379 results about "Contour line" patented technology

The invention discloses a tunnel blasting quality evaluation and optimization method based on multi-source data fusion, and belongs to the field of tunnel blasting quality evaluation, and the method comprises the steps: collecting and preprocessing multi-source data of a tunnel blasting region; based on the preprocessed multi-source data, performing blasting quality evaluation according to local back break, a blasting contour line, average linear back break and point cloud extraction to obtain a blasting quality evaluation result; according to the blasting quality evaluation result, the blasting quality is graded, and a comprehensive blasting quality score is calculated and graded; and establishing a database containing geological parameters, surrounding rock response parameters and blasting process parameters, training through a convolutional neural network model to generate a blasting parameter optimization scheme, and dynamically adjusting blasting parameters of the next cycle according to the comprehensive blasting quality score. According to the method, the blasting parameter optimization and the quality evaluation process are closely combined to form a closed-loop system, the specific situation in the construction can be reflected in real time, and the accuracy of the blasting effect is ensured.

The invention discloses a tunnel back break detection method, system and device and a medium, and particularly relates to the technical field of tunnel detection, and is characterized in that a point cloud feature vector and an image feature vector are fused by using a space-channel attention mechanism, and deconvolution processing is performed on a multi-dimensional fusion feature vector and tunnel point cloud data; concave points are detected according to the two-dimensional edge point set of the tunnel point cloud contour model, and a local concave envelope contour is constructed based on a detection result; fusing the pre-generated convex hull contour and the local concave hull contour to obtain a closed actual measurement section line; performing concave region division on the tunnel point cloud contour model based on the constraint parameter set to obtain a constraint effective feature point set; constructing a constraint actual measurement contour line by utilizing the geometric parameters of the design section and the constraint effective feature point set; fusing the closed actually-measured section line and the constrained actually-measured contour line to obtain a final actually-measured section line; and carrying out back break detection on the tunnel by utilizing the tunnel design section and the final actually measured section line to obtain a back break detection result.

The invention provides a three-dimensional visual model construction method and system for a mine slope, and relates to the technical field of data processing, and the method comprises the steps: obtaining the inclined image data of the mine slope; performing error correction on the inclined image data; performing live-action modeling according to the inclined image data after error correction to obtain a three-dimensional grid model and a point cloud data file; generating a digital terrain model according to the point cloud data file; extracting a contour line of the digital terrain model, and exporting a contour line file; generating a three-dimensional terrain curved surface by using a terrain data generator according to the contour line file; the three-dimensional terrain curved surface extends downwards by a preset depth, and a three-dimensional entity slope model is generated; physical parameters of side slope rock soil are set, and a Moire-Coulomb intensity criterion is given to the three-dimensional entity side slope model so as to simulate shear failure characteristics of the rock soil; on the basis of shear failure characteristics of rock and soil, grid division is carried out on the three-dimensional solid slope model; and generating a three-dimensional visual model of the mine slope.

The embodiment of the invention discloses a feature recognition labeling method and system applied to three-dimensional tunnel modeling, and the method comprises the steps: firstly carrying out the preprocessing of an obtained tunnel construction design drawing and point cloud scanning data of a corresponding construction stage, and obtaining a three-dimensional tunnel model data set with a space coordinate alignment relation; the three-dimensional tunnel model data set comprises a multi-source data fused structural point cloud unit and a design drawing vectorized contour line unit; secondly, performing three-dimensional structure feature extraction on the data set to obtain geometric morphology features of a structure point cloud unit and structure correlation features of a contour line unit; then carrying out conjoint analysis on the two features through a deep learning network to generate a feature analysis result containing feature response distribution; and finally, based on the result, identifying and labeling a key structure region in the three-dimensional tunnel model data set, generating a feature identification and labeling result containing feature type labels and spatial position information, and providing more accurate analysis and management basis for tunnel construction.

