14 results about "Collection management" patented technology

A system and method of property collection management and architecture that can organize patient data while maintaining context is presented. The present disclosure provides for a database system implementing a ‘Property Collection’ as a collection of ‘property name’ and ‘property value’ pairs, which are used to describe a ‘data entity.’ Further, the present disclosure can provide for historical access to data to track data changes. The present disclosure solves the technological problem of accessing data having differing data for the same person. The immutable electronic health record data storage system solves the aforementioned technological problem by providing a blockchain, transaction blockchain API, serialization module, and a deserialization module, among others that can format, process, and store data in a Global Patient Record (GPR).

The application relates to the technical field of data processing, and discloses a container log collection management method, device and equipment and a storage medium. The method comprises the following steps: determining container log data according to a log path of a container, collecting logs of the container according to the container log data, and obtaining original container logs; performing desensitization processing on the original container logs to obtain initial log data; generating target log data according to the initial log data and a log configuration file corresponding to the initial log data; storing the target log data into a message middleware, classifying the target log data, and obtaining container logs of different types; and calling a log storage request according to the container logs of different types, and writing log information in the log storage request into a corresponding preset log file. The application supports container-based collection and satisfies different collection modes, reduces the complexity of log query, and reduces the operation and maintenance threshold.

The present application relates to the field of information collection management, and more particularly, to a method for managing an information collection operation of a terminal. The method comprises: obtaining a request of a service on the terminal for the information collection operation; determining whether the information collection operation is executable based on a rule in a rule base related to the information collection operation; in response to determining that the information collection operation is not executable, preventing the information collection operation, and returning a null value to the service; and recording the prevention of the information collection operation, and generating an interception log.

This invention discloses a closed-loop management method for the entire process of sales collection and delivery in enterprises, belonging to the field of enterprise management and intelligent manufacturing technology. This method achieves integrated closed-loop management from sales collection entry, modification, deletion, cross-contract amount adjustment, financial audit, and audit cancellation, to delivery process status control, permission verification, automatic data calculation, and full-process operation tracking. The system solves the pain points of traditional enterprises, such as chaotic collection, difficult reconciliation, cumbersome auditing, inaccurate balances, unclear permissions, and untraceable data, through front-end automatic verification, batch auditing, automatic contract balance calculation, synchronous account balance updates, hierarchical control of operation permissions, and data security and traceability. It achieves automated, standardized, and regulated management of the entire financial, sales, and delivery process, with strong versatility, high stability, and adaptability to sales and collection management scenarios across all industries. This invention has been fully implemented in a real industrial ERP system and can run stably in a real production environment for a long time, possessing mature engineering value and industrial promotion capabilities.

To provide a system for accurately grasping the trend of a sneaker market and utilizing it for investment and collection management.SOLUTION: The system includes a market analyzer, a trend predictor, a price estimator, an investment adviser, a portfolio manager, an advice provider, and a notifier. The market analysis unit analyzes the trend of the sneaker market. The trend prediction unit predicts that a specific model or brand will increase in the future based on the trend of the sneaker market. The price estimator evaluates the current market value of the sneaker. The investment advice unit proposes a buying time and a selling time to the investor. The portfolio manager uses the generated AI to track the collector's sneaker collection and manage the value of the entire portfolio. The advice providing unit stores information on the sneaker collection and provides advice on sale or storage. The notification unit provides information according to the user's interest.SELECTED DRAWING: Figure 1

The application discloses a kind of execution clue recommendation method and system for whole cycle clean collection management, the method includes: obtaining the multi-source data of the person executed, pre-processing obtains candidate clue set;Based on the preset prediction model, predict the feasibility score corresponding to the structured feature in the candidate clue set;Based on the preset inference model, determine the execution condition of the unstructured feature in the candidate clue set;Based on the preset case retrieval mechanism, according to the feasibility score and execution condition, determine the target recommended clue in the candidate clue set.It can be seen that the present application can realize the execution clue recommendation of high utilization rate in whole cycle clean collection management.

To provide a collection management system capable of properly collect tableware on a table.SOLUTION: A collection management system comprises a table state information acquisition unit which acquires table state information representing the state of a free space on a table that customers use; an order state information acquisition unit which acquires order state information representing a provision state of ordered dishes on the table; and a collection direction unit which directs tableware on the table to be collected by a mobile body based upon the table state information and the order state information.SELECTED DRAWING: Figure 1

The application discloses an edge computing gateway device with clock synchronization calibration function, comprising a SCADA application management module, a collection management module, a calculation management module and a storage management module, wherein the SCADA application management module is electrically connected with the collection management module; when different gateway devices are connected, if the gateway devices have the ability to communicate with a third-party system through a webAPI interface, the SCADA application management module can be directly connected with the edge computing gateway device of the application, and the NTP clock obtained through the network can be used for clock synchronization calibration of multiple devices; if the gateway devices do not have the ability to communicate with the third-party system, the communication ability of the webAPI interface can be realized by using an additional debugging plug-in unit in the SCADA application management module, so that the clock synchronization calibration function of the edge computing gateway device is realized, the data collection timing between different gateway devices is consistent, and the process error caused by the interlocking control of the devices is reduced.

