218 results about "Form processing" patented technology

The invention provides an RAG-based table data processing method and system. The method comprises the steps of obtaining a table analysis path in a file; processing the content data in the table; receiving the processed content data, and establishing a mixed index suitable for different table structures of a sparse table and a multi-level table and a context joint index of the content data in the table and an adjacent file merge index; obtaining user query content, converting the user query content into a key value combination, and performing vector retrieval and keyword retrieval; according to results of key value combination, vector retrieval and keyword retrieval, dynamic template filling is carried out, an instruction data fine tuning model guides generation of an instruction, and a lightweight calculation result is generated at the same time; and adjusting the mixed index and the context joint index into a row, a column or a sub-table in combination with query delay and accuracy. The system comprises an analysis conversion module, a retrieval adaptation module and a generation integration module. The contradiction between query flexibility and result accuracy of a traditional table processing method is solved.

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 intelligent form processing method based on multi-modal verification and large model feedback, and relates to the technical field of artificial intelligence and data processing, and the method comprises the steps: obtaining a corresponding business rule from a relational database through a rule extraction and matching request based on user input data; error verification, service logic verification and cross-field and cross-method verification are carried out on the user input data and the corresponding service rules, and verification results are obtained; based on the verification result, natural language feedback is generated through the large model to provide error prompts and improvement suggestions.

The invention discloses an HTML (Hypertext Markup Language) information extraction method and device based on a multi-LoRA cascade strategy, equipment and a medium, and relates to the technical field of HTML information extraction. The information extraction method comprises the following steps: acquiring a document and inputting a large language model; and the large language model judges whether a table is included. And if the table is included, calling a table processing LoRA adapter to extract table content and convert the table content into pseudo natural language description, calling a text processing logic module to extract adjacent text contexts of the table, and then performing semantic integration to obtain first text information. And if the table is not included, calling a text processing module of the table processing LoRA adapter to extract the text content, and obtaining the first text information. And calling a key information extraction LoRA adapter, and extracting the structured key value pair from the first text information to generate JSON data. And calling a nested structured generation module to convert the JSON data into a target sequence in a multi-layer nested JSON format.

A multi-channel ticket creation and service management system that includes: a graphical interface controller configured to provide a graphical user interface (GUI) accessible through a plurality of predefined Uniform Resource Locators (URLs), the GUI including interactive service request forms associated with a plurality of hierarchical service and subservice classifications; a form processing circuit operatively coupled to the graphical interface controller and configured to receive a selected service-subservice combination from a user and dynamically populate subsequent input fields based on a predefined service taxonomy, the input fields including contact information, email address, subject, location identifier, area of ​​responsibility field, and a description field; a rule execution logical processing unit coupled to the form processing circuitry, the rule execution logical processing unit configured to enable or disable one or more context-sensitive fields based on logical rules stored in a service-subservice dependency tree, the logical rules governing the enablement of date and time fields exclusively when the selected service is journalism and the selected subservice is newspaper reporting; an authentication mapping processor comprising a session parser and a user-to-department resolver, wherein the session parser is configured to extract user credentials and associated metadata from session cookies or authentication tokens, and the user-to-department resolver is configured to auto-populate an activity-driven scope field based on the extracted metadata and an organizational mapping scheme; and a validation and transmission control unit configured to check the completeness and data type conformity of all enabled fields, generate a structured ticket record, and transmit it to a central ticket management platform.

The invention discloses a complex table semantic understanding method and device based on a large language model, and the method comprises the steps: firstly carrying out the preprocessing of a document through a table detection model and a table structure recognition model, and extracting the structure information of a table in the document; secondly, reconstructing the structure of a complex table through a large language model, and constructing two tree structures according to row and column information; and on the basis, semantic translation is performed on the reconstructed table through a preset rule, and a sentence which most conforms to logic is screened out through a large language model, so that deep understanding and accurate expression of complex table contents are realized. The invention provides a new method for processing complex table semantics, the table processing efficiency and accuracy are improved, and valuable references are provided for practical application scenes such as data mining, information retrieval and intelligent questions and answers.

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 relates to the technical field of data analysis, and discloses a dialogue-based intelligent form distribution and data analysis system, which comprises a dialogue receiving unit, a form generation unit, a dialogue state tracking unit, a data distribution unit, a data analysis unit, a feedback optimization unit, an authority management unit and a multi-mode interaction unit. The dialogue receiving unit extracts user intentions and key entities, the form generation unit dynamically generates form templates according to the user intentions and key entities, the data distribution unit directionally distributes data, the data analysis unit mines data values, the feedback optimization unit optimizes the system according to analysis results, the authority management unit guarantees data safety, and the multi-mode interaction unit expands interaction modes. According to the method, intelligent form processing and data analysis are realized, the user experience and the working efficiency are improved, the potential value of the data is mined, and the safety and reliability of the data are ensured.

