37results about How to "Automate the build" patented technology

The invention provides a knowledge graph construction method and system. The method comprises the following steps: acquiring corpus information of at least one domain of a to-be-constructed knowledgegraph; carrying out word segmentation and part-of-speech tagging on knowledge text content fragments included in the corpus information to obtain the key words in the knowledge text content fragments;matching the key words with the domain ontology according to the preset rules to obtain the knowledge element instances in the knowledge text content fragments, the attributes of the knowledge element instances and the association relation between the knowledge element instances, wherein the domain ontology includes a domain topic, at least one model included in the domain topic, attributes of the model, and associations between the models, and the model includes at least one knowledge element instance; and constructing the knowledge graph according to the knowledge element instances in the plurality of knowledge text content fragments, the attributes of the knowledge element instances and the association relation between the knowledge element instances. The automatic construction of theknowledge graph is realized, the construction cost of the knowledge graph is reduced, and the construction efficiency and accuracy of the knowledge graph are improved.

The invention discloses an automatic software construction method, a server and a storage medium. The method includes the steps of obtaining a source file from a source code library through the server, wherein the source file includes a to-be-processed source code and a preset deployment script; according to the to-be-processed source code, generating a plurality of program packages; according tothe preset deployment script, deploying each program package to achieve automatic software construction. Each program package is deployed through the preset deployment script, a set of flowing operation can be performed without depending on the external working environment, errors caused by manual operations are avoided, the efficiency of developing software can be effectively improved, the development cycle is shortened, the development cost is saved, and the user experience is improved.

The invention provides a discretized traffic state distinguishing method based on deep learning, and belongs to the technical field of traffic state distinguishing. The method comprises the steps of a, utilizing monitoring equipment arranged in all directions of a crossroad to collect traffic states of the crossroad in different moments to correspondingly obtain multiple sets of traffic state information; b, conducting discretized coding description respectively on the multiple sets of traffic state information according to a discretized coding process to correspondingly obtain discretized coding data of the crossroad in the different moments; c, building a traffic state distinguishing model based on deep learning according to the discretized coding data obtained in the step b; d, distinguishing the traffic states by utilizing the traffic state distinguishing model built in the step c. According to the discretized traffic state distinguishing method based on deep learning, the traffic states can be comprehensively and truly described, experts do not need to participate in traffic state feature selection, and building of the traffic state distinguishing model can be automatically achieved in a semi-supervised mode.

The invention relates to a construction method for a Chinese semantic knowledge base, in particular to a machine translation-based construction method for a Chinese semantic knowledge base.The problems that Chinese semantic knowledge bases are insufficient and the labor cost and the time cost are high in the prior art are solved, and the performance of semantic knowledge base translation based on cross-language mapping is improved.The method comprises the steps that 1, a source language end corpus annotated with the entity is obtained; 2, the subject distribution of the entity is obtained through calculation according to a subject model; 3, the translation probability of the entity in the source language end semantic knowledge base is extracted from a phrase translation table according to a source language end entity word list and marked as a P (tj|si); 4, an entity translation model based on source language end semantic knowledge base graph structure information is built.The construction method is applied in the field of construction of Chinese semantic knowledge bases.

The invention relates to a method and a device for constructing a road intersection road network, a storage medium and electronic equipment. The method comprises the steps of acquiring lane line information of a road connected with an intersection and pointing information of a guiding arrow, close to the intersection, of the road; for each road, determining the connection relation between the roadand the intersection according to the pointing information of the guiding arrows of the road, and the connection relation is used for representing whether the road is a driving-in road or a driving-out road of the intersection; and determining a pairing relationship between a lane in the entry road of the intersection and a lane in the exit road of the intersection according to the lane line information and the pointing information of the guide arrows in each entry road and the lane line information and the pointing information of the guide arrows in each exit road. By means of the method andthe device, automatic construction of the road intersection road network can be achieved, and efficiency and accuracy are high.

