154 results about "Form processing" patented technology

The invention relates to the technical field of narrow-band filters, and discloses an ultra-low power consumption narrow-band filter implementation method based on a digital phased array system, and the method comprises the following steps: S1, collecting input signal data, carrying out the adaptive preprocessing, and generating preprocessed signal data; s2, performing digital beam forming processing based on the preprocessed signal data to generate digital beam forming data; s3, performing narrowband filtering parameter matching processing according to the digital beam forming data to generate narrowband filtering parameter data; in the narrowband filtering processing process, disturbance of environmental electromagnetic interference to a target signal is identified and eliminated in real time through adaptive noise suppression and a multi-dimensional signal preprocessing mechanism, so that the system can guarantee the pointing precision of digital beam forming, the pointing offset problem in the space signal capturing process is avoided, the accuracy of narrowband signal extraction is improved, and the accuracy of narrowband signal extraction is improved. And the reliability of filtering output and the signal fidelity are enhanced.

The invention provides an authentication document form generation method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining an authentication document; converting the authentication document into an XML (Extensible Markup Language) file so as to map authentication document data to an XML tree node of the XML file; standardizing the XML file through the global unique identifier and the tag system to obtain a standardized XML file; in combination with the standardized XML file, template candidate items conforming to different manageable data templates in the authentication document are extracted respectively; in combination with the template candidate item, mapping the authentication document to a target form; and establishing a bidirectional mapping relationship between the target form and the authentication document to realize bidirectional conversion between the target form and the authentication document and complete the form processing of the authentication document. Through establishment of the bidirectional mapping relation, synchronous updating of the form and the document content can be achieved, errors caused by manual operation are avoided, and automation, accuracy and practicability of document conversion are remarkably improved.

The invention discloses an automatic filling method and system based on YOLO and RPA, and the method comprises the steps: collecting a form interface image through screen capture, inputting the image into a YOLO model for processing, and recognizing form elements to generate bounding box information; reading data from an external data source, matching a corresponding relationship between the data and fields according to a preset mapping rule, verifying a data format, and obtaining a data set passing verification; using RPA to simulate user operation, inputting data passing verification into a form field, and formatting to obtain a filled form interface; checking fields required to be filled and data formats, and determining the validity of the form; simulating and clicking a submission button to complete form operation, and recording a submission result; and monitoring potential errors in the whole process, performing classified processing, recording detailed log information, and obtaining an optimized filling record. According to the method, the automation degree and accuracy of form processing are remarkably improved, the manual operation burden is reduced, the business process efficiency is optimized, and the method is suitable for complex form filling scenes.

In a case where it is determined that forming processing can be performed, a curable composition on a substrate is cured by a first curing unit in a state where a member is in contact with the curable composition, the member is separated, and the curable composition is further cured by a second curing unit. In a case where it is determined that the forming processing cannot be performed, the curable composition is cured by the second curing unit in a state where the curable composition is separated from the member without the curable composition being cured by the first curing unit. This can prevent carry-out of the substrate to which an uncured composition is applied and contamination inside and outside an apparatus even in a case where normal processing cannot be performed.

The invention relates to an attachment certificate dynamic form processing method and system, and belongs to the technical field of enterprise financial certificate intelligent processing, and the method comprises the steps: receiving an attachment certificate uploaded by a user, and extracting metadata features such as a file size, a format type and a hash value to generate an attachment object; carrying out fragmentation storage on the object by adopting an Erase Coding algorithm, and generating a voucher type identification cue word based on metadata; analyzing the voucher through a hybrid recognition model fusing a convolutional neural network and a Transform encoder, and outputting structured data containing a voucher type identifier; mapping the data into a database entity and triggering a voucher life cycle state change event, and driving a business rule engine to dynamically generate a form mode definition associated with a voucher type; and in response to user query, generating an interactive form through a responsive rendering engine in combination with a voucher type, state and authority dynamic combination form mode and instance data.

