90 results about "Soil volume" patented technology

The invention discloses a soil water and salt dynamic monitoring and quality evaluation method based on multispectral remote sensing, and relates to the field of geological monitoring, and the method comprises the steps: carrying out the scattering deviation correction and roughness correction of an observation spectrum through a satellite remote sensing image, an unmanned aerial vehicle multispectral image, a ground sample and meteorological driving data; the soil intrinsic reflectivity, the vegetation coverage component and the salt crusting component are obtained; a water-salt inversion model is established by combining thermal infrared and red edge wave band information, and multi-temporal soil volumetric moisture content and surface salinity index are inverted; by introducing meteorological conditions and vegetation dynamic characteristics, a water-salt coupling partial differential equation and a graph space-time constraint model are constructed, and continuous space-time distribution of soil water content and salinity is obtained; extracting salinity, moisture, vegetation response and soil health indexes, establishing a soil quality comprehensive evaluation model, and outputting high-risk plaques and a treatment priority sequence. The method realizes dynamic monitoring and quality grading evaluation of soil water and salt, and is suitable for saline-alkali soil treatment and ecological restoration.

The invention relates to the technical field of intelligent control, and discloses a water-saving fertilization variable control method suitable for sandy soil, and the method comprises the steps: obtaining collection data based on a sensor; and establishing and updating an infiltration-storage-leaching loss prediction model of the sandy soil according to the collected data, performing state estimation on soil moisture and nutrient states, and calculating root layer moisture deviation, fertilizer concentration deviation and deep seepage risk. And executing model predictive control in the rolling time domain to obtain a control result. And executing water-saving fertilization operation according to the control result. In the execution process, the soil volume moisture content, the soil water potential, the soil conductivity and shallow layer leakage observation data are fused, the prediction model is corrected, the control result is dynamically adjusted according to the correction result, and when the environment wind speed exceeds a set threshold value, the spray irrigation parameters are corrected. The fine level of control is improved, deep layer leakage can be inhibited under the sandy soil condition, water and fertilizer balance of a root layer is guaranteed, and external disturbance is coped with.

The invention discloses an irrigation index prediction method based on meteorological data and field moisture capacity, and relates to the technical field of intelligent agriculture, and the method comprises the steps: collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data and future precipitation forecast data, and carrying out quality control and time alignment processing to obtain a multi-source data set; the method comprises the following steps: calculating evapotranspiration of a reference crop according to real-time meteorological data, obtaining actual water demand of the crop in combination with a crop coefficient, calculating a moisture stress coefficient according to real-time soil volumetric water content data and a field moisture capacity static parameter value, and obtaining a basic irrigation demand index in combination with future precipitation forecast data. According to the method, the evapotranspiration amount is separated by adopting the Shuttleworth-Wallace model, the irrigation index integrating the crop evapotranspiration amount, the water deficit amount and the effective precipitation amount is generated on the basis of multi-period rolling water balance calculation and risk decision rules, and online calibration of soil parameters and optimization of irrigation decision are achieved.

The invention relates to the technical field of flowerpot maintenance, in particular to a flowerpot maintenance intelligent alarm system based on multi-sensor fusion, which comprises a flow for implementing flowerpot maintenance intelligent alarm based on multi-sensor fusion. The flow of the flowerpot maintenance intelligent alarm based on multi-sensor fusion comprises the following steps: step 1, regularly awakening a system: activating a main control module and a sensor array according to a preset period through an RTC module; 2, after the sensor array is activated, data of soil volume water content # imgabs0 #, illuminance # imgabs1 #, humidity # imgabs2 # and soil soluble salt concentration # imgabs3 # are obtained; according to the system, key parameters such as soil humidity, temperature, illumination intensity and nutrition level are monitored in real time through multi-sensor fusion, a health degree score is calculated through data preprocessing and dynamic fusion decision, alarm is triggered according to a dynamic alarm rule, meanwhile, maintenance behaviors can be automatically adjusted according to plant requirements, and scientific and intelligent maintenance of plants is achieved.

