66 results about "Soil texture" patented technology

The invention belongs to the technical field of intelligent soil monitoring, and particularly relates to a multi-sensor networking soil parameter high-precision detection device and method.The device adopts sensing, transmission and data processing, a four-layer architecture is applied, a sensing layer collects soil texture, temperature and salinity parameters, an environment interference factor matrix is constructed, and a data processing layer is constructed; outputting non-interference data through a layered interference calibration model; the transmission layer completes data transmission through wired and wireless dual modes; the data processing layer extracts spatial-temporal characteristics after preprocessing, and obtains a soil parameter fusion value through dynamic weight fusion; and the application layer matches the fusion value with a preset template to realize scene generation and visual rendering. According to the invention, the problems that the precision of the existing multi-sensor networking system is easily influenced by the outside and the intelligent level is insufficient can be solved.

The utility model discloses an efficient drainage ditch excavation device based on an adjustable shaping excavator bucket, and relates to the technical field of municipal engineering and hydraulic engineering construction. Different design requirements are met by hydraulically adjusting the size of the bucket, the bucket body is formed at a time, manual finishing and template use are reduced, the construction cost is reduced by more than 20%, the excavation precision is controlled by combining GPS positioning and real-time measurement, the groove longitudinal slope and elevation precision is ensured, and the construction efficiency is improved. One-time forming of the drainage ditch and synchronous outward transportation of spoil are achieved, and site accumulation is avoided. According to the scheme, the construction efficiency and quality are remarkably improved, and the method is suitable for municipal drainage engineering under soil texture and strong weathered rock geological conditions.

The invention belongs to the technical field of plant planting, and discloses a plant root zone water-retaining agent targeted application method and system based on an intelligent model, and the method comprises the steps: obtaining plant parameter data, planting pit structure data and soil texture data; determining a root zone radius and a root zone effective depth, calculating a root zone cross section area and a root zone volume, and obtaining the number of layers and the volume of each layer; obtaining a water supply event record and a water content time sequence, obtaining a root zone equivalent infiltration volume, and obtaining a root zone effective water retention volume; calculating the notch volume of the effective moisture supply of the root zone by combining the effective moisture retention volume of the root zone, and endowing the notch with a grade mark; pre-constructing a water-retaining agent application prediction model, and outputting a water-retaining agent target dosage and layered putting proportion set; correcting an output result of the water-retaining agent application prediction model; modeling analysis is carried out on the moisture retention and notch of the root zone through the model, the water-retaining agent dosage and the layering proportion are output, and the pertinence and stability of water-retaining agent application are improved.

The invention discloses a device capable of flexibly adjusting turning and burying depth and returning amount, which comprises a main frame and further comprises the following modules: a straw treatment module arranged at the front part of the main frame and used for collecting field straws; the straw crushing module is arranged at the position of the middle of the main machine frame and used for crushing straw and conveying the crushed straw; and the straw turning and burying module is arranged at the rear part of the main frame. According to the device capable of flexibly adjusting the turning and burying depth and the field returning amount, through the depth adjusting module, the straw turning and burying depth can be accurately controlled according to the actual conditions of different soil textures, crop root system distribution and the like, and meanwhile the field returning amount is reasonably adjusted; straw can be fully turned and buried into soil, sufficient organic matter is provided for the soil, adverse effects on crop growth caused by too deep or too shallow turning and burying and too large or too small returning amount can be avoided, and the agricultural production quality is effectively improved.

The invention relates to the technical field of digital soil mapping and soil information extraction, and discloses a soil type texture map deduction method, device and equipment of surface soil and a medium. The soil type texture map deduction method comprises the steps of obtaining mechanical composition of field sampling points, obtaining environment covariants of a target area, and obtaining the environment covariants of the target area; modeling the environment covariables of the target area into a plurality of spatial point elements, and modeling the soil type map into a plurality of spatial surface elements; establishing a machine learning model, and predicting the mechanical composition corresponding to the environment covariable array of all spatial point elements; assigning a corresponding soil texture to each space surface element based on a mechanical composition mean value of all space point elements in each space surface element surface; and drawing a continuously distributed soil type texture map according to the soil type textures corresponding to all the spatial surface elements. The soil type texture map inference method, device and equipment and the medium are used for assisting soil type naming in a soil classification system, the prediction precision is high, the prediction efficiency is high, and the cost is low.

