46 results about "Global configuration" patented technology

The invention provides a service deployment method and a service deployment system based on Kubernetes. The method comprises the following steps: receiving a deployment instruction carrying an overall planning script package, wherein the overall planning script package comprises an overall planning file, a global configuration file and a plurality of sub-script packages; analyzing the overall arrangement file to determine the execution sequential logic of each sub-script package, and extracting a target configuration parameter from the global configuration file; the sub-script packages are scheduled in sequence, sub-script package description files in the sub-script packages are read, and instantiation deployment parameters are generated in combination with local parameters; analyzing an instruction definition file in the sub-script package to identify an extension instruction; and executing the instruction according to the instantiated parameters, and completing container deployment, database initialization and configuration issuing of business services by issuing an atomic operation instruction to a Kubernetes cluster. According to the method, a complex deployment process is abstracted into a unified arrangement and scheduling process, and the efficiency and reliability of service deployment are remarkably improved.

The invention discloses a global configuration management system and method for a multi-control-domain vehicle-mounted system, and centralized management of multi-control-domain configuration is realized through a configuration management server, a Redis sentry node cluster and a Redis master-slave node cluster. The Redis server is used as a configuration storage engine, role-based access control is realized by adding built-in attributes in configuration data, fine-grained authority management is supported, and configuration is prevented from being modified unintentionally; and master-slave replication is adopted to ensure the consistency of data, version management, persistent storage and automatic backup recovery of configuration data are supported, and meanwhile, a complete configuration change auditing and rollback mechanism is provided. According to the invention, the problems of scattered configuration, low updating efficiency, insufficient safety and the like in the traditional configuration management method are solved, the efficiency, the safety and the maintainability of the configuration management of the vehicle-mounted system are remarkably improved, and a solid technical support is provided for the development of intelligent networked automobiles.

The application discloses a kind of API gateway application access authorization and management method across resource pool, the method includes the following steps: S1: when creating application, controller is configured to be stored to nationwide area database Application, as global configuration center;S2: authorization process;S3: cancel authorization process;S4: user calls API application scene;A kind of API gateway application access authorization and management system across resource pool, the system is applicable to any one of the above method, and system includes: one: the application configuration storage module based on database implementation across resource pool;Two: application configuration adaptation module;Three: authentication authorization management module based on plug-in;Four: API calling SDK.The application improves efficiency and performance, reduces resource overhead, flexibly controls consumer configuration using consumer-restriction plug-in, but does not affect the dependence of other APIs on consumers, is simple and easy to use, improves the security capability and application scene of gateway.

This invention provides a parallel multi-objective stochastic parameter optimization method and apparatus. The method includes: configuring the number of nodes in a parallel computing cluster and generating a random seed sequence; loading and compiling the model to be optimized and obtaining its global configuration; sending the global configuration to all processes, with each process generating an initial parameter population satisfying the global configuration constraints based on the random seeds, and serially evaluating the objective function value; each process iteratively executing a shuffling complex evolution until convergence is met; and each process outputting its optimal parameter vector and corresponding objective function value to the root process, which then determines the global optimal solution. This invention significantly improves the accuracy and efficiency of parameter optimization, solving the problem of poor model optimization performance in existing related technologies.

The invention discloses an automatic deployment method for a long safety chain network based on Kubernetes Operator, and the core scheme of the method is to define double-layer custom resources (CRD): ChainMakerNetwork is used for declaring chain-level global configuration, ChainMakerNode is used for declaring node-level configuration, through the cooperative work of a node controller and a network controller, the network controller is used for declaring the global configuration of the chain-level, and the network controller is used for declaring the global configuration of the chain-level and the node-level configuration of the chain-level. A node controller generates an identity for each node and reports the identity to a resource state field in advance, and a network controller aggregates information to generate a global chain configuration file after monitoring that all dependencies are ready, so that the mechanism of the scheme breaks the circular dependency that node starting depends on network configuration, and network configuration generation depends on node identity; according to the invention, one-key and declarative deployment and full-life-cycle management of the long safety chain network in the Kubernetes environment are realized, and the deployment efficiency, reliability and operation and maintenance automation level are greatly improved.

