298 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 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 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 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 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 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.

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 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 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 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.

The invention provides a sea target drifting trajectory prediction method and system based on a Transform-GRU and MDN mixed depth model. The method comprises the steps of S1, obtaining initial data of a search and rescue task and constructing a target feature vector about a search and rescue target type; s2, historical environment field data and future environment field forecast data are acquired, data preprocessing is performed, and a historical environment field time sequence feature sequence and a future environment field time sequence feature sequence are acquired; s3, performing dynamic weighted fusion on the target feature vector and a historical environment field time sequence feature sequence; s4, the fusion features are input into a Transform encoder for feature extraction, and context vectors are obtained; s5, taking the context vector as the initial hidden state of a GRU decoder, and predicting the final position of the search and rescue target according to the input by the GRU decoder; s6, enabling the output of the GRU decoder to pass through a mixed density network (MDN), and obtaining a probability distribution parameter representing a future position; and S7, generating and drawing a target probability density contour map in real time according to the probability distribution parameters, and performing visual display.

The invention discloses a multi-period point cloud registration method and system in a ground station scene, and the method comprises the steps: collecting point cloud data at different times through a ground type three-dimensional laser scanner, and cutting out a monitoring region and a non-monitoring region; calculating point cloud local attributes in a non-monitoring area, searching generalized feature points, calculating advanced feature descriptors of the generalized feature points, and performing preliminary registration based on homonymy points; comparing the homonymy point features of the preliminarily registered point clouds, constructing a normalized weighting function, determining point position changes according to function values, sorting weighted values, and selecting the first N points with the minimum changes in the point clouds in the two periods as global invariant or tiny change points as registration key points. And on the basis of the key points, iterative reweighted least square constraint ICP registration with the weight fixed by an IGGIII method is used, and points with large differences are eliminated to realize fine registration. And establishing an elevation change contour map based on the registered point cloud, rendering and displaying deformation, and analyzing the trend according to the density of contour lines. Registration error accumulation caused by environmental factors is avoided, and a guarantee is provided for accurate deformation evaluation.

The embodiment of the invention provides a site selection method of a pumped storage power station and related equipment, and belongs to the technical field of information processing. The method comprises the following steps: acquiring and identifying a river system and a contour line through topographic data; traversing all river systems, identifying a source node, a confluence node and an outflow node according to the beginning and end of the water system and the intersection condition of the water system, and generating discrete nodes according to a communication path so as to mark each water system node in the river system; calculating a reservoir area range and an optimal dam line of a reservoir at each water system node according to the water system nodes and the contour lines; generating a closed image according to the optimal dam line and the contour line, and calculating the limit storage capacity, the water level area curve and the water level storage capacity curve of the reservoir at the water system node; and screening to obtain a target reservoir through preset dam characteristic parameters according to the limit reservoir capacity, the water level area curve and the water level reservoir capacity curve of the reservoir at each water system node. According to the embodiment of the invention, omission of a high-quality dam site can be effectively avoided.

A route planning method, route planning device and mowing robot are provided to address the issue of mowing robots slipping on slopes, improve mowing performance on slopes, and enhances the mowing efficiency in such terrains. In the method, gradient data and height data corresponding to a mowing area are obtained. A contour map is drawn based on the gradient data and the height data. A mowing trigger request is received, and in response, a mowing route corresponding to the mowing robot is generated based on the contour map and position information of the mowing robot. The mowing robot is then controlled to perform mowing operations based on the mowing route.

The invention discloses a mountainous area surface matrix physical property prediction method, and relates to the technical field of geological exploration, and the method comprises the steps: obtaining mountainous area surface point cloud data, separating vegetation from ground points through a point cloud classification algorithm, and generating a digital elevation model and a digital surface model; based on the digital elevation model and the digital surface model, a quantum gravity gradiometer is adopted to move along a contour line for measurement, a gravity gradient tensor is obtained, terrain interference signals are eliminated, and a vertical density profile is obtained through inversion; identifying a density abnormal region according to the vertical density profile, acquiring an undisturbed soil column sample by adopting a drilling unit, determining a grain composition and moisture characteristic curve, performing DNA extraction and microorganism sequencing on the undisturbed soil column sample, and calculating the relative abundance of the nitro spirillum phylum. According to the method, the dynamic coupling model is constructed through fusion of quantum gravity gradient measurement and microbiological omics data, and the problem of insufficient vertical density-permeability coefficient coupling modeling precision of a traditional method is solved.

