496 results about "Soil horizon" patented technology

The invention discloses a standard soil layer sequence division method for foundation soil. The method comprises the following steps: generating a unified engineering geologic feature data set; forming a multi-dimensional engineering geologic feature sample set; obtaining parameters of the trained improved ultra-dense connection neural network model; obtaining an initial drilling sequence prediction result; encoding the initial drilling sequence prediction result into a drilling sequence embedding vector according to a drilling sequence, and generating a cross-drilling sequence alignment matrix; and generating a standard soil layer code and corresponding confidence information to obtain a standard sequence division result. According to the invention, full-process automatic integration of design, modeling and construction is supported, and consistency, rechecking performance and digital management capability in engineering application are improved.

The invention discloses an AI and algorithm fused intelligent geological layering system and method for geotechnical engineering investigation, and the method comprises the steps: data importing and preprocessing, data verification and gross error elimination, automatic classification of related / non-related variables, cleaning and iterative updating of layer mean values and boundaries, and hierarchical division. According to the method, the data is automatically cleaned, the layer group is verified, the main layer / sub-layer / sub-layer / interbed is divided, the layering accuracy and efficiency are improved, the artificial intelligence technology is applied, and the layering efficiency is improved. Technicians are replaced to complete the heavy work flow of drawing grass sections, manually layering, inputting soil layer information into a computer, manually judging the rationality of in-situ test, geotechnical and rock test data and layering, modifying sketches, secondarily proofreading the rationality of results and completing division, and the exploration efficiency is improved.

The invention discloses a slope soil layer drilling device, and relates to the field of soil layer drilling, the slope soil layer drilling device comprises a drilling guide sleeve for a drill rod to rotatably and movably pass through, and the outer wall of the drilling guide sleeve is connected with a limiting mechanism for limiting and supporting the drilling guide sleeve in a drill hole; a fine adjustment deviation rectifying mechanism is movably arranged below the limiting mechanism; the limiting mechanism is used for being supported in a drill hole, and the fine adjustment deviation rectifying mechanism is used for conducting fine adjustment deviation rectifying and reducing the risk of hole inclining and the like. When the drilling device is used, a certain supporting effect can be achieved on the side wall of a drilled hole, disturbance of a drill bit on the periphery of the soil body of the drilled hole in the drilling process is reduced, the risk of hole collapse is reduced, deviation correction adjustment is conducted in the drilling process, unqualified holes such as inclined holes are avoided, and the construction quality is guaranteed; and the drilling device is convenient to mount and dismount, and can further guarantee the construction period and quality and save the construction cost in the construction of soil bodies with uneven geology such as slopes.

The invention belongs to the technical field of foundation settlement monitoring, and discloses a layered monitoring device and method for deep foundation settlement, a combined system of springs and steel strings is innovatively adopted, the measuring range and the application range of a vibrating wire type monitoring structure are expanded, and checking calculation results show that the vibrating wire type monitoring structure can meet the requirement for foundation deformation monitoring; a hard plastic anchoring plate is adopted, traditional point contact anchoring is converted into a surface bearing mode, it is ensured that the device and a soil layer are integrally solidified and synchronously settled through backfill soil pressure, mechanical transmission errors caused by indirect measurement are effectively eliminated, and the physical authenticity and precision of monitoring data are remarkably improved; the vibration excitation and vibration pick-up integrated module is used for converting tiny deformation into high-stability frequency signals with high anti-interference capacity, dependence on manual on-site reading is eliminated, and all-weather and unattended automatic real-time monitoring of foundation settlement is achieved.

The invention provides a physical information long-short-term memory network site seismic response prediction method based on kinematics derivative constraint and data folding. The method comprises the following steps: collecting and preprocessing bedrock and ground surface seismic oscillation data; displacement, speed and acceleration supervision labels are constructed through surface acceleration integration; constructing a long-short-term memory network containing a data folding and unfolding module; physical constraint loss is constructed by utilizing kinematics derivative relations between displacement and speed and between speed and acceleration, and a network is trained by combining an adaptive weight strategy; and outputting earth surface displacement, speed and acceleration time history by adopting the trained network. According to the method, under the condition that constitutive parameters of a soil layer are not explicitly given, physical consistency constraint can be applied to the field seismic response prediction process, the long-time program train training burden is reduced through sequence folding processing, and the method is suitable for field seismic response prediction.

