66 results about "Distributed management" patented technology

The invention discloses a rule engine and low-code dual-drive power grid digital graph fusion treatment platform and method. The platform comprises an infrastructure layer, a data layer, an algorithm engine layer and a business application layer. And the data layer is used for accessing and managing multi-source power grid data. And the algorithm engine layer comprises a rule engine module for configuring and executing data verification, digital graph association and exception handling rules, a data quality diagnosis algorithm module for performing data quality diagnosis to identify exceptions, and a digital graph fusion driving engine module for realizing bidirectional linkage between data and graphs. And the business application layer comprises a low-code arrangement platform for customizing a governance scene page and a work order process, a digital graph integrated display module for displaying multi-source power grid data on the same screen, and a closed-loop work order management module for automatically generating and distributing governance work orders. The method constructs a depth digital graph fusion system, improves the anomaly positioning and treatment efficiency, achieves automatic management and control and whole-course tracing, does not need a large amount of code development, and shortens the response period of a new business scene.

The invention discloses a distributed remote multi-available-area computing power scheduling method, and relates to the technical field of distributed management, and the method comprises the following steps: a management node collects available area state information and reports the available area state information to a main service node, so as to construct a dynamic global resource view; after receiving the calculation task, the main service node analyzes and splits the calculation task into sub-tasks; calculating the cost of scheduling to different available regions for each sub-task by constructing an adaptive cost function, and selecting the sub-task with the lowest cost as a target available region; distributing the sub-tasks to management nodes of the target available area, and distributing the sub-tasks to computing nodes for execution by the management nodes; the result is aggregated and returned to the main service node; meanwhile, the state of the available area is monitored, and tasks in the fault available area are rescheduled. Through combination of centralized coordination and distributed execution, computing power scheduling with low delay, high availability and high resource utilization rate is realized.

This application relates to the field of device connectivity technology and discloses a method and system for managing the connection of multiple cameras based on portable WiFi. The method includes: calculating the resource constraint coefficient in the portable WiFi environment; generating a distributed management configuration table for the management tasks of multiple cameras in the portable WiFi based on the resource constraint coefficient, and performing alternating active scanning and passive listening to obtain a camera access priority table; allocating resources to the camera devices in the camera access priority table to obtain a multi-camera resource allocation strategy, and dividing and allocating three-layer transmission channels based on the multi-camera resource allocation strategy to obtain a multi-channel data transmission control table; establishing a multi-level resource feedback mechanism in the portable WiFi environment based on the multi-channel data transmission control table, and dynamically calculating the bandwidth allocation ratio between camera devices to obtain a collaborative transmission optimization scheme, thereby improving the utilization efficiency of limited bandwidth resources and realizing the efficient collaborative work of multiple camera devices.

An integrated circuit (IC) device includes a functional circuit and a distributed management circuit that includes a plurality of configuration interface manager (CIM) circuits that receive respective programming partitions as configuration packets over a first communication channel (e.g., a network-on-chip or NoC), the configuration packets being configured to communicate with the functional circuit. And performing management operations on the respective regions of the functional circuit in parallel with each other based on the respective configuration packets, the management operations including providing configuration parameters to the respective regions of the functional circuit. The configuration packets may be streamed from the central manager to the CIM circuitry and / or read by a direct memory access (DMA) engine of the CIM circuitry. The central manager may configure the CIM circuitry and the NoC over a second communication channel (e.g., a global communication ring interconnect) during the initialization phase. The CIM circuitry may include respective packet processors, random access memories, authentication circuitry, error detection circuitry, and interconnect circuitry having a standardized bus width.

The application discloses a kind of distributed data encryption sharing methods based on block chain, and using block chain realizes the traceable management of search and authorization process.The scheme is first by multi-authorization center to carry out distributed management to attribute domain, and generates attribute key associated with identity for user;In access verification link, construct parameter masking mechanism based on bilinear pairing, so that user attribute private key is not directly exposed in block chain verification and query process.Secondly, data owner carries out layered encryption to shared data and session key, and constructs the improved multi-key search structure, index and ciphertext positioning information are recorded to block chain, to support fast positioning target ciphertext.In addition, the application uses linear secret sharing to set access structure, and designs subset determination mechanism of general attribute name set, binds the download permission of ciphertext with the attribute condition that user can satisfy, to prevent overreach download behavior.Finally, with the help of cloud, outsourcing decryption is executed to generate intermediate result, and terminal only needs to complete light recovery and decryption.The application can give consideration to fine-grained control, high-performance search access and terminal side low load, and is suitable for secure data encryption sharing in resource-limited scene.

