38 results about "Real time management" patented technology

The invention provides a digital enterprise management data storage method and system based on cloud computing, and the method comprises the steps: obtaining a real-time management data set in an enterprise data flow, generating a virtualized storage node, determining a target encrypted fragment index matched with the virtualized storage node according to a preset storage path optimization model, and storing the target encrypted fragment index into a database; based on a dynamic storage path corresponding to the target encrypted fragment index, segmenting the structured data block and the unstructured data block into encrypted data units distributed across regions, and mapping the encrypted data units to corresponding cloud storage partitions; dynamically distributing storage resources of the cloud storage partitions through a load balancing algorithm, and adjusting priority weights of dynamic storage paths according to real-time flow characteristics; and when an access request of the encrypted data unit is detected, redistributing the concurrent connection number of the cloud storage partitions. According to the method, the collaborative optimization problem of resource allocation and safety efficiency can be solved.

The invention relates to the technical field of business and financial management, in particular to a business and financial fusion analysis decision management system and method based on multi-modal AI, and the method comprises the steps: configuring deep learning and testing according to financial use and formation information, and obtaining a multi-source contact analysis record; according to the multi-source connection analysis record, feature line and non-feature line difference is configured, and a fusion decision result is obtained; according to the fusion decision result, configuring information-driven machine learning and clustering analysis to obtain a decision value decision record; configuring real-time information analysis according to the real-time decision plan to obtain a real-time financial analysis record; configuring flow analysis according to the real-time financial analysis record to obtain a flow decision result; and configuring real-time information flow analysis and personalized management according to a process decision result to obtain a real-time management result. According to the method, the capability of effectively integrating different information sources is achieved, and the real-time decision-making and long-term financial demand evaluation effects are good.

The invention relates to the technical field of commodity purchase-sale management, in particular to a commodity purchase-sale-stock real-time management system. The commodity purchase-sell-stock real-time management system is provided. According to the invention, the environment sensing module collects dynamic data during the business period in real time, including the real-time stock of commodities, the remaining time of the shelf life of the commodities, the passenger flow volume of nearly 10 minutes and the like, thereby effectively solving the problem that the data update of a traditional purchase-sales-stock system is lagged, ensuring the real-time accuracy of stock and price information, and improving the real-time performance of the purchase-sales-stock system. Meanwhile, whether the commodities need to be replenished or not is judged in real time through a dynamic analysis module according to a preset safety inventory threshold value, the safety replenishment amount is calculated, the risk of stockout or excessive accumulation is reduced, the inventory turnover rate is increased, a price reduction sales promotion instruction is automatically triggered through the dynamic analysis module according to the real-time risk value of the commodities and the preset threshold value, and the price reduction sales promotion efficiency is improved. The price is quickly refreshed by using the electronic price tag, and the freshness change of the short-term preserved commodity is responded in time, so that the high loss rate is reduced, and the shopping experience of customers is improved.

Methods and systems are provided for operating a persona-driven intelligence platform. Responsive to receiving inputs and / or instructions corresponding to a digital task, data records are retrieved from a database. The data records are clustered to generate a plurality of clusters of data records, based on a first set of attributes. A corresponding second set of attributes is obtained for each of the plurality of clusters, and a corresponding personality score vector is generated for each of the plurality of clusters, based on the second set of attributes. A dynamic persona corresponding to at least one of the plurality of clusters is generated by one or more large language model (LLM) agents and stored in a persona library. The disclosed methods and systems may enable improved real-time management of audience-driven digital workflows by automating unique persona generation, for enabling the optimization of digital tasks and data workflows to maximize relevancy.

The invention discloses an Internet-based intelligent human resource management method and system, and relates to the technical field of intelligent human resource management, and the system comprises an automatic recruitment subsystem, a performance management subsystem, an employee service management platform, an intelligent optimization adjustment module, and a personnel data management module. The automatic recruitment subsystem is used for selecting and collecting data information of applicants meeting company post requirements, screening the data information and then automatically arranging interviews, inputting the applicants according to interview results, and arranging corresponding skill training according to personal skill information of the applicants. According to the intelligent human resource management system, datamation and intelligentization of various businesses of human resource management are realized, the operation process is simplified, and the management efficiency is improved; through real-time management of employee information, the employee condition can be mastered more accurately, human resources are reasonably allocated, the overall competitiveness of an enterprise is improved, the diversified requirements of modern enterprises in the aspect of human resource management are met, and the management efficiency and the decision quality are improved.

