274 results about "Survey line" patented technology

The invention discloses a data processing method and system for micro-motion detection array station distribution, and relates to the technical field of micro-motion detection, and the method comprises the steps: according to the actually measured starting point coordinates and the azimuth angle of a measuring line, setting the measuring point distance, and the radius and number of nested triangle circumcircles, generating field station coordinates in batches; collecting and preprocessing station waveform data; calculating a spatial autocorrelation coefficient of any center station and a non-center station; dBSCAN clustering is carried out based on the station distance; performing spatial averaging on the spatial autocorrelation coefficient according to a clustering result; fitting the averaged spatial autocorrelation coefficient and a zero-order Bessel function to obtain a frequency dispersion spectrum, picking up a surface wave phase velocity in the frequency dispersion spectrum, and calculating an apparent shear wave velocity; inverting the shear wave velocity of the waveform data by adopting a self-adaptive gradient inversion strategy; and generating a velocity comprehensive profile of a depth domain and a frequency domain according to the surface wave phase velocity, the apparent shear wave velocity and the inverted shear wave velocity. The invention provides a new method for station distribution to data processing for micro-motion detection.

The invention discloses a soil pollution accurate positioning method based on a geophysical exploration technology. The method comprises the following steps: S1, analyzing geologic features of a research area: analyzing the geologic features of the research area; s2, constructing a geological model; s3, measuring line arrangement and data acquisition; s4, data processing: obtaining a two-dimensional resistivity and polarizability image and an internal structure image of ground penetrating radar data by adopting least square inversion, training an anomalous body recognition model by utilizing a convolutional neural network, automatically recognizing anomalous body features in ERT and GPR data, and automatically screening out potential pollution areas; s5, data explanation: performing comprehensive analysis on inversion results of ERT and GPR, constructing an intelligent explanation model, automatically adjusting explanation parameters by the intelligent explanation model according to data features, and providing a plurality of explanation schemes; and S6, establishing a three-dimensional electrical structure model: establishing the three-dimensional electrical structure model of the research area by adopting a Kriging interpolation method according to the ERT inversion result and the earth surface coordinate data.

The invention relates to the technical field of concrete defect detection and data processing, in particular to a high-precision concrete defect detection data processing method and terminal, and the method comprises the steps: collecting the original data of a detected work area along a detection line; establishing a wavelet model based on the original data, and calculating a received signal through a reflection coefficient and a wavelet; preprocessing the received signal to obtain a preprocessed signal; converting the pre-processed signal into a time-frequency domain signal through improved S transformation, extracting a main frequency signal, and performing interpolation processing on the main frequency signal along a measuring line; converting a time sequence of the original data into a depth sequence through time-depth conversion, and generating a depth detection map through mapping of the depth sequence and the dominant frequency signal; according to the invention, the time-frequency analysis method is adopted to obtain the time-frequency spectrum of the collected signal, more abundant defect detection information is provided, and the problems that the traditional impact echo processing method only judges defects through dominant frequency translation, seriously depends on the working experience of field personnel and is not strong in underlying logic are solved.

The invention provides a multi-frequency ground penetrating radar data fusion method based on deep learning. The multi-frequency ground penetrating radar data fusion method comprises the following steps: acquiring multi-frequency ground penetrating radar data by using different center frequency ground penetrating radar devices under the same survey line; performing data preprocessing operation on the acquired multi-frequency ground penetrating radar data; constructing a deep learning model for fusing the multi-frequency ground penetrating radar data, and inputting the multi-frequency data fusion into the fusion model to realize multi-frequency radar data fusion; designing an unsupervised loss function, and training a deep learning model based on the data; and integrating the trained deep learning fusion model into a ground penetrating radar data acquisition system to realize real-time data fusion and processing. Compared with the prior art, the method can integrate the complementary characteristics of the original signals of the multi-frequency radar, and overcomes the limitation and difference of single-frequency data.

