2809results about How to "Improve development efficiency" patented technology

The invention provides a large language model-driven code review and optimization method, which belongs to the field of computer science, and comprises the following steps of: firstly, performing intensive training on a model through rich code samples and accurate manual annotation to ensure that the model has accurate code understanding and analysis capability; and then, performing deep analysis on an input source code by utilizing the trained large language model, and constructing an abstract syntax tree (AST) to capture deep semantic information of the code. And finally, the model automatically analyzes the codes, identifies potential defects, non-standard coding practices and optimization possibilities, and generates specific optimization suggestions, including code repair schemes and guidance following optimal practices, according to identification results, so that efficient support is provided for developers, and the quality of software products is ensured.

The invention relates to the technical field of data processing, and discloses an intelligent product page automatic generation method and system for the massive health industry. The method comprises the following steps: performing multi-modal analysis and augmented reality processing on a large health industry prototype graph and multi-source medical data to obtain augmented design information; performing dynamic knowledge graph mapping and causal reasoning on the enhanced design information to obtain semantic structure and knowledge associated data; performing adaptive micro-service deployment analysis on the semantic structure and knowledge associated data to obtain a containerized deployment strategy, and performing intention-driven API design and homomorphic encryption enhancement processing to obtain API interface specification data; performing component design and code generation processing on the API interface specification data to obtain a multi-modal interaction page code; and performing intelligent rendering and dynamic content filling on the multi-modal interaction page code to obtain a target product page. According to the method and the device, the efficiency and the accuracy of automatic generation of intelligent product pages in the large health industry are improved.

The invention belongs to the technical field of Linux kernel schedulers, and particularly relates to a Linux kernel scheduler parameter optimization system and method.The Linux kernel scheduler parameter optimization system comprises a data collection module, a large model training and optimization module, a kernel scheduler module, a code generation and verification module, a small model training module and a small model reasoning module; the large model is responsible for periodically providing a visual angle of global optimization, generating an initial weight and a scheduler prototype of the small model, extracting a rule from long-term accumulated data, and ensuring that an optimization strategy has a global visual field. Meanwhile, the small model serves as a local adapter to process the dynamic scheduling requirement of a kernel mode in real time. The layered optimization mechanism can balance short-term adaptability and long-term performance improvement.

The invention provides an intelligent dynamic prompting method and system for online code writing, and relates to the technical field of codes, and the method comprises the steps: inputting structured data into a pre-trained large language model; analyzing code semantics, business logic and data flow in the structured data through the large language model; identifying potential business fields and data structures based on the analysis result; generating a business field candidate list conforming to the context in combination with specific domain knowledge and coding specifications of the project; performing correlation sorting and screening on the service field candidate list; generating a detailed description of each business field; displaying the generated business field prompt in real time in an integrated development environment of the user; dynamically adjusting the display sequence and content of the business field based on the user interaction behavior; and regularly analyzing the change of the project code library, and automatically updating the knowledge base prompted by the business field.

The invention provides a business process construction method combining a workflow engine and a dynamic form, which relates to the technical field of low-code platforms, and comprises the following steps of: establishing a data table according to a business, selecting and importing the data table in a code generation module, generating a basic code package, re-operating a main program compiling code package and loading the code package to a JVM (Java Virtual Machine) operating environment; creating a dynamic form on the basis of the entity class information of the code package through a visual form designer of the dynamic form module, and outputting dynamic form configuration in a JSON (JavaScript Object Notation) format; according to the method, the dynamic form and the process engine are combined, highly flexible business process design can be realized, a user can dynamically design the form and the process model as required to meet different business requirements, and the user-defined component can be designed according to a business data structure and common functions, so that the form can better adapt to a specific business scene, and the user experience is improved. And the user experience and the working efficiency are improved.