Disclosed are computerized systems and methods for a highly scalable, cloud-based AI / ML execution platform. The disclosed systems and methods provide a computerized framework that can generate and execute AI / ML models that provide agile, real-time predictions that can facilitate, cause and / or provide instructions for high-fidelity, real-time management of a multitude of cloud-based WiFi network locations, inclusive of the access points and / or user equipment operating therefrom / therein. The framework can cause a ML model to be trained that is then executed to generate a location-specific AI model that can then be executed to predict how a network can and / or should be configured based on current characteristics at the location, which can then be managed and put into place on at the location via the framework.

The invention relates to the technical field of data analysis, and provides a user data real-time management method and system for an intelligent wearable device, and the method achieves the refined processing of amusement park equipment data through obtaining amusement park equipment sensing and monitoring data streams and screening out key sensing and monitoring data streams from the amusement park equipment sensing and monitoring data streams. The amusement park equipment trend vector flow and the key trend vector flow are respectively obtained through two branches of the amusement park equipment data disaster recovery algorithm, the change trend of the amusement park equipment data is comprehensively analyzed, and the dynamic state of the key data is focused, so that the amusement park equipment data disaster recovery algorithm can be obtained through the data disaster recovery voting branches according to the trend vector flows. According to the method, the stability and reliability of amusement park equipment sensing monitoring data flow are intelligently judged, and a real-time disaster recovery strategy is determined accordingly, so that the accuracy of amusement park equipment monitoring data and the robustness of the system are greatly improved, and the continuity and integrity of the data can be ensured even in the face of data transmission problems or equipment faults.

The application provides a kind of digital enterprise management data storage method and system based on cloud computing, method includes: obtaining real-time management data set in enterprise data stream, generating virtualization storage node, according to the preset storage path optimization model, determine the target encryption fragment index matched with virtualization storage node, based on the dynamic storage path corresponding to target encryption fragment index, structured data block and unstructured data block are segmented into cross-regional distribution encryption data unit, and encryption data unit is mapped to corresponding cloud storage partition;Through load balancing algorithm, the storage resource of cloud storage partition is dynamically allocated, and the priority weight of dynamic storage path is adjusted according to real-time traffic characteristics;When detecting the access request of encryption data unit, the number of concurrent connections of cloud storage partition is re-allocated.The application can solve the method of collaborative optimization problem of resource allocation and security efficiency.

The invention relates to the technical field of marketing monitoring, and particularly discloses a live broadcast e-commerce supply chain information monitoring method and platform, and the method comprises the steps: obtaining a monitoring port set of a live broadcast e-commerce supply chain, and collecting the real-time monitoring data of the live broadcast e-commerce supply chain in real time based on the monitoring port set, determining historical product live broadcast data, product prediction reference data and product presale data of each sales product in a sales product set of each live broadcast in the real-time live broadcast sales data in the real-time monitoring data; and determining real-time management data. According to the invention, collaborative acquisition and integration of full-link multi-port data can be realized, a precise association system of real-time data and historical data is established, scientificity and foresight of supply chain demand prediction are improved, targeted product presale data and real-time management data are generated, risks of inventory overstock, goods shortage and logistics mismatching are effectively reduced, and the system is suitable for large-scale popularization and application. The overall operation refinement level is improved, and the market competitiveness and the anti-risk capability of the live broadcast e-commerce supply chain are enhanced.

Embodiments of the present disclosure enable system(s) and method(s) for creating and deploying an electronic skill-based activity, including implementing a matchup tool to determine a projected performance score for participants in real-world events based at least in part on historical performance data of each participant. The matchup tool creates suggested matchups for inclusion in a skill-based game by selecting, for each suggested matchup, at least two components, formed from one or more participants, expected to produce substantially similar scores in the skill-based game based on the projected performance score of each participant. The matchup tool renders for display to a game operator the suggested matchups to enable the game operator to interactively select suggested matchups for inclusion within the skill-based game. The matchup tool transmits the selected matchup to presentation devices of users to enable the users to interactively select components as predicted winning components of the skill-based game.

