2583results about "In situ soil foundation" patented technology

The invention discloses a soft soil foundation deformation prediction method and system based on big data, and relates to the technical field of rock and soil monitoring. InSAR satellite data, Beidou GNSS displacement data, optical fiber strain data and meteorological and geological parameters are integrated through a multi-source sensing network. ERA5 reanalysis data is adopted to establish an atmospheric delay compensation function, and dynamic sliding window filtering and strain gradient constraint are combined to realize data space-time alignment and anomaly cleaning. Based on a generalized Kelvin creep constitutive model, environment coupling functions of temperature, humidity and pore water pressure are fused to dynamically correct model parameters, and the creep response characterization capability in a complex environment is enhanced. And performing distributed joint training on the regionalized geological data through a federated learning framework, fusing differential privacy encryption and a node credibility verification mechanism, realizing safety aggregation and migration optimization of cross-regional data, and generating a geological partition adaptive deformation prediction result. The method effectively improves the reliability of soft soil foundation deformation prediction.

The invention discloses a cooperative monitoring device and method for a large deep foundation pit complex supporting system, and relates to the technical field of foundation pit supporting. The device comprises a multi-dimensional sensor network module, a BIM-GIS digital twin platform module, an intelligent analysis and early warning module, a construction collaborative decision module, a data backup and recovery module and a remote monitoring and management module. The method comprises the following steps: step 1, carrying out multi-source data space-time registration; step 2, dynamically constructing a digital twinborn model; step 3, coupling risk assessment; step 4, construction collaborative optimization; according to the technical scheme, the method comprises the following steps of data processing, data quality control and system performance evaluation, through three innovations of deep coupling of multi-source data, dynamic model correction and intelligent collaborative decision making, a'monitoring-analysis-decision-execution 'full closed loop is constructed, technical breakthroughs are achieved in complex working condition adaptability, early warning real-time performance and construction safety, and the method has remarkable engineering application value.

The invention relates to the technical field of reservoir bedrock anti-seepage grouting, and discloses a reservoir bedrock anti-seepage grouting method which comprises the following steps: acquiring fracture data through geological exploration, and constructing a reservoir bedrock fracture distribution model; simulating a flow path and permeability characteristics of the slurry in the fracture based on the fracture model; the grouting pressure and flow are determined through an optimization algorithm, and a grouting scheme is formulated; screening grouting materials according to fracture characteristics, and analyzing stress-strain and permeability of the grouting materials; a construction process is formulated, the grouting state is monitored in real time, and parameters are dynamically adjusted; and after grouting, carrying out permeation and pressure test to evaluate whether the curing effect reaches the standard or not. Based on the three-dimensional fracture structure modeling and flow field simulation technology, high-precision recognition and dynamic evolution tracking of the fracture permeation path in the complex rock mass of the reservoir bank are achieved, so that grouting hole layout is more accurate, the slurry flow direction is more controllable, and the method is different from a point-selecting grouting mode of a traditional empirical method.

The invention discloses a karst cave pile foundation grouting real-time control system based on optical fiber sensing and AI dynamic optimization, which relates to the field of pile foundation grouting real-time control and comprises a data acquisition module, an intelligent analysis module, a dynamic optimization module and a feedback control module. Normalized optical fiber input vectors and geological input vectors are obtained by analyzing karst cave optical fiber sensing data and geological parameter data, fusion is performed through a double-branch convolutional network, a grouting diffusion prediction model is constructed through a convolutional neural network, the slurry diffusion radius and the filling saturation are output, the model is constructed based on an isolated forest algorithm, and the grouting diffusion prediction model is constructed. The method comprises the following steps: calculating abnormal score early warning, establishing a mapping model, and dynamically adjusting the weight to obtain a Pareto optimal solution set adjusted in each construction stage, and a closed-loop control module can perform timely early warning adjustment on an accident according to the Pareto optimal solution set adjusted by real-time progress and rescreening parameters, can sense data in real time to form closed-loop feedback, and meets the requirements of engineering economy.

