958 results about "Maintainability" patented technology

The invention relates to the technical field of computer processing, in particular to a software architecture code generation method and system based on a large language model, and provides the following scheme: obtaining demand information input by a user, analyzing demands by using a natural language processing technology, and extracting functional elements; performing classification processing on the functional elements through a clustering algorithm to generate a functional module group; mapping the function module group to a system architecture layer, and generating an architecture diagram represented by UML (Unified Modeling Language); and generating a corresponding source code according to the UML graph, and optimizing the source code. The optimization strategy comprises static analysis of format problems and potential vulnerabilities in identification codes and performance optimization of complex functions. Through combination of the large language model and the automatic code generation and optimization technology, the software development efficiency is improved, manual intervention is reduced, and the correctness and maintainability of the generated code are ensured.

The invention relates to the technical field of software development, and particularly provides a self-adaptive code annotation updating method and system, a terminal and a storage medium, and the method comprises the following steps: confirming that codes are updated, extracting an updated code set, and combining and constructing an abstract syntax tree for the codes; performing semantic analysis on the abstract syntax tree by using a deep learning model to generate a semantic vector, and constructing a program dependency graph based on the semantic vector; analyzing a dependency relationship among code elements in the program dependency graph by utilizing a graph neural network; and generating a code annotation based on the semantic vector and the dependency relationship between the code elements by using a natural language generation model. According to the method, the real-time performance and the accuracy of the code document are ensured, the readability and the maintainability of the code are greatly improved, and the maintenance cost is reduced.

The invention relates to the related field of artificial intelligence (AI) and edge computing, in particular to an AI algorithm process and service all-in-one machine based on edge computing, and efficient operation and dynamic adaptability of a system are achieved through cooperative work and intelligent resource management of edge equipment and a cloud end. By deploying the real-time resource monitoring module on the edge device, the computing resource use condition of the device can be monitored in real time, resource allocation is dynamically adjusted according to the current task requirement, and the working efficiency and the energy utilization rate of the device are improved. And the cloud end performs regular optimization and issues the updated model to the edge device, so that dynamic updating and optimization of the model are realized, and the system is ensured to maintain efficient and stable operation in a complex and changeable environment. Through preliminary reasoning of the edge device and auxiliary processing of the cloud end, the data transmission amount and the cloud computing burden are reduced, and meanwhile the robustness, maintainability and expandability of the system are enhanced.

The invention provides a task disassembly and multi-agent arrangement execution system and method based on a large language model, and belongs to the technical field of computers, and the system comprises an instruction analysis module, a DAG construction module, a scheduling execution module and a cache optimization module. Analysis is carried out according to the dependency relationship between the tasks, a task execution DAG is automatically constructed, and concurrent calling is carried out on the sub-modules without dependency; by caching an authentication result, a context reasoning result and the like, a universal module is executed in advance, the result is reused, and repeated calculation is reduced; the maintainability and the expandability of the system are improved through graph structure visualization and node element information injection; and performing context analysis and scheduling optimization in combination with the reasoning ability of the language model to realize an intelligent decision execution path.

The invention belongs to the technical field of equipment knowledge engineering and natural language processing, and discloses an LLM-based constraint and self-repairing uniformization equipment knowledge graph automatic construction method. The method comprises the following steps: firstly, acquiring equipment related document data through network collection, document arrangement and database query; then, utilizing an equipment domain ontology and constraints as preposed soft and hard constraints, driving LLM to generate semantic intermediate representation, and obtaining candidate triples through structured compiling; then, a self-repairing closed loop is formed through semantic unit testing, logic consistency detection and evidence binding verification, and triples which violate constraints and have conflicts or illusions are automatically recognized and repaired; and finally, entity standard identification, cross-document duplicate removal combination and conflict resolution are realized through cross-segment unification and incremental alignment. According to the method, the fragile path that the LLM directly generates the triple and blindly stores the triple is avoided, the illusion and inconsistency problems are effectively inhibited, and the correctness, interpretability and maintainability of the equipment knowledge graph are remarkably improved.