The invention discloses a medicine production data table processing method based on document analysis and HTML rendering, and relates to the technical field of document data processing. The medicine production data table processing method based on document analysis and HTML rendering comprises the steps that S1, table recognition data, position mapping data and expressive data are collected and preprocessed, and a standardized table state data set is constructed; s2, analyzing semantic association closeness between the nested table and the affiliated paragraph, and adjusting an affiliation marking strategy of the table; s3, evaluating the structuring degree of the cells, and reconstructing the logical hierarchical relationship of the table structure; s4, evaluating the information importance of the cells, and adjusting the layout priority of the cells; and S5, generating a structured record and connecting the structured record to a business process of a manufacturing execution platform. The problem that a document structure and a business field are lack of binding, and construction of a unified data main line and a business driving process is seriously hindered is solved.

The invention discloses an automatic form detecting and filling method based on deep learning. The method comprises the following steps: scanning a form interface to obtain element positions and type identifiers; performing feature extraction and classification on the elements, and determining specific types and functions; constructing a field relation graph, and analyzing logic dependence and business association; establishing a mapping relation from data to fields in combination with historical data and external information; logic verification and format conversion are carried out according to dependency constraints and linkage rules; a parallel processing technology is adopted for grouping filling, and batch automatic processing is achieved; abnormities are monitored in real time, logs are recorded, and submission states are determined. According to the method and the system, efficient integration of form identification, classification, data association and automatic filling is realized, and the intelligent level of form processing and the service scene adaptation capability are greatly improved.

The invention provides a high-temperature titanium alloy special-shaped ring forging preparation method and device based on a twin model, and is applied to the technical field of titanium alloy forming machining. The method comprises the following steps: constructing a three-dimensional digital twinborn model of the high-temperature titanium alloy bar according to collected three-dimensional scanning data and material characteristics of the high-temperature titanium alloy bar; acquiring real-time deformation data of the high-temperature titanium alloy bar subjected to forming processing treatment by ring forging forming equipment; updating model parameters of the three-dimensional digital twin model in real time according to the real-time deformation data; according to the model parameters, an equipment adjusting instruction is generated, and the equipment adjusting instruction is used for instructing the ring forging forming equipment to be adjusted according to equipment adjusting parameters; and the adjusted ring forge piece forming equipment is controlled to continue to conduct forming machining treatment on the high-temperature titanium alloy bar, and the target special-shaped ring forge piece is obtained. According to the method, manual participation is not needed, and the machining efficiency and the forming effect of the target special-shaped ring forge piece can be effectively improved.

The invention discloses a front-end complex form processing method, device and equipment and a storage medium, and relates to the technical field of front-end form development, and the front-end complex form processing method comprises the steps that form configuration information containing form field definitions, linkage rules and verification rules is received; analyzing the form field definition to obtain a standardized component node configuration carrying a field type, a field attribute and a verification rule; dynamic rendering processing is carried out according to the standardized component node configuration, an actual form interface bound with state variables is obtained, and the state variables store current values and display attributes of all form fields; when a preset linkage trigger event is detected, updating a corresponding field value or a display attribute in the state variable based on a linkage rule; in response to the data submission request, the target field value is extracted from the state variable to generate the form data, and the form data is verified based on the verification rule to obtain the verification result, so that the form processing efficiency and effect are remarkably improved.

The invention provides a cross-system form intention generation and cooperative interaction method based on an intelligent agent, and relates to the technical field of man-machine interaction, and the method comprises the steps: generating and verifying standard intention representation through semantic analysis, determining a target form and a system entity, and extracting pre-filling data; obtaining interface meta-information to construct structured field knowledge, and generating form configuration; rendering a form interface and injecting pre-filling data; and constructing a trust chain to verify the identity and determine an authorization range, converting the form data and calling a target interface. The cross-system service form processing efficiency can be effectively improved, and the data security and the user experience are enhanced.