The invention discloses a whole-span bridge hoisting construction method. The method comprises the steps that prefabricated bridge components are transported to a construction site; in the construction preparation stage, a foundation monitoring mechanical model of a construction site is built, and the optimal position and operation parameters of a crane are determined; before hoisting, a laser emitting device is installed on a bridge component, a laser receiving device is installed at the front end of a crane suspension arm, and a plurality of laser reflection targets are arranged on the periphery of a preset installation position of a pier; in the lifting and translation processes, the laser positioning system monitors the spatial position and attitude information of the bridge component and the suspension arm in real time, and transmits the data to the control center in real time; and the control center compares the actual position deviation with the target position deviation in real time according to the preset hoisting path and the in-position precision requirement, and when the deviation exceeds the threshold value range, a control instruction is sent to a power system and a hydraulic control system of the crane. According to the method, the position and posture of the bridge component can be accurately monitored in real time, the action of the crane is timely and accurately regulated and controlled according to the deviation, and the construction precision and safety are improved.

The invention relates to the technical field of earthwork compaction, and discloses a pipe ditch backfilling and tamping system based on excavator modification. The system comprises an earthwork condition dynamic sensing module which captures a bucket tooth track, a hydraulic oil cylinder pressure pulse and a soil mass vibration spectrum in real time and combines a historical database to construct a model to output a theoretical compaction degree curve; a multi-source compaction difference analysis module performs three-dimensional deviation detection on the theoretical curve and the actual settlement volume data to generate a construction grid-level compaction difference tensor; the defect area association mapping module inputs the tensor into a geological topology analysis network, generates a loose defect propagation path probability cloud chart by combining soil parameters and identifies weak sections; and the tamping strategy self-adaptive configuration module automatically sets operation parameters according to the cloud picture, activates high-precision monitoring on a high-probability defect section, and applies a dynamic excitation force test on adjacent grids, so that intelligent management and control of the backfilling and compacting process are realized.

The invention discloses a scouring pile foundation reinforcement method based on an MICP curing technology, which comprises the following steps: acquiring initial environment information such as scouring pit parameters, water flow parameters, tide period and seawater salinity of a delimited area around a pile, and determining grouting parameters such as a grouting window period and a safe flow velocity threshold value and a matching numerical value of a bacterial liquid concentration, a urea concentration and a calcium ion concentration; a grouting assembly composed of a first grouting pipe and a second grouting pipe which are spliced up and down is arranged, and grouting holes are formed in the side wall of the second grouting pipe which is pre-buried in a soil layer; after MICP slurry is prepared according to blending parameters, the slurry is injected into a soil layer in combination with grouting parameters, and meanwhile, the grouting process is dynamically adjusted by monitoring the resistivity of a soil body in real time; and after grouting is completed, the assembly is dismantled, and supplementary grouting is conducted on the local area according to the detection result. According to the method, the accuracy and reliability of pile foundation reinforcement are achieved through environmental parameter adaptation, grout dynamic regulation and control and layered detection and reinjection.

The present invention discloses an analysis method for detecting the bearing capacity of a single PHC pile and multiple piles in a soft soil foundation, which relates to the technical field of bearing capacity analysis and includes the following steps: S1, numerical model construction and initial setting; S2, single pile bearing capacity analysis; S3, multiple pile bearing capacity analysis; S4, force and load sharing analysis; S5, parameter sensitivity analysis; S6, field test and verification. The main advantage of the present invention is that the bearing capacity characteristics of a single PHC pile and multiple piles in a soft soil foundation are comprehensively and systematically analyzed by combining numerical simulation with field tests, and multiple factors such as pile-soil interaction, loading history, and time effect are considered. The numerical simulation method used has the advantages of low cost, short cycle, and strong repeatability compared to field tests, which greatly reduces research costs and improves research efficiency, and also analyzes parameter sensitivity.

The invention belongs to the technical field of construction control, and particularly discloses a dry-method precise positioning construction control system and method based on machine learning. Multi-dimensional data such as drilling resistance, vibration frequency, shovel head angle deviation, position and soil layer hardness are acquired in real time through a multi-source data acquisition module; the deviation calculation module carries out dynamic comparison analysis based on data corresponding to a preset sampling area, the dynamic adjustment module dynamically optimizes the drilling speed and angle through a multi-condition triggering mechanism and a transfer adjustment rule, and finally the control execution module generates a precise control instruction to drive the Luoyang shovel to execute deviation correction action. Through multi-dimensional data fusion analysis and a real-time dynamic adjustment strategy, the path precision and the stratum adaptability of the drilling operation are remarkably improved, meanwhile, the adaptability of equipment to stratum sudden change is improved, the construction risk under the complex geological condition is reduced, and collaborative optimization of the drilling efficiency and the operation safety is achieved.

