25 results about "Coverage density" patented technology

The invention discloses a geological structure three-dimensional reconstruction and analysis system based on multi-modal data fusion, and relates to the technical field of geological exploration information. The method comprises the following steps: acquiring and normalizing multi-source heterogeneous geological observation data through a preprocessing module, and generating basic data and a data coverage density map; the adaptive fusion module performs analysis to generate a dynamic adaptive weight field, and performs weighted fusion on the data to obtain a primary three-dimensional geological data volume; the construction and optimization module constructs a three-dimensional space residual field in a vector form based on the difference between the fusion body and the original data, and deduces the geometric morphology of the geological interface; the reconstruction module ensures the consistency between model layers through hierarchical bidirectional belief propagation processing; the quantification module calculates an uncertainty index; and the visualization module finally generates a three-dimensional geological scene. According to the method, the problems of conflict resolution and reliability evaluation in multi-source geological data fusion are effectively solved, and the precision of the three-dimensional geological model and the engineering decision support capability are improved.

The invention provides a scene reconstruction and automatic correction method using an unmanned aerial vehicle, and belongs to the technical field of scene reconstruction and correction, and the method comprises the steps: carrying out the global data collection of different sub-regions, synchronously recording the flight path information of each round, and carrying out the timestamp alignment processing of sensor data; constructing a dynamic error compensation model, and correcting motion blur, environmental interference and trajectory deviation errors in the collected data by combining a dynamic parameter set of random flight of each round of the unmanned aerial vehicle; integrating multiple rounds of data after correction, establishing spatial mapping of subarea textures and point clouds, and generating an initial three-dimensional model; and constructing a closed-loop correction mechanism based on the GNSS absolute coordinate of the unmanned aerial vehicle and the ground high-precision control point, calculating the deviation of the initial three-dimensional model, and if the deviation exceeds a threshold value, reversely adjusting the random flight coverage density, the flight round and the error compensation coefficient until the deviation reaches the standard. And the precision of scene reconstruction and correction is improved.

The invention provides a wetland ecological restoration effect comprehensive evaluation method and system, and belongs to the technical field of big data analysis. According to the method, real-time data of multi-dimensional ecological elements such as water turbidity, vegetation coverage density and soil acidity and alkalinity are collected, a multi-dimensional element correlation matrix based on time sequence correlation is constructed, and the dynamic change frequency of each element is captured. Core influence factors are screened by quantifying the contribution degree of each element to ecological restoration, weight distribution corresponding to clustered element clusters is determined, and then an accurate quantitative score is generated and mapped into a clear restoration condition level through multiplication and summation of inter-cluster correlation coefficients and weights item by item. Meanwhile, an evolution track is compared and analyzed by combining historical time sequence data, and the weight is dynamically adjusted to ensure that evaluation adapts to an actual repair process. The comprehensive, dynamic and accurate evaluation of the wetland ecological restoration effect is realized, scientific support is provided for the accurate adjustment of the restoration strategy, and the fine management of the wetland and the sustainable development of the natural environment are guaranteed.

An image collection method and an image capturing device. The method comprises: obtaining first coverage density data of one or more first images based on captured first images of a target object to determine one or more re-shooting positions; rendering one or more shooting position suggestion marks corresponding to the one or more re-shooting positions in an image corresponding to a real space displayed in real-time by the image capturing device; and when a current position and a current viewing angle of the image capturing device match a target shooting position suggestion mark, automatically capturing a target second image corresponding to the target shooting position suggestion mark toward the target object. Thereby, the present disclosure provides a method that can effectively guide users to complete image collection required for 3D object modeling.

The present invention discloses a method and system for analyzing surveying and mapping information data for land planning and surveying projects, specifically relating to the technical field of topographic surveying and mapping, and is used to resolve the technical defect of missing surface point clouds caused by fixed laser parameters in vegetation-covered areas. The method obtains near-infrared spectral images, polarization characteristics, and aircraft pitch angles of vegetation areas in real time; calculates vegetation coverage density and inverts leaf inclination distribution entropy; couples multiple scattering effects with geometric propagation characteristics to generate actual penetration path length; dynamically increases pulse energy based on a coverage density threshold; increases emission frequency in stages according to the proportion of penetration path excess; and uses optimized parameters to emit laser beams to generate a high-integrity surface point cloud dataset. The method solves the terrain blind spot problem caused by vegetation occlusion and provides terrain model support for land planning.