The invention discloses an external open interface management method and device, a storage medium and a computer program product, and relates to the technical field of distributed management, and the method comprises the steps: obtaining an external access request through a unified request entrance; performing multi-dimensional validity check on the external access request; if the multi-dimensional validity check is passed, performing automatic authentication on the external access request, and obtaining authentication information based on the automatic authentication; and superposing the authentication information to the external access request to obtain a legal access request, and forwarding the legal access request to a corresponding target service in a routing manner. Through unified request admission, multi-dimensional validity check, automatic authentication and forwarding processing, refined and unified management of the external open interface is realized.

To provide a payment information management system and a payment information management method with which information on a payment made via a credit card is easily restored.SOLUTION: In a payment information management system 1, a payment terminal 10 obtains information on a credit card that has been used to make a payment, creates payment information according to the card information, sends the payment information and update request information for recording the payment information in ledger information, to a distributed management terminal, and stores the ledger information. The distributed management terminal 30 updates the stored ledger information according to the received update request information and payment information, and sends at least information on the update on the ledger information at least to a payment terminal 10 that differs from the payment terminal 10 via which the update request information has been sent.SELECTED DRAWING: Figure 1

Customers of a software platform, such as a unified communications as a service platform, are enabled to control their own encryption keys used to encrypt and decrypt data from various communication services in the software platform. A key broker server is employed to map encryption and decryption requests from servers in the platform to key management servers of customers based on user identifiers. Examples of data encrypted may include conference recordings, webinar recordings, phone call recordings, voicemails, emails, and calendar tokens.

A kind of distributed attack-resistant domain management and control method and system for giant constellation, the present application relates to satellite constellation management and control technical field, the present application aims at solving the problem of cooperative management and control and attack-resistant resilience maintenance of multi-layer heterogeneous giant constellation in dynamic topology environment.Technical points: the present application takes the management and control node satellite as core, combines with the cluster head satellite and ordinary satellite in domain, forms distributed management and control domain structure.The structure undertakes cross-orbit communication switching and distributed cooperative management and control function, effectively deals with the cooperative management and control challenge brought by the difference of multi-orbit satellite in operation cycle, communication topology and communication time delay;Introduce multi-element maximum entropy trust model: based on fuzzy C clustering algorithm and maximum entropy principle, construct dynamic trust evaluation system, and comprehensively quantitatively analyze the trust degree of distributed nodes.Through real-time identification of high-risk nodes and implementation of isolation measures, significantly reduce the interference of malicious satellite to inter-satellite data transmission, improve system security.The present application realizes the efficient cooperative management and control and attack-resistant ability enhancement of multi-layer heterogeneous giant constellation, provides key technical support for stable operation of giant constellation under complex threat environment.

The invention discloses a node management method in a distributed management system, relates to the technical field of distributed systems, and aims to solve the problems of load scheduling rigidness, low fault positioning efficiency and poor cross-node collaboration consistency in existing node management. The method comprises a node state sensing module, a dynamic load scheduling module, an intelligent fault processing module and a consistency maintenance module, accurate distribution of node loads is realized through an improved weighted adaptive load algorithm, a dynamic dependency graph is constructed in combination with a global TraceID penetration technology and a graph convolutional network model, and rapid positioning and self-healing of fault root causes are realized. A lease mechanism is innovatively introduced to optimize node state consensus, and reliability and high efficiency of cross-node data synchronization are guaranteed through a hierarchical consistency protocol. The method breaks through the limitation of traditional static scheduling and manual troubleshooting, improves the adaptive capacity, fault tolerance performance and operation and maintenance efficiency of the system, is suitable for a large-scale complex distributed cluster scene, and has wide engineering application value.

The utility model discloses a kind of integrated energy demand side distributed management device, including case, mobile device, horizontal moving platform and detection box, partition installation space is equipped in case, with controller and power module are equipped;Mobile device contains moving wheel and support adjusting seat, support adjusting seat can be vertically moved to realize "mobile-fixed" state switching;Horizontal moving platform is driven support table horizontal movement by drive screw and drive hand wheel;Detection box is equipped on support table top, and multiple in-out interfaces are equipped on side wall.The device is flexible and stable support by mobile device, simplify interface docking by horizontal moving platform, rely on partition installation space and detection box to improve equipment integrated protection capability, and can be integrated photovoltaic inverter detection, energy consumption sensor adaptation function to realize intelligent management, effectively improve the real-time performance, security and operation efficiency of energy management.