The invention relates to the technical field of traditional ceramic manufacturing, in particular to imitation handmade ceramic forming machining equipment and a machining method thereof.The imitation handmade ceramic forming machining equipment comprises a rack used for supporting all functional modules and providing a stable working platform; the forming unit is arranged on the rack and comprises a multi-degree-of-freedom mechanical arm, a hand-imitating tool head, a flexible pressurizing mechanism and a rotary driving assembly; the driving system provides power for the forming unit and the auxiliary device; the detection control module integrates a sensor group and a controller, the sensor group is used for monitoring pressure, displacement and visual information in the forming process in real time, and the controller is internally provided with a manual forming process database and feeds back closed-loop control forming parameters based on sensors; the auxiliary system comprises a blank pretreatment device, a mold system, a demolding mechanism and a cleaning device, is used for blank preparation, forming supporting, demolding assisting and post-treatment, and is suitable for efficient and high-precision mechanical implementation of traditional manual throwing, kneading molding, fettling and other processes.

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 relates to the technical field of wiring terminal forming processing, and particularly provides a wiring terminal forming processing control method and system, and the method comprises the following steps: collecting the original image information of a wiring terminal through at least two image collection assemblies; preprocessing the original image information of all the wiring terminals, and then analyzing and acquiring terminal pose information according to the original image information of all the wiring terminals; determining a target terminal image according to the terminal pose information, and then extracting terminal quality features according to the target terminal image; calculating an actual characteristic deviation value, and analyzing whether the quality of the wiring terminal is qualified or not according to the actual characteristic deviation value and a preset characteristic deviation value; when the quality of the wiring terminal is analyzed to be unqualified, adjusting processing parameters of wiring terminal forming processing equipment according to the actual characteristic deviation value; according to the method, accurate and reliable terminal quality information can be provided, and when the quality of the wiring terminal is unqualified, machining parameters of wiring terminal forming machining equipment can be adjusted in time.

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 discloses a table processing method and device, a medium, equipment and a product. The method comprises the steps of obtaining a table image of a first table; the table image is processed based on a first multi-modal big language model to obtain a first code, the first code is used for generating a second table corresponding to the first table, and the first multi-modal big language model is used for determining first table information of the first table according to the table image, the first code is generated according to the first table information, and the first table information comprises table structure information and / or cell content information of the first table; and generating the second table according to the first code. By adopting the scheme, the first code is output end to end according to the table image through the first multi-mode large language model, and the accuracy of table processing is 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 a table processing method and device, a storage medium, a program product and electronic equipment. Relates to the field of artificial intelligence. The method comprises the following steps: acquiring a plurality of newly added business tables in a target storage area; an adjacency matrix is constructed based on the incidence relation between the multiple service tables, elements in the adjacency matrix represent the incidence intensity between the two service tables, and the incidence intensity represents the probability value that the two service tables belong to the same user; the adjacency matrix and the multiple service tables are processed through a target recognition model, the probability value that each service table belongs to different users is obtained, and the target recognition model comprises a graph neural network and a table data representation learning model; and determining users associated with each service table according to the probability value that each service table belongs to different users. Through the method and the device, the problem of low recognition accuracy when the user associated with the service table is recognized in the related technology is solved.

The invention discloses a version controllable data set automatic evolution method based on a large language model, which mainly comprises a data crawling module, a data analysis module, a data annotation module and a task form processing module, and reduces the demand of manual intervention by introducing an automatic updating mechanism. Specifically, the multi-agent system can monitor version update of a third-party library in Python ecology and update a data set according to the latest library version. The automatic updating mechanism not only improves the maintenance efficiency of the data set, but also ensures the timeliness of the data set, and provides reliable technical support for the adaptability evaluation of the LLMs in a dynamic development environment.

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 present application proposes a method, device, equipment and medium for processing the shape of a package substrate, which relates to the technical field of substrate processing. The method obtains the milling life index of the milling cutter before processing to predict the degree of wear of the milling cutter, and determines the target compensation amount required for the milling cutter to perform milling processing on the substrate to be processed based on the milling life index and the milling compensation amount corresponding to different index ranges. The travel path of the milling cutter during substrate processing is determined based on the target size of the substrate to be processed and combined with the target compensation amount, so that the substrate size obtained after the milling cutter performs milling processing according to the travel path can have a small error with the target size. The present application flexibly adjusts the compensation amount during milling according to the wear of the milling cutter, flexibly adjusts the travel path of the milling cutter, reduces the deviation between the actual processing contour of the substrate and the target contour, and effectively solves the impact of milling cutter wear on substrate processing.

The embodiment of the invention provides a table processing method and device and a computer program product. The table processing method comprises the steps that in response to a trigger operation on a table conversion function, a first page is displayed, and the first page displays a first control corresponding to a table type and at least one sub-control associated with the first control; in response to a trigger operation on a scanning function, identifying a first object including table content on the first page based on a first sub-control corresponding to the table conversion function; and converting the first object to obtain a first table. According to the method and the device, a user does not need to search for an entrance to execute a corresponding function, table conversion can be quickly performed, switching of different table processing functions can be realized on the first page, the user does not need to return to a main page to re-enter, and the operation process is simplified.

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.