80 results about "Applications architecture" patented technology

The invention relates to a server application architecture migration method and device and a storage medium, and the method comprises the steps that an automatic detection module analyzes and checks a to-be-migrated application under an X86 architecture, and the to-be-migrated application is subjected to static code analysis, dynamic performance analysis and system compatibility check; according to analysis and check results of the automatic detection module, the automatic adjustment module replaces an X86 specific instruction and a library function, performs memory allocation optimization and memory mapping adjustment, and generates an automatic adjustment report; and the automatic optimization module executes a performance benchmark test, and executes memory access optimization, algorithm optimization, task scheduling optimization and multi-core parallelization adjustment according to a test result. According to the server application architecture migration method and device and the storage medium, the architecture adaptation process can be simplified, performance optimization support and automatic dependency relationship management can be provided, the migration efficiency can be improved, and the cost can be reduced.

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 provides a micro-front-end multi-application architecture, a micro-front-end multi-application system and an integration method of the micro-front-end multi-application system. The method comprises the following steps: constructing a main application based on a Vite tool chain; a multi-application universal code warehouse is constructed based on Monorepo; based on the main application and the multi-application universal code warehouse, introducing a Wujie micro-front-end, and constructing a micro-front-end multi-application architecture; performing technical agreement based on a micro-front-end multi-application architecture; based on the technical agreement, transforming a main application and a sub-application which are integrated and accessed into the micro-front-end multi-application architecture, and constructing a multi-application integrated system; according to the dependency relationship of different application resources in the multi-application integrated system, public resources are planned, a CDN content distribution network is constructed, and a distribution strategy of the resources and a distribution service of the resources are constructed; performing configuration setting and construction deployment on the multi-application integrated system and the resource distribution service; according to the method, the problem of'giant application 'of enterprise-level integrated software is solved.

The invention discloses a WBS-based engineering construction integrated fusion application method and system. The method comprises the steps of 1, decomposing a project layer by layer to form a tree-shaped WBS structure; carrying out standard coding on the levels based on a unified WBS coding rule; 2, constructing a business application architecture, and realizing integrated fusion application of design, construction, operation and maintenance stages according to a unified WBS code; step 3, realizing integration and fusion of multi-source heterogeneous data based on WBS coding; step 4, realizing visual display and analysis of the engineering project by using BIM and GIS technologies; and 5, realizing intelligent risk early warning and decision support by using big data analysis and artificial intelligence technologies. According to the invention, through fine decomposition and unified coding of the WBS, in combination with BIM, GIS, big data and artificial intelligence technologies, collaborative management and information sharing of the project in the whole life cycle are realized, the management level and execution efficiency of the engineering project are improved, and the method has a wide application prospect.

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.

Embodiments of a method for operating a mobile application using backend-for-frontend in a tiered software framework comprises: communicating, by a mobile aggregator, first messages over a wireless communication network with a frontend of the mobile application executing in a mobile device, the messages comprising instructions in Remote Procedure Call protocol; identifying services of the mobile application called by the instructions, the services executing in a cloud network; generating second messages in another protocol compatible with communication in the cloud network; and communicating the second messages to the services. The mobile application includes a presentation layer, an application layer, and a data layer. The presentation layer executes in the mobile device, the application layer executes in a first server in the cloud network, the data layer executes in a second server in the cloud network, and the mobile aggregator does not store any history of the messages.

The invention relates to a distribution network equipment modeling simulation method based on a digital twin application architecture. The method comprises the following steps: S1, constructing a distribution network digital twin space description application architecture comprising an interactive communication layer, a model building layer and a simulation analysis layer; s2, on the basis of the constructed distribution network digital twin space description application architecture, carrying out differential modeling on basic elements of the distribution network equipment; s3, based on the constructed distribution network digital twin space description application architecture, modeling is carried out on core distribution network equipment facilities; and S4, based on an electromagnetic transient algorithm, completing information interaction and simulation operation simulation between the distribution network equipment. The method has the beneficial effects of better calculation efficiency and better real-time performance.

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.

The invention discloses a data asset management system based on a drilling full-service data platform, and the system comprises four-transverse three-longitudinal frame division, four transverse represents the process of data capitalization, and three longitudinal represents a support system for the construction of the drilling data platform, through the construction of the data platform, the construction of the drilling data asset management system is realized, and the construction efficiency of the drilling data asset management system is improved. Unified acquisition and standard storage of data are formed, a unified data sharing service and a unified application architecture system are provided, the problem of information islands is effectively solved, and closed-loop management of data generated by business and data service business is promoted. The advanced big data technology is adopted, mass data are converted into high-quality data assets, informatization is promoted to be converted from management and control to an enabling role, deeper business insight is provided for the drilling industry, and high-quality development of businesses is assisted.

