68 results about "Three-dimensional graph" patented technology

The invention discloses a casting part multi-mode intelligent cost accounting method and system, and relates to the technical field of casting engineering and intelligent cost accounting. The casting part multi-mode intelligent cost accounting method comprises the steps that process information in casting engineering is extracted and processed in a structured mode, and missing information of a plane drawing is automatically supplemented; matching a target casting process route and key parameters based on the process information subjected to the structured processing; and calculating the basic total cost according to the target casting process route, and correcting the basic total cost in combination with the historical data deviation, the real-time market data and the order variables to obtain the corrected total cost. Unified automatic analysis of the plane drawing and the three-dimensional drawing is achieved, the problem that information of the plane drawing is incomplete is solved through image recognition and rule completion, and the limitation that only a single drawing type is supported is broken through; the casting process constraint extracted from the three-dimensional drawing is directly used as a core parameter of process matching, and the plane drawing indirectly maps process requirements through feature recognition, so that quantitative association of drawing information-process parameter-cost is realized.

The invention relates to the technical field of motor performance testing, and discloses a micro-control motor multi-dimensional dynamic loading testing system and method, and the system comprises a cooperative control and data collection module which synchronously collects the electrical parameters, the multi-point temperature, the load torque and the rotating speed of a micro-control motor to be tested through a hardware synchronous triggering mechanism, the data processing and performance analysis module performs loss separation calculation considering real-time temperature on the basis of the data to generate a three-dimensional MAP graph representing a performance coupling relation, and is configured to analyze the data in real time and identify a performance parameter abnormal change area in the testing process, so that the performance parameter abnormal change area is analyzed in real time. And an instruction is automatically sent to the cooperative control and data acquisition module so as to increase the density of test working condition points of the area, and self-adaptive test is realized. According to the invention, the performance characteristics of the to-be-tested micro-control motor under a complex working condition can be accurately and comprehensively obtained, and the automation degree and the data resolution of the test are improved.

The invention relates to the technical field of remote sensing surveying and mapping, and particularly discloses an intelligent surveying and mapping system and method based on a remote sensing technology, and the method comprises the steps: obtaining a multi-time-sequence remote sensing image data set of a target region through multiple platforms carrying intelligent sensing elements; performing three-dimensional reconstruction and cross-time-phase accurate alignment on the time-phase data to generate a three-dimensional space coordinate sequence under a unified coordinate system; carrying out conjoint analysis on the multi-time-sequence attribute of each spatial point in the sequence, and generating a fused spatio-temporal feature by distinguishing a persistent structure and instantaneous interference; constructing a three-dimensional graph structure according to the features, performing hierarchical aggregation, and identifying a point set with similar features and continuous space as an entity unit with a single semantic identifier; based on the semantic and geometric attributes of the entity units, automatically establishing a spatial topology and time evolution relationship, and generating a structured information set containing complete space-time dimension information; according to the invention, high-precision intelligent surveying and mapping from static modeling to dynamic spatio-temporal knowledge generation is realized.

The present invention provides a map cutting method and apparatus that can be quickly and accurately applied to the remaining maps on the basis of cutting information obtained from one of a three-dimensional (3D) map and an expanded map obtained by expanding the same.

The application discloses a kind of based on substation target detection clustering cluster waypoint automatic generation method, specifically relates to unmanned aerial vehicle inspection field, including establishing substation three-dimensional diagram, the RGB image of equipment needing to be detected is collected, the geometric center of each equipment on the plane is calculated using Graph-Detect3D, according to equipment type, orientation, the coordinate information of all equipment to be inspected target is obtained according to the geometric center of equipment, all equipment to be inspected target is numbered, the geometric center of equipment is clustered using density clustering algorithm DBSCAN, all equipment center geometric center in the same cluster is used as waypoint, and waypoint is generated according to the geometric center coordinates of each class, so the number of waypoints will not be redundant, will be just covered to each equipment, can collect the picture of all equipment of substation with least waypoint, reduce the redundancy of data collection.

