75 results about "Loose coupling" patented technology

The invention discloses a data component encapsulation construction method based on a standardized description model, and provides a new data encapsulation normal form of data components. According to the method, a standardized encapsulation model and a protocol system are constructed around a data component, and the semantics, the structure and the operation of heterogeneous multi-source data are subjected to standardized encapsulation by adopting a unified identifier, metadata, data routing and interface structure; lightweight packaging is carried out based on a JSON format, and a unified access interface is provided through RESTful API, DOIP and other protocols; a Handle system is introduced to realize globally unique data component identification, and dynamic addressing and analysis access of the data component identification are supported; a data component registration publishing mechanism is constructed, metadata registration, index management and identification mapping of the data component are supported, and efficient discovery, acquisition, sharing and integrated utilization of the data component among multiple systems and multiple subjects are ensured. Meanwhile, a component interoperation and scheduling mechanism oriented to a cross-domain circulation scene is provided, and data management is promoted to be transformed into a loose-coupling, autonomous and orchestrable new normal form.

The invention provides a data driving and multi-element cloud edge cooperative computing method for intelligent workshop construction, which comprises the functions of multi-protocol heterogeneous equipment sensing, edge node adaptive load balancing, lightweight real-time edge computing processing, cloud centralized management control, industrial intelligent application service deployment scheduling, cloud edge task unloading and the like. The system comprises a data acquisition and transmission middleware, an edge stream processing engine and a cloud service center. The method has the characteristics of real-time performance, low delay, flexibility, expandability, loose coupling, low resource occupancy, high availability and privacy security.

The invention provides a multi-version dynamically expandable data source method and device, a terminal and a storage medium, and relates to the technical field of database data source loading. The method comprises the steps that a JAVA SDK package is created, the JAVA SDK package comprises core dependence, a core entity class, a core interface class, a database connection pool management core class, thread isolation, a routing data source class and basic attributes and target data source mapping of the routing data source class, and the target data source mapping is used for storing a loaded database connection pool; initializing a system database connection pool in the application system based on a JAVA SDK packet; after a system database connection pool in an application system is initialized, a new database connection pool is dynamically expanded in the application system based on a JAVA SDK package. The system has the design characteristics of strong dynamic expansion capability and loose coupling, the flexibility and expansibility of the system can be greatly improved, and the development and maintenance cost is reduced.

The invention provides a layered architecture system, which comprises an application layer comprising a plurality of applications, and each application is configured with an application rule; the interface layer comprises a plurality of interfaces, and each application rule corresponds to at least one interface; the strategy engine unit is configured to analyze the application rule and call an interface corresponding to the application rule according to an analysis result of the application rule; the service layer comprises a component library, the component library comprises a plurality of components, and each component corresponds to one operation logic; and the flow arrangement unit is configured to set flow standards for the interfaces, and the set flow standards correspond to the corresponding components and the execution sequence of the components. According to the embodiment of the invention, loose coupling of application logic and bottom layer implementation is realized, and the quick response capability and research and development multiplexing capability of application scene change are improved by adopting a mode of configuring application rules.

The invention discloses an intelligent design research and development system based on domestic AI and an implementation method thereof, the system adopts a modular loose coupling architecture, and comprises a front end layer, a middle layer, a core layer, a base layer and a data layer; the front-end layer is a Web front-end interface, and the middle layer is an API gateway layer; the core layer comprises a knowledge graph module, a simulation engine module, a decision center module and a digital twin manager module; the basic layer comprises a system management module, the data layer comprises a multi-layer data storage and communication component, and the method comprises the steps of initializing a system manager, constructing a knowledge graph, executing multi-physics field simulation and evaluating simulation confidence; generating a decision strategy based on reinforcement learning and knowledge graph reasoning; according to the method, digital twin bodies are constructed, virtual-real linkage and real-time data interaction are achieved, domestic AI is comprehensively adopted and comprises a MindSpore framework and an ancient big model, the technology is autonomous and controllable, and the method is suitable for the whole process of power equipment design, inspection and detection and supervision and construction.