The application relates to the technical field of program optimization, and particularly discloses a small program code volume reduction method and device, a storage medium and a computer device. The method comprises the following steps: in response to a small program code volume reduction instruction, determining a target small program to be subjected to volume reduction; acquiring a global configuration file of the target small program, and parsing declared valid page paths from the global configuration file; scanning an engineering directory corresponding to the target small program, and identifying a plurality of page directories contained in the engineering directory; comparing each page directory with the declared valid page paths respectively, so as to screen out redundant page directories not contained in the valid page paths from the plurality of page directories; and deleting the redundant page directories and all files under the redundant page directories, so as to obtain a target small program after code reduction.

The invention discloses a Modbus instrument communication configuration method and device based on an XML script, and relates to the field of instrument communication. The method comprises the steps that an XML script model is constructed, the XML script model is determined according to instrument communication data, and the instrument communication data comprises instrument global configuration information, organization logic of instrument parameters and definition and operation instructions of instrument data; acquiring instrument communication data to be configured, and writing the instrument communication data to be configured into the XML script model to obtain an instrument communication configuration result; and reading the instrument communication configuration result, obtaining a complete instrument data model, and feeding back the complete instrument data model to a caller. The technical problem that the development cost and the maintenance cost are high due to the fact that a Modbus instrument configuration scheme in the prior art cannot adapt to all types of instruments is solved.

One or more embodiments of the invention provide a component rendering method and device, and the method depends on the slot disassembly of a component, and comprises the steps: obtaining pre-registered customized slot configuration information from a global configuration context when the component triggers the rendering, then specifying a to-be-replaced slot in the customized slot configuration information, and carrying out the replacement of the to-be-replaced slot. On the basis of the corresponding customized rendering logic, the default slot needing to be replaced is replaced by a specified customized slot; and for the slots which are not appointed to be replaced, the original default slots are reserved. And finally, rendering the reserved default slot and the replaced customized slot in combination with the dynamic parameters during the operation of the component to generate the component meeting the scene appeal.

This invention relates to the field of system development technology, and more particularly to a visual low-code platform. A visual low-code platform includes a menu function area, a display area, a function configuration area, and a global configuration bar at the top, all arranged in columns. The platform has a built-in drag-and-drop library for dragging and dropping projects in the display area. It also includes a built-in code generation module and a prototype generation module. The code generation module has preset code generation rules that convert configured data into Vue component code output. Furthermore, the platform has a built-in html2canvas screenshot component that automatically captures content displayed in the display area, converts it into a canvas image, stores the generated image data in the background, and opens the prototype image in a new window when the user needs to generate a prototype. This solves the problems of existing low-code platforms having chaotic UI designs, limited functionality that makes them unusable for non-professionals due to technical barriers, and low utilization rates for professionals who can only implement basic functions.

The invention relates to a dynamic Web application generation method and system based on a multi-level declarative DSL, and belongs to the technical field of Web application. The method comprises the following steps: receiving request data input by a user to determine a target configuration model, and analyzing and generating a tree configuration structure through a multi-stage tree configuration analysis module; the declarative grammar module analyzes the structure to generate multi-level declarative DSL data and constructs a target structured blueprint; the routing metadata conversion algorithm module converts the tree structure into flattened routing metadata and associates the flattened routing metadata with the DSL; the component rendering module analyzes the DSL to generate Web page rendering data and parameter interface data; and the global configuration module analyzes the DSL, determines a page structure relationship, completes initialization setting and generates a target Web application. According to the method, the Web application is dynamically generated through the multi-level declarative DSL, the development complexity is reduced, and the development efficiency and flexibility are improved.

