710 results about "Maintainability" patented technology

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 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 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 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 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 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 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.

To provide a management system that improves the maintainability of a configurator.SOLUTION: A management system manages a configurator that selects candidate combinations of elements that configure a product. The management system comprises: a storage unit for storing configuration information that defines data related to the elements, data related to connections between the elements, and data related to constraints on the connections; and a control unit for selecting candidates for the combination based on a request received from a user and rules related to the combination of the elements generated from the configuration information.SELECTED DRAWING: Figure 1

The invention discloses a task scheduling method, electronic equipment and a storage medium. The method is applied to a configuration center side and comprises the following steps: acquiring a configuration instruction subjected to permission verification; acquiring multi-dimensional service scene data based on the configuration instruction, and inputting the multi-dimensional service scene data into a preset adaptive strategy model to generate a corresponding target adaptive strategy; the preset adaptive strategy model is obtained based on rule learning and transfer learning training; and performing visual simulation verification on the target adaptive strategy, and issuing the target adaptive strategy passing the verification to a server side. According to the scheme, the target self-adaptive strategy adaptive to the current service scene is generated through the multi-dimensional service scene data collected in real time and the preset self-adaptive strategy model, and the target self-adaptive strategy passing the visual simulation verification is issued to the server side for scheduling execution, so that the optimal task scheduling in the dynamic service scene can be realized, and the task scheduling efficiency is improved. And the autonomy and maintainability of the system are improved.

The invention discloses a method and a system for automatically generating a PLC (Programmable Logic Controller) program, a storage medium and a program product. The method comprises the following steps: creating a PLC standard library file; establishing a code generation method library according to the PLC standard library file; creating a project control object list file, and establishing a corresponding equipment attribute set according to the attribute information of the project control object list file; and matching the equipment attribute set with the code generation method library to generate a corresponding PLC program. According to the method, the PLC program can be automatically generated through the code generation method library, an engineer does not need to manually write a large number of codes, the project development period is greatly shortened, and in addition, the readability and maintainability of the program written through the method are greatly improved; no matter how large the actual PLC project exists, the program can be quickly generated only by configuring the project control object list, so that the code writing efficiency is greatly improved, and meanwhile, the labor cost is greatly reduced.

The invention relates to the technical field of front-end application development, in particular to a micro-front-end architecture-oriented cross-application state management, style isolation and resource collaborative loading method, which comprises the following steps of: constructing a state management module, establishing a unified state communication protocol based on a publishing / subscribing mode, and realizing safe state synchronization through an authority control mechanism; a style isolation module is constructed, a Shadow DOM and CSS rule rewriting double isolation strategy is adopted, dynamic style elements are automatically processed, and the problem of style pollution is thoroughly solved; constructing a resource coordinator module, and realizing dependent intelligent management and multi-version coexistence based on semantic version specifications; and the configuration management center uniformly coordinates the work of each module. According to the method, safe communication, reliable isolation and efficient resource utilization between micro front-end sub-applications are realized, three core problems of difficult state management, pattern conflict and resource redundancy in the prior art are solved, and the maintainability, the stability and the development efficiency of a large front-end project are remarkably improved.

The invention relates to the technical field of embedded system construction, in particular to a software dependency relationship automatic integration method and system based on meta packaging, and the method comprises the steps: S1, creating a meta packaging framework in an embedded construction system, and defining and constructing a stage hook through a Makefile; s2, automatically deploying the pre-compiled software package and the shared dependency library to a target directory of a construction system through a resource injection script; s3, analyzing a metadata file of the pre-compiled software package, extracting dependency relationship information, and generating a global dependency relationship list based on a directed acyclic graph topological sorting algorithm; and S4, inversely writing the global dependency relationship list into the dependency declaration configuration of the meta-packaging by utilizing the dependency aggregation script. By implementing the scheme, the problems of dependency sequence disorder and metadata auditing failure during embedded system integration are solved, the reliability of system integration is improved, the system construction efficiency is optimized, the safety of system construction is enhanced, and the maintainability and expansibility of system construction are improved.

The embodiment of the invention discloses an automatic test script repairing method and related equipment, which are used for solving the problem of failure of an automatic test script locator caused by frequent change of a user interface and improving the stability and maintainability of a test script. The method comprises the steps that the execution process of a test script is monitored, and if a locator of a target element related to current target operation in the test script fails, failed page feature information of a current page is collected; generating at least one candidate locator through a pre-trained locator generation model based on the failed page feature information; and verifying the candidate positioners generated by the pre-trained positioner generation model, and taking the candidate positioners passing the verification as the repaired positioners and updating the repaired positioners to the test script.