The invention discloses an intelligent form processing method and system based on rule tree optimization and large model screening, and relates to the technical field of artificial intelligence and data automation. The problems that the processing efficiency is low due to static solidification of a rule system, redundancy of execution paths and dispersion of homogeneous rules in a traditional form processing method, and the screening accuracy is low and the labor cost is high due to the lack of effective judgment capability for complex, fuzzy or implicit condition data of semantic understanding are solved. By constructing and optimizing the rule tree structure and combining with the semantic comprehension ability of the large language model, automatic grading processing and intelligent screening of the form are realized. Firstly, deterministic rule matching and filtering are completed by a rule tree, then semantic judgment is carried out in a logic context by utilizing a large model for uncertainty data, and finally, a screening result is fused and output. According to the method, the efficiency, the accuracy and the automation level of form processing in a complex business scene are remarkably improved.

The invention relates to a form processing method and device, computer equipment and a storage medium, and the method comprises the steps: displaying a preset application management page when a form processing request triggered by a user is received; wherein the form processing request carries a form entity demand input by a user, and the application management page comprises a preset component library; receiving a service component screened from a component library in the application management page by a user; extracting a form entity demand from the form processing request, and constructing a corresponding table unit model based on the form entity demand and the service component; based on preset component integration configuration information, performing page rendering on the table unit model to generate a corresponding form interface; generating corresponding form instance data based on business data input in the form interface by a user; judging whether a triggered form storage action event is received or not; and if yes, storing the form instance data. According to the method and the device, the form construction efficiency is effectively improved, and the form construction flexibility is improved.

The invention relates to a table processing method and electronic equipment. The method comprises the steps of obtaining a to-be-processed worksheet file; determining, through a large language model for table understanding, structured information of the worksheet file, the structured information comprising at least one of the following items of a worksheet for the worksheet file: information of a logical sub-table, row description information, or grouping information; and storing the structured information using a predefined format. In this way, the embodiment of the invention provides a method for understanding the structure of the table, and deep understanding of the internal semantic structure of the table is achieved.

The embodiment of the invention discloses an ultrasonic signal denoising method and device, a model training method and device and a storage medium, and the method comprises the steps: receiving a plurality of pieces of first ultrasonic channel data returned by a target tissue through an ultrasonic probe, inputting each piece of first ultrasonic channel data into a machine learning model, and carrying out the denoising processing, and then beam forming processing is performed on the multiple pieces of second ultrasonic channel data after denoising processing to obtain synthesized radio frequency data, and an image of the target tissue is obtained based on the synthesized radio frequency data and is displayed, so that noise in the ultrasonic echo signals is effectively removed. Wherein the machine learning model can remove noise data from the ultrasonic signal, so that the signal-to-noise ratio of the ultrasonic signal is improved, and the imaging quality of the ultrasonic image is improved. Based on this, the ultrasonic signal denoising method provided by the embodiment of the invention can effectively remove noise in the ultrasonic echo signal, improve the signal-to-noise ratio of the ultrasonic signal, and improve the imaging quality of the ultrasonic image.

The invention relates to a form processing method and system, electronic equipment and a storage medium, and is applied to the technical field of computers.The method comprises the steps that in response to a preview instruction for a target form, the target form is rendered in a canvas preview area, so that at least one form component in the target form is displayed in the canvas preview area; obtaining editing data of a target form component, wherein the target form component is a form component in the at least one form component; and rendering the edited data in the canvas preview area.

Embodiments of the present application provide a table processing method, an electronic device, a storage medium and a computer program product. The table processing method comprises: processing a target table file by a generative model to obtain standard data table data corresponding to the target table file; storing the standard data table data in a target storage unit, and establishing an external table of the standard data table data in an analysis database corresponding to the target storage unit; processing by the generative model based on metadata of the external table to generate a data query instruction; and executing the data query instruction to determine a data analysis result for the target table file based on the external table. The present scheme can realize intelligent table analysis.

An adjustment processing apparatus includes: a film thickness measurement result acquisition unit that acquires a film thickness measurement result of a substrate including a film formed thereon by a film forming processing apparatus; a formulation unit that formulates the film thickness measurement result using an orthogonal polynomial; and an adjustment unit that adjusts a transfer position of the substrate and a process condition of the film forming processing apparatus based on a weight of each component of the orthogonal polynomial calculated during formulation.

