23 results about "Real time management" patented technology

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.

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 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 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 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.

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 dike leakage real-time management system and method based on digital twinning, and relates to the field of dike leakage analys.The dike leakage real-time management system and method based on digital twinning can accurately simulate water flowing and soil stress states through a seepage-stress coupling numerical model constructed on the basis of a three-dimensional geometric model and a finite element method; accurate calculation of the critical hydraulic gradient and the safety coefficient is realized through a mapping model of dynamic parameter adjustment and historical data driving; through clustering analysis of historical data and a mapping model of the piping occurrence probability, the scientificity and reliability of risk assessment are further improved; the system adaptively adjusts a piping probability threshold value through coupling of real-time data and a mapping model, and sends maintenance instructions of different levels, so that conversion from passive monitoring to active early warning is realized; the safety management level of the dike project is obviously improved, and visual and clear decision support is provided for flood prevention management personnel.

The invention discloses a visual platform building method and system for electric power intelligent equipment management, and the method comprises the steps: carrying out the real-time management of the electric power intelligent equipment according to a real-time management demand instruction, sent by a user, of the electric power intelligent equipment; screening real-time key index data, corresponding to the real-time management demand instruction, of the electric power intelligent equipment from various real-time index data of the electric power intelligent equipment; judging whether an abnormal difference exists between the real-time key index data and the historical key index data or not; if an abnormal difference exists between the real-time key index data and the historical key index data, establishing a real-time visual platform corresponding to a real-time management demand instruction sent by a user for the electric power intelligent equipment based on the historical key index data; otherwise, a real-time visual platform corresponding to a real-time management demand instruction, sent by the user, of the electric power intelligent equipment is built. The method has the advantages that the interference of abnormal real-time power intelligent equipment index data on the establishment of a real-time visual platform is eliminated, and the like.

A real-time management system includes a processor to receive a schedule with tasks to be completed by a first associate at time intervals, a database with contact information for a device of the first associate and another device of a second associate having a managerial role with respect to the first associate, and a communications interface to initiate communications with the first device and the second device. The system initiates a first alert to the device of the first associate to notify the first associate of a task prior to an expiration of a time interval, determine completion / non-completion of the task, and based upon the completion / non-completion of the task by the first associate, initiate a second alert to the device of the second associate to inform the second associate of a status of the task. The real-time management system also includes a physical indicator of at least one task.