16 results about "Forms processing" patented technology

This invention relates to the field of shipbuilding equipment technology and discloses a vision-based multi-point forming processing device for hull curved panels. The device includes a base plate, with a sliding rod slidably connected inside the base plate. A lower pressure plate is fixedly connected to the top of the sliding rod. A sliding support plate is fixedly connected inside the base plate, and the lower pressure plate is fixedly connected to the outside of the sliding support plate. An adaptive component is disposed inside the sliding support plate, including a sliding frame. The outside of the sliding frame is disposed inside the sliding support plate, and miniature pressure sensors are fixedly connected to the inner bottom walls at the four corners of the sliding frame. A servo hydraulic cylinder drives the sliding block and a first auxiliary elastic element to slide downwards synchronously, thereby achieving adaptive adjustment of the loading height and pressure, realizing adaptive closed-loop stable control of the pressure at each loading point, and the buffer layer can adaptively conform to the local curved surface of the hull curved panel.

The application relates to the technical field of audio signal processing and speech recognition, and discloses a portable sound amplification and speech transcription system which comprises a wind noise sensing and separating module, a beam forming processing module, a dual-path processing module, a speech recognition module, a vocabulary correction module, a power consumption management module and an interactive management module.

The application relates to the technical field of data processing, and discloses a structured form processing method and system based on intelligent identification and a storage medium. The method comprises the following steps: obtaining to-be-identified data, identifying structured data containing a first-level grouping, a second-level grouping and form subitems through a three-column progressive parsing algorithm; sequentially converting the structured data into standard data and form data through first and second conversion algorithms; obtaining type content data containing explicit marking content and implicit judgment content by parsing the form data through a type judgment algorithm; extracting training data to generate form prompt words, processing the form prompt words through a large language model to obtain processing intermediate data; and identifying and storing the Boolean type field after being compressed into an integer through a bit operation storage algorithm. Through intelligent identification and dynamic compression optimization, the application realizes efficient structured processing of form data, adapts to multiple formats of forms, improves data processing accuracy and storage efficiency, guarantees data integrity, and is suitable for various form processing scenes.

This utility model provides an adjustable high-efficiency bending and forming processing device for hardware parts, belonging to the field of hardware bending technology. It includes an adjustment assembly, comprising an adjustment plate disposed on the top of a base, a second sliding plate slidably disposed inside the adjustment plate, a cover plate on the top of the adjustment plate, a lifting rod at the bottom of the cover plate, the bottom of the lifting rod being connected to the second sliding plate, a first expanding plate slidably disposed outside the second sliding plate, a support plate at the bottom of the first expanding plate, and a connecting upper plate at the bottom of the support plate. The adjustment plate on the top of the base provides basic support. The lifting rod at the bottom of the cover plate extends and retracts, causing the internal second sliding plate to move up and down, adjusting its longitudinal position. The first expanding plate outside the second sliding plate can slide horizontally, working in conjunction with the support plate and the connecting upper plate to achieve lateral and vertical posture adjustment, adapting to different bending processing positions and height requirements, and improving processing flexibility.

This invention proposes a method for processing the shape of metal products, comprising the following steps: S1, pretreatment; S2, dividing the sheet metal into low-resilience and high-resilience regions; S3, simultaneously collecting stamping pressure and springback data for each region during stamping; S4, the control module determines the type of stamping anomaly based on the real-time collected data and comparison with a preset standard range; S5, the control module adjusts process parameters according to the anomaly type to eliminate the anomaly; S6, post-forming processing. This invention solves the problem in existing technologies where uniform process parameters cannot adapt to differences in springback force across regions by dividing low-resilience and high-resilience regions according to preset holes, employing segmented molds for zoned stamping, and combining preset process parameters with dynamic adjustments based on regional characteristics. This effectively avoids the defects of insufficient stamping in low-resilience regions and excessive constraint in high-resilience regions, improving the stamping forming accuracy and product qualification rate of metal sheets with preset holes.

