102 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 discloses an intelligent official document generation method based on a large model and a knowledge base, and relates to the technical field of automatic office. Comprising the steps of 1, automatically collecting data files, 2, carrying out large model training and optimization, and 3, constructing a knowledge base; step 4, intelligently generating an official document outline, step 5, intelligently generating an official document, and step 6, visually displaying the generated official document. A large model and knowledge base technology is utilized, various knowledge sources such as internal data, user accumulation data and external data are integrated, rich material and information support is provided, context continuity of articles is improved, specification of official documents and depth and breadth of content are enhanced, office automation level and efficiency are greatly improved, and the method is suitable for popularization and application. Good popularization and application values are realized.

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 relates to the technical field of natural language processing, in particular to an office automation industry text structured extraction method and system depending on a large model. Identifying a text type; key fields are extracted; a continuous learning mechanism; updating the system by the dynamic template; the text structured extraction method and system for the office automation industry depending on the large model have the beneficial effects that the time for manual reading and data entry is remarkably shortened through automatic type identification and structured extraction, so that the processing efficiency of text data in an enterprise office automation system is improved; the large model is used for deep learning and feature extraction, the system can more accurately identify text types and extract key fields, human errors are reduced, and the accuracy of text analysis is 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 invention relates to an intelligent robot system, in particular to an intelligent robot capable of adaptively replacing an actuator. The system is composed of an intelligent robot body, an intelligent control system and a plurality of modular actuators, the actuators can be flexibly switched according to task requirements, and various task operations are achieved. The robot body comprises a motion joint and an execution joint, the intelligent control system integrates a kinematics algorithm, an image sensing algorithm, a calculation processor and the like, and a proper actuator can be automatically recognized and replaced according to task requirements. The actuator module comprises an intelligent support (such as a mobile phone, a Pad and a reading support), an intelligent shooting joint, an intelligent lamp, an intelligent carving machine, an intelligent drill floor, an intelligent welding tool, an intelligent monitoring station, an intelligent live broadcast joint, a video conference joint, an automatic testing joint, a 3D printing joint, an intelligent screwdriver, an electron microscope and other execution joints. Through man-machine cooperation, in combination with a user instruction and a sensing system, the robot can select a proper actuator according to a task target, and position and autonomously complete replacement and installation of the actuator. The intelligent robot system has high flexibility, expansibility and automation level and can be widely applied to the fields of industrial production, household equipment, office automation and the like, and the task execution efficiency and the intelligent degree are remarkably improved.

The invention belongs to the technical field of office automation, and discloses an intelligent office process automation service system and method based on reinforcement learning, and the system comprises a data obtaining module which is used for obtaining office process structure data; the data processing module is used for preprocessing the office process structure data to obtain an office interaction feature data set; the task time evaluation module is used for training according to the office interaction feature data set to obtain a task allocation matching degree prediction model, and predicting an office task allocation matching degree based on the task allocation matching degree prediction model; the work intelligent distribution module is used for performing task distribution on the employees by utilizing an intelligent distribution algorithm according to the predicted office task distribution matching degree; the feedback early warning adjustment module is used for establishing a feedback channel, acquiring the work feedback rate of the employees in real time, and judging whether adjustment early warning information needs to be generated or not according to the work feedback rate of the employees; the ability and task requirements of the employees are matched more reasonably, and the working efficiency is improved.

The invention discloses an office automation method based on visual arrangement and low-code development, which comprises the following steps: on the basis of an Activiti7 process engine, establishing a micro-service architecture and then generating a basic code and a database table, separating a process engine code from a business code, and embedding a BPMN process designer into a system framework; a business scene entity is split and modeled, a dynamic form database table structure is designed according to the business scene entity, form parameters are dynamically read based on vue, and all pages are assembled. According to the method, a micro-service architecture is established to generate a basic framework code and a database table, and a process engine code is separated from a service code, so that the expandability and efficiency of the system are improved; a BPMN process designer is embedded into a system framework, a native framework is optimized, compatibility transformation is carried out, rich parameter configurations including variables, UEL expressions and the like are supported after transformation, the applicability of the system is improved, a front-end page is rendered after splicing, and code-free development of a dynamic form can be achieved.

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 invention discloses an automatic paper feeding mechanism for a duplicator, relates to the technical field of office automation, and aims to solve the technical problem that an existing duplicator is insufficient in adaptability to paper with uneven surfaces, the automatic paper feeding mechanism comprises a duplicator body, a paper feeding position is arranged on the duplicator body, and a supporting frame body is arranged on the back face of the duplicator body; a bearing and transferring assembly is arranged at the top end of a supporting frame body and located on one side of a paper feeding position, a shell assembly is arranged at the top end of the bearing and transferring assembly, a smoothing assembly is hoisted in the shell assembly, and a paper feeding assembly is arranged at the end, away from a copying machine body, of the bearing and transferring assembly. The paper in the paper box is sent out one by one, the roll shaft unit rolls the middle of the lower paper in the rolling process of the return stroke, so that the paper is flat, the copying quality and efficiency are improved, the user experience is enhanced, and the service life of the copying machine is prolonged.