The invention relates to the technical field of soil profile recognition, in particular to a soil profile recognition method and system based on multi-source information fusion and artificial intelligence. Synchronously acquiring image data, physicochemical property sequence data and mechanical resistance sequence data of a field soil profile through a data acquisition assembly; performing data preprocessing and spatial registration on the data; extracting visual features of the image and sequence features of the sensor data, and then performing feature level fusion to form a multi-source fusion feature vector; inputting into a pre-trained soil layer identification model to obtain soil profile layering result information; according to the scheme, the reference image data, the physicochemical property sequence data and the mechanical resistance sequence data are fused, unified decision making is carried out through the soil layer recognition model, the problems that a traditional method is high in subjectivity and low in efficiency are solved, objective, efficient and accurate layered recognition of the soil profile is achieved, and the accuracy of layered recognition of the soil profile is improved. And the digitization and standardization process of soil investigation is powerfully promoted.

The invention provides a coastal area foundation pit dewatering system and method, and belongs to the technical field of foundation pit dewatering, the coastal area foundation pit dewatering system comprises a foundation pit, a plurality of light well points, a deep tube well and an electroosmosis auxiliary module, and the light well points are annularly arranged in a shallow layer area on the periphery of the foundation pit; the deep tube well extends to a deep area from the ground; and a plurality of electro-osmosis auxiliary modules are arranged in the peripheral clay layer area of the foundation pit. The annularly-arranged light well points evenly intercept shallow underground water around the foundation pit, the deep pipe wells can rapidly reduce the deep underground water level, and the drainage problem of a low-permeability clay layer area is effectively solved through the synergistic effect of the arranged electro-osmosis auxiliary modules and the well points / pipe wells; the synchronous precipitation uniformity of the complex soil layer is improved, layered targeted precipitation design is adopted in a shallow area, a deep area and a clay layer area, and the overall precipitation efficiency is improved. According to the foundation pit dewatering system in the coastal area, the problem that in the prior art, in the environment with complex hydrogeological conditions, the dewatering efficiency of a single dewatering measure is low is solved.

The invention discloses a response test method and device for soil layer deformation and tunnel stress in foundation pit excavation, and relates to the technical field of underground engineering tests. The method comprises the following steps: acquiring engineering geology and tunnel structure parameters, and constructing a geological tunnel coupling similarity model embedded with a layered sensing array; step-by-step excavation is adopted to simulate foundation pit construction, and soil layer displacement strain, tunnel stress contact pressure and excavation disturbance parameters are synchronously collected through multiple channels; constructing a deformation stress coupling prediction model and an excavation disturbance quantification model; and constructing a dynamic coupling response model based on the two, and outputting a dynamic coupling curve of soil layer deformation and tunnel stress. The device comprises a model box body, a data processing host and a display terminal, a layered sensing array, a dynamic loading device, a servo excavation mechanism and a multi-channel data acquisition instrument are arranged in the box body, and the whole test process integrated operation can be realized. According to the method, the dynamic coupling rule can be accurately captured, and technical support is provided for safety assessment and parameter optimization of underground engineering construction.

The invention discloses a rock and soil medium parameter testing and reinforcing method which comprises the following steps: step 1, arranging a plurality of in-situ testing holes and object detection lines on a side slope, a foundation or a filling site, and performing in-situ tests and geophysical prospecting tests, including in-situ drilling shear tests, penetration tests and pore pressure observation, the mechanical property, the permeability characteristic and the pore water pressure parameter of the soil layer are obtained; 2, according to the obtained soil layer parameters, the needed initial grouting pressure, flow and slurry concentration are calculated; 3, grouting equipment is used for injecting grout into the soil layer, and the deformation amount, the pressure change and the permeability change of the soil layer are monitored in the grouting process; 4, according to data monitored in real time, the grouting pressure and flow are adjusted so as to ensure the grouting uniformity and the reinforcing effect, compared with a traditional empirical grouting method, the method has the advantages that the reinforcing uniformity and the anti-seepage effect can be remarkably improved, energy consumption and risks are reduced, and good universality and engineering application value are achieved.

