453 results about "Software architecture" patented technology

The invention relates to a photovoltaic power station real-time monitoring management system and method based on a cloud platform, and belongs to the field of photovoltaic power station intelligent monitoring. The system adopts a three-layer architecture of an application layer, a platform layer and an edge layer deployed at a cloud end, the edge layer is composed of distributed edge nodes, data are acquired through a data acquisition interface, and local preprocessing is executed; the platform layer configures a data storage and machine learning model, and performs generating capacity prediction and equipment health degree evaluation; and the application layer provides a visual monitoring interface and an operation and maintenance management terminal, and supports multi-dimensional data display and alarm information pushing. And the edge layer and the platform layer adopt a calculation task dynamic allocation mechanism, so that the cloud load is reduced while the real-time performance is ensured. The full-life-cycle monitoring of the photovoltaic power station is realized through a pure software architecture, the system has the advantages of elastic expansion, cross-platform compatibility and remote maintenance, and the deployment efficiency and the operation and maintenance response speed of the monitoring system are remarkably improved.

The invention discloses a multi-modal-based software architecture intelligent design and optimization system, which relates to the field of intelligent design and optimization, and comprises the steps of performing modal perception and preprocessing on architecture design demand information input by a user, converting the architecture design demand information into structured semantic data, and optimizing and enhancing semantic expression by introducing a reinforcement learning strategy, forming a structured user intention vector set; through a semantic mapping and reasoning processing unit, user intention vectors in the user intention vector set are constructed into a semantic-component alignment graph, and graph structure modeling and confrontation generation algorithm combination are adopted to generate a candidate structure graph set; a structure diagram generation step in the structure generation module effectively improves the rationality, diversity and adaptation capability of an automatically generated structure, and provides core support for realizing automatic construction of a target-demand-oriented architecture structure.

A method includes curating CRM data by employing a type system of a model-driven architecture and selecting an AI CRM application from a group of applications. Each CRM application may generate one or more use case insights with one or more objectives. The method also includes obtaining one or more data models including an industry-specific data model from the curated CRM data and orchestrating a plurality of machine learning models for the selected CRM application with the obtained data model(s) to determine one or more machine learning models effective for at least one objective of the selected CRM application. The method further includes applying the determined machine learning model(s) and the obtained data model(s) to predict probabilities that optimize the at least one objective and using the predicted probabilities to apply at least one of the one or more use case insights that optimizes the at least one objective.

The invention provides a power domain control software architecture and a controller thereof, the software architecture comprises an application layer developed based on an AUTOSAR standard, a runtime environment and a basic software layer, the application layer comprises a plurality of modularized software components, the software components package service logic functions of the controller to be integrated, the software components are provided with an AUTOSAR-based ARXML file definition interface, and the AUTOSAR-based ARXML file definition interface is used for defining the service logic functions of the controller to be integrated. According to the method, the interface compatibility can be improved, seamless integration of application layers across controllers can be realized, and the development parallelism is enhanced by kernel deployment of independently packaged software components according to the real-time performance of functions. The runtime environment generates an inter-core communication agent code, constructs a virtual bus and routes a service request of an application layer component to the basic software layer, and the basic software layer provides system-level service for the application layer through a virtual bus interface of the runtime environment, so that the application layer does not need to directly operate hardware, software and hardware decoupling is realized, and the service performance of the application layer is improved. And smooth realization of software fusion and integration is promoted.

The present invention provides a software design method for intelligent vehicle-mounted terminal based on a microservice architecture, and belongs to the technical field of intelligent networked vehicles. Software system development is realized based on the framework of distributed microservices. In terms of software architecture, the single application integrated by the original intelligent vehicle-mounted terminal is divided into a group of small services, and the services are coordinated and cooperated with each other to provide ultimate value for the application layer and the terminal. Each service runs in its own independent process, and services communicate with each other using a lightweight communication mechanism. Each service is built around a specific business and can be independently deployed to a production environment, a production-like environment, etc. The distributed scenario development method based on the microservice architecture enables different service modules to be freely combined to form application scenarios, which is convenient for independent deployment, distributed management and code decoupling, and the applications can be updated and expanded independently, reducing the coupling of hardware platforms and improving software portability.