The utility model discloses a composite support system for excavation of a soft soil texture foundation pit, which comprises SMW (soil mixing wall) construction method piles, three-shaft mixing piles and an underground support structure, and the SMW construction method piles are arranged at intervals along the outer side of the foundation pit in the circumferential direction to form an outer enclosure structure. The three-shaft mixing piles are arranged along the inner side of the foundation pit at intervals and located on one side of the SMW construction method piles so as to form an inner reinforcing structure, the underground supporting structure is arranged in the SMW construction method piles and located in the foundation pit, and the underground supporting structure comprises an underground body, horizontal inner supports, stand column piles, latticed columns and adjustable inclined throwing supports. The latticed columns are vertically arranged below the horizontal inner supports, the bottom ends of the latticed columns are inserted into the stand column piles, and the adjustable inclined throwing supports are installed between the side walls of the underground body and a bottom plate of the underground body in an inclined mode. A composite supporting system composed of the composite supporting structure and the underground supporting structure is adopted, and the composite supporting system is suitable for soft soil geologic condition supporting and can provide higher supporting force.

The invention discloses a soil texture detection device, and relates to the technical field of soil texture detection, the soil texture detection device comprises a base, a soil collection assembly and a detection assembly, the soil collection assembly comprises a spiral blade, an adjusting mechanism, a clearing mechanism and a screening mechanism; the detection assembly comprises a conveying channel, a temperature detector, a humidity detector, a pH value detection mechanism and a detection box. According to the invention, the arranged clearing mechanism passively rotates along with the rotation of the spiral blade, so that the clearing mechanism removes large impurities on the surface of soil and prevents the impurities from entering the collecting cylinder, and meanwhile, the arranged screening mechanism screens out fine impurities in the soil, so that the detection assembly is protected from being worn while the purity of an initial sample is ensured; and the conveying channel guides the screened soil to sequentially pass through the detection components, so that the temperature detector, the humidity detector and the pH value detection mechanism respectively detect the temperature, the humidity and the pH value of the soil, and meanwhile, different reagents are placed in the detection box so as to further detect the components of the soil.

The utility model discloses an adjustable drag head device and a drag suction dredger, and belongs to the technical field of dredging engineering.The adjustable drag head device comprises a main machine body, a movable cover, a cutting assembly, a first driving part and a second driving part, and the movable cover is rotationally connected with the main machine body through a first rotating shaft; the cutting assembly comprises a supporting beam and cutting rake teeth, the multiple cutting rake teeth are arranged on the supporting beam in the extending direction of the supporting beam, and the supporting beam is rotationally connected with the movable cover through a second rotating shaft; the first driving part is used for driving the movable cover to rotate around the first rotating shaft to adjust the cutting depth; the second driving piece is used for driving the supporting beam to rotate around the second rotating shaft so as to adjust the cutting angle. The drag suction dredger comprises a dredger body, and the adjustable drag head device is arranged on the dredger body. The cutting depth and the cutting angle are accurately and flexibly adjusted through the first driving part and the second driving part respectively, so that the trailing suction dredger can adapt to different soil textures, and the efficiency and the quality of dredging operation are effectively improved.

The invention relates to the technical field of remote sensing data processing, and provides a soil humidity data missing filling method, which comprises the following steps: acquiring a soil humidity data sequence corresponding to ESA CCI soil humidity data to be filled, the multi-source soil humidity related data comprises surface temperature data, a normalized vegetation index, rainfall data, digital elevation model data, soil texture data, soil humidity reanalysis data and ground verification data. And inputting the soil humidity data sequence into a trained soil humidity data missing filling model to obtain a filling data result corresponding to the ESA CCI soil humidity data to be filled, the soil humidity data missing filling model being obtained by carrying out transfer learning training according to a pre-training set and a fine tuning training set. The soil humidity data missing filling model comprises a time convolutional network module, a bidirectional long short-term memory network module, a self-attention mechanism module and an output module.

