90 results about "Office automation" patented technology

The invention provides a task understanding and executing system based on a multi-mode intelligent agent, and relates to the field of artificial intelligence, man-machine interaction and automatic control. The system realizes semantic understanding, automatic disassembly, plug-in execution and execution result verification of user tasks through multi-modal input of voice, files, texts and the like, and performs memory and self-learning in combination with a knowledge base, so that a highly intelligent man-machine interaction mode is realized. The system can be widely applied to office automation, virtual assistants, software control, intelligent operation and maintenance and other scenes.

The invention provides a hierarchical table detection and recognition method and system, and the method comprises the steps: S1, analyzing and processing a table object, constructing a binary image, and obtaining the contour information of a cell; s2, according to the contour information of the cells, performing hierarchical division on the cell format to obtain a row unit set list; s3, according to the row unit set list, dividing a cell format through levels to obtain a column unit set list; and S4, performing hierarchical division on the column unit set list again, and forming a comprehensive list with a preset specification. The method can be applied to the fields of document image processing, intelligent office automation, information extraction and management and the like, is used for accurately detecting and identifying the table content in the document, and provides basic support for subsequent data processing and analysis.

The invention relates to the technical field of office automation, and discloses an official document exchange control method and system based on an OCR (Optical Character Recognition) key information algorithm, and the method comprises the following steps: obtaining the handwritten information of a paper official document, and scanning the paper official document through an OCR scanning device to obtain image data; carrying out image preprocessing on the acquired image data, wherein the image preprocessing comprises binarization, denoising and character tilt correction; identifying the image data by adopting an OCR (Optical Character Recognition) algorithm to obtain text data of the official document; extracting key information from the recognized text data, wherein the key information comprises a document issuing unit, a document issuing number and a document issuing date; and generating a uniquely identified bar code based on the extracted key information. The OCR scanning device and the combined model based on the convolutional neural network CNN and the recurrent neural network RNN are adopted for text recognition, and the technical effects of high-precision collection and automatic recognition of paper official document image data are achieved.

The invention relates to the field of office automation and time management, in particular to a basic level management system and method based on a block chain technology. The method comprises the following steps: automatically collecting basic management task data, and generating a hash value of a task; updating a task state based on the hash value of the task, and calculating a task priority score; carrying out resource allocation based on the task priority score; the task execution efficiency is dynamically adjusted based on the resource quantity obtained by the task, and the planned completion time of the task is dynamically adjusted; and dynamically adjusting a task state, resource allocation and approval circulation based on the corrected task plan completion time. The problems that a traditional management system is prone to being attacked and lacks traceability, task scheduling priority management is disordered, and resource allocation cannot be flexibly adjusted according to task states are solved; the task execution efficiency is low, and the overtime task influence is not reasonably modeled; approval circulation depends on manual auditing, performance appraisal is prone to human intervention, and the fairness and reliability of grassroots management are reduced.

The invention particularly relates to a Word document format conversion method based on Java. The Word document format conversion method based on Java comprises the following steps: analyzing the content of an original. Doc file, and extracting text paragraphs, tables, pictures, style information and document metadata; the extracted content is divided into different categories, and the XML node type corresponding to each category of elements in the target. Docx document is established; the method comprises the following steps of: constructing a pattern mapping rule base, constructing a new. Docx document structure by using an XWPF Document object model according to an Office Open XML (Extensible Markup Language) specification, sequentially inserting paragraphs, tables and pictures, and applying corresponding pattern configuration; and outputting and generating a. Docx file, detecting and processing abnormal conditions, and recording a conversion log at the same time. The Word document format conversion method based on Java is efficient and accurate, has good compatibility, expandability and cross-platform capability, is suitable for enterprise-level document management systems, cloud services and batch document processing scenes, and remarkably improves document compatibility and processing efficiency of office automation systems.