The invention discloses a real-time pressure compensation method for a multi-axis linkage precision press, which relates to the technical field of control of a press, and comprises the following steps of: when a coefficient is detected to exceed a warning threshold value, executing abnormal identification and generating abnormal axis information; a short-stroke reciprocating test is carried out on an abnormal shaft under a safe working condition, force-displacement and force-speed curve characteristics are recorded through high-frequency sampling, and friction model parameters are updated by utilizing a self-learning fitting algorithm. And calculating a life degradation index by comparing a historical parameter sequence with the updated friction model parameters, and formulating a pre-maintenance strategy including a replacement period, spare part requirements and priorities. If the pre-maintenance strategy is not executed in time and it is monitored that the friction increasing coefficient continues to rise or the compensation amount is close to the upper limit, real-time compensation is applied, and the speed-limiting and load-limiting or emergency shutdown process is triggered. Through a multi-level safety control strategy, sudden friction abnormity can be accurately captured, and reliability and maintainability are remarkably improved.

The invention provides a legacy system-oriented large-model-driven API document automatic generation system, belongs to the crossing field of artificial intelligence and software development, and provides a multi-modal data fusion and closed-loop verification mechanism aiming at the defects of a traditional API document generation method in the aspects of semantic comprehension, dynamic context capture and multi-technology stack adaptation. A code static feature and a dynamic track during operation are analyzed through a multi-source data acquisition module, and an interface semantic feature is extracted in combination with a field self-adaptive large model of a semantic enhancement analysis module; deducing an implicit service rule by fusing static / dynamic characteristics through a graph neural network, and generating a standardized document conforming to an OpenAPI specification through a parameterized template generative adversarial network (PT-GAN); and finally, performing three-level verification and closed-loop optimization through a sandbox environment. The method supports a heterogeneous system of 16 programming languages such as Java / C + + / Python, interface version changes can be automatically recognized, document patches are generated, the problems of missing and outdated system documents and low maintenance efficiency are solved, and maintainability and integration efficiency of enterprise-level systems are remarkably improved.

The invention discloses a self-adaptive NL2SQL method and system based on a large language model and retrieval enhancement. The method comprises four key steps of mode linking, example enhancement and SQL generation, multi-path thinking chain fusion reasoning and multi-round self-correction. The system comprises the following modules: a knowledge base management module, an input analysis and preprocessing module, a mode link module, an example enhancement module, an SQL (Structured Query Language) generation module, an SQL fusion and optimization module, an SQL execution and feedback module, a multi-round self-correction module, a Prompt construction and context management module, a system interface module and a content generation module. The method has the advantages that multiple large models are supported, a data source is quickly accessed, a user-defined prompt structure is configured, good engineering maintainability and scene adaptability are achieved, and SQL generation accuracy, performability and universality are improved.

The invention discloses a fault diagnosis method and system for a coil cutting all-in-one machine based on a large language model, and relates to the technical field of equipment fault diagnosis, and the system comprises a table data intelligent processing module, a knowledge base construction module, a diagnosis reasoning module and a user interaction module. The table data intelligent processing module is used for carrying out automatic fault mode labeling and description standardization on a cutting and rolling all-in-one machine fault diagnosis case library provided by a user; the domain knowledge graph construction module is used for integrating the standardized table database and automatically constructing a domain knowledge graph; the diagnosis reasoning module is used for performing fault diagnosis reasoning based on a large language model and a knowledge graph; and the user interaction module provides a multi-modal user interaction interface and supports visual display of fault diagnosis. Therefore, by adopting the fault diagnosis method and system for the cutting and winding all-in-one machine based on the large language model, the intelligent level of fault diagnosis can be improved, the knowledge base construction and expansion cost can be reduced, and the usability and maintainability of the system can be enhanced.

The invention provides a method and a device for generating a parameterized model, a medium and a program product. The method comprises the following steps: S1, receiving text data which is input by a user and is related to a design intention or a command; s2, preprocessing the text data through a predetermined natural language processing algorithm to obtain structured parameter information of the text data; and S3, constructing a parameterized model through predetermined modeling software according to the structured parameter information. By means of the technical scheme, the modeling efficiency can be improved, the quality and consistency of the model are guaranteed, and the maintainability of the model is further enhanced.

