1241 results about "Centralized management" patented technology

The invention discloses a self-adaptive cloud management platform system based on intelligent resource scheduling and container arrangement, and relates to the field of computer information management. The system comprises a refined resource scheduling and adaptive optimization module, a containerized application life cycle management and dynamic container arrangement module, a high-precision operation and maintenance monitoring and self-healing mechanism module based on big data analysis, and a dynamic resource allocation and elastic scaling strategy module of an intelligent scheduling engine. The system takes a containerization technology as a core, realizes centralized management and monitoring of cloud computing resources, can realize dynamic intelligent resource scheduling and optimization, accelerates application deployment, improves system flexibility, strengthens operation and maintenance monitoring and platform safety guarantee, and comprehensively improves resource optimization and cost effectiveness. The resource scheduling efficiency is improved, the application deployment is simplified, the operation and maintenance monitoring is enhanced, and efficient resource management is realized through an adaptive optimization technology.

The invention provides an information transmission device and implementation method based on multi-protocol dynamic conversion and data fusion, and belongs to the technical field of information transmission, and the device comprises a multi-protocol communication interface module, a data analysis unit, a dynamic protocol conversion engine, a data fusion unit, a data assembly reporting unit and a log storage module. According to the method, information transmission is realized by initializing an interface, analyzing multi-protocol original data, dynamically converting the multi-protocol original data into a uniform format, fusing de-duplicated data, packaging, reporting and recording logs. The device and the method solve information interaction obstacles of different protocol devices, support bidirectional conversion of multiple industrial protocols, realize cross-protocol device collaboration and centralized management, improve the system intelligence level, and are suitable for scenes requiring multi-device collaboration, such as electric power, intelligent transportation, intelligent buildings and the like.

A centrally managed system for tuning a plurality of enhanced node-based logistics receptacles includes a backend server, a first enhanced node-based logistics receptacles, and a second node-based logistics receptacles. The backend server transmits a first setup message to a first bridge node, transmits a second setup message to a second bridge node, receives retrieved first event information from the first bridge node and retrieved second event information from the second bridge node, compares the retrieved first event information with a management profile and compares the retrieved second event information with the management profile, revises the management profile based upon the comparison of the retrieved first event information with the management profile and the comparison of the retrieved second event information with the management profile, and transmits an adjustment message that is based upon the revised management profile to the first bridge node.

The invention provides a disease screening system based on a large model. The disease screening system is used for solving the technical problem that an existing disease screening system is intelligently used for single special disease screening. The system comprises a scheduling model and a plurality of AI auxiliary diagnosis models, the scheduling model is connected with the plurality of AI auxiliary diagnosis models, and the scheduling model is connected with a big data disease library. According to the method, a high-level scheduling model is utilized, multiple single AI auxiliary diagnosis models are managed in a centralized mode, automatic calling of a multi-disease AI system is achieved, automatic structured report generation is achieved through a large language model, historical medical history is combined, progress is predicted, treatment suggestions and reference cases are automatically given, an existing clinician film reading workflow is fitted, and the efficiency is improved. The whole process of actual diagnosis decision making of doctors is greatly fitted, and the working efficiency of the doctors can be improved to the maximum extent.

The invention discloses a virtual power plant optimization system and method, and the system comprises a virtualization platform module which is used for integrating distributed energy, energy storage equipment, an electric vehicle, a flexible load and other resources, and achieves the virtualization and centralized management of the resources; the dynamic resource aggregation module is used for dynamically matching resource characteristics with power system requirements; the market transaction module is used for optimizing the earnings of the virtual power plant; and the core algorithm module is used for optimizing the load prediction precision. The market transaction module implements two-stage market bidding based on a multi-agent game model, analyzes the uncertainty of quotation of competitors through a multi-scene simulation technology, optimizes a dynamic transaction strategy, and achieves the maximization of spot market benefits and the controllability of risks. Through cooperative work of a virtualization platform module, a dynamic resource aggregation module, a market transaction module, a core algorithm module, a security management module and the like, efficient management of resources and maximization of market benefits are realized.