The application discloses a comprehensive improvement method for coastal saline-alkali soil based on salt-tolerant superabsorbent resin, which comprises the following steps: (1) removing a 1.5m deep soil layer, laying grass support pads and gravel layers on the bottom to construct an isolation layer; (2) selecting specially designed water permeable bricks, filling the water permeable bricks with salt-tolerant superabsorbent resin to construct small salt isolation modules; (3) laying the small salt isolation modules on the isolation layer to construct a salt isolation layer; (4) wrapping the salt-tolerant superabsorbent spherical resin in a water-saturated state with pine needle soil, mixing the salt-tolerant superabsorbent spherical resin with leached saline-alkali soil, and backfilling the mixture to form a root water-retention layer above the salt isolation layer; and (5) preparing soil texture repair matrix blocks, mixing the soil texture repair matrix blocks with leached saline-alkali soil, and backfilling the mixture to construct a composite soil cultivation layer. The application can significantly improve the soil environment, improve the soil physical structure, and be beneficial to improving the agricultural productivity and the ecosystem function of the saline-alkali soil by constructing the salt isolation layer and the root water-retention layer and improving the structure of the soil cultivation layer.

This invention provides a method and system for calculating the liquid water content of permafrost in highland soil. [Solution] The method includes: step S1 acquiring a soil temperature and humidity observation network dataset from the central part of the plateau; step S2 performing texture classification on the soil to obtain soil texture classification results; step S3 combining the soil texture classification results and the soil temperature and humidity observation network dataset to fit the relationship between solid water content and soil temperature for soils with different textures; step S4 determining a formula for calculating the liquid water content of the soil based on the relationship between solid water content and soil temperature; step S5 improving the VIC model based on the formula for calculating the liquid water content; and step S6 calculating the liquid water content of the plateau permafrost using the improved VIC model.

The invention discloses a sinking method for layered uniform earth cutting and dynamic deviation correction of an open caisson, and relates to the technical field of sinking construction of open caiss.The sinking method for layered uniform earth cutting and dynamic deviation correction of the open caisson comprises the steps that earth cutting construction is conducted according to the soil texture type of a soil layer where the open caisson is located; in the soft soil layer, an in-well layered earth cutting mode is adopted, an earth embankment is reserved at the cutting edge of the open caisson, and the earth embankment is gradually flattened to enable the open caisson to sink; in the hard soil layer, a groove jumping method is adopted for earth cutting, firstly, the blade foot area of the open caisson is emptied in a segmented mode, gravel is backfilled, and finally the soil layer below the positioning bearing pad is excavated away; and in the sinking process of the open caisson, the inclination state of the open caisson is monitored in real time, and when it is detected that the posture of the open caisson is inclined, dynamic deviation correction operation is executed. According to the method, the soil texture type of the soil layer where the open caisson is located is systematically distinguished, differentiated earth cutting construction strategies are designed for the soft soil layer and the hard soil layer correspondingly, and the sinking process of the open caisson is accurately controlled in combination with collaborative application of real-time monitoring and a dynamic deviation correction mechanism.

The invention provides an unstructured road identification method and system suitable for an agricultural unmanned vehicle, a medium and a terminal, on one hand, the method does not depend on color threshold segmentation, is not limited by illumination and surface texture change any more, is suitable for scenes with dense trees on two sides of a road, can also adapt to tree-free open scenes, has a very strong generalization ability, and is suitable for popularization and application. The method does not need to depend on the weed coverage condition, color difference and other external characteristics of roads. And on the other hand, the method does not depend on artificial experience like a traditional machine learning technology, can well adapt to various farmland scenes, greatly increases the universality, and greatly improves the recognition rate in a large-range unstructured environment. And finally, large-scale accurate data labeling is not needed, and the generalization performance under different crop, soil texture and weather conditions is excellent. In short, the spatial perception precision can be improved; the influence caused by illumination is avoided; the method is suitable for scenes with many or no trees; the path is prevented from being identified only through trees; and the generalization ability is strong, and no requirement on road characteristics exists.

