57 results about "Applications architecture" patented technology

The invention belongs to the technical field of power resource optimization, and particularly relates to a power supply station service architecture optimization method based on digital power grid construction achievements, which comprises the following steps: investigating power supply station service requirements, constructing a power supply station service architecture, and determining a power supply station application architecture; an intelligent Internet of Things terminal operation system based on an electric power gap base and a platformization solution are introduced into the application architecture, and a platformization and perception fused service operation system is constructed; core technologies such as an AI large model, a high-perception terminal, a security authentication mechanism and a 5G slicing network are introduced into asset management, production management, resource management and technical management, and an integrated service execution system with intelligent perception, efficient cooperation, security, credibility and standardized operation is constructed. According to the invention, the problems of scattered architecture, slow response, weak cooperative capability and the like in a traditional power grid system are solved, and reliable support and a technical path are provided for efficient, safe and intelligent development of a power grid.

The invention provides an intelligent system development method and device based on a large model. Receiving an original demand input by a user, and carrying out demand clarification and improvement through a multi-round dialogue reinforcement learning mechanism; synchronously generating a user story, an application architecture model, an executable code and a test case based on the improved original demand; constructing a three-dimensional task scheduling model and dynamic optimization of a retrograde development plan according to the generated development elements; running static risk mode detection and dynamic progress risk prediction in parallel in a development full cycle; and when the project is finished, automatically executing a knowledge distillation process, and carrying out vectorization storage and model iteration of development experience. According to the embodiment of the invention, the intelligent level of software development is improved, and the development efficiency is improved, the quality risk is controllable and the knowledge is continuously evolved by establishing the full-link digital twinning of demand-design-development-test-operation and maintenance.

The invention relates to the technical field of audio program control, and discloses a software control method, system and equipment based on plug-in DSP audio. The software control method is applied to the electronic equipment and specifically comprises the following steps: S101, receiving a definition request of a base class PluginBase, requesting to define the base class PluginBase of an abstract plug-in and declaring a plug-in characteristic parameter method, inheriting the PluginBase and realizing an abstract method of the PluginBase when a specific audio plug-in is developed, compiling each plug-in into an independent DLL (Dynamic Link Library), and by adding a [ExportAttribute] characteristic to the main interface class of the plug-in, marking the main interface class of the plug-in as an export module, and completing plug-in function packaging. The invention provides a plug-in type DSP audio control application architecture thought, so that different DSP audio control software is integrated on a software platform, a new equipment control software module can be subsequently used as a plug-in and integrated on the software platform, the effect that all equipment of one set of software is controllable is achieved, and the software expansibility is good.

The invention discloses a smart community equipment management system, and relates to the field of community equipment management systems, the system adopts a layered architecture, and specifically comprises an access control system, a parking space distribution system, a processing architecture and an application architecture; the access control system is connected with the processing framework through the transmission framework and realizes data sharing; the parking space distribution system distributes a public parking space for the vehicle after the access control system reads the license plate; the processing architecture comprises a central control server; the application architecture comprises a parking distribution system, a vehicle guiding module and an elevator calling module, the space topology algorithm is cooperated with the Internet of Things, access control, parking lots, elevators and all monitoring devices distributed in a community are integrated, mutual cooperation through community devices is completed, and on the premise of network connection, the parking space of the parking lot is optimized, and the service life of the parking lot is prolonged. Seamless connection from vehicle entrance to elevator connection is achieved, the system enables vehicle owners to park home faster and more conveniently, and property management is more efficient and saves money.

The invention discloses a building cluster cloud-edge collaborative optimization control method and device and an application architecture. The architecture comprises an edge device, a radio frequency communication LoRa module and a cloud platform. The edge device and the cloud platform realize cloud edge two-way communication through the LoRa module; the edge device comprises a sensing layer, an edge calculation core and a control layer and is used for collecting real-time building data, executing a local model predictive control algorithm MPC based on a building thermodynamics RC model and generating an optimal control instruction to drive air conditioning equipment; the cloud platform comprises a network service interface module, an optimization algorithm module and a data storage system and is used for operating a global coordination algorithm based on an alternating direction multiplier method (ADMM) and generating differentiated price signals; the edge device uploads data such as power requirements to the cloud platform, the cloud platform issues differential excitation signals to the edge device, and the edge device and the cloud platform perform collaborative iteration. According to the invention, distributed optimization control of the building cluster is realized through cloud-side cooperation, and the value of the building cluster as a power grid flexible resource is significantly improved.

