1707 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.

The invention discloses a project-level visualization display method and system for highway multi-source data fusion, and the method comprises the following steps: 1, constructing a multi-source heterogeneous data exchange and integration frame, and carrying out the seamless connection and mapping of a BIM model, GIS space geographic information and an oblique photography three-dimensional point cloud model; 2, formulating a standardized interface specification, and performing specification processing on data from different sources through a data analysis and conversion engine; 3, dynamically and synchronously updating the multi-source engineering data and the project progress in real time; 4, gathering engineering data to construct a digital twinborn model of the expressway project to realize centralized management, multi-dimensional analysis and dynamic presentation in a visual scene; 5, carding and extracting management business logic to construct a flexibly expanded professional application module so as to realize intelligent analysis of the engineering project; and step 6, performing visual immersive display on the multi-source data fusion project by adopting visual man-machine interaction. According to the invention, visual comprehensive management and traceability of each element of the project are realized.

The invention discloses an electromechanical engineering construction information operation and maintenance management method and system based on the Internet, and particularly relates to the technical field of data management. Constructing an initial BIM model based on the design drawing, and generating three-dimensional model data containing equipment geometric information and space coordinates; a three-dimensional laser scanning device or a high-precision positioning sensor is used for obtaining the geometrical morphology and actual coordinates of a real object on site; the collected point cloud data is compared with the initial BIM model through a spatial data matching algorithm, deviation is recognized, the BIM model is automatically updated, and model precision dynamic correction is achieved; binding the updated equipment information and an equipment entity with a two-dimensional code, and synchronously binding an actual position coordinate through an indoor positioning label; uploading the corrected model and equipment information to a cloud operation and maintenance platform to realize information centralized management and multi-terminal sharing; the method improves electromechanical engineering operation and maintenance efficiency and information precision, and has good application value.

The invention discloses a manufacturing enterprise data center system and method based on a large model, and the system comprises a data collection layer which is used for constructing a multi-source heterogeneous data collection system; the data storage layer is used for constructing a data warehouse system comprising multiple layers and realizing data lake storage; the data processing layer and the service layer are used for deploying a model and integrating an anomaly detection module, a multi-modal fusion engine and a prediction model; the service layer is used for an interface group, integrating a Drive / ClickHouse query engine and a Redis cache, and supporting multi-condition combined query and millisecond response; deploying a visual service module and an RBAC / ABAC authority control system to realize data grading sharing; and the application layer is used for developing a production optimization application, a supply chain management application and a CRM application. Through a uniform data acquisition interface and an efficient data acquisition tool, mass data inside and outside an enterprise can be integrated, data islands are broken, centralized management and sharing of the data are realized, and availability and value of the data are improved.

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 relates to the technical field of engineering management, and discloses an engineering management resource optimization configuration platform, which comprises the following modules: a data acquisition and management module used for acquiring real-time state data of manpower, equipment and materials in an engineering project through Internet of Things equipment and sensors; the resource pooling and sharing module is used for carrying out centralized management on resources in the engineering projects, constructing a cross-project resource pool and carrying out resource sharing according to project requirements and resource states; and the intelligent scheduling and optimizing module is used for dynamically scheduling resources based on project requirements, task priorities and task dependency relationships. By adopting an intelligent scheduling method combining a hybrid genetic algorithm and a particle swarm optimization algorithm and a deep reinforcement learning dynamic scheduling module, resources can be dynamically allocated according to project requirements and task priorities, the utilization rate of the resources can be maximized, the phenomenon that the resources are idle or reused is reduced, and efficient configuration of the resources is ensured.

The invention relates to an unmanned aerial vehicle cluster cooperative system based on an ad hoc network, which adopts a star topology structure, and the star topology structure takes a leader unmanned aerial vehicle as a center node and performs instruction issuing and data collection with a subordinate unmanned aerial vehicle through direct communication; all the subordinate unmanned aerial vehicles perform task execution around the leader unmanned aerial vehicle, so that centralized management and efficient coordination of tasks are ensured; the leader unmanned aerial vehicle serves as a core node of communication and task command and is responsible for distributing tasks, planning paths and monitoring task progress; under the star topology, part of subordinate unmanned aerial vehicles take other nodes as relays to ensure that the remote unmanned aerial vehicle can receive a task instruction and feed back data to the leader unmanned aerial vehicle, connectivity in a cluster is kept through multi-hop communication, and the remote unmanned aerial vehicle can receive the task instruction. A multi-hop communication mechanism is used to ensure that communication connection and task instruction transmission can still be kept even if a task area is relatively large or the flight distance of the unmanned aerial vehicle is relatively long. And the efficient collaborative operation of the unmanned aerial vehicle cluster in a complex environment is ensured.

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 relates to the technical field of air conditioners, in particular to an air conditioner internet-of-things control method. An IoT (Internet of Things) module is integrated in each air conditioner, and environment data including temperature, humidity and air quality of a room are collected in real time through connection of an intelligent sensor and a cloud platform; data of all air conditioning equipment is summarized to form a centralized management system of equipment state and environment information; an intelligent cooperative control algorithm based on communication between the equipment is constructed by means of internet-of-things intercommunication between the air conditioning equipment; the air conditioning equipment detects environmental data in real time through a local sensor, accesses prediction data of an external environment including weather forecast and climate change trend, and adjusts a working mode in advance in combination with a self-learning function of the equipment; a multi-dimensional energy-saving optimization algorithm is adopted for intelligent control; meanwhile, the overall energy consumption is optimized in combination with external weather change and equipment use frequency; the optimization strategy comprises time period distribution and equipment priority control; and performing personalized user control based on big data analysis.

