80 results about "Scenario" patented technology

The invention discloses a scene granularity interface test case generation method based on multiple agents, and the method comprises a plurality of large language model agents and related components, namely context memory, an observer, a decision maker, an executor, a supervisor, a recorder and a to-be-tested application. An observer identifies the interface control, detection and attribute identification of the control are effectively focused, and it is ensured that accurate data input is provided for subsequent testing steps. Based on the output of an observer, a decision maker generates a detailed plan of the next operation according to the current page state, and an operation strategy can be independently formulated, so that test generation is supported by business scene logic. And an executor analyzes and executes the generated plan operation, carries out test operation strictly according to the plan, and ensures the traceability and repeatability of the test process. Furthermore, the supervisor verifies whether the operation is executed according to the plan and meets the requirements of the target scene, and makes corresponding feedback according to the check result, thereby ensuring that the wrong operation is corrected in time, avoiding the continuous accumulation of errors, and ensuring the effectiveness of each test step. The recorder is responsible for storing the execution instruction and the context information of the test process to the context memory, and the operation history and result in the test process can be traced through the test context information, so that a better decision can be made in the subsequent iteration, and the result export after the test is completed can be effectively supported. And after the recording is finished, the test generation enters the next iteration until the coverage of the test scene is finished.

The invention relates to the technical field of agent construction, in particular to an agent construction method based on a large language model, and the method comprises the steps: S1, configuring a scenarized execution specification which comprises the steps: receiving constraint information of an execution component in a scene according to a preset scene; converting the constraint information into a structured cue language which can be understood by a large language model, and generating a standard verification rule base which can be analyzed by an execution component; and storing the structured prompt words and the standard verification rule base. According to the method, by configuring the scenarized execution specification, the constraint information of the execution component is converted into a structured cue which can be understood by a large language model and a specification verification rule base which can be analyzed by the execution component, and the problems of non-explicit constraint such as inconsistent parameter naming and non-standardized data type are solved.

The invention relates to the technical field of software engineering, and discloses a system-based chaos test method, device and equipment, a medium and a program product. The method comprises the following steps: splitting the distributed metadata system into a plurality of subsystems to be tested; determining test data corresponding to each to-be-tested subsystem and a corresponding test scene: a fault type, a fault node and fault interval time; determining a test case set based on the test scene and the test data corresponding to each to-be-tested subsystem: a test case corresponding to each to-be-tested subsystem and a test case corresponding to the to-be-tested system; and executing the test case set, and determining whether the corresponding test data is correctly read and written and whether the service on the fault node is correctly operated so as to determine a test result. According to the invention, the complex distributed metadata system is decomposed into a plurality of to-be-tested subsystems, the test scene is customized according to the functional characteristics of different to-be-tested subsystems, and the targeted chaos test is carried out, so that the test efficiency is improved.

The invention relates to the technical field of network security, and discloses a network security event script development method and device and a storage medium, and the method comprises the steps: obtaining a corresponding attack scene, a defense strategy and a development node from a preset script material library; running a preset development model, inputting the attack scene, the defense strategy, the node type, the node function and the development node into the development model, and generating a trial version event script; and verifying the defense effect of the trial version event script through script trial operation, dynamically replacing the development node based on a verification result, and outputting a formal version event script. The device and the storage medium correspond to the method. Through the closed-loop design of development model construction, intelligent script generation, multi-dimensional defense evaluation and dynamic replacement optimization, the problems of high manual dependence, low response speed, one-sided defense effect and the like in traditional network security script development are solved, and the automation level, real-time adaptability and resource efficiency of network security event response are improved.

[Problem] To support automation of a test. [Solution] This information processing system is characterized by including: a scenario generation unit for generating a scenario of a test by giving a first prompt instructing generation of the scenario to a large-scale language model on the basis of a test case describing an outline of the test; and a script generation unit for generating a script by giving a second prompt to the large-scale language model, the second prompt instructing generation of the script that causes a computer to execute the test on the basis of the scenario.

The invention discloses a scenario generation method and system based on a large language model, and relates to the technical field of computers. By designing the scenario generation system comprising a scenario generation subsystem, a scenario setting subsystem, a scenario deduction subsystem and a scenario management subsystem, based on a large language model, a process of quickly generating a simulation scenario in a manner of retrieval enhancement generation or combat scenario text conversion is realized; moreover, the system has the functions of scenario editing, scenario deduction, scenario management and the like, achieves a workflow closed loop of intelligent generation, editing management, deduction inspection and modular storage, and improves the scenario generation efficiency and the intelligent level.

