120 results about "Three-dimensional graph" patented technology

The invention discloses a three-dimensional ground penetrating radar map generation method. The method comprises the following steps that S1, a three-dimensional ground penetrating radar is used for collecting selected road internal structure information to obtain original data; s2, preprocessing the obtained original data; s3, carrying out normalization processing and trilinear interpolation on the longitudinal section data of the preprocessed radar data; s4, generating a three-dimensional ground penetrating radar map, wherein the three-dimensional ground penetrating radar map at least comprises a single-channel oscillogram, a slice map, a longitudinal profile map and a three-dimensional map; and S5, based on the three-dimensional diagram, introducing a gradient enhanced adaptive perspective algorithm, realizing perspective of the three-dimensional diagram, and highlighting a disease area. According to the method, an effective and convenient standardized map is formulated in combination with data collected by the three-dimensional ground penetrating radar, the problems of section discretization and information discontinuity are solved, and through the generated three-dimensional perspective drawing, the visualization effect of a road disease area is effectively enhanced, and accurate positioning and recognition of road internal diseases are achieved.

The invention discloses a three-dimensional curved surface pattern layering processing method based on parameterized segmentation, and aims to solve the problem of high-precision pattern processing on the surface of a curved surface by using a laser scanning galvanometer. The method comprises the following steps: firstly, importing a three-dimensional model, and carrying out parameterization processing to obtain a two-dimensional parameter domain; positioning a to-be-processed plane pattern in the two-dimensional parameter domain to form a complete two-dimensional geometric grid covering a pattern area, generating a three-dimensional pattern grid attached to a curved surface, and calculating a center normal vector of the three-dimensional pattern grid; then, generating an equidistant plane group on the surface of the curved surface, and calculating an intersection line of the plane and the three-dimensional pattern grid as a laser scanning track; and the five-axis linkage platform-galvanometer system is started for machining. Through the parameterization domain, distortion of curved surface pattern machining is effectively solved, machining uniformity is improved, and the method is particularly suitable for laser machining of large-scale or high-complexity curved surface patterns.

The invention relates to the technical field of green product analysis, and discloses a green product full life cycle analysis system based on big data. The system comprises a data acquisition module, a preprocessing module, an environmental impact assessment module, a resource consumption optimization module, an association modeling and result generation module and a visual interaction module. The system collects data of all stages of a full life cycle and related element data of environment, resources, carbon emission and the like, after preprocessing of abnormal value elimination, entropy weight method weighting and the like, environment influence is dynamically evaluated through a fuzzy membership function, resource consumption is subjected to multi-objective optimization by utilizing a genetic algorithm, and the resource utilization rate is improved. A key stage is determined by means of grey relational degree, an analysis result is generated in combination with a multi-target decision model, and finally the analysis result is visually presented in the form of a three-dimensional map and a dynamic thermodynamic diagram. The system realizes efficient analysis and comprehensive evaluation of full-life-cycle data of green products, and provides scientific support for product environment performance optimization and decision making.

The invention relates to the technical field of three-dimensional visualization, in particular to a power grid line loss intelligent diagnosis and visualization method based on multi-source data acquisition, and the method comprises the steps: obtaining a sensor data grouping sequence, detecting power fluctuation synchronism, extracting a change trend, analyzing a power difference and a node trend, marking an abnormal path, generating a line loss map, and positioning an abnormal node coordinate level. And mapping the topological graph to adjust the style, and generating a visual layer result. According to the invention, through obtaining the multi-dimensional data of the feeder line and performing efficient analysis, capturing power fluctuation and abnormity, identifying abnormal nodes in combination with the power difference of adjacent nodes, analyzing the fluctuation rate to reveal the line loss area and the structure abnormity, calibrating the abnormal position by using the three-dimensional coordinate, realizing spatial positioning and risk assessment, and clearly displaying the operation state by the three-dimensional layer. The monitoring accuracy is improved, path connection and node positioning help to quickly identify a high-risk area, the operation and maintenance efficiency and the diagnosis comprehensiveness are optimized, and a precise basis is provided for power grid management.

The invention discloses a method, a system, a medium and equipment for quickly judging the axial stability of an external short-circuit winding of a power transformer. In the method, a power transformer winding axial vibration calculation model is established; through changing a short-circuit current amplitude, a cushion block stress-strain curve characteristic value and a pre-tightening force, a critical condition of separation of a wire cake and a cushion block of a winding is obtained, and a three-dimensional map of a wire cake-cushion block vibration separation critical state is drawn. An axial stability analysis system when the power transformer is subjected to external short-circuit impact in an operation state is constructed, a computer is deployed locally to operate a calculation instruction corresponding to the method, and a short-circuit current peak value is extracted according to a current recording diagram of the power transformer under an external short-circuit fault; and determining a fault point location in the three-dimensional atlas according to the actual pre-tightening force of the winding and a cushion block stress-strain curve, and quickly judging the axial stability of the external short-circuit winding according to the relative relationship between the fault point location and a critical state interface.

The invention discloses a lead compound optimization method and system based on skeleton constraint and training enhancement, and belongs to the field of artificial intelligence drug discovery. The method comprises the following steps: performing structural treatment on an initial lead compound, extracting a growth skeleton structure, and pairing a protein pocket structure; inputting information of the skeleton structure and the protein pocket structure into a coding model based on a three-dimensional graph neural network for joint coding to obtain structure coding representation; on the basis of a Delete model, an atomic distance-based resampling mechanism and a hydrophobic group mask are introduced, and a molecular generation model is constructed; training and tuning a molecule generation model through staged pre-training and a knowledge enhancement fine tuning strategy so as to improve the structural accuracy, the binding activity and the druggability of generated molecules; and inputting the structure coding expression into a trained and optimized molecular generation model PocketGrow to generate optimized molecules, screening the generated optimized molecules, and outputting a lead compound with development potential.

