88 results about "System architecture design" patented technology

The invention relates to the technical field of modularized laboratory project management, and discloses a modularization-based laboratory project management method, which comprises the following steps: S1, system architecture design: adopting a micro-service distributed architecture, and cooperatively working through a plurality of business modules; s2, module management and project creation; the invention also provides a laboratory project management system based on modularization, which comprises a project management engine module, an intelligent key node reminding system, a sample full life cycle tracking management module and a multi-party collaborative feedback management module, the project management engine module comprises three core business modules, namely, a project management module, a sample management module and a contract management module, standardized management and efficient operation of laboratory projects are achieved through a project module engine, an intelligent node reminding mechanism and a full-process tracking algorithm, the project management efficiency can be remarkably improved, and the project management efficiency is improved. And the time cost of a project preparation stage is saved.

The invention relates to the technical field of software development, and provides a method and a system for generating a software development scheme. The method comprises the following steps: S1, acquiring a user demand, extracting a functional demand and a non-functional demand, and processing; s2, generating a system architecture design based on a demand analysis result, and selecting a proper technical scheme in a manner of combining a collaborative filtering model and reinforcement learning; s3, based on the architecture design and the demand analysis result, a development task is automatically generated, and resource scheduling is dynamically adjusted; and S4, generating an automatic test based on a demand, and performing intelligent analysis on a test result. And dynamically generating system architecture design and optimizing technical stack selection through a method of combining a collaborative filtering model and reinforcement learning. Collaborative filtering is associated with implicit vectors of a technology stack through user requirements, reinforcement learning optimizes decisions according to historical experience, expandability of architecture design and reasonability of technology type selection are guaranteed, different project requirements are met, and system performance is improved.

The invention provides an enterprise-level intelligent assistant-oriented multi-modal dialogue management and task execution system establishment method, which is characterized by comprising the following steps of Step 1, multi-modal data acquisition and preprocessing; step 2, carrying out cross-modal information alignment and fusion; 3, multi-mode dialogue management is carried out, and after data fusion is completed, the system enters a dialogue management stage; step 4, multi-modal task execution: in the dialogue management process, when a user initiates a specific task request, the system enters a task execution stage; automatically distributing and executing a plurality of tasks in the enterprise by using the fused multi-modal information; step 5, designing and optimizing a system architecture; and an integrated multi-mode intelligent assistant architecture is designed. By integrating multi-modal data processing and natural language understanding (NLU) technologies, the accuracy and efficiency of the enterprise intelligent assistant in task execution are remarkably improved. The system can process various modal information such as texts, voices and images at the same time, and seamless connection of cross-modal dialogue management and task execution is achieved.

The invention provides a deep space exploration task level demand analysis method, which comprises the steps of forming a task mission based on strategic planning, domestic and overseas trend development and engineering foundation; stage division and periodic task planning are carried out, benefit-related parties of the task are sorted, appeals of the benefit-related parties for the task are investigated, and a target system of the task is obtained based on task constraints; performing task scene analysis, task scene refinement, task capability analysis and task index analysis, and outputting a task capability system; carrying out capability clustering, capability index construction, system architecture design and system interface design to obtain a system architecture design model and a capability distribution model; and finally obtaining a deep space exploration task flow. According to the method, visual expression and analysis are carried out on deep space exploration mission and demands based on multiple views, initial design of deep space exploration mission tasks and system demands is achieved, then based on analysis of capability demands, a large system architecture is formed, initial logic design is completed, and finally a task-level demand model is formed.

The invention discloses a zero-code heterogeneous data integration method. The method comprises the following steps: S1, configuring a multi-source data connector; s2, processing differences of different data formats and structures by adopting an adapter mode; s3, performing data cleaning; s4, performing data conversion; s5, loading the converted data into a target database or a data warehouse, and adopting a partition loading and incremental updating strategy; s6, providing a graphical user interface, and constructing a data integration workflow by dragging the component and connecting the data flow; s7, providing a visual workflow management tool, and supporting workflow version control, collaborative editing and parallel processing; s8, realizing an automatic workflow scheduling system, and supporting timed tasks and event driving; s9, performing data consistency check and integrity verification; and S10, a modular and extensible system architecture design is adopted. A zero code integration method is adopted, efficient integration of heterogeneous data sources is achieved, and the method has the advantages of being high in usability, high in processing efficiency and capable of guaranteeing data quality.