The invention relates to a peripheral adaptation system based on a dynamic plug-in loading mechanism, and belongs to the technical field of plug-in management. The system comprises a dynamic plug-in loading management unit, a peripheral adaptation management unit and a front-end management unit, the dynamic plug-in loading management unit is used for managing the loading and hot plug functions of the plug-in and realizing the loading, isolation and unloading of the plug-in when the system runs; the peripheral adaptation management unit is used for communicating with a peripheral, and analyzing and identifying a special protocol and an interface of the peripheral through the intelligent adapter; and the front-end management unit is used for designing an API (Application Program Interface) for a front-end application to call, and performing authority control on sensitive operation through the security access module. Dynamic loading and flexible support of various peripherals are realized, compatibility of the peripherals is optimized, and maintainability and expansibility of the system are improved.

The invention relates to the technical field of base frame operation and maintenance, can be applied to business scenes such as financial science and technology and medical health, and discloses a context object-driven patch processing method, device, equipment and medium, and the method comprises the steps: extracting an equipment attribute identifier, an operation state identifier and a routing path identifier from an operation environment of target equipment to generate a context object, creating a patch definition, verifying the patch definition in a security sandbox, submitting and approving the patch definition to form a patch version identifier, configuring an environment isolation condition in combination with an effective range, issuing a patch execution instruction carrying the patch version identifier, the environment isolation condition and a hook definition, triggering patch script application repair logic, and calling a cache cleaning tool to process a resource cache. And collecting logs and indexes to generate a monitoring record, and executing rollback or off-shelf operation based on the monitoring record to finish the patch task. Through combination of dynamic patch definition, instruction issuing and version management, safe distribution of front-end patches is realized, and the stability and maintainability of the system are improved.

The embodiment of the invention discloses an automatic code standardizing method and device, a storage medium and a program product. The method comprises the following steps: obtaining a to-be-standardized code; performing grammar analysis on the to-be-standardized code to generate an abstract syntax tree; traversing the abstract syntax tree to obtain the type of each node; collecting node data according to the type; a plurality of mapping tables are constructed, standard rules in a preset standard rule base and optimization rules in a preset optimization rule base are stored in the multiple mapping tables, and the mapping relation between the standard rules and the optimization rules is established; judging whether the node data is abnormal or not based on the type, a standard rule base and a plurality of mapping tables; if yes, optimizing the abstract syntax tree based on the multiple mapping tables and the abnormal node data; and generating a code meeting the specification based on the optimized abstract syntax tree. According to the method, the code quality, consistency and maintainability are improved by automatically standardizing the code, and meanwhile, the development and maintenance cost is reduced.

The invention discloses a gallery integrated internal production software system based on a modular low-coupling architecture, which is characterized in that a system function is divided into a plurality of modularized modules and the modularized modules are packaged and deployed by a uniform interface, so that the coupling degree between the modules is remarkably reduced, and the problem of global code change caused by module dependence in a traditional single architecture is avoided; direct calling is replaced by an event-driven mechanism, asynchronous communication and decoupling cooperation between modules are realized, and the stability and maintainability of the system during function change or addition are improved; the configuration driving mechanism enables the business process to be dynamically adjusted, different business requirements can be met without modifying a program source code, the plug-in management mechanism provides a standardized third-party extension access channel and supports function loading according to requirements, and the limitation that a traditional system is fixed in function and closed in development is broken through; according to the method, the software can run consistently in Windows, Linux, MacOS and other environments, and the key problems that in the prior art, the coupling degree is high, the expansibility is poor, configuration is not flexible, and the platform adaptation capacity is weak can be effectively solved.

The invention provides a multi-tenant data pushing method, and relates to the technical field of computer software and information, and the method comprises the steps: achieving unified identity authentication through single sign-on, and dynamically distributing a pushing authority based on an authority strategy; defining conversion rules and tasks by utilizing a visual interface of the low-code configuration center, and generating a standardized data packet; and centralized scheduling is carried out in a multi-tenant management and control center, and the stability of the system is guaranteed by combining a current limiting and dynamic retry mechanism. Source system data are collected in real time, and format conversion is completed through a rule engine after grammar, permission and event state verification. And pushing in an asynchronous mode, and recording full-link information including a tracking ID, a timestamp, a data fingerprint and a response state. And when pushing fails, a compensation mechanism is triggered, degradation or retry is carried out according to a preset rule, final consistency of data is ensured, and the reliability and maintainability of the system are improved.