The invention relates to the technical field of software architecture design, and discloses a software architecture design method based on intelligent bionic implementation of a large model group. The method comprises the steps of obtaining software design requirement input; performing multi-level semantic analysis on software design requirement input to generate an initial component set and context environment description; based on the context environment description, candidate component knowledge related to the initial component set is retrieved from a distributed knowledge base; performing consistency verification on the candidate component knowledge and the initial component set by utilizing a dynamic inference engine to generate a verified component map; according to the verified component atlas, candidate software architectures are generated through an architecture template matching algorithm; and performing iterative adjustment on the candidate software architecture by adopting an optimization strategy, and outputting a target software architecture design. Through collaborative analysis and intelligent reasoning of the large model group, automation and intelligence of software architecture design are achieved, and the efficiency and quality of software design are improved.

The invention provides a full-autonomous cell operation system based on body intelligence, and relates to the field of cell operation, the system comprises a system hardware architecture and a system software architecture; the system hardware architecture comprises a micromanipulation execution system, a precision positioning system, a multi-mode sensing system and an intelligent calculation and control center. The micromanipulation execution system is used for cell environment interaction, the precision positioning system is used for sample bearing and environment control, the multi-modal sensing system is used for providing key information, and the intelligent calculation and control center is used for operation decision making; the system software architecture comprises a sensing layer, a planning layer, an execution layer and an interaction layer. According to the application, cell recognition, tool selection, path planning, operation execution and result feedback can be automatically completed without manual intervention; through tool autonomous switching and strategy dynamic adjustment, various operations such as cell clamping, injection, controllable deformation and micro-assembly can be completed, and the problems that traditional cell operation depends on manual work, efficiency is low, and consistency is poor are solved.

The invention discloses a multi-tenant data isolation and resource sharing method and device and a medium, and relates to the technical field of software architecture. The method comprises the steps of obtaining tenant data, and verifying the tenant data to allocate a unique tenant identifier corresponding to a tenant; based on the unique tenant identifier, the tenant permission and the resource allocation condition are initialized, and tenant data are classified, encrypted and stored in a public data layer, a tenant shared data layer and a tenant private data layer; based on a preset permission allocation model, allocating the initialized tenant permission, and performing data isolation on private data in the tenant data; and monitoring the resource use condition of each tenant in real time, and adjusting the resource allocation condition based on a load balancing algorithm. According to the method, the unique tenant identifier is allocated to each tenant, and the data is classified, encrypted and stored, so that logic isolation of the data is realized, and accurate allocation of resources is ensured through a dynamic resource adjustment mechanism.

The invention discloses a coal loading and unloading equipment operation detection system based on visual identification, and relates to the technical field of visual identification. The system comprises a hardware architecture and a software architecture, the hardware architecture comprises an image acquisition unit, a data processing unit and a control feedback unit; the software architecture comprises an image processing layer, an intelligent analysis layer and a decision application layer; the image processing layer comprises an image acquisition subsystem, a preprocessing algorithm library and a feature extraction module; the intelligent analysis layer comprises a target detection and identification module, a three-dimensional reconstruction module and an abnormal behavior identification module; and the decision application layer comprises a rule engine, an alarm management subsystem and a data visualization platform. By deploying sensor equipment such as a multi-angle industrial camera and a laser radar and combining a deep learning algorithm and a computer vision technology, various illegal operations and abnormal conditions in the loading and unloading process are automatically identified, total-factor digital monitoring of the loading and unloading process is realized, the detection efficiency is improved, and the loading and unloading risk is reduced.

The invention discloses a water supply network optimization scheduling system based on clustering grouping and Cauchy variation, and belongs to the field of water supply network optimization scheduling. Through a multi-dimensional comprehensive optimization algorithm, an intelligent water consumption prediction model, a self-adaptive pressure partitioning technology, an intelligent pump station collaborative scheduling system, a comprehensive cost-benefit analysis tool, real-time data-driven dynamic scheduling, an interdisciplinary technology fusion platform and an environment-friendly scheduling strategy, the intelligent pump station collaborative scheduling system and the comprehensive cost-benefit analysis tool are integrated. The intelligent and automatic management of the water supply pipe network is realized through the innovation points of intelligent control, automatic operation, modularized and extensible software architecture and the like; data are collected in real time by using the Internet of Things technology, high-precision water consumption prediction is performed in combination with a deep learning model, and the water supply efficiency is optimized and the operation cost is reduced by dynamically adjusting pressure partition and pump station collaborative scheduling; green energy is preferentially used, new function integration is supported through modular design and an extensible framework, the system adapts to the requirements of different regions and pipe networks, and the long-term sustainable development capacity of the system is improved.

