16results about How to "Automatic generated" patented technology

The invention provides a multi-level distribution network path planning method and device, electronic equipment and a storage medium, and in the method, the total travel cost minimization under multiple scenes is taken as a target, and a resource redistribution mechanism and a cache acceleration technology are fused, so that the path planning efficiency is improved. The defect that adaptability, optimality and calculation efficiency of a solution cannot be considered in a traditional method is effectively overcome. Specifically, the method significantly improves the robustness of the final optimization path scheme for demand fluctuation, so that the final optimization path scheme can adapt to various actual scenes; meanwhile, through staged optimization and intelligent caching, the efficiency of the solving process is greatly improved, the consumption of computing resources is reduced, and the quality of a final solution is effectively improved, so that the final solution is closer to global optimum. Finally, the technical effect of quickly and automatically generating a high-quality and executable final optimization path scheme in a complex and uncertain environment is realized.

The invention relates to a visual perception algorithm failure mode formal test method and device, and belongs to the technical field of visual perception. The method comprises the following steps: mining failure modes possibly occurring in an execution process of a visual perception algorithm, and generating a description text of each failure mode; identifying keywords in the description text, associating each keyword with one or more nodes in the knowledge graph, and constructing a failure mode tree of the failure mode; generating a formalized description grammar system structure of the failure mode; for each node in the failure mode tree, generating a nested object in a corresponding formalized description statement based on the formalized description grammar system structure so as to obtain the formalized description statement; and generating a test case based on the formalized description statement. According to the method, the failure test cases corresponding to different failure modes can be generated, so that the visual perception algorithm is tested in an instructive, more accurate and faster manner, and all potential failure modes are effectively covered.

The application discloses a kind of wild fire smoke cluster and its boundary vector automatic identification method, system, storage medium and electronic equipment, belong to satellite remote sensing and disaster monitoring technical field.Method includes: obtaining satellite active fire point, fire event and UVAI data;Fire source area is positioned based on fire event geographic location and initial plume pixel is marked;The spatially continuous smoke cluster connected domain is identified by iterative region growing algorithm;According to the specific distribution form of connected domain pixel in satellite pixel matrix, the accurate closed boundary vector is automatically generated using matching geometric algorithm;Finally, using multiple criteria, the spatial isolated independent smoke cluster is screened out.The application avoids the defects that traditional image method is easily disturbed by environment from physical principle, realizes fully automated processing without training data, and can output vector boundary that can be directly used for diffusion and emission evaluation, significantly improves the accuracy, automation degree and application value of wild fire smoke cluster monitoring.

The invention provides a surface mine live-action modeling system and method. The method comprises the following steps: automatically acquiring oblique photography images and laser point cloud data of a target mine area through an intelligent data acquisition unit; the data is stably transmitted back to a local data processing center through the data communication and transmission unit; performing automatic preprocessing and quality evaluation on the returned data through a data preprocessing and quality evaluation unit to form a quality control closed loop; a live-action three-dimensional model which is high in precision and supports real-time rendering is generated through a live-action three-dimensional modeling engine unit on the basis of a 3D Gaussian technology and by fusing multi-source data and mine semantic constraints; according to the method, the high-precision live-action three-dimensional model supporting real-time interaction is efficiently and automatically generated, and a powerful data basis is provided for mine digital twinning, safety production and intelligent decision making.

The invention provides an urban skyline live-action visual touch interaction optimization method based on multi-scene simulation. The method comprises the following steps: acquiring three-dimensional live-action data of an urban target area; uploading the three-dimensional live-action data to a digital twinborn visual platform, and reconstructing a skyline lightweight live-action model of the urban target district; recording and translating behavior and instruction information of a user for adjusting the skyline model one by one by using a wearable device, and summarizing the behavior and instruction information into preference training data; defining each building monomer in the skyline model as an agent, defining the action and reward function of the agent, and solving the skyline optimization problem of the skyline model by adopting multi-agent deep reinforcement learning; judging whether the loss function and the reward function meet requirements or not; and storing the output scheme, outputting the output scheme to a holographic sand table for operation and display, and performing secondary accurate adjustment. According to the invention, the behavior data of the skyline model can be adjusted based on the user, and the city skyline optimization scheme better meeting the user demand can be quickly generated.

