213results about "Water resource assessment" patented technology

An image spectrum technology-based geological sketching method, including: based on collected image-spectrum data information of a tunnel face, extracting mineral end members and spectrum to determine types and contents of minerals, extracting texture features and feature waveband spectrums to determine stratum lithology, extracting crack features and identifying crack fillers to obtain a crack identification result; obtaining degrees of crushing of surrounding rocks according to numbers and relative areas of cracks; analyzing weathering variation proportions of minerals according to stratum lithology and mineral analysis result for surrounding rocks, acquiring color differences between different degrees of weathering according to spectral color difference identification results, obtaining degrees of weathering of the surrounding rocks; identifying water outflow form and water outflow position of tunnel face to be detected; and obtaining a geological sketch map for the tunnel face by performing labeling and summarization by using different labeling symbols according to the results.

This invention discloses a method, apparatus, equipment, and storage medium for detecting annular flow pressure drop in wellbore. The method includes: fitting acquired electrical logging data of the well diameter of the target well; processing an irregularly enlarged well section into a concave arc-shaped wellbore to be tested; obtaining the maximum diameter and concave height of the concave arc-shaped wellbore; determining the diameter enlargement factor of the concave arc-shaped wellbore based on the maximum diameter and the pre-acquired drill bit diameter of the target well; and inputting the diameter enlargement factor, the concave height, and the drilling data of the target well into a pre-constructed model of an irregular wellbore annular flow pressure drop in a reference well for calculation to obtain the annular flow pressure drop of the target well. This method enables rapid detection of the annular flow pressure drop of the target well based on the annular flow pressure drop of the reference well, improving the detection efficiency of annular flow pressure drop in irregular wellbore annulus.

A distributed ultrasonic monitoring system for an internal fracture process of an ultra-large three-dimensional geological model includes a high-power ultrasonic phase control apparatus, ultrasonic transmitting and receiving integrated sensors, and measurement and control and three-dimensional ultrasonic imaging software. A geometric asymmetric monitoring layout mode is adopted to form a three-dimensional monitoring grid. The sensors are coupled with the three-dimensional geological model using a pre-embedded manner, the sensors according to sequential numbers are connected to the high-power ultrasonic phase control apparatus, and the sensors of each chain sensor array are excited one by one according to a pre-set delay time; and the three-dimensional ultrasonic imaging software inverts and analyzes a three-dimensional wave velocity field of the monitoring areas according to a relationship of echoes, transmission wave signals and the three-dimensional grid, and reflects rock fracture positions and degrees through changes in the wave velocity field.

The application discloses a kind of ocean stereo magnetic survey system and method based on unmanned platform, belong to marine detection equipment technical field, including water surface magnetic transverse gradient measurement subsystem, underwater magnetic total field measurement subsystem, ground magnetic diurnal variation observation station and data synchronization and compensation processing center.Processing center, built-in improved 18 items Tolles-Lawson magnetic interference compensation model, real-time solution and eliminate platform constant field, induction field and eddy current field interference.The application is realized through the cooperation of combined navigation and automatic roll reduction device, attitude depth adjustment mechanism, water surface / underwater platform high-precision attitude positioning and attitude keeping;After diurnal variation correction, attitude correction and position calculation, water surface transverse magnetic gradient and vertical magnetic gradient are solved, and water surface-underwater stereo magnetic survey cooperative operation and high dynamic platform magnetic interference real-time compensation are realized, which significantly improves the precision, efficiency and spatial resolution of marine magnetic anomaly detection.

The present application provides a kind of pulse neural network conversion method and device for underwater sonar autonomous detection, the method comprises the following steps: step S1: modify YOLOv3-tiny model based on deep neural network model (DNN), obtain the YOLOv3-tiny model after modification;Step S2: load underwater sonar image data set, train the YOLOv3-tiny model after modification;Step S3: for underwater target detection, the trained YOLOv3-tiny model is converted into YOLOv3-SNN model based on pulse neural network (SNN), and the YOLOv3-SNN model includes input layer, hidden layer and output layer, wherein input layer uses real number coding, hidden layer uses the two-state pulse neural coding of active state and resting state, and output layer uses membrane voltage decoding;Step S4: using the YOLOv3-SNN model based on pulse neural network (SNN), is directly used for underwater sonar small target detection task.

