46 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 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 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 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.

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 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.

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 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.

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.

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.

The invention discloses a UAF-based man-machine cooperation system architecture design method and a related device, and belongs to the technical field of system architecture design. The method comprises the following steps: firstly, cutting a UAF based on a meta-model DMM, and constructing a core architecture meta-model taking a mission as a center; a Profile mechanism of a UAF is adopted, and the core architecture meta-model is expanded through a construction type and a mark value; and based on the expanded core architecture meta-model, carrying out system architecture modeling according to a three-stage process of mission analysis-collaborative design-resource implementation. According to the method, the modeling complexity is reduced, the man-machine cooperation feature expression ability is enhanced, and guidance is provided for architecture design. The case verifies the feasibility of the method.

The invention provides a prefabricated part hoisting path autonomous planning method based on a satellite positioning system, and relates to the technical field of prefabricated part hoisting. Comprising the steps of system architecture design, network design, data acquisition design, data processing design, system initialization, data acquisition and transmission, data processing and analysis, hoisting path planning, hoisting operation execution and the like. The accuracy of prefabricated part hoisting path planning can be remarkably improved, and the problem of low precision of traditional manual measurement coordinate numerical values is solved.

The present invention provides a system architecture design and implementation method for a multi-MCU system, comprising a master MCU and multiple slave MCUs, wherein the master MCU and the multiple slave MCUs are communicatively connected via a parallel backplane bus; wherein the backplane bus comprises a data bus, a control bus, and an address bus; wherein: the control vertical line comprises a read-write control line, a clock control line, and an interrupt control line, wherein the clock control line is time-division multiplexed and the control direction of the clock control line is consistent with the data transmission direction of the data bus; the system architecture can effectively ensure stable communication between the master MCU and the slave MCUs in an industrial system, and the entire system architecture is simple, effectively preventing the failure of a device from affecting the operation of the entire system, and the system has high data transmission efficiency and real-time performance, good system flexibility, and strong adaptability.

This application provides a large-screen visualization system for industrial production equipment and intelligent manufacturing environments. It provides a specific system architecture design scheme for industrial production equipment and intelligent manufacturing environments, and introduces the application of a 3D visualization engine. The system has the advantages of lightweight deployment and convenient and efficient application, thus meeting the high-quality data visualization needs of industrial production environments.

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 large-scale high-throughput task query request processing method and system, and relates to the field of computer cluster scheduling. The large-scale high-throughput task query request processing system comprises a system architecture design module, a core processing mechanism module, a key configuration parameter setting module and a service operation process module. The large-scale high-throughput task query request processing system has the following technical advantages that the scheduling performance is improved through an architecture decoupling and resource isolation mechanism; the performance interference of lock competition, thread switching and frequent I / O operation in a traditional scheme on a scheduler is eliminated through architecture decoupling, the actual measurement scheduling delay is reduced by 40%-60%, the process creation overhead is reduced through a main control process merging request mechanism and maxrequest sonfork parameter regulation and control, the system throughput is improved, the resource utilization rate is optimized, and the system performance is improved. The dual memory cleaning strategy periodically cleans and keeps the timeliness to balance the query real-time performance and memory resource occupation, and the completed task is prevented from residing for a long time.

The application discloses a register configuration code generation method and device, equipment, a storage medium and a product, relates to the chip design automation technical field, and the register configuration code generation method comprises: obtaining standardized input information, the standardized input information at least includes a system address mapping table describing a system global address space allocation; the system address mapping table is analyzed, mapping relationship information and target node identification of each address segment are extracted, so that the target register to be configured and the corresponding configuration requirement are determined; the configuration requirement is associated with the corresponding register specification information, and a structured configuration data set containing complete configuration parameters is generated; and register configuration code in a target format is generated based on the structured configuration data set. The application realizes the full-process automatic generation from the system architecture design description to the register configuration code, improves the generation efficiency and accuracy of the register configuration code, and improves the automation degree.

The application discloses a kind of wellbore hoist digital twin system architecture design, modeling and data interaction method, by being oriented wellbore hoist system, analysis equipment operation mechanism, carries out the digital system modeling of whole physical attribute to wellbore hoist.By constructing multidimensional multiscale model and multi-source heterogeneous data model, build twin digital scene, in combination with virtual mapping technology realizes the dynamic mapping and visual monitoring of both virtual, physical scene;The construction of digital twin multidimensional multiscale model is to fuse physical model, behavior model and rule model, realize the update iteration and expansibility of model;Multidimensional heterogeneous data model integrates real-time data, static data and the data construction of prediction model, in combination with data communication technology realizes each level module data interaction.Integrate the above function with unity 3D as virtual engine, build digital twin application service system, complete wellbore hoist fault diagnosis and visual monitoring.The system framework level is clear in the application, model integrates multi-source information, easy to expand;Data interaction method is more efficient.