The invention relates to the technical field of office automation and business process intelligent supervision driven by big data, and discloses an office operation supervision method and system based on big data. The method comprises the following steps: firstly, extracting original logs containing an initiator, a receiver and timestamps from an approval system, checking one by one, de-duplicating and sorting according to time; counting flow times based on the ordered logs, and constructing an approval flow times matrix and a directed network; calculating the initiating and receiving quantity of each node, and screening actual participating nodes; calculating a flow imbalance index for each node, adaptively setting a threshold value according to a whole network average value and a standard deviation, and identifying abnormal nodes as bottleneck candidates; an adjacent matrix is constructed for the candidate nodes, connected clustering is carried out, and a structural bottleneck group is revealed; re-calculating the imbalance index according to an isochronous window in the whole monitoring period and counting the trend; and finally, combining the static unbalance degree and the dynamic change to generate a comprehensive score, and automatically outputting a structured monitoring report.

The invention relates to the technical field of office automation, in particular to an intelligent control method, device, equipment and system for automatic stamping, and aims to recognize and semantically analyze the recognized file content of a paper material through a multi-modal stamping feature recognition model, realize intelligent determination and calibration of a stamping position, improve the stamping accuracy and improve the stamping efficiency. The stamping method can adapt to different file formats and is flexible without presetting a fixed template, so that the applicability of the stamping method is improved; edge AI computing power is deployed in the stamping equipment, and a neural network processor is locally integrated, so that data processing localization is realized, data security is improved, data response delay in the stamping processing process is reduced, and network dependence is reduced; and based on local powerful computing power support of the stamping equipment, large-batch stamping processing can be achieved, the stamping efficiency is improved, and therefore the working efficiency is improved, and the human resource cost is reduced.

The invention discloses a digital security-oriented office system and method, and relates to the technical field of information security and office automation, the digital security-oriented office system comprises a sensing module, a decision module, an execution module, a tracking module and a closed loop module, the sensing module collects login information, performs multi-factor verification, generates security sensing data, and sends the security sensing data to the decision module; the decision-making module compares security perception data with historical login information, divides risk levels and generates an access control decision, the execution module constructs a virtual security sandbox or verifies an access request based on a zero trust principle and generates an authority white list and cooperation timeliness, and the tracking module records an operation behavior and a security log through a block chain. The closed-loop module monitors an office scene in real time and drives data updating and sandbox destroying. According to the method, the whole-process security control of the office scene is realized, the risk is accurately identified, the protection strategy is dynamically adjusted, the high security requirement of cross-organization and internal office is met, and a powerful guarantee is provided for the security of digital office data.

The invention relates to a multi-hospital-area manpower dynamic allocation decision support system based on a hierarchical response mechanism, which integrates hospital information system, electronic medical record and office automation data in real time through a multi-source data fusion module, and constructs a distributed data warehouse through standardized cleaning. During operation of the system, the data acquisition layer captures abnormal events of the courtyard area in real time, and drives the prediction engine to output early warning after cleaning and verification. And when the response threshold value is reached, the decision-making unit automatically matches the optimal scheduling scheme and synchronizes the task instruction through the mobile terminal. Full-chain tracking is implemented in the execution process, and the resource state is dynamically updated. And afterwards, multi-index scoring is carried out based on dimensions such as human efficiency and business load, strategy library iteration and model weight adjustment are driven, and a'monitoring-prediction-decision-execution-evaluation 'closed loop is formed. According to the invention, intelligent collaboration and elastic scheduling of human resources in multiple courtyards are realized, and the emergency scene response efficiency and the medical resource utilization rate are remarkably improved.

