216 results about "Model graph" patented technology

The invention discloses a two-dimension animation automatic generating method based on a skeleton motion database. The two-dimension animation automatic generating method comprises the steps of establishing a skeleton and a skeleton motion, storing the skeleton and the skeleton motion into the skeleton motion database, drawing an animation modeling, drawing a modeling graph according to an appearance requirement of the modeling, binding the skeleton motion with the modeling graph, calling the skeleton motion from the skeleton motion database, binding the skeleton motion with the modeling graph, mapping the skeleton motion to the modeling graph, interpolating an animation, interpolating a skeleton motion frame according to an animation requirement, and obtaining an animation sequence. According to the two-dimension animation automatic generating method based on the skeleton motion database, efficiency and quality of two-dimension animation production are improved, and production cost is effectively saved.

A technique for image processing that includes receiving a model image, an input image, and registering the input image with the model image. A modified input image is determined that includes a first component that is substantially free of error components with respect to the model image and a second component that is substantially free of non-error aspects with respect to the model image. The technique determines an improved alignment of the modified input image with the model image where the improved alignment and the first and second components are determined jointly.

The invention discloses a multicenter data task processing method, a multicenter data task processing device and a multicenter data task processing system. The processing method comprises the steps: A, collecting data task information; B, generating a data task model graph according to the data task information, cutting the data task model graph, namely grouping all nodes in the data task model graph, wherein each node of the data task model graph is one data task; and C, allocating data tasks of different groups into corresponding data centers. By means of the multicenter data task processing method, the device and the system, through the establishment of a model reflecting the correlations among data tasks, multicenter task allocation is performed based on the model, and thus the task allocation is visual, accurate and balanced. Transfer and redundancy of large amount of data are avoided, data volume transmitted among each center is small, therefore pressure of network load is reduced, overall data processing efficiency is improved, and loads in all the data centers are basically the same.

The invention discloses an indoor scene scanning reconstruction method and apparatus. The method comprises: obtaining scanning image information of an indoor space, captured by a robot, and according to the scanning image information, reconstructing a three-dimensional scene model graph of the indoor space; segmenting the three-dimensional scene model graph into a plurality of regions of interest; for each region of interest, performing the following operation: segmenting the region of interest into a plurality of small regions; controlling the robot to apply a thrust to an object corresponding to each small region to obtain images of the plurality of the small regions after the thrust is applied; comparing the small region images after the thrust is applied with the small region images before the thrust is applied, segmenting the objects in the images according to comparison results, and controlling the robot to scan non-completely scanned parts in the objects separated after the thrust is applied to obtain complete three-dimensional data of the objects; and according to the segmented objects and the complete three-dimensional data of the objects, reconstructing an indoor scene. According to the technical scheme, the efficiency and precision of reconstructing the indoor scene are improved.

The invention relates to the field of information processing, in particular to a visual ontology construction system and method for a knowledge graph, and the method comprises the steps: drawing an ontology model graph in a mode of adding nodes and edge graphs through the system; and the system generates ontology model data according to a preset data conversion format and stores the ontology modeldata. According to the method, the ontology model is created by adopting a visual drawing mode, so that the logic structure of the ontology model is expressed more intuitively. A user adds entities,event nodes and relation connecting lines in a graph form to create an ontology model graph, complex language description or configuration form filling is not needed, the ontology model drawing process is simple and convenient, and the logic structure of the ontology model is clear in the creating process. The threshold for creating the ontology model is lowered. And a powerful tool and method areprovided for application and popularization of the knowledge graph.

The invention relates to an intelligent judgment method for identifying high-risk and important user power supply risks. Compared with the prior art, the method overcomes the defect that the high-risk and important user power supply risks cannot be intelligently judged. The method includes the following steps that a future power grid operation model is predicted, current power grid load flow calculation model data are acquired, a repair plan, load prediction, a plan to be put into production and a power generation plan are added, and then data of the future power grid operation model are formed; load flow calculation is conducted on the future power grid operation model, load flow calculation is conducted based on the data of the future power grid operation model, and then a load flow calculation result is acquired; the power model is made to be graphical, a power grid topological relationship in the power grid model is extracted based on a graph-theoretical algorithm, and a power grid graphical model is established; the high-risk and important user power supply risks are identified, and the high-risk and important user power supply risks are judged based on the established power grid connection graph model with the power grid topological relationship. By means of the method, the high-risk and important user power supply risks of a power grid are intelligently identified.