The invention discloses a static sounding intelligent monitoring and risk early warning system based on the Internet of Things, which is characterized in that when static sounding equipment executes investigation operation, data is collected in real time through an Internet of Things module, and a probe is maintained to penetrate according to a design track based on regulation and control parameters, and specifically, a three-dimensional coordinate system is established in a space where an investigation site is located; data are collected based on the three-dimensional coordinate system and the Internet of Things, and the track boundary and the penetration speed of the static sounding probe are calculated; and obtaining a design depth reference point of the exploration area. Relates to the technical field of geotechnical engineering investigation. Second-level acquisition and transmission of probe tracks, soil layer parameters and attitude angles are achieved through the Internet of Things module, the problem of data lag of traditional exploration is solved, and soil layer sudden change and probe offset can be captured in real time. The trajectory boundary is modeled based on the three-dimensional coordinate system, and the soil layer layering mutation degree and the probe attitude are cooperatively regulated and controlled, so that data distortion caused by probe offset and parameter abnormality is reduced, and the exploration precision is improved.

A method for seismic fragility analysis of a shield tunnel considering surface surcharge effects includes the steps of: determining mechanical property parameters of tunnel materials and physical-mechanical parameters of soil layers; investigating case studies of surface surcharge to define surface surcharge scenarios; selecting seismic waves and performing one-dimensional equivalent linear site response analysis on soil conditions; establishing a dynamic finite element numerical model of a soil-tunnel system considering surface surcharge; defining ground motion intensity measures (IM), tunnel damage measures (DM), and damage states (DS); and establishing probabilistic seismic demand models for the tunnel under various surface surcharge effects. Based on key parameters, seismic fragility curves for tunnel structures under surface surcharge effects are established. Through a nonlinear incremental dynamic analysis method, this method establishes the finite element numerical model of the soil-tunnel system, allowing for quantitative assessment of tunnel seismic fragility and seismic performance under various surface surcharge effects.

The invention relates to the technical field of data processing, and discloses a method for accurately predicting the concrete dosage of a cast-in-place pile in foundation pit engineering. The method comprises the following steps: collecting the pore-forming arrival time of each depth section of an initial calibration pile group, the soil layer type, the slurry density and the actual concrete dosage to establish a database, calculating the exposure duration of a hole wall, and establishing a pore diameter expansion coefficient time sequence evolution relationship of soil layer classification through power function fitting; and obtaining the soil layer type of each depth section of the to-be-predicted pile and the estimated exposure duration, substituting into the evolution relationship, and accumulating to obtain the total predicted concrete dosage. According to the method, the soil layer classification time sequence evolution relation of the hole diameter expansion coefficient along with the hole wall exposure duration is established, and the mud density correction term and the dynamic parameter updating mechanism are introduced; the technical problems that an existing cast-in-place pile concrete dosage prediction method cannot accurately reflect the hole wall state time-varying characteristic, ignores the soil layer differential response rule and lacks the construction process self-adaptive calibration capacity are solved.

The invention discloses a pile-soil coupling loss prediction method based on soil layer quantification and a neural network. The method comprises the following steps: firstly, through parameterized finite element-infinite element coupling numerical simulation, extracting a pile-soil coupling loss quantitative index-transfer function amplitude ratio; converting the multi-layer soil body distribution information into standardized soil layer distribution characteristic parameters through a normalized coordinate system; then, a neural network model is constructed, pile body parameters, load parameters, characteristic frequency points and soil layer distribution characteristic parameters serve as input, and a transfer function amplitude ratio serves as an output target for training; and finally, rapid and accurate prediction of the pile-soil coupling loss is realized through the trained model. According to the method, effective quantification of complex soil layer space distribution is innovatively realized, and the problems of insufficient precision and low efficiency of a traditional method in pile-soil dynamic coupling loss prediction are solved.