The invention discloses a warehouse level code problem solving system based on a large language model, and relates to the technical field of software engineering, a source code file is extracted from a code warehouse, a static analysis tool is utilized to analyze codes, a warehouse level code graph is constructed, and then code entities and dependency relationships thereof are analyzed; based on the warehouse-level code graph, combining historical problem solving data, and constructing a dynamic evolution knowledge graph through continuous learning; through a context retrieval module, according to the context information of the current problem, dynamically retrieving related solution strategies and generating corresponding code patches, complementing or reviewing suggestions; the validity of the generated patch is verified through static analysis, unit testing and integration testing, and a problem solving strategy is optimized according to feedback of a developer. The problem solving efficiency and accuracy can be improved, the development cost is reduced, the solving process is gradually optimized through an intelligent feedback mechanism, a closed-loop feedback mechanism is formed, and therefore the increasingly complex software development requirements are met.

The invention discloses an Internet of Things equipment access protocol component development method, which is used for quickly developing an Internet of Things equipment access protocol analysis and processing component at an Internet of Things platform side, and comprises the following steps: S1, constructing a protocol analysis and processing general framework according to the protocol analysis and processing component of an Internet of Things platform; s2, abstracting a specific logic processing part of a protocol in the general framework into a method / function interface; s3, constructing a protocol expert AI knowledge base for data learning; s4, constructing an AI large model and a multi-agent processing flow, selecting a specified large model, configuring related parameters, extracting required parameter extraction / coding logic, and generating an interface implementation code; s5, integrating each generated interface implementation code with the universal framework; and S6, testing, adjusting and optimizing the integrated access protocol analysis and processing component. According to the method, the unified development template can be provided, so that the development technical threshold is reduced, and the development efficiency is greatly improved.

The invention provides a cross-platform low-code application development system based on a Flutter framework. Comprising a login registration module, a project management module, an interface design module, a state management module, a route management module, a team management module, a help document module, an AI page design module, a development document generation module, a hardware integration module, a code generation module, a multi-user collaborative development module, a communication module, an online simulator module, an AI generation application module and an interface management module. An asset management module, a developer forum module, an application market module and an application packaging module. The communication module supports various communication protocols and secure transmission modes, and ensures that data exchange applied to cross-platform and cross-system environments is secure and reliable. Through component dragging and graphical configuration, the low-code platform automatically analyzes configuration data to generate an App, a development document and a source code. And meanwhile, multi-person collaborative development is supported, so that the development threshold is reduced and the development speed is increased.

The invention discloses a teaching video reconstruction method and system based on an intelligent agent. The method comprises the following steps: extracting a knowledge content text and time information from a teaching video; constructing a semantic vector library and a graph database; constructing a cue word template according to a mode layer of the knowledge graph; defining a core function module of the intelligent agent system; the core scheduler receives a user question and calls the knowledge base retriever to generate a related knowledge content text; the knowledge base retriever queries the graph database to obtain the corresponding time of the video frame required for answering the question; and the video reconstructor reconstructs and generates a teaching video required by the user by using the video frame time and the original video. Precise semantic understanding and matching of teaching video content and user questions are achieved, the teaching video is reconstructed according to the multi-dimensional requirements of the user for knowledge points, learning targets and learning ability, specific field fine adjustment does not need to be conducted on a large model, the method can adapt to teaching video reconstruction of different subjects and difficulty levels, and the user experience is improved. Wide application and popularization values are realized.

The invention provides a code analysis and generation method and system based on a large model. The method comprises the steps of obtaining a generation demand input by a user; based on the generation demand, determining a to-be-called target function module from a code function module set, and determining an execution sequence of the target function module, the code function module set comprising a code analysis module and a large model agent module with various code generation functions. And calling the target function modules in sequence based on the execution sequence to obtain a code corresponding to the generation demand. According to the method, the code snippets conforming to the specifications are automatically generated, so that the coding burden of developers is relieved, the development cost is reduced, and the development efficiency is improved. Meanwhile, a large model agent technology is efficiently utilized, and the analysis accuracy is improved through automatic code analysis. In addition, the system can adapt to different programming languages and development frameworks, and diversified development requirements are met.