The invention discloses a binocular vision-based muck volume identification method suitable for muck volume measurement in shield tunneling machine operation. The method comprises the following steps of 1, acquiring image data of a muck area in an operation process through a binocular camera; 2, performing target detection on a detection head of the YOLOv8; step 3, target segmentation is carried out in the SAM model; 4, generating a point cloud; 5, calculating the volume; and step 6, performing real-time feedback and application. Dynamic convolution is introduced into a YOLOv8 backbone network, a target scale adaptive mechanism is integrated into a neck network, and three-dimensional point cloud data is generated in combination with binocular vision, so that variable shapes and sizes of muck can be better coped with, an efficient, accurate and real-time feedback muck volume measurement scheme is provided, and the muck volume measurement accuracy is improved. And the automation level and the operation efficiency of underground engineering construction are further improved.

The invention discloses an intelligent irrigation dynamic regulation and control method and system based on multi-source data. The method comprises the steps that the daily total water demand volume is calculated; acquiring the volume moisture content of the soil of the surface layer and the main root system layer in real time through an array sensor, and calculating the real-time infiltration gradient between the surface layer and the main root system layer; and executing a pulse irrigation process formed by alternation of irrigation pulses and infiltration waiting pulses, stopping water supply when the volumetric water content of the surface layer reaches a first preset threshold value, starting next water supply when the real-time infiltration gradient is lower than a second preset threshold value, and stopping water supply until the accumulated irrigation amount reaches the daily total required water volume or deep layer leakage is monitored. The system is used for executing the method. According to the method, the soil internal infiltration gradient serves as the physical basis of pulse start and stop, efficient conveying of water to deep soil is achieved, the contradiction that surface runoff and deep root system water shortage coexist is solved, and the water utilization rate is increased.

The invention relates to the field of data analysis, in particular to a controlled-release nitrogen fertilizer application decision optimization method in combination with soil water content change characteristics, and the method comprises the following steps: obtaining an effective infiltration potential energy optimization factor through field water capacity threshold truncation of a soil volume water content sequence and effective infiltration potential energy time window accumulation difference evaluation; obtaining a water potential lag direction optimization factor through first-order difference gradient direction consistency and trend amplitude gating coupling evaluation of the soil volume moisture content sequence; the DTW local distance is corrected through the effective infiltration potential energy optimization factor and the water potential lag direction optimization factor; and performing release curve weighted prediction on the optimal matching historical sequence corresponding to the optimized DTW distance to obtain an accurate controlled-release nitrogen fertilizer application decision suggestion so as to solve the problems of historical scene matching distortion and controlled-release nitrogen fertilizer application decision deviation caused by neglecting of an effective cumulative effect and a water potential hysteresis effect in the existing Euclidean distance measurement.

The invention relates to the field of data analysis, in particular to a farmland soil compaction diagnosis method based on multi-source sensor data, and the method comprises the steps: carrying out the gradient energy feature construction and phase alignment cross-correlation evaluation of soil resistance depth curve data, and obtaining a gradient energy phase locking factor; carrying out rheological consistency coupling evaluation on the morphological characteristics of the soil resistance depth curve and the soil volume moisture content to obtain a rheological morphological coupling factor; performing joint correction on the basic Euclidean distance to obtain an adaptive similarity distance and executing clustering iteration; spatial modeling and prescription mapping are carried out on a clustering result and sampling point position information, so that a soil compaction accurate diagnostic graph is obtained, and a differentiated subsoiling operation instruction is generated; the method solves the problem that the existing Euclidean distance easily causes the characteristic dislocation of the compaction layer and the deformation of the rheological strength under the condition of farmland micro-topography fluctuation and water content difference to cause the distortion of the clustering partition.