The invention relates to the technical field of image processing, and discloses a real-time synchronous pickup data processing method and system for face detection, and the method comprises the steps: carrying out the face detection processing of collected video stream data, starting timing when a face which accords with a preset posture feature is detected in a preset distance range, and carrying out the timing; when the continuous detection time reaches a preset threshold value, an effective face detection signal is generated; in response to the effective face detection signal, when the signal duration reaches a preset threshold value, automatically triggering a pickup device to start recording and synchronously controlling the state of an indicator lamp, and generating original audio data; selecting a beam forming scheme, and performing adaptive beam forming processing on the original audio data to obtain mode specific audio data; performing multi-stage audio enhancement processing on the mode specific audio data to obtain enhanced audio data, and performing role structured transcription on the enhanced audio data to obtain voiceprint identification text data; according to the invention, the efficiency of face detection real-time synchronous pickup data processing can be improved.

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 discloses a preparation process of a high-performance Cu-Ni-Fe alloy based on first-principle calculation design, and relates to the technical field of alloy material preparation. The process constructs a precise Cu-Ni-Fe ternary alloy thermodynamic database by combining a first principle with a CALPHAD method, determines a composition range based on database calculation of a multivariate phase diagram, optimizes the composition by calculating a work function, an elastic constant and a thermal expansion coefficient through a first principle, and obtains a finished product through smelting, heat treatment and forming processing. The final alloy has an atomic percentage composition of Cu 30%-75%, Ni 10%-30% and Fe 10%-30%, a tensile strength of greater than or equal to 816.4 MPa, a total elongation at break of greater than or equal to 34.27%, and a thermal expansion coefficient of less than 20*10 ‑6 / K, and has excellent mechanical properties and thermal stability, thereby solving the problems of blind composition design and large performance fluctuation of a traditional process and being suitable for multiple fields such as ocean engineering and electronic packaging.

The invention discloses a YOLO-based dynamic layout adaptive form identification method, which comprises the following steps of: acquiring form image data, and detecting a cost field position through a YOLO algorithm to obtain a field coordinate; digital information is extracted according to the field coordinates, optical character recognition is adopted to process the digital information, and a cost item classification and calculation formula is determined; verifying the digital information through a calculation formula, judging risk factors, obtaining a corresponding abnormal data mode from a preset risk mode library, and obtaining a risk level evaluation result; processing the abnormal layout by adopting a layout reconstruction algorithm, and determining a recovered form layout structure; and through the recovered form layout structure, obtaining user operation behavior data, judging a behavior mode, and optimizing an interaction mode by adopting a self-adaptive layout generation method to obtain a final acceptance quality evaluation report. According to the method, the form processing efficiency, the data accuracy and the user interaction experience are remarkably improved, and the method is suitable for intelligent processing of complex form scenes.

The application provides a RAG-based table data processing method and system, the method comprises the following steps: obtaining a table analysis path in a file; processing content data in the table; receiving the processed content data, and establishing a mixed index suitable for different table structures of sparse tables and multi-level tables, and a context joint index of the content data in the table and a merged index of adjacent files; obtaining user query content, converting the user query content into a key-value combination, and performing vector retrieval and keyword retrieval; according to the results of the key-value combination, the vector retrieval and the keyword retrieval, performing dynamic template filling, guiding the generation of instructions by a data fine-tuning model, and simultaneously generating lightweight calculation results; combining query delay and accuracy, and adjusting the mixed index and the context joint index into rows, columns or sub-tables. The system comprises an analysis conversion module, a retrieval adaptation module and a generation integration module. The application solves the contradiction between query flexibility and result accuracy in traditional table processing methods.

The utility model relates to a kind of light beam monitoring devices, and the device includes controller, laser, beamsplitter, dichroic mirror, scanning galvanometer, laser information monitoring device and molten pool information monitoring device;Beamsplitter is shaped laser emitted by laser into transmission light and reflection light;Laser information monitoring device is set on the light path of reflection light;Dichroic mirror and scanning galvanometer are sequentially set on the light path of transmission light from front to back;Transmission light after scanning galvanometer is incident to processing plane and is reflected to form processing feedback light by processing plane;Processing feedback light is incident to dichroic mirror after scanning galvanometer and is reflected by dichroic mirror to form processing reflection light;Molten pool information monitoring device is set on the light path of processing reflection light;Controller is connected with laser, laser information monitoring device, molten pool information monitoring device and scanning galvanometer respectively.The utility model has the advantages of being convenient for realizing accurate control, expanding process scene and improving forming quality.