The invention belongs to but is not limited to the technical field of software development, and particularly relates to a multi-round reasoning and feedback optimization method and system for industrial software codes, and the method comprises the steps: S1, vector code library establishment: the establishment of a vector code library is composed of three parts of feedback establishment, vector database establishment and format summarization; s2, code reasoning optimization: the code reasoning optimization mainly comprises four aspects: control flow graph analysis, multi-query generation and reciprocal ranking fusion retrieval, reasoning generation subtask and code chain submodule generation, and code combination completion; and S3, feedback optimization: the feedback optimization is composed of score feedback optimization and log feedback optimization. According to the method, an automatic verification mechanism is introduced, logic consistency check and performance evaluation are carried out on the generated and optimized codes, and the correctness and execution efficiency of the codes are ensured. The verification mechanism can find and correct errors in real time in each stage of generation, so that the cost of manual verification is reduced, and the development efficiency is improved.

According to the battery pack provided by the invention, the battery pack has good insulating strength, so that the safety performance of the battery pack is improved. The battery pack comprises a box body, a battery array and a structural adhesive; the battery array is accommodated in the box body, the battery array comprises a plurality of battery units which are arranged in parallel, each battery unit comprises a plurality of batteries, the plurality of batteries comprise first batteries and second batteries, the first batteries and the second batteries are arranged alternately, and the first batteries and the second batteries are arranged alternately. The adjacent first battery and second battery are connected through a first buffer pad; the first battery and the second battery respectively comprise a shell and a first insulating film covering the outer surface of the shell; the structural adhesive is used for fixing the first battery and the second battery on the box body; moreover, among the respective second batteries of the battery array, the second battery having the largest number m of adjacent second batteries satisfies the following relational expression (1): # imgabs0 #

The invention relates to the technical field of computers, and discloses a method for converting a C + + code into a CUDA-C code, and the method comprises the steps: receiving a C + + source code, carrying out lexical analysis and grammatical analysis, generating an abstract syntax tree, and carrying out semantic analysis to ensure that the source code is correct semantically; analyzing the abstract syntax tree, identifying a data dependency relationship among the calculation tasks, and determining loop statements and conditional statements in the source code; and converting a loop statement and a conditional statement in the source code into a kernel function, a thread block and a thread management code corresponding to the CUDA, and further generating a corresponding compilable source file. According to the method, the abstract syntax tree of the C + + code is analyzed, the parallelism in the abstract syntax tree is analyzed, the code is optimized, the CUDA-C efficient code is generated, then efficient automatic conversion of the code is achieved, and the method has great significance in accelerating program performance and shortening the development period.

The invention discloses a vehicle-mounted message middleware processing method and system and an intelligent cabin thereof. The method comprises the steps that an abstract interface layer used for achieving data type abstraction and decoupling is defined, a communication interface is created based on a hardware abstract layer, and cross-device communication and cross-process communication are conducted through the abstract interface layer; based on the communication interface, a Fast DDS is adopted in a communication protocol transmission layer to serve as message middleware, an abstract interface layer is packaged in an application layer, communication nodes are created in a communication interface layer according to a communication protocol and a QoS strategy, and the communication nodes are used for managing objects of a communication mode in a cross-process and cross-device mode and in-process communication. According to the vehicle-mounted message middleware provided by the invention, a user interface is simplified, and two main communication modes are supported, so that a system can flexibly select a communication mode according to an application scene.

The invention discloses an intelligent glasses audio processing method and system. The method comprises the following steps: data preparation: collecting source domain data and target domain data; pre-training the model; converting the audio signal into sequence data; an RNN model is constructed and trained; model migration: migrating the pre-trained RNN model to target domain data, and processing noise in the target domain data by using parameters and features of the pre-trained model; intelligent analysis and processing, wherein noise in target domain data is analyzed and processed by using the migrated RNN model; real-time processing and feedback are carried out, audio signals captured by a microphone of the intelligent glasses are analyzed in real time, and a noise reduction strategy is dynamically adjusted to eliminate background noise; and optimizing noise reduction parameters and strategies according to the feedback. By collecting the source domain data and performing model pre-training, the RNN model can identify and process various known noise types and features and quickly adapt to different noise environments, so that the noise reduction effect is improved, and a user can obtain the optimal hearing experience in different noise environments.