The invention relates to a foundation pit steel support axial force servo regulation and control method based on digital twinning, and the method comprises the following steps: S1, constructing a foundation pit deformation prediction agent model with key soil parameters and servo steel support axial force as input through a foundation pit engineering simulation module; s2, an internet-of-things monitoring module is used for collecting foundation pit deformation data and servo steel support axial force data through an internet-of-things monitoring system; s3, a soil mass parameter updating module which takes the foundation pit deformation prediction agent model in the S1 as a forward calculation model in probability back analysis, and updates a posterior sample of soil mass parameters through a data assimilation technology in combination with the Bayesian theorem; and S4, a deformation prediction and axial force regulation and control module is used for predicting the deformation of the foundation pit in the next stage and providing an axial force servo regulation and control scheme. The method is based on a digital twinning technology, a deep learning algorithm and a data assimilation technology, the influence of an axial force set value in a servo system on foundation pit deformation is analyzed, and a scientific and reasonable foundation pit steel support axial force servo regulation and control scheme is provided.

The invention provides a cooperative early warning method, system, equipment and medium for deformation stress of soft soil around a pile, and relates to the technical field of underground engineering, and the method comprises the steps that monitoring data of the soft soil around the pile are obtained based on monitoring points, and the monitoring points comprise pile body monitoring points and soil body monitoring points; feature extraction is conducted on the monitoring data, and monitoring indexes reflecting pile periphery soft soil deformation and stress evolution are obtained based on information contribution degree difference and sensitivity selection; performing model construction based on the monitoring data and the monitoring indexes, and obtaining a deformation-stress collaborative map of the soft soil around the pile by considering risk assessment and spatial heterogeneity; and on the basis of the deformation-stress collaborative atlas, abnormal recognition of the soft soil around the pile is carried out, an abnormal area is obtained through embedded learning and clustering analysis, graded early warning is carried out according to the abnormal area, and an early warning result of the soft soil around the pile is obtained. The problem that an existing early warning method for the soft soil around the pile lacks dynamic sensing and combined early warning in the pile-soil interaction process is solved.

The invention discloses a complex geological foundation pit construction method and system based on intelligent monitoring and self-adaptive supporting, and the method comprises the steps: carrying out the investigation of a construction region, and obtaining the investigation data; constructing a three-dimensional geologic model based on the survey data; designing a supporting structure based on the three-dimensional geologic model; based on the designed supporting structure, construction is conducted, and the construction process is monitored in real time; and dynamically adjusting an excavation sequence and a supporting scheme in combination with the three-dimensional geologic model and monitoring data to finish construction. The method has remarkable innovativeness and practicability in the field of foundation pit construction under the complex geological condition, the construction risk can be effectively reduced, the construction period is shortened, the construction quality is improved, and the method has wide application prospects and remarkable economic benefits.

The invention relates to a roadbed compaction quality detection method and system based on multi-dimensional data, and the method comprises the steps: obtaining sensor data of a roller of a road roller in real time, and obtaining pavement images and positioning data of a plurality of continuous time points; when the road surface is flattened, the roadbed structure is gradually stable, so that the corresponding pressure data and vibration data are gradually stable. By analyzing the stability of the pressure data and the vibration data, the stability of the pressure data and the vibration data is determined. According to the method, vibration data, stable data and temperature data of a road section at a stable time point are extracted, and then a target data reference range corresponding to a corresponding temperature grade and a roadbed material is found from a pre-constructed data model, so that the target data reference range can verify the vibration data and the stable data at the stable time point; therefore, whether the road roller performs the road rolling operation in a reasonable range or not is judged. In addition, the road surface is detected by using the road surface image.