The invention discloses a search agent training method and device and a storage medium, and the method comprises the steps: collecting a current state vector under the condition that a search agent carries out the key sign search of any sample cardiovascular three-dimensional diagram; inputting the current state vector into a search agent, and outputting an action instruction through the search agent; the observation window is controlled to execute the action instruction, an experience tuple is collected and stored in an experience playback pool, and the experience tuple comprises the current state vector, the action instruction, the instant reward value and a next moment state vector; and performing iterative training on the search agent based on an experience tuple stored in the experience playback pool, so that the trained search agent can output an action instruction sequence enabling the observation window to quickly cover a key sign area according to the state vector.

The application discloses a kind of based on BIM's electric appliance line box arrangement method, system, equipment and medium, it is related to model arrangement technical field, method includes: obtaining the electric appliance line box arrangement request for any independent household, and based on the electric appliance line box arrangement request display the independent household corresponding BIM three-dimensional diagram, the BIM three-dimensional diagram includes all line pipe arrangement in the independent household and all line box arrangement;Based on the position information corresponding to each electric appliance line box and the identification corresponding to each electric appliance line box, in electric appliance family database, according to the identification, search corresponding electric appliance three-dimensional model is placed on the corresponding position, complete the layout of electric appliance line box.The application can quickly and effectively determine the specific type of electric appliance line box corresponding to different positions by the identification corresponding to each electric appliance line box, in addition, combined with the addition of electric appliance three-dimensional model, so that construction process is more accurate, there is no error configuration situation.

The present application relates to the technical field of unmanned system autonomous navigation and path planning, in particular to a hierarchical path planning method and system based on three-dimensional graph network, a three-dimensional environment semantic graph containing geometric and risk semantic information is constructed; then a down-sampling strategy and an improved AStar algorithm are used in the global layer, a ray collision detection mechanism is used to quickly generate a global waypoint sequence under a coarse resolution grid, solving the search efficiency bottleneck in a large-scale three-dimensional space; in the local layer, a Q learning local decision method guided by artificial potential field is proposed, a lazy loading sparse storage is realized by initializing a Q table with expert experience, and global waypoint guidance and local obstacle avoidance logic are combined. The present application realizes the decoupling and fusion of global optimality and local real-time obstacle avoidance through hierarchical architecture, effectively solves the problems of calculation explosion, local extremum and non-connected space traversal in the three-dimensional complex environment of traditional algorithms, and improves the planning efficiency and safety of the agent.

This invention discloses a method for determining the threshold for rapid drought-flood transitions to disasters targeting sensitive objects. It innovatively incorporates society, water resources, and the ecosystem as three core objectives into the threshold determination framework, breaking through the limitations of traditional single-factor fixed thresholds. By treating the disaster threshold as a dynamic multidimensional surface, it can reveal the nonlinear variation law of the critical conditions for disasters under different characteristics of disaster-bearing bodies. This invention achieves quantitative analysis from the description of disaster-loss relationships to the determination of critical conditions through the construction of a nonlinear regression model and its inverse solution. Through comparative analysis of subsystem and comprehensive thresholds, this invention can identify the contribution of each system to the overall threshold, providing a basis for identifying the dominant system and key vulnerable factors. The final threshold surface output by this invention is presented in the form of a three-dimensional graph, which is intuitive and easy to apply, providing scientific support for early warning of rapid drought-flood transition disaster risks, land spatial planning, and disaster prevention and mitigation decision-making.

The invention discloses a data processing method and device for conversion from a Revit model to a YJK model and a medium, and relates to the technical field of electric digital data processing, and the method comprises the steps: building a three-dimensional diagram model based on building structure three-dimensional model data in a Revit model; carrying out collinear analysis on all plane edges in the three-dimensional graph model, extracting a plurality of plane edges which are located on the same straight line and are adjacent end to end as collinear edge groups, and marking grouping identifiers; tracking continuous frames at the same plane position in a vertical space based on a collinear edge group, and calculating projection weighted center coordinates for each continuous frame based on a cross section projection overlapping region of upper and lower vertical members and a cross section projection overlapping region of a horizontal beam member; rounding the weighted center coordinate according to a preset modulus to obtain an adjusted node coordinate; and updating the original coordinates of the corresponding nodes by using the adjusted node coordinates, and recording the deviation between the original coordinates and the adjusted node coordinates as an eccentric distance to generate a YJK structure calculation model.

