141 results about "System requirements" patented technology

The invention discloses a power grid dispatching method and system adapting to power system requirements, and relates to the field of industrial big data, and the method comprises the following operation steps: S1, multi-source heterogeneous data collection and edge preprocessing; s2, knowledge graph construction and data fusion; s3, load prediction and renewable energy output prediction based on deep learning; s4, generating a dynamic optimization scheduling strategy; s5, carrying out security and credible execution on the data endowed by the block chain; and S6, real-time monitoring and closed-loop feedback optimization are carried out. According to the power grid scheduling method and system adapting to the power system demand, the scheduling method integrates edge calculation, block chain, deep learning and reinforcement learning, can realize multi-source data real-time processing, dynamic optimization strategy generation and data security and credibility, improves the power grid operation efficiency, stability and renewable energy consumption capability, and improves the power grid scheduling efficiency. And the dynamically optimized scheduling strategy can reduce the operation cost of the power grid, and can reduce carbon emission at the same time.

The invention discloses a virtual power plant optimization system and method, and the system comprises a virtualization platform module which is used for integrating distributed energy, energy storage equipment, an electric vehicle, a flexible load and other resources, and achieves the virtualization and centralized management of the resources; the dynamic resource aggregation module is used for dynamically matching resource characteristics with power system requirements; the market transaction module is used for optimizing the earnings of the virtual power plant; and the core algorithm module is used for optimizing the load prediction precision. The market transaction module implements two-stage market bidding based on a multi-agent game model, analyzes the uncertainty of quotation of competitors through a multi-scene simulation technology, optimizes a dynamic transaction strategy, and achieves the maximization of spot market benefits and the controllability of risks. Through cooperative work of a virtualization platform module, a dynamic resource aggregation module, a market transaction module, a core algorithm module, a security management module and the like, efficient management of resources and maximization of market benefits are realized.

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.

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.

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 discloses a decision planning system-oriented simulation test scene automatic generation method. The method comprises the steps of scene modeling: constructing a scene model by using a deep learning model; constraint generation: based on an output result of the scene model, utilizing a reinforcement learning model to generate a constraint condition; performing optimization search: based on the scene model and the constraint conditions, generating scene parameters meeting constraints by adopting a Bayesian optimization algorithm; and scene evaluation: evaluating the system performance by using the deep reinforcement learning model. According to the simulation test scene automatic generation method facing the decision planning system, manual intervention is reduced through an automatic method, and the scene generation efficiency is improved; diversified and high-coverage test scenes are generated, the scene diversity is enhanced, and the robustness of the system is comprehensively tested; constraint processing is optimized by efficiently processing complex constraint conditions, and it is ensured that a generated scene meets system requirements; and comprehensive system performance evaluation is provided, multi-dimensional evaluation is realized, and the performance of the system in different scenes is reflected.

The invention discloses a configuration processing method and device of a hyper-converged system, a storage medium and electronic equipment, and relates to the technical field of computer hardware, and the method comprises the steps that specified configuration information of a server is acquired, and the specified configuration information is configuration information of a basic input and output system of the server; the specified configuration information is analyzed, actual configuration values of a set of specified configuration items are obtained, and one specified configuration item in the set of specified configuration items corresponds to one function provided by the hyper-converged system; in a set of specified configuration items, under the condition that at least one configuration item with the actual configuration value inconsistent with the expected configuration value exists, the actual configuration value of the at least one configuration item is modified, and therefore the difference between BIOS configuration and the hyper-converged system requirement can be automatically detected and corrected; the configuration processing method of the hyper-converged system in the related technology has the problems of low deployment efficiency and poor reliability caused by high deployment complexity.

The invention provides an engine software FADEC demand-oriented modeling analysis and test case automatic generation method, and belongs to the field of aero-engine control. According to the method, DeepSeek is used for assisting preprocessing at the system demand level, and modeling work based on a formalized table is completed; through multi-level demand model analysis, vulnerabilities existing in the demand are automatically detected; and finally, automatically generating a test case set meeting DO-178C airworthiness requirements by establishing a grammar logic architecture. The method focuses on formalized verification work of an engine software FADEC demand level, by using an executable model, defects appearing in the demand or design process can be effectively found, errors can be eliminated in time, test cases are automatically generated, and therefore rework and iteration cost in the later period of development is greatly reduced.

The invention discloses an equipment control device and method, a storage medium and electronic equipment, and relates to the technical field of computers, the device comprises a plurality of switch boards, and each switch board comprises a first controller, a first logic device and a plurality of switch chips; the first controller is connected with a first port of the first logic device; a second port of the first logic device is connected with a first port of the switching chip; a third port of the first logic device is connected with the first circuit board; a second port of the switch chip is connected with a plurality of heterogeneous acceleration cards; the first controller is used for controlling a target acceleration card in the heterogeneous acceleration cards, and the target acceleration card and the first controller are connected with the same switching board. Compared with the prior art, the system requirements of a plurality of heterogeneous acceleration cards can be met, the heterogeneous acceleration cards are controlled by utilizing the controllers on the switching boards, a controller on a host does not need to be called for control, the control efficiency of the heterogeneous acceleration cards is improved, and then the performance of the whole machine is improved.

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 meteorological data source credibility proving method based on a block chain, and provides a new data source credibility proving mechanism by utilizing the characteristics of tamper resistance, forgery resistance and loss resistance of the block chain and combining signature verification and hash operation algorithms in cryptography. According to the mechanism, credibility and data delivery validity verification can be accurately carried out on delivery data recorded by a data provider; according to the patent, transaction / shared data is converted into a pre-agreed intermediate format (a character set, a coding mode and an XML / JSON data structure expression mode) and is stored in a file form. And after receiving the data, the data user converts the data into a self system format according to self system requirements, so that the correctness of data information expression is ensured. Through the overall transmission of the data packet, the accidental missing and tampering of the data in the transmission process between the two handover parties are effectively avoided.

Disclosed in the present invention are a network traffic collection method and system based on a cloud-based environment. The present invention solves the problems of existing traffic collection being invasive to a monitored system, and having system and software dependency requirements, poor adaptability, and high consumption of computing and network transmission resources. A mirror virtual switch and a virtualized instance agent node are created at a computing node. By mirroring traffic by means of a patch port of a virtual switch, monitoring node data is diverted to the mirror virtual switch, and then is forwarded to the virtualized instance agent node by means of the mirror virtual switch; network traffic data is stored as in a file format, and is forwarded to a data security monitoring platform for monitoring a virtualized instance event in real time, and when the event changes, a flow table of the virtual switch is adjusted on the basis of a monitoring policy. According to the present invention, traffic monitoring is implemented in a software manner, and virtualized instance traffic is collected before packet modification, facilitating the accuracy of security event judgment, involving no intrusive modification to an instance, and no system requirement, and occupying few resources.

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.

The invention relates to a dynamic resource aggregation scheduling method and system for a virtual power plant and a medium, and the method comprises the following steps: S1, building a virtual power plant (VPP) system model; s2, power system requirements and technical constraints are determined; s3, performing preliminary scheduling on various energy sources in the virtual power plant by using a random mixed integer linear programming model; s4, quantifying the system contribution of the distributed resources by using a VCG (Vickrey-Clarke-Grove) mechanism in a cooperative game theory; and S5, according to the quantitative result and the real-time data, dynamically adjusting scheduling schemes of various energy sources in the virtual power plant with economic benefit maximization. According to the method, the aggregation efficiency of virtual power plant resources can be effectively improved, and the overall energy utilization efficiency and the operation stability of a power grid are improved.

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.