The invention relates to a micro-settlement control method for an extra-large-span flat-top straight-wall tunnel under the dynamic load action of an aircraft, and relates to the technical field of tunnel construction. The control method comprises the following steps: S10, uniformly spreading the weight of the airplane to each airplane wheel, and calculating to obtain a static load P1 of the airplane; s20, vertical kinetic energy of the aircraft is converted into impact force, dynamic additional force F is obtained and evenly spread to each aircraft wheel, and the dynamic load P2 of the aircraft is obtained through calculation; s30, adding the static load P1 and the dynamic load P2 to obtain an aircraft landing impact load P3; s40, the distance r from the load acting point to the calculation point and the burial depth h of the tunnel are obtained, and settlement S of the tunnel vault is calculated through the aircraft landing impact load; s50, through Moire-Coulomb model simulation analysis, the influence of the aircraft dynamic load on tunnel construction settlement is obtained; and S60, making a corresponding construction scheme according to the influence of the airplane dynamic load on tunnel construction settlement. The construction problem of undercrossing the airport runway by the tunnel can be solved, and settlement of the airport runway is controlled.

The invention relates to the technical field of soil sampling, and discloses a constructional engineering soil sampling device which comprises a drilling rod and a drilling barrel, the drilling barrel is installed at the bottom of the drilling rod, and the drilling rod drives the drilling barrel to drill downwards; a sampling push rod and a sampling barrel are mounted in the drilling barrel, and when the drilling rod drives the drilling barrel to drill to a preset depth, the sampling push rod continues to drive the sampling barrel to sample downwards; a plurality of groups of openable and closable separators are arranged on the sampling barrel at equal intervals. After a preset depth is drilled through the drilling rod and the drilling barrel, downward sampling is continued through the sampling barrel, so that an underground soil sample at a specific depth can be obtained; the movable push plate and the pressure sensor are arranged in the sampling barrel, the pressure threshold value is preset, when the top of the sampling barrel is filled with a soil sample, the soil sample plate in the sampling barrel is stored in a layered mode through the partition piece, soil compression caused by continuous downward drilling is avoided, and the original structure and layer of soil are guaranteed.

The invention relates to the technical field of geographic information measurement, in particular to an engineering surveying and mapping system, which comprises a foundation settlement offset analysis module, which is used for carrying out data division according to a subarea range of a foundation based on three-dimensional point cloud data acquired in engineering foundation monitoring, analyzing offset distribution of foundation settlement, and calculating the offset distribution of the foundation settlement by matching junction points of adjacent subareas; the settlement relation is analyzed, and foundation partition deviation distribution characteristics are generated. According to the method, the subarea processing is carried out on the foundation, the coordinate distribution, the density, the settlement difference value and other multi-dimensional information among the points are extracted based on the three-dimensional point cloud data, and the settlement characteristics of the interior of the subarea and the adjacent area can be revealed more meticulously. The settlement deviation value distribution is comprehensively analyzed, the settlement direction and the accumulated deviation change are accurately positioned, and a quantitative basis is provided for the overall stability evaluation of the foundation. And performing normalization processing and weight distribution adjustment, performing optimization correction on an error concentration area, and realizing dynamic smooth compensation of inter-partition errors.

The invention discloses a construction method for controlling perpendicularity and deviation of a steel latticed column inserted in a cast-in-place pile, and relates to the field of engineering construction. Secondly, cast-in-place pile hole forming and reinforcement cage construction are conducted; 3, inserting construction of the profile steel latticed columns is conducted; fourthly, concrete pouring is conducted; and step 5, quality monitoring and deviation processing. A three-level measurement system is constructed, and the pile position deviation is smaller than or equal to 3 mm; the straightness of the standard jig frame prefabricated latticed column is smaller than or equal to L / 1000 and smaller than or equal to 10 mm, and the perpendicularity of formed holes is controlled to be smaller than or equal to 1% through a rotary drilling rig; a three-dimensional guiding system and dynamic monitoring are utilized, the insertion deviation plane is smaller than or equal to 20 mm (the insertion deviation plane is smaller than or equal to 10 mm in a reverse construction method), and the perpendicularity is smaller than or equal to L A guide pipe method is adopted for concrete pouring, and a composite anti-floating measure is combined to prevent deviation; quantitative monitoring and staged processing are carried out in the whole process, fine control of the whole process is achieved, and precision and safety are improved.