The invention relates to a method for realizing one-way dependence of each component of a componentized operating system, which belongs to the technical field of operating systems, and comprises the following steps of: dispersing structure definition and operation of resources to two layers, enabling a lower layer component to be used for defining a basic structure of the resources and managing the state of the basic structure of the resources, and enabling an upper layer component to be used for carrying out various operations on the resources; separating the operation from the structure; the upper-layer component serves as a starting point, target resources are searched and positioned layer by layer from top to bottom, the target resources are operated, the top-down relation is called as a positive direction, default establishment of dependency is achieved, and the upper-layer component depends on the lower-layer component to complete construction, starting and running. According to the invention, the independence and loose coupling among the components are ensured, so that the problems of complexity increase, test difficulty, poor expandability and the like caused by cyclic dependence are avoided.

The invention discloses a dynamic self-verification method based on service flow-test flow homologous heterogeneous execution. The method comprises the following steps: uniformly describing service logic and a corresponding interface test contract through a strong type of domain specific language (DSL); the method comprises the following steps: simultaneously compiling homologous DSL descriptions into stateful business workflows executed by a process engine and stateless and combinable atomic test contract sets called by a test executor by utilizing a double-path compiling engine; during operation, loose coupling synchronous triggering and execution of a service flow and a test flow are realized based on a high-throughput event bus, and real-time and high-fidelity contract verification, performance monitoring and chaos probe testing are performed on cross-system interface calling in a production environment. According to the invention, the traditional post-event and off-line integration test is converted into the in-event, on-line and continuous system endogenous capability, and the industrial problems that the complex enterprise system group integration test is difficult and the operation and maintenance monitoring is passive are effectively solved.

The invention provides a heterogeneous resource integration system for data element processing, and the system comprises a resource unit which fuses data resources, algorithm resources, model resources and application resources, calls corresponding resources according to a resource list, and gives a task result; the resource classification unit comprises an association network structure of association relationships among data resources, algorithm resources, model resources and application resources in a plurality of typical application scenarios; the resource recommendation unit is used for generating a resource list according to the task data and the associated network structure; and the resource application unit receives the task data and outputs a task result. According to the method, different data resources, algorithm resources, model resources and application resources can be independently and flexibly called, loose coupling between the data resources and the algorithm resources and loose coupling between the model resources and the application resources are achieved, the data resources and application scenes are flexibly expanded, and rapid construction and timely response of the application scenes during sudden tasks are achieved.

The present application relates to a loosely coupled federal system alignment method, device, equipment and storage medium. The loosely coupled federal system alignment method comprises: in each state transition process of the federal system, state alignment is performed according to a pre-selected federal member benchmark state; when aligning the benchmark state, the state section of each attribute state of each federal member in the federal system is determined according to a pre-built federal system state space model. The present application selects a certain state of a federal member as a comparison benchmark. Under this state alignment, other attribute states of the federal members are calculated and compared to approximate the continuous system behavior. Compared with the clock alignment method, selecting a benchmark state with actual physical significance for alignment is more in line with actual engineering applications. At the same time, it effectively overcomes the shortcomings of the existing clock alignment method based on a single time variable that cannot fully and flexibly explain the evolution of the behavior of the loosely coupled federal system.

The invention discloses an application software architecture for encapsulating a task management and synchronization mechanism of an operating system, and belongs to the technical field of industrial real-time control. According to the architecture, an operating system task management and synchronization mechanism is modularly packaged into three types of objects: an employee type for packaging specific business execution logic; the pipeline class is used for packaging inter-task communication and synchronization functions; and the behavior class is used for packaging an operating system task entity and is responsible for scheduling employee objects contained in the behavior class to be executed orderly. The three types of objects are created, assembled and started through a factory mode according to configuration information to form a complete real-time task system. According to the method, through object-oriented packaging and configuration assembly, the problems of tight task coupling and difficult code maintenance in traditional process-oriented programming are solved, loose coupling and high cohesion among task modules are realized, the configurability, maintainability and expandability of industrial real-time software are remarkably improved, and the method is suitable for various real-time operating system environments.