The present application relates to the field of wave detector anomaly detection, in particular to an online discrimination method for abnormal operation of a wave detector in a microseismic monitoring system, comprising the following steps: 1, intercepting stationary observation data; 2, filtering the intercepted observation data; 3, regionally decomposing the filtered observation data; 4, data reconstruction and energy change calculation on the data in step 3; 5, obtaining fitting parameters; 5, obtaining mutation points of parameters changing with time; 6, establishing an anomaly discrimination algorithm to judge the working state of the wave detector, the present application effectively obtains wave detector data information, establishes a wave detector working state automatic discrimination algorithm, can effectively improve the timeliness of judging the working state of the wave detector, ensures the effective work of the microseismic system, further improves the observation data quality, and makes the microseismic event pickup and microseismic positioning result more reliable.

The application discloses a water laser echo signal processing model training method and a water depth measuring method, and belongs to the field of laser radar water depth detection. The method comprises the following steps: obtaining multiple groups of underwater laser echo signals and preprocessing to obtain an underwater laser echo signal dataset; the preprocessing comprises the following steps: after normalizing each group of underwater laser echo signals, labeling the data points located on the rising edge of the water surface waveform as water surface points, labeling the data located on the falling edge of the water bottom waveform as water bottom points, and labeling the remaining data points as noise points; building a classification model for predicting the types of the data points in the underwater laser echo signal and training the classification model by using the underwater laser echo signal dataset to obtain an underwater laser echo signal processing model. The application can accurately identify the data points located on the rising edge of the water surface waveform and the falling edge of the water bottom waveform in a complex environment, and provides a reliable basis for calculating the time difference between the water bottom points and the water surface points, thereby improving the measuring accuracy of the water depth.

The application provides a cross-hole resistivity CT based sliding window inversion method and system. In deep hole data acquisition, the acquisition device designed by the application can automatically wind and unwind the cable, adjust the electrode position, and realize sufficient acquisition of data in the deep hole interval detection area by using a small number of electrodes. In data processing, the detection area is divided into blocks by using a variable window, and each block is independently inverted using the data in the block. After increasing the window, the detection area is divided into blocks again, and the inversion is performed layer by layer from a small area to a large area. The application improves the acquisition efficiency, improves the inversion imaging effect, and realizes effective detection of the deep hole area anomaly body.

This disclosure provides a nuclear magnetic resonance (NMR) analysis method for establishing the chemical composition and condensed-state structure of fluorine-containing materials and its application. The method includes: placing fluorine-containing materials under different operating conditions in a single-sided NMR spectrometer; under a single-sided inhomogeneous magnetic field environment; presetting parameters for a spin echo pulse sequence; using the spin echo pulse sequence to excite fluorine and hydrogen nuclei in the fluorine-containing material to obtain coupled NMR signals of fluorine and hydrogen nuclei; determining echo peak data from the coupled NMR signals according to the preset parameters; processing the echo peak data according to the structural characteristics of the fluorine-containing material to obtain relaxation spectrum fingerprint data; performing data transformation on the relaxation spectrum fingerprint data to obtain transverse relaxation time data; and establishing a relaxation spectrum fingerprint database and a transverse relaxation time database of the coupling of fluorine and hydrogen nuclei in the fluorine-containing material based on the relaxation spectrum fingerprint data and transverse relaxation time data under different operating conditions.

The application discloses a kind of nuclear magnetic resonance spectrum peak position detection method, device and readable medium, by obtaining two-dimensional spectrum based on spin echo phase change spectrum, SEcho-Net neural network is constructed and trained, SEcho-Net neural network includes coding layer and decoding layer, coding layer includes indirect dimension down-sampling module and direct dimension down-sampling module, indirect dimension down-sampling module is used to compress two-dimensional spectrum based on spin echo phase change spectrum, and first feature vector is obtained, first feature vector is input in direct dimension down-sampling module and extracts key information related to spectrum peak position, and obtains key feature, and decoding layer includes direct dimension up-sampling module and step-by-step dimension reduction module, direct dimension up-sampling module is used to recover spectrum information from key feature, and second feature vector is obtained, and second feature vector is input in step-by-step dimension reduction module and carries out feature extraction, and obtains spectrum peak pure chemical shift position information.The method has low experimental requirements, and can accurately locate spectrum peak position.