The invention belongs to the technical field of office automation, and discloses a mail security detection method and system based on frequency domain and semantic analysis, electronic equipment and a computer readable storage medium. The method comprises the following steps: obtaining a to-be-detected mail, and carrying out preprocessing operation on an image in an attachment of the to-be-detected mail; performing block operation on the preprocessed image, and then performing DCT (Discrete Cosine Transformation) on each block to generate a corresponding DCT coefficient matrix; according to the DCT coefficient matrix, respectively calculating a high-frequency component entropy # imgabs0 # corresponding to each block; determining a steganography suspicion detection result of the mail according to the # imgabs 1 # value; based on the steganography suspicion detection result, SMTP flow semantic analysis of the mail is triggered, and a comprehensive risk score # imgabs2 is obtained; and based on the comprehensive risk score # imgabs3 #, triggering a linkage mechanism of multi-level alarm. According to the invention, a data stealing protection effect with high detection rate, low delay and strong adaptability on the mail is realized, and a reliable technical guarantee is provided for enterprise-level network security.

The present application relates to the technical field of office automation, and more particularly to an intelligent control method, device, equipment and system for automatic stamping, which identifies and performs semantic analysis on the file content of the recognized paper materials through a multi-modal stamping feature recognition model, realizes intelligent determination and calibration of the stamping position, improves the stamping accuracy, and is flexible in adapting to different file formats and not requiring a preset fixed template, thereby improving the applicability of the stamping method; and by deploying edge AI computing power in the stamping device, integrating a local neural network processor, realizing data processing localization, improving data security, reducing data response delay in the stamping processing process, and reducing network dependency; and based on the strong local computing power support of the stamping device, a large number of stamping processes can be realized, the stamping efficiency is improved, and thus the work efficiency is improved and the human resource cost is reduced.

The invention relates to the technical field of office automation machinery control, and discloses a control method and device of an automatic stamping device capable of being expanded in a cascading mode, and a document is controlled to be conveyed in the automatic stamping device along a preset path; when it is detected that a document is transmitted to a document content identification and verification area of the automatic stamping device, whether the document is matched with pre-stored standard information or not is judged, and if yes, the document is stamped according to each identified pre-marked stamping area in the document and a corresponding cascade stamp in the automatic stamping device; stamping control parameters of each seal are generated so as to control the seal to execute corresponding stamping control operation; and after the seal control operation is executed, multi-dimensional seal quality analysis is executed on the document to judge whether the document meets a preset seal quality condition or not, and if yes, the document is transmitted to a document collection device. Therefore, the control flexibility of the automatic stamping device can be improved while the stamping efficiency is improved.

The invention relates to the technical field of office automation, and discloses a digital cooperative office method and system based on modular deployment and a storage medium, and the method comprises the steps: configuring a modular deployment strategy for an organization unit through an authority center, so as to define an available function module and manage an access authority; presenting a corresponding operation interface to the user terminal according to the strategy; when a user initiates cooperative operation related to office documents, calling a document management service to process all document requests in a centralized manner; and meanwhile, a service event is monitored through an event driving engine, and the event is automatically distributed to other functional modules for response and processing according to a predefined process arrangement rule, so that cross-module collaboration is realized. The system and the storage medium both correspond to the method. According to the method, the problems of system function stiffness, data isolation and flow splitting are solved, flexible configuration, unified management and automatic driving are realized, and the efficiency and the intelligent level of collaborative office are improved.

The invention relates to the technical field of office automation, in particular to a bid invitation file detection method and system based on a big language model, and the method comprises the steps: training a model based on training data to generate a big language model; obtaining a target bid invitation file, and analyzing the target bid invitation file into structured data; dividing the structured data into a plurality of text segments, establishing a mapping relation between each legal compliance detection point and each text segment, traversing all the detection points, calling the text segments corresponding to the detection points as input to judge whether the detection points exist in the text segments, and outputting a legal compliance detection result; clause contents with quantitative limitation characteristics in the bid inviting file are extracted, and a target enterprise knowledge graph is constructed to be compared with an enterprise knowledge graph database; and meanwhile, identifying whether the bid inviting file has tendency expression content or not, and outputting a fair competitive detection result. According to the method, the bid inviting file can be automatically and intelligently detected, the cost and time consumption of manual examination are greatly reduced, and meanwhile interference of human subjective factors is reduced as much as possible.