The invention discloses a structural plane network sequence modeling method and system suitable for layered rock mass, and relates to the technical field of rock mass engineering, and the method comprises the steps: obtaining layered rock mass outcrop data as basic data, and obtaining basic data interpretation representation after processing; determining a rock mass outcrop homogeneous region division result according to the type attribute of the basic data; according to the interpreted occurrence data in combination with a rock mass outcrop homogeneous region division result, correcting the occurrence data in each homogeneous region by using a weighting function, and grouping the structural surfaces by using a K-mean particle swarm algorithm to obtain grouped structural surfaces; determining the density of the distribution space of each group of structural surfaces according to the spacing, occurrence, size and survey line trend data of each group of structural surfaces; determining the position and size of a layer in the layer structure space according to the determined distribution position of the structural surface; and randomly combining parameters of each group of structural surfaces, and constructing a stratified rock mass structure spatial network model in combination with sequence modeling and Monte Carlo simulation methods.

The invention relates to the technical field of oil-gas exploration and development, in particular to a block formation pressure prediction system and method based on three-dimensional seismic information. Comprising a data acquisition module, a depth domain conversion module, a three-dimensional grid chemical engineering area modeling module, a dynamic lithology quantity version generation module, a thinning survey line compaction modeling module, a three-dimensional pressure field calculation module and a dynamic regulation and control module. The global space coverage is realized by constructing a three-dimensional grid model with a well position mark, and the limitation of two-dimensional data is eliminated; pure mudstone node data is processed by adopting a thinning measuring line strategy controlled by structural features, so that the calculation load is remarkably reduced; a reliable data source is screened based on a dynamic lithology probability threshold, and the pressure prediction precision is improved in combination with a sandstone region lithology correction coefficient; the prediction result is verified in a closed-loop mode through the real-time drilling DC index, and a control instruction is triggered. According to the method, the technical bottlenecks of insufficient space coverage, low calculation efficiency and large prediction deviation of the complex geological structure area are effectively solved.

The invention belongs to the technical field of geological engineering construction, and discloses a method and device for measuring the joint fissure connectivity rate of a tunnel surrounding rock tunnel face and a storage medium. The problems that in the prior art, a joint fissure recognition technology based on image processing is low in joint fissure recognition accuracy and analysis efficiency, the fissure connectivity rate cannot be accurately calculated, and automatic and standardized processes are lacked are solved. According to the scheme, firstly, a tunnel face image is segmented, and a tunnel face area image is extracted and preprocessed; dividing the preprocessed tunnel face area image, extracting fractures, and splicing the extracted fractures into a complete tunnel face joint fracture image according to a topological relation; then, carrying out vector measurement on fractures in the tunnel face joint fissure graph, grouping the fractures according to inclination angles through a clustering algorithm, and removing interference fractures; and finally, by setting a virtual measuring line and adopting a shortest path method, calculating the fracture connectivity rate on the strip where the virtual measuring line is located under the condition of different strip widths.

The disclosure provides a method and device for velocity tomography imaging of seabed shallow media, and electronic equipment. The method includes performing multichannel analyses of Guided-P and Scholte waves on seabed multi-component seismic gathers to determine measured multi-order dispersion curves of the two waves; based on a first seabed shallow media model and a theoretical dispersion equation of Guided-P wave, performing joint inversion of multi-order dispersion curves of Guided-P wave to iteratively update the P-wave velocity of seabed media; based on a second seabed shallow media model and a theoretical dispersion equation of Scholte wave, performing joint inversion of multi-order dispersion curves of Scholte wave to iteratively update the S-wave velocity of seabed media under the constraint of the P-wave velocity determined by the Guided-P wave dispersion inversion; and performing tomography imaging of seabed velocity structures with the inverted P-wave and S-wave velocities along a survey line.

The invention relates to the technical field of road detection, in particular to an intelligent road disease detection method and system based on a three-dimensional ground penetrating radar, and the method comprises the steps: obtaining and processing three-dimensional radar data, and obtaining a horizontal section image in the depth direction and vertical section images of a plurality of channels in the measuring line direction; determining the boundary position of the underground structure layer; selecting a horizontal slice image with a corresponding depth according to the boundary position, and inputting the horizontal slice image into a first disease detection model to obtain a preliminary disease candidate area; mapping the preliminary candidate region to a vertical profile image, intercepting a local vertical profile image of each channel, and inputting the local vertical profile image into a second disease detection model to obtain disease category information; fusion decision is carried out based on the transverse position of the candidate area and the disease category information of each channel, a final disease type is determined and is associated to the candidate area, consistency of disease positioning and type judgment is realized through cooperative utilization of the horizontal section image and the multi-channel vertical section image, and the accuracy and stability of detection are improved.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