The invention discloses a micro-seismic monitoring system based on distributed optical fiber sound wave sensing, and belongs to the technical field of seismic monitoring. The application potential and advantages of the DAS in seismology are applied to the design of the system. The process of processing the DAS signal by using the seismological method comprises the steps of firstly collecting the DAS signal by using equipment, then obtaining the DAS signal through detection and carrying out preprocessing mean removal and normalization, then carrying out picking operation on a waveform signal, carrying out event positioning after obtaining the picked signal, and finally carrying out magnitude fitting. The process of the system design comprises the following steps: in combination with a system design method, performing demand analysis on functions to be realized by the system, performing function definition, selecting a proper system architecture design according to demands and functions, performing technical model selection on the whole system and the like. And finally, a DAS method is combined with system design, and a micro-seismic monitoring system using the DAS is realized.

The invention relates to the technical field of financial database processing systems, and discloses a financial database processing and analyzing system with a data protection function, which comprises a system architecture design module, a data protection strategy module, a data processing and analyzing module and a security scale module. The invention relates to a financial database processing and analyzing system which improves performance and data processing capacity and ensures data safety and privacy. The system realizes high availability and stability through technologies of read-write separation, fault transfer, health examination and the like; data protection strategies such as dynamic desensitization, secondary authorization and encryption further guarantee data security; the data processing and analysis module is combined to enhance the data processing and analysis capability of financial services, and the security and scale module ensures the overall security of the system; compliance evaluation ensures that the system conforms to related laws and regulations; in short, the system provides an efficient, safe and compliant data processing analysis scheme for the financial industry.

The invention discloses a double-node interaction system architecture design method, device and equipment and a medium, and relates to the field of integrated circuits, and the method comprises the steps: configuring corresponding communication bus modules for a first node and a second node in double nodes; the communication bus module comprises a universal serial bus function realized based on integrated logic; the communication bus modules for controlling the double nodes are connected with respective video graphic array modules, management component transport protocol modules, data access interaction modules and universal extension control interfaces, and the respective video graphic array modules for controlling the double nodes are connected with respective image coding and decoding modules; the bandwidth of the communication bus module is calculated according to the bus characteristics of the communication bus module, and the bandwidth of the storage space is calculated according to the storage characteristics of the storage space, so that the bandwidth requirement of the double nodes is met. The problem of high cost of the multi-node server is effectively solved, the utilization rate of the substrate management controller is greatly improved, and simultaneous online control management of the host of the multi-node server is realized.

The invention discloses a modular lunar surface direct current micro-grid system architecture design method supporting dynamic expansion. The method comprises the steps that firstly, a DC-DC converter in a direct current micro-grid is divided into an interface type DC-DC converter directly connected with a load and a power generation end and a network construction type DC-DC converter supporting energy routing; an input-series and output-parallel modular expansion strategy based on voltage-sharing and current-sharing control is provided, and dynamic balance of input-series voltage sharing and output-parallel current sharing is realized, so that the targets of power mutual assistance and long-range networking operation in progressive evolution of the lunar base energy system are adapted. Through staged architecture evolution and standardized interface design, the modular control concept is emphasized, the reliability and networking interoperability of the system are remarkably improved, meanwhile, progressive access of lunar photovoltaic, energy storage and variable loads is compatible, an extensible technical framework is provided for lunar exploration energy supply, and the application range of the system is widened. The method has important engineering value and reference significance for construction of a deep space power system.

The invention discloses a mission engineering-based system architecture design and measure tracing method, and belongs to the technical field of system architectures. Aiming at the construction problem of a complex system architecture and the measurement tracing problem in complex system modeling, the method of the invention performs mission engineering analysis on a researched complex system, and designs the system architecture from four layers of perspectives of strategy, operation, service and resources based on a UAF; based on UAF, measurement tracing modeling of a strategic layer, an operation layer, a service layer and a resource layer is carried out, and measurement iteration in a mission-task-capability decomposition process is established through a systematic method by adopting measurement definition and measurement tracing relation in mission engineering. According to the method, a user is allowed to model a complex system from a plurality of view angles, the traceability of measurement among different view angles is realized, and complete traceability of parameters and forward design of a complex system architecture are realized.