A method, system, medium and program product for measuring a volume based on elevation measurement, the method comprising: determining historical topographic feature data; elevation values of all positions in the mining area in different time periods are extracted; calculating a topographic relief change rule according to the elevation value, and establishing a topographic evolution model according to the topographic relief change rule; extracting terrain boundary feature points and ponding area contour lines from the unmanned aerial vehicle inclined image data; dividing a plurality of local terrain units according to the terrain boundary feature points, and calculating an elevation difference to obtain a gradient change coefficient; determining a terrain prediction model of each local terrain unit; splicing and reconstructing the terrain prediction model of each local terrain unit to obtain underwater terrain estimation data of the ponding area; constructing a mining area terrain model according to the underwater terrain estimation data and the terrain data; and calculating the earthwork excavation volume in the mining area according to the mining area terrain model. According to the invention, the accuracy of mining volume measurement is improved.

The invention relates to the technical field of land layout, and discloses a BIM platform-based land reclamation project automatic rapid layout method and system, and the method comprises the steps: obtaining the site topographic data of an excavation region, obtaining an original landform BIM model of a field based on the data, carrying out the screening, enabling the screened original landform BIM model of the field not to comprise a super-slope region, and carrying out the screening of the original landform BIM model of the field; arranging a terrace according to the contour line to obtain a field piece line, performing grouping based on the contour line interval where the height of the point cloud data is located, calculating a field surface design elevation, and establishing a preliminary terrace model on the basis of the original landform BIM model of the field piece based on the field piece line, the gross width of the terrace and the field surface design elevation; and establishing a ridge and ridge model on the basis of the preliminary terrace model according to the field surface clear width, the ridge width and the ridge height. According to the invention, a convenient, rapid and intelligent field distribution scheme is provided for a land leveling construction project in the hilly area, so that fine improvement construction of the terrace type terraced field in the hilly area is realized.

The invention discloses a BIM (Building Information Modeling)-based building component attribute matching method and a BIM-based building component attribute matching system, contour line segments of a target and a reference component are segmented, curvature change values are recorded, and the local feature expression capability is enhanced. Then, dynamic adjustment parameters are introduced to optimize eigenvector weighting processing, so that the matching process adapts to different shape complexity, and mismatching is avoided; and then, identifying a local similar region by comparing the corrected matching parameter set, and generating a registration mapping relation, thereby improving the accuracy of space consistency judgment. A matching priority matrix is constructed based on the mapping relation and the shape distribution difference, high-matching-degree candidate components are quickly screened, and the matching efficiency is improved. Finally, a feedback adjustment mechanism is adopted in the attribute verification stage, it is ensured that the matching result meets the preset precision requirement, and self-adaptive optimization is achieved. The method effectively solves the problems of low precision and poor stability in non-standard geometric component matching in the prior art, and has important practical value.

The invention relates to the technical field of tunnel and underground engineering construction, and discloses an intelligent closed-loop control system and method for a tunnel construction section contour, and the method comprises the steps: collecting geological-geometric data through the fusion of a three-dimensional laser scanner and a geological radar before blasting; dynamically generating a theoretical blasting contour line and adaptive blasting parameters through a convolutional neural network; iMU positioning and a PID controller are combined to realize millimeter-level accurate control of the drill boom; generating a three-dimensional deviation field by adopting an iterative point cloud registration algorithm after blasting; when the deviation exceeds a threshold value, triggering incremental learning to optimize model parameters; and finally, closed-loop iteration is formed. Through multi-source data fusion, contour and parameter intelligent generation, precise execution control, three-dimensional deviation field feedback and an incremental learning mechanism, a complete intelligent closed-loop control system is constructed, the limitation of traditional blasting design depending on experience is broken through, and the precision, efficiency and economic benefits of tunnel construction are remarkably improved.