The invention relates to the technical field of computers, and provides a back pressure verification method for chip design, computer equipment and a medium, which are used for solving the problem of high development difficulty of back pressure verification. The back pressure verification method comprises the following steps: carrying out initialization operation on a chip simulation verification platform, and then instantiating a top layer, a to-be-tested design and an interface module; a corresponding back pressure signal is determined based on at least one back pressure type associated with a to-be-tested design through a back pressure test module, and then back pressure overshoot check and continuity check after back pressure release are executed by monitoring the back pressure signal according to a pre-configured response mode. Therefore, various conditions which may cause back pressure can be efficiently simulated, the reusability of the back pressure test is good, the system can be conveniently transplanted to various verification environments, the chip verification period can be shortened, and the chip development efficiency can be improved.

The invention discloses an intelligent self-adaptive real-time task scheduling method and system based on multi-dimensional optimization. The method comprises the following steps: S1, inputting a task; s2, a DAG task is decomposed into independent sequential sub-tasks; s3, dynamically calculating the priorities of the tasks by adopting a multi-factor dynamic priority scheduling module, and updating the priorities of the tasks; s4, dynamically adjusting an acceleration factor by adopting a self-adaptive acceleration factor management module; s5, vertex correlation analysis is carried out, and a variance of processor load imbalance is calculated by adopting a load balanced distribution algorithm and is minimized; s6, in combination with static analysis and dynamic inspection, a hybrid schedulability judgment module is adopted to judge the tasks, and judgment results are fused; and S7, fusing decisions by adopting a decision fusion algorithm, obtaining a scheduling strategy through a scheduling strategy coordinator, executing the task, and monitoring the task in real time. Real-time monitoring and real-time optimization scheduling are realized, and the utilization rate of resources is improved.

The invention discloses a game generation method and device, a storage medium and computer equipment. The game generation method comprises the steps of obtaining a game development demand based on natural language interaction; generating game content data based on the game development demand; and driving a game engine based on the game content data to obtain a target game. By means of the method, the game content data can be automatically generated according to the game development requirements, the target game capable of driving the game engine to run is finally generated, efficient and high-quality game generation is achieved, the game development efficiency is improved, the game development threshold is lowered, the game development requirements of more developers are met, and the game development efficiency is improved. The illusion problem occurring in the game code generation task is relieved, the game code capable of well running is generated, and the adverse effect of redundant codes existing in the generated game on the game performance is avoided.

The invention provides a graphical construction and edge deployment method for configuration software development for a micro-service architecture, which comprises the following steps of: constructing an interface and logic of configuration software by adopting a graphical interface through operations such as drag-drop, connection and the like; establishing a graphical component library comprising a plurality of predefined micro-service components, wherein the predefined micro-service components comprise data acquisition, processing, storage, display and the like; the predefined micro-service component supports conversion of the graphical component into an executable micro-service code, and configuration software is constructed; deploying the micro-service of the configuration software at a position close to a data source in combination with an edge computing node deployment strategy; the edge deployment framework automatically completes deployment and starting of the micro-service according to the configuration file and supports automatic deployment, monitoring and upgrading of the micro-service; the states of the edge computing nodes are monitored through a graphical interface, and remote configuration and management are carried out; and performing real-time viewing, log analysis, troubleshooting and the like on the node state. The development efficiency is improved.

The invention relates to the technical field of servers, and discloses a workflow instance starting method, device and equipment and a service system. The method comprises the following steps: starting and sending an approval service request to a message queue, wherein the approval process is at least the same as the approval process of a second service; monitoring a response message fed back by the workflow service in real time in the message queue according to a preset association relationship, the preset association relationship including a corresponding relationship between each type of service and a theme; and when a target response message corresponding to the approval service request is monitored, analyzing the target response message, determining that the workflow instance corresponding to the approval service request is successfully started according to the content in the target response message, and executing the approval operation of each node in the workflow instance according to the workflow instance. According to the method, the starting of the approval process is more accurate and efficient. Moreover, the code change of one party does not affect the code of the other party, so that the code processing time is shortened, and the workflow instance starting and approval efficiency is improved.