The invention relates to the technical field of geological exploration, discloses an ore body detection optimization method and system under a complex terrain, and aims to solve the problems of difficult layout, strong data interference, high multiplicity of solutions and insufficient detection precision under the complex terrain in the prior art. The method comprises the following steps: collecting high-precision digital elevation model data and extracting topographic feature parameters; fusing multi-source geological information to establish a spatial registration model; generating an optimal survey line layout based on topographic constraint conditions and dynamically configuring instrument parameters; correcting the original detection signal in real time; adopting a multi-constraint joint inversion algorithm to reconstruct an underground physical property structure and identifying mine-caused anomalies; and performing dynamic evaluation and parameter iterative optimization according to an inversion result and field verification data. The system comprises a topographic data acquisition and preprocessing module, a multi-source geological information fusion module, a detection parameter adaptive optimization module, a signal distortion real-time correction module, an intelligent inversion and anomaly recognition module and a strategy iteration feedback control module. According to the technical scheme, high efficiency, accuracy and low cost of ore body detection under complex terrains can be realized.

The invention discloses a frozen soil upper limit intelligent identification method based on multi-source data and deep clustering fusion, and belongs to the technical field of frozen soil exploration. The method comprises the following steps: firstly, collecting and preprocessing ground penetrating radar and high-density electrical method data, and registering with drilling data; constructing a sample data set by using a sliding window; constructing a double-branch convolutional auto-encoder to carry out unsupervised pre-training so as to fuse multi-source data features; on the basis, a clustering layer is introduced, a joint loss function combining reconstruction loss, clustering loss and supervision loss is adopted, semi-supervised deep clustering optimization is carried out, and underground media are divided into three types including a covering layer, a transition zone and frozen soil; and finally, automatically identifying the frozen soil upper limit depth of each point on the measuring line by using the trained model, and outputting a confidence coefficient. According to the method, the problems that a traditional method depends on artificial experience and is low in efficiency are solved, and intelligent, high-precision and high-efficiency identification of the frozen soil upper limit is achieved.

The invention belongs to the field of magnetic target body positioning, and relates to a measuring line vertical gradient-based magnetic multi-target positioning and magnetic moment inversion method, which comprises the following steps of: obtaining a unit orthogonal primary function and a primary function coefficient corresponding to each component of magnetic anomaly gradient data vertical to a measuring line, and calculating an energy curved surface of the magnetic anomaly gradient data vertical to the measuring line; detecting a local energy peak value of the energy curved surface, obtaining an energy peak value ratio sequence, obtaining a target number and horizontal position estimation corresponding to the target according to an energy sudden change value in the energy ratio sequence, and calculating a target depth corresponding to a measuring line vertical magnetic anomaly gradient energy extreme value by using a dichotomy method, and constructing a linear equation set about the target magnetic moment by using the measuring line vertical magnetic anomaly gradient data and the unit orthogonal basis function, and obtaining target magnetic moment parameter estimation through a least square method. According to the invention, the anisotropy difference of the estimation precision of the horizontal position of the target is effectively reduced, and the problem of target detection omission caused by large difference between the target burial depth and the magnetic moment module value in multi-target positioning is improved.

The invention belongs to the technical field of detection, and discloses tunnel geological radar mobile intelligent detection equipment, which comprises a mobile seat, a radar antenna is arranged at the top of the mobile seat, a sliding block is fixedly mounted at the bottom of the radar antenna, two connecting rods are slidably connected to the middle of the sliding block, and fixed rods are slidably connected to the middles of the two connecting rods. Moving blocks are fixedly connected to the ends, away from the sliding blocks, of the two connecting rods, first mounting grooves are formed in the moving seats, first motors are arranged in the first mounting grooves, and threaded rods are fixedly connected to the output ends of the first motors. The moving block moves towards the two sides of the radar antenna and can drive the scraping plate and the fan to move, so that broken stones and impurities on the inner wall of the tunnel are removed in the moving process of the scraping plate and the fan, and the radar antenna is located on the front side in the specified measuring line direction; close fitting of the geological radar antenna and the lining surface is not affected by broken stones or impurities, the detection effect is improved, and the detection efficiency is improved.