The application discloses an intelligent file digitization processing method and system, and the method comprises the following steps: synchronously scanning paper files through a multispectral line array scanner, and collecting file image data in a visible light band and a near-infrared band respectively; correcting non-uniform illumination and perspective distortion of the file image data, and generating a geometrically and coloristically standardized double-channel fusion file image; outputting structured layout description information containing a text area, a table area, a signature area and an illustration area based on the double-channel fusion file image; generating a preliminary file information graph according to the structured layout description information; and finally outputting a fully-structured digital file object meeting archiving standards based on the file information graph and a preset file metadata specification. By using the embodiment of the application, a fully-structured digital file object can be automatically and high-faithfully generated, and the accuracy, completeness and knowledge level of digitization processing are improved.

The invention relates to a three-dimensional tooth model local coordinate system prediction method. The method comprises the following steps: S1, acquiring a three-dimensional digital model of a single tooth; s2, sampling a single three-dimensional tooth to obtain a three-dimensional point set of the tooth model; s3, predicting a three-dimensional vertex by using the trained deep learning model; s4, fitting a linear vector and generating a local coordinate system vector; s5, carrying out vector cross multiplication operation on the x vector and the z vector so as to construct a y vector of the tooth local coordinate system; and S6, carrying out cross multiplication on the y vector and the z vector to obtain a new x vector, and completing the construction of the tooth local coordinate system. According to the method, the local coordinate system of the teeth can be automatically and accurately generated, the digital processing precision in the fields of tooth restoration, orthodontic treatment and the like is improved, meanwhile, the time for making and implementing a treatment plan is shortened, and the working efficiency is improved. Manual rule setting is not needed, the limitation of a traditional algorithm is avoided, and the processing capacity of a complex tooth model is improved.

The invention provides a teaching annotation data generation method and device for a body agent and electronic equipment. The method comprises the steps of obtaining simulation original data and obtaining a running task of a target body agent; based on the simulation original data, obtaining an action semantic annotation and a scene semantic annotation matched with the simulation original data; decomposing a running task of the target body agent into a plurality of running sub-tasks, and labeling each running sub-task to obtain a sub-task set label matched with the running task; and on the basis of the action semantic annotation, and / or the scene semantic annotation, and / or the subtask set annotation, obtaining teaching annotation data of executing the running task by the target body agent. The teaching annotation data can be automatically and efficiently generated.

Embodiments of the present application provide a home configuration method, device, equipment and medium, the method comprises: obtaining the home configuration demand information of a target user; determining the data score level of the target user according to the home configuration demand information of the target user and preset data score rules; obtaining the target recommendation model according to the data score level of the target user; determining the target home configuration information according to the home configuration demand information of the target user and the target recommendation model; the configuration scheme meeting the user demand can be automatically and quickly generated, the configuration efficiency is significantly improved, the user waiting time is shortened, the user demand is accurately met, and the user experience and satisfaction are improved.

This invention discloses a method for identifying land cover in highly heterogeneous areas. The method includes: collecting heterogeneous historical land cover products of the target area and obtaining stable regions of different cover types through overlay analysis; dividing the target area into blocks based on its latitude and longitude information with a spatial constraint of 1°×1°, then setting three thresholds of 50, 70, and 100, and using a stratified sampling strategy to obtain uniformly distributed sample data of the target area; acquiring temporal optical, radar, and digital elevation data of the target area, and addressing the influence of clouds and rain through data synthesis; and finally constructing a tile-based classification model for classification. The tile-based classification model constructed in this invention addresses the heterogeneity of plateau regions, fully considering the similarity of adjacent land features and the large climate span of the plateau. Simultaneously, a strategy for stable, rapid, and uniform sample data generation is developed, saving material and financial resources. The mapping results provide data support for ecological civilization construction and biodiversity conservation.