The invention discloses a spiking neural network deployment method and a deployment tool chain based on intermediate representation, and the method comprises the steps: carrying out the model analysis and structure mapping operation of a trained ANN-ONNX model, generating an SNN-ONNX model with a pulse characteristic, carrying out the optimization of a weight parameter through the combination of transfer learning and a precision fine tuning strategy, and carrying out the optimization of the weight parameter. Therefore, the expression ability and adaptability of the converted model are improved, and the reasoning execution performance of the SNN model on a target platform is improved by adopting an optimization means; meanwhile, an SNN-oriented modular operator component library is constructed, and the portability, maintainability and expandability of operators among different hardware platforms are enhanced by adopting an abstract interface and a design mode of specifically realizing decoupling. According to the method, efficient deployment of the SNN model on a target hardware platform is achieved, performance fidelity of the model under the function equivalent condition is ensured, and the method has wide engineering application prospects in the fields of edge calculation, low-power-consumption intelligent terminals, brain inspiration type artificial intelligence and the like.

The invention relates to the technical field of artificial intelligence and knowledge engineering, and provides a digital human knowledge graph dynamic iteration system and method based on user feedback. According to the method, the timeliness and automation level of knowledge updating are improved; the configuration efficiency of technical resources is optimized; a data-driven iterative verification closed loop is constructed; according to the knowledge service system, the maintainability and robustness of the system are enhanced, the system has the capabilities of tracking, querying and rollback any change, the risk of system service degradation caused by misoperation or invalid updating is greatly reduced, and the stability of the whole knowledge service system is improved.

The invention relates to a hardware driving method supporting multiple operating systems, a driving program is divided into an equipment layer and a connection layer, the equipment layer comprises corresponding logic for operating hardware, and the connection layer comprises adaptive codes of the corresponding operating systems; the method specifically comprises the steps that 1, an equipment layer is constructed, same functions are sorted out for equipment of the same type, an equipment type model is abstracted, and a cross-platform unified interface specification is designed according to hardware functions, and the unified interface specification comprises multiple types of interfaces; 2, specific functions are achieved based on the cross-platform unified interface specification designed in the step 1; 3, creating a connection layer; and step 4, realizing the operation of the upper operating system on the equipment on the connection layer. According to the invention, for drive development, the processing modes of asynchronous and synchronous modes are unified, and the development cost is reduced. The hierarchical design function division of the equipment layer and the connection layer is clearer, and the code maintainability is improved.

The invention discloses a memory fault management system and method, a server and electronic equipment, and relates to the technical field of computers, the memory fault management system comprises a processing circuit of a hardware memory, a hardware layer and a processor are arranged on the processing circuit, and the processor is further divided into a kernel layer, a user layer and an input and output layer. Through cooperative work of the hardware layer and each software layer, hierarchical detection, classified processing and automatic isolation of memory error data are realized, and server downtime caused by memory fault error data is effectively prevented. And meanwhile, through a linkage mechanism of a kernel mode and a user mode and in combination with visual display, the monitorability and maintainability of memory errors are enhanced, operation and maintenance personnel can quickly position and repair problems conveniently, and the operation and maintenance cost of the system is reduced.

A computer-implemented method and system standardize code patterns within enterprise software environments. A code modernization system utilizes a Large Language Model (LLM) and a specialized prompt library. The library includes pattern recognition prompts to guide the LLM in identifying specific code patterns within selected software code, potentially using enterprise-specific context. It also includes standardized solution prompts to guide the LLM in generating replacement code conforming to predefined enterprise standards for the identified patterns. The system orchestrates communication, transmitting code and relevant prompts to the LLM and receiving identified patterns and subsequently the generated standardized replacement code. This automated approach facilitates improved code quality, consistency, maintainability, and can support code translation efforts within the enterprise.

The invention discloses a dynamic interface implementation method based on a JavaSpringBoot framework, which relates to the technical field of project development and comprises the following steps: shielding SpringBoot default mapping; initializing a dynamic rule engine, and loading and caching an interface rule; the records meeting the enabling and version conditions are constructed into routing objects; constructing a dynamic routing directory, and dynamically registering and binding a routing object and the processing flow template; the user-defined entry agent intercepts an HTTP (Hyper Text Transport Protocol) request, submits the context of the request to the DynamicRouteCatalog, and performs efficient matching; and uniformly packaging the response data into a JSON format. Through cooperative work of the dynamic rule engine, the dynamic routing manager and the responsibility chain execution framework, interface dynamic registration, high-performance matching, multi-version parallel and online switching, pluggable business process and end-to-end observability are realized on the basis of ensuring the analysis capability of a SpringBoot native container; the flexibility and the maintainability of the system are improved, and the stability and the safety in a high-concurrency scene are also considered.

The invention relates to the technical field of computer programming languages, and particularly discloses a computer language programming method based on business logic. Aiming at the defects of deep coupling of business logic and technology implementation, high cross-domain adaptation cost, hardware operation code redundancy, high asynchronous programming complexity and the like in the prior art, the invention provides the following core schemes: a modularized development framework, a cross-platform adaptive mechanism, an event hierarchical model, a hardware intention analysis engine and a code, namely a document system. According to the method, the development complexity of a multi-field system is remarkably reduced, the business logic expression efficiency and maintainability are improved, the method is suitable for cloud micro-services, embedded equipment and mixed language scenes, and a technical basis is provided for intelligent programming.