The invention relates to the technical field of power supply system management, and discloses a centralized management method and management system for a power supply system. The method comprises the following steps: monitoring a current fluctuation sequence and voltage offset data of each node of a power supply network in a continuous operation period, and collecting an equipment state log text and load change time sequence information; identifying a time point of abnormal sudden change of current fluctuation, and extracting a characteristic parameter set of a power supply quality reduction event in combination with a voltage offset data change amplitude; matching a historical abnormal event library, positioning key operation record fragments strongly related to load change in the log, and generating a mapping relation table of equipment operation behaviors and power supply quality fluctuation through semantic analysis and time sequence alignment; and correcting the parameters of the load prediction model, outputting and executing a power supply priority dynamic adjustment strategy, and triggering automatic calibration of equipment operation parameters. According to the method, comprehensive control of the power supply system is realized, abnormity can be identified and processed in time, association between operation and quality is clear, and stability and flexibility of operation of the power supply system are improved.

The invention relates to a power plant temperature control system safety protection device and system. The power plant temperature control system safety protection device comprises a redundant temperature acquisition module, a temperature control safety processing module, an actuator control protection module, an intelligent strategy recovery module and a communication and alarm module. Through multi-point temperature data acquisition, abnormal trend intelligent identification and local linkage control, the device realizes quick response and protection control of temperature control abnormity of a key area of a boiler thermodynamic system. The system supports data interconnection with a DCS platform and an alarm analysis platform, has local independent operation and remote centralized management capabilities, and is suitable for temperature control safety protection of high heat load areas such as boilers of coal-fired power plants.

The invention discloses a material digital centralized management and control system based on the Internet of Things, which relates to the technical field of digital management and control and comprises a supply chain management unit, a loss management unit, a cost accounting unit, an inventory management unit, a dynamic adjustment unit and a user management unit. The system can accurately plan the purchase quantity and time, screen high-quality suppliers, guarantee the quality and stability of material supply from the source, deeply analyze the loss data in transportation, storage and processing, formulate a targeted strategy, reduce material loss, reduce waste, dynamically check the cost in real time, perform apportionment analysis according to different dimensions, and accurately control the cost. Through intelligent warehouse-in and warehouse-out management, regular inventory checking and intelligent inventory prediction, it is ensured that inventory data is accurate, inventory is reasonably planned, an inventory strategy is dynamically adjusted, inventory overstock or stockout is reduced, and inventory cost and service level are balanced.

The invention relates to the field of computer systems, in particular to an operation stability testing method and system oriented to a heterogeneous computing system, and the method comprises the steps: constructing a system overall operation logic model comprising a resource topological structure, a task scheduling rule and a communication link matrix; identifying a key communication path according to the communication link matrix, analyzing a resource competition hotspot in combination with a task scheduling rule, and establishing an interference model library; calling a specific model instance in the interference model library according to a test target, configuring injection parameters, and dynamically applying interference in a system operation process; key performance indexes in the system operation process are collected in real time; based on the real-time monitoring data, a multi-index weighted scoring algorithm is adopted to calculate an overall stability coefficient, a robustness grade and a self-healing capability index of the system, and a stability evaluation result is generated; and generating a visual report according to the topological structure of the operation logic model, and supporting comparison and analysis of historical versions. Unified centralized management is realized, and test efficiency and evaluation accuracy are improved.

The invention discloses a multi-cluster heterogeneous computing power scheduling method oriented to an AI training reasoning task, and belongs to the technical field of computers. According to a scheduling mechanism with issuing of the AI task as a core, the state of a resource pool is monitored in real time, resources are dynamically allocated, it is ensured that the AI task is efficiently executed, the use efficiency of the whole resource pool is improved, and the load state of an AI application example is detected in real time; through an elastic telescoping function, AI application examples are automatically expanded and shrunk, stable operation of AI tasks is ensured, resources of a plurality of clusters are integrated into a unified resource pool, centralized management and cooperative scheduling of the resources are achieved, the load condition of each cluster is monitored in real time, load balancing is automatically carried out among the clusters, and the AI tasks are reasonably distributed to different clusters. And the GPU resources of the specified model are accurately allocated to the AI task according to the actual demand of the AI task, so that the situation that the AI task application runs on non-optimal resources is avoided, and the efficient running of the AI task is ensured.

