153 results about "Survey line" patented technology

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 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 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 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 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 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.

The present application relates to the field of quantum magnetic field measurement, and discloses a CSAMT and transient electromagnetic combined detection method for concealed copper-gold mine exploration, comprising the following steps: establishing a survey area coordinate system and arranging comprehensive geophysical survey lines in the survey area; sending alternating current by using the controllable source audio frequency magnetotelluric method along the survey line, and combining a quantum geomagnetic field strength meter to obtain the earth's electromagnetic response data; sending pulse current by using the equivalent counter magnetic flux transient electromagnetic method, and placing a quantum magnetometer on the zero magnetic flux plane of the primary field to obtain the stratum pure secondary field transient decay signal; inputting the data into a noise reduction system, and extracting the noise-reduced data by using an adaptive common-mode noise suppression algorithm; performing inversion processing on the noise-reduced data to obtain a two-dimensional resistivity section and delineate the concealed ore body. The present application overcomes the delay of the traditional induction coil, captures deep and extremely weak signals with high precision, and strips strong interference at the physical and algorithm levels, thereby improving the inversion reliability and ore body positioning accuracy.

This invention belongs to the field of non-destructive testing of road surface damage, specifically involving a method for optimizing the antenna frequency of ground-penetrating radar (GPR) at different detection depths. The method involves selecting four intermediate-frequency (IF) antennas and four high-frequency (HF) antennas; extracting single-channel wave data from radar signals acquired by the IF and HF antennas for different survey lines and calculating the average amplitude of multiple wave signals; calculating the amplitude of echo signals from layer interfaces; constructing a homogeneous model of the tested road section using electromagnetic simulation software and calculating the amplitude of echo signals from layer interfaces within the homogeneous model; and evaluating the degree of disturbance to the target echo signal caused by the non-uniform characteristics of the road surface material based on the aforementioned signal data. This invention quantitatively assesses the impact of non-uniform disturbances on radar waves excited by different antenna frequencies, thereby subdividing the overlap range within the radar detection depth at different antenna frequencies. This provides data support and prior knowledge for selecting the optimal antenna frequency in GPR field testing.

The application provides a ground penetrating radar image stratum horizon correction method, a computer device and a storage medium, and the method comprises the following steps: adopting a ground penetrating radar to perform circumferential detection on a tunnel to-be-detected region to obtain radar atlas data; using a tunnel scanner to scan and position a tunnel section survey line to obtain tunnel three-dimensional point cloud data; constructing a circumferential curved surface model matched with a ground penetrating radar detection path, extracting the center coordinates, the circumferential radius and the detection angle of each detection position of the ground penetrating radar; obtaining the direct wave time of a single-channel radar wave and the stratum interface reflection wave time in the radar atlas data, and calculating the stratum interface burial depth of each detection position; and based on the center coordinates, the circumferential radius and the detection angle corresponding to each detection position, performing geometric correction on the stratum interface burial depth to obtain the actual interface depth of each detection position relative to the tunnel reference surface. By using the application, the stratum horizon deformation during circumferential detection can be eliminated, and the burial depth and strike of the stratum are more intuitive.

The invention provides a geological radar underground pipeline reconstruction method based on two-stage inversion and sequence interpolation. Comprising the following steps: S1, data acquisition and data set construction; s2, constructing and training an inversion network PMSI-Net in a first stage; s3, performing frame-by-frame prediction in a first stage; s4, constructing and training an interpolation network PPGI-Net in a second stage; s5, performing second-stage interpolation prediction; and S6, pipeline reconstruction output. According to the method, the problems of boundary drift and false detection caused by the fact that single-frame segmentation / regression is easily influenced by clutters, the problem of insufficient credibility caused by inconsistency of geometric output and physical property output and lack of mutual identification, and the problem of difficulty in tracking and three-dimensional reconstruction caused by discontinuous measuring line sequence output and inter-frame breakage are solved.

The application discloses a kind of seismic data imaging method, device, equipment, medium and product, the method includes: for each main survey line included in the seismic data volume to be migrated, according to the information of work area and all shot-receiver information contained by main survey line, the shot-receiver coverage range corresponding to main survey line is determined and relationship reference table is established;Iterate the cyclic imaging target in imaging task, determine the input seismic line information according to its target main survey line number, migration parameter and relationship reference table;Iterate all input seismic line numbers in input seismic line number range, determine the imaging sub-result of input seismic line number according to travel time table file, input shot-receiver coverage range set and preset Kirchhoff prestack depth migration algorithm;Until the preset end condition is met, the final imaging result is determined.Travel time data is segmented by main survey line number, and travel time data is read into memory in line by line cycle, which greatly reduces the memory occupation of travel time, saves memory overhead.

