66 results about "System requirements" patented technology

The invention relates to a knowledge graph and thinking chain reasoning-based complex system demand identification and management method. The method comprises the following steps of S1, constructing a system demand classification network model; s2, constructing a demand structured extraction model based on a thinking chain; and S3, constructing a general demand knowledge graph and a target graph, and complementing the target graph. Through fusion of the knowledge graph and the thinking chain reasoning technology, the problems that in the prior art, classification model precision is low, extraction model leak detection is high, and graph model universality is poor are solved, and the method is suitable for demand modeling in the fields of subways and high-end equipment.

The invention discloses a photoelectric system digital prototype function model generation method and device based on artificial intelligence, and belongs to the technical field of artificial intelligence and photoelectric system digital prototypes, and the method comprises the steps: inputting training data of an artificial intelligence model, carrying out semantic analysis, marking and key parameter extraction operation, and forming a knowledge graph; establishing a logic association and constraint relationship among the parameters; training an artificial intelligence model by using the analyzed training data, optimizing a preset general rule base of the artificial intelligence model, and constructing a photoelectric system modeling rule base and a photoelectric system artificial intelligence model; calling the trained artificial intelligence model of the photoelectric system, extracting a model demand, calling the modeling rule base of the photoelectric system, and generating a function model of the photoelectric system; and visually displaying the photoelectric system function model, modifying and updating the photoelectric system function model, and dynamically updating the optimization strategy. Different function model modeling languages can be selected according to actual system requirements, and an artificial intelligence algorithm is adjusted.

The invention discloses a model-based civil aircraft integrated modular avionics resident system design method. The method comprises the steps of S1, resident system demand modeling and demand confirmation based on a customized MBSE method; s2, performing resident application software function logic modeling based on a Simulink model; s3, performing qualitative security analysis on the resident system based on the function scene and the fault combination; the input of the step S1 comes from a technical protocol of a resident system issued by a host, and through modeling iteration, the demand of the resident system is captured and issued to the step S2; s2, feeding back a system design problem identified in the modeling process; the step S1 synchronously sends the demand of the resident system to the step S3, and at the same time, the step S3 feeds back the identified security demand and constraint to the step S1 to support system demand iteration. According to the invention, an efficient, replicable and landing design thought is provided for the integrated modular avionics residence system, the system design efficiency is improved, and the verification cost is reduced.

A system includes a host and a memory system, which includes a controller and a memory device including one or more superblocks for storing data. The host sets multiple system performance regions according to data type, on a plane which are formed by two or more system metrics. Each system performance region corresponds to at least one tier among multiple tiers of system requirements. The controller tracks the system metrics for each superblock associated with one or more read operations on the data; determines whether a condition of the system metrics is close to a boundary of a system performance region selected from among the multiple system performance regions, the selected system performance region corresponding to the data; and recycles the superblock when it is determined that the condition of the system metrics is getting close to the boundary of the selected system performance region.

The embodiment of the invention provides a design and development method and device of a functional safety product and electronic equipment, and relates to the technical field of functional safety product development. The method comprises the following steps: obtaining a product architecture and a safety requirement level planned in a functional safety product design stage; determining a system demand and a type test demand according to the product architecture and the safety requirement level; determining project management requirements according to project management requirements of the functional safety product; designing and developing a hardware part and a software part of the functional safety product based on the product architecture, the system requirements, the type test requirements and the project management requirements to obtain a prototype of the functional safety product; and testing and verifying the prototype of the functional safety product to determine that the prototype of the functional safety product meets the product architecture and the safety requirement level. According to the implementation mode provided by the invention, the product development efficiency can be improved on the basis of ensuring the reliability and the safety.

To provide an information processor, an information processing method and a program for accurately evaluating the combination of security countermeasure technologies.SOLUTION: An information processing device according to an embodiment includes a satisfaction degree evaluation unit that evaluates a satisfaction degree of a system requirement of a combination, a performance degree evaluation unit that evaluates a performance degree of the combination, and a recommendation degree evaluation unit that evaluates a recommendation degree of the combination. The recommendation degree evaluation unit evaluates a recommendation degree of a combination based on the performance degree information and the satisfaction degree information.SELECTED DRAWING: Figure 1

A method of operating an automated design system for configuring a human-machine interface (HMI) device includes a large-language model (LLM) module of the automated design system receiving a set of HMI system development metrics, including system requirements data, system objectives data, and / or source code data, and using these HMI system development metrics to generate an interaction sequence script containing a sequence of steps for executing an HMI feature on the HMI device. A system controller configures the HMI device using the set of HMI system development metrics and then generates a feedback log containing feedback data received from test clinic contributors using the interaction sequence script to test the configured HMI device. A multimodal generative artificial intelligence (AI) module generates a set of proposed HMI changes using the feedback data. The system controller then reconfigures the HMI device using a subset of HMI changes selected from the proposed HMI changes.