The application discloses a surveying-based binary structure small watershed division method and system, and particularly relates to the field of watershed division. Basic data processing of the application includes collecting and preprocessing topography, remote sensing and other data, establishing a basic database, converting vector contour line data into DEM and filling in depressions, generating a non-depression DEM, determining water flow direction by using a D8 algorithm, calculating cumulative flow, and generating a river network. The river channel is converted into a vector runoff network, the sub-watershed range is extracted and mapped, the outcrop point of underground river or karst spring is taken as a corrosion reference, the watershed outlet is determined in combination with the main river channel of a large river, and a complete correlation system is constructed. Finally, the development of the underground water system pipeline is determined through hydrogeological investigation, geophysical prospecting, drilling and pumping test, the results of comprehensive investigation, geophysical prospecting, drilling and pumping test are comprehensively considered to accurately correct the boundary of the underground water system, and the underground water system distribution map conforming to the actual conditions is formed in combination with remote sensing images and administrative division maps.

The application discloses a dark underwater image processing method based on color space conversion, which comprises the following steps: firstly, pre-acquired underwater images are down-sampled to reduce the image size and copied into two images; secondly, color space conversion is performed on the two parts of underwater images respectively; thirdly, an underwater optical imaging image model is established, and the first converted underwater image is processed by using an image deblurring algorithm to obtain a clear image with high contrast; fourthly, an improved white balance algorithm is used to process the deblurred image; fifthly, a nonlinear channel prior is introduced into a traditional image deblurring model to minimize the item to eliminate the motion blur problem caused by water flow fluctuation; sixthly, the obtained accurate blur kernel and potential clear image are iterated with the initial restored image to obtain a final restored image; and finally, the two images are fused, re-sampled and outputted to obtain a final clear underwater image. The application can better realize image restoration, improve the brightness and contrast of the image and improve the recognition degree.

Embodiments of the present application disclose a method and device for determining a formation quality factor, electronic equipment and a storage medium. The method comprises: exciting a seismic wave to a target formation, determining a reference wavelet, a corresponding receiving wavelet and a target frequency band; determining a spectral ratio logarithm and a frequency value based on the amplitude spectrum of the reference wavelet and the amplitude spectrum of the receiving wavelet, and determining a spectral ratio logarithm average difference based on a plurality of spectral ratio logarithms and a frequency average difference based on a plurality of frequency values; determining the quality factor of the target formation based on the spectral ratio logarithm average difference and the frequency average difference, wherein the quality factor represents the degree of absorption and attenuation of the seismic wave in the target formation. The technical scheme of the embodiments of the present application solves the problem that the current method for determining the quality factor is easily affected by noise, resulting in inaccurate values of the quality factor, reduces noise interference, and improves the accuracy of the quality factor.

The application relates to an ablation needle arrangement method, system, computer device and storage medium. The method comprises the following steps: obtaining a plurality of needle arrangement schemes generated in different needle number scenarios by linear fitting of ablation needles with different needle tip effective lengths and different ablation durations; the needle arrangement scheme comprises an ablation area, and the number of needles, the effective length of the needle tip, the ablation duration and the needle arrangement point position corresponding to the ablation area; determining a plurality of needle arrangement schemes in which the ablation area completely covers an abnormal area and the normal area corresponding to normal tissue in a medical image of a target object has an area less than a preset value as preselected needle arrangement schemes; and selecting, as a target needle arrangement scheme, a preselected needle arrangement scheme in which the path from the needle arrangement point position to the abnormal area does not pass through important organs of the target object. According to the method, the number of ablation needles, the effective length of the needle tip and the ablation duration can be automatically planned, and the needle arrangement scheme can be accurately planned.

This invention proposes a method and apparatus for processing surface clutter using lidar based on unmanned surface vessels (USVs). The method includes: acquiring point cloud data of the USV's surface environment using lidar; performing coordinate system transformation and point cloud correction on the acquired point cloud data; segmenting the corrected data into lidar point cloud clusters using grids; classifying the segmented lidar point cloud clusters by extracting multiple features; and performing real-time frame-by-frame matching and target tracking of USV surface targets using the extracted feature vectors and the positioning information of the point cloud clusters, calculating the target's motion elements, and using the continuity of the target and the randomness of the waves to remove clutter points and accurately track the target. This method can filter out outliers and clutter points caused by plankton, and simultaneously filter out wake waves and spray.