The embodiment of the invention provides a lane line group construction method and device. The lane line group construction method comprises the steps: acquiring original lane lines; grouping the original lane lines to obtain a plurality of first lane line groups; for each first lane line group, obtaining a reference line corresponding to the first lane line group, respectively obtaining the distance between each first lane line in the first lane line group and the reference line, and clustering each distance by using a DBSCAN clustering algorithm to obtain a classification corresponding to each first lane line; fitting all the first lane lines belonging to the same class in the plurality of first lane line groups to obtain a plurality of target lane lines; and combining the plurality of target lane lines to complete the construction of the lane line group. According to the scheme, automatic construction of the lane line set is achieved in a big data mode, and the workload is small, and the cost is low, and the accuracy is high.

The invention discloses a Dynamo-based point cloud BIM automatic modeling method. The Dynamo-based point cloud BIM automatic modeling method comprises the following steps of S1, solving an extreme value of a point cloud three-dimensional degree, calculating a surface area of a point cloud bounding box, and calculating a point cloud average surface density according to the number of point clouds; S2, slicing the point cloud in a selected direction, setting the number of slices as an input type parameter, and calculating a point set in a previous threshold range and a next threshold range of a tangent plane; and S3, projecting the upper and lower point sets to a tangent plane for intersection, and fitting discrete points to obtain a cut boundary contour. In the Dynamo-based point cloud BIM automatic modeling method, a built-in visual programming platform (Dynamo) of the revit is fully utilized as a baton to perform layered editing and segmented modeling on the point cloud imported into the revit, so that the point cloud can automatically construct an entity model without transition and is endowed with attributes.

The embodiment of the invention discloses an interface document management method and device, a server and a storage medium. The method comprises the following steps of subscribing registered system services from a distributed service center; receiving the address information of the system service fed back by the distributed service center; and in response to an interface document construction instruction, based on the address information of the system service, calling a first interface function associated with the system service to obtain corresponding interface information, and constructingan interface document according to the obtained interface information. According to the technical scheme provided by the embodiment of the invention, the consistency of the actual interface and the interface documents can be ensured, and the isolation of the interface documents between the system services is realized.

The invention provides a simulation scene three-dimensional road automatic construction method and device, and the method comprises the steps: obtaining high-precision map data for preprocessing, and creating a data element model related to a traffic scene in a three-dimensional engine; and importing the preprocessed high-precision map data into a three-dimensional engine, and constructing three-dimensional traffic scene data based on a data element model. According to the method, linear road sections, curved road sections and intersection roads in the road data are distinguished, adaptive modeling is performed, a road element model with a real visual effect is automatically constructed, meanwhile, the vertex complexity of a scene is reduced, and the rendering efficiency is improved. Compared with a traditional method that modeling personnel need to carry out manual modeling through three-dimensional software in virtual scene making, the method achieves automatic scene construction, simplifies the complexity of a scene model through a self-adaption mode, achieves rapid traffic network scene construction and high-efficiency rendering operation speed, and is suitable for large-scale popularization and application. And large-scale automatic driving simulation can be realized by combining the traffic flow and an external sensor.

The invention provides a mirror image construction method, a server, a client, a storage medium and a mirror image construction system, and the method is applied to the server and comprises the steps:receiving a to-be-constructed application file and mirror image construction information sent by the client; analyzing the mirror image construction information to generate a mirror image descriptionfile; and constructing a target application mirror image based on the to-be-constructed application file and the mirror image description file. Thus, the server can analyze the mirror image construction information, uniformly generate the mirror image description file and automatically construct the target application mirror image according to the mirror image description file and the to-be-constructed application file, so that the fragmentation process during construction of the target application mirror image is reduced, automatic construction of the application mirror image is achieved, and meanwhile, the application mirror image standardization and correctness are improved.

The invention provides a building method and device for a specialized database. The method comprises the following steps: creating a target professional database; adding a neighborhood body corresponding to the target professional database into the target professional database in order to serve as a knowledge organization system of a target database; acquiring multiple knowledge entries; buildingassociation relations between all the knowledge entries and knowledge elements in the neighborhood body; and building data indices for the knowledge entries and the target professional database. Because the neighborhood body can provide more accurate and complete data association relations, the neighborhood body is taken as a knowledge organization system of the professional database and association relations between the knowledge entries and the knowledge elements in the neighborhood body are established. Therefore, association relations of all resources in the overall professional database are more complete. Resources content are more comprehensive. Recommendation and retrieval results are more improved. The professional database is built in an automated manner so that creating time is reduced.