The invention discloses a loose coupling unified task arrangement method supporting multi-dimensional expansion, which comprises the following steps of: firstly, defining a transmission agreement of task arrangement: constructing a unified intermediate representation structure for describing an arrangement process, the intermediate representation structure being used for recording a process topological structure, a node type and parameter configuration; secondly, on the basis of the intermediate representation structure, an executable directed acyclic graph is automatically constructed by adopting a child node matching construction algorithm based on queues and backtracking; and thirdly, executing an arrangement process based on the constructed directed acyclic graph: starting from all write nodes, recursively calling a data processing method of a father node until reaching a read node, and executing a complete data processing link in a bottom-up manner. Through a unified intermediate representation structure and a queue backtracking matching algorithm, automatic topology construction and dependency management of a complex process are realized, flexible expansion of node types is supported, development complexity is reduced, and adaptability, efficiency and maintainability of a data management system are improved.

The application is specifically a DPI shunt device rule management system and method, the system comprising: a service configuration table, wherein each service configuration item has a unique service ID; a rule configuration table, wherein each rule configuration item has a unique rule ID; a rule hash table, which quickly retrieves the rule ID by hashing the rule matching content; a policy control server, which issues service configurations to the DPI shunt device through a remote procedure call (RPC) interface, and the DPI shunt device splits the service configurations into one or more rule configurations according to a splitting algorithm; and a Redis database, which is used to persistently store the contents of the service configuration table, the rule configuration table and the rule hash table. The application has the advantages that: the table items of each management module are designed to be loosely coupled, allowing them to be independently developed and debugged; and the dual-ID management mode has good scalability and can be compatible with traditional single-ID rule management systems.

The present invention discloses a method, system, device and storage medium for asynchronous federated learning with front-end and back-end separation, wherein the method comprises: according to the service to be trained, the service user sends service request information to the back-end; the service request information received by the back-end is pushed to the system manager; the system manager sets the global training strategy of the task to be executed corresponding to the service to be trained, and sends the global training strategy to the back-end, and the back-end starts the asynchronous federated learning of the task to be executed; the back-end sends a training notification to the training participants; the training participants train the local model and upload the trained local model to the back-end; the back-end generates a global model according to the received local model, and evaluates the global model; when the evaluation is passed, the back-end updates the use status of the service to be trained, and returns the updated use status to the service user. The front-end and back-end of the asynchronous federated learning system proposed in the embodiment of the present application are relatively independent and loosely coupled, which can effectively improve the compatibility of the system.

The invention relates to the technical field of data processing, and provides a multi-protocol data acquisition method and device, electronic equipment and a readable storage medium. The method comprises the following steps: firstly, sending a first driving request to an independently running acquisition driver for discovering an acquisition driver configured in an acquisition scheduling framework; then receiving driving protocol information sent by the acquisition driver based on the first driving request; in response to a received task request sent by the acquisition driver, issuing task metadata in a target structured format to the acquisition driver according to the driver protocol information; and finally, receiving the acquisition data of the target structured format acquired by the acquisition driver based on task metadata acquisition. The protocol compatibility of the data acquisition system can be improved, loose coupling of the data acquisition system is realized, the expandability of the system is improved, the maintenance cost of the system is reduced, and the reliability of the whole acquisition system is improved.