To shorten a time for separating peaks derived from a plurality of components overlapping on a chromatogram.SOLUTION: First data including chromatogram data composed of a retention time and a signal intensity of light having a predetermined wavelength obtained from chromatographic analysis and second data which is three dimensional data composed of a retention time, a mass-to-charge ratio, and a signal intensity are prepared, and information on a waveform of a target peak and a retention time range in which the target peak is present is acquired from a chromatogram created based on the first data. A model function representing a peak waveform including the number of component peaks as a variable is prepared, and initial values of the number of component peaks and the retention time are set based on the number of peaks and the retention time located within the retention time range of a three dimensional graph created based on the second data. A peak waveform expressed by the model function is applied to an object peak while changing a variable of the model function, and an object peak model function expressing a waveform of the object peak is determined.SELECTED DRAWING: Figure 1

The application relates to the technical field of energetic material design and performance prediction, and relates to an energetic material multitask property prediction method. Standardized data sets are constructed by collecting energetic material sample data and performing molecular graph data enhancement processing on a training subset; molecular SMILES strings are respectively parsed into molecular topological graphs and word sequences, three-dimensional graph neural network is used to encode atomic space position information to extract molecular local topological features, a Transformer encoder is used to extract molecular global long-range correlation features, and a dynamic weighting mechanism is used to realize adaptive fusion of the two types of features, so that the depth and comprehensiveness of feature mining are improved; a multitask prediction model with a shared encoding layer, multiple independent decoding layers and a task decoupling constraint mechanism is built, an end-to-end training is completed by using a multitask loss function, the problems that existing multitask methods are difficult to balance the internal conflicts between energy performance and safety performance and are difficult to simultaneously predict multiple key indicators are solved, and the simultaneous prediction of multiple performance indicators is realized.

An embodiment constructs a three-dimensional graph representing a corpus of knowledge. The three-dimensional graph includes nodes and connections coupling one node to at least another node. The embodiment presents visually, in a virtual three-dimensional space representation in a virtual reality (VR) environment, a first view of the three-dimensional graph. The embodiment adjusts, responsive to detecting a first gesture, the first view of the three-dimensional graph, the adjusting causing a change in a subset of the set of nodes. The change causes a representation, in the VR environment, of the first node to change to a new representation indicative of a different level of detail of the first node from the representation.

The application discloses a kind of numerical simulation method and system of saturable absorber mode-locked fiber laser, method includes the following steps: setting simulation parameter;Input a noise pulse as the initial pulse of simulation system;The numerical solution of nonlinear Schrödinger equation is calculated by improved step-by-step Fourier method, and the evolution result that pulse is transmitted in optical fiber is obtained;The shaping effect of saturable absorber to pulse is simulated using the transmissivity function of saturable absorber;Coupler solver redistributes the energy of pulse;Post-processing module saves the data when pulse stops running, and it is drawn into the curve graph and three-dimensional graph of pulse shape and pulse spectrum.The simulation method and system disclosed in the application can solve the problem of low calculation precision of dispersion term in fiber laser simulation, greatly improve the simulation accuracy, and can more accurately predict the output characteristics of mode-locked fiber laser.

The invention relates to the technical field of geological radar images, in particular to a geological radar image interpretation method, which comprises the following steps of: performing macroscopic analysis on a test result image of an SIR-4000 type geological radar, confirming local anomalies in a dark-color gathering area and a dark-white alternation area, and after circling and communicating, combining an engineering geological survey conclusion and geological target body characteristics to obtain a geological target body interpretation result; classifying and judging abnormities such as a real structural surface and a rock vein; and drawing reverse fine anomalies through microscopic analysis, and mapping the reverse fine anomalies to a three-dimensional diagram contrast feature to eliminate instrument system errors. According to the method, real anomalies and false anomalies can be accurately distinguished, the anomaly attributes and the influence range are clarified, the interpretation pertinence and the construction guidance value are improved, and the tunnel construction safety is guaranteed.

