84 results about "Office systems" patented technology

The invention provides a multi-mode interaction mobile terminal intelligent office system and method, and the method comprises the steps: collecting and converting a voice signal through a voice input module, so as to obtain standardized audio data; the speech recognition and transcription module converts and preliminarily processes the standardized audio data to obtain text data; the intention recognition module analyzes a user intention and a key entity in the text data based on a natural language processing technology to obtain an intention recognition result; the cue word template module matches the intention recognition result to a cue word template to generate a structured instruction; the dialogue module sends the structured instruction to the large language model and analyzes structured response data returned by the large language model; the system docking and function execution module calls a target office system interface according to the structured response data so as to execute mail sending, schedule management, document processing or leave application operation; and the output and function implementation module converts the text of the operation result into a voice signal or directly outputs the voice signal, so that the problem of low office efficiency of the mobile terminal is solved.

The invention relates to the technical field of information management systems, in particular to a full-process intelligent office system which comprises a data layer, an AI engine layer, a service engine layer, an application layer, an interface layer, a central data bus, a unified identity authentication center, a safety protection center, a system monitoring center, an intelligent workflow engine (1000), a real-time notification pushing mechanism and a multi-terminal adaptation framework. Data barriers of all departments of an enterprise are broken through through the AI technology, full-process data intercommunication is achieved, enterprise management forms a complete closed loop, and the management complexity and the information island problem are reduced; all functional modules are coordinated through a central AI agent, and data consistency and business process continuity are ensured. By realizing the full-process digital management of the enterprise, the system obviously improves the office efficiency of the enterprise, reduces the management cost, enhances the competitiveness of the enterprise, and is particularly suitable for the intelligent operation and management requirements of small and medium-sized enterprises and entrepreneurship teams.

The invention discloses a management service platform system based on big data. The management service platform system comprises a dynamic data lake construction module, a semantic map generation module, a self-adaptive label engine, a reinforcement learning push module and a closed-loop optimization center. The dynamic data lake module realizes hierarchical storage of multi-source heterogeneous data by calculating a data value coefficient; the semantic graph module constructs a multi-dimensional semantic network based on a knowledge graph and a BERT model, and excavates implicit topic association; the self-adaptive label engine dynamically generates and updates a user label by using a graph neural network and a time decay factor; the reinforcement learning pushing module is combined with a multi-arm machine model and an A / B test optimization pushing strategy; and the closed-loop optimization center realizes global model updating and system dynamic expansion through federated learning and a micro-service architecture. According to the method, the problems of data layering and stiffness, label generation staticization, strategy optimization lag and the like of a traditional central station system are solved, and a closed-loop system of data intelligent management, accurate service pushing and system self-adaptive optimization is realized.

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 discloses an office model training method, and relates to the technical field of office model training, and the method comprises the steps: pre-constructing a target output set which comprises the target reasoning output of a corresponding training sample instruction; and a plurality of preset reward factors are preset. When the office module outputs the current real reasoning output based on the multi-modal training sample instruction, whether the real reasoning output is matched with the target reasoning output or not can be analyzed, a preset reward factor matched with the matching result is selected from a plurality of preset reward factors to serve as a reward signal to iterate the office model, and the reward signal is used as a reward signal to iterate the office model. The process of strengthening fine adjustment on the office model is effectively simplified. The technical problems of poor semantic consistency and heavy office model training tasks are solved, and the technical effect of guaranteeing multi-modal semantic consistency while reducing the office model training burden is achieved.

The invention relates to the technical field of computers, and discloses a phishing mail attack identification method, device and equipment, a medium and a product. The method comprises the following steps: acquiring office system data, and screening out multiple pieces of target event data from the office system data based on a preset weak password feature; performing data structuring processing on the target event data to obtain a field value of each key feature field, and obtaining a high-risk account list according to the field value of each key feature field based on a preset abnormal behavior rule; obtaining mail system data, carrying out fishing behavior analysis according to the mail system data based on a preset fishing behavior rule, obtaining a candidate fishing mail account, and determining the candidate fishing mail account as a target fishing mail account when it is detected that the candidate fishing mail account exists in the high-risk account list, the recognition accuracy of the phishing mail attack can be improved, and the overall defense capability of the phishing mail attack can be improved.