The invention relates to the field of federated learning privacy security, in particular to a method for realizing member inference attack by controlling convolution kernel parameters. Firstly, an attacker designs convolution kernel parameters according to feature distribution of a part of a convolution region of a target sample, then records a non-zero gradient position of the target sample on a convolution kernel after back propagation, and sends a global model to a participant for local training, and finally, when the participant uploads a model update, the target sample is updated. And an attacker compares whether the non-zero gradient position of the manipulated convolution kernel is consistent with the recorded non-zero gradient position, so that member inference attack is implemented in a federated learning scene, and the technical problem that the traditional member inference attack cannot fully utilize a federated learning framework to improve the attack performance is solved.

To provide a system.SOLUTION: A system includes: first means for receiving input of a scenario to be text information describing a content and a structure of a material a user wants to create; second means which generates a first prompt statement for outputting a story of the material on the basis of the scenario; third means which inputs the generated first prompt statement to a generative AI model to generate the story; fourth means generating an advertisement material on the basis of the generated story; and fifth means providing a user with the generated story and advertisement material.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of software engineering, and particularly relates to a field-oriented environment association type scene software development method and system. The software development process is divided into three stages of field customization, scene configuration and application development, and a corresponding development system is provided and comprises a meta-tool environment, a field development platform and a scene application development platform. In the field customization stage, the meta-tool environment is used, and configuration is customized for a specific field to obtain a field development platform; in the scene configuration stage, environment-related scene configuration is carried out on the field development platform, intermediate representation of physical equipment is established, configuration access of various Internet of Things platforms is achieved through description, and the field development platform is configured as a scene application development platform; and in the application development stage, development of software in multiple fields is realized by multiplexing the environment-related scene. According to the method, the environment elements in the scene can be quickly configured, and the efficiency of developing and deploying customized scene software is improved.

The invention discloses a simulation scene generation method and device based on a large language model, and the method comprises the steps: S1, constructing a fine tuning model based on a preset first large language model and a second large language model; s2, acquiring a user scene description text; s3, processing the user scene description text by utilizing the fine tuning model to obtain an MSDL simulation text set; and S4, performing simulation evaluation processing on the MSDL simulation text set to obtain an optimal evaluation value and an optimal MSDL text. According to the method, deep reasoning can be carried out on a high-level natural language intention in combination with domain knowledge, and a standardized and executable optimal simulation scene and a corresponding evaluation value are automatically generated.

The invention provides a method and a device for realizing list operation based on heterogeneous cyclic dialogue and a medium, and relates to the technical field of computers. The method comprises the following steps: acquiring an original list, a plurality of predefined operation dimensions and a plurality of predefined operations; the method for executing multiple rounds of dialogues based on heterogeneous circulation with a user comprises the steps that an Nth round of user dialogue instruction is received, a first operation dimension, a first operation and a pointed object list in the Nth round of user dialogue instruction are recognized, the first operation is executed on the first operation dimension in the object list to obtain an Nth round of execution list, the object list is an original list or an execution list of a certain round in previous N-1 rounds. The heterogeneous cyclic dialogue with the user is realized based on list interaction, some lists obtained in the multiple rounds are taken as the basis of a new round of dialogue according to the user dialogue instruction, and the method can adapt to a complex dialogue scene of thinking jump of the user.

The invention relates to a computer-implemented method for generating test scenarios for testing a technical system, comprising the steps: a. providing a search space (10) (S1); wherein the search space (10) is defined by an operating design area (20), ODD; wherein the operating design area (20) comprises a plurality of elements (22); wherein the technical system is operated in the operating design area (20); b. generating at least one first test scenario based on the search space (10) (S2); wherein the at least one first test scenario comprises at least one first element of the plurality of elements of the operating design area (20), ODD; wherein the at least one first test scenario examines at least one corresponding dimension (12) of the search space (10); c. generating at least one associated first test result by executing the at least one first test scenario (S3); d.Evaluating the at least one associated first test result (S4); e. Generating at least one further test scenario based on the search space (10) taking the evaluation into account (S5); f. Repeating steps c. to d. with the at least one further test scenario and e. until the search space (10) is exhausted (S6); and g. Providing the at least one first test scenario, the at least one further test scenario and / or the corresponding test results (S7). Furthermore, the invention relates to a technical system and a corresponding computer program product.

This application belongs to the field of software simulation, and specifically discloses a method, system, and device for constructing a CAE software. The method includes: determining the simulation scenarios that the current version of the CAE software needs to support to determine the functions it needs to support; determining multiple sub-function modules that need to be added to the CAE software according to the functions to be supported; constructing at least one of the multiple sub-function modules using a data-oriented software design architecture; when all the multiple sub-function modules are constructed, completing the iteration of the current version of the CAE software to obtain an updated version of the CAE software; the updated version of the CAE software supports the above-mentioned simulation scenarios. Through this application, the problems of software complexity and performance caused by the coupling of multiple functional modules in the CAE software architecture are solved, thereby improving the development efficiency of the CAE software, enhancing software quality and execution performance, and improving the simulation experience of users.