The invention provides a standard punch mark automatic arrangement method and device, electronic equipment and a storage medium, and relates to the technical field of mold design and manufacturing. The method comprises the following steps: on a target three-dimensional drawing, by taking a first arrangement position as a circle center, determining whether a vertical direction line segment and a horizontal direction line segment exist in a preset radius range, specifically, if only the vertical direction line segment exists, determining a target direction vector for arranging a punch according to the vertical direction line segment; if it is determined that the vertical line segment and the horizontal line segment exist at the same time, a target direction vector for arranging the punch is determined according to the vertical line segment and the horizontal line segment; and according to the target direction vector, a standard punch mark is arranged on a corresponding punched hole of the target three-dimensional drawing. The method aims to solve the problem of manual arrangement of standard punch marks, has the characteristics of high intuition degree, low repetition rate and accurate arrangement position, and can greatly improve the arrangement efficiency of the standard punch.

The invention discloses a hydrogen refueling station equipment integrity knowledge graph application system and method, and belongs to the technical field of hydrogen energy infrastructure full life cycle management. The process knowledge extraction module is used for extracting a triple containing a process link, a process parameter and a standard value from a process document, extracting an association relationship about the process link, an executor and time from an operation record, and establishing an association relationship between the process link and equipment and an association relationship between process parameter abnormity and equipment failure; the knowledge graph architecture storage module is used for constructing and storing a multi-level knowledge graph architecture, and the multi-level knowledge graph architecture comprises a base layer, a process layer, an entity layer, a relation rule layer, a device three-dimensional graph layer and a risk management decision layer. The problems that an existing hydrogen refueling station equipment integrity knowledge graph lacks process dimension integration and equipment and process collaborative management capacity is weak are solved.

The present disclosure provides a log data processing method and device, equipment, storage medium and program product, and relates to the technical field of vehicles. The method is applied to a vehicle machine, and includes: determining target log data based on initial log data associated with a preset vehicle running scene; reconstructing a three-dimensional graph corresponding to the preset vehicle running scene based on the target log data; and in response to the target log data including abnormal log data, performing abnormal marking on the three-dimensional graph corresponding to the abnormal log data. The method can intuitively and prominently display abnormal conditions occurring in the vehicle running process in the reconstructed three-dimensional scene, and can improve the positioning efficiency of abnormal vehicle running conditions.

The invention discloses an automatic generation method, device and equipment of a vehicle three-dimensional diagram and a medium, and relates to the field of intelligentization of special equipment for rail transit. In response to an input operation of the interactive interface, obtaining a target equipment list and an initial three-dimensional diagram of the vehicle; searching a target equipment model from a model library based on the equipment identifier; the target equipment model comprises equipment attribute information; fusing the target equipment model with the initial three-dimensional diagram based on the equipment attribute information to obtain a fused three-dimensional diagram; and performing layout iteration detection on the fused three-dimensional diagram to obtain a target three-dimensional diagram. By adopting the technical scheme, calling and automatic arrangement of the target equipment model are carried out based on the model library, automatic design and generation of the vehicle drawing are realized by carrying out layout automatic iteration detection on the fused three-dimensional diagram, and the problem that the design efficiency is low due to the fact that the current drawing cannot be automatically generated and needs to be manually checked is solved.

The present invention relates to a method for analyzing absorption of a sample into the skin by using Raman spectroscopy, wherein absorption of a target component contained in the sample into the skin is intuitively analyzed through a Raman spectrum graph obtained by a Raman spectrometer. According to an embodiment of the present invention, the absorption of the target component into the skin at different skin depths can be measured without damaging the skin by using Raman spectroscopy, and the absorption of the target component into the skin and the absorption pattern thereof can be intuitively identified by outputting, as a three-dimensional graph, data obtained by the Raman spectrometer, thereby enabling efficient analysis of characteristics of the target component contained in the sample.