This invention relates to a multi-objective trade-off optimization and decision-making method and system for electric drive controllers, including: constructing a requirements analysis model; constructing a top-level performance target analysis model; constructing a top-level system architecture design model, constructing test models for subsystems, sub-functions, and sub-modules, and designing test cases; constructing design modules, implementation path models, and corresponding simulation models for subsystems, sub-functions, and sub-modules; multi-objective trade-off optimization; prototyping and verification; building a digital twin system; and knowledge base construction and iteration. This invention enables early quantitative evaluation and automatic optimization of design schemes.

The present application provides an artificial intelligence-based privacy computing data security aggregation method and system, including: obtaining preset data security levels and accuracy requirements according to business scenario requirements, and determining the independence threshold and aggregation degree range of data sharding; using the differential privacy algorithm to add noise to data shards, reducing the leakage risk while ensuring data independence; encrypting data shards through homomorphic encryption technology to ensure data security during transmission and calculation; if the accuracy of the preliminary aggregation result is lower than the preset threshold, adjust the aggregation degree, increase the interaction times of data shards, and re-perform aggregation calculation; if the adjusted aggregation result meets the accuracy requirements, decrypt the aggregated data to obtain the final result; through system architecture design, embed the adjustment mechanism of data shard independence and aggregation degree into the calculation process to achieve dynamic balance.

The present invention discloses a method, a system, a device and a medium for system architecture trade-off analysis, which relates to the field of aerospace system architecture design. The method includes: obtaining decision items and alternative items of the rocket first-stage and second-stage separation system architecture to be trade-off analyzed; performing formal representation on the decision items and the alternative items to obtain a morphological matrix; the morphological matrix includes a plurality of alternative architectures; determining alternative architectures that meet the constraints among the plurality of alternative architectures according to the morphological matrix; the constraints include option mutual exclusion and option association; using a multi-objective optimization search method to determine alternative architectures on the Pareto front among the alternative architectures that meet the constraints; using a weight sensitivity analysis technique to determine the weight values of the system indicators of each alternative architecture on the Pareto front, and using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to determine the final system architecture. The present invention improves the efficiency of system architecture trade-off analysis.

The invention discloses a mobile terminal security quotation analysis system, which relates to the technical field of finance, and comprises a back-end server and a system architecture design module, and the back-end server interacts with a value-added service access module, a real-time data synchronization and updating module and a quotation analysis integrated module. According to the method, the same-screen display of time-sharing and K-line data is realized through the up-down split interface layout, the screen utilization rate is improved, the user experience is optimized, and frequent view switching is avoided; multiple functions such as market quotation, historical query and index analysis are integrated, integrated market analysis is realized, and the depth deficiency in the prior art is made up; market data are synchronized and updated in real time, it is ensured that the user follows the market dynamic state closely, and the delay problem is solved; a value-added service interface is reserved, future expansion is supported, architecture design is flexible, new function integration is facilitated, and market adaptability is enhanced; the convenience and efficiency of security quotation analysis of the mobile terminal are remarkably improved, the user experience is comprehensively improved, and the rapid change requirement of the market is met.

The invention belongs to the technical field of warehousing, and discloses an AI intelligent shipment identification system. S1, system architecture design; s2, an AI algorithm core layer; s3, an intelligent execution and control layer; s4, a data middle table and an edge calculation layer; s5, system protection and reliability guarantee; the system architecture design comprises a multi-mode sensing layer. According to the method, false detection and missing detection caused by goods stacking, shielding or label fouling are avoided, a self-adaptive optimization mechanism continuously learns new scene features, an identification strategy is dynamically adjusted, the manual intervention requirement is reduced, the stability and reliability during high-concurrency order processing are ensured, and the high-concurrency order processing efficiency is improved. The automatic sorting and collaborative scheduling technology realizes rapid positioning and lossless grabbing of goods, intelligent path planning is combined, the sorting period is greatly shortened, the equipment collision risk is reduced, the edge computing and cloud collaborative architecture breaks data islands, resource allocation and abnormal response are optimized in real time, and global visual monitoring and decision support are provided for managers.