Disclosed is a method for assessing nitrogen leaching risk based on farmland soil pressure, including the following steps: acquiring soil drilling pressure data from a plurality of soil layers of different depths on soil to be tested using a soil drilling device, to obtain raw soil drilling pressure data; comparing a calibration curve with a raw soil drilling pressure curve; setting an interquartile range (IQR) coefficient based on a first fluctuation factor and a second fluctuation factor, and constructing a box plot of the raw soil drilling pressure data based on the IQR coefficient; and determining a peak soil drilling pressure according to the box plot of the raw soil drilling pressure data, and determining nitrogen leaching risk according to a depth interval of soil layer. The box plot is utilized to filter out abnormal values, ensuring the accuracy of assessing the nitrogen leaching risk in soil.

The invention relates to a depth operator digital intelligent model-based soft foundation consolidation degree rapid deduction method, which comprises the following steps of: obtaining soil layer thickness, layered structure, consolidation coefficient of each layer and drainage boundary condition of a soft soil foundation, and carrying out dimensionless processing on physical depth and physical time; generating a dimensionless consolidation coefficient field sample which changes along with the dimensionless depth, and dispersing the dimensionless consolidation coefficient field sample at a plurality of fixed depth positions; inputting the dimensionless time-depth coordinate into a backbone network of the physical information-depth operator network, inputting the consolidation coefficient discrete vector and the soil layer distribution parameter into a branch network of the physical information-depth operator network, and fusing the output of the backbone network and the output of the branch network to obtain an estimated value of the dimensionless hyperstatic pore water pressure; and training the physical information-depth operator network based on the physical information loss function to obtain a soft soil foundation consolidation prediction model. According to the method, rapid and accurate deduction of the consolidation process can be realized.

The invention discloses a membrane bag sand levee slope settlement prediction method and system based on a neural network, and belongs to the technical field of prediction systems.The method comprises the steps that construction parameters, foundation monitoring data and geological exploration data of a membrane bag sand levee slope are obtained; performing feature fusion by analyzing correlation between the construction parameters and the compression amount of each foundation soil layer in the time dimension and between the foundation monitoring data and the compression amount of each foundation soil layer to obtain fusion time sequence features; and on the basis of the geological exploration data, using a settlement prediction model and fusion time sequence characteristics, predicting each compression amount by analyzing the pore drainage rate of each foundation soil layer, outputting a settlement prediction result of the membrane bag sand bank slope, identifying the settlement abnormal risk of the membrane bag sand bank slope, and outputting the settlement risk grade of a preset construction point. Therefore, by implementing the method and the device, the problem that the predicted total settlement amount of the film bag sand bank slope is not accurate enough due to the fact that the influence of the bank slope foundation structure on the settlement amount in the construction process is not completely considered in the prior art can be solved.

The application relates to the technical field of composite foundation bearing capacity, and discloses a multilayer composite foundation bearing capacity detection device and a detection method thereof. The device comprises a sensor array module, a data processing module, a bearing capacity analysis module, a calibration output module, a communication module and a user interface module. Static force parameters of the foundation are collected through a static sounding sensor, dynamic parameters of the foundation are collected through a dynamic sounding sensor, and deformation parameters of the foundation are collected through a fiber grating sensor, so that integrated collection of multi-source static and dynamic parameter data is realized. Meanwhile, a wavelet transform algorithm is used for noise filtering, and a K nearest neighbor interpolation algorithm is used for data filling, so that standardized foundation parameter data is generated, the consistency and accuracy of data preprocessing are ensured, and the soil layer is intelligently identified and hierarchically divided through K-means clustering algorithm-based foundation hierarchical division processing of the standardized foundation parameter data.