This invention relates to the field of pipe jacking construction technology, specifically to an advanced geological prediction method used in pipe jacking construction under complex strata. The method involves geological surveying of the pipe jacking tunnel area, conducting preliminary surveys of the soil, and determining whether there are significant differences in soil hardness based on soil physical parameters. If such differences exist, the structural topography and adverse geological features within the pipe jacking tunnel area need to be predicted. Monitoring point deployment involves installing geophones on the sidewalls of the pipes in the pipe jacking tunnel. In this invention, geophones are deployed in a spatial array on the sidewalls of the pipe jacking tunnel, allowing for flexible data acquisition and adjustment of geophone positions based on site conditions. A total of [number missing] monitoring points were deployed. The advantages are: the HSP advanced geological prediction technology proposed in this invention for geological surveying of pipe jacking tunnels is fast, essentially not taking up construction time; data analysis after signal processing is rapid, and preliminary conclusions can be drawn immediately after measurement.

An intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores, comprising: an ultrasonic generator (100), configured t

The water-fat separation method, system and terminal for magnetic resonance imaging of the present application obtain the corresponding water-fat separation result according to the echo complex image data through the water-fat separation model based on the deep learning and the traditional model segmentation combination. The present application optimizes the precision of the field map extraction, improves the stability and calculation speed of the water-fat separation, at the same time, retains the constraint force of the traditional algorithm on the output result, and maximizes the consistency of the output result and the original signal.

The present application relates to the technical field of on-site rock imaging, and particularly relates to a rock imaging device. The rock imaging device comprises a box body, a first sliding groove is arranged on the top of the box body, and the first sliding groove is arranged along the front-rear direction of the box body; a light source assembly is arranged in the box body and located at the upper part of the box body; an imaging assembly comprises a first sliding block, a connecting plate, a mounting frame and an imaging device, wherein the first sliding block is slidingly connected to the first sliding groove, the connecting plate is connected to the first sliding groove, the mounting frame is connected to the connecting plate, and the imaging device is arranged on the mounting frame; a placing assembly is arranged in the box body and used for placing rocks. The imaging device can move relative to the top of the box body, and the imaging assembly position can be changed for focusing according to rocks of different shapes. The device can be built on a drilling site to timely image rocks just drilled, record and save rocks of basic oil-water fluids, reduce imaging interference on the imaging site, and make the imaging color and oiliness closer to the reality.

The present application relates to a kind of experimental device for studying the influencing factor of water transport rate of sandstone surrounding rock, the experimental device includes base, multifunctional container, three microwave moisture sensors, three micro-pressure transmitters, high-density electrical instrument and data collector.Multifunctional container is equipped with cover and base fence;The front end of base fence is equipped with sample support vertical plate, and the front of sample support vertical plate is equipped with sensor fixed column;Multifunctional container is square hole, and square hole is equipped with sealing buckle;Sealing buckle is inserted with rock sample in contact with square hole;Rock sample is equipped with three sensor layout ports, and is sleeved with three electrode fixed frame, and electrode fixed frame is equipped with copper screw with electrode line;Electrode line is connected with high-density electrical instrument;Three micro-pressure transmitters are in contact with rock sample;Rock sample is uniformly distributed with a plurality of platinum resistance on one side.At the same time, the present application also discloses test method.The present application can realize the influence degree of water transport rate in rock sample under the action of different factors.

This invention belongs to the field of UAV autonomous positioning and navigation technology, and relates to a UAV map construction method for environments where satellite imagery is unavailable. Specifically, it provides a method for constructing a UAV work area map based on aerial imagery, addressing issues such as image distortion and edge misalignment in existing area map construction methods. This invention orthogonally divides the UAV's aerial photography work area into a grid according to the same geographic coordinate system. The UAV performs a coverage flight mission within the work area according to a planned flight path, maintaining an interval of 50% of the field of view width between adjacent flight paths. During aerial photography, the UAV simultaneously acquires image and geographic positioning information (GPS information and yaw angle information of the center point) as image location points. Based on UAV sensor data and the UAV's flight trajectory and pose, keyframes of geographic location information are extracted from the aerial video, and then used to fill the corresponding grid content to obtain a global map of the work area.