The invention discloses a method for determining the pile spacing of ultra-deep vibro-replacement gravel piles based on the pile-soil volume replacement rate, which comprises the following steps: before vibro-replacement gravel pile construction, selecting a plurality of representative construction sites in a construction area as ultra-deep vibro-replacement gravel pile construction pile spacing test sites; in each test site, taking a square, and constructing gravel piles for foundation reinforcement at four vertexes of the square to form four gravel piles distributed in a square shape; according to the square area of each test site and the depths of the four gravel piles, the pile-soil volume replacement rate of each test site is calculated; the pile-soil volume replacement rate obtained through calculation of each test site is compared with a pre-designed replacement rate, and the optimal pile-soil volume replacement rate is obtained; and according to the optimal pile-soil volume replacement rate, the pile spacing of the ultra-deep vibro-replacement gravel piles in the construction area is determined, so that the gravel piles are planned and constructed in the construction area according to the determined pile spacing.

The application discloses a kind of based on the growth environment multi-factor comprehensive monitoring method and system of old tree protection, including step (S1) non-invasive perception network construction: in the crown layer area of old tree deployment meteorological monitoring unit, real-time acquisition photosynthetic active radiation intensity PAR and crown layer surface temperature T c ; with trunk as center, soil sensor array is radially laid in root distribution area, and soil volume water content θ and soil water potential are monitored in layers;Micro-invasive thermal diffusion probe is installed at the breast diameter of trunk, and xylem original liquid flow flux SF raw Is continuously measured, and initial liquid flow flux SF raw Calibration is carried out;Foundation interferometric radar is erected outside the protection zone, and three-dimensional spatial distribution point cloud P r Of root is obtained by surface scanning.This application can realize more comprehensive old tree monitoring, and timely find the existing abnormality of old tree environment.

This invention provides a method and tool for applying soil to fruit trees in holes. The method includes the following steps: S1, acquiring a tool for applying soil to fruit trees in holes; S2, based on the tool, performing a constant soil volume transport control scheme determination step for each fruit tree, wherein the constant soil volume transport control scheme determination step includes: S21, acquiring tool parameter information of the tool for applying soil to fruit trees in holes; S22, preset the feed speed V of the tool for drilling soil in holes. y and volume per unit time V 体 S23, Based on tool parameter information and feed rate V y Volume per unit time V 体 S2. Obtain the rotational speed V of the fruit tree hole-applying tool at each feed time t; S3. Based on the control scheme obtained in step S2, control the rotational speed V of the fruit tree hole-applying tool at each feed time t to achieve constant soil volume delivery for fruit tree hole application. This invention uses a dynamic balance method for soil delivery volume to effectively prevent problems such as drilling process jamming and untimely soil delivery, thereby improving drilling efficiency and fertilization effect.

The invention provides a sponge city construction full-permeable road rainwater collection system mechanism, and relates to the field of road construction, the sponge city construction full-permeable road rainwater collection system mechanism comprises a support bottom plate, a collection cylinder and a mounting support rod, the support bottom plate is in a square frame shape, four corners of the support bottom plate are provided with four connecting cavities with outward openings, and the positions of the connecting cavities are symmetrical. The rainwater is collected through the collecting groove, the rainwater is guided to flow into the closed cavity through the guide groove, at the moment, a part of the rainwater downwards falls into the soil in the filling space through the guide hole to achieve the absorbing and supporting effects, and after the rainwater is absorbed, the soil in the filling space is expanded in volume and complements each other to achieve the supporting effect; in rainy days, earthquakes and other special disasters, if the outer wall of the filling cavity is broken, the foam joint mixture stored in the filling cavity flows outwards into soil gaps in the filling space and the collecting cavity, and the effects of reinforcement and stabilization are achieved through the foam joint mixture.