The model training method, the image similarity measurement method, the terminal and the storage medium are used for training and utilizing an image similarity measurement model, and the image similarity measurement model comprises at least one pair of image processing neural networks with the same structure and a similarity calculation module; in the model training method, a training image pair is input into a pair of image processing neural networks to obtain a pair of training feature vectors, a similarity comparison module compares the pair of feature vectors to obtain an estimated similarity result, and the loss between the estimated similarity result and a real similarity result is used for adjusting parameters of a model; if one or more test results obtained by inputting the test image data into the model do not reach the preset condition, repeating the previous steps until the training is completed; according to the method, a novel structure model different from a traditional image similarity algorithm is realized, feature representation is carried out on the training sample through the pair of image processing neural networks, joint learning of similarity measurement is carried out, and the measurement accuracy and the calculation efficiency are improved.

The invention discloses a product quality information transmission method based on augmented reality. A three-dimensional CAD model represented by MBD (Model Based Definition) is used as an information input source, and the product quality information based on manufacturing features is extracted; a CAD model image set is generated, and during the generating process, the association relationship between an image and the manufacturing features is built; and finally, a manufacturing field image and a template image are matched, an attitude parameter of a virtual camera corresponding to a templateimage with the highest similarity is used as an initial attitude of an external camera, and superposition of the product quality information in the real manufacturing field scene is realized. The manufacturing feature is used as a basic carrier for the product quality information, and the requirement of only detecting a specific feature by an operator is met; through building the association relationship between an image and the manufacturing feature, the requirement of the operator for visual features of a part from different perspectives can be met; and by using a tracing registration technology and in combination of an external database, the requirement of transmitting the product quality information to the manufacturing field can be realized, and the detection efficiency and the quality are improved.

The invention discloses an online analysis method for comprehensive equivalent damping characteristics of a regional generator group. The online analysis method includes calculating whole-network steady-state trend at first and dividing the regional generator group on the basis of an electrical distance method; establishing a regional equivalent model which has regional generator group equivalent damping characters and is showed as a classic model by the aid of online information provided by whole networks of a wide-area measurement system and an energy management system so as to replace the regional generator group; carrying out model analysis for the whole networks after the regional generator group is replaced by the regional equivalent model, and obtaining influence of the regional generator group represented by the regional equivalent model to small interference stability of the whole networks form two aspects of a main participation model and a correlation factor and model graph of the main participation model, namely obtaining the comprehensive equivalent damping characteristics of the regional generator group. Relative oscillation conditions between a relevant unit with a low-frequency oscillation mode and a generator are provided, connection between the regional generator group and an actual power grid can be realized easily, calculation is simple, anti-interference ability is good, and practicality is high.

The invention belongs to the technical field of artificial intelligence, and discloses a house type graph intelligent identification method, which comprises the steps of obtaining a two-dimensional house type graph to be identified; identifying the two-dimensional house type image based on a preset wall body identification model, and outputting the wall body information in the two-dimensional house type image; and generating a three-dimensional house type model graph corresponding to the two-dimensional house type graph based on the wall body information, and outputting the three-dimensional house type model graph. The invention also discloses a house type graph intelligent identification device, an apparatus and a computer readable storage medium. According to the invention, the accuracyof wall body identification in the house type graph is improved.

The invention relates to a unified storage method for key value model, document model and graph model data, which comprises the following steps of: establishing mapping from a key value model to a document model and mapping from a graph model to a document model by utilizing the description capability of the document model to the data. Unified storage of the key value model and the document modelcomprises the steps that Class is designed, and records of the document model are stored in a common table after the Class is instantiated; the unified storage method of the graph model and the document model comprises the steps that a Vector class and an Edge class are designed, records of the document model are stored in a vertex table obtained after instantiation of the Vector class, and records of the document model are stored in a side table obtained after instantiation of the Edge class. Unified storage of a key value model, a graph model and a document model includes: storing key valuemodels, graph models and document models in a unified manner; wherein the Vector subclass and the Edge subclass are inheritance relationships with the parent Class; wherein the Class supports a key value model and a document model, the Vector class and the Edge class support vertexes and edges, and the vertexes and the edges instantiated by the Vector class and the Edge class can be used for storing data of the key value model, the document model and the graph model at the same time.

