390 results about "Maintainability" patented technology

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 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 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 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 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 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 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 discloses an interactive document editing canvas method, which comprises the following steps of: establishing a data-view mapping relation directly driven by a Vue2 responsive system between a canvas container and an element array, any addition, deletion and modification operation aiming at the node description data set can be instantly and accurately reflected to the style and attribute of the corresponding DOM child node without manual intervention, so that element positioning, rendering and follow-up editing are completed in the same technical action, the delay and inconsistency risk caused by frequent and direct operation of a real DOM in a traditional scheme is eliminated, and the operation efficiency is improved. The interaction fluency, the layout intuition and the system maintainability are obviously improved; by means of a virtual DOM mechanism of Vue2, batch diff is carried out and then submitted to a real DOM in a unified mode, the number of rearrangement and redrawing times of a browser is reduced, CPU and memory occupation is further reduced, and the canvas still keeps smooth response even in the scene with dense elements and frequent updating.

The invention discloses a method and a system for controlling a Docker container starting sequence based on a Shell script. The method comprises the steps that for a container deployed through a docker run command, a reset parameter of the container is modified from always to on-failure, so that the container is triggered to be restarted only when a non-zero exit code exits; constructing a ready detection mechanism based on TCP port detection; compiling a Shell script, starting containers in sequence according to a preset topology, and waiting for the dependency service to be ready; and packaging the script into a Systemd service to realize automatic triggering of the system. According to the method, on the premise that Docker Compose is not introduced, the problem of micro-service dependency failure caused by Docker default concurrent disordered starting is solved, and the method has the advantages of being light in deployment, flexible in configuration, high in automation degree, high in maintainability and the like and is suitable for containerized environments independently deployed based on docker run.

The application provides a system and a control method for implementing a DSP reset process based on FPGA, and relates to the technical field of DSP reset. A first IO pin of the FPGA is connected with a reset pin of the DSP through a DSP reset line to control the reset process of the DSP. A second IO pin of the FPGA is connected with a GPIO pin of the DSP through a DSP state flag line to represent the reset state of the DSP, so that initial reset control and midway crash reset control are completed. The reset signal of the DSP is controlled by the FPGA, and the application has the characteristics of flexibility, time controllability, state controllability, field maintainability and the like, and effectively solves the two technical problems of power-on non-starting and midway crash of the DSP.

The invention discloses an operation automation generation method and device and a storage medium, and relates to the technical field of automatic operation, and discloses an operation automation generation method, which comprises the following steps: generating a skill model based on an operation behavior sequence of a user in a business system, the skill model comprising a plurality of atomic operations, the execution condition and the sequence dependency relationship of the atomic operation are determined; in response to the automatic execution request, obtaining a current interface of the target service system, and comparing the current interface with a historical interface associated with the corresponding atomic operation in the skill model; according to a comparison result, performing adaptive adjustment on the corresponding atomic operation in the skill model to obtain an adjusted skill model; and based on the adjusted skill model, executing automatic operation in the target business system. Through an adaptive adjustment mechanism, the automatic process can dynamically adapt to the interface change of the target business system, and the maintainability of cross-system operation automation is effectively improved.

The invention relates to a security log snapshot method, device, equipment and medium based on time slicing, the method adopts a'time slicing 'technology, and time after a fault occurs is divided into three stages: a first stage, a main processing domain (100) completes key security actions including signal closing and train braking; in the second stage, safe side operation is confirmed, and the main processing domain (100) enters a'safe shutdown process' and still continues to record a fault log; and in the third stage, the main processing domain (100) is powered off, and the independently arranged maintenance domain (200) relays to record subsequent logs. Compared with the prior art, the method has the advantages that the contradiction between fault-oriented safety and maintainability time is successfully solved through the strategy of time slicing and parallel recording.

The invention discloses a development management system and method for an API interface, and relates to the technical field of software engineering. The system comprises: an intention understanding and design engine, which analyzes a multi-modal service demand into a structured API development task; the agents collaboratively develop a network, and the multiple AI agents are dispatched to generate API specifications, codes, test cases and deployment configurations in parallel; the API ecological dynamic map construction module is used for automatically constructing and updating a dynamic map of dependency and data flow direction between APIs based on a generated product; a continuous learning and evolution engine analyzes the atlas and operation data to identify optimization points and generate or execute evolution policies. All the modules form a closed loop, and output of the evolution engine is fed back to the intention understanding engine to optimize subsequent design. The corresponding method comprises the steps of demand analysis, intelligent collaboration, atlas construction and closed-loop optimization. According to the method, automatic development, intelligent collaboration and continuous architecture optimization of the API are realized, and the development efficiency and the system maintainability are improved.