The application discloses a kind of industrial grade 4D video generation system and method based on space-time anchoring and mixed expert parallel, belong to artificial intelligence video generation technical field.System includes eight big modules of global configuration, rigid space-time anchoring, 4D space-time coding and decoding, timing synchronization mixed expert, mass data flow loading, multistage distributed training, real-time inference scheduling, post-processing enhancement;Method is through building multidimensional rigid space-time anchor point tensor to eradicate iterative cumulative error, uses non-recursive 4D convolution to realize video global coding and decoding, uses multi-path mixed expert network to improve model capacity, combined with multistage distributed parallel to break through memory bottleneck, and realizes model hardware resident and multi-path real-time generation at inference end.The application completely solves the problem of timing drift and structure tearing of traditional autoregressive architecture, has the characteristics of high stability, high efficiency and low delay, and is suitable for film-level industrial video intelligent production scene.

The application discloses a configuration file repairing method and device for a CDN system, and the file repairing device comprises a resource management system, a global configuration management center, a detection scheduling module, a regional configuration agent, an edge agent and a task system. Compared with the existing configuration file repairing method, the method of the application completes the collection, comparison and repair of the edge machine configuration file information through the regional configuration agent, and uses a scheduling strategy which comprehensively considers the health value of the regional configuration agent and the optimal route to distribute the edge node detection task to the optimal regional configuration agent, so that the repair efficiency is improved. Meanwhile, the rapid expansion and the elimination of the faulty regional configuration agent can be realized, and the robustness of the system is improved. Furthermore, the configuration file rapid repair in the environment of different networks and cross-networks can be realized by deploying the regional configuration agent to the BGP machine room and the multiple-instance deployment of each region.

The present application relates to the technical field of automatic logic operation connection simulation, in particular to a table-based automatic logic operation connection simulation method, comprising the following steps: a user fills in a structured table containing storage type, logic operation type, and space mapping rule core parameters, the system automatically generates a global configuration ID and initializes default values, and completes template standardization and dependency pre-checking.The present application drives full-process automation through a structured table, realizes seamless connection from requirement definition to signature verification, and only needs to fill in a standardized parameter table, so that the system automatically completes logic model construction, mixed storage configuration, interrupt awareness code generation, and closed-loop optimization, completely eliminates manual coding errors, ensures data consistency through versioned objects and global configuration, reduces resource consumption of traditional general logic operation through lightweight flexible logic units, and improves energy efficiency ratio through dynamic power consumption regulation and key path optimization.

This invention provides a container configuration optimization method and apparatus for ensuring end-to-end latency in a containerized autonomous driving system, relating to the field of autonomous driving technology. The method first models the containerized autonomous driving system, decomposes critical paths into sub-paths and defines temporal attributes, constructs an end-to-end timing model for calculating the worst-case end-to-end latency of critical paths, and establishes a mapping relationship between container configuration parameters and the worst-case response time of sub-paths. Based on this mapping relationship, a container configuration optimization problem is constructed and solved to obtain a container configuration scheme that satisfies end-to-end latency constraints. Through systematic end-to-end timing modeling and global configuration optimization, this invention can ensure that the worst-case end-to-end latency of all critical paths strictly does not exceed their respective deadlines in complex scenarios with strong coupling of multiple task chains and competition for multiple container resources, while minimizing total resource consumption.

The application discloses a particle accelerator operation control method, device, system, equipment and medium, relates to the particle accelerator control technical field, and through the global configuration parameter package as a unified driving source, the multidimensional control subsystem is real-time collaborative scheduling, so that the multidimensional control subsystem independently runs in parallel under the premise of not interfering with each other. Wherein the method comprises: according to the operation plan of the particle accelerator, the global configuration parameter package is generated in advance;Under the driving of the global configuration parameter package, the multidimensional control subsystem is collaboratively scheduled, so that the multidimensional control subsystem independently and in parallel executes corresponding control logic, and obtains parallel output information;Combining the current beam state, the parallel output information of the multidimensional control subsystem is fused to obtain a beam control decision;The beam control decision is issued to the execution equipment, so that the execution equipment triggers corresponding beam control actions according to the beam control decision.