The invention relates to the technical field of artificial intelligence, and discloses a community portrait construction method, device and equipment and a storage medium, which are used for improvingthe efficiency and effect of community marketing promotion analysis. The method comprises the following steps: grouping users in a preset community relation network according to different community labels to respectively obtain a plurality of corresponding communities; calculating the user scale of each community, the relationship number of each user in each community and the number of connectedtriangles; summing the relationship numbers corresponding to the communities to obtain the total number of the relationship numbers corresponding to the communities; summing the number of the connected triangles corresponding to each community to obtain the total number of the connected triangles corresponding to each community; calculating the community closeness corresponding to each community according to the user scale, the total number of the relationship coefficients and the total number of the connected triangles; and sorting the community portraits corresponding to each community according to the descending order of the community closeness.

A graphical user interface system that visually represents a graph node having multiple input ports, and that automatically adjusts the number of input ports to the graph node as open input ports are connected to upstream graph node(s) and / or as used input ports are disconnected from upstream graph node(s). Upon detecting that a set of one or more input ports has just been connected to one or more upstream graph nodes, the system may automatically add one or more additional input ports to the visual representation of the graph node without explicit user instruction. Upon detecting that a set of one or more of the input ports has just been disconnected from one or more upstream graph nodes, the system may automatically remove the determined one or more input ports from the visual representation of the graph node.

The invention provides a bank parameter report generation method and apparatus, and relates to the technical field of bank system data processing. The method comprises the steps of obtaining parameterreport configuration information input by a user, and generating a configuration information table; performing redefinition operation on an existing parameter report file in a bank system host to form a parameter report file with empty contents; according to the configuration information table, generating a parameter report in the parameter report file with the empty contents; and downloading theparameter report to a preset parameter report server. The bank parameter report can be automatically generated; the configuration information of the parameter report can be conveniently maintained through the configuration information table; and the problems of huge manpower and time costs and relatively complex manual process of a parameter report generation mode in the prior art can be solved.

The embodiment of the invention belongs to the field of artificial intelligence and relates to a road network topological structure construction method. The method comprises a step of obtaining traffic flow data of each checkpoint of a road network in a preset time period, a step of taking any one checkpoint as a reference checkpoint and comparing the traffic flow data of the reference checkpointwith the traffic flow data of other checkpoints to obtain a candidate upstream checkpoint group and a candidate downstream checkpoint group of each reference checkpoint, a step of determining an upstream checkpoint of the reference checkpoint according to the candidate upstream checkpoint group, a step of determining a downstream checkpoint of the reference checkpoint according to the candidate downstream checkpoint group, and a step of constructing the road network topological structure according to the reference checkpoints and upstream checkpoints and downstream checkpoints corresponding tothe reference checkpoints and displaying the road network topological structure at the interactive interface. The invention further provides a device for constructing the road network topological structure, computer equipment and a storage medium. According to the invention, the automatic construction of the road network topological structure can be realized.

The invention relates to the technical field of computers, in particular to a component construction method and device, a storage medium and an electronic device. The method comprises: establishing acomponent definition database, and the component definition database comprising the name of each component and main parameters and user-defined parameters of each component; responding to the component construction instruction, and obtaining the name of the to-be-constructed component; obtaining main parameters and user-defined parameters of the to-be-constructed component from the component definition database according to the name of the to-be-constructed component; and constructing the to-be-constructed component according to the main parameters and the user-defined parameters of the to-be-constructed component. The construction efficiency of the assembly is improved, and the construction cost of the assembly is reduced.

The invention discloses an indoor space semantic value calculation method based on spatial and social multimedia data. The semantic value of indoor independent subspace is divided into location and social contribution, and the semantic value of indoor independent subspace is fused. The method comprises analyzing the topological connection relation of each indoor independent subspace, constructingthe indoor space model, calculating the distance between each object, calculating the path matrix according to the user walking constraint, and calculating the location contribution degree; Accordingto the social multimedia data of indoor independent subspace, the sentence structure being analyzed and the key words being extracted to construct the emotion classification base classifier. Sentencesets are divided into key sentences and non-key sentences to classify social evaluation texts. The social contribution degree is calculated according to the classification of social evaluation texts.The indoor space value calculation method of the invention can be used for solving key problems such as value prediction of newly introduced shops, multi-dimensional shop evaluation and the like.

