13 results about "Soil zone" patented technology

The application discloses a kind of regional type's water source conservation function and runoff coefficient's evaluation method, including the following steps: obtaining the optical remote sensing image of the region to be evaluated, soil data, precipitation data and evapotranspiration data, analysis processing;According to the ecological system classification data and soil zoning curve value, the runoff capacity grid of each pixel corresponding to different ecological system types different soil zoning is calculated;Obtain the runoff observation data of the region to be evaluated, combine runoff capacity grid, and the runoff observed is proportionally distributed to each pixel, and the runoff depth of each pixel is obtained;According to precipitation, evapotranspiration and runoff depth, the water source conservation amount and runoff coefficient corresponding to each pixel of the region to be evaluated are obtained.The application relates to the technical field of ecological system water source conservation, and the runoff index and runoff depth of each pixel are calculated by fusing multi-source data, so that the accuracy of evaluating the water source conservation service function and runoff coefficient of the region is improved.

The invention discloses an electric simulation soil acid-base change experimental device capable of automatically replenishing water, and belongs to the technical field of soil environment simulation experimental equipment. The device comprises a box body, a soil area is arranged in the box body, two sides of the soil area are provided with a limiting chute and an inserted electrode, when the electrode is inserted, a gas cavity is compressed through a polar plate clamping seat, gas is transmitted to a water replenishing device through a gas guide cavity, and a water replenishing pricking needle is triggered to move upwards to pierce into soil and unfold a water guide channel. According to the device, a water supplementing system is started through mechanical linkage of electrode insertion action, closed-loop control is achieved through cooperation of a water level sensor and a controller, and the soil can be automatically and accurately kept in a water-completely-saturated submerging state. The intelligent synchronization of electrochemical acid-base change simulation and moisture real-time compensation is realized, the problems of water replenishing lag, operation disturbance and inaccurate moisture control in a traditional experiment are effectively solved, and the stability, repeatability and automation degree of the experiment are remarkably improved.

This invention discloses a device for diverting stray current in pipelines, comprising: at least two grounding structures and an impedance adjustment module; the grounding structures are isolated from each other, and each grounding structure is buried in a soil zone containing the pipeline; the resistivity of the soil zones is different; the grounding structures are electrically connected to the pipeline and the impedance adjustment module; the impedance adjustment module is used to obtain the resistivity of each soil zone and the current flowing through each grounding structure, and to control the impedance of each grounding structure according to the resistivity of each soil zone and the current flowing through each grounding structure, so as to control and distribute the stray current on the pipeline of each grounding structure, so that different grounding electrode zones can respectively undertake the diversion and release of stray current in pipelines under different soil resistivity conditions. This invention adopts a zoned soil grounding electrode structure to achieve effective zoned diversion and release of stray current around pipelines in complex soil, reduce the risk of pipeline surface corrosion, and ensure the long-term safe operation of pipelines.

The invention relates to the technical field of shield tunnel construction, and discloses a BIM-based shield tunnel longitudinal stiffness dynamic matching method and system, and the method comprises the steps: obtaining the exploration data of a shield tunnel stratum, and dividing a shield tunnel into a soft soil region, a transition region and a rock stratum region; respectively configuring corresponding pull rod parameters based on the partitioning result; determining required stiffness and stratum compression stiffness of the transition area according to the investigation data, and calculating the number of required pull rods by combining the stiffness of the pull rods corresponding to the transition area; according to the number of the needed pull rods, the pull rods are evenly arranged at the longitudinal joints of the shield tunnel segment; the pull rod stress and stratum deformation are monitored through the pre-embedded optical fiber sensor, the pull rod rigidity is dynamically adjusted in combination with the BIM technology, and real-time matching of the pull rod rigidity and the stratum rigidity is achieved. According to the scheme, local damage caused by rigidity mismatching of a traditional rigid reinforcing system can be avoided, and a systematic solution is provided for longitudinal deformation control of the shield tunnel in the stratum with uneven hardness and hardness.