The utility model relates to the technical field of building surveying, and discloses a wire drawing device for building surveying, which comprises a shell, one end of the shell is provided with a through hole, two sides of one end of the shell close to the through hole are respectively provided with a vertical hole and an insertion hole, a same adjusting mechanism is arranged between the two insertion holes, and the adjusting mechanism comprises a U-shaped frame slidably connected to the inner side of the through hole. T-shaped blocks are fixedly connected to the two sides of the outer wall of each U-shaped frame, each T-shaped block is slidably connected into the corresponding close vertical hole, two guide rollers are rotationally connected between the two U-shaped frames close to the inner side of the shell, and rotating rods are rotationally connected between the two sides of the ends, away from the shell, of the U-shaped frames. According to the utility model, the technical effects that the outgoing height of the measuring line is convenient to adjust, different measuring scenes and height requirements are met, the direction and the pitching angle of the measuring line can be accurately determined, and reliable guarantee is provided for high-precision positioning and construction in building construction are achieved.

The present application belongs to the field of magnetic positioning detection, and discloses a broken casing detection system and positioning method based on magnetic field tensor gradient, wherein the system comprises three fluxgate sensors vertically arranged along a vertical survey line in a downhole magnetic casing and a host computer located on the ground; the vertical survey line is arranged on the axis of the magnetic casing, wherein: the three fluxgate sensors form a measurement array, which is used for continuously measuring downward along the borehole at the broken position of the magnetic casing to obtain three-component magnetic field data of the broken casing; the host computer is used for receiving data from the three fluxgate sensors, performing data processing and analysis to generate a magnetic anomaly response curve, so as to observe and determine the position and characteristics of the broken casing. The broken casing detection system and positioning method have intuitive distance positioning and positioning functions, high positioning efficiency, and are more widely applicable.

The invention discloses an ocean space gravity survey line dynamic planning method and system based on deep reinforcement learning, and relates to the technical field of ocean gravity survey line planning, and the method comprises the following steps: environment construction and state representation, intelligent agent training and strategy learning, online dynamic re-planning and execution, and track post-processing and feasibility guarantee. According to the method, multi-source prior geographic information and real-time dynamic environment data are deeply fused, a high-precision reinforcement learning simulation environment is constructed, adaptive path planning from static state to dynamic state is realized, and through a multi-target composite reward function design, a multi-agent collaborative framework, a course learning strategy and a meta-learning rapid adaptation capability, the path planning efficiency is improved. According to the method, B spline curve smoothness and safety constraint guarantee are combined, the coverage rate, safety and execution efficiency of path planning are remarkably improved, meanwhile, through man-machine cooperation and digital twinborn verification closed loop, the advantages of expert experience and intelligent decision making are considered, and the intelligent level and comprehensive benefits of ocean gravity measurement can be remarkably improved.

This application discloses a deep learning-based method for identifying defects in channel concrete lining, comprising: acquiring ground-penetrating radar (GPR) data of a target channel section; the GPR data including B-scan radar images acquired by multiple antenna channels along the same survey line; extracting candidate defect regions from the B-scan radar images, comparing the candidate defect regions with a pre-established defect morphology feature database to obtain defect type determination results for the candidate defect regions; inputting the candidate defect regions into a defect identification model to obtain defect judgment results for the B-scan radar images acquired by each antenna channel; and performing multi-channel fusion of the defect judgment results of each antenna channel at the same spatial location to obtain the defect identification result corresponding to the target channel section. The method of this application improves the accuracy and reliability of channel lining concrete defect identification by performing multi-channel identification and determination of the same spatial location of the channel concrete lining through a defect identification model.

The present application relates to a kind of uncertainty water supply pipeline leakage diagnosis methods based on leakage before and after radar information and image correlation coefficient, belong to water supply pipeline leakage diagnosis technical field.The method includes: S1: it is demarcated survey line at certain interval perpendicular to water supply pipeline, under the condition of not leaking, the radar echo image of each survey line is detected and obtained;S2: the radar echo image of each survey line is repeatedly obtained under the condition of leaking;S3: all radar echo images are cropped according to uniform pixel size;S4: the correlation coefficient of all leakage state images and same survey line non-leakage state image is calculated;S5: the distribution of correlation coefficient under the condition of leakage is inspected, specifically: the correlation coefficient of leakage state image and non-leakage state image of each test group of same survey line is inspected, and the difference is described according to distribution form using mean or median description.The present application can improve the accuracy of buried water supply pipeline leak detection.