The invention discloses a novel script development method based on a JVM (Java Virtual Machine), which comprises the following steps of: S1, setting a script permission list and a script forbidding list in a system configuration file, setting an initial variable and configuration information of a script, and monitoring the change of the configuration file by using an observer mode; s2, collecting external input data by utilizing a response type programming library, performing conversion processing by taking the external input data as an event, and adding the external input data into a script running context; s3, analyzing script contents into marks and nodes, and constructing an abstract syntax tree; s4, checking whether the variables of the abstract syntax tree accord with the permission and prohibition lists in the configuration file or not; s5, traversing the abstract syntax tree, and executing node logic of the abstract syntax tree; and S6, collecting execution results of all nodes, and returning the results to a caller. According to the method, configuration changes are monitored through an observer mode, syntax analysis and security check are carried out in combination with an abstract syntax tree, and the functions of script online development and real-time adjustment are achieved.

The invention discloses a low-code management system and method based on the AIot Internet of Things, and relates to the technical field of code management, the system comprises a template learning optimization module, a component dynamic adaptation module, a demand conversion module, a code annotation generation module and a code compatibility conversion module; the template learning optimization module is used for automatically extracting optimization points and updating template settings by analyzing historical cases and user data so as to improve the applicability of the template in practical application; according to the invention, through the template learning optimization module, deep analysis of historical cases and user data is realized, optimization points are automatically extracted, template setting is updated, the applicability and development efficiency of the template in practical application are remarkably improved, and through the automatic template updating process, manual intervention is reduced, the development cost is reduced, and the development efficiency is improved. And meanwhile, the stability and compatibility of the system are kept.

The invention discloses an intelligent assistance method and system for software development, particularly relates to the field of software development assistance, is used for solving the problem of code snippet screening and recommendation, and aims to analyze an abstract syntax tree of code snippets through a systematic method, construct a dependency graph and a time sequence dependency graph, and calculate early warning isolation and a functional functional rate. Screening high-value code snippets by combining the indexes; converting the code snippets into high-dimensional vectors by using a deep learning model, capturing grammar and semantic features, understanding the intention of a developer in real time through a situation analysis model, and adjusting a code recommendation strategy; clustering and classifying the code snippets by using an unsupervised learning algorithm to form a code snippet library with similar semantics and related functions; the accuracy of classification, clustering and similarity calculation of the code snippets is improved, code search and recommendation are effectively supported, the development process is optimized, the reuse rate and the system stability are improved, and the maintenance cost is reduced.

The invention discloses an AADL model automatic generation method based on a large language model. The method comprises the steps that a safety key field AADL knowledge base is constructed; injecting the constructed safety key field AADL knowledge base into a local large language model through a fine tuning technology to obtain a fine-tuned large language model; plug-in the safety-critical field AADL knowledge base to the fine-tuned large language model to obtain a special large language model for the safety-critical software; inputting cue words into the special large language model of the safety-critical software to obtain an AADL model generation result; meanwhile, the invention provides a prompt framework based on a natural language demand limiting template, and the performance of a large language model in an AADL model automatic generation task is remarkably improved. The measures not only optimize the understanding of the model on AADL specifications and safety requirements, but also enhance the automatic generation capability of the model in complex system architecture description, thereby improving the generation accuracy and practicability of the model while ensuring the system safety and reliability.

The invention provides a test program generation method and device, computer equipment and a readable storage medium, and belongs to the technical field of software development. The test program generation method comprises the steps of obtaining a test requirement document of a target chip; analyzing the test demand document to obtain keyword information corresponding to the test demand document; based on a preset test development model and the keyword information, obtaining test demand development model information; according to the test requirement, developing model information, calling at least one artificial intelligence interface in a preset large language model, and generating a plurality of test codes; and according to the plurality of test codes, generating a target test program corresponding to the target chip. According to the method, the effects of shortening the development period of the test program and improving the development efficiency of the test program can be achieved.