The invention discloses an active layer depth identification method based on an envelope fusion algorithm, and belongs to the technical field of seasonal frozen depth survey. The method comprises the following steps: optimizing survey line arrangement and radar frequency through field survey and ground temperature data, and collecting data by using a ground penetrating radar; performing background removal, gain compensation, band-pass filtering and time-depth conversion preprocessing on the data; then, a gravity center method and an edge detection method are adopted to extract a bottom interface track, and noise and abnormal values are effectively suppressed according to self-adaptive weighted fusion of signal definition and continuity; and finally, carrying out cross validation and error correction by taking the earth temperature 0 DEG C isotherm depth as a reference, outputting a continuous and smooth interface fusion curve with centimeter-level precision, and calculating the depth of an active layer. According to the method, the high-efficiency and lossless advantages of the GPR are kept, meanwhile, the limitation of traditional interpretation precision is broken through, and a practical technical scheme which can be directly used for designing parameter values is provided for engineering investigation of the permafrost region.

The present invention relates to the technical field of soil quality analysis, and specifically discloses an automatic soil measurement method based on ground penetrating radar. By using a ground penetrating radar with an integrated multi-frequency antenna, multi-frequency data of a soil profile is acquired in real time along a survey line. The multi-frequency data is preprocessed, and the multi-frequency data are aligned in time and space to obtain first multi-frequency data. The first multi-frequency data are fused according to corresponding spatial positions to obtain second multi-frequency data. Based on the second multi-frequency data, it is automatically determined whether dielectric anomalies caused by straw debris exist in the surface layer, and the dielectric constant is corrected. After obtaining the corrected dielectric constant, the calculated soil thickness is associated with the spatial position at each position along the survey line to generate a soil thickness profile distribution, thereby realizing real-time soil quality monitoring.

The invention relates to the technical field of geological exploration, in particular to an X-ray fluorescence spectrometer and geological radar combined gold vein rapid positioning method, which comprises the following steps: S1, arranging an exploration survey line in a pre-selected exploration area; s2, along the same measuring line, measuring the content of the gold mineralization indication element in the earth surface or the shallow medium by using an X-ray fluorescence spectrometer, synchronously recording the position information of a measuring point, and generating element content spatial distribution data; the gold mineralization indicating element comprises at least one of arsenic As, antimony Sb and mercury Hg; s3, carrying out detection by using a geological radar along the same measuring line, obtaining a reflected wave signal of an underground medium, synchronously recording position information of a detection point, identifying fault zone and joint zone geological structure anomalous bodies through data processing, and generating geological radar space distribution data; through XRF and GPR data fusion, a CAI quantitative model is established to precisely delineate an ore prospecting target area, a hidden ore body is effectively identified, the exploration precision and efficiency are greatly improved, and the exploration cost is reduced.

The invention relates to the technical field of underground space detection, and discloses a high-resolution three-dimensional imaging GNSS (Global Navigation Satellite System) positioning type shallow cavity detection system which comprises a mobile carrier platform, a step frequency continuous wave radar subsystem, a high-precision positioning and attitude sensing subsystem, a central control and edge calculation subsystem and a wireless communication module. According to the system, radar acquisition and hardware-level synchronization of positioning data are realized by using GNSS pulse per second; the central control subsystem dynamically modulates the radar frequency step number and the residence time according to the instantaneous velocity of the carrier to ensure that the space sampling interval is constant; and signal enhancement is carried out in combination with geographic semantic prior, three-dimensional deduction reconstruction is carried out on sparse survey line data by using a conditional generative adversarial network, and active supplementary collection of a reverse-driven low-confidence region is evaluated through confidence. According to the method, high-precision positioning, self-adaptive efficient acquisition and full-process closed-loop detection of the underground cavity are realized, and the reliability of detection data and the engineering application value are improved.