This invention belongs to the field of intelligent cooperative control technology for unmanned aerial vehicles (UAVs), and particularly relates to a method and system for hierarchical cooperative perception task control of UAV formations. The method includes: acquiring current environmental state data of the UAV formation, operational data of each UAV, and current constraint pressure data; generating global configuration commands based on the acquired data; acquiring a set of local commands for each UAV under the joint constraints of the global configuration commands, its own local observation data, and constraint pressure data; acquiring the deviation between the feedback information generated after executing the set of local commands and preset long-term operational constraint indicators, and updating the constraint pressure data; using the updated data as input for the next decision cycle, and returning to the step of generating global configuration commands. By incorporating constraint pressure data into the closed-loop hierarchical decision-making of global and local commands, the stability and adaptability of UAV formation cooperative perception task control in dynamic environments are effectively improved.

The invention discloses a product data management system micro-front-end implementation method and device based on an unbounded framework, a medium and equipment, and belongs to the technical field of product data management system micro-front-end implementation. The method comprises the following steps: acquiring a sub-application required in a to-be-implemented data management system according to a main application of the to-be-implemented data management system; according to the user information and the routing information of the main application and the sub-applications, performing initial configuration on the main application and the sub-applications to obtain the main application of the to-be-implemented data management system and the sub-applications required in the to-be-implemented data management system; and registering routing for the main application and the sub-application to obtain the product data management system based on the unbounded framework. The device, the medium and the equipment can be used for realizing the method. Isolation, communication and cooperative work of a main application and a plurality of sub-applications can be achieved, dynamic loading, preloading, routing management and data transmission of the sub-applications are supported, and meanwhile user identity consistency and global configuration sharing are guaranteed.

The invention discloses an operation control method, device, system and equipment of a particle accelerator and a medium, and relates to the technical field of particle accelerator control. A global configuration parameter packet is used as a unified driving source, and real-time cooperative scheduling is carried out on a multi-dimensional control subsystem; therefore, the multi-dimensional control subsystems can independently run in parallel on the premise of not interfering with each other. The method comprises the following steps: generating a global configuration parameter packet in advance according to an operation plan of the particle accelerator; under the driving of the global configuration parameter packet, carrying out cooperative scheduling on the multi-dimensional control subsystems, so that the multi-dimensional control subsystems are mutually independent and execute corresponding control logics in parallel to obtain parallel output information; in combination with the current beam state, the parallel output information of the multi-dimensional control subsystem is fused to obtain a beam control decision; and issuing the beam control decision to an execution device, so that the execution device triggers a corresponding beam control action according to the beam control decision.

The invention relates to a standardized framework for vehicle management tasks. Embodiments include a method of managing execution of real-time tasks in a multi-core processor system. The method includes instantiating a plurality of task instances, each task instance associated with a task-specific configuration. The method further includes executing, by each task instance, one or more worker threads according to a predefined execution phase. The method further includes invoking a task profile callback associated with each task instance to record task-level performance data during execution, and invoking an intra-task profile callback associated with each worker thread to record intra-task performance data within each execution stage. The method also includes synchronizing, by a global configuration, the task-level performance data and the intra-task performance data to provide a unified profiling of task instances executed across the cores.

The application relates to the cross field of software engineering and artificial intelligence, and in particular to an AI-based test failure root cause analysis and automatic repair method, which constructs a space-time anchored tensor based on multi-modal original data of test failure; the evidence matching degree of a reverse cause-effect chain is calculated in combination with objective evidence, a root cause result is truncated, an initial repair code is matched, a history track is extracted to eliminate pseudo-associated cases to evaluate risks, and a global configuration change with high risk is downgraded to a local private configuration; the influence domain safety degree and a repair cost penalty value are calculated based on real associated cases, and an access evaluation result is obtained through weighted comparison; retesting is performed, if the retesting fails, cross-generation residual features with repaired redundant features are extracted, new data is injected, the above steps are iteratively executed until the fault is eliminated. The application effectively filters out AI deduction illusions and pseudo-associated influences, and improves the accurate positioning and safe self-repairing capability of complex faults.