The application discloses a kind of production line unit modeling methods for digital twin monitoring, comprising the following steps: S1, establish production line scene data architecture;S2, establish warehouse production line system requirement diagram and monitoring application requirement diagram;S3, establish warehouse production line structure diagram, equipment structure diagram, value definition diagram, establish warehouse production line activity diagram, equipment activity diagram, equipment mathematical model;S4, establish the object node and variable of OPC UA information model;S5, establish equipment three-dimensional model in Solidwork, import three-dimensional simulation software VC in intermediate format STP;S6, define the operation flow of production line, the operation constraint relationship between each equipment;Define the independent and dependent relationship between each motion structure;S7, according to equipment mathematical model, establish corresponding data structure, determine the data source to collect data and update OPC UA information model.The application has good visualization and interactivity, and production line state feedback is timely, can effectively help manager to understand production line state, improve management efficiency.

1. Name of the product in this design: Response item for a graphical user interface of an intelligent dialogue system for electronic devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are: the graphical user interface that uses non-dashed lines to represent the interface content. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The graphical user interface of this design is used as a whole for an intelligent dialogue system, and the protected part is used for the response items of the graphical user interface of the intelligent dialogue system. Intelligent dialogue systems are representations of intelligent agents. The response items of the intelligent dialogue system include cards for presenting feedback information from multiple different models, a control bar for switching between multiple cards, and interactive controls for the control bar. In Design 1, users can click on the model icon in the interactive controls of the control bar to switch between different model feedback information cards corresponding to different model icons in order to view the detailed feedback information of different model feedback information cards. In Design 2, users can click on the model icon in the interactive controls of the control bar to switch to the card containing the feedback information of the model corresponding to the clicked model icon. The interface after clicking is shown in the changing state diagram. In Design 3, users can hover over the control bar to bring up its interactive controls, as shown in the changing state diagram. In Design 4, users can click on the model icon in the interactive controls of the control bar to switch to the card containing the feedback information of the model corresponding to the clicked model icon. The interface after clicking is shown in the changing state diagram. 7. Other situations requiring explanation: Other explanation: "X" in the interface represents a text, number, or symbol area. Content represented by dashed lines in each design is not required to be protected.

A method for operating an automated design system to configure a human-machine interface (HMI) device includes a large-language model (LLM) module of the automated design system that receives a set of HMI system development metrics, including system requirement data, system target data, and / or source code data, and uses these HMI system development metrics to generate an interaction sequence script that contains a sequence of steps for executing an HMI function on the HMI device. A control system configures the HMI device using the set of HMI system development metrics and then generates a feedback log containing feedback data received from test clinic contributors who use the interaction sequence script to test the configured HMI device.A multimodal generative artificial intelligence (AI) module generates a series of suggested HMI changes using feedback data. The system controller then reconfigures the HMI device using a subset of the suggested changes.

This invention proposes a simulation method for fluid injection and structural optimization in pressure storage vessels based on Fluent, belonging to the field of fluid simulation and pressure storage vessel design technology. By constructing a system simulation behavior model and applying the ant colony algorithm for path planning, it can accurately simulate the dynamic characteristics during the injection process. Furthermore, it uses code generation technology to automatically generate simulation configuration file code to support the execution of simulation simulations. This method aims to help engineers quickly generate optimal path solutions based on system requirements and constraints, improve the efficiency of simulation configuration file construction, and ensure data consistency and seamless integration between design and simulation.