A metadata synchronization method, apparatus, and system. The method is applied to a distributed file system. The system comprises a plurality of nodes, each node storing file system metadata, wherein a first node operates on a file and updates first metadata. The first node sends a first metadata update request to other nodes by means of a collision-free data synchronization protocol. The first node receives a second metadata update request sent by a second node on the basis of the collision-free data synchronization protocol, and the first node updates second metadata on the basis of the request. In the method, a distributed metadata management mode is used, thereby avoiding the problem in centralized management that a metadata management node is highly loaded and easily becomes a system bottleneck. The distributed management mode reduces the risk of a single point of failure, and facilitates system scalability and reliability. Metadata synchronization is performed on the basis of the collision-free data synchronization protocol, thereby ensuring data consistency, avoiding the problem of high delay caused by a complex election mechanism and a communication process, and improving synchronization efficiency.

The application provides a kind of intelligence calculation fusion network heterogeneous resource elasticity adaptation and deterministic scheduling system and method, belongs to industrial internet of things technical field, comprising: the system of establishing distributed management and centralized control under the scene of intelligence calculation fusion network;According to the distributed management and centralized control system, the two-stage random optimization problem of different time scales is established;For large-scale resource adaptation problem, a resource elasticity adaptation scheme based on heuristic algorithm is adopted;For small-scale scheduling sub-problems, a deterministic scheduling scheme based on deep reinforcement learning is adopted;Using the resource elasticity adaptation scheme and deterministic scheduling scheme, the optimal resource adaptation and scheduling result is obtained.The application can meet the resource flexible configuration demand under high dynamicity and uncertainty environment, ensure low delay and high reliability in data scheduling process.

A server includes physical compute nodes. Each physical compute node includes a host and physical management resources. The physical management resources include a physical management processor. The server includes a distributed hypervisor to provide a distributed application operating environment that is hosted by the physical management resources. The distributed hypervisor to allocate, from the physical management processors, virtual processors for the distributed application operating environment to execute applications to manage the physical compute nodes. The distributed hypervisor includes a plurality of hyper-kernels that are associated with respective physical compute nodes. Each hyper-kernel is hosted on the physical management resources of the associated physical compute node.

The invention discloses a digital twinning-based power distribution project full life cycle management method and system, and relates to the technical field of power distribution management, and the method comprises the steps: constructing a digital twinning network; when a wide-area fault occurs and communication of the central master station is interrupted, a self-organizing reconstruction mode is triggered; activating a terminal AI agent in the fault area, and generating a preliminary reconstruction action intention; joint simulation evaluation is carried out in the digital twin network, and a power supply recovery path is deduced; and forming a cooperative action strategy based on a simulation result, and cooperatively executing switch on-off operation to realize centerless self-healing of the power distribution network. The technical problems that in the prior art, when a central master station fails and communication is interrupted, a centralized power distribution network fault processing system breaks down, and distributed management lacks collaborative optimization and prospective verification capabilities, so that the power supply recovery speed is low, and the reliability is low are solved. The technical effects that power grid self-healing is achieved through multi-agent distributed cooperation supported by digital twinning, and the power supply recovery speed and reliability are improved are achieved.

The embodiment of the invention provides a model management method, a model management device, electronic equipment, a chip, a storage medium and a computer program product. The model management method comprises the following steps: extracting a model structure chart and model parameters of a model; respectively casting the model structure diagram and the model parameters into a non-homogeneous token NFT to obtain a model structure diagram material NFT and a model parameter material NFT; and storing the model structure diagram material NFT and the model parameter material NFT into an NFT capability platform for distributed management.

This invention discloses an identity-based encryption method for multi-owner sharing. Multiple data owners distribute and manage a share of the master secret, using a Shamir threshold mechanism to achieve secure, distributed storage and use of the master secret. The user end non-interactively generates a complete user private key by aggregating partial keys from a threshold number of data owners. The encryption end generates ciphertext using the system public key and identity identifier, and the decryption end recovers the plaintext through bilinear pairing operations. This invention completely eliminates the single point of failure risk of traditional identity-based encryption, ensuring that the master secret does not need to be reconstructed throughout the key generation process, thus improving system security and efficiency. It is suitable for privacy protection scenarios such as distributed storage and blockchain.

The application relates to the field of energy storage battery communication management, and particularly discloses a large-scale multi-node high-throughput data communication system of an energy storage battery, which comprises a device layer, a communication layer and a management and scheduling layer; the management of the device layer on the battery comprises an IP mode and grouping management based on the battery state; the wideband industrial bus of the communication layer is used for transmitting data between BMUs, BCU and BAU in a BMS and for data interaction between the BMS and an EMS; a distributed domain bus is used for dividing a plurality of BMSs into different domains and realizing cluster communication between BMS nodes in each domain. Cluster management is realized by using the distributed domain bus, the problems of complex traditional networking wiring and difficult maintenance are solved, unified scheduling of energy storage devices of different manufacturers is realized through a self-defined domain address strategy, and the addressing efficiency and distributed management and control capacity of large-scale nodes are optimized.