The application discloses a data processing method and device for Revit to YJK model conversion and a medium, and relates to the technical field of electric digital data processing. The method comprises the following steps: constructing a three-dimensional graph model based on three-dimensional model data of a building structure in a Revit model; performing collinear analysis on all plane edges in the three-dimensional graph model, extracting multiple plane edges located on the same straight line and adjacent at the head and tail as a collinear edge group, and marking a grouping identifier; tracking a continuous frame with the same plane position in the vertical space based on the collinear edge group, calculating a projection weighted center coordinate based on the cross-sectional projection area of the upper and lower vertical members and the cross-sectional projection area of the horizontal beam member for each continuous frame, and rounding the weighted center coordinate according to a preset module to obtain an adjusted node coordinate; updating the original coordinate of the corresponding node by using the adjusted node coordinate, and recording the deviation between the original coordinate and the adjusted node coordinate as an eccentricity to generate a YJK structure calculation model.

The invention relates to an oil and gas reservoir development feature prediction and analysis system based on a large model. The system comprises a multi-modal intelligent extraction module, a geologic feature dynamic representation engine, a development rule meta-learning framework, a knowledge graph cognition module and a cross-scene collaborative deduction module. Wherein the multi-modal intelligent extraction module is used for heterogeneous document analysis and cross-modal relationship alignment; the geologic feature dynamic representation engine is used for parameter topology calibration and context sensitive entity disambiguation; the development rule meta-learning framework is used for weight adaptive migration and rule interpretable deconstruction; the knowledge graph cognition module is used for three-dimensional graph self-evolution and multi-source evidence fusion; and the cross-scene collaborative deduction module is used for parametric field coupling simulation and analogy decision enhancement.

The application discloses a data screening method and device based on protein pre-training scene, comprising: obtaining protein data, and representing each protein data as a three-dimensional graph structure; using a graph coding model based on a graph neural network to encode each three-dimensional graph structure to obtain a hidden vector of the protein; modeling the data screening problem as a maximum coverage problem, defining a sample volume according to the distance between the hidden vector of each protein and the hidden vector of other proteins, and screening the protein data according to the sample volume. The method does not involve human intervention, and screens the protein data in an end-to-end manner, and guides the screening through the characteristics of the data itself, thereby guaranteeing the theoretical rationality and robustness of the screening, and being widely applied to various scenes, and achieving a balance between the minimum data size and the optimal performance on various data. The screened protein data is directly applied to pre-training, thereby improving the training efficiency and guaranteeing the global optimality of the solution.

The invention discloses a low-altitude three-dimensional situation visualization data processing method, system and device and a medium, mainly relates to the technical field of data processing, and aims to solve the problems that an offline data processing mode is mostly adopted in an existing scheme; the real-time requirement of a low-altitude dynamic scene cannot be met, and the coordinate system difference of different data sources affects the reliability of risk judgment. Comprising the following steps: constructing a three-dimensional situation scene based on preprocessed data, namely generating a digital elevation model according to terrain elevation data, importing building three-dimensional data into the scene as a three-dimensional model, and rendering a three-dimensional icon and a movement track of a moving target in the scene in real time according to dynamic parameters, the meteorological elements corresponding to the meteorological data and the airspace control boundary corresponding to the airspace control data are displayed in an overlapping manner; and calculating a collision risk level and / or a boundary crossing risk level in real time based on the relative spatial relationship between the dynamic parameters of the moving target and the three-dimensional data of the building and the airspace control boundary, and generating corresponding early warning information.

This invention discloses a structured crime scene modeling method based on 3D graph convolution, comprising the following steps: collecting data to generate a multi-source crime scene input dataset; constructing a 3D spatial graph of the crime scene, establishing graph edges based on the constraint set of structural relationships between nodes, and generating the 3D spatial graph; initializing node features and edge weights to generate an initial graph structure; performing 3D graph convolution processing on the initial graph structure, constraining the convolutional neighborhoods of nodes, performing neighborhood-based convolution operations on the features of nodes within the neighborhoods, and generating an intermediate feature map; performing graph pooling operations on the intermediate feature map to generate a compressed structural representation of the crime scene; and decoding and modeling the compressed structural representation to obtain a structured 3D scene representation. This invention constructs a structured crime scene model based on 3D graph convolution, realizing the fusion of multi-source data and criminal investigation relationships, and possesses the advantages of high semantic fidelity, complete structural representation, and strong modeling reliability.