The invention relates to a GIS-based site selection method for generally selecting a high depression as an upper reservoir of a pumped storage power station, and relates to the technical field of site selection of pumped storage power stations. Identifying and extracting depression as a generally selected site by using a maximum closed contour line; basic engineering attributes of the generally selected site are calculated; upper reservoir sites meeting the basic construction conditions are screened out according to terrain attributes; and carrying out scoring calculation on the optimal sites to obtain an optimal sequence. According to the method, the closed high-position depression meeting the construction requirement near the sufficient water source is screened out as the optimal site by utilizing important terrain indexes, and the shortest water delivery path and the optimal sequence of the upper reservoir and the lower reservoir are given, so that batch, accurate and rapid site selection is realized, and the site selection efficiency of the pumped storage power station is improved.

The invention belongs to the technical field of three-dimensional modeling, and particularly relates to a BIM-based rock-soil space three-dimensional construction method. Comprising the following steps: acquiring three-dimensional point cloud data and geological drilling data, and extracting rock-soil geological parameter characteristics; preprocessing the point cloud data, and extracting surface feature points and contour lines to generate a point cloud feature data set; registering and fusing the two types of data to generate a rock-soil space fusion data set; constructing a three-dimensional model by using a BIM platform based on the data set; and carrying out precision verification and optimization on the model. According to the method, through multi-modal feature extraction, targeted point cloud preprocessing, layered feature point registration and perfect precision verification, the multi-source data fusion precision and the model reliability are improved, and the fine modeling requirement of geotechnical engineering is met.

The invention discloses an image alignment method and device, equipment and a storage medium, and relates to the field of image processing. According to the scheme, a to-be-detected circuit board scanning graph is obtained, and any unit area in the to-be-detected circuit board is recognized and extracted; based on a preset segmentation rule, segmenting the unit area into a plurality of subareas, and generating a window image set; and extracting window images in the window image set, mapping the window images to a mother layout corresponding to the Pcs particle image one by one according to image contours, and carrying out image alignment according to the image contours so as to carry out defect detection according to the mother layout. The method comprises the following steps: carrying out rasterization segmentation on a circuit board area image, and mapping the image to a target position in a mother layout in a manner that each window image is matched and aligned one by one; and each window image can be compared with the contour line of the mother layout as much as possible, the problems of element missing, dislocation, addition and damage are detected, and the subsequent defect detection precision is improved.

The invention discloses a special terrain extraction method for water conservancy based on a laser radar and satellite remote sensing. The method comprises the following steps: acquiring satellite radar data and satellite remote sensing data of a preset area; performing comparison and discrimination area division according to the radar data and the remote sensing data to obtain a live area and a fuzzy area, and performing water conservancy boundary and terrain extraction on the live area to obtain first data; carrying out collaborative complementary measurement on the fuzzy region to obtain covered water conservancy data, and carrying out water conservancy boundary and terrain extraction on the covered water conservancy data by adopting a closed contour line to obtain second data; according to the first data and the second data, constructing a time sequence water conservancy topology dedicated terrain extraction model, and extracting water conservancy terrain data DEM1 of a preset area; and constructing a two-dimensional hydrodynamic model on the basis of the topographic data and the water conservancy boundary of the preset area to perform flood inundation simulation, extracting a wading area according to an inundation range, and generating water-land integrated HDEM data of the preset area.

The invention discloses a gas extraction method based on a transparent gas geologic model, and relates to the field of mine extraction. Comprising the following steps: acquiring geological basic information through a plurality of geological monitoring systems; performing exploration line sectioning on the initial geological model, connecting a triangulation network according to the geological trend, constructing a closed geological contour line, forming a solid model, performing solid model fusion, and establishing a basic geological model; the method comprises the following steps: acquiring gas monitoring information through a plurality of gas monitoring systems, and constructing a transparent gas geologic model; constructing a gas extraction decision model according to the transparent gas geologic model; and obtaining a gas extraction scheme based on the gas extraction decision model according to gas extraction requirements. According to the method, the gas extraction scheme is obtained through the model, the defect that decision making completely depends on human experience is overcome, the scientificity of obtaining the gas extraction scheme is improved, and a reliable basis is provided for gas extraction operation of workers.