The invention discloses a photovoltaic construction site sensor mounting method, which comprises the following steps that a soil sensor fixedly mounted on a telescopic head of a telescopic A extends into a soil layer, a fixed end of the telescopic A is rotatably mounted on a photovoltaic bracket, and a stretching head of a telescopic piece A and a stretching head of a telescopic piece B are in a maximum stretching state at the moment. When snow-melting flood needs to pass through a soil layer of a beach environment, the telescopic end of the telescopic part A retracts firstly, the soil sensor is vertically lifted to be separated from the soil layer, then the telescopic part B retracts, the telescopic part A is pulled to be rotationally folded on the photovoltaic support, and the soil sensor is placed on the photovoltaic support spaced from the ground after being separated from the soil layer. The problem that when a sensor is buried in a soil layer in a beach environment with snow-melting flood, the sensor is prone to being impacted and damaged by the snow-melting flood is solved.

The application discloses a kind of geotechnical medium parameter test and reinforcement method, contain following steps, step 1: multiple in-situ test holes and geophysical prospecting test lines are laid in slope, foundation or filling site, in-situ test and geophysical prospecting test are carried out, including in-situ borehole shear test, permeability test and pore pressure observation, to obtain the mechanical properties of soil layer, permeability and pore water pressure parameter;Step 2: according to the obtained soil layer parameter, the initial pressure, flow and slurry concentration required for grouting are calculated;Step 3: using grouting equipment, slurry is injected into soil layer, and the deformation of soil layer, pressure change and permeability change are monitored during grouting process;Step 4: according to the real-time monitoring data, adjust the grouting pressure and flow, to ensure the uniformity of grouting and reinforcement effect, compared with traditional empirical grouting method, the application can significantly improve the uniformity of reinforcement and anti-seepage effect, reduce energy consumption and risk, with good universality and engineering application value.

The invention provides a device and a method for testing a local scouring model below a pipeline. The device comprises an organic glass plate cuboid model box, a cover plate, a limiting plate, a rubber ring, the pipeline, a side baffle, a water tank A, a water tank B, a deposition tank, a balance, a computer and a camera. Through collaborative design of a limiting plate and a cover plate, water flow only acts on a contact interface between the lower portion of the pipeline and a soil layer, disturbance of an upper streaming vortex-induced effect is effectively avoided, and precise simulation of local scouring below the pipeline is achieved; a water flow pipe winding phenomenon, a sediment migration and deposition process and pit flushing time evolution are observed in real time by virtue of a camera, and an evolution process of initial micro-pit formation, pit body expansion, gap generation, gap extension and pit flushing form stability is completely captured in combination with quantitative weighing of a balance and a computer; and accurate test data and theoretical support are provided for the anti-scouring design of the pipeline foundation.

The present application relates to geological survey technical field, specifically be a kind of geotechnical engineering geological survey with drilling rig, including base, the lifting assembly is on, the bracket is connected with driving assembly, the bracket is rotatably connected with sampling mechanism, when geological survey, driving assembly and sampling mechanism are moved up and down together by lifting assembly, simultaneously driving assembly works, drives drilling assembly to sample geology, drilling assembly enters different soil layer, and the resistance it receives is different, so in the case of entering different soil layer, the speed of centrifugal swing assembly rotation is different, when the speed of rotation changes, the distance of crosswise movement of top rod assembly also changes, so that drilling assembly samples two adjacent soil layers, for example, when drill bit drills into hard or soft soil layer, sampling tube is automatically switched collection point by conical block, ensure the representativeness and integrity of sample. In prior art, sampling interruption or interlayer contamination problem is effectively solved.

The invention relates to the technical field of sampling, in particular to a soil stratified sampling device which comprises a drill rod, a storage container and a rotor wing, the drill rod can rotate around the axis of the drill rod, the storage container is embedded in the drill rod, the rotor wing is rotationally arranged on the drill rod, and a sampling channel capable of being communicated with the storage container is formed in the side, away from the rotating point of the rotor wing, of the rotor wing. In the sampling state, the rotor wings are rotationally screwed out from the interior of the drill rod, so that the sampling channel is communicated with the storage container, and in the drilling state, the rotor wings are rotationally screwed into the drill rod. The rotary wing is arranged, after the rotary wing is rotationally screwed out of the interior of the drill rod, the sampling channel on the rotary wing is located in the target soil layer and located at the position far away from the drill rod, and at the moment, soil around the sampling channel is not prone to being squeezed by the drill rod from top to bottom, so that upper-layer soil and lower-layer soil are not prone to being staggered; therefore, the soil sampling accuracy of the sampler is improved.

