180 results about "System development" patented technology

The invention discloses a dynamic data docking method based on a rule engine, which comprises the following steps: S1, data source registration and automatic detection: a user inputs various heterogeneous data source information through a system console, and a system automatically detects the data source type, the data structure and the connection availability and generates an adaptive connection configuration file; according to the method, a dynamic data docking method with the rule engine supporting hot updating as the core is introduced, seamless integration and flexible conversion of multi-source heterogeneous data are achieved, and the problem of business interruption caused by code modification and service restarting due to rule change in a traditional scheme is thoroughly solved; through visual rule management, a unified data model and a closed-loop verification feedback mechanism, the development and maintenance cost of the system is remarkably reduced, and meanwhile, the flexibility, reliability and traceability of data processing and the continuous self-adaptive optimization capability of the system are greatly improved.

The invention relates to the technical field of informatization system development, in particular to a natural language-based complex data model generation method, which comprises the following steps of receiving business requirement input in a natural language form, preprocessing and normalizing input contents, processing ambiguity and incompleteness of requirements through a multi-round dialogue complementation mechanism, and generating a complex data model. Obtaining a complete and clear business demand description; and carrying out deep semantic analysis on the normalized business requirements by adopting a large language model. Aiming at the pain points that an existing data modeling technology is high in threshold, low in efficiency, difficult in quality guarantee, weak in integration adaptation and the like, the method has the remarkable advantage of multiple dimensions, non-technical background personnel can directly input service requirements through natural language interaction and deep semantic analysis on the premise of reducing the technical threshold, database knowledge and SQL specifications do not need to be elaborated, and the method is suitable for large-scale popularization and application. The cognitive gap of business and technology is spanned, the dependence on professional design talents is reduced, and the learning cycle of green hands is shortened.

The invention discloses a health analysis report generation method based on a large model. The report generation method comprises the following steps: inputting a physical examination report; preprocessing the physical examination report to obtain a preprocessing result; performing visual language model analysis according to the preprocessing result; carrying out structured processing; compressing the cue word; generating an HTML (Hypertext Markup Language): generating webpage contents by utilizing And rendering and exporting. By introducing a large model with natural language understanding, data reasoning and code generation capabilities, an intelligent report generation mechanism is constructed, while the system development workload is reduced and the development period is shortened, specialized, precise and personalized output of health reports is realized, and the scientificity, readability and practical value of report contents are improved.

The invention discloses a weather modification operation information display method and system based on multi-source information fusion, and relates to the technical field of meteorological information intelligent decision making, and the method comprises the steps: carrying out the reasoning analysis of a time sequence knowledge graph through a graph neural network, recognizing the cloud system development change, reasoning the evolution of cloud physical characteristics, and predicting the space-time range of an operation potential region, generating an accurate forecast conclusion and a figure operation suggestion; and converting the accurate forecast conclusion and the weather modification operation suggestion into a visual instruction set, and generating a visual comprehensive situation map through highlighting core weather indexes, displaying evolution paths by dynamic arrows and marking operation potential areas and operation corridors by color coverage. According to the method, reasoning analysis is carried out on the time sequence knowledge graph by using the graph neural network, the operation potential area is automatically identified from a historical mode, the dynamic evolution of the operation potential area is predicted, and the perspectiveness and the accuracy of figure operation decision making are improved.

The invention relates to the technical field of embedded system development and verification, and discloses an embedded software full-digital excitation deployment method, system, device and medium, and the method comprises the steps: based on a virtualization modeling technology of a multi-core heterogeneous system, simulating a CPU architecture, an operating system, board card peripherals and peripheral interfaces of a target processor, constructing a general digital target machine; a cross-platform communication framework is established based on a real-time communication transmission technology of direct digital frequency synthesis, and real-time synchronization of data of a virtual environment and an interaction object is completed; and through cooperation of the general digital target machine and the cross-platform communication framework, full-digital deployment and verification of the embedded software are completed. According to the method, full-digital development and verification of the embedded software can be realized, a research and development mode of parallel hardware development, software development and system function verification is met, and the research and development efficiency of the embedded software is improved.