The invention discloses a mucky soil foundation intelligent monitoring method based on multi-source data fusion, and particularly relates to the technical field of foundation monitoring and early warning. The method comprises the following steps: constructing an original soil body state data set of a mucky soil foundation, and carrying out anomaly elimination and time calibration based on a rheological constitutive model to generate a foundation state characteristic matrix; performing dynamic causal association tracking analysis on the feature matrix in a sliding window mode to generate a water-soil coupling drift parameter set; extracting a stress historical dependency coefficient set by using a nonlinear scale analysis method; and according to the water-soil coupling drift parameter set and the stress historical dependency coefficient set, the stability risk level of the mucky soil foundation is judged, and corresponding early warning information is selected from a preset graded early warning instruction database and output, so that the accuracy and adaptability of anomaly recognition and risk early warning are improved, and the accuracy and the adaptability of abnormal recognition and risk early warning are improved. The method is suitable for long-period stability monitoring and intelligent risk prevention and control of high-soft foundations or silt stratums.

The invention relates to a rock slope support model construction scheme generation method and device, equipment and a medium. According to the method, a three-dimensional geological model fusing geological information and rock mass parameters is constructed, an initial damage field is obtained in combination with micro-seismic monitoring data and statistical learning inversion, and then a constitutive model capable of reflecting the damage and plastic coupling evolution law is established and calibrated; the model is used for dynamically predicting a spatio-temporal evolution path of a potential slip plane in the excavation process, the supporting opportunity and position are accurately judged based on the stress and damage state in the path, a spatio-temporal sequence scheme is generated, and finally optimal supporting parameters are solved through the multi-objective optimization model. And finally, a set of dynamic support construction scheme capable of actively controlling damage development and giving consideration to safety and economical efficiency is integrated and output, technical spanning from passive reinforcement to active intervention and from static design to dynamic optimization is achieved, and the accuracy and reliability of slope support are effectively improved.

The invention discloses a foundation bearing capacity detection device, and belongs to the technical field of constructional engineering, the foundation bearing capacity detection device comprises a base, a hammering assembly used for hammering, a detection assembly used for detecting foundation bearing and an electronic counter, the top of the base is fixedly connected with a vertical plate, and the top of the top plate is provided with a driving assembly; the hammering assembly is arranged on the vertical plate, the detection assembly is arranged on the vertical plate, and a connecting assembly is arranged between the hammering assembly and the detection assembly; through the action of the driving assembly, ascending or descending of the hammering assembly is controlled, through cooperative use of the hammering assembly and the detection assembly, the bearing capacity of a foundation is detected, impact force is converted into an electric signal, and the corresponding hammering frequency is recorded through the action of the electronic counter; therefore, the possible problems of missing recording, wrong recording and the like are avoided, the recording accuracy and reliability of the number of hammering times are improved, and a powerful guarantee is provided for accurate detection of the bearing capacity of the foundation.

The utility model discloses a highway base layer compactness detection sampling device, which relates to the field of road construction and comprises a drill cylinder, a first cavity and a second cavity are arranged in the cylinder wall of the drill cylinder, a sleeve is sleeved on the top of the drill cylinder in a sliding manner, the cylinder wall of the sleeve is positioned in the first cavity, and a plurality of elastic steel sheets which are circumferentially distributed at equal intervals are fixedly connected to the bottom of the sleeve. The elastic steel sheet extends into the second cavity, a push-pull mechanism used for driving the sleeve to move relative to the drilling barrel is arranged on the bearing plate, and a squeezing and pushing mechanism used for pushing out a sample in the drilling barrel is installed on the push-pull mechanism. After the drilling barrel completes soil drilling and sampling, the push-pull mechanism drives the sleeve to move downwards, the sleeve drives the elastic steel sheets to move downwards, and the elastic steel sheets are extruded and bent and then seal the bottom end of the drilling barrel, so that a sample is prevented from falling off in the upward moving process of the drilling barrel, and the integrity of the sample is ensured; the sample in the drill cylinder is pushed out through the extruding and pushing mechanism, the drill cylinder does not need to be opened manually, operation is more convenient, and the possibility that the sample is broken is reduced.