The invention relates to a refined three-dimensional geological modeling method based on a geophysical prospecting three-dimensional inversion algorithm, and belongs to the field of geological exploration, and the method comprises the steps: obtaining multi-source data, constructing an initial model, and obtaining a three-dimensional physical property model through the combined constraint of the three-dimensional inversion algorithm; creating a lithology classifier, generating a three-dimensional lithology probability body according to the three-dimensional physical property model, performing geological structure boundary enhancement, and performing geological classification based on the probability body; and extracting a contour surface from the three-dimensional lithologic probability body, generating a preliminary geological interface, performing construction processing, performing attribute model coupling, and outputting a model. According to the method, the spatial continuous model is directly constructed through three-dimensional joint inversion, and interpolation errors between measuring lines are avoided; drilling data forced matching and geophysical prospecting data trend control consider both local precision and global rationality; the whole process algorithm is driven from inversion to lithology classification, and manual intervention is reduced; the method is suitable for high-precision scenes such as urban underground space, mineral exploration and geological disaster assessment.

The invention relates to a method for generating a karst cave 3D printing digital model, a storage medium and equipment, and the generation method comprises the following steps: analyzing a seismic data file in an SEGY format; arranging and storing X and Y coordinates, trace gathers (CDP) and seismic attribute data of a specified main measuring line seismic interpretation profile (Inline) and a tie line seismic interpretation profile (Xline) corresponding to each seismic data point in an index mode; generating a corresponding orthogonal grid model on the basis of the seismic data points; searching and extracting a karst cave in the orthogonal grid model according to the seismic data information of the orthogonal grid model and each grid unit, then identifying all boundary surfaces participating in forming a karst cave boundary, and processing the boundary surfaces to obtain a karst cave contour represented by a triangular grid; and outputting and storing the three-dimensional contour of the karst cave oil reservoir model obtained in the step 3.4 according to an STL file format. The STL model is constructed by identifying and analyzing the seismic data in the SEGY format, and a new tool is provided for smooth development of a 3D printing physical model.

The invention relates to the technical field of marine survey, in particular to a multi-beam survey line layout optimization method, system and device and a storage medium, and aims to solve the technical problem that multi-beam survey line planning is low in precision and efficiency in the prior art. The method comprises the steps that firstly, the optimal grid side length is determined based on the inscribed circle grid area of a task area graph, and grid division is carried out; a gridding task area graph is obtained; then, based on the maximum water depth and the optimal grid side length of the task area, determining a traversal coverage neighborhood range, and calculating the total number of coverage times of each grid unit; thirdly, performing initial region division of the grids based on the total number of covered times of the grids, evaluating division reasonability according to fitness of the grids in the initial region and a neighborhood initial region, and performing region division optimization on the grids with small regional fitness to obtain an optimized spatial clustering graph; and finally, obtaining a measuring line of each optimized area based on the covered cumulative number of times of the optimized areas, and obtaining a multi-beam wiring result with higher precision.

The invention discloses a gyroscopic total station and geomagnetic theodolite combined magnetic declination measurement method, which comprises the following steps of: 1, selecting a true north position edge to carry out gyroscopic orientation measurement, and calculating instrument constants of a gyroscopic total station; 2, erecting a gyroscopic total station and a geomagnetic theodolite at two ends of the measuring line; 3, starting the gyroscopic total station to carry out gyroscopic north-seeking measurement; 4, the gyroscopic total station is used for aiming at the geomagnetic theodolite installation point, and the true north azimuth angle in the direction from the gyroscopic total station measurement point to the geomagnetic theodolite measurement point is measured; 5, measuring a geomagnetic azimuth angle by adopting a geomagnetic theodolite; 6, returning to the true north position edge to carry out gyroscopic orientation measurement, and calculating instrument constants of the gyroscopic total station; if the two constant changes are smaller than 2 delta, the requirement is met, and otherwise, constant changing is performed again; and 7, inversely calculating the true north azimuth angle of the installation point of the geomagnetic theodolite, and calculating the magnetic declination of the installation point of the geomagnetic theodolite. The device is high in measurement efficiency, high in maneuverability, and low in labor intensity and measurement cost.