The utility model relates to the field of agricultural ploughing and seeding technology, and aims at providing a soil crushing equipment for agricultural ploughing and seeding, which comprises a protective shell, a driving assembly is arranged below the protective shell, a soil crushing assembly is arranged on the driving assembly, a supporting assembly is fixedly arranged on the outer wall of the protective shell, an auxiliary soil crushing assembly is arranged on the supporting assembly, a connecting assembly is fixedly arranged on the upper surface of the protective shell, the driving motor is a variable-speed motor, the rotating speed can be flexibly adjusted according to different soil textures and ploughing requirements, and the soil crushing adaptability is improved. The soil crushing assembly is fixed with a soil crushing knife through connecting bolts and soil crushing bolts, so that the replacement and maintenance are facilitated. The auxiliary soil crushing assembly further crushes the soil, and the soil crushing effect is improved. The connecting assembly is convenient for being connected with agricultural machinery, and the operation efficiency is improved. The overall structure is reasonable, the problems of low soil crushing efficiency, poor effect, inconvenience in maintenance and the like of the existing equipment are effectively solved, and the utility model helps the agricultural ploughing and seeding.

The present application relates to the technical field of shale gas drilling solid waste resource utilization, in particular to a method for improving water-based drilling cuttings by using rotten straw and artificial soil prepared by using the water-based drilling cuttings. The method for improving water-based drilling cuttings comprises the steps of leaching, sieving and mixing water-based drilling cuttings with sieved rotten straw, and can effectively improve the texture performance and physicochemical properties of water-based drilling cuttings, especially the soil cation exchange capacity and permeability, and can be used for treating water-based drilling cuttings generated in oil and gas exploitation. The method for improving water-based drilling cuttings can effectively overcome the problems of high cost, complicated operation, limited source of treatment agent and unsatisfactory improvement of soil texture performance in the prior art.

The invention relates to the technical field of red soil improvement, and discloses an organic material recommendation method based on red soil hardening reduction. The method comprises the steps that hardening index data and soil environment parameters of red soil are collected, the hardening index data comprise the soil hardness value and the permeability coefficient, and the soil environment parameters comprise the pH value, the organic matter content and the soil texture. The collected data are integrated to form a comprehensive data set, abnormal values and missing values are removed through quality verification to obtain clean soil data, then a hardening assessment algorithm is used for processing and calculating a hardening reduction priority score, a matching list is retrieved from an organic material knowledge base according to the score, and a matching result is obtained; and finally generating a report containing the recommended material name, the suggested application amount and the application opportunity. The method provides scientific guidance for red soil improvement, realizes accurate recommendation of organic materials, assists in improving the hardening condition of red soil, improves the rationality and benefits of agricultural production, and has important practical value in agricultural scenes in southern red soil regions.

The invention discloses a soft soil foundation settlement control method, which belongs to the technical field of water conservancy projects, and comprises the following steps: geological exploration, acquisition of soil body parameters and soil layer distribution, determination of a settlement maximum value according to an exploration report and a model test, reverse iteration calculation of an optimal wall depth based on S = f (H, Es, gamma, q), measurement of a setting-out fixed axis and a guide wall position, and construction of a guide wall control position and verticality. The separation wall is formed by segmenting the separation wall, injecting new slurry to replace slag-containing slurry and pouring concrete through a guide pipe method. Through the depth-settlement coupling model and the dynamic optimization design method, the depth of the isolation wall can be accurately calculated and optimized, foundation settlement can be effectively controlled, the influence of differential settlement on substation equipment is reduced, compared with a traditional settlement control method, unnecessary material consumption and construction cost are reduced, economical efficiency is improved, and the method is suitable for popularization and application. The method is suitable for transformer substation soft soil foundation settlement control under different soil texture and working conditions, and has high adaptability.