This invention relates to the field of micro-motion surface wave exploration methods, and discloses an automatic extraction method for dispersion curves of micro-motion surface waves based on connected component analysis. The method includes cross-correlation extraction of virtual source surface wave shot gathers, frequency-wavenumber domain amplitude spectrum calculation, adaptive threshold binarization, connected component analysis, frequency-wavenumber domain surface wave mask generation, mask-amplitude matrix element multiplication, phase velocity picking, Hampel filtering, and automatic generation of dispersion curves. This invention utilizes image connected component analysis and other operations to process the amplitude spectrum of micro-motion surface waves, separating the surface wave signal region from the frequency-wavenumber domain amplitude spectrum image. It automatically identifies discrete phase velocity points from images containing only surface wave dispersion energy stripes and uses Hampel filtering to remove distortion points, ultimately achieving high-precision automated measurement of the dispersion curve.

Embodiments of the present application provide a VIO map correction method, electronic equipment and storage medium, the method comprises: obtaining a to-be-corrected map of a visual-inertial odometry (VIO) in a camera coordinate system; determining an attitude angle of a measurement device relative to a geographic coordinate system, the measurement device comprising an acceleration sensor and a magnetic force sensor; obtaining magnetic field data of the measurement device; obtaining an azimuth angle of the measurement device relative to the geographic coordinate system by combining the magnetic field data with the attitude angle; and converting the to-be-corrected map from the camera coordinate system to the geographic coordinate system based on the attitude angle, the azimuth angle, and a camera external parameter corresponding to the camera coordinate system, to obtain a corrected map. The corrected map of the present embodiment is more intuitive than the map in the camera coordinate system, thereby improving the user experience.

The application provides an improved sparse learning out-of-grid direction-of-arrival estimation method based on variational Bayesian. The method is characterized in that: the original data received by a hydrophone array is preprocessed, a real value transformation is used to convert a vectorized covariance matrix signal in a complex number field to a real number field, and the idea of variational sparse Bayesian learning and grid evolution is combined to make the grid evolve from an initial uniform grid to a non-uniform grid adaptively in an iteration process. The evolution process includes grid updating and grid fission. The evolved grid points are gradually close to the real source position through the alternately iterative grid updating process and grid fission process. Compared with the traditional compressed sensing method, the method has higher DOA estimation accuracy, reduces the operation complexity, optimizes the operation efficiency, improves the resolution capacity of the source, and has higher application value in actual engineering, especially in the case of few snapshots and low signal-to-noise ratio.

The present application relates to a kind of low-frequency magnetic field generator for rat electromagnetic experiment and its uniform area measuring method, the method includes the following steps: S1, analysis display terminal calculates the magnetic induction intensity distribution of Helmholtz coil under given condition, and according to the change of magnetic induction intensity relative error determines the uniform area of magnetic field distribution, is recorded as reference area, corresponding boundary is reference boundary;S2, using magnetic field probe coil measures the magnetic induction intensity on reference boundary;S3, least square method is applied to obtain the measured boundary of magnetic field distribution uniform area;S4, according to the average absolute percentage error of magnetic induction intensity at measured boundary and reference boundary determines its actual uniform boundary;S5, analysis display terminal displays the actual uniform area of Helmholtz coil magnetic field distribution under given current amplitude and frequency, for rat electromagnetic experiment.Compared with prior art, the present application has the advantages of obtaining accurate magnetic field uniform area, reducing test workload and the like.

This invention discloses a method for simulating the underwater topography of natural lakes based on shoreline topographic features, belonging to the field of earth science technology. This invention focuses on "simulating the natural process of lake level drop," fully utilizing the lakeside topographic information and morphological parameters extracted from DEM data to achieve reliable estimation of water depth and water storage in natural lakes without actual measured data. The main advantages are as follows: 1) This method can automatically adjust the calculation formula for underwater topography based on lake morphological parameters, thereby achieving autonomous adjustment for water depth prediction of different types of lakes, effectively improving the accuracy and reliability of the simulation results; 2) In the underwater topography simulation process, the reshaping effect of lake sediments on the underwater topography is considered, and a correction formula is introduced into the slope calculation module, making the slope calculation results closer to the actual lakebed morphology, further improving the accuracy of the simulation process.