The invention relates to the technical field of geotechnical engineering, in particular to a simulation calculation method and system based on side slope digital twins. The method comprises the following steps: acquiring airborne laser radar data, generating a slope contour line, and obtaining slope contour line data; performing slope section stability analysis according to the slope contour line data to obtain slope section stability data; obtaining side slope geological data; according to the slope geological data, constructing a slope digital base plate, including constructing a surface simulation layer, a topographic geological layer and a dynamic effect layer, so as to obtain a slope digital base plate architecture; identifying a slope unstable area according to the slope section stability data; reinforcement optimization is conducted based on the slope unstable area, and slope reinforcement optimization data are obtained; and construction sequence optimization is conducted according to the slope reinforcement optimization data, and construction sequence data are obtained. The slope stability evaluation and reinforcement construction efficiency and accuracy are improved based on the geotechnical engineering technology.

The invention relates to a profile steel defect detection method, device and equipment based on a three-dimensional point cloud and a medium, and relates to the technical field of profile steel defect detection.The method comprises the steps that a current contour line corresponding to a current plane is obtained based on the three-dimensional point cloud corresponding to profile steel to be detected; obtaining an angle value of an included angle between the current contour line and a horizontal line; based on the angle value, rotating the three-dimensional point cloud so as to enable the current plane to rotate to a horizontal position; based on the rotated three-dimensional point cloud, converting the plane point cloud corresponding to the current plane into a depth map; based on the depth map, defect information corresponding to the current plane is obtained, and the defect information comprises defect positions and defect types. According to the method and the device, a three-dimensional point cloud data processing problem with extremely high calculation complexity is converted into an efficient two-dimensional image processing problem, human subjective factors in a detection process are eliminated, so that the detection speed is increased by an order of magnitude, and the detection efficiency is improved.

The invention relates to the technical field of medical image processing, in particular to an acupuncture guide system based on image registration. According to the method, the height parameter field of the human body surface three-dimensional model is established and the contour line density distribution is extracted, so that hierarchical division and density aggregation identification of morphological characteristics of a target area can be realized, and local geometric characteristic identification is carried out by carrying out tangential analysis on direction changes of continuous contour line segments and combining Gaussian curvature. According to the method, geometric abnormal point locations of the surface structure can be accurately calibrated, and an area with direction stability and geometric continuity can be discriminated in multi-point data in combination with a space consistency judgment mechanism in the normal direction, so that the space identification process is more robust, and the accuracy of the space identification is improved. Multi-feature re-check judgment of a fitting end point can be realized through density peak value and normal consistency dual screening, the spatial accuracy of a positioning point is guaranteed, and the consistency of structural continuity and visual guidance information can be considered through a path construction mode generated by combining an image registration result and image gradient information.

The invention provides a material taking control method and system of a gate-type bucket-wheel material taking machine and a storage medium. The method comprises the steps that a material pile is divided into a plurality of to-be-taken material layers in the height direction, and the contour line of the lower surface of the current to-be-taken material layer is projected to a two-dimensional plane to obtain a material taking area; the material taking range is confirmed according to the intersection point of a transverse material taking straight line where the bucket wheel is located and the material taking area, the total time for completing material taking in the material taking range is calculated according to the total material taking amount in the material taking range and the set material taking volume flow, and the running speed of the bucket wheel in the material taking stroke is calculated according to the total time and the material taking stroke of the bucket wheel in the X-axis direction; and then the bucket wheel is controlled to act to complete material taking within the current material taking range. According to the control method, it can be guaranteed that the material taking volume flow in the material taking range each time is constant, and the problem that the material taking volume flow is unstable is solved.

This invention discloses a three-dimensional modeling method for the true shape of boulders in a soil-rock fill slope, comprising: Step 1, acquiring the two-dimensional projections of the boulders of the actual soil-rock fill slope onto three orthogonal planes; Step 2, obtaining the coordinates of the two-dimensional projection contour points, calculating the centroid of the contour line, moving the centroid to the origin of the coordinate system, and recalculating the coordinates of the contour points; Step 3, segmenting the contour line into spatial regions based on the projections of the boulders on the XOZ and YOZ planes, and randomly reconstructing a contour line; Step 4, performing compatibility analysis on the XOY plane and correcting the reconstructed contour line; Step 5, randomly constructing several contour lines within each spatial region; Step 6, generating a three-dimensional geometric model with a true shape based on the contour lines. The method of this invention constructs a three-dimensional realistic model based on the true shape of the boulders, resulting in higher accuracy in subsequent finite element analysis of the stability of the soil-rock fill slope from a heterogeneous perspective.