The invention relates to the technical field of computer programming, and discloses a Go language structural body automatic conversion method and system. The method comprises the following steps: firstly, receiving definitions of a source structure body and a target structure body as input, automatically matching fields of the two structure bodies through a field mapping rule engine according to a preset rule, and generating a field mapping relationship; then, based on the field mapping relation, a code generator is used for automatically generating a conversion code containing field assignment and type conversion logic; finally, the generated conversion codes are compiled into an executable conversion function, and the function can convert data in the source structure instance according to the field mapping relation during program running and fill the data into the target structure instance. According to the method, automation of structural body conversion is achieved, the problem that errors are prone to occurring when conversion codes are written manually is solved, and the maintainability of the codes is improved; the mode of reflection during operation is replaced by code generation, so that the conversion efficiency is remarkably improved; meanwhile, the method supports batch conversion and concurrent processing, and can meet the performance requirements of large-scale data processing.

The invention relates to the technical field of industrial automation process control, and discloses a data source adaptation and control binding method, device, equipment and medium, comprising: establishing a variable model to generate a variable directory, constructing a data source adapter to generate a data source mapping table and a read-write interface set, generating a control tree in a visual control designer, establishing a binding relationship between control attributes and variables, loading a variable binding engine, analyzing a binding path, generating an execution plan, registering change monitoring, accessing a read-write interface set of a target data source adapter based on the execution plan to complete variable read-write, and generating an execution record, and responding to a variable change event or a control input event to trigger control value write-back and interface refreshing, and finally collecting a variable directory, a binding relationship, a control tree and an execution record to generate a package configuration file. Through a unified variable model and control binding mechanism, cross-data-source analysis and bidirectional linkage are realized, and the interaction efficiency and the system maintainability are improved.

The invention discloses a rapid exchange chip resetting method and system, and belongs to the technical field of chips. The method comprises the steps of abnormal trigger type identification, reset granularity dynamic determination, operation state freezing, hierarchical reset execution, reset validity verification and redundant reset system reconstruction, rapid abnormal positioning is achieved through hardware monitoring and feature matching, a dynamic reset strategy generation mechanism is combined, the reset granularity is accurately controlled according to the abnormal severity degree, and the system reliability is improved. Excessive reset or insufficient reset is avoided, the system resource utilization rate and the fault processing efficiency are improved, a state freezing technology is operated to maintain the state of a key register, progressive pulse injection and priority control of hierarchical reset execution are matched, it is ensured that a key module is preferentially recovered, the energy consumption is reduced while the reset effect is ensured, and the system performance is improved. Reset effectiveness multi-dimensional verification is combined with redundancy reset and a system reconstruction mechanism, a standby repair scheme is dynamically triggered for different fault types, and the reliability, fault-tolerant capability and maintainability of the system are improved.

The embodiment of the invention discloses a method for generating page codes and electronic equipment. The method comprises the steps that a design file provided for a target page or a target area in the page is acquired; extracting visual feature information respectively corresponding to a plurality of design elements from the design file; the visual feature information of the design elements is assembled to a preset prompt information template to generate prompt information, and the prompt information template further comprises an optional component set which comprises use method information corresponding to multiple components and page development specification information; the plurality of components are respectively associated with predefined component codes; and calling an artificial intelligence (AI) generation model according to the generated prompt information, so that the AI generation model selects matched components for the plurality of design elements respectively, and generating description contents of page frame codes in a mode of quoting the components. Through the embodiment of the invention, the page development efficiency can be improved, the cost can be reduced, and the maintainability of page codes is considered.

The invention discloses an AI-based browser user behavior recording intelligent workflow method and system, and relates to the technical field of workflow management.The method comprises the steps that interaction behaviors are recorded in a browser, and normalized event data are generated; the input recording cooperative agent performs user task intention analysis and abstracts the user task intention into a structured workflow; inputting a recording test agent for verification, and adjusting the structured workflow to obtain a verified target workflow; the browser is driven to automatically execute and monitor the execution state, a self-repairing strategy is triggered for adjustment when the execution state is abnormal, and the target workflow is updated when self-repairing succeeds. Through the technical scheme of the invention, standardized modeling and precipitation of the browser event flow are realized, the workload of establishing an automatic process is reduced, the use threshold of establishing the browser automatic process is reduced, the execution success rate and stability of the target workflow are improved, and the user experience is improved. And the robustness and the long-term maintainability of the automatic process are effectively improved.