The application discloses a high-frequency transformer robust optimization method based on 6 sigma design; comprising: determining a preliminary design scheme: combining system requirements and performance indicators, selecting core materials, structure types and winding types, and constructing a basic design framework of the high-frequency transformer; a mathematical analytical calculation model is established; a robust optimization model is established; a multi-objective iterative optimization is carried out to iteratively solve the robust optimization model; output design scheme: compare the performance parameters of all schemes, and screen out the optimal design scheme as the final design scheme of the high-frequency transformer under the corresponding application scene. The application establishes a multi-objective robust optimization model based on 6 sigma theory, realizes multi-physical field collaborative optimization and manufacturing uncertainty quantization of the high-frequency transformer, breaks through the limitations of traditional deterministic optimization, can significantly improve product consistency, development efficiency and mass production reliability, and has important industrial application value.

A generative artificial intelligence system and method of operating the same to control complex systems. In one embodiment, the method includes incorporating measures of merit into system requirements for an aerospace vehicle system to provide aggregated system requirements and measures of merit, and receiving design parameters of the aerospace vehicle system represented as stochastic variables. The method also includes executing first order physics-based engineering equations of the design parameters with the generative artificial intelligence system on the processor to produce a design for an operation of the aerospace vehicle system to meet the aggregated system requirements and measures of merit in a single iteration improving computational efficiency and reducing power consumption of the processor operating the generative artificial intelligence system.

A system is provided.SOLUTION: A system comprising: means for collecting system requirements from users; means for automatically generating a system code by a generation AI based on the collected requirements; means for holding a system construction contest by a plurality of engineers; means for evaluating systems submitted by the engineers based on evaluation criteria and selecting a winner; means for providing the winner with a prize or an admission right; and means for implementing the system using the obtained source code.SELECTED DRAWING: Figure 1

This invention discloses a model-based design method for a modular avionics-based resident system for civil aircraft, comprising: S1, resident system requirement modeling and requirement verification based on a customized MBSE method; S2, resident application software functional logic modeling based on a Simulink model; and S3, resident system qualitative safety analysis based on functional scenarios and fault combinations. The input to step S1 comes from the resident system's technical protocol issued by the host. Through iterative modeling, the resident system's requirements are captured and sent to step S2. Step S2 provides feedback on system design issues identified during the modeling process. Step S1 simultaneously sends the resident system's requirements to step S3, while step S3 feeds back the identified safety requirements and constraints to step S1 to support system requirement iteration. This invention provides an efficient, replicable, and implementable design approach for modular avionics-based resident systems, improving system design efficiency and reducing verification costs.

The invention discloses a uaf-based simulation system integrated design method, and relates to the technical field of software architecture design, the uaf-based simulation system integrated design method comprises a method layer, a model layer and a data layer, the method layer comprises a demand argumentation stage and a planning argumentation stage, and the demand argumentation stage comprises the following steps: A1, system capability conceiving; a2, system requirement generation; A3, system structure design; A4, system scheme verification; the planning argumentation stage comprises the following steps: B1, system comprehensive evaluation; b2, system planning project management; b3, comprehensively evaluating system planning; and B4, generating a system planning scheme. According to a model-based system design thought, a unified system modeling language and a meta-model technology are adopted to construct a system overall structure, system design and simulation links are opened, and bidirectional driving design of consistency of system logic design and simulation space-time sequences is realized, so that the system design level and the design efficiency are improved.

A system for an automated Quantifying System Levels of Support (QSLS) processing based on target system requirements data including a processor of a QSLS server node configured to host a machine learning (ML) module coupled to at least one user-entity node and a plurality of designer nodes over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire a user system architecture request containing conceptual system architecture data associated with the target system requirements including architecture mechanisms and a plurality of architecture view points from the at least one user-entity node; parse the user system architecture request to extract a plurality of key classifying features; query a local database to retrieve local historical system architecture's correlation sets-related data based on the plurality of key classifying features; generate at least one classifier feature vector based on the plurality of the key classifying architecture mechanism features and the local historical system architecture's correlation sets-related data; provide the at least one classifier feature vector to the ML module configured to generate an architecture predictive model for producing at least one architecture viewpoint-based parameter; and ingest the at least one architecture viewpoint-based parameter into an architecture correlation model configured to output a plurality of design correlation parameters for level of support of the architecture mechanisms of a given viewpoint from the plurality of the architecture viewpoints.