The present application relates to a multi-hospital area human resource dynamic allocation decision support system based on a hierarchical response mechanism, which integrates hospital information systems, electronic medical records and office automation data in real time through a multi-source data fusion module, and builds a distributed data warehouse after standardization cleaning. In the system operation, the data acquisition layer captures abnormal events in the hospital area in real time, and after cleaning and verification, drives the prediction engine to output early warning. When the response threshold is reached, the decision unit automatically matches the optimal scheduling scheme, and synchronizes the task instructions through the mobile terminal. The whole chain tracking is implemented in the execution process, and the resource state is dynamically updated. After the event, multi-index scoring is carried out based on human efficiency, business load and other dimensions, driving the strategy library iteration and model weight adjustment, forming a "monitoring-prediction-decision-execution-evaluation" closed loop. The present application realizes the intelligent cooperation and flexible scheduling of multi-hospital area human resources, and significantly improves the response efficiency in emergency scenarios and the utilization rate of medical resources.

The invention belongs to the technical field of image processing, and particularly discloses a subway security business approval method, system and device and a storage medium. Business process model matching and business process node judgment are carried out by obtaining business application data submitted by an applicant; and determining an OA docking approval mode, an OA docking data protocol and an OA docking execution condition according to the node information, generating an OA service data message, transmitting the OA service data message to an OA system end for approval to obtain a corresponding approval result, and then repeatedly executing service approval of a next node in this way until services corresponding to all nodes of the service process model are approved. The method can be applied to a corresponding subway security area platform to replace a traditional business approval mode of manually receiving and sending official documents and repeatedly inputting related application data, compatible connection and data circulation between the subway security area platform and an OA system are achieved, automatic process processing of official document approval operation is completed, and the service approval efficiency is improved. And the metro security business office examination and approval efficiency is improved.

The application provides a virtual interaction method, system, electronic device, storage medium and program product. The method comprises the following steps: obtaining virtual space access request information sent by a target user; determining a target virtual space in which a first virtual character image is located according to the virtual space access request information, wherein the first virtual character image is a virtual character image corresponding to the target user; receiving a first input, wherein the first input comprises an operation request for accessing an associated virtual space; in response to the first input, obtaining a target associated virtual space list according to the target virtual space; determining an associated virtual space to be interacted based on the target associated virtual space list, and constructing a virtual interaction scene between the first virtual character image and a second virtual character image, wherein the second virtual character image is a virtual character image in the associated virtual space to be interacted. The application realizes a virtual interaction process between different office automation systems.

1. The name of the design product: fan. 2. The use of the design product: the design product is used for computer systems, office automation, automatic control equipment, electronic instruments, electric welder and other occasions with power supply, for ventilation and heat dissipation. 3. The design points of the design product: in the overall shape. 4. The picture or photo that best shows the design points: perspective drawing.

The invention relates to the field of office automation, and particularly provides a contact service mass work information processing system and device, and the system comprises an information management module which is used for managing personnel basic information and residential area information; the question collection module is used for registering visit contents and collected questions and displaying the visit registration contents and the current states of the questions; the circulation processing module is used for realizing the whole process management of the problem from audit distribution to sign-in processing and result feedback; the query module is used for summarizing and displaying all problems and contact visit records and supporting query; the statistical analysis module is used for performing summarizing statistical analysis on system data; the opinion feedback module is used for the user to inquire the problem handling condition and perform satisfaction feedback; the basic support module is used for realizing login authentication, message sending and docking with other applications of the platform; and the system management module is used for managing user information and role authority. Compared with the prior art, the working information processing platform for the contact service masses has the advantages of comprehensive functions, closed flow, high efficiency and convenience.