The application belongs to the technical field of pipe jacking construction, and particularly relates to a monitoring device for ground deformation caused by pipe jacking construction, which comprises a starting well, a cutterhead assembly, a pipe jacking mechanism and a plurality of prefabricated pipe sections, the prefabricated pipe sections are arranged between the cutterhead assembly and the pipe jacking mechanism, and a monitoring pipe section is installed in series between the prefabricated pipe sections. The application can perform follow-up settlement monitoring along with the pipe jacking construction, can timely predict the deformation phenomenon of the ground caused by settlement, can assist in improving the stability of the soil layer, can reduce the possibility of ground deformation, has a large monitoring coverage range, high flexibility, reduces the limitations of ground deformation monitoring, has low construction difficulty, can simulate the detection of the friction force of the soil layer after tunneling, is beneficial to timely adjusting the jacking pressure of the prefabricated pipe section, and can perform long-term settlement monitoring of the soil layer after the burying of the prefabricated pipe section is completed.

The invention relates to the technical field of dam foundation treatment, and discloses a low-liquid-limit clay dam foundation soil body excavation tedding thickness calculation method, which comprises the following steps: firstly, collecting an undisturbed soil sample and a disturbed soil sample, and obtaining physical and mechanical parameters through an indoor test; performing a light compaction test by using the disturbed soil sample, and calculating a first soil layer compaction coefficient according to the height change before and after compaction; an indoor dynamic compaction physical model meeting the similarity criterion is constructed based on the white Jinhan Pi theorem, the conversion relation between model compaction energy and on-site compaction energy is deduced through a geometric similarity coefficient, a time similarity coefficient and a quality similarity coefficient, and a second soil layer compaction coefficient is measured; and the maximum value of the two compaction coefficients is taken as a final calculation parameter, and the excavation tedding thickness is calculated in combination with the design thickness of the dam foundation bearing stratum. According to the method, the indoor test is used for replacing field trial compaction, so that the test cost is reduced, two measurement schemes of a compression modulus method and an accumulated compaction settlement method are provided, and the calculation result is more in line with engineering practice.

The invention relates to a defect diagnosis method and system based on power transmission cable sheath analysis and a storage medium. The method comprises the following steps: acquiring a soil layer condition of a buried position of a corresponding cable, a cable condition and a power transmission condition of the corresponding cable; based on the cable condition and the power transmission condition of the corresponding cable, carrying out cable skin stretching fluctuation analysis; based on the cable skin stretching fluctuation analysis result, the soil layer condition of the buried position and the cable condition, the cable surface friction damage is analyzed; buried sheath defect prediction is carried out based on a cable surface friction damage analysis result; and performing cable sheath defect early warning at the corresponding position based on a buried sheath defect result obtained by prediction. Compared with the prior art, the method has the advantages that comprehensive reciprocating friction damage defect prediction of the cable skin condition and various soil surfaces is carried out based on various factors, so that the fault of the abnormal position of the cable skin is predicted and positioned, and accurate prediction and active protection of the friction damage of the underground cable sheath are realized.

The invention relates to the technical field of foundation and foundation engineering construction, and discloses a hole wall stability dynamic control system in the tidal formation drilling process, and the system comprises a multi-source dynamic sensing module which is used for obtaining the multi-dimensional data of the drilling pressure, the tidal water level, the displacement of the soil layer around the hole and the like in real time; the data processing and intelligent decision-making module is used for receiving the sensing data and carrying out analysis and prediction through a built-in dynamic mapping and self-calibration model so as to generate a prospective hole wall stability control instruction; and the cooperative control and planning execution module is used for receiving the control instruction and analyzing the control instruction into a cooperative adjustment action on wall protection and drilling parameters, so that accurate and closed-loop dynamic control is executed on the stability of the hole wall. According to the method, through multi-source sensing, self-calibration model prediction and collaborative planning control, prospective and self-adaptive fine adjustment of the hole wall stability is achieved, and the drilling safety is improved.

