and a training set, and establishing a soil heavy metal distribution coefficient prediction model based on a random forest algorithm; carrying out model evaluation, mineral characteristic effectiveness evaluation and characteristic importance evaluation on the soil heavy metal distribution coefficient prediction model; inputting the sample data of the unknown soil heavy metal distribution coefficient into the trained soil heavy metal distribution coefficient prediction model for prediction to obtain the distribution coefficient of the unknown soil heavy metal; according to the invention, the heavy metal distribution coefficient data of different soil properties can be rapidly obtained.

A system for assessing soil properties comprises a test tool including an elongated housing including a first end and a second end opposite the first end and a sensing section. The sensing section includes a cone penetrometer test (CPT) tool protruding from the first end of the housing; a first seismic sensor housed in the housing and that senses seismic waves, one or more circuits housed in the housing and that process output of the first seismic sensor, memory housed in the housing and coupled to the one or more circuits and that stores data sensed by the sensing section, and a power source housed in the housing and that provides power for the sensing section.

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 discloses a fertilization method for improving cotton yield and phosphorus utilization efficiency, which comprises the following steps: a, formulating a personalized phosphate fertilizer application scheme according to soil properties, climate conditions and an expected yield target of a cotton planting area; b, timely adding a proper amount of water-soluble phosphate fertilizer according to the actual growth condition of the plant and a leaf nutrition diagnosis result; c, supplementing the phosphorus element by adopting a foliar spraying mode aiming at the possible phosphorus deficiency symptom; and d, adding a biological stimulant and a substance for promoting phosphorus absorption in the fertilization process. According to the fertilization method disclosed by the invention, through combination of precise fertilization, staged fertilization, biological stimulant application, dynamic monitoring and adjustment and a water-saving irrigation technology, the yield of cotton and the utilization efficiency of a phosphate fertilizer are effectively improved, the production cost is reduced, the ecological environment is protected, and the fertilization method has a wide application prospect.

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 provides a method for analyzing the vibratory pile sinking drivability of a hydraulic vibratory hammer. The method comprises the steps that the initial amplitude of the hydraulic vibratory hammer and the mass of the vibratory hammer without a clamp are obtained on the basis of working parameters of the hydraulic vibratory hammer; the total mass of a clamp needing to be clamped by the hydraulic vibration hammer is obtained; according to the characteristics of the land where the hydraulic vibration hammer works, the dynamic friction resistance and the dynamic end resistance of the hydraulic vibration hammer during working are obtained; the final amplitude of the hydraulic vibration hammer at the vibration pile sinking limit is calculated through the obtained data, and on the basis of the method for calculating the final amplitude of the hydraulic vibration hammer, when the final amplitude of the hydraulic vibration hammer is calculated, the dynamic friction resistance and the dynamic end resistance during vibration pile sinking of the hydraulic vibration hammer are introduced, so that the final amplitude of the hydraulic vibration hammer is calculated. The resistance encountered by the hydraulic vibration hammer during working and the characteristics of different soil properties are considered, the relevance with the measured data of the sensor is relatively high, and compared with the amplitude obtained by calculation in the prior art, the amplitude obtained by calculation is more accurate and real.

The invention discloses a viscous shield muck base synchronous grouting utilization method and system, a terminal and a medium. The method comprises the steps that the soil type soil property of a stratum corresponding to shield muck is obtained; when it is judged that the shield muck does not meet the soil filling standard according to the soil properties, mineral components of the shield muck are determined; obtaining a synchronous grouting performance requirement, and determining a target geopolymer according to the synchronous grouting performance requirement; obtaining a grouting material ratio according to the mineral components and the target geopolymer; and after the grouting material is obtained according to the grouting material ratio, the grouting material is injected into a gap between a tunnel and a stratum through a grouting system at the tail of a shield tunneling machine, and monitoring information of ground surface settlement and duct piece floating is obtained in the synchronous grouting and shield tunneling process. The waste muck generated in shield tunnel construction can be effectively treated, the resource utilization rate of the shield muck is increased, and the treatment cost and the influence on the environment are reduced.

The invention relates to a riverside zone range defining method and system, and relates to the technical field of hydrogeology, and the method comprises the following steps: obtaining the landform characteristics, hydrogeologic structure, river channel form, soil property, vegetation distribution characteristics and other index data in a drainage basin; monitoring water level dynamic change data of the river and the riverside groundwater, analyzing a conversion relation between the river and the groundwater, and dividing different river-groundwater conversion modes. A two-dimensional profile river-underground water conversion kinetic model perpendicular to the river channel is established, and the conversion flux of the river and the underground water at the river bank and the moisture contribution amount extending to the two sides of the river bank by different distances are calculated. And determining an effective influence space range of river-underground water conversion based on the water contribution amount of a set threshold value. On the basis of the influence space range of river-underground water conversion, various index data obtained in the first step are superposed, and the river basin riverside zone range is defined.

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 invention relates to the technical field of ecological restoration, in particular to a novel ecological base material for ecological restoration of a river bank side slope and a preparation method and application of the novel ecological base material. The novel ecological base material is prepared from the following raw materials: planting soil, basalt fibers, nano silicon dioxide and cement. The preparation method comprises the following steps: taking the planting soil, crushing, air-drying, and sieving with a 2mm screen; and uniformly mixing and stirring the sieved planting soil, basalt fibers, nano silicon dioxide and cement to obtain a solid mixture, adding water into the solid mixture until the water content is 18.5-19.5%, and uniformly stirring to obtain the novel ecological base material. According to the novel ecological base material, the strength of soil can be greatly improved, the toughness of the soil is improved, the cracking resistance of a soil body is enhanced, dependence on cement is reduced, and carbon emission can be reduced; and on the other hand, the base material has a certain gain effect on plant growth, further has a remarkable promotion effect on adjustment of soil properties and hydrological environment, and also has a positive effect on carbon sequestration.