This invention discloses a dual-variable symmetrical injection modulation method for a two-phase permanent magnet synchronous motor, belonging to the field of motor drive and control technology. The method includes the following steps: S1, setting motor start-up logic and soft-start parameters; S2, generating two-phase orthogonal line voltage commands; S3, dual-variable symmetrical injection; S4, PWM comparator register mapping and output; S5, periodic execution. This method requires no modification to the hardware topology of a standard three-phase voltage source inverter or the addition of additional circuit components, and can be directly deployed on existing mature hardware platforms. This allows the same three-phase inverter to be used to drive both three-phase and two-phase motors, achieving hardware platform reuse and standardization, significantly reducing system development and bill of materials costs, resulting in low hardware cost and strong versatility.

The application provides an open source compliance efficient scanning method and system for an operating system, belongs to the field of information technology, splits open source compliance scanning into a plurality of scanning items, realizes configurable differentiated scanning, judges a main task type after triggering a scanning task, obtains a scanning object according to the main task type, and reads a scanning template corresponding to the main task type, extracts metadata information of the scanning object, generates a uniform resource locator PURL, creates a subtask for the scanning item by using a distributed task scheduling framework, performs distributed subtask distribution based on execution cost calculation, and manages the scheduling and execution of the subtask. The application meets strict requirements for open source compliance in the operating system development, maintenance and supply chain management processes.

The invention relates to a message verification method and device and a vehicle, relates to the technical field of hardware-in-the-loop testing, and aims to solve the problem of difference between original data of a bottom layer of a controller and data processed by an application layer. The method comprises the following steps: acquiring message description information corresponding to a target message sent by a controller in a hardware-in-the-loop test process of the controller; determining whether the message description information comprises target information or not; wherein the target information is used for indicating the data bit without the signal value in the target message. And under the condition that the message description information does not comprise the target information, generating the target information. And updating the target information to the message description information. And the updated message description information is utilized to perform message verification on the target message, so that the problem of data difference between a bottom layer and an application layer can be solved, and the efficiency and reliability of system development are improved.

The invention relates to the technical field of embedded system development and verification, and discloses an embedded software full-digital deployment verification platform, which comprises a basic environment support layer, a platform business layer, a man-machine interaction layer and a core service layer, the man-machine interaction layer provides an external operation inlet, and the core service layer provides core service support for each layer; the core service layer comprises a dynamic modeling engine, a task scheduling engine, a data service engine and a process management engine, the dynamic modeling engine executes processing board card modeling and functional module modeling, the task scheduling engine executes excitation deployment, and the data service engine and the process management engine cooperatively execute excitation evaluation. According to the method, the research and development efficiency of the embedded software can be effectively improved in a research and development mode of parallel hardware development, software development and system function verification.

The invention provides an agent model construction method, an automobile thermal management method and a related device, and the agent model construction method constructs a digital model of a to-be-simulated device, and carries out the calibration of the digital model through the pre-collected experimental data, and obtains a target digital model of the to-be-simulated device; acquiring simulation operation data of the to-be-simulated device by using the target digital model of the to-be-simulated device, and gathering the simulation operation data into a training data set; and training a pre-constructed neural network model by using the training data set to obtain a proxy model corresponding to the to-be-simulated device. By adopting the technical scheme of the invention, the neural network agent model of parts or systems related to automobile thermal management can be constructed, the simulation calculation load is reduced, and quick response is realized, so that the simulation efficiency of thermal management is improved, the development efficiency of a thermal management system is improved, and the efficiency of automobile thermal management is further improved.