The application discloses a kind of based on RFLP's warship power steam system digital configuration design method, belong to warship power steam system design technical field, including system requirement analysis, system function analysis, logic architecture generation, logic to physical architecture mapping 4 design stages.Based on the design mode of RFLP, the basic idea is to replace document with digital modeling into system scheme design, the vocabulary, parameter of system structure, function, performance, specification and requirement described in design document are all expressed with digital model.Taking model as center, then create or generate other artifacts from it, including automatically generating document, report, chart and table.This method enhances traceability and consistency, improves design efficiency.

The present application belongs to the field of spacecraft receiving equipment, and particularly relates to a capture and demodulation method and system based on VDE signals. The capture and demodulation method based on VDE signals provided by the present application is a method with low equipment complexity, and the same process is adopted for different links, different parameters are selected, and the equipment complexity is reduced. Compared with the prior art, the present application does not distinguish whether a pilot exists in a data frame, and both data frames with and without pilots can be captured and demodulated; the selection of the maximum M path and the iteration judgment can be adjusted according to system requirements and hardware resource conditions. According to the difference between the noise mean value and the peak value, the present application completes the maximum peak capture in different signal-to-noise ratio environments.

The application discloses a data processing method for configuration file self-defined logical operation, comprising the following steps: automatically generating a configuration file by combining logic through a logical definition tool or manually editing to generate a configuration file; transmitting the configuration file to a comprehensive management device through a file transmission protocol, detecting the content of the configuration file, resetting the comprehensive management device or executing a compiling instruction; erasing a corresponding area of a memory in the comprehensive management device, compiling the content in the configuration file into a chain table structure capable of being directly called, and then re-writing the chain table structure into the memory; the comprehensive management device creates an execution task, and traverses all the content in the chain table according to the chain table structure; the application can make the output data of the comprehensive management device meet the changed system requirements by modifying the configuration file without changing the program in the comprehensive management device, and greatly improves the improvement and optimization processing speed of the system.

This application discloses a seismic data processing method, apparatus, and computer equipment, belonging to the field of geophysical exploration. The method includes: acquiring seismic data; creating a first shared project corresponding to the first seismic data on a seismic data sharing platform; acquiring the data creation environment; and, provided the data creation environment meets security requirements, setting script generation and editing permissions, where editing permissions restrict the scope of members accessing second seismic data. Security requirements include at least one of system requirements and project member requirements; and creating a second shared project corresponding to the second seismic data on the seismic data sharing platform based on the editing permissions. This approach enables the rapid creation of shared projects with low security levels and improves the management efficiency of shared projects with different security levels.

Methods, systems, and non-transitory computer readable storage media are disclosed for managing computing systems according to detect and correct configuration gaps with specific system requirements frameworks. Specifically, the disclosed system accesses a digital data repository to determine attribute values of data objects representing functions or infrastructure associated with handling target data for an entity. The disclosed system determines a digital representation of a system requirements framework that indicates controls associated with handling specific data types. Based on the attribute values and a gap rules set associated with the system requirements framework, the disclosed system determines configuration gaps to be addressed via control actions for installing controls in connection with various data assets or data processes. The disclosed system generates tasks to display via a graphical user interface of a computing device for applying modifications to the data assets and / or data processes to address the configuration gaps.

A novel method and interface are provided to generalize power delivery (PD) solutions and allow OEMs and suppliers to easily replace PD solutions using the same design and layout without having to re-spin the motherboard. This is achieved by defining a new interface and ball-out which support dual port PD solution that meet the system requirements. The embodiments employ an interposer to unify different PD solutions. The interposer is part of a unique Land Grid Array (LGA) soldered down solution with pre-defined interface employing a generic pinout to support PD solutions for dual type-C ports from different vendors. The interposer includes an LGA having a pattern of pads that is coupled to a LGA on a platform PCB with a matching pattern.

The application provides an AI large model-based end-to-end intelligent system development method and system, which comprises the following steps: S1, receiving a system requirement described by a user through a natural language; S2, analyzing the requirement through an AI large model and converting it into a formal specification; S3, automatically generating a system architecture and component division; S4, recursively generating component codes; S5, dynamically detecting and repairing the generated code problems; S6, automatically integrating all components to form a complete system; and S7, continuously optimizing the system based on system feedback or user feedback. The application automatically completes the work of requirement analysis, architecture design, module division, code writing and testing and the like, and realizes distributed integration and intelligent contract: distributed integration verification is realized through a blockchain intelligent contract and a graph database, data consistency, interface matching and safety among components are ensured, the integration process is optimized, cross-field cooperation is realized, and the development efficiency is high.

