13results about How to "Implement automatic conversion" patented technology

The embodiment of the invention provides a body block generation method and system based on a freehand sketch, and belongs to the technical field of image processing and three-dimensional modeling. The method comprises the following steps: acquiring a freehand sketch image and extracting a closed contour candidate set to generate a polygon candidate set; a measurement anchor point set in the freehand sketch image is identified, a spatial scale field is constructed according to the measurement anchor point set, and the polygon candidate set is mapped into a Mie-system bottom surface polygon set; extracting a height hinting feature set corresponding to the Mie bottom surface polygon set, determining an absolute height value according to the height hinting feature set and the measurement anchor point set, and generating a body block parameter set; and constructing a spatial constraint graph and executing position adjustment calculation, generating a three-dimensional block set and outputting a three-dimensional model file. According to the scheme, numerical extraction and unified mapping of the scale information and the height suggestion information in the freehand sketch are achieved, and the three-dimensional block model with the consistent geometrical relationship is generated under the spatial constraint condition.

The invention discloses a battery piece detecting and packaging production line and method.The production line comprises a battery piece feeding mechanism, a battery piece counting mechanism, a battery piece detecting mechanism, a bagging mechanism, a bag folding mechanism, a box buckling mechanism and a labeling mechanism which are sequentially arranged in the direction of the production line; and a plurality of carrying mechanisms, a packaging box conveying line, a packaging box feeding unit and a packaging bag feeding mechanism are matched to realize full-process automatic operation. According to the invention, efficient and safe battery piece counting and alignment are realized through combination of inclined vibration regulation and a three-side blowing mechanism; the packaging reliability and the appearance uniformity are ensured through the bagging and bag folding mechanism with unique designs such as bag pressing, inner supporting and folding; the problems that traditional battery piece packaging depends on manual work, efficiency is low, damage is prone to occurring, and consistency is poor are solved, full-process automatic and high-flexibility production of battery piece stacks from feeding, defect detection to packaging and labeling is achieved, and production efficiency and product quality are remarkably improved.

The invention discloses a fine-grained multi-modal knowledge enhanced image generation method and device, and the method comprises the steps: obtaining the text features of an optimized and expanded cue word through a pre-trained text encoder, obtaining the visual features of a corresponding subject image through an image encoder, and carrying out the recognition of the subject image according to the obtained text features and visual features. Splicing is carried out in the feature dimension direction; using a trainable MLP to carry out dimension reduction on the splicing features, converting the features after dimension reduction into embedding conditions, and inputting a reference image into a reference branch to optimize attention parameters; performing multi-dimensional quality evaluation on the generated image, comprehensively generating relevancy between the image and a text cue word and semantic consistency between the image and a domain knowledge graph to output a final quality evaluation score, comparing the final quality evaluation score with a preset threshold value, and judging whether to trigger an introspection agent mechanism by referring to the current feedback frequency; and sending the image hidden space representation obtained from the output of the trunk DiT branch into an image decoder, and restoring to obtain a final generated image. The device comprises a processor and a memory.

The application discloses a kind of object illumination editing methods, systems and media based on single picture, the method of the application includes the single picture of target object is removed strong highlight by trained highlight decomposition network;The picture after removing strong highlight is input into trained normal network to estimate the normal map of target object in picture, the picture after removing strong highlight is input into trained illumination network to estimate the illumination map of target object in picture;According to normal map and illumination map, input trained differentiable rendering layer, obtain the inverse rendering model of target object;Give new illumination, material to the inverse rendering model of target object, then the illumination, material information of the inverse rendering model of target object is re-rendered, obtains the picture of target object under new illumination, material.The application can realize the automatic conversion directly from single image to three-dimensional model, and can be assigned illumination and material information as needed, can be widely applied in augmented reality technology.

The present application belongs to the technical field of intelligent logistics, and discloses a cargo multimedia information intelligent extraction system and method, which comprises the following steps: collecting cargo pictures, video clips and text annotations uploaded by cargo owners, combining with device positioning signals to generate position coordinate binding, and obtaining a multimedia position set; performing content hierarchical scanning, separating visual elements and dynamic sequences to form a hierarchical structure, and obtaining a hierarchical content group; performing cross semantic bridging, constructing an inter-element correlation path, and obtaining an integrated semantic chain; applying attribute extraction cycles to the integrated semantic chain, extracting cargo specification details and transportation constraint segments to form an attribute set, and obtaining a structured attribute set; generating a driver query sequence based on the structured attribute set and the position coordinate binding, integrating a path order factor for adaptive sorting, and obtaining an optimal driver list; and greatly improving the accuracy of cargo supply and demand matching.

The utility model discloses a kind of cable hoisting devices, it is related to the installation technical field of cable or wire.A kind of cable hoisting device, including support frame, lifting frame and fixed base, support frame and lifting frame are fixedly connected on the top of fixed base by bolt, lifting structure, lifting structure is located on lifting frame, lifting structure includes two fixed plates, rotating shaft, two threaded rods, drive motor, two bevel gear rings and two bevel gears, two lifting grooves are set up in the side of lifting frame away from support frame, transmission groove is set up in the both sides of lifting frame, cable placing frame is rotated around support plate by electric telescopic link, realize the automatic conversion of cable from horizontal lifting state to inclined placement state, without manually pushing and pulling cable, avoid the physical exertion problem of manpower pushing cable onto rack, simultaneously, also avoid the cable sliding risk caused by artificial operation out of step, further improve the practicality of cable lifting.