The invention relates to the field of logistics vehicle management, in particular to a centralized management method and system for intelligent vehicles. The invention discloses a centralized management system for smart vehicles. The centralized management system comprises a task receiving module, a portrait construction module, a vehicle screening module, a sign-in verification module and a queue management module. According to the method, the vehicle multi-dimensional portrait model is constructed, and the transportation cost, the transportation efficiency and the like are subjected to multi-dimensional matching calculation based on the multi-objective optimization algorithm, so that intelligent vehicle dispatching decision-making from experience driving to data driving is realized; according to the method, the historical operation data, the real-time state and the driver behavior characteristics of the vehicle are comprehensively considered, a global optimal vehicle dispatching scheme can be output, the vehicle dispatching accuracy and the resource utilization efficiency are remarkably improved, and the limitation that a traditional method only depends on a single factor for dispatching is overcome.

The invention discloses an asset management system based on a full life cycle, relates to the technical field of asset management, and comprises centralized management, real-time monitoring, intelligent analysis and scientific decision of asset data. The asset management system based on the full life cycle comprises an asset information management module, an Internet of Things data acquisition module, a data analysis and intelligent maintenance module, an intelligent decision support module, a visual management module, a risk early warning and compliance management module and a block chain evidence storage and traceability module. Through the asset information management module, basic information of assets is intensively recorded, updated, audited and cleaned, data formats are unified, meanwhile, the Internet of Things data collection module collects asset operation data in real time, the data are subjected to cleaning, conversion, feature extraction and other processing in the big data analysis and intelligent maintenance module, and the data are stored in the storage module. Effective integration of multi-source data is achieved, the system further provides an intelligent analysis function, and deep mining is carried out based on the integrated data.

The invention relates to the technical field of information security, in particular to a security baseline setting method and system equipment based on clustering decision and a medium, and the method comprises the steps: collecting original data, carrying out the construction of a feature vector through feature conversion, generating a sample, and marking and extracting the sample; constructing a classification model by using manifold learning, inputting the extracted feature vectors into the constructed classification model, optimizing the model through training, and outputting classification labels; processing the decision boundary by using constraint optimization and feature scaling to obtain a standardized feature vector converted by a decision boundary model, grouping based on the standardized feature vector, and extracting a baseline; the security policy is generated through data analysis, and the data is dynamically updated and continuously monitored, so that the unified configuration and centralized management of the security policy are realized, and the policy implementation efficiency and the system expansibility are remarkably improved.

The invention discloses an integrated information automatic supervision system and method for an edge device, and relates to the technical field of edge computing, an edge node management module of the system accesses the edge device, generates basic attributes and carries out containerized application deployment; the real-time monitoring and diagnosis module is used for collecting equipment operation data, identifying abnormity, positioning a fault type and triggering an alarm; the automatic strategy generation module is responsible for generating a customized repair strategy; the MESH communication and repair execution module constructs an edge device ad hoc network, realizes networking and offline strategy transmission and executes a repair instruction; the solution knowledge base module stores equipment fault types, historical repair cases and strategy templates, and updates strategy matching logic; the application deployment management module packages application programs through container mirror images, and distributes the application programs to edge nodes in batches according to scene templates; and the centralized management and control module visually displays the equipment state, the fault alarm and the strategy execution record, and provides manual intervention and global strategy configuration.

The invention relates to the technical field of aerospace management, in particular to an edge-cloud collaborative integrated management architecture, which comprises edge computing node equipment, a cloud platform server cluster and a networking sensor network, through a side cloud cooperation mechanism and the unified management platform, centralized management and efficient scheduling of operation and maintenance of the low-altitude aircraft are realized, management links and operation processes are reduced, the management efficiency is improved, and the unified management system can dynamically allocate resources according to operation requirements and real-time states of the low-altitude aircraft, so that the management efficiency of the low-altitude aircraft is improved. The system has the advantages that high-efficiency utilization of resources is guaranteed, waste and bottleneck of the resources are avoided, the real-time monitoring and fault early warning system can find potential faults in advance, occurrence and expansion of the faults are reduced, the maintenance cost is reduced, the downtime of the aircraft is shortened, the flight safety and the operation reliability are improved through the autonomous 4D flight path generation technology and the real-time monitoring system, and the service life of the aircraft is prolonged. And a powerful guarantee is provided for wide application of low-altitude aircrafts.