The invention relates to the technical field of data processing, in particular to a distributed collaborative office system driven by an intelligent contract. Comprising a distributed account book module used for persistently storing key data of collaborative office and a smart contract state; the intelligent contract module is deployed on the distributed account book, comprises an intelligent contract of a plurality of precoding business logics and is used for automatically executing processing of a collaborative office task according to a preset rule; and the collaborative application module is used for enabling a user to interact with the intelligent contract layer, initiating collaborative office operation and feeding back an execution result of the intelligent contract to the user. According to the system and the method, the intelligent contract and the distributed account book technology are combined and applied, so that the transparency and the credibility of cooperative work can be remarkably enhanced, the data security and the non-tampering property are improved, and the automation level and the overall efficiency of a cooperative process are improved; and communication cost and potential disputes caused by information asymmetry and manual intervention are effectively reduced.

The augmented-reality automated allergy office method comprises initially delivering a trace amount of a first allergen to a first test site via a multiple test applicator as the multiple test applicator delivers a trace amount of a second allergen to a second test site during allergen deposition. The multiple test applicator is cooperatively engageable with a fluid tray during allergen loading and with the patient's skin during allergen deposition. Then, capturing a first image of the first and second test site using a smart phone or tablet computer. Subsequently, capturing a second image of the first and second test site within 15 to 20 minutes after allergen deposition. And finally, developing a computer-generated treatment plan using machine learning for the patient with an allergy condition that is a step-by-step procedure, the computer-generated treatment plan being stored in a medical database for treating patients with the allergy condition.

The invention relates to the technical field of information processing, and discloses a message processing method and device for an office system, equipment and a medium, which are used for ensuring the efficiency, security and confidentiality of information transmission of an internal OA system. When it is monitored that at least one to-do message exists in the message server cluster, obtaining target routing information and address port information of a target message server; the target message server is the message server with the minimum queue load value in the message server cluster; based on the target routing information and the address port information, obtaining a target to-be-handled message in the at least one to-be-handled message and a terminal identifier corresponding to the target to-be-handled message from a message queue of a target message server; determining a second terminal corresponding to the target to-be-handled message based on a terminal identifier corresponding to the target to-be-handled information; and sending the target to-be-handled message to the second terminal through the websocket service, so that the second terminal receives the target to-be-handled message and displays the target to-be-handled message on a display interface.

A mobile office system for providing a mobile office suite can include one or more computer monitors and appropriate electronics, cables, ports, and wiring housed in a protective case that is simple to pack and carry for travel. The protective case allows for easy set-up and portability, and may include retractable stands for positioning the monitors.

The invention relates to the technical field of energy consumption detection, and particularly discloses a building energy consumption management platform which comprises a server and a plurality of energy consumption metering devices, the energy consumption metering devices are used for collecting energy consumption data of all floors of a building and uploading the energy consumption data to the server, and the server comprises a device interface module used for receiving and storing the energy consumption data uploaded by the energy consumption metering devices; the OA interface module is used for being connected with an office system of an enterprise to which the current building belongs, and obtaining work information of enterprise employees corresponding to the current building from the office system; and the energy consumption analysis module is used for analyzing the energy consumption condition of each floor in different time periods according to the energy consumption data and the working information at each first preset time, and generating an energy consumption analysis result. By adopting the technical scheme of the invention, the energy consumption characteristics in different personnel activity scenes can be accurately identified.

The invention discloses a visual compiling system for cloud intelligent screen operation chain tracking, and relates to the technical field of intelligent office systems.The system comprises an operation chain logic modeling module, a visual interaction configuration module, a compiling deployment execution module, an abnormity intelligent diagnosis module and a repairing scheme closed-loop module. A structured logic graph is generated and converted into a visual flow chart, runnable codes are automatically generated and deployed, abnormity is accurately diagnosed, an adaptive repair scheme is generated, and whole-process closed-loop management is formed; according to the method, full-process automation from operation collection to code generation is realized by integrating an automatic process module, a structured graph is constructed by relying on a logic dependency algorithm, a configuration threshold is reduced by combining a visual interface, differentiation and offline deployment are supported, the development period is shortened, the maintainability is improved, and meanwhile, the development efficiency is improved. And an anomaly diagnosis and repair closed-loop mechanism accurately locates an anomaly root, a reliable repair scheme is generated, the manual troubleshooting cost is reduced, and the fault response efficiency is improved.

This invention relates to the field of data synchronization technology, specifically to a method, device, and storage medium for efficient data synchronization in an office system. The invention collects several changed fields and their attribute data, time-series data, and concurrent operation data of the current business process within the current synchronization cycle, as well as the data of the current business process itself. Based on the changed field attribute data and concurrent operation data, the business weight of each changed field in the current business process is obtained. Atomic synchronization units are constructed by analyzing the closeness of business linkage between each changed field and other changed fields. The exclusivity and overlap rate of atomic synchronization units containing the same changed fields are analyzed to select conflict-free synchronization units. Based on the numerical distribution of the changed field business weights within the conflict-free synchronization units and the timeliness characteristics of the time-series data, the priority scheduling coefficient of the conflict-free synchronization units is obtained. Combined with the basic risk characteristics in the changed field attribute data, this guides the orderly execution of the final update synchronization.