The invention provides a photovoltaic power generation and air water taking irrigation system, comprising: a photovoltaic power generation module for generating electric energy by using light energy; the gel adsorption module is connected with the photovoltaic power generation module and is used for adsorbing water vapor in air by using gel and driving the gel to desorb and release the water vapor by using waste heat generated by the photovoltaic power generation module; the condensation water collection module is connected with the gel adsorption module and is used for condensing the water vapor to obtain condensed water; the crop irrigation module is connected with the condensation water collection module and is used for irrigating crops by utilizing the collected condensate water; the soil detection module is connected with the crop irrigation module and used for controlling irrigation according to the detected crop root system soil humidity, collaborative production of water, electricity and crops can be achieved under the condition that no external input exists in the island reef environment, and the problems that in the island reef environment, fresh water is in shortage, electricity is insufficient, and self-sufficiency of agricultural production is difficult are solved.

The invention relates to the field of new-generation information technology and civil engineering, in particular to a frost heaving prevention technology of a roadbed in a seasonal frozen area, and particularly relates to a solar heating frost heaving prevention drainage roadbed in the seasonal frozen area and a construction method of the solar heating frost heaving prevention drainage roadbed. The method comprises the steps that environment sunlight data are obtained based on a solar heat collection device, heat energy is stored through an efficient heat storage material, and a heat energy output sequence is generated; acquiring soil temperature, humidity and frost heaving stress data from an environment sensor, predicting a frost heaving trend in combination with historical frost heaving characteristics, and generating regulation and control parameters; the heat energy output sequence and the frost heaving regulation and control parameters are input into a dynamic temperature control and drainage linkage module, heat distribution and optimization adjustment of a drainage path are carried out, and a linkage control strategy is generated; and performing feedback analysis on the operation condition of each module based on the data, and optimizing the control parameters of the dynamic temperature control and drainage linkage module. The temperature and humidity of the roadbed can be accurately adjusted, the frost heaving phenomenon is prevented, and roadbed drainage is optimized.

The invention belongs to the field of rock-soil drilling equipment, and discloses a highway construction rock drilling sampling device which comprises a rack, a sampling device and a sampling device, the drill rod assembly is arranged on the rack and comprises an inner shaft rod and an outer sleeve rod, and the inner shaft rod is rotationally sleeved with the outer sleeve rod; the first driving mechanism at least drives the outer sleeve rod to rotate; and the drill bit assembly is connected with the drill rod assembly. Through the drill rod assembly and the drill bit assembly, a sampling component and a drilling component of the drill bit assembly are matched with a limiting tooth part through a movable ratchet assembly, state switching of the sampling component and the drilling component can be achieved, and when the drilling component is reversely screwed out after drilling, a movable tightening piece can be driven to move by rotating relative to the sampling component; and the movable tightening part of the sampling component can tighten and clamp the sample, so that the friction force in the sampling process can be increased, the sample is not easy to fall off, the structure is simpler, and the operation is easy.

The invention provides a working face limited narrow fertile groove flow state solidified soil backfill construction method, and belongs to the technical field of flow state solidified soil application construction.The method comprises the steps that a backfill area is divided into partition blocks not exceeding 10 m and backfill sections with the thickness being 1 m, then an optimal backfill path is designed, and a cross path network is established to guarantee the filling uniformity; a multi-branch pumping system is adopted to convey the flow-state solidified soil, and flow velocity and pressure parameters are calculated by applying a hydrodynamic equation set. Construction is carried out according to the alternate sequence of 1-3-5-7 and 2-4-6-8 through a jump type pouring method, and the slump of the mixture is intelligently monitored and controlled to be 180-240 mm. Through penetration type electronic compactness detection, the unconfined compressive strength within 28 days is finally 0.8-1.5 MPa, the accumulative settling volume is controlled within 10 mm, high-quality control over backfilling of the narrow fertilizer groove space is achieved, and the technical problem that uniform backfilling construction of the flow-state solidified soil is difficult to control under the condition that the narrow fertilizer groove space is limited is solved.