The invention relates to an underground equipment maintenance file transmission method and device, electronic equipment and a medium. The method comprises the steps that a rendering process obtains a mirror image file of a form processing system of terminal equipment; processing the mirror image file according to a preset requirement to update the form; the pre-loading process forwards the updated form to the host process; the host process verifies the file information of each fragment file according to the updated form; transmitting the data to the core service of the reference equipment after the verification succeeds; the core service of the reference device determines a target device according to the information of the updated form, and transmits the updated form to the target device; the target device verifies the transmission condition of the mirror image file of the form processing system according to the updated form, and feeds back the verification result to the rendering process; and the rendering process judges whether the transmission of the mirror image file is completed or not according to the corresponding fragment file when the verification result is successful. According to the invention, cross-device transmission can be carried out on large-capacity maintenance files, and the convenience of maintenance is improved.

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.

The invention discloses a laser energy field auxiliary suspension structure unsupported additive manufacturing system and method. The system comprises a forming machining unit, an energy field auxiliary unit and an online monitoring unit. The energy field auxiliary unit comprises a second laser device and a laser collimator, the second laser device is an energy field auxiliary preheating laser device, the paraxial position of the energy field auxiliary preheating laser device is arranged outside the powder bed fusion forming cabin, and an emergent light beam of the energy field auxiliary preheating laser device is used for locally preheating the powder bed in the printing process after being processed by the laser collimator; the online monitoring unit comprises an industrial camera, an optical tomography camera and a control and analysis unit; the industrial camera and the optical tomography camera are respectively used for collecting a sedimentary layer image and a molten pool light intensity signal in a printing process; and the control and analysis unit receives online monitoring data from the industrial camera and the optical tomography camera, and analyzes and processes images and signals. The paraxial energy field assists in preheating the laser, and controllability and forming quality of support-free forming are remarkably improved.

The invention relates to the technical field of precision machining, in particular to a base material machining method which comprises base material thinning forming machining and further comprises the steps that S1, the base material obtained after thinning forming machining is ground; s2, carrying out quality inspection on the ground base material, wherein the quality inspection comprises the steps of detecting the thicknesses of all detection point positions of the base material; s3, judging whether the quality inspection result is qualified or not; if the thicknesses of all the detection point positions of the base material reach the preset thickness index, the quality inspection result is regarded as qualified, and grinding processing is ended; and otherwise, the quality inspection result is regarded as unqualified, grinding parameters of the base material are set according to the quality inspection result, the grinding parameters comprise the grinding and polishing head specification and the grinding residence time of the position to be ground, and the steps S1-S3 are repeated till the quality inspection result is qualified. Thickness detection feedback is introduced in the grinding process of the base material for precise grinding, and finally the base material with the thickness reaching the standard is machined through iterative grinding.

Provided in the present disclosure are a table processing method and apparatus, and a terminal and a storage medium. The table processing method comprises: in response to a first operation event, creating one or more content fields in a table, wherein each content field is pre-associated with a content type, and an association relationship is configured for the content field and a target field in the table; and acquiring the content of a file in a cell of the target field, and writing the content of the file into a cell of the content field, wherein content corresponding to the content type associated with the content field is written into the cell of the content field, and the file is an attachment in the cell of the target field, or the file is a file pointed to by an address recorded in the cell of the target field. The method in the present disclosure can improve the processing efficiency.

An information processing system includes an acquisition portion and a display control portion. The acquisition portion communicates with an image processing system capable of executing image forming processing for forming an image on a sheet based on image data to acquire function information indicating a function of the image processing system. The display control portion causes, based on the function information, a display portion to display a setting screen including a first setting item relating to a job executable by the image processing system and restricting display of a second setting item relating to a job not executable by the image processing system.