The embodiment of the invention discloses an interface document management method, device, server and storage medium. Wherein, the method includes: subscribing to the distributed service center for the registered system service; receiving the address information of the system service fed back by the distributed service center; in response to the interface document construction instruction, based on the address information of the system service, calling The first interface function associated with the system service acquires corresponding interface information, and constructs an interface document according to the acquired interface information. The technical solution provided by the embodiment of the present invention can ensure the consistency of the actual interface and the interface document, and realize the isolation of the interface document between various system services.

The present disclosure provides a data warehouse information processing method, the data warehouse includes a plurality of associatively stored history tables, the method includes: obtaining at leastone history query statement, the history query statement is used for querying related data of a plurality of history tables in the associatively stored history tables; the history query statement is used for querying related data of the history tables in the associatively stored history tables. Determining a plurality of history tables corresponding to the at least one history query statement; Generating a target table based on a particular one of the plurality of history tables, the target table including relevant data in the particular history table.

The invention provides a version construction automation realization method and device, and the method comprises the steps of analyzing a publishing environment of each project version, extracting thesame part of each publishing environment, defining the same part as a public environment set, defining different parts of each publishing environment as a publishing environment feature environment set, and uploading the publishing environment feature environment sets to a version controller svn; based on the public environment set and the feature environment set of the publishing environment, creating a publishing environment construction component and a dependency component of each project version, and uploading each publishing environment construction component and each dependency component to a version controller svn; creating a version issuing interface and a version issuing environment interface in the continuous integration tool, setting the version issuing interface to obtain project version information, and setting the version issuing environment interface to connect a version issuing environment construction component according to the project version information; and settinga continuous integration tool to obtain project version information through a version issuing interface, and connecting a version issuing environment construction component through a version issuingenvironment interface to construct a version issuing environment, thereby finishing version issuing.

The invention discloses a pneumatic tailoring optimization design method for a flexible inflatable wing structure, and belongs to the field of aircrafts. The implementation method comprises the following steps of: aiming at a flexible inflatable wing structure, optimizing the oblique sweep angle of an air beam on the premise of considering the inflatable internal pressure and the thickness of a membrane material, and selecting the maximum lift-drag ratio of a pneumatic subject and the minimum wrinkle area of a structural subject as optimization targets by taking the allowable stress of the membrane material as a constraint condition; the aerodynamic / structure multidisciplinary strong coupling effect of the flexible inflatable wing is considered, and the aeroelastic characteristic of the flexible inflatable wing structure is improved from the bottom layer design level of changing system rigidity distribution. In the optimization process, an adaptive strategy and an agent model are adopted, a sample point set can be driven to be concentrated near an optimal solution on the basis of reducing the operation cost, the calculation precision of the agent model in the region of interest is further improved, and the optimization convergence difficulty is reduced. For pneumatic cutting optimization of the flexible inflatable wing structure, a high-precision global optimization algorithm is selected, the calculation efficiency is ensured, and falling into a local optimal solution is avoided.

A graphical user interface system that visually represents a graph node having multiple input ports, and that automatically adjusts the number of input ports to the graph node as open input ports are connected to upstream graph node(s) and / or as used input ports are disconnected from upstream graph node(s). Upon detecting that a set of one or more input ports has just been connected to one or more upstream graph nodes, the system may automatically add one or more additional input ports to the visual representation of the graph node without explicit user instruction. Upon detecting that a set of one or more of the input ports has just been disconnected from one or more upstream graph nodes, the system may automatically remove the determined one or more input ports from the visual representation of the graph node.

The present invention provides a method and device for adaptively constructing an indoor three-dimensional scene. The method includes: establishing object association diagrams corresponding to different scene categories according to marked indoor layout diagrams; selecting corresponding targets according to room information and object association diagrams input by users Indoor objects; generate the target indoor layout according to the preset room parameters input by the user and the marked indoor layout; construct the indoor 3D scene according to the target indoor objects and the target indoor layout. The indoor three-dimensional scene self-adaptive construction method and device provided by the present invention improve the efficiency of three-dimensional scene construction.