The invention belongs to the technical field of airborne bus communication in an avionics system, and particularly relates to an end-to-end network bridge device supporting an aviation non-compressed video network. Comprising a global configuration loading module, n communication configuration register modules, n frame receiving ports, n frame input memories, n frame filtering management modules, n flow police management modules, a global route query module, a global route storage module and a global frame buffer module, the system comprises a global switching matrix management module, n priority reset modules, n flow enqueue metering modules, n timer modules based on a global time base, n gating scheduling list storage modules, n gating list scheduling modules, n output port memories, and a multi-service-based time-aware TAS corresponding to each output port, the invention relates to a multi-service scheduler for traffic control type CBS and plug-in transmission type BE services.

The application discloses a function test method and device based on model simulation, equipment and medium, and relates to the field of computer testing. The method comprises the following steps: determining target proxy switch information of a target test function from a preset global configuration variable file; if the target proxy switch information is information indicating that the test switch of the target test function is in an open state, determining a current proxy mode corresponding to the target test function from the preset global configuration variable file; the proxy mode is an information collection mode or an information replacement mode; determining a target model configuration file based on a target test model, and performing function test on a target physical machine by using a target test method in the target model configuration file based on the proxy mode, and then recording the test result of the function test into the target model configuration file. The application enhances the method by the information collection mode and the information replacement mode, so as to achieve the purpose of collecting the method signature parameters and the return result and replacing the return value.

This invention discloses a graph neural network accelerator and device based on topology reconstruction and dynamic early retirement. The graph neural network accelerator includes an interconnected graph preprocessing module and an accelerator body. The graph preprocessing module includes a feature preprocessor, a pruner, a community divider, a topology optimizer, and an encoder to generate optimized graph structure data in ECSR format. The accelerator body includes an aggregation engine, a combination engine, a hierarchical storage unit, and a global configuration controller. The combination engine includes a confidence evaluation unit for evaluating node convergence confidence during graph neural network inference to support dynamic early retirement acceleration. This invention aims to address the low inference efficiency of general-purpose CPUs and GPUs due to the sparse and unstructured hybrid computing characteristics, as well as the shortcomings of existing graph neural network accelerators in topology adaptability, computational resource utilization, and model support, thereby improving the inference efficiency of graph neural network accelerators.

Embodiments include a method of managing execution of real-time tasks in a multicore processor system. The method includes instantiating a plurality of task instances each associated with a task-specific configuration. The method further includes executing, by each task instance, one or more workers according to a predefined execution phase. The method further includes invoking a task-profiling callback associated with each task instance to record task-level performance data during execution, and invoking an intra-task profiling callback associated with each worker to record intra-task performance data within each execution phase. The method further includes synchronizing, by a global configuration, the task-level performance data and the intra-task performance data to provide unified profiling of the task instances executing across the cores.

The embodiment of the invention discloses a multi-project integrated front-end development method and device based on a scaffold. The method comprises the following steps: building a scaffold system based on a preset scaffold tool, and adding a target configuration file for managing each project in a global configuration file of the scaffold system; and when an execution instruction for any item is detected, searching an entry file in an item folder corresponding to the item based on the target configuration file, and performing an execution operation according to the entry file. According to the embodiment of the invention, a plurality of projects can use one scaffold at the same time through a sub-folder management and resource file sharing mechanism, so that the plurality of projects can be centralized in one scaffold system for management, the balance between independence and resource sharing among the projects is realized, and the development efficiency is improved.