The present application relates to a kind of groundwater organic pollution tracing analysis method and system based on isotope, the method comprises: collecting the pollutant parameter of monitoring point in multiple time intervals;Build target monitoring point set;Its coverage area is called target area;Based on typical time interval, the pollutant parameter of each monitoring point in analysis target monitoring point set is found to obtain the contour line corresponding to pollutant parameter type;The area in the contour line of each pollutant type high pollutant parameter is regarded as suspected area;Determine target pollution source in suspected area based on isotope parameter.The present application fully utilizes big data monitoring resources from space and time, combines pollutant parameter itself and optimally uses isotope analysis resources, and the tracking of pollution source is guided to provide efficient multi-source burst differentiating pollutant tracing.

The invention discloses a mountain landscape balance degree quantitative evaluation method based on a simulation effect, and the method comprises the steps: simulating a to-be-evaluated mountain landscape effect, and exporting a simulation effect picture; performing image segmentation on the simulation effect image according to the pixel values to obtain a complex color block image; simplifying the complex color block map by using a clustering algorithm to obtain a simple color block map; extracting mountain contour lines of all levels based on the simple color block map; smoothing and vectorizing the mountain contour line of each level to obtain a vector mountain contour line of each level; calculating the equilibrium coefficient of the vector mountain contour line of each level in different view ranges; and obtaining an evaluation result by integrating the equilibrium coefficients of the mountain contour lines at all levels. According to the method, the evaluation result is relatively objective, and reliable technical guidance is provided for objective evaluation in real and virtual mountain landscape design; an evaluation object is a simulated mountain landscape effect and corresponds to a mountain landscape design result, and an evaluation result can be linked with upstream and downstream design links to directly guide design optimization.

The invention provides and discloses a small-section hydraulic engineering tunnel blasting construction method which can optimize peripheral holes and excavate slotted holes, can adjust drilling and charging parameters in real time according to geological conditions, realizes accurate excavation contour control, and ensures that the blasting effect of each time is consistent by optimizing blasting parameters and a blasting sequence. The construction risk is reduced. The method comprises the following steps: determining an excavation contour line of an engineering tunnel; peripheral holes are drilled in the positions, with the preset distance, of the inner side of a contour line excavated along the engineering tunnel, a multi-hole and less-charge structure is adopted in the peripheral holes, directional energy gathering devices are arranged between charge sections, and guide holes are formed between the adjacent peripheral holes. A composite slotting structure is arranged in the center area of the excavation section, and the composite slotting structure comprises inclined hole sets distributed in a radial shape and straight hole sets forming a multilateral array; geological parameters of the engineering tunnel are obtained in real time; and based on the geological parameters, the hole pitch of the peripheral holes and the explosive loading amount of the composite slotting structure are dynamically adjusted through an algorithm.

The invention discloses an additive and subtractive composite manufacturing process planning method based on manufacturability. The method comprises the steps that mesh generation is conducted on an additive and subtractive model, and then fine processing and exporting are conducted; extracting geometric feature edges of the refined grid model, and segmenting the model according to the geometric feature edges to obtain corresponding sub-models; establishing a hierarchical relationship between the sub-modules for the segmented sub-models according to a topological relationship; parameterizing the model based on a heat source geodesic calculation method to obtain a geodesic distance of a vertex in the model body; utilizing a linear interpolation method to calculate geodesic distance isolines for layering to carry out curved surface layering on the volume model; modeling is conducted on the printability of an additive nozzle and the machinability of a subtractive cutter in the additive and subtractive mixed manufacturing process, and corresponding evaluation standards are set; carrying out rapid calculation based on a light source projection method of a Gaussian ball, and solving to obtain an interference relation between the cutter shaft and the obstacle; and establishing a process planning problem model to obtain a planning process of the model.

The invention discloses a method for determining the position of a dam-surrounding seepage-proofing line, which comprises the following steps of: 1) drilling, and carrying out a seepage test and underground water level long-term observation in a drill hole; 2) drawing a contour line relative to the top surface of the impervious layer based on the result of the penetration test; based on the long-term observation data of the underground water level, an underground water level equal water level line is drawn; (3) based on the groundwater surface equal water level and the opposite impervious layer top surface contour line, a dam-surrounding seepage-proofing line is preliminarily planned; and (4) determining a dam-surrounding seepage prevention line. According to the method, the drilling coordinates are combined with detailed and comprehensive hydrogeological conditions such as underground water and rock-soil body permeability, and the optimal dam-surrounding seepage prevention line position is determined by comparing two schemes of the initially-planned underground water surface and the relatively-impervious layer top surface, so that the seepage prevention line position is determined on the premise that the dam-surrounding seepage safety is guaranteed. And the anti-seepage route is shortened, the engineering amount of the anti-seepage curtain is reduced, and the construction treatment cost is saved.