The invention discloses a software architecture recovery method and system based on structural dependence and semantic similarity, and the method comprises the steps: carrying out the coding and embedding of source code files of software through a code pre-training model, extracting the semantic information of the source code files, and calculating the semantic similarity between the source code files; using a code statistical analysis tool to extract a structure dependency relationship between the source code files; in combination with the semantic similarity and the structure dependency relationship, calculating a connection weight between the source code files, and constructing a weighted graph; and dividing the weighted graph into communities representing the software modules by adopting a community detection algorithm, and recovering the software architecture. According to the method provided by the invention, the weighted graph is constructed by combining semantic similarity and structural dependency, and software modular segmentation is carried out by adopting a community detection algorithm, so that the efficiency, accuracy and expandability of software architecture recovery are improved.

The invention relates to the technical field of virtual dynamic shared objects, and provides a method and device for achieving vDSO code memory replica, and the method comprises the steps that when a process is started, a vDSO code segment is mapped to an address space of the process; running the function code according to a preset running mechanism; and modifying the vDSO code segment by adopting the function code according to a preset rule, cancelling vDSO code segment mapping of the current process, and remapping a new vDSO code segment. According to the method and the equipment for realizing the vDSO code memory copy, the program performance can be obviously improved, vDSO copies of different levels can be flexibly realized, program and kernel codes do not need to be modified, the life cycle of the vDSO copies is efficiently managed, deployment and maintenance are simplified, the program or a kernel does not need to be modified, and a user can realize the vDSO code memory copy under the condition that an existing software architecture is not changed. And rapidly deploying and starting a vDSO memory copy function.

The invention discloses a multi-agent system for knowledge-driven automatic software architecture design, and belongs to the technical field of computer aided design, and the multi-agent system comprises an analysis agent, a modeling agent, a design agent and an evaluation agent which are constructed based on a large language model, the analysis agent is used for extracting, screening and classifying requirements which influence the software architecture design from a software requirement specification and generating a requirement document; the modeling agent is used for generating a software architecture view according to a demand document and an external knowledge base; the design agent is used for generating a software architecture document according to the demand document and the software architecture view; and the evaluation agent is used for evaluating and analyzing the software architecture according to the demand document, the software architecture view and the software architecture document to generate an evaluation and analysis report. According to the method, through cooperation and interaction between the intelligent agents and prompt of external knowledge, the reliability, practicability and creativity of software architecture design can be effectively enhanced.

The invention discloses a seismic wave acquisition system based on an SDN and a fusion routing algorithm, the seismic wave acquisition system comprises an SDA controller, a fusion routing intelligent closed-loop control framework, a DQL-HRA routing algorithm module and a software architecture, the fusion routing intelligent closed-loop control framework is deployed in the SDA controller, the fusion routing algorithm module is arranged in the fusion routing intelligent closed-loop control framework, and the DQL-HRA routing algorithm module is arranged in the software architecture. The fusion routing intelligent closed-loop control framework comprises a unified state sensing and preprocessing module, a cooperative control intelligent decision module and a control strategy generation and deployment module. The SDN controller and the fusion routing algorithm are combined, the network state change can be dynamically adapted, the purpose of dynamically adjusting and optimizing the routing path is achieved, and through dynamic path optimization, data packet loss and retransmission are reduced, node energy consumption is balanced, local overload is avoided, so that the data transmission efficiency is improved, and the use requirement is met.