This invention provides a dust pollution detection method and system based on image recognition, belonging to the field of image processing technology. The method includes: acquiring a group of dust images of a region to be detected, and determining a target image from the dust image group based on a preset filtering rule; performing preprocessing on the target image to obtain a binarized dust image; determining an improved grayscale mean to characterize the global coverage density of the dust based on the binarized dust image, and determining a fractal dimension to characterize the local morphological complexity of the dust using an improved box counting method based on the binarized dust image; constructing a pollution factor based on the improved grayscale mean and the fractal dimension, and assessing the dust pollution level based on the pollution factor. This invention achieves a rapid, stable, and structurally discriminative quantitative assessment of dust pollution status in semi-enclosed environments such as tunnels.

The invention discloses a method and system, and the method comprises the following steps: obtaining the thickness of a corner protector according to the sharpness of a single sharp node, and obtaining the volume of the corner protector according to the shape of a region covered by the corner protector and the thickness of the corner protector; when the total volume of the required angle bead material is within a threshold value, comparing angle bead covering density values obtained before and after angle bead covering and obtaining a corresponding collapse coefficient, and obtaining the surface area of the plastic package material according to the product of the collapse coefficient and a correction coefficient of a proportion value of each area of the edge occupying the total area; otherwise, determining different thicknesses of the corresponding nodes on the packaging material according to the score difference degree; a packaging part combination is obtained under the rule that the shape and the size of a packaging part are not changed and edge nodes of overlapped packaging parts are within a threshold value, a cuboid is constructed according to the tangent line of the outermost side, and the packaging group with the length, width and height parameters within the threshold value and the minimum gap total size is selected to conduct secondary packaging on the packaging part. The method has the characteristic of improving the accuracy and efficiency of the packaging service.

This invention belongs to the field of shear wave exploration technology and discloses a design method for a shear wave observation system. The method involves: acquiring target layer parameter information in the exploration area; determining the shear wave elements of the shear wave observation system based on the target layer parameter information; determining the shear wave receiver spacing of the shear wave observation system based on the target layer parameter information; quantitatively calculating the maximum shear wave offset based on the time-distance curves of the direct shear wave, refracted shear wave, and reflected shear wave; verifying the effectiveness of the shear wave elements in step S2, the shear wave receiver spacing in step S3, and the maximum shear wave offset in step S4 based on forward modeling of the shear wave equation and actual shear wave seismic records acquired through field experiments; and calculating the coverage number and coverage density of the shear wave observation system based on the signal-to-noise ratio of the actual shear wave data and the effective offset range of the shear wave. This invention obtains high-quality shear wave seismic data through qualitative and quantitative design of a nine-component three-dimensional shear wave observation system. This invention is applicable to the design of shear wave observation systems.

One variation of a method includes: detecting a first location of a user carrying a mobile pack proximal a first scan zone; accessing a first sequence of images representing trees in the first scan zone; characterizing a first coverage density of the first scan zone based on visual features detected in the first sequence of images; in response to the first coverage density exceeding a threshold coverage density, alerting the user of scan completion; detecting a second location of the user proximal a second scan zone; accessing a second sequence of images representing trees in the second scan zone; characterizing a second coverage density of the second scan zone based on visual features detected in the second sequence of images; and, in response to the second coverage density falling below the threshold coverage density, prompting the user to increase a traversal speed for a third scan zone.

The invention relates to the technical field of thickness measurement, in particular to an X-ray thickness gauge material compensation method, which comprises the following steps of: setting a plurality of acquisition angles of an X-ray source and a detector in a range of-15 degrees to + 15 degrees, performing X-ray transmission on a measured object at each angle, and recording a transmission intensity value received by the detector. The X-ray source and the detector are set to carry out multi-angle acquisition in the angle range of-15 degrees to + 15 degrees, the coverage density of information of a detected object in different directions is improved, the analysis capability of a complex structure cross section is enhanced, and on the basis of multi-angle attenuation projection data, the detection accuracy is improved. According to the method, the cross section area of the measured object is discretized into the two-dimensional pixel grid, so that consistent modeling of the heterogeneous object is realized, initial modeling deviation caused by prior insufficiency of materials is avoided, and subsequent iterative correction operation is more accurate through geometric mapping of a pixel path and a projection path.