A clothing plane mapping method, comprising: (1) disintegrating the formula calculating the lengths of every part in the clothing outture sheet into: proportion* type + adjusted value; (2) disintegrating the drawing according to norms and size of the outture sheet into the model, grade and model number of the clothing outture sheet; (3) pre-change the parts of different parameter in the structure plane graph of the systematic model clothing outture sheet into proportions with part grade, calculating the design formula for changing same parameter, calculating the disintegrating formula of the definite part, set up a plurality of part coordinate basic points on the base of clothing structure plane graph by using the calculating results of changed proportion, design formula and part disintegrating formula, and printing or draw the model number graph and card for the coordinate basic points of every part to form type clothing model graph, (4) choosing the type, grade and model number of the clothing outture sheet on the type clothing model graph, number model graph and card of preprinted or predrew, drawing the type, grade and number model graph for the clothing outture sheet.

The invention discloses a building method for a common mode EMI model and an equivalent circuit of a complete train of a high-speed motor train unit. The method comprises the steps of establishing anEMI model graph of the complete train; establishing an EMI model graph of a traction converter; establishing an equivalent circuit graph of a common mode EMI loop caused by a potential point A of a rectifier bridge of the high-speed motor train unit, and then according to the equivalent circuit, calculating out a conducted EMI current; and establishing the equivalent circuit after passing the converter, and then according to the equivalent circuit, calculating out the conducted EMI current. The model and the equivalent circuit in the method describe common mode EMI characteristics of the complete train of the high-speed motor train unit, wherein the common mode EMI characteristics include common mode ground capacitance distribution, a cable high-frequency model, and high-frequency parasitic characteristics of transformer primary and secondary sides. The model and the equivalent circuit predict the common mode EMI characteristics of the complete train and serve as technical means of research on common mode EMI of the high-speed motor train unit; the equivalent circuit obtains a mathematic expression of a common mode EMI current; and the expression predicts the magnitude of the common mode EMI current of the complete train.

An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. A structural representation that captures the essence of all of the relationships in a unified manner has concise information about the educational institution, and visualization is a way to bring out all this information in an explicit manner so that the various of the users of the educational institution system understand effectively their system. A system and method for visualization based on the structural representation of a university along a variety of dimensions is discussed.

The invention relates to a closed-loop control method of a power scheduling operation order and a ground wire operation. The closed-loop control method comprises the following steps of: (1) using an electric fence topological graphic module to perform modeling according to a primary wiring graph of an electric fence and display a modeling graph; (2) using a scheduling back brake operation process module to generate and execute a scheduling operation order according to the modeling graph; and (3) analyzing the states of the electric fence before and after the operation of the electric fence, prompting a ground wire hanging operation on the basis of a safety analysis result and recording the current state of a ground wire when a ground wire management module performs a simulated operation on the electric fence topological graphic module, and prompting a dismounting operation of the ground wire when the operation order is replied. According to the closed-loop control method disclosed by the invention, the synchronous linkage management of order placement and ground wire management is realized, scheduling staff can be helped to judge the state where the whole-network ground wire is located in an intelligent manner, the hanging and dismounting situations of the whole-network ground wire can be controlled as a whole, the occurrence of mis-hanging, mis-dismounting and other accidents of the ground wire can be prevented, and the difficult problem that the state of the ground wire is difficult to identify by the scheduling staff during the processes of order placement and order replay of the operation order is solved.

The invention discloses a bidirectional feature fire risk assessment method and a bidirectional feature fire risk assessment system based on Hausdorff distance. The method comprises the steps: firstlycarrying out the risk factor feature vector extraction of a to-be-assessed building; then, judging the similarity degree of the feature vectors of the to-be-evaluated building and the bidirectional reference vectors through the Hausdorff distance, and obtaining the fire risk level of the to-be-evaluated building; carrying out risk thermodynamic color scale value conversion on the fire-fighting risk level again, so that three-dimensional visual display can be carried out conveniently; and finally, displaying the risk thermodynamic color code in a three-dimensional visual model graph, so that the building risk is visually presented, and accurate risk positioning and targeted management are achieved. The fire risk assessment problem is effectively solved, scientific guidance is provided forfire management work. The probability of fire disasters is reduced, and the fire management level is improved.