The invention discloses a new energy grid-connected system small signal stable working condition interval and stability margin determination method. The method comprises the steps that S1, a multivariable equivalent binary open-loop transfer function of a new energy grid-connected system about different operation working condition variables is acquired; s2, calculating a phase characteristic and an amplitude characteristic of the multivariable open-loop transfer function; s3, the phase characteristic is set to be phi k, and the amplitude characteristic is set to be 0dB; drawing a multi-phase contour map comprising a plurality of phase contour lines and amplitude contour lines; wherein phi k is a phase value related to the critical stability of the new energy grid-connected system; and S4, calculating the phase margin of the new energy grid-connected system at the intersection point of the phase contour line and the amplitude contour line, and determining the stable working condition interval of the new energy grid-connected system according to the operation working condition variable corresponding to the intersection point of the phase contour line and the amplitude contour line. According to the method, the stable operation interval of the grid-connected system in the whole operation working condition range can be obtained, and the distribution rule of the stability margin of the grid-connected system under different working conditions can be evaluated.

The invention relates to the field of water level measurement, and provides a virtual digital water gauge generation method and a water level measurement method in order to overcome the defects of traditional water level measurement, enrich water level measurement means and assist in improving water level measurement precision. Extracting and generating a vectorized virtual digital water gauge as a leveling rod; by means of a three-dimensional map engine, oblique photography data, video stream data and virtual digital water gauge data are fused and overlapped, a spatialized video stream is projected into a three-dimensional map scene, overlapping comparison of a real-time video water surface and a virtual digital water gauge scale in the same three-dimensional scene is achieved, and the real-time video water surface and the virtual digital water gauge scale are displayed in a three-dimensional visualization mode. The water level of the water body in the target monitoring area is measured, and the measurement applicability and accuracy are higher.

The invention provides a smooth non-uniform rational B-spline three-dimensional terrain entity fitting creation method and system, which are mainly applied to the field of pumped storage power station engineering and realize efficient conversion from a two-dimensional contour line to a smooth terrain entity. According to the method, a technical route of an NURBS terrain entity is finally generated by establishing a triangulation network curved surface, specifying a boundary, converting DEM data, creating a grid curved surface, extracting control points and fitting an NURBS curve in a UV direction. Converting the contour line into DEM data and creating a grid curved surface; extracting control points and respectively fitting NURBS curve groups according to U / V directions; a complete NURBS three-dimensional terrain entity is formed by enclosing the surface curved surface, the bottom plane and the four side curved surfaces. According to the method, on-demand adjustment of terrain precision can be achieved, the generated entity can be directly used for CAE simulation calculation and can be combined with a panel dam partition amount calculation algorithm, and the engineering design efficiency is improved.

The invention relates to the technical field of three-dimensional measurement, and discloses a method and system for measuring the transparent dispensing volume, a computer readable storage medium and a computer program product. The method comprises the following steps: placing transparent dispensing glue on a preset metal sheet, and shooting to obtain cross section contour image data of the transparent dispensing glue; extracting a laser stripe center contour line of the two-dimensional contour slice; reconstructing a complete three-dimensional depth distribution model to obtain a dispensing depth map; carrying out plane attitude correction to realize fitting; performing three-dimensional connected domain analysis on the fitted dispensing depth map to screen out a dispensing volume measurement area; and calculating the dispensing volume in the dispensing volume measurement area by using a projection method. In combination with a depth map processing algorithm, high-speed and high-precision measurement of the dispensing volume is realized, so that the dispensing volume before dispensing is accurately controlled, and the method has important significance on product quality control in dispensing process production.

