12 results about "Element Management" patented technology

The invention discloses a water purifier filter element service life dynamic prediction system based on deep learning, and relates to the technical field of water purifier filter element prediction.The water purifier filter element service life dynamic prediction system is characterized in that Internet of Things monitoring equipment is installed in a water outlet area of a water purifier, and meanwhile water quality data is collected regularly based on the installed Internet of Things monitoring equipment; after collection is completed, regularly-collected water quality data are processed through a data processing method, meanwhile, analysis is conducted through a water quality analysis method based on the processed water quality data, and after analysis is completed, water flow flux data of a water outlet area of the water purifier at the corresponding moment are collected in real time; the method comprises the steps of analyzing water quality data of a water outlet area of a water purifier, estimating the water quality of the water outlet area of the water purifier in real time based on the analyzed water quality data, reversely predicting the overall service life of a filter element of the water purifier through a digital twinning method based on an estimation result, constructing water quality grade parameters after prediction is completed, and managing the filter element of the water purifier in real time based on the constructed water quality grade parameters. And the real-time performance of water purification filter element management prediction is improved.

The embodiment of the invention provides an automatic route planning method and device, equipment and a computer storage medium. According to the automatic route planning method provided by the embodiment of the invention, the source node, the destination node and the connection state information of the transmission network can be acquired, the dual-topology structure supporting path separation can be constructed, and the first path and the second path can be planned respectively, so that a single path can be adjusted on the premise of not influencing the calculation environment of the other path, and the calculation efficiency is improved. And finally obtaining the path with the highest separability in the current network state. A white list is established, a dynamic shared path element management rule can be established, and the efficiency of iterative optimization is improved. After iterative adjustment, the first path and the second path are output as route planning results, the planning results are main and standby route planning results with the highest separability in the current network state, and when the main route is interrupted, if the standby route does not pass through the single-point fault, the risk of service interruption caused by the single-point fault can be remarkably reduced.

The invention discloses a network data packet intelligent analysis method based on man-machine cooperation and analysis element driving, and belongs to the technical field of computer network data processing. Comprising six steps of data uploading and initialization analysis, automatic analysis element carding and construction, manual analysis element mining, analysis element management, context fusion and correlation analysis, analysis element precipitation and report generation. The method can improve the analysis accuracy and credibility through man-machine cooperation in combination with the automation capability of the AI and the experience of a human analyst, allows the dynamic adjustment of the analysis direction through the fusion of analysis elements and contexts, and can enable a user to manually intervene and switch the analysis direction, ensure the analysis progress and avoid the AI stiffness when the AI is caught in the stiffness bureau, thereby improving the user experience. The method supports a complex investigation scene, analyzes the complex characteristics of the element adjacency relation adapting to network evidence obtaining, and facilitates reproduction of a multi-stage attack chain.

The invention discloses a visual prompt element display method and device based on configuration and a storage medium, and relates to the technical field of data processing. According to the method, when a current interface is displayed, a first element component associated with a first control on the current interface is activated; after the first element component calls a first interface of the element management class, child nodes of visual prompt elements corresponding to the first control are inquired in a recursive mode through the first interface, and the child nodes are visual prompt elements corresponding to other controls associated with the first control in all layers of sub-interfaces of the current interface; and if the target state of the child node of the visual prompt element corresponding to any first control is display, the visual prompt element corresponding to the first control is displayed on the current interface, so that the computational logic complexity of the visual prompt element on the outer layer in the process of outward transparent transmission of the visual prompt elements layer by layer is reduced.

The invention discloses a lexical element management method for a large language model, electronic equipment and a medium, and the method comprises the steps: calculating the loss corresponding to each lexical element in an input sequence in a large language model training stage, and obtaining a first loss sequence; smoothing the first loss sequence to obtain a second loss sequence; sorting loss values in the second loss sequence, and screening current candidate abnormal lexical elements; combining the current candidate abnormal lexical elements with a global abnormal lexical element pool corresponding to the previous training round, and cutting according to a pool size threshold value to obtain a global abnormal lexical element pool corresponding to the current training round; in the reasoning stage of the large language model, judging whether the candidate lexical elements are abnormal lexical elements or not according to the global abnormal lexical element pool; when an abnormal lexical element is detected, generating a plurality of candidate output sequences by taking the abnormal lexical element as a node, and calculating the average uncertainty of each candidate output sequence; and selecting the path with the minimum average uncertainty so as to obtain an output sequence.