A method for automatic cloud agnostic infrastructure provisioning, includes: receiving at least one system architecture design for deployment of at least one application on a cloud platform; determining: design parameters by decoding the at least one system architecture design, wherein the design parameters include at least one from among system components, one or more interconnections between the system components, performance requirements of the system components, and resource requirements of the system components; determining, based on the design parameters, at least one service component for deployment from among the system components; determining at least one Infrastructure-as-Code (IaC) template for the at least one service component based on the interconnections between the system components; and deploying the at least one application on the cloud platform based on the at least one IaC template.

An integrated protection method for a flow battery energy storage system belongs to the technical field of flow battery systems, and comprises the following steps: S1, adopting a layered architecture design for a system architecture; s2, adopting a multi-stage protection mechanism through a safety and fault management scheme designed based on a system architecture design thought; S21, constructing a battery over-charge / over-discharge protection function; s22, constructing a thermal runaway early warning, and triggering a shutdown function; and S23, three-level safety protection is set between the PCS and the BMS. On the basis of BMS and PCS cooperative control, strategy optimization is implemented, the efficiency and safety of the integrated energy storage system can be remarkably improved, a control algorithm such as self-adaptive PID adjustment is improved, the charging and discharging process can be accurately balanced, and the overload or undervoltage risk is prevented. The collaborative design ensures seamless matching of the battery state and the power output, and provides reliable support for an overall energy storage scheme.

The invention relates to the technical field of intelligent system architecture design, and discloses an intelligent system architecture design method based on hierarchical collaboration and multi-model fusion. The method comprises the steps of generating a task situation fingerprint capable of accurately representing a task resource demand mode by analyzing a cross-level interaction event flow generated during system operation; based on the fingerprint, a dynamic resource allocation strategy is established to predict and cope with future resource competition, a dynamic weaving process of architecture configuration is started, and a customized architecture topology matched with the task sequence is generated. By injecting a resource elastic adjustment mechanism into the topology, the data flow load is monitored in real time, the resource quota of the model instance in each level is dynamically adjusted, and continuous incremental optimization is performed according to the actual resource utilization rate. According to the method, fine management of computing resources and real-time on-demand reconstruction of a system architecture are realized, and the resource utilization efficiency and the self-adaptive capability of the overall performance of the system in a complex task scene are improved.

The invention belongs to the field of power distribution network dynamic utility value evaluation, and particularly relates to a novel power distribution network dynamic utility value evaluation method and system based on a chaos theory. Constructing a multi-source heterogeneous data acquisition system; extracting features by adopting an improved multi-scale method; through a hybrid modeling strategy, evaluation and prediction of the utility of the power distribution network equipment are realized; and performing effect evaluation by adopting dynamic utility evaluation. According to the invention, by constructing a multi-dimensional utility evaluation system based on chaotic features, the limitation of the existing equipment utility evaluation method, especially the limitation of linear hypothesis in the traditional evaluation method, is solved. Through layered progressive system architecture design, deep optimization is performed from four aspects of data acquisition, feature extraction, modeling prediction and utility evaluation, and accuracy, real-time performance and reliability of an evaluation result are ensured.

The invention relates to the field of system architecture design, analysis and tradeoff, in particular to a scene-driven model-based system architecture tradeoff method and device. The method comprises the following steps: step 1, constructing a scene evaluation table; 2, establishing a system efficiency tree; 3, carrying out system architecture modeling based on the model; and 4, carrying out model-based system architecture multi-quality characteristic analysis, and identifying sensitive points and risk points. Modifying system architecture elements based on the sensitive points to generate a new architecture, and repeating the steps 3-4; and 5, performing quantitative evaluation and visual analysis on the alternative system architecture. According to the method, based on user requirements and case scenes, the interactive influence between field characteristics of the system and multi-quality characteristics of the system is considered, quantitative evaluation and visual analysis are combined, the confidence coefficient of system alternative architecture tradeoff is improved, the traditional influence on architecture tradeoff based on engineering experience, non-technical factors and the like is reduced, and the subjectivity of an evaluation result is reduced.