A system includes a memory configured to store a set of application environment parameters associated with a software application of a plurality of software applications. The system further includes processors for accessing the set of application environment parameters associated with the software application, identifying, based on the set of application environment parameters, a plurality of potential threats and vulnerabilities associated with an execution of the software application in accordance with the current configuration, and executing one or more generative machine-learning models trained to generate a prediction of one or more cyber threat scenarios based on the set of application environment parameters and the plurality of potential threats and vulnerabilities. The prediction of the one or more cyber threat scenarios includes cyber threat scenarios specific to the software application. The processors further output, by the one or more generative machine-learning models, the prediction of the one or more cyber threat scenarios.

A system includes a memory configured to store a set of application environment parameters associated with a software application of a plurality of software applications. The system further includes processors for accessing the set of application environment parameters associated with the software application, identifying, based on the set of application environment parameters, a plurality of potential threats and vulnerabilities associated with an execution of the software application in accordance with the current configuration, and executing one or more generative machine-learning models trained to generate a prediction of one or more cyber threat scenarios based on the set of application environment parameters and the plurality of potential threats and vulnerabilities. The prediction of the one or more cyber threat scenarios includes cyber threat scenarios specific to the software application. The processors further output, by the one or more generative machine-learning models, the prediction of the one or more cyber threat scenarios.

A system for a website building system (WBS) includes a component analysis and visualization (CCAV) module to analyze elements of an underlying application built using the WBS and to generate a visual system architecture diagram (SAD) representing the hierarchical arrangement of the elements. The CCAV module includes a site object build engine to gather and analyze information on the elements and to create a site object representation, a software bill of materials builder to create a software bill of materials from the site object consisting at least of assets and configuration data for the underlying application and a SAD renderer to create and display the SAD where the SAD includes a static application architecture diagram representing the at least assets and configuration data and an aggregated application architecture diagram showing an overlay of at least one of: software, hardware usage, and business data changes affecting the underlying application.

The embodiment of the invention provides a framework optimization design method and system based on an enterprise digital application project, and belongs to the technical field of application frameworks. The method comprises the following steps: recycling an architecture design demand confirmed by a user, and generating demand specification information based on the architecture design demand; identifying each data report based on the demand specification information to obtain an identification result; determining aggregation roots based on the identification result, and classifying the aggregation roots to obtain an aggregation root set of each architecture layer; and correspondingly constructing each architecture layer based on the aggregation root set of each architecture layer, and allocating a corresponding service processing rule to each architecture layer. According to the scheme, complex business logic can be better centralized and managed, the maintainability and expansibility of the system are improved, and the defects of a traditional MVC architecture in complex projects are overcome.

Disclosed herein is an agent-first application architecture that facilitates intelligent, metadata-driven interactions across distributed computing environments. The system comprises a Metadata Repository, which defines communication policies, interaction rules, and contextual parameters. An Agent Orchestration Layer governs autonomous software agents, dynamically managing their lifecycle, task delegation, and execution logic. A Self-Learning Engine continuously refines agent decision-making models through real-time metadata updates and adaptive learning mechanisms. The system further incorporates an Event-Driven Middleware, which enables real-time, event-triggered execution of agent actions, ensuring adaptive, scalable, and autonomous decision-making across complex multi-system environments. By eliminating rigid API dependencies and leveraging metadata-centric intelligence, the architecture enhances cross-system interoperability, resilience, and adaptability. The invention is particularly suited for dynamic, multi-agent ecosystems requiring real-time adaptability, self-optimization, and intelligent orchestration of system interactions.

The invention discloses an application assembling method and device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: constructing a main application architecture based on layout position information and explicit and implicit information corresponding to a to-be-laid functional component; obtaining menu configuration data, and binding the menu configuration data with the main application architecture; when binding is completed, receiving an application assembly request triggered based on the application assembly page, and determining function menu configuration information of the to-be-assembled application based on the application assembly request; and performing information configuration on the to-be-assembled application based on the function menu configuration information to generate an assembled application. According to the invention, when the menu configuration data and the main application architecture are bound, information configuration can be performed on the to-be-assembled application based on the function menu configuration information of the to-be-assembled application to generate the assembled application, so that the problem that an application assembling method in the prior art lacks in-depth design of a service architecture is solved; and the flexibility and the efficiency of application assembly are not high.