The invention discloses an offshore field two-dimensional seismic data rapid imaging method, and relates to the technical field of seismic exploration data processing, and the method comprises the steps: obtaining SEGD format original seismic data of a target region from a seismic collection system, combining the data of each shot of each measuring line, decoding the data into internal available data, and obtaining a to-be-processed data body; and loading an observation system and assigning seismic trace header parameters according to actual acquisition parameters based on the decompiled to-be-processed data volume. According to the invention, through a multi-stage denoising and signal protection strategy, effective suppression of various sea interferences is realized, a frequency division multi-channel statistical abnormal amplitude suppression technology is adopted, zero-phase high-pass filtering is combined, low-frequency effective signals are protected while low-frequency strong-energy background noise is removed, and the noise suppression effect is improved. The direct wave cutting step further eliminates strong energy interference under a long cable condition, highlights an effective reflection signal of middle and far offset data, forms a progressive signal-to-noise ratio improvement mechanism from original data to final imaging, and improves the interpretability of seismic data.

The invention relates to the field of geophysical electromagnetic exploration, and provides a time-frequency electromagnetic data processing method, device, equipment and medium, and the method comprises the steps: calculating the similarity offset ratio of each measuring point on a measuring line, and determining a static displacement measuring point on the measuring line based on the similarity offset ratio; calculating equivalent apparent resistivity ratio of static displacement measurement point based on equivalent apparent resistivity of electric field component and corrected equivalent apparent resistivity of magnetic field component corresponding to adjacent measurement points on left and right sides of static displacement measurement point, and updating equivalence of electric field component of static displacement measurement point based on equivalent apparent resistivity ratio and corrected equivalent apparent resistivity of magnetic field component apparent resistivity; and completing static displacement correction in response to the static displacement measuring points on the measuring line, and performing inversion calculation on the magnetic field component amplitude and the electric field component amplitude of each measuring point on the measuring line to obtain resistivity distribution of a preset depth below the measuring line. The scheme disclosed by the invention is beneficial to improving the exploration and prediction precision of the time-frequency electromagnetic oil and gas target.

The present invention provides a time-domain electric field monitoring system and a precise imaging method for earth-rock dams, which belong to the technical field of real-time monitoring of leakage safety issues in earth-rock dams. The monitoring system includes communication cables, drilling cables, drilling electrodes, an integrated electrical method host, a data acquisition and processing platform, etc. The earth-rock dam geoelectric information is transmitted to the input end of the communication cable through the drilling cable, and then transmitted to the integrated electrical method host from its output end, and finally transmitted to the data acquisition and processing platform. The precise imaging method includes data observation and data inversion imaging; the monitoring system of the present invention uses a three-dimensional dynamic observation layout in the horizontal, vertical and time directions, combined with a joint observation method of multiple hole survey lines on the dam body, to achieve real-time and precise imaging of the geoelectric field, which is helpful for the complete coverage monitoring of earth-rock dams, one-time deployment, long service life, and can obtain massive data compared with traditional methods; the observation system of the present invention uses time-shift electrical method technology for the normalized monitoring of earth-rock dams, which can achieve a breakthrough in the integration of monitoring and detection technology.

The invention belongs to the technical field of pile foundation construction, and particularly relates to a scene sound analysis method for interaction of a pile and a karst cave in a construction process, which comprises the following steps of: step 1, high-precision karst cave form detection: arranging crossed measuring lines with the pile foundation as a center, the length of the measuring lines being more than or equal to 20m and the spacing being less than or equal to 1m, synchronously adopting a high-energy acceleration tamper and the impact energy being more than or equal to 50kJ, active source surface waves are excited, the impact frequency ranges from 2 Hz to 5 Hz, environment noise is collected to serve as passive source surface waves, a three-component detector array is used for receiving, and the sampling rate is larger than or equal to 500 Hz. According to the method for analyzing the interaction scene sound of the pile and the karst cave in the construction process, by setting the method for analyzing the interaction scene sound of the pile and the karst cave in the construction process, wave velocity changes in the vertical direction and the horizontal direction and anomalies in high-speed and low-speed areas are analyzed, and the thickness of a covering layer and the burying depth of bed rock are deduced; the development depth, the scale and the space distribution condition of the monolith and the karst caves are determined.