The invention discloses an interface dynamic implementation method, a medium and equipment. The method comprises the following steps: converting a source code interface file into a structured description file; constructing a mapping relation library of the interface components and the implementation codes; storing the structured description file as an independent interface structure data instance, storing external business data as an independent business data instance, and establishing a separated storage system of the interface structure data and the business data; and analyzing the structured description file, judging whether the attribute value of the interface component is a business data type, and if yes, replacing the business data instance with the business data to generate a final interface. According to the method, the component instance is matched based on the mapping object, the interface is dynamically generated, an exclusive analyzer does not need to be developed for a single component, and the dynamic efficiency and maintainability of the interface can be remarkably improved.

The invention relates to the technical field of artificial intelligence and software development, in particular to a context-aware code generation and real-time optimization method and system based on a large language model.The method comprises the following steps that a compiler front-end technology is utilized, input codes are analyzed, and an abstract syntax tree is constructed; function definition, variable declaration and statement block structure information are extracted through an abstract syntax tree, so that syntax and semantic structures of codes are obtained, and basic data support is provided for subsequent code generation and optimization; the method has the beneficial effects that the context graph covering grammar, semantics and runtime behaviors is constructed by fusing static grammar analysis (AST construction) and dynamic execution tracking (such as variable value change and function call time sequence), and the problem of context perception deficiency in a traditional code generation technology is solved. And the compatibility, the maintainability and the expandability of the generated code and the project architecture are improved.

The invention discloses a code obfuscation method, device and equipment and a storage medium, and belongs to the field of financial science and technology, and the method comprises the steps: obtaining an original byte code file corresponding to an application program source code; identifying to-be-confused data in the original byte code file, and confusing and renaming the to-be-confused data according to a mapping name of the to-be-confused data in the naming mapping table to obtain a first confused file corresponding to the original byte code file; identifying a control flow in the first confusion file, and performing confusion recombination on the identified control flow to obtain a second confusion file; and performing confusion processing on methods contained in various types in the second confusion file to obtain a target confusion file. According to the method, the maintainability and the resistance of the application program source code are enhanced, the risk that the application program source code is decompiled is reduced, the safety of the application program source code is improved, and then the safety of the application program is improved.

The embodiment of the invention discloses a document generation method and device, electronic equipment, a storage medium and a program, and relates to the technical field of financial science and technology. The method comprises the following steps: acquiring key process element information of each key process element in a target development process; constructing a multi-tuple model of a development process document according to the key process element information; converting the information of the key process elements included in the multi-tuple model into a knowledge graph; and converting the knowledge graph into a development process document of the target development process. According to the technical scheme provided by the embodiment of the invention, the efficiency, flexibility and accuracy of development process document generation can be improved, and the readability and maintainability of the development process document can be improved.

The embodiment of the invention discloses an agent arrangement method and device, a storage medium and terminal equipment, and relates to the field of agent editing. According to the method, the intelligent agent nodes with the same function are merged into the fused intelligent agent nodes, so that the complexity of the intelligent agent flow chart is remarkably simplified. The flow chart is clearer and easier to understand, unnecessary nodes and connecting lines are reduced, and the readability and maintainability of the flow are improved. Due to the fact that the agent nodes are combined, the user does not need to process too many details when editing and managing the agent process, the operation complexity can be reduced, and the user can complete design and adjustment of the process more quickly and more accurately. Occupancy of system resources can also be reduced by combining the agent nodes. And during operation, the fusion agent node can be processed as a whole, so that the calculation overhead and the memory occupation are reduced, and the overall performance of the system is improved.

