208 results about "Survey line" patented technology

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 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 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 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 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 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 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 application discloses a marine seismic survey line leveling method, a processing system and a storage medium, and comprises the following steps: acquiring a seismic operation survey line; extracting a seabed first arrival wave time value according to the seismic operation survey line; grouping the seismic operation survey line to obtain a main survey line group and a liaison survey line group; obtaining an intersection difference according to the seabed first arrival wave time value, the main survey line group and the liaison survey line group; calculating a difference adjustment value of the seismic operation survey line according to the intersection difference; and completing seismic survey line leveling according to the difference adjustment value. The application can quickly level the seismic survey line, reduce the closure error of the seismic survey line and improve the processing efficiency of the closure error of the seismic survey line by grouping the seismic operation survey line first, then calculating the intersection difference (i.e. the difference value of the seabed first arrival wave time value) of two groups of seismic operation survey lines in different directions, and finally calculating the corresponding difference adjustment value and adjusting all the seismic operation survey lines.

The present application provides a comprehensive investigation method for tunnel engineering in limestone interlayer section based on three-dimensional resistivity, relates to the technical field of engineering geological investigation, and comprises the following steps: S1: collecting regional geological data of a tunnel site area to obtain a karst development region; S2: establishing a resistivity value database of different rock-soil bodies; S3: designing a survey line arrangement scheme according to the tunnel orientation of the tunnel site area, testing the two-dimensional profile resistivity of the tunnel site area based on the survey line arrangement scheme, and obtaining two-dimensional profile resistivity data; S4: constructing a three-dimensional geological model, extracting a three-dimensional abnormal body and a soluble rock three-dimensional geological body according to the three-dimensional geological model and the karst development region; S5: drilling verification is performed on the three-dimensional abnormal body and the soluble rock three-dimensional geological body, the karst development region is corrected according to the verification result, and the three-dimensional geological model is updated; and S6: the updated three-dimensional geological model is combined to guide engineering geological line selection. The present application provides a precise basis for tunnel engineering geological line selection and site construction.

The present application relates to oil and gas exploration and development technical field, especially to a block stratum pressure prediction system and method based on three-dimensional seismic information, comprising a data acquisition module, a depth domain conversion module, a three-dimensional gridding work area modeling module, a dynamic lithology volume generation module, a sparse survey line compaction modeling module, a three-dimensional pressure field calculation module and a dynamic regulation and control module. The three-dimensional grid model with well location markers is constructed to realize full space coverage and eliminate the limitations of two-dimensional data. The sparse survey line strategy controlled by structural features is used to process pure mudstone node data, which significantly reduces the calculation load. Based on the dynamic lithology probability threshold, reliable data sources are screened, and the lithology correction coefficient of sandstone area is combined to improve the pressure prediction accuracy. The real-time drilling DC index is used to close-loop verify the prediction results and trigger the regulation and control instructions. The present application effectively solves the technical bottlenecks of insufficient spatial coverage, low calculation efficiency and large prediction deviation in complex geological structure area.

The invention discloses a method for determining a favorable seismic wave excitation part of seismic exploration by using electrical exploration, which belongs to the technical field of seismic exploration, and comprises the following steps of: 1, deploying an electrical exploration survey line; step 2, field data acquisition of electrical method data; 3, electrical method data processing and inversion imaging are carried out; 4, determining a resistivity threshold value of favorable-more favorable earthquake excitation; 5, circling a candidate favorable-more favorable seismic wave excitation section on a resistivity profile or plane distribution result; and step 6, optimizing shot point deployment in the candidate favorable-more favorable seismic excitation section. The method can solve the problem of selection of a favorable seismic wave excitation part in a complex surface lithology exposure area, and greatly improves the seismic exploration imaging quality and exploration precision. Meanwhile, due to the fact that shot point distribution is required to have certain uniformity, large notches on a seismic section are prevented.

The invention provides a level network minimum closed loop rapid search method based on survey station grouping and degree priority, which belongs to the technical field of surveying and mapping engineering, and comprises the following steps of: preprocessing measurement original data, eliminating abnormal values and redundant information, ensuring connectivity of a control network, constructing an adjacency phenotype topological graph, and constructing a minimum closed loop by taking a survey station as a node and a survey line as an edge; the method comprises the following steps: recording node degrees and initializing traversal parameters, preferentially accessing nodes with a large number of connection edges in a traversal stage by adopting a degree priority strategy to accelerate discovery of short rings, generating an initial closed ring set through depth-first recursive traversal, performing independence and minimum verification, eliminating redundant rings and non-minimum rings, and finally obtaining an initial closed ring set through depth-first recursive traversal. Finally, the minimum independent closed ring meeting the requirement is reserved, the closing error of each ring is calculated and compared with the tolerance, and an achievement report containing the ring path, the closing error and the qualified state is generated and used for subsequent adjustment or visualization processing. According to the method, the search efficiency and the result reliability are improved by optimizing a traversal strategy and a ring check mechanism.