This invention relates to a method and system for converting plane stress element meshes for engine rotor blades. The method includes setting up 3D element arrays and 2D element arrays; traversing the node numbers of all elements in all layers of the 3D element array to obtain the overall 2D node number and calculating its coordinate values; calculating the element node number of the 2D element based on the overall 2D element node number; traversing the nodes of all elements in all layers of the 3D element array to calculate the volume of the 3D element array, and traversing the nodes of the 2D element array to calculate the area of ​​the 2D element array; calculating the thickness of the 2D element array based on the volume of the 3D element array and the area of ​​the 2D element array; and outputting the node coordinates and element information of the 2D element array. This invention can automatically convert aero-engine rotor blades from 20-node hexahedral solid element meshes to 8-node quadrilateral plane stress element meshes, thereby saving a significant amount of manpower, greatly shortening the calculation cycle, and providing a foundation for subsequent high-precision finite element calculations and optimization design of the rotor.

The invention discloses a food news event data query method and system based on a large language model, and the method comprises the steps: obtaining a query request inputted by a user, the query request being food news related question information (such as food safety event details, food policy interpretation, and quality spot check results) described by a natural language; retrieving at least one knowledge block from the RAG knowledge base according to the query request; constructing a first cue word based on the query request, the knowledge blocks and preset food data model information, and inputting the first cue word into a large language model to generate a query statement; event related data (including food types, risk levels, influence ranges, processing results and the like) are obtained from a food news target database according to the query statements; constructing a second cue word based on the query request, the query statement, preset food data model information and event related data, and inputting the second cue word into a large language model to generate a data summary result; and returning a data summary result to the user terminal. According to the method, by fusing the semantic comprehension ability of RAG retrieval and the big language model, accurate analysis and structured conversion of the food news complex query intention are achieved, and the intelligence level and the information acquisition efficiency of food news event data query are effectively improved.

The utility model relates to the technical field of hot-fix rhinestone processing equipment, in particular to a process switching mechanism for hot-fix rhinestone typesetting and plastic uptake. According to the technical scheme, the device comprises a stable base, a moving plate is arranged above the stable base, two sets of electric guide rails are arranged between the stable base and the moving plate, a rotating assembly is arranged on the moving plate, a lifting assembly is arranged on one side of the upper portion of a rotating disc, and an adsorption assembly is arranged on an adjusting arm; a plurality of sets of vacuum suction cups are arranged on one side of the assembling plate, and a positioning assembly is arranged on the periphery of the assembling plate. Through cooperative work of the electric guide rail, the rotating assembly, the lifting assembly, the adsorption assembly and the positioning assembly, automatic switching between hot fix rhinestone typesetting and plastic uptake procedures is achieved, the production efficiency is greatly improved, the adsorption assembly can be accurately positioned through the positioning assembly, and the production efficiency is improved. The positions of the hot fix rhinestones of different specifications and shapes are accurate in the transferring process, and the problems of position deviation, damage and the like of the hot fix rhinestones are solved.

The application discloses a text conversion method, a text conversion device, a text conversion equipment and a storage medium, and the method comprises the following steps: when a conversion instruction is detected, determining text content needing to be converted in the text to be converted according to preset conversion information, and then determining the target text finally needed according to the text content needing to be converted. According to the application, when the text conversion instruction is detected, the text to be converted provided by the user is converted into the target text needed by the user, so that the automatic conversion between texts is realized, the text to be converted can be accurately recognized according to the preset conversion information, and the efficiency and accuracy of the text conversion are greatly improved.

The invention discloses an improved YOLOv8-based hydraulic cylinder structure size identification method and system, and the method comprises the steps: constructing an improved YOLOv8 target detection model: embedding a direction sensitive convolution module in front of a spatial pyramid rapid pooling module of a backbone network, introducing an external attention mechanism into a cross-stage partial fusion module, and carrying out the detection of the target detection model; a multi-scale attention aggregation module is integrated in the neck network; performing multi-size cooperative detection on a hydraulic cylinder drawing by using the trained model, identifying various installation size areas, and generating an identification image; segmenting each size region, extracting a structure-installation size association sub-graph, identifying a size text in the structure-installation size association sub-graph through an optical character identification model, and generating structured association data; checking, matching and associating the associated data based on a predefined installation size mapping function; and fusing the recognition and verification results, performing multi-level verification based on the geometric constraint of the hydraulic cylinder structure and a tolerance accumulation rule, and generating a natural language output result.

The application discloses a T-shaped corner weld identification method and system based on laser vision, and belongs to the technical field of automatic welding and machine vision, and comprises the following steps: collecting images, performing enhancement processing on the collected images, and extracting an effective laser stripe area; center lines are extracted from the effective laser stripe area, and the center line coordinates are converted into three-dimensional point cloud data; the three-dimensional point cloud data is subjected to geometric feature optimization processing, and a RANSAC algorithm with spatial geometric constraints is used to fit and identify the geometric features of a T-shaped corner weld structure; based on the geometric features of the T-shaped corner weld structure, the three-dimensional coordinates of the key nodes of the weld are calculated through linear end point distance constraints, three-dimensional intersection calculation and Z-axis height screening. The application can realize automatic and high-precision acquisition of the position of the weld, realize automatic conversion of the weld from a two-dimensional image to a three-dimensional robot coordinate system, and significantly improve the degree of welding automation.

This invention relates to a database script logic conversion system and method, belonging to the field of computer script compilation technology, and solves the problems of low efficiency and high error rate in existing manual script conversion. The system includes a matching module, which matches keywords from multiple source language databases with keywords from a target language database to identify discrepancies; a database function creation module, which creates conversion functions to convert discrepancies into corresponding keywords in the target language database; a database script splitting module, which splits the source language database script to be converted into multiple logical script segments according to the discrepancies; and a database script conversion module, which converts the discrepancies in the source language database script by calling the conversion functions and adjusts the order of the multiple logical script segments to obtain the target language database script. This system can automatically convert database scripts between different source languages.