The invention discloses a basic large model truth value generation system, and the system comprises a system construction and initialization module which is used for carrying out system architecture design, model selection and training, and data preprocessing; the open vocabulary and cross-modal annotation module is used for performing user input analysis and dynamic annotation generation; the multi-modal feature fusion and semantic segmentation module is used for carrying out feature extraction and feature fusion; and the dynamic scene analysis and context understanding module is used for carrying out time sequence modeling and context analysis. According to the method, an innovative, flexible and efficient solution is provided for multi-modal data labeling through the advantages of efficient multi-modal fusion, open vocabulary support, automatic labeling process and quality control. Through wide application scenes and high-quality output, the method becomes an ideal technical choice in high-demand fields such as automatic driving and robot perception.

The invention belongs to the technical field of system architecture design, and discloses a complex equipment system architecture retrieval and adaptation method based on a matter-element theory and CBR, and the method comprises the steps: carrying out the modeling of an equipment system architecture based on SysML, carrying out the structural storage of model information according to the matter-element theory, and constructing an equipment system architecture model case library; and for a new design demand, describing the function and performance requirements in a matter element form as a target instance, constructing a similarity calculation model of the target instance based on a grey correlation analysis and information entropy theory, retrieving similar cases from the instance library and carrying out adaptation, and outputting a feasible system architecture scheme. According to the method, effective structured representation and storage of system model knowledge are realized, and rapid generation and reliable reuse of a complex equipment system architecture are supported through an intelligent retrieval and adaptation mechanism, so that the design efficiency is improved, and the development cost and dependence on human subjective experience are reduced.

An ontology-based autonomous transportation system architecture diagnostic method is disclosed, relating to the field of autonomous transportation system architecture diagnostic technology. This method addresses the problem that existing system architecture diagnostic methods, due to their reliance on specific scenarios, cannot autonomously diagnose the correctness and completeness of architecture design. The invention represents concepts in the architecture as classes, adds class hierarchies and creates class attributes, establishing a prior ontology and a diagnostic ontology for the autonomous transportation system architecture. These classes include requirement-related classes, function-related classes, and physical object-related classes. Based on the prior ontology, the method verifies the correctness of classes and their hierarchical structure in the diagnostic architecture ontology, as well as the correctness and completeness of requirement-related, function-related, and physical object-related classes. It also outputs errors present in the diagnostic architecture ontology, thereby completing the diagnosis of the correctness and completeness of the architecture design. This invention can help designers avoid potential errors during the autonomous transportation system architecture design process.

The invention relates to a system architecture design technology, and discloses a dual-computer hot standby system and an execution method, the system comprises a first node, a second node and an auxiliary node; the first node, the second node and the auxiliary node form an etcd cluster; a database is configured in the etcd cluster; the main node is configured to record corresponding first business operation information into a database in response to each business operation; the standby node is configured to periodically monitor first service operation information of the main node, and when a comparison result of the first service operation information and second service operation information of the standby node is inconsistent, data synchronization and restoration are performed according to the first service operation information; the main node is also configured to periodically update the survival state identifier in the system operation process; and the auxiliary node is configured to periodically monitor the survival state identifier of the main node and determine whether to trigger the switching between the main node and the standby node based on a monitoring result.

A command and control adaptation modeling method based on organizational contingency theory includes: acquiring the constituent elements within a defense system; setting defense system nodes based on organizational contingency theory; and setting command and control adaptation model constraints by combining OODA operational loop theory and organizational contingency theory; and determining an optimization objective based on the command and control adaptation model constraints, wherein the optimization objective is the command and control node load balancing (RMS) of the command and control adaptation model. All With equipment load balancing E; obtain the load balancing RMS of the command and control node. All By finding the minimum value of [value] and the maximum value of equipment load balancing E, the command and control adaptation model is constructed. An improved sparrow search algorithm is used to solve the model, obtaining the adapted command and control relationship matrix. Organizational contingency theory and multi-objective optimization design are organically integrated into the system architecture design process, improving the adaptability of the defense system. From the perspective of command and control relationship reconstruction, dynamic adaptation of the defense system is achieved, meeting the needs of real-time dynamic resource reorganization faced by the defense system.