The invention belongs to the technical field of fault-tolerant control of an electronic system, and particularly relates to a dual-microcontroller system and a control method thereof, and the dual-microcontroller system comprises a hardware architecture and a software architecture; the hardware architecture specifically comprises a main MCU module, a standby MCU module, a dual-power module, a dual-measurement acquisition module, a hardware arbiter and an output switching value module; the software architecture comprises the steps of initializing a data synchronization communication interface of the main MCU module and the standby MCU module, starting the main MCU module and the standby MCU module, reading data of the measurement acquisition module in a working program state machine by the main MCU module, interacting with external equipment through the communication interface and driving switching value output; and when the main MCU module has no fault, the hardware arbiter selects the switching value output of the main MCU module to drive the external equipment, and when the main MCU module has a fault, the hardware arbiter selects the switching value output of the standby MCU to drive the external equipment.

The invention discloses a Wi-Fi chip WAPI protocol implementation system and method based on static library integration, and particularly relates to the technical field of wireless local area network security, comprising a management frame processing module, a WAI protocol frame monitoring module, a key negotiation module and a cryptographic algorithm module, the management frame processing module, the WAI protocol frame monitoring module, the key negotiation module and the cryptographic algorithm module are packaged into a static library, and are linked to an original software architecture of Wpapplicant and Hostrid. According to the Wi-Fi chip WAPI protocol implementation system and method based on static library integration, the management frame processing module, the WAI protocol frame monitoring module, the key negotiation module and the cryptographic algorithm module are packaged into the static library and are linked to the original software architecture of wpasupplicant and hostrid, so that the complexity of implementing the WAPI function facing the Wi-Fi chip is reduced, and the WAPI protocol implementation system and method based on static library integration have the advantages that the management frame processing module, the WAI protocol frame monitoring module, the key negotiation module and the cryptographic algorithm module are integrated into the static library and are linked to the original software architecture of wpasupplicant and hostrid;

The invention belongs to the technical field of aviation airborne system design, and provides a helicopter airborne system-oriented novel software architecture and a construction method thereof, and the architecture comprises a hardware abstraction layer, a framework resource layer, an intelligent platform service layer and an application software layer from bottom to top. And the hardware abstraction layer realizes decoupling of hardware and basic software of an operating system. The framework resource layer supports operation of a hybrid key operating system, supports and isolates tasks and application programs with different key levels, software bases and computing power requirements, and provides basic computing communication resources and AI computing power resources. The intelligent platform service layer comprises middleware, a servitization function unit and a servitization management unit, and the servitization function unit comprises atomic services and enhanced services. And the application layer interacts with the intelligent platform service layer and is decoupled from a bottom software and hardware environment. The framework is suitable for unmanned / manned helicopters, and generalization of platform support and maximum reuse of software assets are achieved.

An example operation may include one or more of receiving and recording electronic communications that occur between users of an organization within a data store, receiving an input via a user interface, retrieving the electronic communications of the organization and software architecture documents from the data store in response to receipt of the input, generating a diagram of a software architecture of the organization based on execution of a generative artificial intelligence (GenAI) model on the electronic communications of the organization and the software architecture documents, and displaying the diagram of the software architecture via a user interface.

The invention provides a domestic chip-oriented lightweight AUTOSAR architecture multi-core optimization method, belongs to the field of automobile electronic software architecture optimization, and is used for solving the problems of low computing power utilization rate, insufficient security isolation and long multi-vehicle-type adaptation period when an AUTOSAR architecture adapts to a domestic multi-core chip in related technologies. According to the method, core resource characteristics of the domestic multi-core chip are quantified, a three-dimensional binding partition deployment system is constructed, functional partitions are split, core resources are bound directionally, OS lightweight, security isolation, dynamic scheduling, self-adaptive learning and pruning feedback are combined, security task physical isolation is achieved, the hardware characteristics of the domestic chip are adapted, the efficiency of the multi-core resources is improved, and the cost is reduced. And the multi-vehicle-type adaptation period is shortened.

The invention provides a software architecture governance system based on automatic modeling and holographic penetration analysis. The software architecture governance system comprises multiple modules: a project management module used for managing all analysis projects; the source code management module is used for pulling, updating and deleting project source codes; the analysis drive management module is used for uniformly managing and calling analysis drive programs; the multi-language analysis driving cluster is integrated with analysis driving programs corresponding to multiple programming languages and is responsible for analyzing source codes, generating a standardized software chart model and storing the standardized software chart model in a database; the rule engine module is used for supporting a complex code analysis service; the cross-project integrated analysis module generates a system architecture diagram according to the plurality of software models and stores the system architecture diagram into a diagram model library; the multi-dimensional data fusion interface module provides penetrating analysis interfaces of a code layer, a design layer and a framework layer; and the architecture model visualization module is responsible for displaying the system architecture in a multi-dimensional visualization manner. The method can be used for automatic modeling, tracing analysis and interactive visual presentation of a complex system architecture.

