107 results about "System requirements" patented technology

Methods, systems, and non-transitory computer readable storage media are disclosed for managing computing systems to comply with system requirements frameworks that indicate specific requirements on how the computing systems should handle certain data types. In response to detecting a change to one or more digital data requirements of a system requirements framework, the disclosed systems access a configuration profile of an entity and utilize a large language model to determine if data assets or data processing operations comply with the changes to the digital data requirements. In response to determining a configuration gap of the configuration profile based on detected changes to the digital data requirements, the disclosed systems utilize a large language model to generate tasks for correcting the configuration gap. The disclosed systems generate one or more tasks by modifying data assets, data processing operations, or other digital data associated with the entity.

The invention provides an end-to-end intelligent system development method and system based on an AI large model. The method comprises the following steps: S1, receiving a system demand described by a user through a natural language; s2, analyzing the requirements through an AI large model and converting the requirements into formalized specifications; s3, automatically generating a system architecture and dividing components; s4, generating each component code in a recursive manner; s5, dynamically detecting and repairing the generated code problem; s6, automatically integrating all components to form a complete system; and S7, continuously optimizing the system based on system feedback or user feedback. According to the method, work of multiple stages such as demand analysis, architecture design, module division, code writing and testing is automatically completed, distributed integration and smart contract are performed, distributed integration verification is performed through a block chain smart contract and a graph database, data consistency, interface matching and security among components are ensured, the integration process is optimized, and the integration efficiency is improved. Cross-domain cooperation is achieved, and the development efficiency is high.

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.

Methods and systems are described that use artificial intelligence (AI)-based natural language processing (NLP) techniques to rapidly analyze, merge, and / or identify relationships between systems engineering artifacts (e.g., system requirements, system architecture descriptions, research requirements, risk assessments, etc.) to accelerate systems engineering program management, technical capability development, and acquisition initiatives associated with systems engineering projects.

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 for optimizing slide pick basket operations, wherein the system includes at least a robotic arm, at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to perform an orientation check on a plurality of slides in a pick basket, wherein performing an orientation check includes receiving visual data, identifying an orientation of a first slide of the plurality of slides as a function of the visual data, and verifying that the orientation of the first slide aligns with a system requirement, pick the first slide of the plurality of slides as a function of verifying that the orientation of the first slide aligns with the system requirement, and place the first slide at a scanner.

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.

Embodiments of the invention are directed to systems, methods, and computer program products for automatically enabling features in a software production environment. In some embodiments, the method includes defining, using a configuration scanning function, a plurality of features in a production environment, where each feature of the plurality of features includes a feature activation status, and activating, during a code delivery process, at least one feature of the plurality of features based on an output of a machine learning algorithm. The method may also include defining, using a code scanning function, a set of system requirements associated with a source code. The configuration scanning function and the code scanning functions may each be configured to provide at least one input of the machine learning algorithm.

The present invention discloses a high-speed real-time transmission implementation system and method based on the RapidIO protocol, comprising a data exchange module that is simultaneously connected to a source device and a destination device, the data exchange module comprising an FPGA chip, the source device and the data exchange module exchanging data via a serial transceiver, the data exchange module and the destination device exchanging data via a RapidIO interface, and the serial transceiver and the RapidIO interface both being connected to the FPGA chip via a cache module. The system of the present invention is highly flexible, highly scalable, and easy to transplant. The present invention can increase or decrease the interface between the source device and the data exchange module FPGA, and the interface between the data exchange module FPGA and the destination device according to system requirements, and adjust the data transmission bandwidth by increasing or decreasing the interface. The present invention takes into account both high bandwidth and real-time performance, adopts multi-channel transmission, increases the transmission speed, and improves the transmission efficiency.

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.

A method for designing an automation system having a plurality of nodes in an IVD environment is provided. The method can include receiving system requirements, receiving node requirements, receiving node information for at least one of the nodes, and determining a number of modules that together can achieve the node requirements based on the node information for the at least one of the nodes. At least one of the node requirements is based at least in part on one of the system requirements.

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

The invention provides a micro-service creation method and device. The method comprises the following steps: acquiring an input design document associated with a first business processing system; creating a plurality of initial micro-services in the first business processing system according to the input design document; wherein each initial micro-service comprises a code engineering framework and an interface implementation code; and in response to completion of creation of the interface implementation code of each initial micro-service, performing unit testing on each initial micro-service, and synchronously filling a code engineering framework of each initial micro-service with the business processing code matched with the corresponding system requirement to obtain the first micro-service, thereby greatly shortening the development period and improving the development efficiency. Therefore, the system can respond to business changes more quickly, and the accuracy and applicability of the system are improved at the same time.

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.