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 invention relates to a method and device for increasing the loading speed of a single-page application, electronic equipment and a readable storage medium. The method comprises the steps that a preload component cache queue is created to store preload component instances; initializing a preloaded component instance, creating a webview control, and loading a front-end single page application URL (Uniform Resource Locator); loading a common static resource through the control, loading the common static resource into a memory, preloading a front-end empty routing page, and adding an initialized preloading component into a cache queue; obtaining an initialized preload component from the cache queue, loading a front-end function page routing static resource, and calculating and executing a function page static resource; and obtaining the preload component from the cache queue, judging whether the queue has residual preload component instances or not, if not, starting a background thread, creating the preload component, and inserting the preload component into the cache queue. According to the method, script execution calculation time and page second-out are saved, time-consuming operation of component recreation can be avoided, page loading speed is increased, meanwhile, the method is suitable for various hybrid application architectures APPs, and universality is high.

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 provides a multi-level remote upgrading method and system, a storage medium and an energy storage system. The method comprises the following steps: acquiring an upgrading file, and executing corresponding upgrading work based on the acquired upgrading file and a current application architecture; wherein when the current application architecture is the first architecture, whether the battery control unit is upgraded or not is judged based on the upgrading file, and if yes, first upgrading work is executed; otherwise, executing second upgrading work; when the current application is the second architecture, judging whether the battery access unit is upgraded or not based on the upgrading file, and if yes, executing third upgrading work; if the battery access unit is not upgraded, whether the battery control unit is upgraded or not is judged based on the upgrading file, and if yes, first upgrading work is executed; otherwise, executing the second upgrading work. According to the method, the corresponding upgrading work can be automatically judged and executed, and meanwhile, manual upgrading confirmation caused by lack of links is avoided.

In an embodiment, application delivery to end-user devices may be handled by a combination of an application device and a distributed set of split edge devices located closer to the end-user device within a network. The split edge devices are instructed by the application device about how to manage traffic to and from the end-user devices. The application device determines whether content is stored to content cache of a split edge device. The application device, when the content is stored to the split edge device, refrains from sending the content and instead sends instructions to the split edge device that include reference to a location of the content, and instruct the split edge device to send the content to an application and / or device. The application device, when the content is not stored to the split edge device, sends the content with instructions to store the content locally.

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 belongs to the technical field of C + + application architecture, and discloses a data processing micro-service framework based on C + +, which is characterized in that a service control center interacts with a communication layer to obtain a communication state of the communication layer; judging the communication efficiency of a communication layer based on the obtained communication state, and adjusting the communication layer; the service control center performs information interaction with the business layer through the communication layer, and obtains state information of business service in real time; sending an adjustment instruction to a service layer based on the acquired state information; the service control center interacts with a bottom layer OS through a communication layer to obtain the real-time use condition of system resources, and then the number and configuration of service instances are dynamically adjusted. And the communication layer is connected with the underlying OS and is used for processing system commands transmitted and issued by the service control center and the business layer. According to the invention, network resources can be effectively utilized, and unnecessary communication overhead is avoided, so that the communication efficiency of the whole system is improved.

The present invention can be used in the technical field of the application of distributed technology in the financial aspect. The present invention provides a distributed-based virtual resource request matching method and device. The distributed-based virtual resource request matching method includes: registering the quantity of virtual resources stored in each distributed database into the global distributed cache; receiving a virtual resource request from a user; and sending the virtual resource request to the corresponding distributed database according to the global distributed cache. The present invention solves the problem of poor user experience caused by uneven consumption of different virtual resources in different distributed databases under a distributed application architecture.

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 invention discloses a two-stage database dynamic interaction-oriented modularized data acquisition system and method, and belongs to the technical field of modularized data acquisition. Comprising a server terminal deployed in a command center and N handheld terminals deployed on site. Wherein the server terminal is set to select a corresponding data component to form a callable data type component, and visual construction is performed based on the data type component; the handheld terminal is configured to analyze the data acquisition model to form a data acquisition table, and the data acquisition table is configured to acquire field data and transmit the field data back to the command center in an encrypted form. Based on a component development technology, various data components are constructed, various types of field data are covered, and visual construction of a data acquisition model is realized; based on a distributed design technology, an application architecture of a server side and a hand-held terminal is constructed, and the system is better adapted to wide training data acquisition regions and multiple point locations.

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.