The invention belongs to the technical field of Internet of Things block chains, and relates to a lightweight storage and efficient verification system and method based on a chain network fusion architecture. Comprising a terminal layer and an edge calculation layer. The terminal layer is composed of an Internet of Things terminal and a corresponding lightweight terminal, and is responsible for sending collected original data to a nearby edge node, taking the collected original data as a lightweight verification main body, and auditing and retrieving a storage state of own data through a metadata index provided by a block chain; edge nodes in the edge computing layer are responsible for performing erasure code encoding processing on original data, generating data fragments, maintaining partial block chain account books, responding to a query request of end equipment and generating a possession verification proof. According to the invention, through a refined fragment index and a hierarchical verification mechanism, storage and evidence integrated distributed management is realized, and the problem that the Internet of Things terminal equipment performs efficient retrieval and completeness verification on the data stored in the non-completely trusted edge node in a resource limited environment is solved.

The invention provides an abnormal traffic positioning method and system, and the method comprises the steps: obtaining a to-be-positioned data set which comprises current traffic related data requesting to operate a resource object in a distributed management platform, and historical performance index data of the distributed management platform for the request; and adjusting the current traffic related data of the to-be-positioned data set, respectively determining the performance index data of the distributed management platform at the next moment before and after adjustment according to the to-be-positioned data set before and after adjustment so as to obtain the influence of the change of the traffic related data on the performance index data, and determining the abnormal traffic of the to-be-positioned data set according to the influence. And the accuracy and the reliability can be improved without depending on the working experience of operation and maintenance personnel. Besides, positioning based on the influence of the change of the flow-related data on the performance index data is a positioning process based on a superimposed effect involving a plurality of complex factors instead of a simple linear relationship, so that the positioning accuracy is improved.

This disclosure provides a distributed management system and method thereof, and a computer-readable storage medium. The distributed management system includes: a multi-branch management module for establishing multiple types of branches based on the characteristics of different network states, each branch serving as a carrier of network states; and a planning engine module for performing network state attribute customization and network state operation functions based on the characteristics of each branch in the multi-branch management module. This disclosure implements storage based on the characteristics of network state data.

A data structure for 3D object management data used for displaying images of digitized 3D objects is disclosed.The data structure includes a registrant identification code to identify the registrant of the 3D object, an object type number specifying the type of the 3D object, an object serial number assigned to the 3D object whose type has been specified in sequential order of registration, a storage number to specify a storage means storing 3D data to specify a 3D shape of the 3D object to be registered, geodetic position data to specify a current position of the 3D object to be registered, orientation data to indicate the direction of the 3D object, and updated date and time of the 3D data. The 3D data is acquired from a blockchain, in which the 3D object management data is recorded, using an inputted geodetic position to generate and display relevant 3D images.

This invention provides a multi-mode safe collaborative operation optimization method and system for airport vehicle axles, relating to the field of automation control technology. The method includes: collecting the scenario input state vector of the operational vehicle axle in a distributed management system, including state vectors of environmental, equipment, and task dimensions; performing path planning and obtaining path complexity evaluation indicators; identifying real-time control mode labels, performing risk prediction, and outputting operational risk indicators; defining control parameters, including torque output parameters, differential lock parameters, torque sensitivity parameters, and braking force parameters; and performing adaptive step-size threshold calculation to compensate for and constrain the control parameters of the operational vehicle axle. This invention solves the technical problem of existing technologies that rely on fixed path planning and static control parameters for airport vehicle axle scheduling and management, lacking the ability to dynamically adjust according to actual conditions, leading to safety hazards in airport vehicle axle operation.

The disclosed system provides distributed management and control of satellite constellations. Such distributed management and control that involves a plurality of satellites, a plurality of ground stations, a mission control station, and a data center that hosts a portion of an Internet cloud. The system resolves issues that have plagued legacy attempts. Specifically the disclosed system includes optimized communication with satellites that leads to more efficient transfer of data and payloads to or from or by or between satellites and ground control systems. This is achieved through use of micro-batching of communications. In this manner, data may be processed and more effectively transmitted to and from more than one satellite and back to one or more ground stations, including coordinated transmissions of portions of a micro-batch between two or more ground stations.