The invention provides an agricultural machine group collaborative operation task scheduling system, which is based on a server-client communication architecture and mainly comprises a task scheduling server, a far-end management and control platform and an agricultural machine vehicle-mounted terminal. Wherein the task scheduling server is responsible for data transfer between the far-end management and control platform and the plurality of agricultural machine vehicle-mounted terminals, and the far-end management and control platform is responsible for displaying and managing operation states and vehicle real-time information uploaded by the agricultural machine vehicle-mounted terminals through the server. And the operation tasks of the management personnel are issued to the agricultural machinery vehicle-mounted terminal through the server, so that the distribution and real-time management of the operation tasks are realized, and the agricultural machinery vehicle-mounted terminal is responsible for the functions of walking control, multi-machine real-time information interaction, state information uploading and the like of the operation agricultural machinery. Through the system, flexible building of the collaborative operation cluster can be realized, the completion quality of collaborative operation of the cluster is improved, the utilization rate of agricultural machinery in the collaborative operation cluster is improved, and the operation time is shortened.

The application belongs to the technical field of product data management, and particularly relates to a discrete data model extension processing system, method and platform. The discrete data model extension processing system comprises a source unit for providing a system basic service architecture; a context creation management unit for creating and managing system storage paths and domain positions; a life cycle template construction unit for constructing system business object state data blocks; and a type extension processing unit for real-time management of system business model types, attributes and binding extension processing model life cycles, team templates and storage positions. The application also relates to corresponding methods, platforms and storage media, and can quickly extend business data models and meet the data model extension processing of business requirements.

The embodiment of the invention discloses a module decoupling configuration method and device, equipment, a medium and a program product. Comprising the following steps: performing modular conversion on each second processing unit, and constructing an initialization software module corresponding to each second processing unit; according to each initialization software module, constructing a to-be-registered software module corresponding to each second processing unit; registering the selected to-be-registered software module in each to-be-registered software module into an online module set; wherein when the first processing unit is initialized, each software module to be registered is a selected software module to be registered; when the selected second processing unit accesses the embedded system, determining the to-be-registered software module corresponding to the selected second processing unit in the to-be-registered software modules as the selected to-be-registered software module; and managing and calling each registered software module in the online module set. Therefore, the software modules corresponding to the microcontrollers are mutually independent, and real-time management of the software modules is realized.

This invention belongs to the field of logistics supply chain management technology and discloses an artificial intelligence-based real-time logistics supply chain management system. It includes a mobile intelligent hardware terminal with a built-in YOLOv11 image recognition model, a self-learning module, and a navigation memory module, serving as the core data acquisition, analysis, and execution terminal; a cloud management platform for data storage, global management, and model optimization; and a mobile interactive terminal for user operation, information viewing, and early warning reception. This invention, utilizing the above system and relying on mobile intelligent hardware, combined with the YOLOv11 image recognition model and self-learning algorithm, achieves automatic quantity counting, real-time status monitoring, and early risk prediction throughout the entire process of loading, transportation, and unloading. It features convenient operation, flexible installation, information traceability, and reliable network security, fundamentally replacing core manual operations, solving existing technical pain points, and improving the intelligence level of logistics supply chain management.

The application discloses a kind of distributed load aggregator real-time management methods considering carbon quota of demand side of distribution network, including the following steps: S1, constructing distributed load aggregator model;S2, constructing distribution system operator model, solving optimal power flow and corresponding node marginal price;S3, based on the optimal power flow obtained by solving, carbon emission calculation is carried out, and the carbon emission factor of each node of distribution system is obtained;S4, according to the interaction between the distributed load aggregator model and the distribution system operator model, form Markov decision process, and propose networked multi-agent safety reinforcement learning algorithm to solve the Markov decision process, to carry out demand management under the carbon emission quota constraint in distribution network.