The invention relates to the technical field of frozen soil zone evolutionary analysis, in particular to a frozen soil zone thickness evolutionary analysis method based on sparrow search algorithm optimization, which comprises the following steps: dividing a frozen soil layer according to historical formation temperature data, and determining frozen soil zone thickness data; external factors influencing the thickness of the frozen soil zone are collected within the recording time of the historical formation temperature data, and the correlation degree among the recording time, the external factors and the thickness of the frozen soil zone is analyzed; and a machine learning algorithm is combined with a sparrow search algorithm to construct an optimal prediction model for predicting the thickness of the frozen soil zone based on the external factors. The optimal prediction model formed through the machine learning model and the sparrow search algorithm can more accurately describe the complex nonlinear mapping relation between the external factors and the thickness of the frozen soil zone, the fitting degree of the prediction result and the real thickness is higher, the relative standard error is remarkably reduced, the correlation coefficient is further improved, and the method has good application prospects. And the reliability and scientificity of the prediction result are higher.

The utility model relates to the technical field of geological exploration sampling, and one embodiment of the utility model provides coal field geological exploration sampling equipment which comprises a rack, a lifting rod, a first motor, a baffle and a fixing mechanism, a spiral drill rod is arranged in the rack, the lifting rod is arranged in the rack through a lifting mechanism and used for driving the spiral drill rod to perform height movement, and the first motor is used for driving the baffle to perform height movement; the first motor is installed on the lifting rod, the output end of the first motor penetrates through the lifting rod and is axially and fixedly connected with the top end of the spiral drill rod, the two baffles are arranged on the rack through the opening and closing mechanism and used for blocking soil on the spiral drill rod, and the fixing mechanism is arranged on the rack and used for fixing the rack to the ground. By means of the technical scheme, the technical problem that in the prior art, when soil is brought out of a hole by a spiral drill rod, soil is prone to scattering around the hole, soil depth information is difficult to correspond, and the sampling effect is prone to being affected is solved.

The utility model belongs to the technical field of soil detection, discloses a soil detection sampling device, and aims to solve the problems that the existing sampling device takes out soil in a manual pulling manner, is labor-consuming to use, occupies a large space and is inconvenient to use, and the technical scheme of the utility model is as follows: the sampling device comprises a sampling cylinder with an opening in the bottom surface, a movable shaft is arranged in the sampling cylinder, a drill bit is arranged at the bottom of the movable shaft, spiral blades are fixedly installed on the periphery of the movable shaft, a square groove is formed in the movable shaft, a screw is arranged in the sampling cylinder, the upper end of the screw penetrates through the top of the movable shaft and the top face of the sampling cylinder and is in clearance fit with the top of the movable shaft, and a limiting plate is installed at the bottom of the screw through a bearing. According to the utility model, the movable block is arranged, the movable block moves up and down to drive the movable shaft to move up and down for control, the spiral blade is convenient to drill into soil, and in addition, most of the screw rod is positioned in the sampling cylinder, so that the occupied space of the device can be reduced.

The invention relates to the technical field of desert soil fertilization, and provides an experimental desert soil zoned targeted fertilization method, which comprises the following steps: community investigation: sampling and recording overground and underground biomass and soil samples in an experimental area; as shown in figure 1, different shrub and grass configuration combinations are adopted in each large area, each small area comprises four sub-small areas, and fertilization is conducted in the sub-small areas; turning soil and applying fertilizer: turning the soil in the subplots, and applying fertilizer respectively; partitioning and retaining: arranging a retaining device in the sub-plot after fertilization, wherein the retaining device can separate the tail part of the retaining device from external soil; according to the technical scheme, aiming at a grassland desert-desertification grassland transition ecological system, shrub and grass configuration combination-soil fertility improvement synergistic remediation is carried out, the economic benefit is improved, the soil fertility and the biological diversity are improved, and then an optimal scheme is found for degraded community remediation and ecological function improvement.