The invention discloses an enterprise digital transformation scheme generation method and device, and relates to the technical field of enterprise development analysis, and the method comprises the steps: S1, constructing an industry knowledge base; s2, pre-training the large language model; s3, finely adjusting the pre-trained large language model; s4, acquiring datamation basic information and query problems of the target enterprise; s5, performing retrieval in the industry knowledge base, and generating a retrieval enhancement result; s6, splicing the enhancement result and the query problem to obtain a splicing result; s7, outputting a result by the fine-tuned large language model; by performing fine adjustment on the pre-trained large language model, the resource consumption in the fine adjustment process is remarkably reduced, and the capturing capability of the model on industry characteristics and enterprise personalized demands is improved; the problems of knowledge illusion and lag caused by the fact that a traditional scheme depends on a static template are effectively solved. And the finally output digital transformation scheme text can have stronger professionalism and scene adaptability.

This invention provides a method and system for implementing a simulation interaction process between a PLC and an MES in the MES field. The method includes: S1: defining trigger signals and writing a business scenario signal interaction flowchart; S2: writing trigger signal scripts to implement business processing feedback logic; S3: configuring a signal generator; S4: configuring multiple workstations and specifying the line-start workstation as the entry point for the program; S5: importing the trigger script and generator configuration into the main program and starting the program; S6: debugging and verifying the PLC or MES program through process-driven execution, completing the debugging from a single workstation to the entire line of workstations. This invention achieves MES and PLC interaction process simulation through signal-triggered simulation. Whether it's the MES or PLC, process simulation is implemented during the development and design phase, correcting obvious errors in the design phase, advancing the debugging process, shortening the implementation cycle, and reducing economic costs.

This application provides an AR application method and system based on CATIA software modeling. The method utilizes the secondary development environment of Navisworks software to convert the CATProduct file (CATIA's unique output format) into an NWC file. Then, Navisworks' secondary development is used to extract the geometric, material, and attribute data from the NWC file model, outputting the analytical results, which are then loaded into the AR application. This application uses a low-cost and lossless analytical method to convert CATIA data into a data type recognizable by AR applications, helping AEC-related enterprises reduce costs and increase efficiency, expand AR application scenarios, and improve user satisfaction with model AR applications.

1. The name of this design product: Trusted project-based multi-scenario application all-in-one machine. 2. Purpose of this design product: This design product is used for portable installation of multi-scenario application all-in-one machine. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

This invention provides an artificial intelligence-based software refactoring method. The method includes: acquiring the current code data and user data of the software to be refactored; determining a target refactoring strategy based on the current code data and user data; generating refactoring code data corresponding to the target refactoring strategy based on a large language model; and refactoring the software based on the refactoring code data to obtain the target software. This invention analyzes code data and user data, considering both the code problems of the software to be refactored and user business expectations, to generate a target refactoring strategy that balances technical optimization and business needs. This avoids the problem of the separation between technical optimization and business goals in traditional methods, ensuring that the refactored code accurately matches the user's actual business scenario while optimizing technical indicators, reducing the cost of secondary modifications due to misunderstandings of requirements, and thus improving the accuracy and efficiency of software refactoring.

A system and method for validating expectations based on a set of specifications is provided. The invention comprises receiving, a set of specifications, a set of expectations, and a set of requests. Further a set of scenarios are generated based on the set of specifications. The set of expectations are compared with the set of scenarios. A set of valid and invalid expectations from the set of expectations are identified based on the comparison and stored. The received requests are services based on the set of scenarios and the set of valid expectations. While servicing, the set of specifications are monitored to identify any changes and the set of scenarios are dynamically updated. The set of expectations are compared again with the updated scenarios, to identify updated set of valid expectations. Further set of new requests are serviced based on updated set of valid expectations and updated scenarios.

This application provides a method and system for intelligent interaction state tracking and reasoning applied to multi-turn dialogues, relating to the field of natural language processing technology. First, it retrieves the initial interaction state of the multi-turn dialogue, covering the user's initial needs, the system's initial response location, and dialogue scenario-related content. Then, it captures the state evolution triggering conditions for each round of interaction. Next, it constructs a bidirectional correlation evolution model based on the initial interaction state and triggering conditions to characterize the correlation and influence between preceding and subsequent interaction states. The current interaction state is derived through this model, integrating the state evolution results of all rounds and the bidirectional correlation influence. Finally, a dynamic guidance strategy is generated based on the current interaction state, adapting to subsequent interaction trends and adjusting the preceding correlation logic in reverse. This invention improves the intelligence and coherence of multi-turn dialogues.