The invention relates to the technical field of soil utilization, and discloses a soil stripping and recycling system and method, soil quality analysis is carried out before soil stripping, so that soil stripping and recycling are carried out, and the system comprises a stripping determination module, a storage determination module and an earthwork balance module. The method corresponds to the system. According to the method, dynamic parameters such as terrain gradient and transportation loss are acquired in real time, and the effective stripped earth volume is accurately calculated in combination with a soil quality analysis result; the storage area determination module monitors the slope stability in real time through a tilt angle sensor, dynamically adjusts stacking parameters, and maximizes the utilization of the storage space while guaranteeing the safety; the earthwork balance module realizes collaborative optimization of static planning and dynamic response based on dynamic stripping and storage data, and intelligently deploys earthwork resources; therefore, a safe and efficient soil recycling technical scheme based on data is formed, and a new solution is provided for land resource protection and ecological restoration.

The invention discloses a soil moisture content prediction system, which relates to the technical field of soil monitoring and comprises a small-core processor module, a large-core processor module and a sensor module, the large-core processor module is deployed with a large language model and a visual model; the sensor module collects environmental parameter data of a target soil area in real time; the small-core processor module stores the environment parameter data collected in real time to a local cache; the large-core processor module is used for synchronizing locally cached environment parameter data to a memory of the large-core processor module when the large-core processor module is powered on, the sensor module is controlled to collect an environment image, and the visual model analyzes the environment image to obtain image analysis text content; the large language model predicts the soil volumetric water content in a future set time period according to the input information; the input information comprises the image analysis text content and the environment parameter data at the corresponding moment. According to the invention, system power consumption can be reduced, and high-computing-power data analysis and timely prediction of soil volumetric water content can be realized.

The present invention discloses an automatic leveling system and method for motor graders based on 2D laser technology. This system aims to address the problem of existing motor graders requiring the operator to visually adjust the blade height, which affects construction accuracy and efficiency. This problem also leads to excessive blade loading and excessive soil volume when encountering uneven terrain. The system comprises a laser transmitter, a controller, and a blade. The blade is equipped with a lifting mechanism, a support rod, and a laser receiver. The controller is electrically connected to the laser receiver, and is also electrically connected to an electric proportional valve and a display. The system is suitable for leveling motor graders, automatically adjusting the blade height to improve leveling accuracy. The system is simple to operate and reduces operator workload. The blade first performs rough leveling, followed by fine leveling. This prevents excessive blade loading and excessive soil volume without compromising construction accuracy.

The present invention discloses a method for analyzing the mixed runoff generation mechanism of stratified runoff in small and medium-sized watersheds. The method includes collecting basic data on the watershed and setting up several monitoring points; conducting hydrological sampling during rainfall events; testing and analyzing the hydrogen and oxygen isotope composition and hydrochemical composition of water samples; classifying rainfall events; analyzing the hydrogen and oxygen isotope and hydrochemical characteristics of the hydrological process, and analyzing the rainfall-stratified runoff response pattern by combining the rainfall process, the change process of soil volumetric moisture content, and the change process of groundwater level; drawing an end-member mixing diagram to identify the main sources of stratified runoff, and constructing an end-member mixing model to divide the stratified runoff water source components. Through the analysis of hydrogen and oxygen isotope and hydrochemical characteristics of the hydrological process and the monitoring of multiple hydrological elements, the present invention can not only reveal the water migration process in the watershed and the runoff convergence path of each layer, but also provide a more in-depth analysis of the rainfall-stratified runoff response pattern under different rainfall patterns.

The invention provides a shield muck improvement method for a water-rich coarse-particle stratum, and relates to the technical field of shield muck improvement, and the method comprises the following steps: calculating the volume Vs of a soil body cut by a cutter head of a shield tunneling machine in unit time according to the excavation diameter D and the tunneling speed v of the shield tunneling machine and the loose coefficient K of the coarse-particle stratum; calculating the flow q of the calcium-based clay mineral-sodium silicate mixed slurry in unit time by combining Vs with the injection ratio KIR; according to the preset volume ratio M of the calcium-based clay mineral slurry to the sodium silicate solution and the number N and q of the mixing containers, the flow qK and qG of the two raw materials in the single mixing container in unit time are calculated; starting a shield tunneling machine, pumping the two raw materials into a mixing container according to qK and qG by a pumping device to prepare mixed slurry, and injecting the mixed slurry into a soil bin to be mixed with shield muck. The mixed slurry mixes the shield muck with underground water by virtue of good bonding capacity, improves the plastic flow state of the muck, reduces the permeability, and avoids spewing and stagnant discharge of the muck, so that the stability of a tunnel face is guaranteed.