A graphical user interface system that visually represents a graph node having multiple input ports, and that automatically adjusts the number of input ports to the graph node as open input ports are connected to upstream graph node(s) and / or as used input ports are disconnected from upstream graph node(s). Upon detecting that a set of one or more input ports has just been connected to one or more upstream graph nodes, the system may automatically add one or more additional input ports to the visual representation of the graph node without explicit user instruction. Upon detecting that a set of one or more of the input ports has just been disconnected from one or more upstream graph nodes, the system may automatically remove the determined one or more input ports from the visual representation of the graph node.

The invention relates to a rectangular segmentation graph construction method based on edge orientation, and belongs to the technical field of data visualization. According to the method, the topological graph is directly extracted from the original map, and after the topological graph is preprocessed, rings with the degree smaller than 4 do not exist in the topological graph, so that the divisible topological graph is obtained; on the basis, orientation is carried out on each edge in the divisible topological graph by utilizing relative position constraint, and then an orientation graph with each ring being a rectangle is obtained; and finally, determining the coordinate of each point by using the connection state of each point in the orientation map so as to obtain a rectangular segmentation map. According to the method, an original map does not need to be converted into a PTP map, and the segmentable topological graph can be obtained by directly utilizing a preprocessing mode of setting a rule; and meanwhile, positioning and coordinate determination can be realized through simple iteration only according to the property of the rectangular graph. Therefore, the method is simple in implementation process, does not need extra complex calculation, and can automatically implement the construction of the rectangular segmented graph.

The invention discloses a digital twin method and system based on 3D model matching. The method includes four steps: model and texture training, model matching, texture fusion, and scene placement; wherein, model and texture training is an offline preprocessing step, and model matching, texture Fusion and scene placement are real-time processing steps. The training of the model uses multi-viewpoint silhouette images to learn the 3D structure, and realizes the 3D reconstruction of the polygonal mesh; the training of the texture obtains the texture flow through a fixed UV mapping, and realizes the reasoning from the 2D image to the 3D texture. Model matching uses the reconstructed model and the database model to perform IOU iterative calculation, and obtains the model whose IOU value is closest to 1 as the specified model after matching. Texture fusion is to fuse the specified model after matching with the 3D texture stream after texture inference to form a standard 3D model. Scene placement is to place the 3D model accurately in the 3D scene. This digital twin method automatically generates 3D model scenes and improves the efficiency of digital twins.

The invention relates to a construction method for a Chinese semantic knowledge base, in particular to a machine translation-based construction method for a Chinese semantic knowledge base.The problems that Chinese semantic knowledge bases are insufficient and the labor cost and the time cost are high in the prior art are solved, and the performance of semantic knowledge base translation based on cross-language mapping is improved.The method comprises the steps that 1, a source language end corpus annotated with the entity is obtained; 2, the subject distribution of the entity is obtained through calculation according to a subject model; 3, the translation probability of the entity in the source language end semantic knowledge base is extracted from a phrase translation table according to a source language end entity word list and marked as a P (tj|si); 4, an entity translation model based on source language end semantic knowledge base graph structure information is built.The construction method is applied in the field of construction of Chinese semantic knowledge bases.

The invention discloses a method for constructing a neural network force field model based on a global optimization algorithm, and relates to the technical field of deep learning, and the method comprises the following steps: S1, collecting effective material simulation data according to a research target, carrying out the single-point calibration, classification and screening, and storing the data in a database; s2, according to a research target, selecting energy / energy and force from a database as an evaluation function of a neural network, and training to obtain a neural network model; s3, based on the neural network model obtained through training, performing data sampling through a genetic algorithm, and search of a global space is achieved; s4, performing validity evaluation on the sampling data, automatically submitting the valid sampling data to a supercomputing server for first principle calculation calibration, and merging the valid sampling data into a database to complete a round of iteration process; and S5, repeating the steps S1 to S4 to obtain the neural network force field model adaptive to the research task. According to the invention, automatic construction of the neural network force field model can be realized.