The present invention relates to the fields of computer science and information technology, and specifically to a fault isolation and rapid recovery system based on a microservice architecture, which integrates automated fault detection and identification technology, intelligent grayscale release mechanism, fault isolation technology, rapid recovery strategy and elastic microservice design to provide efficient and reliable fault management and system recovery solutions. By analyzing the operating indicators and log data of microservices, using machine learning algorithms to detect abnormal behaviors, automatic fault detection is achieved; using containerization technology and Kubernetes clusters for intelligent grayscale release, and real-time monitoring of the application status of new versions; achieving fault isolation through service grids, and using Kubernetes automatic expansion strategies to increase the number of healthy Pods and quickly isolate faults; when a fault occurs, through the rollback operation in the CI / CD process, the above technical measures are used in combination to effectively improve the stability, flexibility and maintainability of the system, and are suitable for complex and changeable production environments.

The invention relates to the technical field of micro-service architecture and intelligent operation and maintenance, and discloses a micro-service dynamic heterogeneous routing system and method based on a large model, and the system comprises a semantic control layer, a protocol adaptation module, a path optimization module, a path scheduling module, and an execution layer. The method comprises the following steps: analyzing a micro-service API document through a large language model, extracting a semantic dependency relationship between services, and generating a service dependency graph; analyzing a business semantic chain; selecting a path with the minimum cost by applying a path optimization algorithm; optimizing path scheduling by using reinforcement learning according to real-time network conditions and service requirements; and finally executing path optimization and performing protocol adaptation conversion. According to the method, the API document is analyzed through the large language model to automatically construct the service dependency graph, the path is dynamically adjusted in combination with the path optimization and reinforcement learning algorithm, and the optimization problem of the service calling path is solved. Through the protocol adaptation execution unit, automatic adaptation of the cross-protocol service is realized, and the efficiency and maintainability of the system are improved.

The invention discloses a firmware-level security protection system and method for a hard disk of industrial automation equipment, particularly relates to the technical field of storage security protection, and is used for solving the problem of abnormal tampering of firmware. According to the method, instruction calling, interface access and interrupt timestamps are collected in a sliding window, a behavior sequence set containing an instruction sequence, calling frequency and sensitive marks is constructed and compared with a reference sequence library, firmware-level judgment on operation abnormity, access border crossing and tampering risks is triggered based on a transfer relation and an offset index, and the operation safety is improved. The method comprises the following steps of: dividing firmware into a control domain, a data domain and a configuration domain, realizing minimum permission and dynamic isolation by relying on state and permission mapping and permission register and interface shielding, forming a flow from detection to isolation to closed loop recovery by combining protected segment integrity verification and local copy hot switching, writing an exception into a protected loop log area for threshold updating, and performing protection on the protected loop log area. And the tamper-proof performance, the operation safety and the maintainability of the firmware are integrally improved.

The invention discloses an intelligent routing and unified adaptation method for a large language model, and the method comprises the steps: defining all access details of the model through a declarative configuration file, and achieving the zero-code access of the large language model without writing any code for a newly-added model; a completely consistent calling interface is provided for an upstream application, the isomerism of all downstream large language models is shielded, and a unified request and response abstraction layer is constructed; through a strategy engine and a JSON path technology, complex streaming response including content thinking is precisely processed, and intelligent analysis and content extraction are carried out; dynamic configuration and intelligent strategy hot update are supported; intelligent routing of the model is realized, and an optimal large language model instance is dynamically selected; and meanwhile, enterprise-level governance capability is provided, governance functions such as fusing, degradation, current limiting and monitoring are integrated, and stability guarantee is provided for model calling. Therefore, the maintainability, the expandability and the user experience consistency of the system are comprehensively improved.

The invention belongs to the technical field of data mining and analysis processing, and particularly discloses a real-time data stream processing method and system based on distributed computing, and the method comprises the steps: obtaining real-time and historical data streams of a server program window, employing a time sequence synchronization mode to rapidly position and start a window matching path and historical abnormal performance, and obtaining a real-time data stream of the server program window; the high real-time requirement is met; historical abnormal event statistics and real-time data flow similarity analysis are combined to dynamically construct a distributed tracking link, a depth-first search algorithm is used to predict a risk event, and an abnormal probability and a deviation degree are accurately quantified; different optimization strategies are configured according to different performance parameters, a multi-level defense mechanism is formed, and the self-adaptive capacity of the system is improved. According to the method, the interaction track and the performance parameter set are comprehensively analyzed, the abnormal performance link relation is marked, abnormal event correlation analysis is refined, the maintainability and expansibility of the system are enhanced, and the data processing efficiency is remarkably improved.