The invention provides a farmland nitrogen loss monitoring method and system based on multi-source data, and the method comprises the following steps: obtaining multi-source time sequence data of a target region; performing inversion to obtain the soil volumetric water content of each field parcel in the farmland parcel vector data; simulating to obtain the surface runoff and leakage of each field parcel in the farmland parcel vector data; constructing a nitrogen loss estimation model, and inputting the soil volumetric water content, the surface runoff and the leakage of each field in the farmland plot vector data into the nitrogen loss estimation model to obtain a nitrogen loss load corresponding to each field in the farmland plot vector data; and performing nitrogen loss risk monitoring on the field parcels in the target area according to the nitrogen loss load. Therefore, by applying the technical scheme of the application, the monitoring efficiency and the monitoring accuracy of the nitrogen loss of the farmland plot can be effectively improved.

This invention relates to the field of underground engineering construction monitoring technology, and provides a method and system for in-situ volume inversion of shield tunnel excavated soil based on multiphase material balance. The method includes: acquiring three-dimensional point cloud data of the excavated soil surface and the conveyor belt speed; for each moment, projecting the three-dimensional point cloud data onto a direction perpendicular to the conveyor belt reference plane, and calculating the effective area of ​​the cross-section using the polygon area formula; within the time period of one tunneling ring, calculating the integral of the product of the effective area of ​​the cross-section and the conveyor belt speed at each moment to obtain the cumulative loose volume; and using a multiphase material balance correction model, inverting the cumulative loose volume into the in-situ soil volume. This eliminates the influence of soil conditioner and accurately inverts the true in-situ soil volume.

This invention relates to the field of data analysis, and more particularly to a method for assessing farmland soil quality based on multi-source sensor information fusion. The method includes: constructing gradient energy features and performing phase-aligned cross-correlation assessment on soil resistance depth curve data to obtain a gradient energy phase-locking factor; performing rheological consistency coupling assessment on the morphological features of the soil resistance depth curve and soil volumetric water content to obtain a rheological morphology coupling factor; jointly correcting the basic Euclidean distance to obtain an adaptive similarity distance and performing clustering iterations; and performing spatial modeling and prescription mapping on the clustering results and sampling point location information to obtain a precise soil compaction diagnostic map and generate differentiated deep loosening operation instructions. This addresses the problem that existing Euclidean distances easily cause misalignment of compaction layer features and distortion of rheological intensity under farmland micro-topographic undulations and water content differences, leading to distorted clustering partitions.

The invention relates to the technical field of shield tunnel construction. The invention discloses a muck volume measurement method based on binocular scanning. The muck volume measurement accuracy can be improved. The method comprises the steps that first contour data and second contour data of muck on a horizontal conveying belt in the shield tunneling machine at the current moment are obtained, and the first contour data and the second contour data are obtained by two laser scanners located at different positions; performing coincidence matching processing on the first contour data and the second contour data to obtain a first coincidence set, a second coincidence set, a first non-coincidence set and a second non-coincidence set; performing iterative nearest point registration processing on the first coincidence set and the second coincidence set to obtain a third coincidence set; and generating a target curve based on the third coincidence set, the first non-coincidence set and the second non-coincidence set, and measuring the volume of the muck by adopting the target curve.

The present application relates to the technical field of composite material nondestructive testing and structure health monitoring, in particular to a new energy composite material micro-crack testing method based on ultrasonic echo; comprising: obtaining the time sequence ultrasonic echo signal of the target composite material in a continuous time period, and synchronously obtaining the soil volume water content and soil temperature; extracting the echo attenuation coefficient under different soil volume water contents, and analyzing the water saturation degree of micro-cracks; combining the soil humidity change curve and the water saturation degree change curve to calculate the capillary water absorption response coefficient; inputting the water machine coupling degradation prediction model to calculate the material degradation rate and the residual strength reduction coefficient; combining the future meteorological prediction data to extrapolate the water-sensitive micro-crack risk index, and obtaining the dynamic warning of the remaining safe life; the present application realizes the improvement from single static detection to the identification of the internal medium state of cracks.