The utility model discloses a soil layer thickness measuring device for geological exploration, which comprises a base, a measuring cylinder is arranged at the top of the base, a measuring column is arranged in the measuring cylinder in a sliding manner, horizontal adjusting parts are arranged on the base and positioned on the periphery of the measuring cylinder in a penetrating manner, and sliding columns are arranged in the horizontal adjusting parts in a sliding manner. Locking structures are arranged on the two sides of the base in a penetrating mode, penetrating pieces are arranged at the lower ends of the locking structures and used for stable connection of the thickness measuring device and a soil layer, the horizontal adjusting piece comprises a sliding base penetrating through the base, the upper end of a sliding column is sleeved with an upper spring, and the lower end of the sliding column is sleeved with a lower spring. The upper spring and the lower spring are both sleeved with rubber sleeves connected with the sliding base, the lower spring can penetrate through the sliding base, and a wind speed sensor is arranged on the sliding column. The base of the soil layer thickness measuring device can be stably attached to the ground, manual operation steps are few, and use is convenient.

The application discloses a soil layer moisture content real-time discrimination and regulation powder jet pile drill bit and a powder jet pile construction method, and relates to the technical field of geotechnical engineering. The drill bit comprises a drill rod, a plurality of moisture content detection units, a processor and the like. The rod wall of the drill rod is provided with a plurality of stirring blades. The plurality of moisture content detection units are arranged at different height positions of the drill rod and are used for detecting the moisture content of soil layers at different depths in real time. The upper rod wall of the drill rod is provided with a water injection port, and the lower rod wall is provided with a dust injection port. The processor is connected with the moisture content detection unit in signal and is used for adjusting the water injection pressure and the dust injection pressure according to the measured moisture content. The application can realize the moisture content regulation in the powder jet pile construction process, ensure the strength of the pile body of the powder jet pile in the soil layer with low natural moisture content, and has important significance for improving the construction quality of the powder jet pile and expanding the application range of the powder jet pile.

The utility model relates to the field of oil exploitation, and particularly discloses a soil layer sampling device for oil exploitation, which comprises a guide head, a vertical beam is arranged at the upper end of the guide head, a cross beam is arranged at the top of the vertical beam, a lifting lug is arranged at the top of the cross beam, and a main shaft is rotatably connected between the cross beam and the guide head. A motor for driving the main shaft is arranged on the vertical beam; a sampling mechanism is arranged between the cross beam and the guide head and comprises a supporting plate, a worm, a worm gear and a material receiving box, the supporting plate is fixedly connected with the vertical beam, the worm is rotationally connected to the supporting plate, a drill bit is arranged at one end of the worm, the other end of the worm is in threaded connection with a sliding block, and the sliding block is in sliding connection with the supporting plate; the worm gear is installed on the main shaft and meshed with the worm, and the material receiving box is connected to the lower portion of the supporting plate in a sliding mode. When the drill bit is used for drilling and sampling, axial supporting force can be generated on the drill bit, so that the drill bit is convenient to drill and sample.

The invention belongs to the technical field of constructional engineering, and particularly relates to a basement bottom plate partitioned water filtering channel performance evaluation method. The method comprises the following steps: firstly, based on geological conditions of a target project and basement structure parameters, establishing a three-dimensional seepage geometric model comprising a basement bottom plate and a surrounding soil layer; then, corresponding hydraulic parameters are given to all soil layer materials and water filtering channel materials in the model; then, setting at least two calculation working conditions and carrying out steady-state seepage calculation under different underground water level conditions; and finally, comparing and analyzing the evaluation indexes of different working conditions, evaluating the performance advantages of the partitioned water filtering channel compared with a traditional drainage mode, and carrying out parameter sensitivity analysis and parameter selection. According to the method, the drainage performance of the basement bottom plate can be remarkably improved, the maximum pore water pressure below the bottom plate is reduced, the average seepage speed is increased, the drainage efficiency is improved, and scientific basis and technical support are provided for waterproof drainage design of the basement.