The invention relates to a two-party collaborative ECDSA signature method for resisting random number replacement attack, which is used for solving the security risk caused by high possibility of tampering random numbers and concentrated private keys in the traditional ECDSA signature. The method comprises the following steps: a participant and a PCF (Pseudo-Random Correlation Function) respectively generate proof and verification keys of a signature random number to ensure that a random number generation process is verifiable and cannot be tampered; random numbers are selected from the remaining classes of the modular large integers to serve as respective private key shares; a random number and a proof required by the signature are respectively generated through a PCF proof algorithm, and after the random number is cooperatively verified, the signature of the message is jointly generated; and finally verifying the validity of the signature. The method is not only completely compatible with the standard ECDSA in signature format and verification process, but also realizes distributed management and cooperative calculation of signature power, effectively avoids single-point failure, remarkably enhances the anti-attack ability and signature credibility of the system, and is suitable for high-security demand scenes such as digital asset trusteeship and block chain consensus nodes.

The application relates to the technical field of network communication, in particular to a remote fault diagnosis method and system based on an FTTR network and a storage medium. The method comprises the following steps: a monitoring module for monitoring network state is arranged on each node of the FTTR network, each monitoring module is provided with a data acquisition unit and a state analysis unit, and each node collects network state data in real time through the data acquisition unit. The network state data comprises network delay, packet loss rate, equipment temperature and bandwidth utilization rate, the network state data is preliminarily analyzed through the state analysis unit, and historical data is compared to determine the change trend of the current state. Through the distributed management mode, the single-point fault problem in the traditional centralized management is avoided. Each FTTR node can independently monitor its own state and work cooperatively with other nodes, even if a certain node fails, other nodes can still work normally, and the stability of the whole network is ensured.

The invention provides an elastic adaptation and deterministic scheduling system and method for heterogeneous resources of an intelligent computing fusion network, and belongs to the technical field of industrial Internet of Things, and the method comprises the steps: building a distributed management and centralized control system in an intelligent computing fusion network scene; establishing two-stage random optimization problems of different time scales according to the distributed management and centralized control system; a resource elastic adaptation scheme based on a heuristic algorithm is adopted for a large-scale resource adaptation problem; a deterministic scheduling scheme based on deep reinforcement learning is adopted for a small-scale scheduling sub-problem; and obtaining an optimal resource adaptation and scheduling result by using the resource elastic adaptation scheme and the deterministic scheduling scheme. According to the method, the flexible resource configuration requirement in a highly dynamic and uncertain environment can be met, and low delay and high reliability in a data scheduling process are ensured.

The invention discloses a millisecond-level FPGA distributed management and control method and system, and relates to the technical field of server hardware intelligent management, and the method comprises the steps: receiving a management and control instruction from a BMC through a built-in hard core processor of an FPGA, and extracting a target SoC identifier from the management and control instruction; activating the target communication channel through a multiplexing matrix integrated by an FPGA, and transmitting the control instruction to a corresponding target SoC node; and obtaining an execution state of the target SoC node, and returning the execution state to the BMC. According to the invention, grading signal quality determination and self-adaptive verification mode generation are carried out on a target communication channel through the CRC verification circuit, and intelligent sensing of the physical link state and dynamic matching of verification intensity are realized.

Disclosed subject matter identifies, characterizes, and mitigates previously unforeseen safety hazards that are likely to be encountered by autonomous conveyances—finding these hazards, assessing their potential safety impact, modifying the design to mitigate them should they occur, disseminating updated design programming to all units, including those under construction or those already in the field, and including those hazard mitigations of high severity that exceed the maximum capabilities of the controller as manufactured. These hazards can include rare, infrequent and unforeseen hazards by monitoring conveyances already in the field, gathering data from autonomous conveyances, such as those using a design being updated, and data obtained from those using other autonomous designs in the field. By obtaining data from non-autonomous conveyances, as supplied by their drivers and operators, reporting real-time via a smartphone application, categories of rare, infrequent or unforeseen hazards can be integrated into modified designs.

This application provides a distributed management method and system for big data in pharmaceutical supply chain distribution and settlement. Through distributed ledger storage and cross-verification, it establishes a trusted data foundation for workers from various parties involved in multi-source heterogeneous settlement data. Specifically, steps S131-S134 ensure the effectiveness of cross-verification, and random verification combined with exponential expansion of verification objects ensures the security of the verification process itself and effectively prevents verification errors. By integrating secure multi-party computation with a consensus-based global settlement rule model, it achieves privacy-preserving intelligent settlement where data is usable but not visible. While protecting core business secrets such as prices and sales volume, it ensures the automatic and accurate calculation of complex rules, enhancing the value of multi-party data fusion.