The present invention provides a rapid development framework and method for inventory management software of process manufacturing enterprises. The development framework includes an interface layer, a service layer, and a data layer. The interface layer has built-in basic components, the service layer has a built-in microservice architecture, and the data layer includes a MySQL database and an object model management module. Both the basic components and the microservice architecture access the database through the object model management module. The development method includes: inventory management business analysis of process manufacturing enterprises, data modeling, rapid construction of the interface, and rapid construction of the business process model. The present invention uses a microservice architecture to make the inside of the development framework loosely coupled, distinguishes the front-end interface logic from the back-end process business logic, and improves the flexibility and scalability of the development framework through a development method of drag-and-drop and attribute configuration, effectively reducing the software development difficulty, development cost, and development technical threshold of inventory management in process manufacturing enterprises.

This invention relates to the field of artificial intelligence compiler technology, and discloses a method and system for rewriting heterogeneous partitioning of neural networks based on graph intermediate representation. The method includes: obtaining the intermediate representation of the high-level computational graph of the neural network, the hardware configuration of the heterogeneous hardware platform, and the description of the heterogeneous backend devices; extracting subgraph nodes and tensor edges of core operators from the intermediate representation of the high-level computational graph; constructing a cost model based on the hardware configuration; solving the heterogeneous backend device allocation result for each subgraph node; rewriting the allocation result back to the intermediate representation of the high-level computational graph in the form of attributes; generating a wrapper function marked with heterogeneous backend devices; and rewriting the computational graph structure inside the target forward function. This invention realizes hardware-aware graph-level automatic partitioning, tightly coupling the partitioning result with the high-level IR, and connecting to backend code generation through a unified wrapper function interface, solving the problems of existing technologies that rely on static rules, lack quantitative cost models, and have loose coupling between partitioning results and backend calls.

The embodiment of the application discloses a FPGA matrix transposition method and device based on AXI protocol. In the field of data transposition for SAR imaging processing on satellite, the AXI protocol is used, and a mixed coupling scheme combining a loose coupling scheme and a tight coupling scheme is proposed to reduce resource usage in the matrix transposition process. The mixed coupling scheme combines external storage of the tight coupling and internal transposition of the loose coupling, and more storage space is used than the tight coupling, but the mixed coupling scheme is suitable for a larger image size like the loose coupling scheme. Compared with the loose coupling scheme, the mixed coupling scheme reduces the cache resources, so that the limited cache resources improve more efficiency. In the actual application process, the mixed coupling scheme has certain adaptability.

The invention provides a hybrid solving method for a computational fluid mechanics software structure solver, which comprises the following steps of: judging whether some model equations adopt a loose coupling processing method or not, appointing that the number of conservations is equal to tight coupling conservations, and then carrying out loop iteration solving on grid blocks one by one, the tight coupling equation set and the loose coupling equation set are solved in sequence, and then the loose coupling conservation quantity and the tight coupling conservation quantity are combined until iterative solution of all the grid blocks is completed. According to the method disclosed by the invention, tight coupling and loose coupling architectures are simultaneously realized under a data structure, and the solution precision, the solution efficiency and the software expansibility can be simultaneously considered by software.

The invention discloses a development assistance system and method based on full-front-end isolation packaging. The development assistance system comprises an application server module, a configuration client interface module, a debugging plug-in overlay interface module and a middleware core library module. The method and the system have the advantages that the method and the system are constructed on the basis of a plug-in system, interface service is separated from a front-end interface according to the design principle of strong cohesion and loose coupling, and the method and the system are capable of embedding expansion capacity through a vitite plug-in, quick in starting, light in weight and close to developers. According to the method and the system, overlay debugging and independent interface configuration during development are supported, the method and the system are fused to a development process of developers, atomicity, portability and integrity of front-end service development are embodied, front-end secondary development experience and efficiency can be effectively improved, and front-end and rear-end joint debugging difficulty is reduced.

The application provides a data transmission system and method, belonging to the technical field of data transmission, the system comprising a service layer interface, a message middleware and a distributed intelligent agent network; the message middleware communicates with the service layer interface through an application programming interface, and communicates with each intelligent agent in the distributed intelligent agent network through a standard protocol, and provides event publishing and task subscription services for each intelligent agent in the distributed intelligent agent network through an event bus; the distributed intelligent agent network comprises a decision module, and different decision intelligent agent modules in the decision module are used for executing different steps in a transmission strategy generation process of a data transmission task. The application sets the message middleware between the service layer interface and the distributed intelligent agent network, and realizes loose coupling cooperation between intelligent agents through a message driving mechanism and a standardized protocol of the message middleware, thereby solving the single-point performance bottleneck problem of centralized architecture design and the problem of non-uniform data exchange interfaces.