The invention provides a unified packaging method for a communication protocol of a virtual board card, and relates to the technical field of computers, and the method comprises the steps: firstly, constructing a universal virtual board card model according to the interface functions of various communication board cards; then, constructing a standard virtual bus data encapsulation protocol; and finally, calling a standard virtual bus data encapsulation protocol through the universal virtual board card model to process the data so as to realize the transceiving process of the data on the virtual bus. By constructing the universal virtual board card model and the standard virtual bus data encapsulation protocol, software function verification can get rid of limitation of physical equipment, the development and iteration period of an embedded system is shortened, the development efficiency is improved, the cost is reduced, the debugging process is simplified, meanwhile, the code reuse rate is increased, and the development cost is reduced. The difficulty of learning and cross-device maintenance of a developer on a privatized driving interface is reduced, and the compatibility and expansibility requirements of an embedded system are met.

The invention relates to a system development method and device, computer equipment, a computer readable storage medium and a computer program product. Obtaining a system model constructed based on a first language; the first language is a semi-formalized modeling language; analyzing the system model to obtain an abstract instantiated syntax tree corresponding to the system model, and performing system analysis at least including system resource budget analysis based on the abstract instantiated syntax tree to obtain an analysis result; under the condition that the analysis result meets a preset condition, generating a target code of a second language matched with the system model based on the abstract instantiation syntax tree; the second language is a programming language. By adopting the method, the model development efficiency and quality can be improved.

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 provides a novel satellite-rocket electrical interface system, which comprises an interface assembly arranged on the outer surface of a satellite cabin plate, the interface assembly comprising X1F connectors, X2F connectors and X10B connectors arranged side by side; a ground test cable assembly, one end of which is provided with a first connector for connecting a satellite ground test device, and the other end of which is provided with a second connector for being connected with the X1F connectors and the X2F connectors; wherein a working port is arranged on the rocket fairing at a position corresponding to the interface assembly, and the working port is configured to allow the ground test cable assembly to be connected with the satellite connectors of the interface assembly before launch or to be manually disconnected and withdrawn. Thus, the application simplifies the satellite-rocket interface relationship, improves the reliability of satellite-rocket separation, improves the launch capacity, and reduces the system development cost.

The application discloses a WSDL-based service end API automatic construction method and device and medium, relates to the technical field of information system development, and comprises the following steps: determining a type mapping rule according to a JSON data structure; obtaining a Java data class file through automatic recursive processing of a Java naming rule based on the JSON data structure and the type mapping rule; performing abnormal state analysis on the Java data class file to determine a file exception solution method; obtaining a standard annotation through service class annotation marking according to the Java data class file; performing service skeleton construction conforming to a JAX-WS specification on the standard annotation to determine a directly identifiable service class; and performing dynamic compilation on the directly identifiable service class to obtain a dynamically deployed service. The application solves the technical problems that the prior art cannot automatically deduce a Java class from an arbitrary JSON example and cannot automatically construct and deploy a WebService service.

The invention provides a micro-service code automatic generation method, system and equipment based on a multi-level model and a medium, and relates to the technical field of software development, the method comprises the following steps: according to system development stage characteristics and information dimensions, the system is subdivided into a multi-level model description framework comprising a demand model, an architecture model, a design model and a deployment model; and based on a mapping rule between a predefined model and a code, converting the multi-level model into an executable template code based on a Spring micro-service framework through a hierarchical code generation mechanism, so as to realize an automatic multi-level code generation process from demand to a final system. According to the method, the problems that in existing model driving code generation, input is not standard, generated codes are not complete, a complete information system is difficult to generate during large language model code automatic generation, and the codes are possibly inconsistent are solved, and a more efficient, standard and complete code automatic generation scheme is provided.

The invention relates to the technical field of production management, in particular to a modular extensible storage control system and a background control method thereof, and the system comprises a communication configuration and visualization tool, an equipment control abstraction layer, a reflection dynamic generation module and a task processing module. The communication configuration and visualization tool receives equipment parameters and communication protocols input by a user, equipment configuration information is defined in a configuration mode, the equipment control abstraction layer packages bottom layer operation of different warehouse equipment into a standardized general API interface, the reflection dynamic generation module dynamically analyzes equipment metadata by using a reflection mechanism and instantiates an object, and the reflection dynamic generation module is used for dynamically generating the equipment metadata. And the task processing module adopts a multi-thread and asynchronous technology to allocate thread resources, and controls equipment to execute storage tasks through a task queue. The problems of long development period, poor flexibility, high upgrading and maintenance cost and the like of a traditional storage control system can be effectively solved, and diversified requirements of intelligent warehouse equipment are met.