This invention discloses an irrigation index prediction method based on meteorological data and field capacity, belonging to the field of smart agriculture technology. The method includes collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data, and future precipitation forecast data, and performing quality control and time alignment processing to obtain a multi-source dataset. Based on the real-time meteorological data, a reference crop evapotranspiration is calculated, and combined with the crop coefficient, the actual water requirement of the crop is obtained. Based on the real-time soil volumetric water content data and the static parameter value of field capacity, a water stress coefficient is calculated, and combined with future precipitation forecast data, a basic irrigation demand index is obtained. This invention uses the Shuttleworth-Wallace model to separate evapotranspiration and, based on multi-period rolling water balance calculation and risk decision rules, generates an irrigation index that integrates crop evapotranspiration, water deficit, and effective precipitation, achieving online calibration of soil parameters and optimization of irrigation decisions.

This utility model relates to a peanut inter-row tiller and hilling machine, belonging to the field of agricultural machinery technology. The technical solution is as follows: a hydraulic cylinder support is provided between the front beam and rear crossbeam of the frame. A hydraulic cylinder is mounted on the hydraulic cylinder support. Hydraulic cylinder mounting seats at both ends of the hydraulic cylinder are connected to the hydraulic cylinder support and the end support, respectively. The hydraulic cylinder drives the telescopic sleeve structure to extend and retract. The lower part of the hilling device mounting seat is hinged to the support arm via support arm bolts. Hilling wheels are located at the rear of the two hilling wheel mounting plates. The hilling wheels are arranged at an angle to the furrow line, with the two hilling wheels tilting in opposite directions, forming a V-shape with their openings facing rearward. The beneficial effects of this utility model are: the hilling height and soil volume can be adjusted according to the furrow width, ensuring that the peanut pegging reaches the soil during the flowering period, improving the peanut pegging rate and fruiting rate; the height of the hilling mechanism automatically adjusts according to the shape of the furrow, allowing for convenient adjustment of the hilling height and adaptation to the furrow width.

This application relates to the field of data processing technology, specifically to a method and system for efficiently detecting soil moisture content in sugarcane fields. The method includes: acquiring sampling point data and historical water consumption data from multiple sampling points in a sugarcane field area; clustering the multiple sampling points based on the sampling point data of each sampling point to obtain multiple sampling point clusters; determining the depth attenuation coefficient of each sampling point cluster based on the root density, soil dielectric constant, and historical water consumption data of the sampling points contained within each cluster; performing spatial interpolation processing on the soil volumetric water content of the sampling points contained within each cluster based on the depth attenuation coefficient of each sampling point cluster to obtain the whole-field moisture content distribution data of the sugarcane field area; and determining the total moisture content within the middle soil depth range based on the whole-field moisture content distribution data. This method can obtain accurate quantitative total moisture content within the middle soil depth range.

In the present invention, a controller determines a first pass target excavation depth on the basis of the end position for the excavation, the target soil volume, and the excavation distance. The controller executes a first pass excavation by moving a work machine to the first pass target excavation depth. The controller acquires the actual volume of soil excavated in the first pass. The controller corrects the target soil volume on the basis of the actual volume of soil. The controller determines a second pass target excavation depth on the basis of the corrected target soil volume. The controller executes a second pass excavation by moving the work machine to the second pass target excavation depth.