A method, apparatus and device for supporting integration of a single application and a micro-service application, and a computer readable storage medium, the method comprising: constructing a universal interface for providing a unified abstract service description to support interaction of a single application architecture and a micro-service application architecture; a target implementation mode is determined according to the configuration information, and the target implementation mode comprises local implementation and remote implementation; a client request is received through an adapter, and the adapter maps the client request to a corresponding implementation class according to the target implementation mode; the execution process accesses the corresponding data storage or remote service according to the target implementation mode, so that the technical problem that a single application and a micro-service application are difficult to seamlessly integrate and switch due to the fact that the single application and the micro-service application use different interface designs and communication modes in related technologies is solved; and integration and switching between the single application architecture and the micro-service application architecture are realized.

The invention discloses an enterprise-level architecture modeling and layer-by-layer decomposition method based on a unified meta-model, which comprises the following steps: constructing the unified meta-model covering business architecture, data architecture, application architecture, technical architecture and security architecture domains, including defining core element types and cross-domain association relationship types of each architecture domain; according to the unified meta-model, enterprise-level overall architecture modeling is carried out, and an enterprise-level architecture asset library including multi-architecture-domain standard assets and dependency relationships thereof is generated; and step-by-step architecture decomposition design is carried out on a project to be implemented based on the unified meta-model and the enterprise-level architecture asset library, and a project-level architecture blueprint aligned with the overall architecture, a refined project demand specification and a landing technology design scheme are sequentially output. Through a unified meta-model and a layer-by-layer decomposition tracing mechanism, the problem of disjunction of semantic segmentation and strategic execution in cross-domain architecture modeling is solved, and collaboration, alignment and controllability of cross-domain architecture design are achieved.

Various embodiments provide systems, methods, devices, and instructions for protected data use in a third-party software application, where use can be enabled while maintaining protection of the protected data from the third party software application. In particular, various embodiments provide a software application architecture that permits a data party that owns or maintains protected data to support a software development ecosystem where a third-party can develop a third-party software application that uses the protected data while denying the third-party access to the protected data.

The application discloses a kind of chaotic test method, device, electronic equipment and storage medium.The chaotic test method includes: obtaining the basic information of each node in the system to be tested;System application architecture diagram is generated based on the basic information;According to the system application architecture diagram, determine the target fault node on the system application architecture diagram, the target fault node is the node to be executed fault;Determine the test execution information of the target fault node;According to the test execution information, the chaotic test is carried out to the system to be tested.The above technical solution, the basic information of each node in the system to be tested is used to generate system application architecture diagram, and then the target fault node is determined according to the system application architecture diagram, and the chaotic test is carried out to the system to be tested according to the test execution information of the target fault node, without the need for test personnel to input the corresponding command of chaotic test to carry out chaotic test, and the chaotic test can be made more systematic by generating system application architecture diagram.

The invention relates to the technical field of digital architectures, in particular to a management and control method for a power grid digital architecture. The method comprises the following steps: acquiring application architecture current situation data and data architecture current situation data; performing application group planning design based on the current situation data of the application architecture to obtain blueprint data of the application architecture; performing data class, data sub-domain and conceptual entity structured design based on the data architecture current situation data to obtain data architecture blueprint data; acquiring technical architecture current situation data and security architecture current situation data; and constructing a technical component mapping relation based on the technical architecture current situation data, the application architecture blueprint data and the data architecture blueprint data to obtain technical architecture blueprint data. Through matching of architecture design and business requirements and optimization of technology and safety, accurate and efficient management can be realized in digital architecture construction, flexible response of business reform is ensured, and intelligent management and control and sustainable innovation are promoted through continuous optimization.

The invention relates to the technical field of cloud computing, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an application architecture resource optimization method, device, equipment and medium, and the method comprises the steps: obtaining operation data of a service component in an application architecture, and extracting load features to generate a load feature vector table; training and generating a load prediction model based on the load feature vector table, and initializing a scaling strategy set; acquiring real-time operation data, generating a scaling decision based on the real-time data and the scaling strategy set through the load prediction model, and forming a scaling instruction set; scheduling the infrastructure layer to execute the scalable instruction set to adjust the resource configuration; and analyzing the adjusted performance index and the resource utilization rate, generating a strategy analysis report, and updating the load prediction model and the scaling strategy set. According to the method, an adaptive optimization closed loop is constructed through load prediction and strategy feedback, real-time load-driven resource dynamic adjustment is realized, and the resource utilization rate and architecture flexibility are improved while the system performance is guaranteed.