The invention discloses a management system of a server and the server, relates to the technical field of computers, and realizes efficient interconnection and centralized management between a plurality of computing nodes and a management module by introducing an interface module between the computing module and the management module. Specifically, each computing node comprises a computing unit and a programmable logic device, a plurality of computing nodes are connected through the programmable logic device in the interface module, and the first management module obtains the operation data of each computing node through the interface module, so that the design that one management module manages multiple nodes is realized, the management units can be reduced, and the management efficiency is improved. And the cost is reduced, so that the expandability and the management efficiency of the system are improved.

The invention discloses a server configuration method and system, a server, equipment and a medium, and relates to the technical field of computers.The method comprises the steps that a configuration file sent by a front-end tool is received and analyzed through a unified configuration service interface, and a to-be-configured item and to-be-configured information corresponding to a current configuration event are obtained; obtaining an execution topological structure chart matched with the current configuration event; according to the execution topological structure diagram, sending a modification instruction carrying to-be-configured information to a to-be-configured module in a server; and according to a preset event atomization configuration rule, if any to-be-configured module runs abnormally, rolling back each to-be-configured module corresponding to the current configuration event to the previous configuration version. Centralized management of configuration is realized through a unified configuration service interface; and through the event atomization configuration rule, the consistency of the overall configuration state is ensured. The problem that the current configuration automation degree is low can be solved, and the effect of improving the configuration automation degree and the configuration efficiency is achieved.

The invention relates to a multilevel semantic enhanced educational knowledge graph construction method, belongs to the technical field of artificial intelligence and educational information processing, and aims to solve the problems of insufficient semantic understanding, inconsistent structure, high labor cost and the like in existing educational knowledge graph construction. According to the method, an education text is preprocessed, a multi-level knowledge point catalog and a dependency relationship are constructed, entity relationship extraction and attribute completion are performed in combination with a large language model, a knowledge point precedence relationship is identified by utilizing a random forest model, and the structure normalization is further improved by adopting an entity disambiguation mechanism. And the constructed knowledge graph is managed in a centralized manner through a visual interface and imported into a graph database to realize structured storage. The method has the advantages of being clear in structure, accurate in semantics, high in construction efficiency and the like, and is suitable for automatic knowledge modeling and management of multidisciplinary education content.

The invention discloses a data processing system and method based on a federated architecture interface and related equipment, and relates to the technical field of computer software, in particular to a federated architecture distributed system formed based on a central coordination node and a plurality of regional autonomous nodes. The central coordination node is used for performing global strategy making, metadata block chain evidence storage, conflict detection and federated monitoring and self-healing to realize global management and control, and the regional autonomous node adapts to a physical machine heterogeneous environment to perform local strategy execution, heterogeneous protocol conversion and resource autonomous regulation and control so as to realize flexible regulation of a regional strategy. According to the scheme, through a federated and intelligent treatment system, inherent contradictions between centralized management and control and department autonomy, standardization and rapid iteration and global safety and local flexibility are solved, technical support is provided for an enterprise to construct a standardized, high-reliability and easy-to-expand API ecological system, digital transformation is assisted, and the enterprise safety is improved. And global controllability and local autonomy of enterprise-level API ecology are realized.

The invention discloses a video acquisition method and device based on modular low coupling, and relates to the technical field of video processing. The method comprises the following steps: initializing a video processing system, creating a unified system resource management interface, and realizing centralized management of video acquisition, encoding, decoding, OSD control and NPU push modules; based on a modular design principle, video acquisition, coding, decoding, OSD control and NPU push functions are packaged into independent modules, and data interaction between the modules is realized through a standardized interface. The video processing system is modularly designed, and a unified standardized interface is provided, so that the effect of greatly reducing project code coupling is achieved, a developer does not need to pay attention to underlying logic when calling the interface, and module function independence is guaranteed; by means of the modular interface design, developers can rapidly integrate platform functions, development work can be completed without deeply knowing the whole code library, and therefore the project development efficiency is improved.