The application discloses a front-end dynamic data permission binding and verification method and system and a readable storage medium. The method comprises the following steps: obtaining target data, wherein the target data is derived from front-end dynamic data; extracting a permission factor based on the target data to obtain a permission characteristic value; performing matching verification based on the permission characteristic value and a dynamic matching table to obtain a matching result; and outputting a verification result based on the matching result, wherein the verification result comprises unsuccessful verification, successful verification, illegal verification, code calling, calling error and illegal calling. The application reduces single-path network overhead through multiple dynamic judgments, reduces the problem of exceeding authority at the front-end level, avoids the shortcomings of complex code structure and difficult maintenance through code calling, optimizes the coupling problem of front-end permission and business logic code, improves the timeliness of permission binding and verification and the operability of dynamic management, and facilitates real-time management of users.

The invention discloses a synchronous distributed collaborative network heartbeat packet strength real-time management system and method. The system comprises a heterogeneous interconnection module, a stepping management module and a stepping period monitoring module. The heterogeneous interconnection module is used for receiving a scheduling frame during data downlink and sending the scheduling frame to the stepping management module and the stepping period monitoring module; the stepping information extraction module is used for receiving data frames, extracting stepping information and sending the stepping information to the stepping management module and the stepping period monitoring module; the stepping management module is used for analyzing the number of network stepping cycles and clearing a historical stepping offset value of a historical stepping cycle; the controller is also used for adjusting the current stepping offset value of the current stepping period according to the stepping information and the equipment timer; the step period monitoring module is used for adding one to the count when the scheduling frame is received each time; the counting is reset when the stepping information in the data frame is received; and when the count is greater than or equal to the preset timeout number, determining that the module sending the data is offline. The method can meet the requirements of a strong real-time and high-certainty system.

The invention relates to the field of network technologies and security technologies, in particular to a service execution method and device, computer equipment and a storage medium. The method comprises the following steps: under the condition of establishing netconf connection with a target device, if a service execution instruction of a to-be-processed service is received, judging whether the target device can execute the to-be-processed service according to a device configuration rule; under the condition that the target device can execute the to-be-processed service, the service execution instruction is forwarded to the target device, so that the target device performs service execution, it is ensured that on the premise that the target device does not need to perform operations such as restarting and operating system changing, it is ensured that quick rule configuration can be performed on each target device according to actual requirements, and the service execution efficiency is improved. The purpose of multi-dimensional real-time management of the target equipment is achieved.

Systems and methods are provided herein for real-time management and publication of offers, such as airline travel offers, where each offer is represented by a dynamic standard identification number (STIN), allowing traceability of product units represented by the STIN.

The invention discloses an intelligent power distribution network resource scheduling and real-time management method, relates to the technical field of power resource scheduling, and solves the problems that in power resource scheduling, power is difficult to adaptively schedule according to power utilization characteristics of a region, and the power utilization efficiency is low. And the technical problem that it is difficult to appropriately supply power to the region according to a dual power supply mode of power grid + energy storage is solved. The method comprises the following steps: dividing different time periods, and obtaining target data of each region and recorded data of an intelligent electric meter; based on the environment of the next time period, the number of holidays and festivals and the planned capacity of the factory, influence factors of resident, commercial and industrial electricity consumption are calculated respectively; combining with the characteristic electricity consumption of the intelligent electric meter, obtaining the predicted electricity consumption of the next time period through influence factor adjustment, and determining the power grid power supply quantity and the energy storage power supply strategy according to the predicted electricity consumption to realize dynamic electric power allocation; according to the method, the problems of inaccurate prediction and uneven resource allocation in traditional power dispatching can be solved, and the operation efficiency and stability of a power grid are improved.

A system and method for the real-time management of a device, and more particularly to the establishment and enforcement of policies or rules associated with the feature or functions that may be performed with the device, such as making and receiving calls, exchanging data, playing games and music, sending and receiving email, accessing web sites, and paying for goods and services. If a child or employee is using the device, there may be a need to regulate how that device can be used and to determine who will pay for what goods or services. In addition to providing all of the features associated with a device, service providers need to be able to establish and enforce rules (policies) regulating how and when that device can be used and who will pay for a good or service requested by the user of the device.