The invention provides an OA office system account authority management method, and relates to the technical field of account authority management, and the method comprises the steps: obtaining a role change approval process submitted by an office account in an OA office system in real time; determining role change information of the office account based on the role change approval process; under the condition that the role change approval process passes, the role permission of the office account is adjusted based on role change information and a pre-constructed role account permission mapping table, and the role account permission mapping table is used for representing the relation between the role and the role permission; the authority of the corresponding office account can be automatically adjusted according to the role change approval process of the OA office system, manual operation is not needed, and authority distribution is accurate.

The invention relates to a power enterprise intelligent office user preference tracking and personalized document generation method, and belongs to the field of natural language processing, and the method comprises the steps: obtaining user attribute data and user interaction data through a power enterprise intelligent office system; responding to an office task sent by the user front end, and retrieving a first context corresponding to the office task from the traditional text knowledge base and the RAG knowledge base; comparing the user identity of the user interaction data with the user identity of the office task through the user attribute data; according to the user interaction data with the same user identity, supplementing the first context to obtain a corresponding second context; and the document generation agent generates a target document corresponding to the user identity according to the second context and the office task. According to the method, information shielding caused by the fact that a large language model excessively depends on user preferences can be avoided, user data leakage between associated users is avoided, and user and enterprise data security is better protected.

The invention relates to the technical field of office data classification, and discloses an automatic office data classification method, which comprises the following steps: S1, firstly, receiving office data in various forms, S2, enabling a preprocessed document to enter a natural language processing model based on deep learning, S3, carrying out image content containing data, S4, carrying out classification on the image content containing the data in the classification process, and S5, carrying out classification on the image content containing the data. S5, classifying the data through a classification rule according to the operation habit and feedback of the user, S6, dynamically adjusting the classification rule according to the dimension information of the document, and S7, storing the document into a system and then docking with an office system. Different types of office documents can be quickly and accurately classified through preprocessing of the multi-modal data and semantic analysis of the deep learning model, and deep optimization can be performed through a self-supervised learning method regardless of text documents, image documents or table documents, so that the document classification accuracy and processing speed are remarkably improved.

With the rapid development of technologies such as the Internet of Things (IoT), smart devices, the Industrial Internet, and the Internet of Vehicles (IoV), various systems collect, process, and store massive amounts of data during operation, including sensitive information such as process parameters of industrial equipment, robot trajectories, location information of vehicle systems, indoor images of smart homes, and trade secrets of enterprise office systems. If this private information is not properly protected, it may lead to serious consequences such as the leakage of trade secrets, infringement of user privacy, and legal compliance risks. Existing technologies suffer from insufficient proactive identification capabilities, simplistic protection strategies, lack of adaptive learning, and disconnected auditing. This application provides a privacy data management method, system, and computer-readable storage medium, aiming to achieve proactive identification, hierarchical protection, adaptive optimization, and end-to-end auditing of privacy information in various types of data. It can be widely applied to various data processing scenarios such as industry, vehicles, homes, and enterprises.

The invention discloses a performance accounting system and method based on remote office, and belongs to the technical field of remote office systems. The system comprises five core modules: an intelligent work baseline setting module, a multi-dimensional output tracking module, a real-time cooperation value accounting module, an elastic performance calibration module, and a visual performance board and growth module. The functions of the modules are as follows: the intelligent working baseline setting module generates a dynamic performance baseline and provides an accounting basic target; the multi-dimensional output tracking module collects and quantifies employee output data and calculates an output efficiency index; the real-time collaboration value accounting module splits the collaboration chain value and calculates individual collaboration quality indexes; the elastic performance calibration module dynamically adjusts a calibration rule and outputs an environment correction coefficient; and the visual performance board and growth module records loop data, and outputs a final performance result and attribution analysis. The method has the advantages that closed-loop linkage of modules can be realized, dynamic threshold judgment is realized, and remote office scenes can be accurately adapted.