The invention belongs to the technical field of automotive electronics and electrical, and particularly relates to an intelligent vehicle electronic and electrical architecture based on central domain control, which comprises a CCU (central control unit) and a ZCU (zero control unit) which are in communication connection through Ethernet or CAN (FD). The ZCU area controllers are at least arranged on the front portion, the middle of the left side, the middle of the right side and the rear portion of the vehicle and connected to the electric control components at the corresponding positions. The CCU provides power distribution and intelligent protection for the central computing platform and the ZCU area controller; on the hardware architecture, the number of used ECUs can be extremely reduced, a traditional architecture mode according to function domains is broken up, and the function of distributing nearby according to position areas is achieved; the SOA service-oriented development and design concept is adopted on the software architecture, interfaces between the hierarchies are clear, and the novel architecture based on the hardware integrally improves the development efficiency and interface reuse, powerfully supports user-defined scenes, greatly expands the vehicle use scenes and improves the value.

The invention discloses a redundancy control device and system for a valve actuating mechanism of a pneumatic isolating valve, and belongs to the technical field of industrial automation and process control. The device comprises a triple gas source supply system which comprises a main gas source, a standby gas source A and a standby gas source B adopting a high-pressure gas storage tank; the distributed intelligent control module comprises a main controller, a hot standby controller and a cold standby controller and adopts a 2oo3 voting mechanism; the triple modular execution mechanism system comprises an electro-pneumatic execution unit, a pure pneumatic execution unit and a mechanical standby execution unit; the invention discloses a self-adaptive fault diagnosis and recovery system. The control system comprises an intelligent self-learning system, an undisturbed switching control system and the like, and has a layered software architecture and a multi-level control strategy. Multiple redundancy is achieved, the reliability of extreme conditions is improved, fault prediction is accurate, response is fast, switching disturbance is small, the method adapts to working condition changes, and the safety and the intelligent level of the system are improved.

The present disclosure provides techniques for efficient blockchain transaction processing. In one embodiment, a computer system broadcasts a first transaction to a blockchain network for addition to a block in a blockchain. The computer system may broadcast a second transaction to the blockchain network for addition to the block in the blockchain, where the second transaction descends from the first transaction and includes a placeholder fee. The computer system monitors and determines that the first transaction has not been confirmed to the block in the blockchain for a duration of time (e.g., stuck in the mempool). In response to determining that the first transaction is stuck, the computer system may transmit a request to replace the placeholder fee with a transaction fee that is sufficiently high to cause the first transaction and the second transaction to be confirmed to a block in the blockchain, thereby unsticking the first transaction.

The invention relates to the technical field of model training learning, in particular to a training method of an intention recognition model for understanding user requirements in an intext software scene, which comprises the following steps of: traversing paths to determine levels and establish variable-dimension projection mapping, generating semantic orthogonal conflict samples, obtaining variable-dimension features by utilizing matrix transformation, and obtaining an intention recognition model for understanding user requirements in an intext software scene. And quantizing the brother node overlapping degree to apply orthogonal constraint, updating the weight by minimizing the positive sample distance and maximizing the conflict sample distance, and constructing an intext software intention recognition optimization model. According to the method, a mapping mechanism of a hierarchical position and a variable-dimension projection matrix is established through software architecture topology, a semantic orthogonal logic conflict sample is constructed, brother node feature branch orthogonal constraint is introduced, and feature representation of parallel architecture branches is forcibly separated in a vector space; the logic conflict sample spacing is maximized, semantic overlapping of similar function nodes is eliminated, and a decision boundary with high distinction degree is constructed to accurately analyze a complex nested instruction.