The invention relates to the technical field of intelligent maintenance and artificial intelligence crossing of civil aviation, and provides a civil aircraft health management method and device based on a large model agent. According to the method, through combination of natural language interaction and an automatic algorithm, the workload of glue code writing and parameter debugging is reduced, the PHM system development threshold is lowered, and non-algorithm professional engineers can quickly construct an analysis process; task planning and algorithm calling are autonomously completed, the process execution efficiency is optimized, and the task processing period is shortened.

The invention provides a military plotting-based auxiliary tactical calculation and decision-making system, and belongs to the technical field of computers. Comprising a data processing and acquisition module, a plotting system development module, a tactical calculation model module, a decision support system module, a communication and network technology module, a man-machine interaction module, a security and encryption technology module and a continuous improvement and optimization module. The system provided by the invention improves the decision-making efficiency, greatly improves the decision-making efficiency of a commander through automatic and intelligent data processing, tactical analysis and decision-making suggestion, shortens the decision-making period, carries out data analysis and tactical prediction by using an advanced artificial intelligence technology, can provide a more accurate and reliable decision-making basis, and improves the decision-making efficiency of the commander. Dynamic analysis and adjustment can be carried out according to real-time battlefield data, it is ensured that a commander can make a decision according to the latest situation, and the real-time performance and accuracy of the decision are improved.

This invention relates to the field of insurance data processing and claims management technology, and discloses an insurance claims configuration system and method based on event perception and dual-track rule execution. This invention achieves unified access to multi-source data by pre-setting a standardized perception entry point covering all insurance claims scenarios, and constructs a configuration management layer that supports business entities in independently configuring perception scenarios, rule conditions, and dual-track execution methods. It combines a rule engine unit and a large model skill unit to execute structured and unstructured rule judgments respectively. When the judgment result meets the trigger conditions, customized data extraction and management actions are automatically executed. This solves the problems of traditional claims management systems, such as difficulty in meeting personalized needs, excessively long demand response cycles, wasted functional development resources, suppressed enthusiasm of management entities, and lagging functional iteration. It improves the flexibility and business response speed of claims management, reduces system development and maintenance costs, fully leverages the management initiative of business personnel, and maximizes the value of claims management.

This application discloses an automatic code generation method and system for SOME / IP data types, relating to the field of vehicle system development. The method includes: S1, data dictionary reading: obtaining the data dictionary for SOME / IP protocol communication; S2, data type classification, identification, and processing: opening the Excel file from step S1, classifying each row of data in the worksheet, and performing specific parsing processing for different types; S3, multi-round iterative dependency resolution: using a multi-round scanning strategy to resolve nested dependencies between various data types; S4, naming standardization processing: standardizing the names of each parsed data type according to preset naming rules; S5, standard code generation and output: converting all data types that have undergone naming standardization processing into type definition code conforming to C language specifications; simultaneously converting the value range, precision, unit, and Chinese description metadata in the data dictionary of the Excel file into code comments, generating a C language header file that can be included in the compilation project.

The invention relates to the technical field of embedded system development, and discloses an embedded system virtual simulation environment modular construction method and system, and the system comprises a processor minimum system virtual component which is configured to virtualize processors of different models and types so as to support the operation of an embedded system deployed on the processors; the operating system virtual component is configured to perform virtual adaptation on the embedded system so as to support deployment and operation of application software of the embedded system in a virtual environment; the bus interface virtual component is configured to virtualize various peripheral interfaces; the interaction object virtual component is configured to serve as an interaction object of the embedded system application software and simulate a hardware module function to support virtualization verification of the embedded system application software; and the virtual operation environment construction platform is configured to perform management, instantiation, integration and operation on each virtual component. According to the invention, the digital simulation operation of the embedded system application software can be realized.