The utility model discloses an automatic page turning and pressing structure and automatic printing equipment, and the structure comprises a rack which is provided with a conveying assembly for conveying an object to be printed; the page turning assembly is connected to the rack and located on one side of the conveying assembly, and the page turning assembly is used for driving the top page of the to-be-printed object to be turned over; and the book pressing assembly is connected to the rack, the book pressing assembly and the page turning assembly are located on the same side of the conveying assembly, the book pressing assembly comprises a supporting base, a first driving assembly and a book pressing block, the book pressing block is rotationally connected to the supporting base, the first driving assembly is connected with the book pressing block and drives the book pressing block to rotate, and after the top page of the to-be-printed object is turned over, the book pressing block tightly presses the to-be-printed object. According to the automatic document processing device and method, stable pressing and accurate page turning of the to-be-printed object such as a certificate are achieved, flatness and positioning of the certificate in the pressing process are ensured, the page turning assembly can stably turn over the top page without causing certificate offset, the efficiency and reliability of automatic document processing are remarkably improved, and the automatic document processing device and method are suitable for various office automation application scenes.

The invention provides a software configuration method and equipment for computers in a shared station and a storage medium, and relates to the technical field of office automation. Comprising the following steps that S1, a plurality of shared stations are provided, and each shared station is provided with a station number and a computer; s2, a user initiates an appointment request, wherein the appointment request comprises an appointment time period; s3, after receiving a reservation request, screening shared stations which are not reserved in the reservation time period and pushing the shared stations to the user; s4, the user selects one of the pushed shared stations; s5, determining demand software corresponding to the reservation request in combination with historical office information of the user; and S6, installing the demand software in the computer of the selected shared station to complete configuration. According to the method and the device, the software requirement of the user is configured in advance by the sharing station, so that the difficulty that the software needs to be automatically installed after the user sits on the sharing station is solved.

The invention discloses an office system application-oriented AI collaborative intelligent tool, which relates to the technical field of artificial intelligence and office automation, and comprises a task modeling module, a time distribution module, a task priority evaluation module, a task scheduling module, a task scheduling module and a task scheduling module, the time window allocation module is used for allocating time windows to multiple tasks according to the task priority evaluation model, the flow scheduling module is used for optimizing an office flow scheduling scheme based on the allocated time windows and resource occupation conditions, and the dynamic adjustment module is used for dynamically adjusting to-do lists of users and cooperative resource allocation according to the optimized scheduling scheme; according to the AI collaborative intelligent tool for the office system application, the multi-task collaborative efficiency and the user experience are remarkably improved.

To enable an OA equipment worker who is assigned a specific role to quickly grasp the attribute of a data file in light of a specific reference corresponding to the role.SOLUTION: The icon displaying device 100 includes (I) a storage section 4 that stores a file 3 containing attribution information 1 and two-dimension visual information 2 to be displayed on the monitoring device 101, (ii) an icon assignment section 8 that assigns, to the file 3, an icon 7 that partially or entirely has a pattern 6 (excluding the two-dimension visual information 2 itself and a pattern obtained by reducing the two-dimension visual information 2) corresponding to a text string 5 contained in the two-dimension visual information 2 in the file 3, and (iii) a display section 9 that displays the icon 7 assigned by the icon assignment section 8.SELECTED DRAWING: Figure 1

The embodiment of the invention discloses a project management digital management method, a project management digital management system, project management equipment and a practical training platform integrated with an Internet of Things operating system, and relates to the technical field of office automation or electric digital data processing. Basic configuration information in the project management information is screened out, an Internet of Things model in the basic configuration information is obtained, dynamic operation data of Internet of Things equipment is generated, real-time monitoring data in response to a project site is generated, a multi-source heterogeneous data set and a project monitoring data set are generated, and digital management is performed on the project according to the project monitoring data set. According to the embodiment of the invention, through screening of the basic configuration information and dynamic management of the Internet of Things equipment, resources can be reasonably allocated according to actual demands of the project, and based on semantic matching of the multi-source heterogeneous data set and the project document keyword, the generated project monitoring data set provides comprehensive and accurate data support for a project manager.