The application discloses a kind of original structure invariant web form processing method and device, the method includes listening to the user interaction event corresponding to form area, obtains current user operation, determines the operation type corresponding to current user operation, obtains the operation flow corresponding based on operation type, based on operation flow, the independent operation processing of current web form is carried out in display layer, and the web form after processing is obtained.This scheme is only to the independent operation processing of current web form in display layer, without modifying the original form structure, realizes the automatic identification of current user operation type and operation flow distribution;And can not modify back-end data or business logic, reduces the use threshold of non-technical user;At the same time, a variety of operation types can be implemented to operate and process current web form, improve the flexibility and adaptability of form processing.

This invention discloses an office document processing method and system based on big data and deep learning, comprising the following steps: S1, collecting and preprocessing office document data to generate an office text sequence; S2, performing syntactic analysis and structural annotation on the office text sequence to form a document structure sequence; S3, performing semantic modeling and tag matching on the document structure sequence to obtain a semantic tag sequence; S4, extracting document topics, business entities, and key fields from the semantic tag sequence to form a semantic feature sequence; S5, performing node matching and path expansion based on the semantic feature sequence to generate a graph matching path set; S6, classifying, archiving, and workflow based on the graph matching path set to form processing feedback data; S7, updating based on the processing feedback data. This invention combines syntactic analysis and the BERT model, possessing advantages such as high accuracy in semantic understanding, high degree of automation in document processing, and strong consistency in processing results.

This specification discloses a form processing method, apparatus, device, and medium, comprising: when designing a specified form using a first form designer, determining new content for the specified form, wherein the first form designer completes form processing through a visual interface; if it is determined that the new content exceeds the processing range of the first form designer, opening the specified form using a second form designer, wherein the second form designer completes form processing through specific code instructions, wherein the second form designer has the same workspace rendering engine as the first form designer; determining the specified code instructions corresponding to the second form designer based on the new content, and processing the specified form according to the specified code instructions.

This invention discloses an AI-powered intelligent recognition and automated form filling system for the manufacturing industry, integrating OCR and NLP technologies, and its implementation method, belonging to the field of manufacturing digitalization technology. The core of this technology lies in achieving rapid recognition of business scenarios with multiple input types, including voice, text, and documents, through the integration of OCR and NLP technologies. It utilizes a JSON template with a table structure to complete standardized data parsing and automatically links and opens the corresponding business modules to automate form filling. Specifically, it quickly matches input information with business scenarios by constructing a scenario feature library and a JSON mapping system with the table structure; it uses enhanced OCR to extract image / document data and NLP technology to parse voice / text semantics, generating JSON format data conforming to the table structure; finally, it automatically calls and opens the target business module to complete data filling and process triggering. This invention solves the technical pain points of slow scenario recognition, non-standard data parsing, and the need for manual switching of business modules in traditional manufacturing form processing, significantly improving form processing efficiency and business continuity. It can be widely applied to various manufacturing scenarios such as equipment inspection and invoice recognition, and has strong practicality and scalability.

The application discloses a form processing method and device, a distributed form system and a computer storage medium. The form processing method comprises the following steps: receiving a form processing instruction through a presentation layer; sending a form storage file generated based on the form processing instruction to an application layer through the presentation layer; acquiring a form service corresponding to the form storage file through the application layer, and sending the form storage file and the form service to a domain layer; performing business logic processing on the form service and performing analysis processing on the form storage file through the domain layer, obtaining form data, and sending the form data to an infrastructure layer; persisting the form data through the infrastructure layer, and querying whether form configuration information corresponding to a form identifier of the form data exists in a cache according to the form identifier, updating the form data in the cache if the form configuration information exists, or writing the form data into the cache if the form configuration information does not exist. The technical scheme can efficiently and reliably process form data.

The application discloses a version-controllable dataset automatic evolution method based on a large language model, mainly including a data crawling module, a data analysis module, a data labeling module and a task form processing module. The application reduces the need for manual intervention by introducing an automatic updating mechanism. Specifically, the multi-agent system can monitor the version update of third-party libraries in the Python ecosystem and update the dataset according to the latest library version. This automatic updating mechanism not only improves the efficiency of dataset maintenance, but also ensures the timeliness of the dataset, providing reliable technical support for the adaptability evaluation of LLMs in dynamic development environments.