The invention provides a user abnormal behavior monitoring method, and belongs to the technical field of artificial intelligence. The method comprises the following steps: collecting user behavior data and relational data; generating three-dimensional diagram data; based on the user behavior data and the three-dimensional diagram data, abnormal features and cross-node abnormal association features are extracted in parallel; calculating an abnormal initial score based on the abnormal features, and identifying an abnormal sub-graph based on the cross-node abnormal association features; based on the abnormal recognition sub-graph, correcting the abnormal initial score to obtain an abnormal final score, and calculating a community confidence coefficient; and according to the abnormal final score and the community confidence, determining a user risk level, and generating a user abnormal behavior monitoring report. According to the method, the three-dimensional graph model is constructed by fusing the multi-source data, and the graph neural network is combined, so that accurate identification and risk assessment of the abnormal behavior of the user are realized, and the comprehensiveness and accuracy of monitoring are effectively improved.

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 present application relates to the technical field of three-dimensional visualization, in particular to a power grid line loss intelligent diagnosis and visualization method based on multi-source data acquisition, obtaining sensor data grouping and sorting, detecting power fluctuation synchronicity, extracting change trend, analyzing power difference and node trend, marking abnormal path, generating line loss atlas, positioning abnormal node coordinate level, mapping topological graph adjustment style, and generating visualization layer result. The present application efficiently analyzes multi-dimensional data of a feeder line, captures power fluctuation and abnormality, identifies abnormal nodes in combination with power difference of adjacent nodes, analyzes fluctuation rate to reveal line loss area and structural abnormality, calibrates abnormal position by using three-dimensional coordinates, realizes spatial positioning and risk assessment, clearly displays operation state by three-dimensional layer, improves monitoring accuracy, helps to quickly identify high-risk area by path connection and node positioning, optimizes operation and maintenance efficiency and diagnosis comprehensiveness, and provides accurate basis for power grid management.

The invention discloses a crawler-type dredging robot slip rate optimization control method and system, and relates to the technical field of crawler-type mobile robot control, and the method comprises the steps: 1, importing a dredging robot three-dimensional diagram, carrying out the modeling of a crawler chassis, obtaining a kinetic model, applying torque drive in the model, and obtaining motion data; 2, establishing a dynamic mathematical model according to the dynamic characteristics of the dredging robot, and obtaining the relation between the motion state of the dredging robot and torque driving; 3, the slipping condition of the robot is analyzed through the motion data, and the slipping rate of the robot in actual motion is obtained; 4, according to a slip rate calculation result, identifying an optimal slip rate through a self-adaptive variable step size strategy; 5, designing a driving anti-slip controller of the fuzzy sliding mode according to the dynamic mathematical model, the slip rate in actual motion and the optimal slip rate; and 6, the motion of the robot is dynamically adjusted according to the driving anti-skid controller.

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 embodiment of the invention relates to the field of vehicle control, in particular to an engine rail pressure control method, device and equipment and a storage medium, and aims at achieving accurate pre-control over the engine rail pressure. The method comprises the following steps: mounting an engine on a test bench; the engine is tested and calibrated through the test bench, and a slope three-dimensional diagram and an intercept diagram of the engine under each set of rotating speed and rail pressure are obtained; and according to the slope three-dimensional diagram and the intercept diagram, the corresponding relation between the relative oil injection quantity and the oil pumping continuous angle under each set of rotating speed and rail pressure is determined so as to control normal operation of the engine.

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.

A head's up display (HUD) device for cosmetic application, and techniques for operating the HUD device, are provided. The device may include a user interface, sensors configured to capture real-time data associated with a user's face. The device may receive an indication of a makeup look selected by the user, analyze the real-time data associated with the user's face in order to generate a three-dimensional map associated with the user's face; identify facial features of the user's face on the three-dimensional map associated with the user's face, and provide, via the user interface, guidance associated with applying cosmetic products to the user's facial features in order to achieve the makeup look selected by the user. The guidance may be at least partially superimposed upon the user's face, as displayed by the user interface or as shown in a mirror.

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 present disclosure relates to a laser marking method, system, device, electronic device, and storage medium. The method comprises: obtaining a three-dimensional surface model of an object to be marked; mapping a specified pattern onto the three-dimensional surface model to obtain a three-dimensional pattern model corresponding to the pattern; segmenting the three-dimensional pattern model based on the focal area of ​​a laser beam emitted by a laser marking device to obtain at least two segmented marking areas, each of which is smaller than or equal to the focal area; and moving the object to be marked based on the first spatial position corresponding to each marking area on the three-dimensional surface model and the second spatial position of the focal area, so as to mark the pattern on the object in blocks using the laser marking device. Embodiments of the present disclosure can achieve improved marking effects on the object.

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.

To provide a system for deepening understanding of a function of three variables represented as a three-dimensional graph.SOLUTION: A terminal 20 is provided with a processor 21 for displaying information on a display device 24. The processor 21 displays a three-dimensional graph corresponding to the function of three variables on the display device 24. In response to a user operation on the three-dimensional graph, the processor displays, on the three-dimensional graph, a solution-seeking object that is identified based on three-dimensional coordinates on the three-dimensional graph specified by the user operation and that is the target of the solution-seeking for the function of three variables, and also displays results of the solution for the solution-seeking object on the display device 24.SELECTED DRAWING: Figure 1

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.