The invention relates to a system architecture automatic design method based on a domain-specific language (DSL). The method comprises the following steps: S1, constructing a DSL file definition system; s2, carrying out service DSL (Digital Subscriber Line) modeling; s3, judging whether expansion is needed or not, if so, turning to S4 after expansion, otherwise, directly turning to S4; s4, after the participants are determined, performing logic writing on the process and the process steps; s5, carrying out system architecture DSL (Digital Subscriber Line) modeling; s6, judging whether the integration point needs to be expanded or defined, if so, turning to S7 after expansion or definition, and otherwise, directly turning to S7; s7, compiling components, interfaces and constraints in detail; s8, binding and mapping business and system architecture field elements; and S9, carrying out automatic analysis, verification and reasoning by adopting a DSL analysis engine, generating a framework blueprint, if abnormity exists in the verification process or business requirements change, turning to S3, and otherwise, directly outputting the framework blueprint and an interface document. Compared with the prior art, the method has the advantages of high design efficiency, high expandability, high accuracy and the like.

This invention discloses a method for constructing a wafer-level chip system design space and rapidly searching for parameters. The method includes: task graph definition, prefab parameter quantization, joint model construction based on task graph features and prefab features, and Bayesian optimization implementation strategy. The technical solution of this invention can guide the construction and searching of the design space, reducing the number of simulator calls and enabling the construction of the wafer-level chip system architecture design space, efficient parameter search, and performance evaluation. This method can be used for agile design and hardware implementation of multi-chip integrated wafer-level chip system architectures.

The embodiment of the application discloses a kind of multi-subsystem comprehensive system architecture design optimization method and the comprehensive system of multi-subsystem, and multi-subsystem includes the flight control subsystem of aircraft, hydraulic subsystem and power subsystem, design method includes: determining the multiple selection of actuator execution mechanism used by flight control subsystem, determine multiple types of form selected by hydraulic subsystem, determine multiple power supply forms of power subsystem;Based on the requirement of operating cost and maintenance cost in series aircraft design, the optimization target that makes operating cost and maintenance cost meet the income demand is determined;For each optimization target determined, its objective function is constructed, and each objective function is solved using multiple sets of design variables to obtain the corresponding solution of each objective function under multiple sets of design variables;The corresponding solution obtained by multiple optimization targets under multiple sets of design variables is comprehensively processed to obtain the feasible solution of the system architecture selection of multi-subsystem, and the final selected system architecture is determined.

The invention discloses an AI (artificial intelligence)-based college book child English applet and a production process thereof, relates to the technical field of education, and particularly relates to an AI-based college book child English applet and a production process thereof. Four functional modules of basic English learning (such as textbook synchronous word retrieval and pronunciation training), professional English learning (such as term library query and specification image recognition and interpretation), auxiliary learning (personalized recommendation) and social learning (learning report sharing, discussion area and group collaboration) are integrated. The manufacturing process sequentially comprises six stages of demand analysis and planning, system architecture design, core module development, technology integration and debugging, system test and optimization, and deployment online and iterative maintenance. The system adopts a cross-platform front-end and micro-service back-end layered architecture, the quality is guaranteed through multi-dimensional testing, stable deployment and continuous iteration are realized through a gray release strategy, and the multi-learning-section personalized English learning requirement is met.

The invention discloses a data processing method and system based on a data stream architecture, and relates to the field of computer system architecture design. Comprising the steps of 1, creating a data stream architecture accelerator used for executing acceleration of tridiagonal matrix solving in data processing, 2, when the data stream architecture accelerator is used for executing acceleration of tridiagonal matrix solving in data processing, the data stream architecture accelerator runs in a host machine, input data is issued to a global memory of the accelerator according to a calculation task, and the acceleration is executed. A firmware program of the computing core is initialized, the firmware program is used for loading a corresponding kernel program, the kernel program is used for executing a corresponding task load, a data load kernel program is used for initiating a read-write request to carry out data handling, and a computing load kernel program is used for consuming input data, executing a corresponding algorithm and generating output data; the calculation load kernel program comprises transposition distribution, forward elimination and backward substitution, specification and de-reconstruction, various kernel programs are issued to a calculation core of the data stream architecture accelerator in real time and are scheduled and executed, and a calculation result is retrieved from a global memory of the accelerator after the execution is finished.