The invention provides a modularization and standard interconnection technical scheme of a novel universal extensible plug / socket, and various derived standard interface specifications, interface fasteners, plug modules, socket modules and the like. The scheme can be used as a supplement of the existing national standard and becomes a standard of internal modularization and interconnection of plug / socket products, so that the universality, the expansibility, the reliability, the durability, the maintainability and the like of the products are greatly enhanced. Under the support of standardization, the competitiveness of terminal products is continuously enhanced through continuous modular function innovation and product appearance design of enterprises; under the support of a plug-and-play idea and an actual modular product, a user continuously continues and upgrades the life cycle and product functions of the existing socket and electric appliance products through continuous modular increase, decrease, combination and replacement. According to the invention, a large type of plug / socket product market with great market potential and commercial value can be created, and huge market substitution and increment effects can be exerted.

The invention provides a system, method and device for updating FPGA firmware online. The method comprises the steps that a processor module outputs a control signal of a first level state to a switching control module through a universal input and output interface; the switching control module responds to the control signal of the first level state and establishes a first communication path between the serial peripheral interface of the processor and the storage module; writing the update data stream into the storage module through the first communication path; after the update data stream is written, establishing a second communication path between the FPGA module and the storage module; and the processor module sends a start loading command to a configuration register of the FPGA module, and triggers the FPGA module to read and load the update data stream from the storage module through the second communication path so as to complete online update of firmware. According to the method, the equipment maintainability in a scene with high reliability requirements is improved, the operation and maintenance cost and the time overhead are remarkably reduced, and meanwhile, the continuity and the availability of key system services are ensured.

Methods, systems, and products for sustainable Reliability, Availability, and Serviceability (RAS) balancing based on predictive models includes predicting, based on one or more predictive models, a potential failure within a computing system, and provisioning, based on the potential failure, one or more redundant resources for failover.

The invention relates to the technical field of computer software, and discloses a bridging method and system for a cross-language interface of KaihongOS, a terminal and a storage medium. The method comprises the steps that an interface definition file is analyzed, and function declaration information of a target interface is obtained; analyzing a native interface definition file to obtain implementation information of a native interface corresponding to the target interface; and based on the function declaration information and the implementation information, according to a preset bridging rule, automatically generating a bridging function code conforming to a target operation environment, and bridging a cross-language interface through the bridging function code. According to the method, through automatic analysis and code generation, the bridging function code meeting the target operation environment is automatically generated by improving the code quality, and repeated labor and potential errors in manual writing are avoided. A preset bridging rule ensures the consistency and maintainability of codes, the technical threshold can be effectively reduced, and the project cycle is shortened.

According to the electroencephalogram collecting and information processing system and method, the service analysis process processing line of the whole system is clear, a plurality of function modules correspond to different threads, and the different threads run in parallel to improve the data processing efficiency; different function modules are provided with corresponding independent buffer areas, the buffer areas are used for storing data needing to be processed by the corresponding function modules, and a single function module can send a processing result to the buffer area of a target function module after completing data processing in a corresponding thread of the single function module. Therefore, control decoupling and data decoupling among a plurality of functional modules are realized. Therefore, the system has high stability and maintainability, and meanwhile, each functional module can be independently tested, so that a new module can be conveniently inserted into the upper computer or the module can be conveniently upgraded, and the expandability of the electroencephalogram acquisition and information processing system is enhanced.

The invention discloses a real-time processing method and system for distributed data streams, and particularly relates to the technical field of distributed data processing, and the method comprises the following steps: collecting multi-source data streams and marking priorities, combining data types and priorities to carry out adaptive segmentation, carrying out load balancing distribution on processing units, and resolving data conflicts; and incremental integration and caching of hotspot data are carried out, and full-link tracing and dynamic tuning are carried out. The system comprises five modules, namely an acquisition labeling module, a segmentation module, a parallel processing module, an integration optimization module and a tracing tuning module. According to the real-time processing method and system for the distributed data flow, priority processing of core data is achieved, data consistency is guaranteed, the resource utilization rate and the system maintainability are improved, and the processing requirements for high real-time performance and high reliability are met.