The invention relates to a roadbed compaction monitoring system which comprises a data processing module and a visualization module. The data processing module is used for receiving real-time coordinate data of the road roller and instantaneous vibration signals of a vibration wheel; extracting the frequency domain characteristics of the instantaneous vibration signals by using FFT (Fast Fourier Transform); a rolling track coordinate sequence is generated through the RTK resolving technology; constructing spatio-temporal features based on the coordinate sequence and the frequency domain features; constructing an LSTM neural network model by using the spatial-temporal characteristics and calculating the compactness; and meanwhile, sensitive characteristics of the compaction degree are analyzed and screened by using a grey relational degree, and a compaction degree report is generated. The visualization module is used for generating a compaction track thermodynamic diagram according to the compaction degree report; a color difference-based compactness gradient map is generated by using a color gradation coding technology; and generating a three-dimensional visual compaction map by using a three-dimensional modeling and data matching technology. On the basis, the roadbed compaction monitoring system can realize accurate monitoring and visual display of the roadbed compaction condition.

The invention discloses a ground subsidence monitoring system under the condition of ultra-large water level drawdown, and relates to the technical field of foundation pit dewatering, a seepage field change analysis module arranged on the system can analyze the movement process of underground water in a soil body of a foundation pit wall according to water body state data monitored in real time and in combination with the saturation state and permeability of the soil body, and the seepage field change analysis module can analyze the movement process of underground water in the soil body of the foundation pit wall through the module. The system can automatically perform hierarchical division on the soil body in the foundation pit wall, obtain the spatial and temporal distribution of the water head of each soil layer in the precipitation process, make the subsequent stress analysis and settlement evaluation more accurate, and accurately calculate the effective stress change of the soil body in the precipitation process based on the spatial and temporal distribution of the water head of each soil layer. And the additional stress influence of the settlement of the upper layer soil layer on the lower layer soil layer is analyzed, so that the settlement volume of each layer of soil body is obtained, and the stress and settlement monitoring based on stratified analysis enables the system to carry out detailed evaluation on differential settlement and interlayer stress change, so that the risk of structural instability caused by settlement difference is effectively prevented.

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 provides a method and a system for detecting construction flatness and compactness, which are applied to the field of measurement data processing. The compaction degree in the construction process is detected in real time on the basis of the preset electromagnetic induction sensor of the road roller, the problem that construction parameters cannot be adjusted in time by relying on sampling inspection after construction is completed in a traditional method is solved, electromagnetic parameters (such as electrical conductivity, dielectric constant and magnetic conductivity) are collected and matched with the compaction state of the construction ground, and the construction quality is improved. According to the method, the soil compaction condition is evaluated in real time, when insufficient compaction is found, the additional rolling times are automatically calculated, and the operation parameters of the road roller are dynamically adjusted according to the compaction distribution thermodynamic diagram, so that the construction precision and efficiency are improved, the condition of excessive compaction or insufficient compaction can be avoided, rework and resource waste are reduced, and the construction efficiency is improved. And real-time data feedback and automatic adjustment functions are provided, and intelligent management of the construction process is realized, so that the construction quality and the resource utilization rate are greatly improved.

The invention provides a permafrost roadbed disease early warning method, and relates to the technical field of permafrost roadbed disease evaluation. The method comprises the following steps: performing deformation laser scanning detection on the surface of the permafrost roadbed to obtain road surface deformation point cloud elevation data of the permafrost roadbed; and preprocessing the road surface deformation point cloud elevation data to obtain a surface elevation two-dimensional grid of the permafrost roadbed. And calculating a deformation gradient value of each grid unit in the elevation two-dimensional grid by adopting an eight-neighborhood gradient algorithm to obtain a surface deformation gradient two-dimensional grid of the permafrost roadbed. And classifying the surface deformation gradient two-dimensional grids based on a preset deformation gradient threshold value, identifying a standard-exceeding area of the permafrost roadbed, and determining a roadbed disease index based on the area of the standard-exceeding area. And determining the disease early warning level of the permafrost roadbed according to the roadbed disease index. According to the method, the development process of frozen soil roadbed diseases can be effectively predicted, and the timeliness and reliability of freeze-thaw disaster early warning are remarkably improved.