The invention discloses a micro-service application management method and device and computer equipment, and belongs to the technical field of cloud native computing. The method comprises the following steps: creating a corresponding self-defined resource object for each micro-service function node; reading operation state information in the custom resource object to detect the operation state of each micro-service function node; based on the operation state and the function description information, identifying a plurality of target micro-service function nodes which can be combined at present, and combining to form a target service chain; reading communication parameters of each target micro-service function node to establish a DDS communication relationship; and controlling each target micro-service function node to execute functions and performing data transmission through the DDS communication relationship so as to cooperatively execute the target task process. The invention provides a method for supporting a micro-service application based on a DDS communication model to realize unified registration, automatic operation, centralized management and flexible combination and arrangement on a Kubernetes cloud native platform, so as to solve the problem of insufficient support of an existing micro-service framework for DDS type communication middleware.

The invention discloses a front-end multi-module development method and system based on module federation. The method comprises the following steps: extracting necessary examples, public components and public methods in a front-end project to a public basic module, and constructing a module federated product; decoupling other functional modules, and configuring a module code and a module federation construction entry in the construction configuration file; remote module lists and configuration information are managed in a centralized mode through the project configuration module; executing a construction command to call the project construction module to independently package each module and update the project configuration module; and when the application is started, the project loading module loads the public basic module and the remote function module according to the project configuration module. Compared with an existing Module Federation scheme with application as granularity, independent construction, configuration management and flexible loading during operation are achieved on the module level, dependence on repeated and redundant logic is avoided, module plug and play and version switching are supported, and therefore development efficiency, construction performance and expansibility are improved.

The present invention relates to a bearing ball inspection system configured for automated non-destructive testing of spherical components. In an exemplary embodiment, a bearing ball is delivered to an inspection point by a rail guide and supported by a positioning wheel configured to rotate the bearing ball during imaging. Cameras capture images of different surface regions under controlled illumination provided by ultraviolet or white-light sources. A control system comprising a microprocessor and memory executes a machine learning model to analyze the images and detect surface defects without requiring manual interpretation. Based on the analysis, a sorting mechanism directs the bearing ball to a pass or fail location. The system further includes communication interfaces configured to transmit inspection results to a remote computing device and receive control instructions. This integrated architecture enhances inspection reliability, improves throughput, reduces inspection variability, and supports centralized management of inspection systems across distributed production sites.

The invention discloses a building equipment remote monitoring and maintenance method based on the Internet of Things, and the method employs a unified data communication protocol and gateway equipment, and enables building equipment of different brands, models and types to be accessed to an Internet of Things platform through multi-protocol conversion for centralized management and remote monitoring. The gateway equipment supports the automatic protocol adaptation of the equipment, ensures the compatibility among different equipment, and can adjust the data format and the communication frequency according to the equipment type. Through the multi-protocol conversion gateway technology, different devices can automatically adapt to the unified management protocol of the Internet of Things platform, the devices do not need to be complexly upgraded or reformed, so that the compatibility problem caused by diversity of device brands and models is solved, the block chain technology ensures the safety and non-tampering performance of device monitoring data, and the safety and reliability of the device monitoring data are improved. And data leakage and forgery are prevented, so that the reliability of the operation data of the building equipment is guaranteed. The transparency and traceability of data records greatly enhance the management and auditing capabilities.

This invention relates to a system and method for securely sharing online accounts without disclosing login credentials. The innovation introduces a comprehensive framework that includes a capture module for collecting session data, a duplication module for creating a duplicate account, a configuration module for customizing access settings, a communication module for securely transmitting access details, and an access control module to manage interactions with the target account. The system leverages web browser extensions for data capture, employs unique identifiers for account linkage, and utilizes a desktop application for centralized management. It facilitates secure account sharing by enabling the configuration of permissions, monitoring user activities within the duplicate account, and presenting these activities via a dedicated dashboard, all without compromising the original account's credentials. This approach ensures that authorized users can access shared online accounts securely, with defined restrictions on their actions, thereby enhancing privacy and security in digital interactions.