The invention provides a multi-system collaborative configuration method for an intelligent gas meter, which mainly updates the configuration data of the intelligent gas meter through a multi-system interaction mode, and realizes the approval of a data configuration request and the acquisition of target configuration data for the intelligent gas meter through an automatic office system. The configuration data of the gas meter is updated in time by matching with a manufacturing execution system, so that the data configuration efficiency of the intelligent gas meter is improved; the abnormal condition of the configuration result of the configuration data of the intelligent gas meter can be determined by comparing the actual working state data of the test system with the target working state data of the intelligent gas meter stored in the automatic office system, and the test system, the alarm system and the automatic office system can be matched to determine the abnormal condition of the configuration result of the configuration data of the intelligent gas meter; and the abnormal configuration event of the gas meter is recorded and alarmed, so that the intelligent gas meter is reconfigured to reduce the configuration failure rate.

Loss of connectivity between an AV with the back-office system may cause the vehicle to enter a degraded state, which may result in manual retrieval of the vehicle. The AV can maintain two redundant network data connections with two network operators using two dual-SIM, dual-standby network access devices. An algorithm can be implemented to select which two network operators to connect with using four different eSIMs. The algorithm can utilize locally measured network operator quality measurement data to make swapping decisions. The algorithm can utilize network operator connectivity quality information aggregated from network operator quality measurement data collected by many AVs.

The invention discloses a psychological account and management method based on positive psychology and economic efficiency fusion, and relates to the field of positive psychology, an account is connected to a multi-dimensional incentive integrated system, and the multi-dimensional incentive integrated system comprises a data acquisition and fusion module used for acquiring and processing multi-source data from an office system; the psychological account construction and management module is used for constructing three psychological sub-accounts of employee advantage effectiveness, heart stream immersion and organization affiliation, and calculating psychological energy values of the three psychological sub-accounts; the incentive strategy generation module is used for generating a dynamic incentive scheme according to a matching result of the psychological energy value and a preset rule, and the dynamic incentive scheme comprises instant forward incentive, task adjustment suggestion and team incentive; and an excitation execution and feedback closed loop module. According to the method, the psychological states of the employees are converted into quantifiable economic behavior indexes, quantitative management and dynamic excitation of the psychological states of the employees are achieved, and finally the dual value of organization economic efficiency and employee psychological capital is improved.

The application discloses a data center computing, network, security and desktop integrated system based on a unified virtualization base, and belongs to the technical field of digital integration. The application adopts super-integrated design, carries out unified resource pool management on computing, storage and network, supports elastic expansion, makes planning simpler, improves resource utilization and lowers overall cost. The application provides a virtualization security strategy, realizes fine isolation, full-flow visibility, and dynamic migration of the strategy with virtual machines, and solves the adaptation deficiency of a traditional security architecture in a virtualization scene. The desktop cloud has advantages of centralized control, high security, elastic supply and long-term cost optimization, and makes office systems and data management safer and more efficient. The technical architecture of the system is advanced, and has overall advantages in scalability, security, operation and maintenance efficiency and long-term input-output ratio.

The invention provides an intelligent OA office system and method, and relates to the technical field of OA examination and approval, and the method comprises the steps: obtaining examination and approval items in a to-be-examined and approved list, and obtaining the item information corresponding to the examination and approval items; determining the priority of the to-be-processed approval item based on the item information; and sorting the approval items in the to-be-approved list based on the priorities, the higher the priorities are, the higher the sorting of the approval items in the to-be-approved list is, and the higher the sorting of the approval items in the to-be-approved list is. The method can achieve the scientific and ordered processing sequence selection of an approver under the condition that a large number of approval items exist in the approval list, and improves the work efficiency.

The invention relates to the technical field of image communication, in particular to a data security storage method for an enterprise office system, which comprises the following steps: acquiring video continuous frame images; presetting initial double viewpoints and obtaining an intersection point plane; obtaining grouped pixel points of any pixel point in the image according to the double viewpoints and the intersection point plane, uniformly selecting a preset number of pixel points on the image, recording the pixel points as selected pixel points, obtaining a distance mean value between all the selected pixel points and the corresponding grouped pixel points, recording the double viewpoints when the distance mean value is maximum as the optimal double viewpoints, and recording the optimal double viewpoints when the distance mean value is maximum as the optimal double viewpoints. Obtaining final grouped pixel points of any pixel point according to the optimal double viewpoints; and traversing all the pixel points to obtain a plurality of pixel point sequences, encrypting the plurality of sequences to obtain a ciphertext and a key, and performing secure storage on the ciphertext and the key. According to the invention, a plurality of pixel point sequences are obtained from the video data in a data analysis mode, and the plurality of pixel point sequences are encrypted, so that the secure storage of the image data is improved.