This invention provides a cloud-edge collaborative data collection and management method and system for smart campuses. It collects multi-source heterogeneous data from various scenarios within a smart campus, performs adaptive preprocessing and hierarchical transmission of the collected data at the edge, dynamically schedules cloud-edge collaborative tasks based on a digital twin virtual campus model, and employs a federated learning mechanism to perform global intelligent analysis while protecting data privacy. This generates early warning signals for the smart campus's operational status and drives the digital twin model for visualization. This invention effectively solves the problems of high bandwidth pressure, high latency, high privacy and security risks, and low resource utilization inherent in traditional centralized data processing models for smart campuses, achieving efficient, secure, and intelligent data collection and management for smart campuses.

The application discloses a system index monitoring device, method, equipment and medium, the device includes main module, index collection management module and index export management module, the main module is used for responding to the received configuration file, instantiates index collection management module and index export management module, and registers index export component to index export management module;Index collection management module is used for initializing collection module and event-driven module, and loading multiple index collection components from index collector pool;Collection module is used for periodically waking up index collection component to execute index collection, and obtains first system index;Event-driven module is used for waking up target event associated index collection component to execute index collection when listening to target event, and obtains second system index;Index export management module is used for calling index export component to export first system index and / or second system index. Thus, the collection of system indexes is more flexible.

The application discloses an HMI information collection management method, device and equipment and a storage medium, the method obtains a dragging length after detecting that a dragging action of a progress bar control of an HMI display interface is released, determines the attention degree of current information according to the dragging length, acquires keywords of the current information, constructs a full list of all information and a target list corresponding to the current information according to the keywords, acquires the appearance frequency of each keyword in a collection folder of a current user and the time interval of each information from the current time, determines the collection search order of the target list in the collection folder according to the attention degree, the appearance frequency and the time interval, can reduce the time consumed when information collection search is browsed, accelerates the information search speed, improves the user experience, and improves the speed and efficiency of HMI information collection management.

The invention discloses an information acquisition and management method for a large-scale customized furniture manufacturing workshop, and relates to the technical field of furniture production, and the method comprises the following steps: S1, order acquisition: receiving user customized order data through an enterprise resource planning system, carrying out the field analysis, and then extracting the needed processing procedures and the execution sequence thereof; s2, a dynamic task model is generated, and based on the needed machining procedures and the execution sequence of the machining procedures, the task models are sequentially pushed to execution terminals of corresponding stations through a task model generation module according to the sequence of the machining procedures; by analyzing a customized order field and combining a preset process template and a rule engine, automatic construction of a personalized task model is realized, and the method adapts to multi-variety and small-batch customization scenes; abnormality is recognized through multi-source real-time data collection and model comparison, specifically, machining state data of all stations are collected, abnormality recognition is carried out in combination with a task model, multiple types of abnormalities such as process timeout, sequence hopping, equipment offline and data illegality are included, and closed-loop quality and process monitoring is achieved.

This invention discloses a method for intelligent collection, management, and noise reduction of network data security alarms. In the field of network data security technology, this invention solves the problem of heterogeneous alarm data aggregation. Through standardized management, it achieves unified collection of alarm data from security devices of different manufacturers and types, eliminating data format and semantic differences and laying a data foundation for subsequent analysis. This invention collects raw security alarm data from various heterogeneous network data security devices in real-time or near real-time through a preset adapter or API interface; it cleans and standardizes the collected raw alarm data, specifically including field mapping and normalization, format conversion, invalid data filtering, and basic field filling; and it extracts feature vectors from the standardized alarm events, including event content features, context features, correlation features, and device / rule features.

The invention belongs to the technical field of data management, and provides an electronic archive management method and system based on an information traceability mechanism, and the method comprises the steps: receiving a to-be-processed archive package which passes the four-property initial inspection and is sent by a service end; performing four-property recheck on the to-be-processed archiving package, and after the four-property recheck is passed, extracting metadata information and service association information in the to-be-processed archiving package; performing primary identification on the electronic file by using a first identification model obtained through supervised training to obtain a primary identification result; extracting a first target electronic file of which the confidence coefficient is lower than a preset confidence coefficient threshold value in the primary identification result, and performing secondary identification on the first target electronic file by utilizing a second identification model obtained through unsupervised training to obtain a secondary identification result; and determining the to-be-archived file passing the identification, generating a full file management directory, and cooperatively archiving the to-be-archived file and the full file management directory to form an electronic file. According to the scheme, the accuracy, safety and efficiency of the archive management link are improved.