Methods and systems for analyzing architectures of microservice systems are described. An example method includes generating, based on an analysis of a bytecode of a microservice system, a graph-based intermediate representation that models control-flow and data-flow dependencies between a plurality of microservices of the microservice system. The method then includes parsing the graph-based intermediate representation to extract one or more components of the microservice system, and generating, based on the one or more components and a list of attributes for each of the plurality of microservices, a service dependency graph that represents a service view of the microservice system and a context map that represents a domain view of the microservice system. The method additionally includes visualizing, based on the service view and the domain view, an architecture of the microservice system. An example system includes one or more processors that are configured to implement the above-described method.

The invention discloses a new-generation convenient robot chassis secondary development system based on an ROS2.0 system, and relates to the technical field of robots. The new-generation convenient robot chassis secondary development system comprises a multi-mode self-sensing self-adaption universal hardware interface module, a multi-mode self-sensing self-adaption universal hardware interface module and a multi-mode self-sensing self-adaption universal hardware interface module, the hierarchical ROS2.0 software architecture module fused with the spatio-temporal semantics comprises a driving layer unit; a functional layer unit; the application layer unit comprises a micro-service architecture subunit based on a knowledge graph; a block chain technology application subunit; the context awareness and evolutionary intelligent scene adaptation configuration management module comprises a context awareness model unit; an evolutionary algorithm unit; the multi-sensor fusion fault diagnosis and redundancy switching module comprises a multi-sensor fusion diagnosis unit; a redundancy switching strategy unit; through the multi-module design, the hardware universality, the software intelligence, the scene adaptability and the system reliability are improved, and the system is suitable for multiple fields of industry, agriculture, medical treatment and the like.

The invention discloses a method for realizing adaptive interface parameter verification in a software architecture. The parameter verification method comprises the following steps: performing parameter logic configuration on adaptive interface parameters; performing application integration verification according to the parameter logic configuration to obtain a verification result; and updating in real time to take effect according to the verification result. The manual writing of repeated verification codes in each application is avoided, errors caused by manual coding are reduced, and the development efficiency is improved.

The invention discloses an application construction method and device, equipment, a storage medium and a product, and relates to the technical field of application construction. According to input user demand description data, an industry identifier is identified, and a demand knowledge graph is constructed; searching a target industry knowledge base according to the industry identifier so as to arrange the demand knowledge graph to obtain a target application design scheme; searching a software architecture design pattern library according to the target application design scheme, and outputting a target technical architecture scheme; and searching a code template library according to the target technical architecture scheme, and outputting a target application. According to the method, richer user demand information can be extracted from the user demand description data in various modes, a target application design scheme better meeting actual application demands is designed based on industry knowledge, and the quality and efficiency of application construction are improved.

The invention provides an efficient operation and maintenance software architecture setting method for multi-task parallel scheduling, and relates to the technical field of operation and maintenance automation. The method comprises the steps that resource state data of operation and maintenance nodes in an available area are collected in real time; dynamically calculating a comprehensive load index of each available area operation and maintenance node based on the resource state data to obtain a calculation result; according to the calculation result, identifying a high-load available area with the comprehensive load index exceeding a preset threshold value and a low-load available area with the comprehensive load index lower than the preset threshold value; and based on the high-load available area, performing priority grading on operation and maintenance tasks to be processed in the high-load available area according to task types to form a high-priority core task queue and a low-priority conventional task queue. According to the invention, accurate matching and efficient utilization of cross-regional resources are realized.

The invention provides an AI-driven automatic test system and intelligent optimization method based on VISA and SCPI. The method comprises the steps that a natural language test requirement input by a user is acquired, the requirement is analyzed, and a test script conforming to the SCPI specification is generated; issuing the test script to the test instrument cluster through the virtual instrument software architecture interface, executing the test script, and collecting test data in real time; performing multi-modal fusion analysis on the basis of the collected test data to detect anomalies in the test process, and dynamically adjusting test parameters or test scripts according to an anomaly diagnosis result; performing cooperative task scheduling optimization on a plurality of instruments in the test instrument cluster based on the adjustment result; according to the method, a large language model is combined with an SCPI command knowledge graph to realize automatic conversion from a natural language to a test script, and test parameters and multi-instrument scheduling are dynamically optimized in combination with reinforcement learning, and the test efficiency and precision are remarkably improved through real-time anomaly detection and root cause positioning.