This application provides a network model management method applied to a first device. The method includes obtaining first information of a network model, determining second information based on the first information, and sending the first and second information to a second device. The first information describes the network model. The second information indicates a network analysis function, and the network analysis function is allowed to use the network model. The foregoing method is used, so that the second device can establish an association relationship between the network model and the network analysis function, to implement real-time management for the network model.

The invention discloses a resource management method and device, a storage medium and electronic equipment. The resource management method comprises the steps that the matching degree of permission data of a target object and registered permission data of the target object in a preset registration library is determined; under the condition of determining that the resource account of the target object exists in the resource management platform, determining basic resource data allowed to be called under the resource account according to the matching degree; determining a resource calling operation supported by the current resource account according to the basic resource data, and generating an operation page corresponding to the resource calling operation on a display interface associated with the resource management platform; under the condition that the target instruction issued by the target object for the operation page is received, the target service function of the operation page activated by the target instruction is determined, and use management is performed on the basic resource data of the target object based on the target service function, so that the problems that the user resource management function is single, variable user requirements cannot be met, and the user experience is improved are solved. And the real-time management efficiency is low.

We provide the system. [Solution] A means of receiving data in different formats and structuring it into a unified format, A means of managing and integrating structured device information in real time, A means of monitoring the device status and automatically generating maintenance notifications, A means of providing integrated device information via a user interface, A means to manage the lifecycle of devices, identify and delete information about unnecessary devices, A system that includes this.

The application discloses a kind of intelligent power distribution network resource scheduling and real-time management method, it is related to power resource scheduling technical field, it is difficult to adaptively dispatch power according to the power consumption characteristics of region in power resource scheduling, and it is difficult to supply power to region according to the technical problems of the double power supply mode of "power grid+energy storage" appropriately;The application obtains the target data of each region and the record data of intelligent electric meter by dividing different time periods;Based on the environment of next time period, holiday days and factory planned capacity, the influence factors of residential, commercial and industrial electricity are calculated respectively;Combined with the characteristic power consumption of intelligent electric meter, the expected power consumption of next time period is obtained by adjusting the influence factor, the power supply capacity of power grid and the energy storage power supply strategy are determined according to the expected power consumption, and dynamic power allocation is realized;The application can solve the problems of inaccurate prediction and uneven resource allocation in traditional power dispatching, and improve the efficiency and stability of power grid operation.

This invention discloses a unified access and real-time management method for multi-source heterogeneous access control devices and cards, belonging to the fields of access control and Internet of Things (IoT) technology. The real-time access gateway uses a lockless circular buffer queue to poll and receive raw access events reported by the devices. Simultaneously, a multimodal biometric feature acquisition unit is triggered at the identification station to acquire multi-view biometric samples such as iris, fingerprint, and face. These samples are associated with timestamps and card serial numbers. A multimodal feature fusion engine extracts feature vectors and matches them with registration templates. A dynamic permission topology graph is constructed by combining device health scores, generating permission decision metrics. Decision records are persisted to a database and audit logs through distributed transactions, and execution instructions are issued to the access control controller. This invention achieves unified access for multi-source heterogeneous devices, real-time fusion of multimodal credentials, and dynamic permission decision-making, significantly improving the compatibility, security, and intelligent management level of the access control system.

The invention provides a real-time account management system based on a twinborn algorithm and an accounting method, and relates to the technical field of accounting and the technical field of data processing.Based on the twinborn relation between accounts and account periods, account period terms agreed by a purchase and sale contract are automatically mapped into account states defined with'month 'as a time unit, and the account states are automatically mapped into account states; a dynamic association relationship among a customer (supplier) module, an account period module and an account state module is established, an overall concept of'dynamic data coupling-automatic state transition-real-time accounting entry 'among the modules is realized, accounting entry, accounting voucher and account table generation is driven in real time in the system, the right (obligation) state of an incoming and outgoing account is intuitively reflected in real time, and the account state of the incoming and outgoing account is displayed in real time. The system can receive (pay) money by means of an account; meanwhile, a predicted cash flow monthly report is compiled before 10 days per month, the reflection and supervision functions of accountants are guaranteed, enterprises actively drive the collection right and perform payment obligations on time, and the harmonious relation between enterprises is established.