The present invention relates to an architecture of an extended application (xApp) performed in an NRT radio intelligent controller (RIC) of an open radio access network (O-RAN), and a method for implementing the xApp. The method by which the RIC executes the xApp in the O-RAN may comprise an operation of sequentially executing, from an initial rule of the rule chain, the xApp composed of a rule chain in which a plurality of rules are connected to each other in a chain form, wherein the rule can include: a rule identifier capable of distinguishing the rule from other rules; an event block that defines a condition for starting the execution of the rule; an action block for defining a function that the rule should execute; and an output block for defining an output that should be output after the rule is executed.

The invention provides a virtual power plant unified operation platform architecture comprising a service architecture cooperating with a first network platform and a second network platform; the technical architecture is based on distributed micro-service and adopts modular configuration to support decoupling development and deployment of different service functions; the data architecture comprises a distributed storage framework, a computing framework and a data encryption framework; the application architecture is provided with a plurality of functional modules supporting terminal access, and the functions of the plurality of functional modules relate to the fields of resource management, scheduling optimization, transaction management and user service; deploying an integrated architecture, which is centrally deployed in an environment in which private cloud and public cloud are combined, and is used for providing computing power by using edge computing node equipment, supporting containerization and automatic operation and maintenance, and realizing rapid expansion and dynamic deployment; and the bus architecture is respectively connected with the service architecture, the technical architecture, the data architecture, the application architecture and the deployment integration architecture and is used for realizing data interaction among different architectures.

This invention discloses a database system for the mechanical, thermal, and moisture properties of C / C honeycomb sandwich structures and its collaborative optimization design method, belonging to the field of digital design and manufacturing technology for high-performance composite materials. The database system adopts a three-layer desktop application architecture: a data access layer for data persistence and transaction management; a core business layer based on Python for data processing, user authentication, and core logic encapsulation; and a front-end interaction layer providing guided data entry, multi-dimensional querying, statistical analysis visualization, and interactive detail preview functions. The collaborative optimization design method comprises four steps: data entry and database construction, pattern mining and sensitivity analysis, construction and verification of a multi-scale prediction model, and automatic optimization by combining sensitive parameters and the model. This invention breaks down data silos, improves design efficiency and prediction accuracy, and shortens the development cycle of spacecraft structures.

The invention discloses a complex scene link generation method for fusing a monomer and a micro-service application architecture, and relates to the technical field of intelligent operation and maintenance system data processing, and the method comprises the steps: constructing a micro-service architecture call chain based on log data, and constructing a mixed call chain by fusing a monomer architecture log, and fusing the characteristics of a micro-service architecture and a monomer architecture. The call log information under the two different architectures is organically combined by adding the call ID on the F5ID, which also conforms to the reality that most enterprises have the two architectures at present. According to the method, the defect that a method for constructing a call chain under a single monomer architecture or a single micro-service architecture cannot cover a whole monitoring range is overcome, the monitoring range of the call chain can be expanded, a foundation is laid for subsequent enterprise data analysis, root cause analysis of call chain tracking, fault self-recovery and other requirements, and improvement of enterprise efficiency is facilitated.

The invention provides a multi-level management and control method and system based on an extensible application architecture, and the method comprises the steps: obtaining a system target list based on an existing application platform in a target enterprise; based on the system target list and a hierarchical modeling method, constructing a target architecture model corresponding to each service function in an application platform; according to the target architecture model, constructing target blueprint data corresponding to the target enterprise; obtaining a system current situation list of each sub-department in the target enterprise, comparing the system current situation list with the target blueprint data, and obtaining a gap list between the system current situation list and the target blueprint data; and based on the gap list, generating application platform control adjustment recommendation information corresponding to the target enterprise. According to the invention, the repeated construction rate of applications is reduced and the data intercommunication efficiency is improved.

The invention discloses a Switch chip architecture supporting OCP OAM, and relates to the field of computer network and high-speed interconnection chip design. The architecture comprises at least one G-Link interface, a PCIe host interface, seven custom interfaces and a set of unified protocol stack architecture, wherein the G-Link interface is used for connecting a GPU / AI accelerator and is compatible with a PCIe protocol; the PCIe host interface conforms to an OAM (Operation Administration and Maintenance) specification; the seven custom interfaces are based on PCIe physical layers and can switch protocols; the user-defined protocol stack reduces the end-to-end delay to 40-60 ns by simplifying a transaction layer, optimizing link control and adopting a Root Complex-free topology and a local flit retransmission mechanism; the system supports the rate of 56-112 Gbps, supports star-shaped, ring-shaped and other flexible topologies, is compatible with PCIe ecology, and can significantly improve the bandwidth and real-time performance.