The present application relates to a kind of hierarchical concurrent state migration net methods for digital twin virtual debugging, the main principle and structure of mechanism that the method has and main construction process are listed;The method is realized by composite state and subnet mechanism hierarchical abstract management of macroscopic process and microscopic execution details, utilizes global event publishing-response and cross-subnet state dependence mechanism to realize the dynamic linkage and synchronous interlocking between concurrent components, and the mutual exclusion access and release of shared resources are completed in combination with global resource token mechanism.Based on this, visual and verifiable concurrent process model can be generated in virtual debugging environment, and deadlock detection and resource bottleneck analysis are supported, thereby significantly improving the accuracy, reliability and maintainability of complex production unit or software system digital twin virtual debugging.

The invention provides a multi-task scene-oriented maintenance reachability simulation optimization method and system, and relates to the technical field of spacecraft maintenance engineering, and the method comprises the steps: determining an index constraint condition; constructing a digital human body model library, and determining an operation constraint condition; building a three-dimensional digital prototype environment of operation, and executing process simulation and evaluation of a multi-element maintenance task scene according to index constraint conditions and operation constraint conditions by embedding a digital human body model; according to the simulation evaluation data, the maintenance difficulty is identified, risk quantitative evaluation is carried out, and a maintenance improvement scheme is generated; and an accessibility criterion is excavated, and maintenance operation guidance is carried out. The technical problem that in the prior art, due to the fact that maintainability analysis lags behind and the multi-task scene evaluation capability is insufficient, the maintenance reachability problem can only be passively found in the physical model machine stage, and then the maintenance effect is affected is solved, quantitative modeling and digital simulation are combined, the maintenance reachability of the rocket is evaluated, and the maintenance efficiency of the rocket is improved. And the maintenance effect is improved.

The invention discloses an application software architecture for encapsulating a task management and synchronization mechanism of an operating system, and belongs to the technical field of industrial real-time control. According to the architecture, an operating system task management and synchronization mechanism is modularly packaged into three types of objects: an employee type for packaging specific business execution logic; the pipeline class is used for packaging inter-task communication and synchronization functions; and the behavior class is used for packaging an operating system task entity and is responsible for scheduling employee objects contained in the behavior class to be executed orderly. The three types of objects are created, assembled and started through a factory mode according to configuration information to form a complete real-time task system. According to the method, through object-oriented packaging and configuration assembly, the problems of tight task coupling and difficult code maintenance in traditional process-oriented programming are solved, loose coupling and high cohesion among task modules are realized, the configurability, maintainability and expandability of industrial real-time software are remarkably improved, and the method is suitable for various real-time operating system environments.

The application discloses a page generation method, device, equipment, medium and product. The page generation method comprises the following steps: acquiring and displaying a candidate component list, wherein the candidate component list comprises a plurality of encapsulated components; receiving a first input of a user for a first component in the candidate component list, wherein the first input is an input of dragging the first component to a target page; and generating the target page containing the first component in response to the first input. According to the embodiment of the application, the workload of the front-end developer can be reduced, the development efficiency is improved, and the reusability and maintainability of the components in the page are improved.

The invention relates to the technical field of order management, in particular to a mobile charging order processing system and method based on a workflow engine. The interaction module is used for realizing visual configuration and workflow monitoring; the system comprises a state machine engine and a rule engine, the rule engine and the state machine engine cooperatively work, the rule engine is used for processing complex logic judgment in services, and when encountering nodes needing decision making, the state machine engine can call the rule engine to obtain decision making results and then drive state circulation according to the results. The event driving layer comprises an event dispatcher and an event coordinator, the event dispatcher is responsible for efficiently and reliably transmitting events, and the event coordinator is responsible for processing cross-service complex business processes and realizing thorough decoupling among business components; and the data support layer provides data support for the interaction layer, the core engine layer and the event driving layer. And order processing is converted from a code writing normal form to a model configuration normal form, so that unprecedented flexibility and maintainability are realized.