The application provides a development demand modeling analysis method of a mechatronic hydraulic complex system, comprising the following steps: S1, performing stakeholder analysis to identify stakeholders and stakeholder demands, and generating a tracking matrix between the stakeholders and the stakeholder demands; S2, performing use case analysis to determine system function demands of a system to be developed based on the tracking matrix; S3, performing system environment analysis to determine system interface demands of the system to be developed; S4, performing index analysis to determine system performance demands of the system to be developed; and S5, determining system development demands according to the system function demands, the system external interface demands and the system performance demands. The technical scheme of the application can improve the system development demand obtaining speed and reduce the product research and development cycle.

The present invention relates to the technical field of computer interlocking systems, and in particular to a switching power supply device for a computer interlocking system. The device comprises a protection module, a first filter module, a PFC module, a second filter module, and a DC-DC module which are sequentially connected, and a control module and a detection module; an output state port of the PFC module and a start control port of the DC-DC module are separately connected to the control module; the detection module is separately connected to the DC-DC module and the control module; and the DC-DC module, the control module, and the detection module each comprise an external interface. Compared with the prior art, the present invention has advantages such as a compact structure, effective avoidance of a compatibility problem, improved system reliability, and reduced system development and maintenance costs.

This invention relates to the technical field of self-service payment, and in particular to an unmanned self-service payment system, comprising: a data acquisition module, a data analysis module, a storage module, an alarm module, a storage mechanism, and a central control module. The central control module receives data uploaded from each module, issues control commands, verification tasks, and deep learning model inference scheduling commands, coordinates the collaborative operation of each module, and executes the linkage control logic of the device door lock. Through a core control logic combining mobile phone locking with deep learning-based full-process verification and door lock linkage, it fundamentally eliminates the occurrence of multiple or incorrect items and malicious evasion of payment, achieving full-process control with zero loss and no loopholes, adapting to all product categories. The entire process utilizes a mature, standardized deep learning model, requiring no customized improvements, significantly reducing system development costs and edge deployment difficulty, and improving device operational stability and commercialization capabilities.

The application discloses an interactive method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: receiving question content of a user; receiving question content of a user; determining a target tool corresponding to the question content according to a question intention of the question content, and acquiring tool calling information of the target tool; wherein the tool calling information comprises a tool identifier, input definition information and output definition information; generating standard calling instructions corresponding to the target tool according to the tool calling information; wherein the standard calling instructions comprise a tool identifier, an input parameter set and output definition information; sending the standard calling instructions to a business system corresponding to the target tool, and receiving a processing result returned by the business system; and generating reply content corresponding to the question content according to the processing result. The embodiment can realize standardized connection between systems, does not need to develop independent interfaces for a question and answer system and a business system, and reduces the development and operation and maintenance difficulty of the question and answer system.

A digital system development lifecycle system processes approval requests for applications. The system generates a risk profile using a questionnaire and selects a set of deliverables based on the risk profile. The set of deliverables is tuned based on regulatory or enterprise policies. The system provides a user interface via which users can view progress towards the tuned set of deliverables.

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.

1. Name of this product design: Charging System Development and Testing Experimental Bench. 2. Purpose of this design: For the development and testing of charging systems for new energy vehicles. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The top surface of this design product is a part that is not easily seen or cannot be seen during use, so the top view is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application discloses a complex network theory and a part observable Markov decision process intelligent driving behavior decision method and equipment, by introducing a part observable Markov decision process (POMDP), an ideal decision model for multi-agent interaction in an uncertain environment is provided, with the increase of model dimension, the calculation complexity is also greatly increased, in order to solve the calculation complexity problem, the application introduces a complex network cognitive theory based on driving environment modeling, is used to evaluate important nodes and extract risk trees, to reduce the confidence space of the POMDP model, accelerate the model solution, so as to realize the real-time behavior decision in the highly interactive dynamic uncertain driving environment, compared with the behavior decision method using the finite state machine and RL, the application can be effectively operated in the highly interactive dynamic uncertain driving environment while ensuring the algorithm interpretability, and provides a new solution for the development of high-level intelligent driving system.