The invention belongs to the technical field of soil layer thickness detection under a composite structure, and discloses a method for measuring the thickness of a black soil layer under a straw returning condition by using a ground penetrating radar technology, which comprises the following steps: firstly, determining a to-be-detected area, setting a plurality of measuring lines according to the area of the detected area, and laying a soil profile to record the thickness of the black soil layer; selecting a ground penetrating radar antenna according to the observed thickness of the black soil layer; burying a marker at the boundary of the black soil layer and the loess parent material layer; properly leveling the land near the measuring line; scanning along the measuring line by using a ground penetrating radar, and marking the position of the marker in the image; and processing and reading the radar image after scanning is completed. According to the method for measuring the thickness of the black soil layer under the straw returning-to-field condition by using the ground penetrating radar technology, the thickness of the black soil layer of the slope farmland with the straw returning-to-field measure can be continuously detected through the ground penetrating radar technology, and then the spatial distribution of the thickness of the black soil layer is obtained; field experiments show that the error of the ground penetrating radar for detecting the thickness of the soil layer under the composite structure ranges from 6.2% to 13.5%.

The invention discloses a method for interpreting a carbonate rock karst fracture-cave body structure by using ground penetrating radar data, which comprises the following steps of: surveying a similar outcrop on site, and acquiring a favorable acquisition area of the ground penetrating radar data; designing a ground penetrating radar survey line deployment and acquisition mode based on the favorable data acquisition area of the ground penetrating radar; processing the carbonate rock karst fracture-cave body data detected by the ground penetrating radar; establishing a ground penetrating radar interpretation standard based on an unmanned aerial vehicle scanning image; and performing three-dimensional interpretation on the ground penetrating radar data of the similar outcrops of the carbonate rock karst fracture-cavity body based on the ground penetrating radar interpretation standard. Therefore, the method can be widely applied to three-dimensional representation of the outcrop area carbonate rock karst fracture-cavity body structure, and a similar outcrop three-dimensional geological mode is provided for fine description of a deep buried hill oil and gas reservoir karst fracture-cavity type reservoir.

The invention relates to the technical field of mine safety, in particular to a metal mine old goaf water disaster up-down combined detection method based on a steeply inclined ore body, and the method comprises the following specific steps: 1, analyzing the existing data of a mine, and determining a detection region; step 2, analyzing geophysical response characteristics and verifying whether the geophysical response characteristics meet detection standards, and if yes, entering step 3; 3, three-dimensionally arranging measuring lines and measuring points above and below the well; 4, multi-source data acquisition and quality control are carried out; 5, preprocessing the data; and 6, joint inversion is carried out. According to the method, through combined detection of the surface high-density electrical method and the underground transient electromagnetic method, multi-source data fusion and geological constraint inversion are combined, the defects of a single geophysical method in depth resolution, anti-jamming capability and spatial positioning precision are overcome, the problem that the old goaf boundary and the water yield property of the steeply inclined ore body are unknown is effectively solved, and the method has the advantages of being simple in structure and convenient to operate. And high-precision positioning of the goaf and the water-rich area is realized.

The invention belongs to the technical field of seismic exploration, and particularly discloses an analysis method, device and equipment for improving two-dimensional survey line inflection point line element attribute quality, and the method comprises the steps: S1, designing observation systems of survey lines with different arrangement lengths and different deflection angles; s2, measuring the dispersion of the line elements at the inflection point, calculating the ratio of the number of the line elements to the number of all the line elements in a preset range of the center line of the line elements at the inflection point of the two-dimensional measuring line, and judging whether the number of the line elements is increased or not; s3, performing shot point symmetric encryption at different positions at the inflection point on the two-dimensional survey line, and determining the position with the maximum line element number ratio as the optimal shot point symmetric encryption position at the inflection point on the two-dimensional survey line of the observation system; and S4, symmetrically encrypting shot points with different distances at the inflection point on the two-dimensional measuring line, and determining the optimal distance of symmetric encryption of the shot points. The method improves the attribute quality of the line element at the inflection point of the measuring line, avoids the sudden change of the number of coverage times, and guarantees the data quality. The method is suitable for two-dimensional seismic exploration operation under the complex earth surface.