The application belongs to the technical field of solid-state remote power distribution device uniform type of aircraft electromechanical system, and particularly relates to a solid-state remote power distribution device uniform type design method and system. First, system requirements are collected, all power loads needing solid-state remote power distribution device secondary power distribution are divided according to locations, the rated current of all SSPC channels is obtained, and the rated current is upwardly compatible. The SSPC channels in the bus control mode and the SSPC channels in the override control mode are collectively classified as type 1. Each power output of the solid-state remote power distribution device is only bound with the power busbar input in the current location and is decoupled with the power supply on the aircraft. The uniform type is performed from four aspects of power distribution load area, SSPC channel current size, SSPC channel control mode and SSPC channel belonging busbar, so as to ensure that the hardware and software of the same type device are completely the same, the device is installed in different locations according to the recognition of the machine position, different software is executed, and the design cost, later stage support cost and management cost can be reduced.

The invention discloses a configuration adjustment method and device, a readable storage medium and a computer program product, and relates to the technical field of communication, and the method comprises the steps: sending first information to a second network device before coverage configuration adjustment is carried out based on first coverage configuration information, the first information is used for indicating coverage configuration adjustment related information of a target object, and the target object comprises at least one of the following items: a first network device, a cell under the first network device, and a beam corresponding to the first network device. According to the scheme, the coverage configuration adjustment related information is interacted with other network equipment before the coverage configuration adjustment, so that the coverage configuration adjustment conflict is avoided, and the coverage configuration adjustment is ensured to meet the system requirements.

To provide a device for automatically constructing a system operation mechanism, that monitors a system, and generates configuration information of the system so as to generate a required recovery procedure according to a monitoring result.SOLUTION: Means for designing a fault tolerance mechanism generates configuration information of a system satisfying given system requirements, so as to satisfy conditions of generating a recovery procedure of each constituent comprised in the system, and generates a recovery procedure of a constituent in which a fault has occurred, when failure has occurred in any of the constituents. Means for generating a state monitoring procedure generates a state monitoring procedure that is a collection of concrete confirmation tasks for confirming a state of individual constituents comprised in the system. Fault corresponding means monitors the system by using the state monitoring procedure.SELECTED DRAWING: Figure 19

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.

1. Name of the product of this design: Dialog box of a graphical user interface of an intelligent dialogue system for an electronic device. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the interface content expressed by non-dotted lines in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base 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 claimed part is used for a dialog box of the graphical user interface of the intelligent dialogue system, which is a representation of an intelligent agent. In Design 1-7, users can view the dialogue content on the interface shown in the main view. They can also hide the dialogue input items (e.g., the content of the dialogue question asked by the user) on the interface shown in the main view by clicking, swiping, or shaking the electronic device. The interface changes to the interface shown in the change state diagram. At this time, users can redisplay the dialogue input items by clicking, swiping, or shaking the electronic device. The interface changes back to the interface shown in the main view. In Design 8, users can view the dialogue content on the interface shown in the main view. They can also hide the dialogue input items (e.g., the content of the dialogue question asked by the user) on the interface shown in the main view by clicking, swiping, or shaking the electronic device. The interface changes from the interface shown in Change State Figure 1 to the interface shown in Change State Figure 2. In the interface shown in Change State Figure 2, users can redisplay the dialogue input items by clicking, swiping, or shaking the electronic device. The interface then changes back to the interface shown in the main view. In Design 9, users can view the indicator of hidden dialog input items and the answer options for the dialog input items on the interface shown in the main view. 7. Other situations requiring explanation: Other explanation: "X" in the interface represents text, numbers and / or symbols. The protected design does not include the interface content indicated by dashed lines in each design or the number of "X" symbols.

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 method, apparatus, device, and medium for deploying machine learning models based on Kubernetes (k8s), belonging to the field of cloud computing and machine learning technology. The technical problem this invention aims to solve is how to adapt to different model formats and frameworks, automatically select the runtime environment, and load the model. The technical solution adopted is as follows: S1. Create model service runtime images for different training frameworks; S2. The model service runtime image loads model files from the / mnt / models directory; S3. Build the model service runtime image and push it to a Dockhub or private Harbor image storage platform, generating a corresponding image address for use; S4. Install and configure the Golang environment and the make command-line tool to compile and build the source code; S5. Download and unzip kubebuilder according to system requirements; S6. Use kubebuilder to build a k8s CRD named serverruntime; S7. Package and deploy serverruntime to the cluster; S8. Bind the correspondence between different training frameworks and the model service runtime image.

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.

A method implemented by a computer system executing instructions for semiconductor design simulation is disclosed. The method includes generating a plurality of floorplan plans that differently place a plurality of circuit blocks, generating a plurality of power models from the plurality of floorplan plans, and selecting a layout corresponding to one of the plurality of floorplan plans by selecting at least one power model from among the plurality of power models that satisfies system requirements.

The invention discloses a supervision and control method for a simulation automatic driving system based on automaton learning, which is used for solving the problems of response delay and safety guarantee in the automatic driving system, and comprises the following steps: 1) operating a simulation system to obtain historical data of an automobile; 2) discretizing historical data into an input and output track set; 3) adopting a MoreMI algorithm to construct a controlled system model; 4) constructing a system demand model; 5) converting the Moore machine into a deterministic finite state automaton; according to the method, the original system design does not need to be changed, the system can be optimized and upgraded only by adding the supervision control module, the implementation cost and the technical threshold are reduced, and safety accidents caused by response delay of the controller can be effectively prevented.