The present application discloses an intelligent collaborative office automation RPA system and a data interaction processing method, which belongs to the field of collaborative office. The present application sorts tasks based on task urgency and task matching degree. In terms of task scheduling and data interaction, the present application innovatively designs a task priority adjustment algorithm, intelligently optimizes the execution order according to the task data volume, task urgency and system load matching, and improves the office efficiency of the execution software. At the same time, when the present application judges the task urgency and system load matching, it evaluates similar tasks based on the historical task processing information of the execution software and the data information of the execution software accepting tasks, thereby accurately obtaining the task urgency and system load matching, further improving the office efficiency of the execution software.

The present disclosure relates to the technical field of electric power, and provides an electric power operation and maintenance supervision method and device, the method comprising: obtaining operation and maintenance work data related to operation and maintenance quality in electric power work through an RPA robot; analyzing the operation and maintenance work data according to preset supervision rules to obtain an analysis result, wherein the supervision rules comprise checking rules and calculation rules; and outputting the analysis result through the RPA robot. The present disclosure can realize all-round, full-process and full-automatic precise analysis of operation and maintenance quality based on RPA, realize intelligent management of operation and maintenance quality, reduce labor costs through office automation, reduce the burden of power grid grassroots staff, and improve the efficiency and accuracy of the supervision process; at the same time, errors in manual operation, such as data export errors and analysis and judgment errors, can be avoided, and the accuracy of operation and maintenance quality supervision is improved.

This invention relates to the field of OA (Office Automation) approval technology, specifically to a method and apparatus for pushing OA approvals to application software. The method includes: acquiring business data to be approved and generating a business model based on the business data; acquiring the dynamic configuration relationship between the application software and the business data; performing data transformation based on the dynamic configuration relationship and the business model to generate an OA approval corresponding to the application software; and pushing the OA approval to the corresponding application software. It is understood that this invention can obtain a dynamic configuration relationship based on the application software, and then dynamically transform the business data. In actual business approval integration, only the business data of the OA approval template needs to be provided, and then the OA approval can be pushed through the business data and the dynamic configuration relationship, avoiding repeated custom development and improving work efficiency.

The invention provides a software configuration system for computers in a shared station, and relates to the technical field of office automation. Comprising a plurality of shared stations, and each shared station is provided with a station number and a computer; the cloud platform is used for recording the station number of the shared station and the reservation state of the shared station; the reservation unit is used for initiating a reservation request; the screening unit is used for screening the shared stations which are not reserved in the reservation time period after receiving the reservation request and pushing the shared stations to the user; the selection unit is used for a user to select one of the pushed shared stations; the demand determining unit is used for determining demand software corresponding to the reservation request in combination with historical office information of the user; and the installation unit is used for installing the demand software in the computer of the selected shared station to complete configuration. According to the method and the device, the software requirement of the user is configured in advance by the sharing station, so that the difficulty that the software needs to be automatically installed after the user sits on the sharing station is solved.

The invention provides an intelligent plug-in method and system based on a large language model, and relates to the technical field of office software automation, and the system comprises an interaction layer, an intelligent layer, a persistence layer and a security module; the interaction layer comprises a natural language input box, a code preview panel, a node library window and a workflow arrangement visual interface; the intelligent layer is used for processing natural language instructions, generating and executing codes and generating intelligent nodes; the persistent layer is used for storing data in the system operation process. Natural language interaction and a large language model are combined, on one hand, by means of natural language interaction, the office automation operation threshold is lowered, non-technical personnel can easily create an automation process, time and energy are saved, and office efficiency is improved; on the other hand, due to the design of the reusable intelligent nodes and the visual workflow arrangement engine, repeated development is reduced, the flexibility and universality of workflow construction are enhanced, and the automation level of office software is remarkably improved.

The invention belongs to the technical field of office automation systems, and discloses an OA approval document intelligent typesetting and optimized printing method based on a dynamic template engine. The method comprises the steps of template definition and storage, data binding and replacement, template generation and output, template management and expansion, task acceptance and analysis, task scheduling and optimization, resource allocation and monitoring, and printing path and output optimization. And fault detection and recovery. According to the method, the efficiency and quality of the approval process can be improved, a larger customization space is provided for organizations, and the method adapts to a quickly changing business environment.