The invention discloses a deep heat storage large-scale fracturing construction scheme design method based on a weak structure, and relates to the technical field of high-temperature geothermal resource exploration and development, and the method comprises the following steps: depicting and characterizing the weak structure of a deep heat storage large-scale fracturing stratum to obtain a comprehensive characterization large model; based on the comprehensive characterization large model, delineation and fracturing performance evaluation are conducted on a weak structural zone of the deep heat storage scale fractured stratum, and a delineated area is obtained; on the basis of the delineated area, the farthest disturbance range and distance of fracturing transformation of the weak structure of the deep heat storage scale fractured stratum are predicted; and determining a well spacing, designing a well location, deploying a well pattern and optimizing a fracturing layer section based on the fracturing property and the predicted farthest disturbance range and distance of thermal storage fracturing transformation, and completing the design of a deep thermal storage large-scale fracturing construction scheme. According to the method, through construction and analysis of the comprehensive characterization large model, the stratum weak structural zone suitable for fracturing can be accurately delineated, the farthest disturbance range and distance of fracturing transformation are predicted, and efficient mining is achieved.

The invention relates to a performance calibration method for a pure electric vehicle, which comprises the following steps of: calibrating a driving coefficient corresponding to the opening degree of an accelerator pedal on the premise of smooth driving according to a driving torque under the opening degree of the specific accelerator pedal in the normal driving process of the vehicle; electric braking torque is calibrated according to the current running speed of the vehicle and the opening degree of a brake pedal; in the running process of the vehicle, according to the size relation of different gears, target torque and actual torque, a torque change value # imgabs0 # is obtained through table look-up, and then a torque request is subjected to filtering processing; aiming at different subdivided market requirements of the driving condition, the altitude, the environment temperature and the like of the pure electric vehicle, the vehicle driving force, the energy recovery capability and the torque filtering calibration can be quickly completed, and the software development efficiency of the vehicle control unit is improved. And effective balance among driving safety, comfort and economical efficiency of the pure electric vehicle is realized.

The invention provides an automatic interface signal verification management and control method, device and equipment and a medium, and belongs to the technical field of chip verification. Configuring a template file and a configuration file, and creating a to-be-tested design interface and a verification environment interface which interact with each other; creating a verification environment module; the to-be-tested design interface and the verification environment interface are bound to a verification platform, a verification environment module is called, and an interface handle is transmitted to the verification environment module through an inter-module parameter information transmission mechanism; based on the verification platform, tasks of sending an interface signal to the DUT interface, receiving the interface signal from the DUT interface, generating a verification test sequence and the like are realized, and the interface signal of the DUT interface is verified. The verification mode can greatly shorten the test period and reduce manual intervention and errors. And various test scenes and boundary conditions are simulated to ensure that the DUT interface signal can work normally under different conditions, so that the test requirements are met.

The invention discloses a code version management method based on multi-person collaboration, belongs to the technical field of software development, and in the code version management method based on the GIT distributed version control system, efficient work is guaranteed through modes of code submission, combined submission, code combination and the like. According to an existing cooperation mode, in the development process of one iteration cycle, developers can submit codes for multiple times, and after iteration development is completed through cooperation of multiple persons, many submission records appear, and therefore the code submission records are disordered. Through the technology, after each developer completes the respective task, the submission records are combined into one, so that the readability of submitted information is greatly improved. By means of code submission, merging submission, code merging and the like, high efficiency of work is guaranteed, the code submission management process is standardized, many benefits are brought to software development teams, and the method is an important means for improving software development efficiency and quality.

The invention relates to the field of automation, the field of artificial intelligence and the technical field of code quality management, and provides an automatic online code review method and system. The method comprises the following steps: compiling a self-defined rule description document, and compiling or updating a formulated coding specification document; a webhook request is set in a code warehouse in advance and used for automatically triggering an external service or process when a specific event occurs in the code warehouse; compiling or modifying codes, and manually / automatically submitting the codes to a code warehouse; the code warehouse automatically triggers a pre-configured webhook request, and then an interface of an AI code review system is called for code review; the AI review system pulls the to-be-reviewed code, performs rule matching on the to-be-reviewed code according to preset rule template configuration, detects whether a code violating a rule exists or not, and generates a review report after review is completed; wherein the rule template configuration comprises a rule description document and a coding specification document.