The application provides a rapid detection method and system for herbicide effective components based on near-infrared spectroscopy, which is applied to the field of agricultural detection technology, and the near-infrared spectroscopy data of a soil region to be detected, the water content and the compactness values reflecting the soil texture differences are obtained, based on the preset interval to which the water content value belongs, the corresponding preset scattering correction parameter is selected, the actual scattering correction parameter is calculated through the compactness value, the fine adjustment of the scattering correction parameter is realized, the quality and reliability of the spectral data are improved through spectral correction; the corrected spectrum is analyzed, and the real situation of the herbicide in the soil can be more accurately reflected. Therefore, the application effectively overcomes the interference of the complex soil texture in the field on the near-infrared spectroscopy herbicide detection, and realizes the beneficial effect of rapid and accurate detection of the herbicide effective components under the complex soil condition.

The application belongs to the technical field of intelligent soil monitoring, and particularly relates to a multi-sensor networking soil parameter high-precision detection device and method. The device adopts a four-layer architecture of sensing, transmission, data processing and application. The sensing layer collects soil texture, temperature and salt parameters, constructs an environmental interference factor matrix, and outputs non-interference data through a layered interference calibration model. The transmission layer completes data transmission in wired and wireless dual modes. The data processing layer extracts spatial and temporal characteristics after preprocessing, and obtains a soil parameter fusion value through dynamic weight fusion. The application layer matches the fusion value with a preset template, realizes scenario generation and visual rendering. The application can solve the problems of the existing multi-sensor networking system, such as easy influence of precision by external factors and insufficient intelligence.

The application discloses the technical field of agricultural drought monitoring and a kind of agricultural drought monitoring method based on multi-source soil moisture fusion, the method includes the following steps: obtaining active remote sensing soil moisture data, passive remote sensing soil moisture data and VIC model soil moisture data;Scale recalibration is carried out to active remote sensing soil moisture data and passive remote sensing soil moisture data by constructing cumulative distribution function;Multi-source soil moisture fusion is carried out using TC algorithm by season;Soil relative humidity index is calculated based on fusion soil moisture data and field water capacity data;Drought grade is determined based on soil relative humidity index and soil texture data.The application uses the mode of multi-source data fusion by season, not only solves the problem of insufficient monitoring depth and space-time discontinuity of remote sensing soil moisture, but also solves the problem of simulation deviation caused by irrigation influence of model soil moisture, and realizes the accurate monitoring of national scale agricultural drought.

The present application relates to the field of soil improvement, and discloses a method and system for improving the soil texture structure of clay reclamation paddy soil, comprising: obtaining aeolian sand and organic material, respectively performing material pretreatment to obtain qualified aeolian sand and qualified organic material; performing ploughing and loosening treatment on the soil of a target area to obtain clean soil after ploughing and loosening treatment; mixing the qualified aeolian sand, the qualified organic material and the clean soil to obtain mixed soil, and performing permeability evaluation and optimization on the mixed soil to obtain qualified mixed soil; laying a ploughed bottom layer on the qualified mixed soil, repeatedly performing flooding-drying cycle treatment on the ploughed bottom layer, and then laying a ploughing layer on the qualified mixed soil, and performing flatness adjustment and flatness optimization on the ploughing layer to realize improvement of the soil texture structure.The present application can effectively improve the structure of reclamation paddy soil, improve the soil permeability and fertility, and provide a good soil environment for the growth of rice.

The invention provides a multi-source sensor fused hydraulic grab bucket soil hardness control system and method, and relates to the technical field of intelligent control of ocean dredging equipment.The system comprises a data acquisition module, a feature fusion module and a decision module; the feature fusion module can calculate the hardness index of the soil texture of the dredged soil which is being excavated in real time according to the measurement data of each sensor, and the decision module is the center of the whole adaptive control system and can convert the soil texture hardness index generated by multi-source sensing fusion into an executable grab bucket control instruction. Through multi-sensor data fusion, seabed soil hardness is sensed in real time, grab bucket operation parameters (lowering speed, bucket opening and closing opportunity and lifting force) are dynamically adjusted, the problems of energy waste, low efficiency and equipment damage caused by artificial experience errors in traditional dredging are solved, and rock geology (gt; and high-efficiency and environment-friendly excavation under the pressure of 60 MPa is realized.