The invention discloses an electronic license technology for special operation examination and approval through material object scanning and face recognition, and particularly relates to an electronic operation license for examining and approving dangerous operation for special operation in a production field in an information acquisition and online management mode. Comprising a special operation management and control system, a face / appliance recognition system, a gas detection system and a movable monitor. According to the special operation management and control system, an informatization platform is mainly built, the original paper version approval process is converted into online approval, whole-process supervision is achieved, and meanwhile a mobile phone end APP and a computer end webpage are built. The face / appliance recognition system is mainly used for a face recognition system and an equipment and facility recognition system; the gas detection system comprises a portable gas concentration detection alarm instrument, a data storage device, a data transmission device and a recording device; the movable monitoring system can construct all processes for monitoring, remote supervision is facilitated, and archiving and reviewing are achieved at the same time. An informatization centralized management and control mode is adopted, the original tedious processes of paper version approval, archiving, regular detection of toxic and harmful gases and recording are broken through, online approval and process full recording are realized through system construction, a tamper-proof function is set, the record traceability is ensured, real field confirmation of personnel at all levels is ensured, and the system is safe and reliable. And meanwhile, the whole process can be remotely and comprehensively monitored.

The invention relates to the technical field of coal mine test equipment, in particular to a one-stop automatic test integration platform and a test method for coal mine application software. The one-stop automatic test integration platform comprises an executable test case construction module, an automatic test execution module and a test result management module. According to the automatic test platform and the test method, the functions of test management, system safety penetration, software automatic test, source code static analysis, system performance test, localization adaptation test and the like are integrated; the problem that in the prior art, it is difficult to comprehensively cover all function combinations and abnormal conditions by manually compiling test cases is solved, and the test omission ratio is remarkably reduced; centralized management and correlation analysis of data in each link in the testing process are realized through the data centralized management module, so that the testing efficiency is improved, and the problem positioning is more accurate and rapid; a standardized testing process is integrally formed, and software quality and compliance are guaranteed through all-around testing means.

The invention provides a PLC unmanned truss control method and system, and relates to the technical field of truss control, and the method comprises the steps: S1, an upper computer inputs a target coordinate, a PLC generates a three-axis motion track based on an interpolation algorithm, and dynamically adjusts the speed curve of each axis; s2, the upper computer reads real-time state data of the PLC and writes a control instruction into the PLC according to the real-time state data; s3, if the sudden stop signal is detected to be triggered, cutting off the power supply of the servo driver, recording the fault type and the triggering time, generating a log file, and otherwise, entering the next step; s4, the PLC receives a task instruction of the upper computer, and motion parameters are dynamically adjusted according to feedback of the sensor; and S5, controlling each axis to micro-move through the upper computer, and recording the coordinates of the teaching points to generate a reproducible motion sequence. Through cooperative control of the PLC and the upper computer, a centralized management and decentralized execution mode is realized, and the risk of single-point failure is reduced.

The invention particularly relates to a dynamic form data binding method. According to the dynamic form data binding method, the dynamic association between the field and the control is realized through visual configuration, the control type is automatically adapted when the field is changed, and code logic does not need to be manually intervened; a global binding relation matrix is introduced based on graph structure storage, the mapping relation between fields and controls is managed in a centralized mode, and when the fields are added, deleted and modified, a control adaptation and data degradation strategy is automatically triggered; and establishing bidirectional binding of a data model and a control based on a responsive framework, and dynamically generating an API response format in combination with JSON Schema to realize real-time synchronization of field addition, deletion, modification and check. According to the dynamic form data binding method, the data binding code can be automatically generated, so that the code writing workload of a developer is greatly reduced, the project development period is shortened, the business demand change can be quickly responded, real-time data interaction can be realized, and the fluency and convenience of filling the form by a user are improved.

The embodiment of the invention provides a test task scheduling method and device, equipment, a medium and a program product, and the test task scheduling method comprises the steps that a test task instruction sent by a user operation interface is received, and the test task instruction comprises a selected application identifier, a test case and at least one tested terminal; a test task is distributed to at least one tested terminal in parallel, and the test task is used for deploying and running an application corresponding to the application identifier and executing the test case; and receiving test result data collected and reported by at least one tested terminal. Through receiving user instructions and performing unified scheduling, centralized management and parallel distribution of test tasks are realized, through automatic deployment, operation and data reporting, manual intervention is reduced, flow consistency is ensured, execution efficiency is improved, multi-device collaborative test is realized, test coverage rate and reliability are remarkably improved, and manual operation errors are reduced.