The invention discloses tunnel lining geological radar unmanned aerial vehicle detection equipment and a detection method thereof. The tunnel lining geological radar unmanned aerial vehicle detection equipment comprises an aircraft, a first annular piece located outside the aircraft and fixedly connected with the aircraft, and a second annular piece located outside the first annular piece and rotationally connected with the first annular piece. The axis of the first annular piece perpendicularly intersects with the axis of the second annular piece. A nozzle and a geological radar are arranged on the outer wall of the second annular piece; a plurality of distance measuring sensors are annularly and uniformly distributed around the spray head and are positioned on the outer wall of the second annular piece; image acquisition devices are arranged on the two sides of the geological radar and located on the front side end face of the second annular piece. The problems that in the prior art, an unmanned aerial vehicle is prone to being collided and damaged, it is difficult to meet the detection requirements for the vault area and the haunch area at the same time, and a measuring line needs to be drawn manually are solved, and the purposes that the damage rate of unmanned aerial vehicle operation is reduced, operation safety is improved, and the detection requirements for the vault area and the haunch area are met at the same time are achieved.

The application provides an array observation space optimization method and system based on cutter head rotation sparsity, constructs an initial surface array, selects a target survey line, randomly selects a survey point in the initial surface array and removes it, obtains the position of the remaining survey points on the survey line in one rotation of the cutter head, calculates the position of other survey points on the survey line in each rotation, counts the coverage and coverage times, judges whether the position of all survey points on the survey line meets the full coverage evaluation index, if yes, removes the survey point in the survey point surface array and updates the survey point position, repeats the above steps until the coverage times of the survey point position is 0, the cycle is terminated, and the sparse position based on the full coverage evaluation is obtained, the above steps are repeated, the sparse result meeting the full coverage is expanded, the most sparse probe on a single survey line and a single ring is considered, and the best optimization result is obtained. The application can provide an important prerequisite guarantee for realizing fine detection.

This invention relates to the field of bedrock interface detection technology for dams, and particularly to an electrical resistivity tomography (OTM) method for detecting the depth of the bedrock interface in dams. The method involves fixing the north pole (N) at infinity outside the survey area; fixing the bottom pole (B) at a first predetermined position on the initial survey line; moving the top pole (A) and bottom pole (M) at measurement points on each survey line according to a preset sequence to perform a first round of data acquisition in a first mode, obtaining the first potential difference and first current at each measurement point; fixing the bottom pole (B) at a second predetermined position on the final survey line; moving the top pole (A) and bottom pole (M) at measurement points on each survey line according to a preset sequence to perform a second round of data acquisition in the first mode, obtaining the second potential difference and second current at each measurement point; fusing the acquired data from each round to generate a combined dataset; inverting the combined dataset to reconstruct a three-dimensional model of the bedrock interface beneath the dam, thereby determining the bedrock interface depth. This invention is beneficial for improving detection resolution and accurately detecting the depth of the bedrock interface in dams.

The invention relates to the technical field of geological monitoring, in particular to a geological disaster risk area detection method, system and device and a medium. The method comprises the following steps: firstly, collecting topographic data of a survey area to establish a digital topographic model, and generating an optimal survey line arrangement scheme; then high-density electrical method measurement is carried out along the measuring line, and a low-resistance abnormal area is determined through abnormal value analysis; geological radar detection is carried out, and a soil body structure weak zone is identified according to electromagnetic wave reflection signal distribution characteristics; counting the spatial coincidence degree of the two types of anomalies, and judging the region with the relatively high coincidence degree as a high-risk region; and finally, generating a risk distribution diagram in combination with a preset risk assessment model. Through fusion analysis of the multi-source detection data, the limitation of single physical field detection is avoided, and the reliability of risk area identification is improved.

The invention discloses a full-irradiation aviation electromagnetic observation method. The method comprises the following steps: S1, scanning survey line topographic data of a target survey area; s2, dynamically controlling postures of a transmitting coil and a receiving coil based on the survey line topographic data in the S1, and collecting electromagnetic data of a target survey area; and S3, processing the electromagnetic data collected in the step S2, and carrying out random cross gradient constraint inversion to obtain geological structure information of the underground target in the target measurement area. The detection effect of an aviation electromagnetic method in a steep fluctuating environment is remarkably improved for mineral resources, engineering geophysical prospecting and hydrogeological prospecting in a complex terrain area through a full-irradiation aviation electromagnetic observation system in a complex fluctuating terrain and an isotropic resistivity cross constraint inversion method. According to the method, the interference of topographic factors on electromagnetic signals is effectively reduced, and the limitation of insufficient signal coverage in complex topographies in a traditional method is overcome, so that the data processing precision is improved, and richer underground information is obtained.

The application provides a leveling network minimum closed loop fast search method based on station grouping and degree priority, belongs to the technical field of surveying and mapping engineering, and carries out pretreatment on measurement original data, rejects abnormal values and redundant information, ensures control network connectivity, constructs an adjacent list type topology graph, takes stations as nodes, takes survey lines as edges, records node degrees and initializes traversal parameters, in the traversal stage, a degree priority strategy is adopted, nodes with more connection edges are preferentially accessed, so that the discovery of short loops is accelerated, an initial closed loop set is generated through deep priority recursive traversal, independence and minimumness checking is carried out, redundant loops and non-minimum loops are rejected, finally, the required minimum independent closed loop is reserved, the closed difference of each loop is calculated, and comparison with the limit difference is carried out, a result report containing loop paths, closed differences and qualified states is generated, and is used for subsequent adjustment or visual processing. Through optimization of the traversal strategy and the loop checking mechanism, the search efficiency and the result reliability are improved.