The application provides a containerized smart construction site edge computing architecture and networking system supporting network outage autonomy, wherein the containerized smart construction site edge computing architecture comprises an edge computing framework, an edge side micro application and an edge advanced application; the edge computing framework is used for managing each data acquisition terminal and application based on a containerized micro application architecture; is also used for receiving original construction site data uploaded by the data acquisition terminal; is also used for reporting construction site information and abnormal analysis results to a smart construction site basic platform; the edge side micro application is used for processing the original construction site data to obtain the construction site information, and is also used for intelligently analyzing the construction site information to obtain the abnormal analysis results; and the edge side advanced application is used for local monitoring and display based on the construction site information and the abnormal analysis results; the micro application containerization realizes isolated deployment, independent upgrading and dynamic loading of the application, and new functions can be quickly developed and deployed in the form of a micro application without affecting other parts of the system.

“A method for operating a mobile application is provided, comprising: activating a feature at a frontend associated through business logic with a service; responsive to activating the feature, generating, at the frontend, a first message in a first protocol to a remote mobile aggregator, whereby receipt of the first message at the mobile aggregator triggers second messages in a second protocol comprising at least: (i) a call by the mobile aggregator to the service to execute the feature according to the business logic, and (ii) a result of the call from the service; responsive to sending the first message, suspending a calling environment in the mobile device; receiving, at the frontend, a third message in the first protocol from the mobile aggregator comprising the result from the service; and responsive to receiving the third message, resuming the calling environment in the mobile device and displaying the response at the frontend.”

The embodiments of the present specification provide a multi-tenant application architecture, a multi-tenant application development method and related devices, a tenant unit running in an independent runtime in a multi-tenant module is used to adapt middleware resources corresponding to a user identity for a user request, the multi-tenancy of the actual resource use process of each tenant is realized, the tenants are isolated from each other, and the decoupling of the multi-tenant capability and the user function logic is realized. Meanwhile, the multi-tenant application architecture encapsulates the user function logic for obtaining the user request and the middleware for providing the distributed resources in two different containers respectively, so that the distributed resources and the user function logic set in the resource container are decoupled, the coupling degree of the multi-tenant application architecture is reduced, in the development process, the distributed capability that can be provided by a type of middleware can be exposed to the developer in the form of an interface, the decoupling of the distributed capability and the user function logic is realized, and the development difficulty of the multi-tenant application is reduced.

Various embodiments provide systems, methods, devices, and instructions for protected data use in a third-party software application, where use can be enabled while maintaining protection of the protected data from the third party software application. In particular, various embodiments provide a software application architecture that permits a data party that owns or maintains protected data to support a software development ecosystem where a third-party can develop a third-party software application that uses the protected data while denying the third-party access to the protected data.

Systems and methods for an integrated development environment (IDE) are provided. The system may include a common core and a model-view-adapter (MVA) plugin. The common core is executable to transfer data objects to and / or from a metadata database over a network, where the common core is executable within an IDE configured to customize a customizable application, and where application logic of the customizable application is configured to customize aspects of the customizable application based on the data objects. The MVA plugin is executable to generate a visualization of and / or edit a data object of a data object type. The MVA plugin includes a MDO controller, a MDO view, and a MDO adapter. The MDO controller is executable to control the data object in response to IDE events received from the MDO adapter. The MDO view is executable generate the visualization of the data object via the MDO adapter.

The invention provides a micro-service creation method and device, and relates to the technical field of data processing. The method comprises the following steps: carrying out business modeling according to business requirements associated with a financial institution to obtain a plurality of business models; generating a plurality of service capabilities according to the plurality of service models; wherein the business capability comprises a business object and a group of service functions for operating a plurality of business entities under the business object; and creating a plurality of micro-services according to the business objects in the plurality of business capabilities and the group of service functions. Therefore, the specific landing guidance of the business model on the design and development of the micro-service is taken as a principle, the design of the business capability is added between the plurality of business models and the micro-service design of the financial institution, and the complete mapping and alignment of the business models and the micro-service design are realized; the problem that the service architecture, the application architecture and the technical architecture are inconsistent in the landing implementation process is fundamentally solved, and the response speed of service innovation is increased.