According to the present disclosure, there is provided a method comprising: sending, by a network management function in a first layer of a hierarchical management system of a communication network, a message to an element management function in a second layer of the hierarchical management system, the message comprising information of a configuration management change to be implemented, the message further comprising a target field; and populating the target field with information indicating whether the information configuring the management change will be propagated from the element management function to a management function for the network element, wherein the management function for the network element is located in a third layer of the hierarchical management system.

This application relates to a method, apparatus, electronic device, and storage medium for managing network elements in a local area network (LAN). The method is applied to control devices within a LAN, which includes multiple network elements. The method includes: acquiring network element resource information and communication information corresponding to each of the multiple network elements; extracting features from the network element resource information of each network element to obtain resource features corresponding to each network element; generating a target feature matrix for the LAN based on the resource features of each network element; generating a target adjacency matrix for the LAN based on the communication information of each of the multiple network elements; generating a resource matrix for the LAN based on a graph convolutional neural network, using the target feature matrix and the target adjacency matrix; and managing the traffic corresponding to each network element based on the resource matrix. This LAN network element management method, apparatus, control device, and storage medium improve the intelligence level of network element management.

This invention relates to the field of automotive crash safety test management technology, and more particularly to a digital and intelligent full-process management system for crash safety laboratories. The system comprises a perception layer, a transmission layer, a core service layer, and an application layer. The perception layer collects sample, asset, and test information and presets constraints and filling rules. The transmission layer pushes data in real time. The core service layer achieves full-element management of tests, samples, assets, calibration, and data through five modules, integrating three types of intelligent models to realize intelligent asset scheduling, inventory early warning, and equipment maintenance. The application layer mines data value based on a joint probability density AI model, providing support for R&D decisions and design. This invention solves the problems of information silos, process disconnects, low data flow and application rates, and lack of full-process data quality control in traditional laboratory management, resulting in low laboratory management efficiency.

1. The name of the design product: natural gas pipeline inspection display graphical user interface of electronic equipment. 2. The use of the design product: for electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for natural gas pipeline inspection business management, display and related dynamic browsing. 6. The change state description of the graphical user interface: click "login" in the front view after entering the account information to display change state figure 1, click part A in change state figure 1 to display change state figure 2, click the "measurement surface" icon in change state figure 2 to display change state figure 3, click the "base map" icon in change state figure 3 to display change state figure 4, click the three horizontal line icon in the upper left corner of the interface in change state figure 4 to display change state figure 5, click "element management" in change state figure 5 to display change state figure 6, click any pipe network title in change state figure 6 to view details, and display change state figure 7. 7. Other circumstances that need to be explained: the single color block coating area in the view is the content picture, and X represents replaceable text.

A Internet of things (IoT) network (PIN) element is configured to receive, from a PIN element management capability (PEMC) device, an announcement comprising a PIN identifier, a list of services available via the PIN and a time limit for responding to the announcement, send, to the PEMC in response to the announcement, a PIN join request comprising one or more services provided by the PIN element and receive, from the PEMC in response to the PIN join request, a PIN join accept message comprising a PIN Element Identifier assigned to the PIN element.

According to the page viewport element rolling method and device, the storage medium and the computer equipment provided by the invention, when the front-end page is displayed, the viewport container in the front-end page is firstly identified and is subjected to dynamic pattern injection to form the rolling container, so that a clear and standard action range is provided for subsequent rolling operation and element management; and then dividing a rolling container area into a visible area, a buffer loading area and a depth out-of-screen area so as to carry out differentiation processing on elements of different areas. For example, elements in the visible area are fully rendered so as to be presented in an optimal state; pre-loading the elements in the buffer loading area so as to reduce the waiting time when the elements are completely rendered; and setting element snapshots and size placeholders for the elements in the deep out-of-screen area to maintain the overall layout stability of the page. Therefore, when a user carries out the rolling operation on the visible area, the rendering states of the elements in all the areas can be dynamically switched based on the rolling operation, and self-adaptive rolling optimization is achieved.

The application discloses a medical data governance rule configuration method and device, relates to the field of medical data governance, and comprises the following steps: establishing a standardized data element set containing a business meaning identifier, presetting a standardized data element set containing a national health information standard data element identifier, forming a standardized data element level rule mapping library, establishing a dynamic ternary binding relationship, forming a ternary binding model of a physical field, a business data element and a check rule, constructing a scene-based rule inheritance tree, implementing differentiated rule rewriting, and generating a runtime rule set. The device comprises a data element management module, a ternary mapping engine, a scene tree manager, a differentiated configuration editor and a rule compiling module. The application can improve the configuration efficiency in medical data governance through metadata mediation, realize unified modification, and complete the rapid autonomous update of a database.