A device transmits, from an overlay service controller associated with an overlay network to an underlay service controller associated with an underlay network and via a semantic structure defined for a service usage API, a request for a service offered by the underlay network. A device may receive, at the overlay service controller, from the underlay service controller and via the service usage API, attachment metadata. A device may map, based on the attachment metadata and via the overlay service controller, an overlay network tunnel to the service in the underlay network to generate an overlay tunnel mapping, wherein the overlay service controller does not have knowledge of details about implementing the service in order to enable the overlay network to consume the service offered by the underlay network. A device may communicate tunneled packets from the overlay network to the underlay network via the overlay tunnel mapping.

The invention discloses a multi-enterprise loose coupling MDP Lagrange collaborative optimization system and method, and belongs to the technical field of port supply chain collaborative scheduling. According to the method, an optimization framework combining LC-MDP sub-models, Lagrange relaxation and a global coordination function C is adopted, cross-enterprise services are decomposed into a plurality of LC-MDP sub-models capable of being solved independently, global constraints are processed through Lagrange relaxation, multipliers are iteratively updated, strategy fusion and conflict resolution are achieved by means of the global coordination function C, and therefore the cross-enterprise services are obtained. And dynamically adapting the supply chain disturbance in combination with a three-layer architecture and a feedback mechanism. According to the invention, extensible collaborative optimization of large-scale multi-enterprise business is realized, distributed training and real-time scheduling are supported, the problems of resource conflicts and dynamic decision making are effectively solved, and supply chain collaborative efficiency and stability are improved.

The present application relates to a memory-enhanced deep personalized input method system based on end-side large language model, and belongs to the technical field of artificial intelligence. The present application solves the problems of the prior art, such as the loose coupling of the model and the input core process, the shallow personalization mechanism, the delay and privacy risk caused by cloud deployment, and the insufficient efficiency of the end-side operation that cannot meet the real-time input requirements. The system includes a front-end real-time interaction module, a stylized large model post-training module, a hierarchical memory mechanism module, and an end-side reasoning optimization module. The present application can realize low-delay real-time text generation under the condition of highly limited mobile terminal resources, and at the same time, through continuous modeling of user input behavior, it can complete deep personalization adaptation and ensure the end-side retention and privacy security of user input data throughout the process.

The invention discloses an information communication major examiner management assessment system, which relates to the field of management assessment systems and comprises a system management module, a question bank management module, a registration management module, an examination management module, an institution management module and a portal website module which are based on a J2EE technology platform and are in loose coupling connection. A main code of each module is developed by adopting a Java programming language and a server Java technology; the information communication professional examiner management assessment system adopts a B / S multi-layer system structure, and is operated and developed based on an MVC three-layer architecture of a background database. The method can improve the assessment efficiency, reduces the management work intensity of an evaluator, and improves the reliability of an assessment result.

The present disclosure relates to the technical field of enterprise collaborative office management, in particular to a data collaboration method and device based on a unified state diagram, which generates a task skeleton corresponding to a document directory structure by analyzing structured directory information of a to-be-processed document, and constructs a unified state diagram containing a content anchor point identifier, a task state identifier, a permission state identifier and a knowledge context field based on the task skeleton, so that the directory position, the task processing state, the permission control state and the related knowledge context in the document can be associated and expressed in the same state node, thereby making the collaborative processing process no longer simply rely on manual synchronization or loose coupling interface association between a document system, a task system or a knowledge base system, and improving the consistency, linkage and traceability between multiple types of collaborative states.