The invention relates to a finite element simulation calculation method based on CUDA parallel, a program and application, and belongs to the technical field of civil engineering finite element simulation. Comprising the steps of system architecture design, GPU memory management and CSR format sparse matrix GPU solving module GPUSolver solving. The method or the program can be applied to structure analysis software such as OpenSees. According to the method, the conjugate gradient iteration method based on cuSPARSI and cuBLAS is realized, and memory access and calculation optimization are carried out for the GPU architecture. According to the method, the efficiency of solving the system of linear equations in large-scale structure simulation analysis is remarkably improved through GPU height parallel calculation, and an efficient GPU acceleration solution is provided for simulation calculation of a complex structure.

The invention relates to the technical field of data storage and sharing, in particular to a party building data secure storage and sharing method based on a block chain technology, comprising the following steps: constructing a multi-layer system architecture design including a node layer, a storage layer, a sharing layer and a user layer; encrypting the data in the storage layer by adopting a Blowfish algorithm and a CBC mode; defining the state and flow of each visitor in the user layer; constructing an access authority for distinguishing internal and external networks; encrypting party building data transmission in the sharing layer by adopting a transport layer security protocol TLS; wherein the storage layer comprises a main chain and a sub-chain, and distributed storage and management of data are realized through a multi-layer block chain model of the main chain and the sub-chain. According to the party building data secure storage and sharing method based on the block chain technology provided by the invention, high security and high reliability of party building data in the storage and transmission process are realized through technical means such as multi-layer system architecture design and data encryption processing.

A system and techniques for intelligent network design allows for capture and conversion of a basic network design, often manually created, into a digital format without duplication of effort. The disclosed techniques provide a faster, more intelligent approach for designing a network by analyzing many thousands of existing network designs and recommending proposed solutions based on user provided objectives. The techniques can generate provider independent code that provides flexibility in supporting arbitrary provider targets. The techniques can also output provider specific code that allow for rapid, efficient deployment of the network. In addition, the technique can output network system architecture designs of varying details that can be customized for the intended audience. The techniques provide for automated importing and updating provider changes to network components, schemas, and application programming interfaces reducing any lag in system design.

The invention discloses a system architecture model construction method and system based on a structure causal normal form template library, and belongs to the technical field of system architecture design of complex systems. The method comprises the following steps: determining at least one target template from a preset structure causal normal form template library by obtaining a modeling demand of a user for constructing a system architecture model; according to the target template, providing an interactive slot filling interface for a user, and guiding the user to fill architecture elements for slots in the target template; according to predefined causal rules and constraints in the target template, determining a causal relationship network among the architecture elements, and converting the causal relationship network into a system architecture model, namely, recommending an appropriate causal normal form template, and enabling a user to fill specific business elements through a guide type interface, so that the system architecture model is obtained. The causal relationship network is generated according to the causal rule embedded in the template, and is finally converted into the standard system architecture model, so that the threshold of complex system architecture design is reduced, and the standardization, efficiency and logic self-consistency of modeling are improved.

The invention discloses a business spaceflight intelligent warehouse management method and system. The business spaceflight intelligent warehouse management method comprises the following steps: designing a system architecture; after the system architecture design is completed, automatic identification and warehousing of arrived goods and materials are carried out; carrying out warehouse-out processing on the arrived goods and materials which are automatically identified to be warehoused; carrying out cross-warehouse transfer processing on the arriving goods and materials which are automatically identified to be warehoused; and after warehouse-out processing and cross-warehouse transfer processing, the material consumption speed is predicted. According to the method, manual input is replaced by RFID automatic identification, and block chain data storage is combined, so that manual operation errors and data tampering risks are thoroughly eliminated, the material information error rate is greatly reduced, and the data accuracy is remarkably improved.