The invention relates to the technical field of soil physical property determination, and provides a flow-controllable variable-angle type soil moisture infiltration rate determination system and method.The system comprises a variable-angle supporting assembly (200) and a test column (300) used for controlling the rotation positioning angle, the test column (300) is a uniformly-distributed split type column body, and the variable-angle supporting assembly (200) is connected with the variable-angle supporting assembly (200). The closed connection part of the split type column body is sealed with test soil through a gasket (303); the top end of the test column (300) is connected with a flexible water supply assembly (400), the double-control visual compactor (100) is further included, and the compactor (100) is used for synchronously controlling the soil volume and the soil stress when the test soil in the test column (300) is compacted. According to the invention, the marginal effect is eliminated, undisturbed sampling is facilitated, the device is suitable for various angles, the flow can be accurately controlled, meanwhile, visual constant volume filling is realized by utilizing mechanical stress feedback, and high-precision measurement of the hydraulic characteristics of the soil of the Philip infiltration model is corrected based on compaction stress parameters.

The application discloses a slope soil flow monitoring method combining geophysical exploration and soil moisture sensor network, and comprises the following steps: acquiring rainfall data, resistivity spatial dynamic distribution data, multi-depth and multi-slope position soil volume water content data and soil temperature data, and multi-depth runoff data of a target runoff plot; processing the resistivity data; establishing a quantitative relationship model between the resistivity and the soil water content; determining rainfall data and resistivity data for identifying the soil flow path and the dynamic change process; calculating the soil moisture spatial distribution dynamics of the monitoring range at different times; verifying the inversion result; and visually outputting based on the dynamic process. The application focuses on the multi-source data fusion and monitoring system structure innovation, breaks through the technical bottleneck of the dynamic path identification and quantitative analysis of the soil flow under the present ground conditions, and provides high-precision and non-intrusive method support for the slope rainfall runoff relationship analysis and in-situ monitoring of the mountain water and soil process.

The present invention relates to a self-propelled deep-rooted tuber crop combine harvester, comprising a vibrating excavation component, an excavation component lifting device, a transport and attachment platform, a key screen separation component, a separation component lifting device, and a multi-stage flexible transport collection device. The excavation component lifting device and the separation component lifting device are fixed to the transport and attachment platform. The vibrating excavation component is vertically lifted and lowered by the excavation component lifting device, and the key screen separation component is driven by the front and rear swing arms of the separation component lifting device to swing and lift as a whole. The working state of the harvester is divided into six stages: mobile transportation, preparation for burial, burial of the excavation component, normal operation, excavation component unburial, and component reset. The movement and position of the vibrating excavation component and the key screen separation component in each stage are controlled according to a certain plan. Based on the principles of vibration-driven drag-reducing excavation and staggered vibration separation, this invention utilizes a vertical lift configuration for the vibrating excavation component and a variable-position swing lift configuration for the key-screen separation component. This improves the stress conditions on the excavation components, meeting the requirements for excavating and harvesting deep-rooted crops. It simplifies the structural components for root-soil separation and lifting and transport, and optimizes their spatial layout. This enables vibration-driven drag-reducing excavation of deep-rooted stem crops, efficient root-soil separation with large soil volumes, and low-loss throwing and transport of long stems, providing a new solution for the combined harvesting of deep-rooted stem crops such as licorice. This invention is applicable to the harvesting of a variety of root crops and has promising prospects for widespread application.

This application discloses a method, device, and equipment for measuring soil electrical conductivity, relating to the field of soil testing technology. The method comprises: installing an SFCW-TDR device at a target soil monitoring point while simultaneously collecting the soil dry volume and field water holding capacity of the target soil monitoring point; using the SFCW-TDR device to collect the apparent dielectric constant, soil volume moisture content, and soil conductivity of the target soil monitoring point in real time, with the apparent dielectric constant used to determine the soil conductivity; calculating a relative humidity factor based on the real-time collected soil volume moisture content, soil dry bulk density, and field water holding capacity; and calculating the soil conductivity of the target soil monitoring point in real time based on the soil conductivity and the real-time relative humidity factor. This application can achieve rapid on-site measurement of soil electrical conductivity in related technologies, addressing the problem of large errors in the results and improving the accuracy and real-time performance of soil conductivity measurements.