The embodiment of the invention discloses a low-altitude wind shear early warning method and device based on multi-source meteorological data. A specific embodiment of the method comprises the steps of generating a first region of interest for a target region according to a contour topographic map; determining a second region of interest according to the real-time rainfall distribution diagram and the real-time air temperature distribution diagram; performing region optimization on the first region of interest according to the real-time wind field graph to obtain a third region of interest; generating a fourth region of interest according to the second region of interest and the third region of interest; and according to the fourth region of interest and a pre-trained low-altitude wind shear prediction model, generating wind shear region early warning information. According to the embodiment, accurate prediction of the wind shear is realized, so that early warning is performed on the low-altitude aviation equipment, and the navigation safety of the low-altitude aviation equipment is ensured.

According to the underwater terrain contour matching and positioning method, device and equipment and the storage medium, Zernike moments under respective polar coordinate systems are calculated based on a sounding point data set and a matching point data set, respective feature vector sets are constructed, matching point data with the highest similarity with the sounding point data set are selected from the matching point data set to serve as an optimal matching and positioning template, and the matching and positioning accuracy of the underwater terrain contour is improved. Accurate positioning is ensured; correcting the course angle deviation by using the phase angle information of the optimal matching positioning template feature vector, accurately adjusting the position of each sounding point, and interpolating and optimizing the inertial navigation indication track; a group of parallel and symmetrical reference sounding tracks are generated, the interval is dynamically adjusted by adopting a cross correlation algorithm so as to maximize the difference degree between terrain contours corresponding to the tracks, a highly optimized track terrain contour line set is obtained, the track terrain contour line set is finely matched with a prior digital map, and the precision of the track terrain contour line set is improved. And the central track of the optimal track group is selected as a position estimation basis, so that the influence of course indication deviation on a positioning result is effectively solved.

The invention discloses a method for generating a cutting track of a convex riser on the surface of a casting based on machine vision, and the method comprises the steps: carrying out the self-adaptive anisotropic downsampling of an original point cloud, so as to reduce the data volume while keeping key geometric features; performing robust principal component analysis plane fitting on a point cloud downsampling result to obtain a reference plane parameter of the casting body under a preset coordinate system; differential geometry-based riser region segmentation is carried out on the point cloud downsampling result according to the reference plane parameters, and convex riser region point clouds are obtained; according to the point cloud of the convex riser region, constructing a triangular mesh curved surface about the surface of the convex riser; performing plane cutting on the triangular mesh curved surface to obtain a cutting contour line; based on a beam projection method, an initial cutting path is obtained according to the cutting contour line; and constructing a cutting path optimization energy functional so as to optimize the initial cutting path to generate an optimal cutting track of the convex riser on the surface of the casting. The problems that a traditional manual cutting mode is low in cutting efficiency, poor in precision, poor in consistency and large in potential safety hazard are solved.

The invention relates to a fixed-length log scale measuring device and method based on deep learning, and belongs to the technical field of machine vision. According to the technical scheme, a photographing module is a camera internally provided with a light supplementing lamp, a lens of the camera vertically faces the log end face in the middle of a display screen picture, the front face and the back face of the single log end face are photographed, and the light supplementing lamp is used for assisting photographing during photographing; the image processing module is used for processing the shot images and converting each log end face contour line into a contour diagram composed of 720 points; the laser ranging module is used for measuring the distance between the lens and the log or the log stack. According to the method, an artificial intelligence convolutional neural network deep learning technology is adopted to train portable equipment to automatically calculate the average value of the shortest diameter and the vertical diameter of a log end face small head as the log diameter; on the basis of the national standard, on the basis of the purposes of practicability, portability, low cost and convenience in popularization, the efficiency and the speed of the log ruler are improved.