This application discloses a security protection method, device, storage medium, and electronic device. The method includes: analyzing the source code of the target program by combining the business semantics of the target program, the kernel semantics of system calls, and the scenario semantics of program execution; generating a system call whitelist; forming a three-dimensional semantic constraint rule set based on the linkage relationship between business semantics, kernel semantics, and scenario semantics; binding the protection strategy to the running process of the target program to intercept system calls initiated by the process that are not on the system call whitelist; collecting the runtime business semantics, kernel semantics, and scenario semantics of system calls within the system call whitelist to generate a system call sequence; determining deviation items based on the system call sequence and the three-dimensional semantic constraint rule set; dynamically quantifying and evaluating the deviation items to obtain a risk level; and implementing corresponding permission control or blocking operations on the process according to the risk level to achieve runtime security protection for the target program.

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

The invention discloses a lightweight responsive state synchronization method and device, and a medium, belongs to the technical field of Vue frames, and is used for solving the technical problems that the complexity of a state management architecture of an existing Vue frame is too high, the deep nested state response delay is significant, and the lightweight scene adaptability is poor. The method comprises the following steps: carrying out lightweight state configuration on a Vue root instance, and determining a first configuration strategy; through a double-layer agent mechanism and a dependency compression algorithm, performing data configuration of a related response type agent layer on the Vue framework, and determining a second configuration strategy; carrying out carrying configuration of a state synchronization engine on the Vue framework, and determining a third configuration strategy; performing data cache configuration on the Vue framework according to an automatic triggering condition, and determining a fourth configuration strategy; and completing performance optimization of the Vue framework based on the first configuration strategy, the second configuration strategy, the third configuration strategy and the fourth configuration strategy.

[Problem] To allow a user to easily understand information about an RPA scenario. [Solution] When a check / comment instruction (instruction for natural language output) for a scenario Sm (automation scenario) is received from a user (step S201), an improvement scenario Smr output from an LLM 12 according to the check / comment instruction is displayed on an improvement scenario display part 85, and a text (natural language output) indicating an improvement point of the improvement scenario Smr is displayed on an improvement point explanation display part 84. Therefore, the user can easily understand the information about the scenario Sm of the RPA by confirming the displayed text (natural language output).

This invention discloses a cross-platform model transfer method combining CATIA and MIDAS. The method generates a skeleton model containing node, element, cross-section, and material information based on an engineering design scheme in CATIA. It then uses an EKL script to automatically extract model data and store it in a standardized skeleton information table (node ​​information includes coordinates and spacing; element / cross-section / material information is converted to MIDAS-compatible MCT format strings). A Python script then reads the table data to generate an MCT file, which is finally imported into MIDAS to complete model construction and structural analysis. For scenarios involving multiple scheme comparisons, unique labels are added to the skeleton models of different design schemes. After unifying boundary conditions and load cases, the optimal scheme is quickly selected based on the calculation and analysis results.

This invention provides an LLM-driven natural language AI-powered automatic operation and maintenance (O&M) execution method and apparatus. The method includes acquiring fuzzy instructions, preprocessing the fuzzy instructions, inputting the preprocessed instructions into an LLM model to generate an O&M script, and automatically validating the O&M script to determine its execution risk level. If the execution risk level is low, an API protocol is selected based on the target O&M architecture type. The O&M script is converted into O&M instructions according to the API protocol type, and the O&M instructions are sent to the target O&M architecture, receiving the execution result returned by the target O&M architecture. The automatically generated O&M script incorporates a validation mechanism, performing multiple checks on the script's syntax, logic, permissions, and high-risk commands, thereby reducing O&M failure rates and fault response delays. This method, while improving O&M security and reducing O&M complexity, supports O&M operations across various architectures and achieves cross-scenario adaptation.

The invention relates to the technical field of artificial intelligence, and can be applied to software code reconstruction scenes in financial and medical scenes. The invention provides a software reconstruction method, system and device and a storage medium, and the method comprises the steps: carrying out the context analysis of a target code entity through a planning agent, and generating a structured reconstruction plan based on an analysis result; generating a reconstructed code by the generation agent according to the reconstruction plan; the compilation agent performs compilation verification on the reconstructed code, and when compilation fails, compilation error information is fed back to the generation agent for iterative correction; and the test agent performs function test on the reconstructed code after successful compiling, and feeds back test failure information to the generation agent for iterative correction when the test fails. The method can be applied to financial / medical software code reconstruction scenes, and the success rate of software reconstruction is improved through multi-agent cooperation and double feedback closed loops of compiling and testing.