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 provides a multi-mode unified identity authentication method based on an OAuth2.0 technology, and the method comprises the steps: constructing a unified organization and user management system based on an OAuth2.0 protocol, and enabling the organization and user management system to integrate a unified account, authorization, authentication, application and audit management module; single sign-on, security access and centralized management and control are provided for an application system according to a plurality of preset authentication and authorization modes, wherein the preset authentication and authorization modes comprise an authorization code mode, an implicit mode, a password mode and a client mode. The system and the method have the beneficial effects that through a centralized digital identity management, authentication, authorization, monitoring and auditing platform, a legal user is ensured to access a trusted system and equipment with proper authority, and real-time early warning and effective prevention are performed on abnormal access behaviors, so that all-around security service and support are provided for an application system and related personnel; and the workload of system operation and maintenance is reduced while the user experience is improved.

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 belongs to the technical field of distributed computing, and relates to a distributed computing resource dynamic scheduling method and system suitable for a new energy scene. According to the method, the priorities of the calculation tasks are obtained by carrying out priority division on the calculation tasks according to the task characteristics. And a distributed computing node resource pool is established, so that centralized management and flexible scheduling of computing resources can be conveniently realized. Performance indexes of all nodes in the resource pool are collected and monitored, and reasonable allocation and efficient utilization of resources can be achieved. And scheduling the calculation tasks based on the priorities of the calculation tasks and the performance indexes of the nodes, generating a scheduling strategy, and ensuring that the tasks with high priorities preferentially obtain the calculation resources so as to meet the requirements on the task execution sequence in a new energy scene. And the scheduling strategy is adaptively optimized according to the performance index of each node, so that the utilization rate of resources and the stability of the system are improved. According to the method, the priority of the calculation task can be dynamically adjusted according to the characteristics of a new energy scene, and flexible scheduling of calculation resources is realized.

The invention belongs to the technical field of information positioning, and particularly provides a UWB-based personnel positioning data security management and control system and a UWB-based personnel positioning data security management and control method. Comprising a UWB positioning label, a UWB positioning base station, a data transmission system and a management and control center. The UWB positioning tag is used for transmitting a UWB signal; the UWB positioning base station is used for receiving and processing UWB signals; the data transmission system transmits the processed signal to the management and control center; the control center analyzes the signals and displays information of related personnel; according to the invention, accurate positioning is realized by using the UWB technology, and multiple arrangement modes are suitable for different use environments; and a centralized management and unified issuing form is adopted, so that the overall management and control efficiency of the power plant is 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 discloses a visual detection system for longitudinal tearing of a conveying belt, relates to the technical field of image recognition, and optimizes the problems of insufficient anti-interference capability, detection precision, false alarm rate and insufficient system integration and expansibility of the visual detection system for the conveying belt. Dust concentration, muddy water attachment and illumination conditions are monitored in real time, and a window structure and a cleaning device are dynamically adjusted by using a logical judgment algorithm, so that environmental interference is effectively reduced, image acquisition quality is improved, and definition of 3D image data is ensured; a multi-detection mechanism and a secondary confirmation strategy are introduced, a deep learning model is utilized to fuse historical data to construct a time sequence model, a tear prediction result is optimized through an attention mechanism, a tear risk assessment index Tlzs is finally generated, the detection precision is improved, and the false alarm rate is reduced. TCP / IP, Modbus Tcp and webSocket protocols are supported, data formats are converted in a unified mode and displayed visually, and centralized management of multiple devices is achieved.

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 discloses a method for enhancing a network boundary security policy of a power monitoring system, and belongs to the field of network security. Comprising the following steps: collecting security equipment strategies of different brands in the power monitoring system in combination with network security equipment characteristics of the power monitoring system, and performing intelligent analysis in combination with asset routing conditions; on the basis of asset detection, routing strategy acquisition and protection strategy acquisition, network security strategy calculation is carried out, and unified strategy management of security boundaries is realized; under the condition that the information security requirement is met, automatic issuing of protection and blocking strategies is realized; through centralized management of security policies of heterogeneous equipment, policy configuration data of the network security equipment is captured in an online acquisition mode, and a unified security policy library is formed in a normalization mode, so that unified management, carding reinforcement, carding optimization, topology modeling, path management and policy opening and plugging functions of the security policies of the heterogeneous network security equipment are realized. The method can be widely applied to the field of safety management and operation maintenance of a power monitoring system network.

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 discloses a multivariate heterogeneous storage cluster management method and a storage medium. In the method, all storage resources of the multi-element heterogeneous storage cluster can be managed and dynamically distributed in a centralized manner through the global resource pool of the management equipment, seamless data migration across different cloud computing environments and among a plurality of storage clusters is supported, the flexibility and adaptability of the system are enhanced, and the system reliability is improved. Therefore, the user can perform complete storage resource life cycle management from the aspects of creation, allocation, use, recovery and the like through the user interface without concerning the complex hardware configuration or network topology structure of the bottom layer, so that the operation and maintenance complexity can be reduced, human errors are reduced, and the user experience is improved. And the cost of the computing power center in the aspect of storage operation is obviously reduced.

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.