This invention discloses a spatial planning collaborative management system based on multi-plan integration, belonging to the technical field of geographic information technology and collaborative office systems. The system includes a data acquisition module that receives and structurally stores user-submitted spatial planning scheme data and generates a process record package; a map construction module that constructs a version evolution map using the initial version of the spatial planning scheme data as the root node; an analysis module that responds to user version comparison commands, generates a thematic map of spatial differences in planning, and generates a comparison report of differences in planning text; and a backtracking module that, based on the thematic map of spatial differences in planning and the comparison report of differences in planning text, performs a reverse traversal along any target sub-version node in the version evolution map towards the root node, generating a complete traceability report. This invention, by automatically generating a traceability report containing a complete operational chain, provides a precise and reliable chain of evidence for clarifying the responsibility for each modification and the basis for decision-making.

The application discloses a file management method based on a cloud office system website plug-in, which comprises the following steps: a business initiator browser plug-in receives an uploaded file and uploads the file to a file management server; a file operation rule setting operation is received, and a rule description text is generated based on the file operation rule setting operation; the rule description text is sent to a business server; the business server analyzes the rule description text, determines corresponding permission control objects, generates corresponding permission data format files for each permission control object, and sends the corresponding permission data format files to each permission control object; a business filling party browser plug-in receives the file from the file management server and receives the corresponding permission data format files from the business server; a permission control command is used to control other areas outside the fillable area of the file; an input operation in the fillable area is received, and a stored file is sent to a file server.

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.

The invention belongs to the technical field of data processing, and particularly relates to a statistical report automatic data processing method which comprises the following steps: S1, a task engine: analyzing a user historical operation record through a manual or machine learning algorithm, and coding a table operation mode commonly used by a user; s2, a real-time monitoring and feedback mechanism: when the system executes an automatic task, when an exception is found, the system automatically pauses or reminds a user to intervene, so that the accuracy and the safety of data processing are ensured; and S3, expansibility and compatibility: the system supports mainstream spreadsheet software and form files in different formats, and provides an API interface at the same time, so that integration with other office systems is facilitated, and wider application scene coverage is realized. According to the method, the form task mode defined by the user can be automatically identified, and the repeated operation can be automatically executed or assisted to be efficiently completed by the user, so that the office efficiency is remarkably improved, human errors are reduced, and the employees can put more energy into more creative and decisive work.

The invention belongs to the field of office systems, particularly relates to a VBA technology-based power grid review business intelligent management system and equipment and a storage medium, and aims to solve the problems of complexity and low efficiency in the traditional manual management process. The tool is based on the Microsoft Office VBA programming technology, the system is mainly composed of an input end, a data processing module and an output end, the input end comprises a data year module, a work category module, a keyword module and the like, the data processing module conducts preprocessing and calculation, and the output end provides automatic management of review files and daily work related content. Through the digital and intelligent means, the technical innovation of the method is embodied in that the digital twinning technology of the review process is initiated, and the three stages of preparation before review, process control and tracking after review are converted into programmable logic; the efficiency and quality of review work are effectively improved, the problem of insufficient professionals is solved, and the management process of the power grid project is optimized.

1. Name of the product in this design: Graphical User Interface for Intelligent Office System for Electronic Devices. 2. Purpose of this design: For running programs and displaying information. 3. The key design features of this product are the graphical user interface content on the screen. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Application of graphical user interface: Used in smart home data integrated management and service systems. 7. Other situations requiring explanation are illustrated in the diagrams: Design 1's main view is the system PC login interface. Entering the username and password allows clicking "Login." Design 1's interface state change diagram 1 shows the main view login button displaying the overall functionality after login. Design 1's interface state change diagram 2 shows the display interface of the "Office Management" function on the left side of Design 1's interface state change diagram. Design 1's interface state change diagram 3 shows the display interface of the "Announcement Management" function in Design 2's interface state change diagram. Design 2's main view is the system PC login interface. Entering the username and password allows clicking "Login." Design 2's interface state change diagram 1 shows the main view login button displaying the overall functionality after login. Display interface; Design 2 interface change state diagram 2 is the display interface of the left function interface of Design 1 when clicking "Office Management"; Design 2 interface change state diagram 3 is the display interface of "Approval Management" of Design 2 interface change state diagram 2; Design 3 main view is the system PC login interface, after entering the account and password, you can click "Login", Design 3 interface change state diagram 1 is the main view login button display of the overall function after logging in; Design 3 interface change state diagram 2 is the display interface of the left function interface of Design 1 when clicking "Office Management"; Design 3 interface change state diagram 3 is the display interface of "Plan Management" of Design 2 interface change state diagram 2.