The embodiment of the invention provides a compiling method, a compiling device, electronic equipment and a storage medium, and belongs to the technical field of computer compiling. The corresponding method comprises the following steps: mapping operator nodes of a predetermined target application to a virtual processing unit; generating a PE array according to the plurality of virtual processing units; wherein the PE array is used for representing the operator nodes executed by the virtual processing unit, a corresponding execution clock period, a hardware function unit supported by the virtual processing unit and a data dependency relationship among a plurality of operator nodes; and generating a hardware description language code of the target application according to the PE array. According to the method, one-time and collaborative global optimization can be carried out on the target software and the bottom-layer reconfigurable hardware architecture, so that a high-performance and high-energy-efficiency customized computing system is efficiently and automatically generated.

The invention provides a PCB layout generation method and electronic equipment. The method comprises the following steps: acquiring layout design parameters; generating a condition vector according to the layout design parameters; inputting the condition vector into a pre-trained diffusion model, and performing multi-round reverse denoising processing by the diffusion model based on the initialized noise image and the condition vector to obtain an initial PCB layout image; and verifying the initial PCB layout image, and generating a target PCB layout image according to a verification result. According to the method, the layout design parameters are acquired, the corresponding condition vectors are generated, and the pre-trained diffusion model is utilized to perform multi-round reverse de-noising processing on the initialized noise image, so that the initial PCB layout image meeting the design requirement is intelligently generated; and the final target PCB layout image is obtained by verifying and optimizing the initial image, so that the problem that the PCB layout scheme cannot be efficiently and automatically generated in the prior art is effectively solved.

Provided is an automatic report generation system capable of automatically generating reports for various purposes. A report automatic generation system is provided with a speech recognition unit (3) that recognizes that a pre-stored start term has been input, a timing unit (7) that determines a start time on the basis of the time at which the speech recognition unit (3) recognizes that the start term has been input, and a term dictionary (9) that determines a start time on the basis of the time at which the speech recognition unit (3) recognizes that a pre-stored end term has been input. A timing unit (7) determines an end time on the basis of the time at which the speech recognition unit (3) recognizes that an end term has been input, and the speech recognition unit (3) stores speech from the start time to the end time as recorded speech, analyzes the recorded speech, extracts and stores an utterance keyword in terms included in the recorded speech, and stores the utterance keyword in the terms included in the recorded speech. Wherein the utterance keyword is an utterance included in the utterance dictionary (9), and the automatic report generation system generates a file that includes information relating to the start time, the end time, and the utterance keyword and that is associated with the recorded voice.

The invention provides a code generation method and system, and the method comprises the steps: reading a database based on a database configuration file, and obtaining table structure information in the database; based on a self-defined database dialect class, table structure information is mapped to attributes of a Java class through a Doma2 framework, a Java entity class, a DAO class and an SQL statement are output through a FreeMarker template engine, and the DAO class comprises annotation configuration information; and integrating the Java entity class, the DAO class and the SQL statement into a Spring MVC framework according to the annotation configuration information to obtain a database access layer code. According to the scheme, automatic generation of the database operation codes can be achieved, the flexibility and expansibility of generated codes can be guaranteed, and high reusability and consistency are achieved.

Embodiments of the present application provide an image generation method and device, electronic equipment and storage medium, relating to the technical field of image generation, the method comprising: obtaining a video to be analyzed and a reference image of a target object, wherein the reference image is used to provide identification features of the target object; frame extraction is performed on the video to be analyzed to obtain each original image; according to the identification features of the target object in the reference image, an image region including the target object is identified in the original image; the image region and image editing instructions are input into a large image editing model, and a target image including the target object generated by the large image editing model according to the image editing instructions and executed on the background region in the image region except the target object is obtained. Thus, the electronic equipment automatically captures the picture of the target object in the video and automatically generates an image including the target object based on the picture, greatly improving the generation efficiency of the image.

The one or more embodiments of the specification provide a 3D digital pattern generation method, device, electronic equipment and storage medium. The method comprises: in response to a pattern designation operation, obtaining a designated 2D pattern and determining a corresponding pattern coverage area; determining a target material and at least one corresponding target basic manufacturing process, wherein each target basic manufacturing process has a corresponding target process simulation algorithm; and generating a 3D digital pattern matching the pattern coverage area using the target process simulation algorithm, wherein the 3D digital pattern has the target material. The method can improve the generation quality and efficiency of the 3D digital pattern, and improve the reusability of the 2D pattern.