The application discloses a kind of manufacturing unit deployment methods of fusing single point incremental forming and drive-by-wire equipment, comprising: determining manufacturing unit deployment as storage area, single point incremental forming processing unit (processing input area, processing center, processing output area), drive-by-wire equipment assembly unit (assembly input area, assembly center, assembly output area), assembly completion area, establish three kinds of assembly resource model including drive-by-wire equipment, assembly center and assembly completion area Petri net model, determine that drive-by-wire equipment exists waiting to carry, carry workpiece, reset, maintenance state information, assembly center exists waiting to assemble, check assembly, assembly workpiece, assembly maintenance state information, assembly completion area exists two kinds of state information of available storage space and occupied storage space.The application divides manufacturing unit into different functional areas, improves product quality and processing and assembly efficiency, utilizes Petri technology to realize the state perception of dynamic and efficient manufacturing resources, and optimizes resource allocation efficiency.

The present application relates to the technical field of image data processing and three-dimensional reconstruction, and particularly relates to a multi-stage pipeline parallel computing architecture and method based on 3D video sequence data. In the process of continuously collecting images of a target to be measured, multiple image data at the same collection time are organized as processing data units and used as basic processing objects for three-dimensional reconstruction calculation. A multi-stage pipeline processing flow including multiple processing stages connected in sequence is constructed, so that the continuously formed processing data units can be executed in parallel on different processing stages, wherein the output of a previous processing stage for the same processing data unit is used as the input of a subsequent processing stage for the processing data unit. In the case of continuous image collection by a 3D camera, continuous real-time output of three-dimensional reconstruction results is achieved. The present application reconstructs the continuous three-dimensional reconstruction calculation flow into a multi-stage pipeline parallel processing, reduces the synchronization overhead, improves the hardware computing power utilization rate, and realizes continuous real-time output of the reconstruction results.

The application discloses a user intention processing method and device based on a large language model, equipment and a medium, and relates to the field of form processing. The method comprises receiving instruction text input by a user, determining a target intention category corresponding to the instruction text based on a pre-trained first large language model and a first preset prompt word template; when the target intention category is a menu intention, obtaining a plurality of structured routing information, determining target structured routing information from the plurality of structured routing information according to the instruction text, and opening a target menu; and when the target intention category is a form intention, determining a target form corresponding to the instruction text and an entity of the instruction text mapped by a field in the target form based on a pre-trained second large language model and a second preset prompt word template, and generating an interactive component. The application can improve the business processing efficiency and accuracy of the user.

The application discloses a kind of table conical stand processing device and process, including workbench, workbench upper portion is equipped with working frame and support table, working frame upper portion is equipped with lifting mechanism, lifting mechanism lower portion is connected with briquetting, lifting mechanism can drive briquetting up and down, briquetting is located just above support table, and working frame both sides are hinged with movable arm, movable arm includes positioning plate, support table and briquetting form processing area between, rotating movable arm, to make positioning plate close or away from processing area.The application is processed by setting processing device, both can facilitate the production of stand frame, and can also facilitate the direct coating of sheet outside stand frame, realize the production of stand.

The application discloses a Korean input method, an input device and an electronic device, and relates to the technical field of input methods. The Korean input method comprises the following steps: obtaining a Korean character input by a user; performing single-character processing on the Korean character based on the input sequence of the Korean character, determining combinations capable of forming a single character and characters incapable of forming a single character; directly decoding the combinations capable of forming a single character into single characters, and performing a completion operation based on the single characters and / or the characters incapable of forming a single character to obtain new candidate words and / or candidate characters. The application firstly establishes a Korean basic term model, performs character forming processing on Korean characters through a Korean maximum combination algorithm, expands single characters into word groups through the Korean basic term model, expands Korean characters into Korean single characters, and trains the Korean basic term model according to the last selection of a user, thereby providing more suitable expansion results for the user and improving input efficiency during input.