The invention provides a route planning method and system based on terrain recognition, and the method comprises the steps: obtaining an initial driving route through constructing a directed graph, carrying out the analysis of terrain distribution information and image data, determining the distribution of various terrain types, carrying out the segmentation of the initial driving route, calculating the passing time of each segment of the route, and carrying out the calculation of the passing time of each segment of the route. Compared with the prior art, the method has the advantages that the passing time is determined based on the terrain type and used for screening the path segments, the multiple initial driving paths based on the directed graph are reduced to a small range, and the accuracy of path planning is effectively improved; in addition, contour line information of the target area is considered, gradient information is obtained through analysis, abnormal segments are analyzed in combination with continuity of contour lines, the driving paths with passing time smaller than a preset time threshold value are screened out under the condition that the abnormal segments are removed, then the target path is planned again, factors such as gradient and contour line abnormity can be further considered, and the accuracy of planning the target path is improved. And the accuracy of path planning is further improved.

The invention relates to the technical field of airport noise prediction. The airport noise map isoline calculation method and system based on multi-source data fusion are provided, and the method comprises the following steps: carrying out space-time alignment fusion processing on multi-source heterogeneous data to generate a space-time synchronous standardized data set; processing through a track-noise coupling calculation unit to generate a single event noise value containing a meteorological correction factor; performing dynamic gridding accumulation calculation processing on the single event noise value to generate a noise evaluation quantity grid matrix with a time stamp; processing is carried out through a curvature-driven adaptive contour line generation unit, and a fidelity-optimized noise contour map is generated; and selecting a real-time lightweight channel or a distributed batch processing channel for processing based on the calculation mode decision-making unit, and outputting a noise contour map with optimized fidelity, so as to achieve the technical effects of improving noise positioning precision, reducing modeling errors in a dynamic flight environment and improving the fidelity of geographic features of contour lines.

The invention discloses a multi-beam seabed detection route optimization method, which comprises the following steps of: drawing a rough shape of a seabed according to single-beam measurement data, reasonably dividing a to-be-detected area into standard rectangular areas, and then respectively detecting routes of the divided detection areas along a contour line direction, a mathematical model is adopted to calculate the coordinates of the measuring lines, the signal coverage width of the measuring lines and the overlapping rate between adjacent strips respectively, then a measuring line group which meets the signal coverage width requirement (10%-20%) and can completely cover the whole detection area and has the shortest length is selected, namely, the measuring line group with the shortest length cannot be missed in detection, the overlapping rate is low, the detection route is shortest, and the detection accuracy is high. And the detection route is lowest in cost.

The invention provides a quantitative characterization method and a quantitative characterization system for oil and gas transport efficiency of a sandstone lateral migration channel, and the method comprises the steps: obtaining a contour line included angle and a target stratum inclination angle of each well position at two sides of a construction ridge or valley according to a target stratum top surface construction contour map, and constructing a construction ridge or valley transport index according to the contour line included angle; buoyancy borne by the target stratum of each well position is obtained according to the target stratum dip angle; obtaining the residual pressure difference gradient of each well position according to the target layer pressure plane distribution diagram; superposing the contour map of the top surface structure of the target stratum and the pressure plane distribution map to obtain an included angle between an inclined reverse extension line and a residual pressure difference gradient direction in the target stratum of each well position; obtaining the weighted average permeability and the porosity of the target layer of each well location, the ridge or valley construction conduction index of each well location, the buoyancy borne by the target layer, the residual pressure difference gradient and the included angle to construct comprehensive evaluation indexes of each well location; and quantitatively characterizing the oil and gas transport efficiency of the sandstone lateral migration channel by using the comprehensive evaluation indexes of each well location. According to the invention, the lateral conduction channel conduction efficiency can be evaluated visually, simply and conveniently.

The invention discloses an energy-saving and consumption-reducing tunnel excavation method of a cantilever type heading machine under the action of gravity. The energy-saving and consumption-reducing tunnel excavation method comprises the following steps: step 1, drawing a geological form map; step 2, identifying an excavation contour line of the tunnel; step 3, constructing an initial free face; step 4, constructing a contour boundary groove; 5, drilling holes in the tunnel face at intervals, and sequentially stretching a rock stratum crushing device into each drill hole to perform fracturing operation; 6, the cutting head is controlled to conduct circuitous cutting in the trend of the rock stratum; in the excavation process, a rock stratum crushing device is used for moving along a cutting path; and step 7, trimming the contour boundary groove. According to the invention, the contact time of the cutting pick and the hard rock can be effectively reduced, and the abrasion of the cutting head is reduced; the rock is caved by utilizing gravity, so that the excavation efficiency is improved; the mechanical load is optimized, and the service life of equipment is prolonged; and meanwhile, the stress is released step by step, and the probability of sudden collapse risk is reduced. The method is suitable for the technical field of tunnel construction.