The application relates to the technical field of industrial measurement and control software, and discloses a nationwide state-oriented measurement and control platform which adopts a layered architecture and comprises the following: an application service layer for providing a man-machine interactive interface and executing business logic; a unified business message layer for providing a standardized data communication interface; a multithreaded time sequence scheduling engine for parallel receiving, scheduling and processing real-time tasks; a unified hardware abstraction layer for encapsulating the differences of different field bus drivers and providing a unified device operation interface; a domestication adaptation layer constructed on a Qt core framework and used for providing a unified driving abstraction across domestic chips and operating systems; and a hardware access layer for directly interacting with physical hardware devices.The application realizes 'one-time development and cross-domestic platform deployment', significantly improves the real-time performance, maintainability and expandability of the system under the domestic ecological environment, and meets the dual requirements of self-controllability and high performance.

The application provides a lightweight log generation method, system and electronic equipment, and relates to the technical field of computer software.The method comprises the following steps: creating a running log management task and an operation log management task with lower priority than an application task, and establishing a message queue; when a log event is generated by the application task, a formatted log message containing a timestamp, a log level, a module identifier and content is generated and sent to the message queue; the log management task asynchronously acquires the log message, and distributes the log message to a running log folder or an operation log folder according to the log level and type; and the size of the log file is monitored, and when the capacity threshold is reached, a cover writing mechanism is enabled to recycle the file storage area.The application realizes asynchronous decoupling of log recording and the application task, supports hierarchical classified storage and cyclic coverage, significantly improves the maintainability and debugging efficiency of the embedded system while ensuring real-time performance, and meets the lightweight log demand in a resource-limited environment.

This invention belongs to the field of data processing technology and discloses a unified encapsulation method and system for data mining algorithms. The method includes encapsulating data mining algorithms into algorithm components that match a common interface template, building an evaluation model based on the algorithm components, constructing a pipeline using the algorithm components through a graphical interface to obtain the data mining model, automatically adjusting the data mining model through machine learning and optimization algorithms, and finally encapsulating and deploying the data mining model to a target area. This invention enables users to call different algorithms through a unified interface. Calling the algorithms as a service makes the algorithm components more adaptable, facilitates the maintenance and expansion of data mining software, lowers the barrier to entry for data mining, improves the interactive operation and user experience of machine learning, enhances the flexibility and maintainability of data mining, reduces reliance on business and domain knowledge, saves time and resources, and improves model performance.

The application discloses a kind of applet code compiling method, device, equipment and medium, it is related to financial technology technical field, the method is applied to applet code compiler, which is provided with main package configuration file, subpackage configuration file and processing queue, the applet code compiling method includes: when receiving applet code compiling instruction, the main package configuration file and the file content corresponding to the subpackage configuration file are obtained, wherein the branch code required by different sub-type applets in the applet is set in the subpackage configuration file, and the common code required by different sub-type applets in the applet is set in the main package configuration file;Based on the whole file content, obtain the node to be processed;The node to be processed is placed in the processing queue to be queued and compiled to obtain a compiled file.The application solves the technical problems of poor maintainability and poor code reusability in existing applet code compilation.

The invention discloses a production scheme selection method, device and system, a storage medium and a computer program product. The method comprises the steps of obtaining multi-dimensional production data in a production process; processing the multi-dimensional production data to remove invalid data and unify data formats; target machine type information is received, and at least one corresponding initial production scheme is called from a preset production scheme library according to the target machine type information; based on a preset rule system which can be dynamically adjusted independent of a business process and contains inter-rule association logic and scenarized rule grouping, performing matching screening on the multi-dimensional production data and the initial production scheme to obtain a candidate production scheme; performing quantitative evaluation on the candidate production schemes by adopting a preset multi-dimensional evaluation index system, and determining an optimal production scheme; and verifying the optimal production scheme, and outputting the scheme after the verification is passed. According to the scheme, the flexibility and maintainability of the scheme selection technology are improved, and the scheme selection accuracy is improved.

The invention provides an AI intelligent agent system, and the system comprises a perception processing module which is used for receiving external perception information and processing the external perception information through a corresponding model, and obtaining corresponding perception data; the cache middleware module is used for storing process data, and the process data comprises the perception data and / or context data; the agent scheduling module is used for acquiring a user instruction, acquiring the stored process data from the cache middleware module, filling the instruction and the process data into a cue word template, and delivering the cue word template to the LLM after fine adjustment; the LLM after fine tuning is used for reasoning according to the content of the cue word template to generate a reasoning result. The invention further provides a corresponding working method of the AI agent system. According to the method, the interpretability, the maintainability, the higher generalization ability and the higher response speed of modular design can be achieved at the same time.