The present application relates to the technical field of underground pipe network monitoring and early warning, and particularly relates to an underground pipe network partition visualization and safety early warning method and system. The method comprises: obtaining a map service source, an underground pipeline service, GIS data, a BIM model, equipment data, historical monitoring data, historical maintenance records, inspection logs and accident reports, performing data alignment and data standardization processing to obtain pipe network topology structure information; performing key node, valve, connection relationship and monitoring coverage density correlation processing to obtain partition objects; performing connection processing to obtain multi-source heterogeneous monitoring data, and performing time sequence feature coding, spatial feature coding, semantic text data feature coding and cross-modal fusion processing to obtain fusion feature vectors; and then performing confidence interval, intelligent alarm instruction, mutation alarm instruction, maximum clustering distance and connection relationship joint processing to obtain correlation alarm state information. The present application can effectively improve the accuracy and timeliness of safety early warning.

The invention provides an earthquake visual early warning method combining monocular depth estimation and an optical flow method. According to the method, through fusion of monocular depth estimation and a robust optical flow algorithm suitable for a traffic scene, inversion of ground acceleration at a street lamp type equipment base is realized, a distributed earthquake monitoring network can be constructed based on inversion data, the industrial pain points of high deployment cost and insufficient coverage density of a traditional seismograph are solved, and the method is suitable for popularization and application. And a solution with high cost performance is provided for urban earthquake early warning.

The invention relates to an RGB terrain loading method and device for Cesium and electronic equipment. The method comprises the steps of converting RGB tile data into height data, generating a geometric error graph based on the height data, screening out control points from the geometric error graph, generating a terrain triangulation network based on the control points, and performing terrain drawing according to the terrain triangulation network. The control points are screened out from the generated geometric error graph, and the more accurate terrain triangulation network is generated based on the screened control points, so that the defect of data distortion in the prior art is overcome, in addition, the coverage density is improved by increasing the number of the terrain triangulation networks, the inclination angle between the terrain triangulation networks is reduced, and the accuracy of the terrain triangulation network is improved. Therefore, the problems of sharpness and unsmooth transition of the existing triangulation network are solved.

The invention provides a nanometer quick-freezing fresh-locking method based on a superposed space electric field, and relates to the technical field of freezing fresh-locking, and the method comprises the following steps: obtaining a three-dimensional space arrangement of muscle fibers in a nanometer quick-freezing liquid, and identifying a fiber arrangement included angle and a fiber coverage density of the muscle fibers, collecting the initial electric field direction of the superposition space electric field and the polarization intensity of each area to obtain a polarization intensity mean value; determining a one-way electric field coverage rate according to whether the fiber arrangement included angle exceeds a preset one-way electric field coverage range threshold value or not, and determining polarization intensities of fibers with different orientations according to the one-way electric field coverage rate and the fiber coverage density; and an electric field switching period is generated based on the adjusted polarization intensity distribution, the difference value change trend of the energy storage value in the fiber and the energy storage value in the fiber gap after the electric field switching period is executed is analyzed, the balance degree of energy storage inside and outside the fiber is evaluated, and whether cold energy storage exceeds a preset range or not is monitored.

This invention relates to an evaluation method, apparatus, electronic device, and storage medium for a seismic observation system. The method involves acquiring a geological model of an exploration area; determining the maximum shot-receiver distance for each subsurface layer and, based on the maximum shot-receiver distance, determining the seismic observation system corresponding to each subsurface layer; identifying any subsurface layer as a target layer; obtaining the imaging area projected onto the surface of a target point on the target layer using a reverse ray tracing method, and determining the area of ​​the imaging area; determining the coverage frequency of the imaging area based on the seismic observation system corresponding to the target layer; and determining the coverage density of the imaging area based on the coverage frequency and the area of ​​the imaging area. This coverage density is used to evaluate the seismic observation system. Specifically, the method involves targeted statistical analysis of coverage density based on the maximum offset corresponding to different subsurface layers, using coverage density to determine the rationality of the observation system, thereby improving the evaluation rationality.