A method and apparatus for dynamically assigning keyboard scan codes during the manufacturing process of an Information Handling System (IHS). The method involves loading an operating system onto the IHS, utilizing a diagnostic tool to read customer order data, and determining appropriate keyboard scan code settings based on the order data and operating system requirements. The default BIOS scan codes are then modified to align with these settings, enabling the use of a generic keyboard to support multiple configurations and ensuring all keys have defined functions relevant to the operating system and customer preferences.

The invention provides an automatic testing method and platform for an embedded system, and the method comprises the steps: obtaining a demand document of the embedded system, and uniformly converting the demand document into a JSON file in a predetermined format through the analysis of the demand document; importing a JSON file, and respectively generating a test case, a test code and a test script based on a preset generation rule in the JSON file; loading the generated test case, executing the corresponding test scripts in sequence through a shell command according to the number of the test case, and recording a test log and a test result in the test report when the test case is executed; and after the test scripts of all the cases are executed, collecting execution information of each test case and automatically generating a test summary report. Through the scheme, the jump process of the internal variable and the state machine can be obtained, unified generation of the test case and the test script based on the demand document is realized, and the execution process of the test script can be simplified.

The application provides a cross-level requirement traceability link construction method and system of an embedded system, constructs a requirement meta-model, performs structural analysis on system-level requirements and component-level requirements written in natural language, generates semantic instances conforming to the requirement meta-model definition, constructs an environment semantic model for identifying three types of semantic relations, namely, is-a, part-of and causes, between different environment variables, according to the structural characteristics of component-level requirements in function implementation, distinguishes two types of requirements, namely, independent type and dependent type, performs system requirement reasoning based on the environment semantic model, calculates the semantic similarity of input and output signals according to expected system requirements and existing system requirements, and performs system requirement matching. The application can effectively solve the problems of link breakage and mismatching caused by heterogeneous terms, semantic ambiguity and complex one-to-many mapping in the development of embedded systems while ensuring that the traceability accuracy is optimal.

The invention belongs to the technical field of fusion management, and discloses a method for constructing a multi-system fusion management model based on a program file, which establishes a fusion management system suitable for different system requirements and multi-professional field operation through fusion, solves the problem of a system fusion file framework, and improves the management efficiency. And the problems of incoordination and inconsistency among the management systems and'several systems and several skins' are eliminated. Through implementation and operation of the fusion management system, the problems needing coordination and communication in daily work are obviously reduced, and main problems existing in operation of an original management system in various audits in the current year are basically eliminated. Through fusion, the program file is supplemented and perfected, the working relation is further straightened out, the work responsibility is clarified, the working efficiency is improved, and a fusion system construction new thought taking the program file as the fusion core and taking program file management and maintenance as the key point is formed.

A Universal Flash Storage (UFS) host controller supporting input / output virtualization (IOV) is disclosed. The host controller comprises a programmable Function ID (FID) to Stream ID (SID) mapping unit configured to assign unique stream IDs to physical and virtual UFS Host Controller Interface (UFSHCI) functions. The mapping unit includes registers accessible only within the physical UFSHCI's address space, allowing exclusive control by the host operating system. When a data transfer request is received, the host controller maps it to an assigned stream ID based on the programmable mapping. A UFS device coupled to the host controller validates received stream IDs before executing data transfer requests. This mechanism enables isolation of data streams between virtual functions, enhancing security in virtualized storage environments and accommodating evolving system requirements.

Methods, systems, and non-transitory computer readable storage media are disclosed for facilitating modification of components of artificial intelligence computing applications via aggregated risk scores of individual artificial intelligence computing application components. The disclosed system generates data objects representing the artificial intelligence computing application components. The disclosed system determines mappings between the data objects based on relationships of the artificial intelligence computing application components. Furthermore, the disclosed system generates risk scores for the data objects representing the components of the artificial intelligence computing application by administering risk assessments that correspond to a system requirements framework. The disclosed system also generates an interactive aggregated risk indicator indicating contributions of the components to the artificial intelligence computing application in relation to the system requirements framework by combining the risk scores of the data objects according to the mappings between the data objects.