The invention discloses a coal mine goaf ignition area detection method, which belongs to the field of coal mine safety, and comprises the following steps: S1, delimiting a detection area; s2, delimiting a target measuring point; s3, defining a reference measuring point; s4, calibrating coordinate information of the measuring points; s5, measuring the radon value of the measuring point; radon value measurement is carried out on each reference measurement point, and an average value is taken as a local radon value reference value and is recorded as K; a radon measuring instrument is adopted to measure radon values of all the target measuring points, the radon values are recorded as L, and coordinate information of all the target measuring points and a corresponding radon value data table are drawn; s6, defining a fire area detection range; importing the data table into drawing software, generating a radon value contour map, and dividing the radon value contour map into three grades of fire areas according to different radon value intervals, namely an I area and an extremely easy fire area, L being greater than 5K; in the second zone, L is greater than or equal to 2K and less than or equal to 5K in a medium ignition zone; and the third area is a difficult-to-ignite area, and L is less than 2K. According to the method, the radon value abnormal region is accurately delimited through the radon value contour map, and a basis is provided for accurate positioning of a goaf fire source.

The invention belongs to the technical field of reservoir dam line design, and provides an automatic determining method and system for a dam site of a whole-reservoir anti-seepage pumped storage reservoir. The method comprises the following steps: S1, extracting a contour line of a terrain curved surface corresponding to the elevation of a hydropower station; s2, selecting a contour line with the largest enclosed area range; s3, generating a convex hull for the selected contour line; s4, poles of the convex hulls are connected into a plurality of straight line sections li, the poles cut off the contour line into a plurality of curved line sections pli, and i closed areas are defined by the straight line sections li and the curved line sections pli; s5, selecting a closed area of which the volume is greater than a preset value V; s6, traversing a point j on the curve segment pli, drawing a vertical line nj from the point j to the straight line segment li, calculating the length hj of the vertical line nj, obtaining the length hijmax of the longest vertical line of each closed area, and calculating the ratio k of the hijmax to the straight line segment li; s7, setting a threshold value a, and selecting kgt; a closed area of a is used as a selected dam address. The method can accurately select sites, reduces man-made interference, and is suitable for various terrain environments.

The invention relates to the field of image processing, discloses a marine environment change monitoring method and device based on a remote sensing image and a medium, and provides a powerful tool for decision support by visually displaying risk distribution in a pseudo-color image form. Comprising the following steps: acquiring an original sea surface temperature image, performing fractional order differential enhancement processing, generating an enhanced temperature gradient map, extracting a frontal surface topological feature matrix, extracting a chlorophyll concentration map by using a multispectral remote sensing image, constructing a multiband phase coherent field, generating an ecological feature tensor field, and generating a multi-scale fusion image. And extracting a feature contour line based on the image, calculating a curvature gradient, generating a thermodynamic diagram, and outputting a marine environment dynamic risk map. According to the method, multi-source remote sensing data are fused, comprehensive, accurate and real-time monitoring of marine environment changes is realized through multi-scale analysis and feature enhancement, and powerful technical support is provided for marine environment management, disaster early warning and ecological protection.

In non-limiting examples of the present disclosure, systems and methods for dynamically updating contour maps are provided. A first water level for a body of water may be determined by a computing device. A location within the body of water may be identified. A second water level relating to the identified location within the body of water may be determined, and the second water level and the first water level may be compared. Upon comparing the first and second water levels, a contour map for the body of water may be automatically updated.