This invention belongs to the field of agricultural image processing technology and discloses a sensor distribution optimization method, a plant stem diameter measurement method, and a device for optical tomography of plant stems. The optimization method mainly involves determining the optimal detection range, and then measuring the plant stem diameter within this range. The specific steps are: 1. Acquiring the background light signal without placing the plant; 2. Acquiring the light signal from the plant stem; 3. Constructing a projection data matrix, obtaining the column vector of the projection data matrix through the background light signal and the plant stem light signal; 4. Performing image reconstruction to obtain a cross-sectional image of the plant stem; 5. Filtering and thresholding the cross-sectional image, calculating the total gray area, and then calculating the equivalent diameter of the plant stem using the total gray area. This method not only improves the light coverage density and distribution uniformity of the measurement area but also enhances measurement accuracy.

This invention provides a method for scene reconstruction and automatic correction using unmanned aerial vehicles (UAVs), belonging to the field of scene reconstruction and correction technology. It involves comprehensive data acquisition across different sub-regions, synchronously recording flight trajectory information for each round, and aligning sensor data with timestamps. A dynamic error compensation model is constructed, combining the dynamic parameter set of each round of random flight by the UAV to correct motion blur, environmental interference, and trajectory deviation errors in the acquired data. The corrected multi-round data is integrated to establish a spatial mapping between sub-region textures and point clouds, generating an initial 3D model. A closed-loop correction mechanism is constructed based on the UAV's GNSS absolute coordinates and high-precision ground control points to calculate the deviation of the initial 3D model. If the deviation exceeds a threshold, the random flight coverage density, flight rounds, and error compensation coefficients are adjusted in reverse until the deviation meets the standard. This improves the accuracy of scene reconstruction and correction.

The invention discloses a monitoring point layout method, device and equipment, a medium and a product. The method comprises the following steps: acquiring a monitoring point data set and an event data set corresponding to a target area; determining a monitoring thermal grid map corresponding to the target area according to the monitoring point data set; the monitoring heating power is used for representing the coverage density of monitoring points in the grid units; determining an event thermal grid map corresponding to the target area according to the event data set; the event heat is used for representing the risk level intensity of the event occurring in the grid unit; performing intersection negation operation on the monitoring thermal grid map and the event thermal grid map to obtain a to-be-monitored area corresponding to the target area; and determining a monitoring point layout scheme corresponding to the target area according to the to-be-deployed and controlled area. Through the technical scheme of the invention, the monitoring point location layout can be optimized based on the thermal grid map, and the event risk area is reasonably covered while the investment of redundant equipment is reduced.

The invention provides a design method, system, equipment and medium based on a residual gas well underground combined mining three-dimensional observation system, and belongs to the technical field of petroleum geophysical exploration. According to the method, aiming at the problems of complicated geological conditions and insufficient resolution of a conventional observation system in residual gas exploration, observation points are arranged by comprehensively analyzing geological condition factors and technical parameters of the observation system and adopting a multi-dimensional optimization strategy. The method specifically comprises the following steps: constructing a fitness function based on wave field energy coverage maximization, reflection interface coverage and geological parameter mean square error minimization, and carrying out adaptive observation point position design; according to the dimension difference of well-ground combined mining, ground excitation points are finely adjusted to make up a well periphery covering density gap; and on the basis of a static correction principle, according to topographic relief and reservoir heterogeneity characteristics, excitation and receiving parameters are adjusted in a partitioned manner. The method can effectively improve the signal-to-noise ratio and imaging precision of seismic data under complex geological conditions, accurately depicts the residual gas distribution, and improves the exploration efficiency.

The invention discloses a method and system for constructing a space-air-ground three-dimensional cooperative monitoring network system, and relates to the technical field of environment monitoring, and the method specifically comprises the following steps: dividing a monitoring grid aggregation task coordinate calculation density interpolation assignment generation block, correcting a coverage radius to normalize a node attribute generation capability list, and generating a monitoring grid aggregation task coordinate calculation density interpolation assignment generation capability list; screening efficient nodes to construct cost matrix bilateral matching, extracting feature vectors, calculating distances, identifying redundant nodes, removing redundancy, and supplementing candidate output space-ground-air collaborative configuration tables. According to the method, the monitoring block is dynamically generated based on the geographic grid, the coverage radius is corrected in combination with the node direction and the hot area distance, the normalization ability list is constructed, the task grid and the node are matched through the Hungary algorithm, the cost matrix is constructed to recognize the redundant node, self-adaptive matching of the node block is achieved, the resource allocation efficiency is improved, and parameter dependence is reduced; the monitoring blind area is reduced, the coverage density and the energy consumption level are balanced, and the emergency response sensitivity is enhanced.