The invention discloses a multi-agent collaborative industrial artificial intelligence algorithm evaluation system and method, and aims to solve the problems of disordered evaluation process, insufficient compliance guarantee and poor system expansibility in the prior art. The system adopts a six-level layered architecture, the core is a navigation agent, and the navigation agent monitors the task state in a global data layer, performs dual verification in combination with national standard rules, and schedules data division, script writing, algorithm parameter adjustment, report generation and other special agents for sequential execution only when the state is compliant. And each agent interacts through the standardized JSON and calls a tool based on MCP packaging. According to the invention, automation, ordering and national standard compliance of the evaluation process are realized, flexible expansion is supported through loose coupling design, and comparability and traceability of the evaluation result are guaranteed.

The invention relates to the technical field of computers, and discloses a component-based business system, a business processing method, equipment and a storage medium, the business system comprises a first component, a second component and a third component; the third component is connected with the second component and is used for sending notification information for starting the business service to the second component; the second component is connected with the first component, and is used for inputting service content to the first component after receiving the notification information, calling a target interface exposed by the first component, and outputting a processing result according to a processing logic realized by the target interface based on the service content and the service content; and the second component is connected with the third component and is used for returning the processing result to the third component. According to the method, responsibilities of all parts of the business system are strictly standardized, the problems of scattered code distribution and repeated codes can be avoided, meanwhile, through an interface-based component interaction mode, each component can be easily changed or replaced, loose coupling is achieved, and the system is high in universality and easy to expand.

The invention discloses a parallel simulation construction and operation method for complex scene multi-domain loose coupling segmentation, and belongs to the field of combat simulation, and the method comprises the following steps: 1, starting a scenario editing tool, editing a complex scene scenario file, dividing scenario entities into different combat domains based on combat domain loose coupling segmentation, enabling each combat domain only to have less interaction, and enabling each combat domain to have less interaction; storing the scenario file; 2, setting a multi-domain interaction message, defining a message structural body in a multi-domain interaction middleware MDI, and adding a message sending function and a message processing function in a related Agent; thirdly, starting a scenario operation monitoring tool, opening a complex scene scenario file, and distributing one or more operation nodes for each combat area; fourthly, complex scene scenario operation is started, synchronous operation is achieved based on multi-node and multi-domain simulation, and message transmission among multiple domains is transmitted through MDI. According to the invention, the simulation calculation amount and the communication requirement of each simulation node are reduced, so that the simulation realization of a multi-node complex scene has operability.

The invention discloses a log management system for a data acquisition device of an energy storage system, which innovatively separates log generation from log processing, realizes loose coupling design of log file generation, processing and communication, greatly improves the flexibility of system design, and effectively overcomes many defects caused by coupling in a traditional log management mode. A timed log pushing mechanism is adopted to replace a traditional mode of storing a large amount of data at the side end, so that the pressure of a storage medium of side end equipment is remarkably reduced, the service life of the storage medium is prolonged, the equipment failure risk is reduced, and the equipment performance is powerfully optimized; the loose coupling design of log storage and management and the micro-service architecture of log management service ensure the smoothness of communication. Through sharing the log query interface, the participation degree of three-party cloud application software development is reduced, the development communication cost and the workload of personnel are greatly reduced, and the development efficiency and the economic benefit of the system are improved.

The invention belongs to the technical field of simulation system design, and particularly provides a system logic and execution script loose coupling simulation method and system.The system comprises a system logic unit and a training subject process configuration file which are designed on the system architecture level; the training subject process configuration file is a tree-shaped process structure data file, the steps of the training subject process file are mutually restricted or restricted, and the data comprises training subject process and non-process business data, scene data, system integration data and user customized data; the system logic unit obtains data of the training subject process configuration file and processes the obtained data to achieve physical modeling and simulation, data analysis and visualization, resource management and user interface display. By decoupling the system logic and the training subject process file, a complex system requirement involving subject process content can be met. And the development efficiency of the system is improved.