55 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 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 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 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 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 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 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 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.

The invention discloses a large model application computing power-model-application break-through method. The break-through method comprises the steps that an application building platform, a knowledge base platform, a large model square, a tool platform and a computing platform are built; designing a loose coupling module; independent life cycle management; the computing power, the model and the application are communicated from bottom to top; isolating a self-built tenant system from a data surface; modularized supply of application functions is realized; and zero-shutdown knowledge updating. The problem that the whole package must be restarted during upgrading in the prior art is solved.

The invention provides a distributed asynchronous communication method and device, computer equipment and a storage medium, and is applied to the field of finance or medical health, and the method comprises the steps that a first entity receives a task instruction, generates or updates an instance file according to preset resource information and the task instruction, and submits the instance file to a shared warehouse, the instance file comprises an expected state field and an observed state field, and the first entity only modifies the expected state field; when monitoring that the shared warehouse is changed, the second entity pulls and analyzes the instance file from the shared warehouse to obtain an analysis result; the second entity generates an execution result after executing the task according to the analysis result, modifies the observation state field according to the execution result, and submits the modified instance file to the shared warehouse; and when the first entity monitors that the shared warehouse is changed, the modified instance file is pulled from the shared warehouse, and an execution result is analyzed and obtained. Cross-network and cross-organization loose coupling asynchronous communication capable of carrying out bidirectional service communication is realized.

The invention discloses an intelligent retrieval method based on industrial intelligence data and electronic equipment, and aims to solve the three problems of high information noise interference, low entity and relationship extraction precision and performance bottleneck caused by tight system coupling in the prior art. According to the system, a modular loose coupling design is adopted, functions such as noise recognition, entity extraction and relation mining are decoupled into independent service units, and cooperation is carried out through a standardized interface. The core is to construct an integrated intelligent processing mechanism, so that noise filtering and semantic analysis share features in a unified framework, collaborative optimization is realized, and error accumulation is avoided while the data quality is improved. The system has high expandability and maintainability, supports independent upgrading of modules and on-demand expansion and contraction of resources, remarkably improves intelligence processing precision and efficiency, and provides high-quality and high-credibility intelligence support for enterprise strategic decision making.

The invention provides a knowledge base management and retrieval system and retrieval method based on VS Code double plug-ins. The knowledge base management and retrieval system comprises an LjCode plug-in and an LjKB plug-in which are independently deployed on a VS Code client, and a Dify platform which provides bottom support. The LjCode plug-in and the LjKB plug-in realize loose coupling collaboration through a VS Code standardized communication interface, and the LjCode plug-in and the LjKB plug-in establish data interaction with a Dify platform through a standardized API (Application Program Interface). According to the method, the LjKB plug-in is configured, the limitation that a traditional auxiliary programming plug-in only completes error correction is broken through, personal knowledge base retrieval and development integration of an integrated development environment are achieved, multi-language multi-format personal base creation and sharing are supported, and the Dify native support format range is expanded; a high-quality vertical built-in knowledge base of various different code languages is built in through an LjCode plug-in, and a bottom layer development scene is covered in a full range; and double plug-ins of the LjCode plug-in and the LjKB plug-in are designed to be loosely coupled and can operate independently or cooperatively, so that secondary development is facilitated.

Disclosed in the present invention is a method for dynamic evolution of a composite service, which belongs to the field of service composition in software engineering, and comprises a composite service dynamic evolution process, a distributed service evolution mechanism and a multi-layer process evolution mechanism. The present invention can dynamically adjust the composite service according to a real-time state of an atomic service under a condition of dynamic change of the service quality of the atomic service, select different candidate services, and avoid falling into a local optimal solution. At the same time, the present invention can dynamically optimize a service process according to the selection of the atomic service under the condition of loose coupling and low constraints, while taking into account the evolution of a single service and the co-evolution of services. Further, in order to reduce the load of the atomic service, the present invention utilizes service performance data generated when the service is actually running, so as to avoid empty requests due to obtaining the service quality information of the atomic service.

The invention relates to the technical field of data processing and intelligent decision making, in particular to a dynamic business decision making system driven by data assets, and solves the problems that the business decision making system has obvious defects, the problem of data islands is serious, cross-department and cross-business data is difficult to fuse to form unified and reusable data assets, and the decision making view angle is one-sided. The method solves the problem that the existing decision-making process is mostly static or semi-static and seriously depends on historical data and preset rules, and an agile response cannot be made to a real-time changing business environment, and comprises a data capitalization layer which is used for being in butt joint with a multi-source heterogeneous data source. According to the method, a unified data capitalization layer and a modularized system architecture are constructed, multi-source heterogeneous data are integrated into standard and reusable high-quality data assets, loose coupling management of features, models and decision-making processes is achieved, the problem of data islands is solved, and the reuse value of the data and the flexible expandability of the system are remarkably improved.

The invention discloses a complex device performance test digital twin system data transmission architecture and method, the architecture comprises a data acquisition upper computer and a digital twin software platform, a data adaptation layer is arranged between the data acquisition upper computer and the digital twin software platform, and the data adaptation layer is formed by packaging design based on a UDP data transmission protocol; the data adaptation layer is used for acquiring physical detection data from a data acquisition upper computer in real time by adopting a UDP (User Datagram Protocol) data transmission protocol, transmitting the physical detection data in a UDP data message format and providing data service for the digital twin software platform as required; and meanwhile, a cyclic redundancy check mechanism check algorithm is adopted to ensure the reliability of the data. A data adaptation layer interface is further designed, the one-to-many relation between a single data object and an application object is defined, and the dynamic loose coupling relation between data and application is established, so that the problem of transmission data coupling of a data acquisition upper computer and a digital twinning software platform of a digital twinning system for a physical test of a complex device is solved.

The invention discloses a fluid-solid-heat intelligent loose coupling method, device, medium and product, and relates to the field of multi-physics field coupling calculation. The method comprises the following steps: constructing an appearance feature difference amplification model and an aerodynamic force intelligent prediction model for the tiny deformation of the aircraft; an aerodynamic heat intelligent prediction model under the variable-configuration variable-incoming-flow condition is constructed based on a local heat wall correction technology; and constructing an intelligent data transmission model oriented to the flow-solid interface non-matched grid. Executing multi-field coupling propulsion of dynamic time step based on the model; predicting aerodynamic force, structural deformation and aerodynamic heat distribution by using an intelligent model; and adaptively adjusting the time step length according to the change degree of the aerodynamic heat environment, if the change exceeds a threshold value, carrying out time domain propulsion by adopting numerical calculation and updating each intelligent model on line, otherwise, directly predicting the next time step by utilizing the intelligent model. According to the method, the coupling step length can be adaptively adjusted according to the change intensity of the physical field, and the calculation efficiency is remarkably improved on the premise of ensuring the precision.