The invention discloses a storage unit logic array configuration method, electronic equipment and a storage unit logic array configuration system. The method comprises the following steps: acquiring global configuration parameters from first electronic equipment; wherein the global configuration parameters are used for defining target configuration state parameters suitable for all storage unit logic arrays; based on the global configuration parameter and a local storage resource parameter of the second electronic equipment, determining a local configuration parameter adaptive to the second electronic equipment; the local configuration parameter is used for realizing a target configuration state on the second electronic equipment; wherein the first electronic device and the second electronic device are in a common group, and the first electronic device can communicate with the second electronic device through an out-of-band management system to manage the second electronic device; and configuring a storage unit logic array of the second electronic equipment based on the local configuration parameters.

The invention discloses an electric power screen cabinet monitoring point shooting method, system and device and a storage medium. The method comprises the steps of obtaining selectable monitoring point data, a global configuration holder absolute position and selectable configuration offset of a standard global screen cabinet configuration picture of a target electric power screen cabinet and a local configuration holder absolute position of a standard local screen cabinet configuration picture; based on the optional configuration offset and global and local configuration holder absolute positions, obtaining a configuration distant view rotation proportion; based on the target monitoring point data, globally configuring the absolute position of the holder to obtain a screen cabinet use picture; obtaining a deviation correction angle based on the rotation proportion of the screen cabinet use picture, the standard global screen cabinet configuration picture and the configuration distant view picture; obtaining a close-shot adjustment angle based on the target monitoring point data, the selectable monitoring point data, the selectable configuration offset and the configuration long-shot image rotation proportion; and obtaining a target monitoring point picture based on the local configuration holder absolute position, the correction angle and the close-range adjustment angle. The shooting reliability of the monitoring point of the electric screen cabinet is improved.

The application discloses a virtual machine migration method, device, equipment and medium, and belongs to the technical field of servers. The method comprises the following steps: when OpenStack is required to perform a virtual machine migration operation, a target libvirt container image is acquired; a target computing node for deploying the target libvirt container image is specified in the OpenStack, and it is judged whether the target libvirt container image needs to perform the migration operation by using a national secret algorithm according to a global configuration file; if yes, a central certificate is generated according to the national secret algorithm, and a corresponding relationship between the target computing node and the central certificate is stored into a libvirt pod; a client certificate and a server certificate are generated according to the central certificate, and each certificate is stored into a specified directory, so as to deploy the target libvirt container image on the target computing node. By the method, the safety and reliability of the virtual machine in the migration process can be further ensured.

The invention relates to the technical field of computers, and discloses an SD card system motherboard construction method and device, equipment and a storage medium. The method comprises the following steps: loading a global configuration file and hardware variant configuration through a system boot layer to obtain complete construction configuration; executing initialization operation based on the complete construction configuration through the system guide layer, and constructing a minimum runnable system environment; the execution control layer takes over a subsequent initialization process in a minimum operable system environment, and provides an execution control function; under the control of an execution control layer through an initialization task layer, general system initialization, application service layer initialization, language environment layer initialization, container environment layer initialization and system cleaning optimization are executed in sequence, an optimized system environment is obtained, and the optimized system environment is solidified and exported as an SD card system mother disc mirror image. Through cooperation of the system guide layer, the execution control layer and the initialization task layer, the mother board construction efficiency and quality are remarkably improved.

The embodiment of the invention provides a data sharing method, a vehicle machine system and a vehicle, and the method comprises the steps: responding to a sharing instruction, and obtaining a configuration parameter of the vehicle according to a configuration parameter type in the sharing instruction; processing the configuration parameters based on a preset data structure to generate a shared data packet; generating sharing information corresponding to the sharing data packet based on a sharing mode in the sharing instruction; and performing data sharing according to the sharing information. Through a unified data architecture and an intelligent compatible processing mechanism, seamless migration of vehicle global configuration and cross-vehicle-type adaptive application are realized. A user can quickly switch personalized settings without manually adjusting multiple parameters, so that the operation efficiency is remarkably improved.