The invention discloses a quartzite ore grading and quality-grading evaluation method for mining and utilization in the field of mine development and utilization, which comprises the following steps of: 1, dividing a mine, selecting a plurality of sampling points, carrying out three-dimensional sampling at the sampling points through a sampling processing device and recording the positions of the sampling points, treating and grading the samples through a sampling treatment device, and dividing colorless and transparent samples into S1-grade samples; 2, performing inclusion property evaluation and grading on the S1-grade sample to obtain an evaluation and grading result; and 3, inputting the evaluation grading result and the sampling position of the corresponding ore body sample Yijk into a comprehensive evaluation function of the mine raw materials for calculation to obtain a calculation result, then dividing the mine according to the raw material grades according to the calculation result and the mine three-dimensional diagram, and establishing a grading and quality-grading evaluation model. According to the method, specific distribution and the like of ores with different qualities in a mine can be clearly and visually mastered before mining, and high-value and high-efficiency comprehensive utilization of resources is realized.

The application provides a pile hole model risk assessment method, which is characterized in that the method comprises the following steps: a target detection model establishment step, in which three-dimensional image data of a pile hole in different states are acquired, and the pile hole data are input into a neural network for training, verification and testing to obtain a target detection model; a pile hole anomaly analysis step, in which the collected pile hole data are used to form a three-dimensional pile hole by means of a 3D construction strategy, the three-dimensional pile hole is input into a preset target detection model to obtain pile abnormal points, and the abnormal points are mapped into the three-dimensional pile hole as a pile hole anomaly graph; an abnormal point analysis step, in which abnormal data and normal data of the abnormal points are obtained by means of an abnormal point analysis strategy, and an abnormal probability is acquired according to the abnormal data and the target detection model; and a scheme correction step, which is used to acquire normal data and abnormal data in the three-dimensional pile hole, and obtain a pile hole adjustment scheme by means of a scheme adjustment strategy according to historical data in the target detection model.

The application provides a kind of based on scanning electron microscope image deep-sea sediment particle three-dimensional structure reconstruction method: obtain the scanning electron microscope image of deep-sea sediment particle and carry out gray scale, filtering and contrast enhancement;Based on automatic threshold segmentation and connected domain analysis lock target particle area, and synchronous cutting gray scale and binary image;To target particle binary mask is maximum connected domain reservation, hole filling and size standardization processing;Gray value is mapped to relative height and shield background area, generate only cover target particle height field;Based on the height field generates multi-view three-dimensional graph, color height distribution graph, center profile, error band, local refinement reconstruction graph and height classification graph.Through the technical scheme of the application, the efficiency and stability of particle morphology contrast analysis can be improved without changing the existing scanning electron microscope hardware, realizing the automatic extraction, background shielding, three-dimensional morphology reconstruction and quantitative expression of deep-sea sediment particles in a single SEM image.

A work instruction book including required work information is accepted at an industrial site such as glass, iron plate, plywood manufacturing, and work for product manufacturing is executed on the basis of the work instruction book. The homework indicator may include an expanded view therein. The operator cuts and bends the material with reference to the expanded view of the work instruction book to manufacture a product. And the expanded drawing can be manually drawn by a designer with drawing capability. Due to the characteristic of manual work, the working speed is limited, and when drawings are drawn in a hurry within limited time, the accuracy may be reduced, so that the design work is inaccurate. The invention provides a method and a system for generating an expansion graph. The method comprises the following steps: obtaining a bending graph; generating a three-dimensional diagram based on the bending diagram; and generating an expanded graph based on the three-dimensional graph.

The invention provides a ship three-direction linear fairing method, which comprises the following steps: extracting space lines of a curved surface, and normally projecting the space lines to three orthogonal planes to obtain plane projection drawings, the planes including an XY plane, an XZ plane and a YZ plane; inputting the planar projection drawing and the three-dimensional drawing of the spatial line into three-dimensional software; coding line features according to the three-dimensional diagram; and performing measurement according to the control point of each line in the plane projection drawing, and generating a three-way fairing drawing through fairing software. The three-way fairing map is generated through the spatial line features of the three-dimensional software, and the technical problem that in the prior art, a three-way linear fairing method of the triple-hulled vessel is lacked is solved.