The present application relates to the technical field of pollution detection sampling, and particularly relates to a soil leachate collecting device, which comprises an outer pipe and an inner pipe, a sliding groove and an outer collecting hole are arranged on the inner wall of the outer pipe, a locking ring and a conical plug head are arranged on the end part, a sliding block is arranged on the outer wall of the inner pipe, collecting micropores are arranged on the side wall in a region, and the inner pipe and the outer pipe are in sliding fit, so that the moving path of the collecting micropores covers the outer collecting hole; a cavity is formed at the sliding groove and is connected with a negative pressure supply mechanism, and the inner pipe extends to the storage section of the outer pipe and is provided with a negative pressure control mechanism. Through the sliding of the inner pipe, the dynamic switching of the collecting channel is realized, the negative pressure control mechanism is automatically controlled, the micropore blockage is avoided, the sample fidelity is ensured, the modular and detachable design reduces the use cost, various soil textures are adapted, and the device is suitable for in-situ collection of soil leachate.

The invention discloses a construction method for treating underground water seepage through earth excavation of a water collecting pit of a deep foundation pit, and belongs to the technical field of deep foundation pit construction of constructional engineering. According to the method, a set of systematic solution is provided for solving the problems of soil collapse and difficult forming caused by high underground water level and large water volume in the excavation process of the sump; the method comprises the steps that preliminary excavation is conducted to judge the safety depth; steel pipe piles with the diameter of 48 mm and the interval of 300 mm are driven into the periphery of the water collecting pit to form a building envelope; cleaning soil in the pile, arranging a filter layer consisting of a green net and geotechnical cloth on the outer side of the steel pipe pile for retaining soil and filtering water, and arranging a water pump in the pit for draining water; fire-fighting sand bags filled with broken stones are arranged on the periphery along with the excavation process to block soil collapse; after the foundation is dug, gravel is laid or riprapped to extrude silt according to soil texture, and a dewatering well is additionally arranged if necessary. Underground water seepage and soil collapse are effectively treated, operation is easy and convenient, and the forming quality of the sump and smooth proceeding of follow-up cushion layer and waterproof construction are guaranteed.

The present application relates to the field of agricultural environment evaluation, in particular to a double cropping area crop rotation early warning system, and phosphorus is selected as the basis for indicating elements of rotation environment risk, the early warning system adopts a three-level index evaluation system, which is: annual phosphorus balance, soil texture, phosphorus fertilizer operation, according to the phosphorus surplus maintaining ability of different soil textures, the most suitable phosphorus balance of sandy soil, loamy soil and clay soil is respectively defined as 0.9-1.1, 0.8-1.2 and 0.7-1.3. The method of the present application is novel in design, and through a simple and scientific way, the double cropping area crop cultivation mode is warned, which is an evaluation tool for the influence of fertilization on the environment. It is convenient for users at different levels to select the best rotation mode.

The invention discloses an automatic flood control detection device applied to a river bank, and belongs to the technical field of flood control monitoring of hydraulic engineering, the device comprises a device body with a walking mechanism, the device body is internally provided with an automatic sampling unit, a navigation and communication module, a power supply and a data acquisition and analysis unit, and the bottom of the device body is provided with a sampling port; the walking mechanism is arranged at the bottom of the device body and adopts a crawler belt and Mecanum wheel mixed structure; the automatic sampling unit comprises a soil drilling assembly and a sampling assembly, the soil drilling assembly and the sampling assembly are mounted on the same rotating seat, and the rotating seat rotates to switch the soil drilling assembly and the sampling assembly to align to the sampling ports below; the data acquisition and analysis unit comprises an underground water detector, a pH detection module, a soil texture detection module and a data analysis system. According to the device, automatic sampling, real-time monitoring and risk early warning in the complex embankment environment can be achieved, and the flood control monitoring efficiency and the intelligent level are improved.