The invention relates to a method and device for preparing agricultural soil prior to sowing, characterized in that it consists of forming, at a first depth (a), a plurality of furrows by means of symmetrical double-share (2a) and double-moldboard (2b) plough bodies (2), each spaced from its neighbor by a distance (E) such that it leaves between two adjacent furrows (6) a strip of unworked soil of width (L) at least equal to the width (C) of each furrow (6), and then, after a period of eight to fifteen days, forming, at a second depth (b), a second plurality of furrows (10), offset from the first by a value (D) equal to half the spacing (E) of the plough bodies (2). FIGURE IN ABRIDGED DIAGRAM: [Fig 4]

The application discloses a kind of garden green plant configuration planning method and system, it constructs underground pipe network submodel by obtaining underground pipe network data, coupling process model based on intelligent agent is constructed in combination with garden green plant configuration planning data, the root growth rate formula of garden green plant containing soil volume fraction is determined, process ecological system model is fused and constructed by underground pipe network submodel and coupling process model to simulate the growth process of garden green plant in the preset growth cycle and the change of soil structure at the position where garden green plant grows for the first time, soil volume fraction sequence according to time sequence sequence is obtained according to the rate formula of the change of soil volume fraction with time, the soil volume fraction of coupling process model in process ecological system model is updated, the growth process of garden green plant in the preset growth cycle is simulated for the second time, and the structural interference influence of the growth of garden green plant to underground pipe network is analyzed according to the second simulation result and the predicted change of soil structure;Garden green plant configuration planning data is corrected according to the structural interference influence. b The data of soil volume fraction S b Sequence after the first simulation is closer to the structural change of soil brought by the real growth of garden green plant, so that the new soil condition is updated according to time sequence sequence, the second simulation is carried out, and more accurate result can be obtained.

The utility model relates to the technical field of detection device for soil collection, concretely is a kind of detection device for soil collection for agricultural technology popularization, including bottom plate and connecting plate, and soil detector and soil collection structure are fixedly installed on bottom plate and connecting plate all, the utility model is equipped with soil collection structure, under the premise that original soil detector and soil collection structure are combined together, soil collection structure collected soil can not be manually taken to the below of soil detector to detect, first, soil collection structure is started to run and is lowered to ground to grab soil, then the soil of soil collection structure is lifted to the above of connecting plate and higher than collection detection load platform with the soil of soil that is grabbed, then the second electric telescopic rod is started to stretch and drives collection detection load platform to reach the below of soil collection structure, and soil collection structure is controlled again to make the soil that it grabs fall to the inside of collection detection load platform.

The utility model provides a stratified sampler for soil detection, and relates to the technical field of detection devices, the stratified sampler comprises a stratified sampling assembly, the bottom of the stratified sampling assembly is provided with a supporting assembly, the outer side of the stratified sampling assembly is provided with a storage assembly, the stratified sampling assembly comprises a threaded rod, and the bottom of the threaded rod is connected with an auger; an operator rotates a connecting disc, so that a threaded rod drives an auger to downwards and spirally drill into soil, the auger makes full contact with the interior of the soil, then a handle is pulled upwards to drive a mounting plate and the auger to synchronously ascend, and the soil making contact with the auger is brought into a sleeve; then the layered sampling assembly is inclined towards one side of the sampling opening to promote different layers of soil in the sleeve to enter the storage box, then the storage box is taken out from the sampling opening, meanwhile, the opening of the storage box is covered with the cover plate, the layered soil can be conveniently and directly stored in a classified mode, and follow-up transfer work can be conveniently carried out.

The invention discloses a garden green plant configuration planning method and system, and the method comprises the steps: building an underground pipe network sub-model through obtaining underground pipe network data, building a coupling process model based on an intelligent agent in combination with garden green plant configuration planning data, and determining a root growth rate formula of garden green plants containing a soil volume fraction; fusing the underground pipe network sub-model and the coupling process model to construct a process ecological system model so as to simulate the growth process of the garden green plants and the soil structure change at the growth position of the garden green plants in a preset growth period for the first time; calculating a soil volume fraction sequence changing according to the time sequence according to a change rate formula of the soil volume fraction along with time, updating the soil volume fraction coupled with the process model in the process ecological system model, and simulating the growth process of the garden green plants in the preset growth cycle for the second time, analyzing the structure interference influence of the growth of the garden green plants on the underground pipe network according to the second simulation result and the predicted change of the soil structure; and correcting the garden green plant configuration planning data according to the structure interference influence. The data of the soil volume fraction Sb sequence after the first simulation is closer to the structural change of the soil brought by the real growth of the garden green plants, so that a new soil condition is updated according to the time sequence, the second simulation is performed, and a more accurate result can be obtained.