The application provides a seismic visual early warning method combining monocular depth estimation and an optical flow method. The method realizes inversion of ground acceleration at a base of a street lamp type device by fusing monocular depth estimation and a robust optical flow algorithm suitable for a traffic scene, and can construct a distributed seismic monitoring network based on inversion data, solves the industry pain points of high deployment cost and insufficient coverage density of a traditional seismograph, and provides a high cost-effective solution for city-level earthquake early warning.

The embodiment of the invention provides a dust pollution detection method and system based on image recognition, and belongs to the technical field of image processing. The method comprises the following steps: acquiring a dust image group of a to-be-detected area, and determining a target image from the dust image group based on a preset screening rule; performing preprocessing on the target image to obtain a dust binary image; determining an improved gray average value used for representing the global coverage density of the dust based on the dust binary image, and determining a fractal dimension used for representing the local form complexity of the dust by adopting an improved box counting method based on the dust binary image; and constructing a pollution factor based on the improved gray average and the fractal dimension, and evaluating the dust pollution level according to the pollution factor. According to the scheme provided by the invention, the dust pollution state of the tunnel type semi-closed environment can be rapidly and stably quantitatively evaluated with structural discrimination.

The application discloses a kind of method and system, the method includes the following steps: according to the sharpness of single sharp node, the thickness of corner protector is obtained, according to the shape of the area covered by corner protector and the thickness of corner protector, the volume of corner protector is obtained;When the total volume of the required corner protector material is within the threshold value, the corner protector coverage density value before and after the corner protector coverage is obtained, and the corresponding collapse coefficient is obtained, the surface area of the plastic packaging material is obtained according to the product of the collapse coefficient and the correction coefficient according to the proportion of each region of the edge to the total area;Otherwise, according to the difference of score, the different thickness of the corresponding node on the packaging material is determined;Under the rule that the shape and volume of the packaging part are not changed and the overlapping edge node of the packaging part is within the threshold value, the packaging part combination is obtained, a cuboid is constructed according to the outermost tangent, and the packaging part is secondarily packaged by selecting the packaging group with the smallest total volume of gap and the length, width and height parameters within the threshold value, the application has the characteristics of improving the accuracy and efficiency of packaging service.

The invention relates to the technical field of intelligent detection, in particular to an unmanned aerial vehicle cluster scanning method for autonomous detection of road invisible cracks, which comprises the following steps of: according to a scanning task block, identifying a track curvature mutation point and an attitude angle jump interval, extracting a flight direction and attitude angle change curve, and analyzing spatial orientation consistency; screening out blocks deviating from the course, analyzing image coverage density and course overlapping rate, screening out blocks with abnormal matching, evaluating elevation change trend and deviation degree, and outputting an unmanned aerial vehicle cluster dynamic re-planning instruction set. According to the invention, a dynamic flight path and attitude angle recognition mechanism is introduced to ensure that the scanning task still has high accuracy in a complex environment, and the flight path between task blocks is dynamically adjusted by analyzing the flight direction vector and attitude angle change to ensure that the image coverage is uniform, and the scanning accuracy and integrity are improved. The cluster scanning cooperation efficiency can be evaluated in real time, and the task execution efficiency and accuracy are remarkably improved.

The invention provides a road bridge bearing capacity detection method and device. The method comprises the following steps: identifying stress wave propagation characteristics of sensing paths in stress wave propagation data of stress wave sensors on a target road bridge; determining the coverage density of all sensing paths to the detection area, and determining the speed confidence of the stress wave of each detection grid unit according to all stress wave propagation characteristics, the coverage density and the stress wave propagation time in each stress wave propagation data; determining the speed distribution characteristics of the stress waves in the target road bridge detection area according to the speed correlation characteristics of the stress waves between the adjacent detection grid units and all the speed confidence coefficients; and distinguishing a healthy area, a bearing capacity attenuation area and a dangerous area of the target road bridge based on the speed distribution characteristics of the stress waves. By adopting the scheme of the invention, the bearing capacity of the road bridge can be detected based on the intrinsic mechanical association and performance conduction characteristics of the road bridge.