The utility model relates to the technical field of soil collection, in particular to a tool for collecting soil at roots of rhizome medicinal plants, which comprises a culture cylinder and a rotatable sampling cylinder on the outer side. The culture cylinder and the sampling cylinder are cylinders made of transparent acrylic materials, the inner diameter of the sampling cylinder is slightly larger than the outer diameter of the culture cylinder, and rotation is achieved through bearing connection. A plurality of strip-shaped bell-mouth-shaped sampling ports I are formed in the wall of the culture cylinder, and sampling ports II are formed in the corresponding positions of the sampling cylinder. During work, medicinal plants are planted in the culture cylinder, root growth can be guided through operation of the sampling ports during growth, the sampling ports are staggered to reduce external interference during non-collection, the culture cylinder is rotated during collection to enable the sampling ports to coincide or slide to form a channel, soil is collected through the scraper, and the design of the horn mouth can adapt to various soil textures and is convenient to operate. The transparent cylinder body facilitates observation of the root system and the sampling process, soil of different parts of the rhizosphere can be accurately collected, damage to the root system is reduced, the sampling quality and efficiency are effectively improved, and powerful support is provided for research of medicinal plants.

The utility model discloses an offshore pile sinking positioning re-checking monitoring device which comprises two laser RTKs and tripods, the laser RTKs are arranged on the tripods, the tripods are arranged on a pile driving barge, the angle formed between the two tripods and a pile body ranges from 60 degrees to 120 degrees, and the two laser RTKs are located in the same plane. Through the application of the offshore pile sinking positioning rechecking monitoring device, the pile tip elevation can be calculated in real time through the two laser RTKs, so that the pile driving hammering force is effectively guided, the pile tip is prevented from exceeding the designed elevation or penetrating through a preset soil texture structure, the stability and reliability of pile sinking are guaranteed, and the service life of the pile is prolonged. Extra cost caused by operation errors or penetration errors is reduced; in addition, the device can avoid the danger of manual operation, is suitable for different ship types, and has good universality.

The invention provides a Qinghai-Tibet Plateau frozen soil liquid state water content calculation method and system, and relates to the technical field of frozen soil water content calculation. The method comprises the following steps: collecting meteorological data including precipitation, temperature and evaporation evapotranspiration, and inputting the meteorological data into an improved VIC model to realize real-time calculation of a soil moisture dynamic equation. In the simulation process, the change of the liquid water content and the interaction of environmental factors are considered. And the calculation result is verified by analyzing model output, and the moisture distribution characteristics of the frozen soil region are deeply discussed, so that a scientific basis is provided for water resource management and ecological protection. The method solves the problem that the prior art lacks a refined relation between solid moisture content and temperature established based on an actual measurement observation network and soil texture classification, so that the liquid moisture content of frozen soil cannot be accurately calculated and an existing model cannot be effectively improved under the condition of the Qinghai-Tibet Plateau.

The application provides a RegCM model optimization method coupled with a WEDEM sand raising scheme, inherits original input variables of an original DEAD scheme of the RegCM model, and obtains newly added input variables obtained through soil texture classification mapping; a calculation kernel of the WEDEM sand raising scheme is used to replace a calculation kernel of an original DEAD scheme of a CLM4.5 sand dust release module in the RegCM model; the original input variables and the newly added input variables are jointly input into the calculation kernel of the WEDEM sand raising scheme, and effective sand raising area fractions, vertical sand dust fluxes in particle size intervals and total vertical sand dust fluxes are output under the condition of keeping consistent with an output interface of the original DEAD scheme. The scheme improves the simulation precision of sand dust release, reduces the uncertainty of the model, has good scalability, and is suitable for various application scenarios such as arid region soil wind erosion-sand dust release risk assessment and wind prevention and sand fixation engineering benefit assessment.