96 results about "Configuration analysis" patented technology

The invention discloses a large language model reasoning optimization method and device, electronic equipment and a storage medium, which are used for solving the problem of how to reduce huge resources needed during large model reasoning due to the fact that model reasoning has a large demand on calculation and storage resources due to huge parameter quantity in the prior art. The method comprises the following steps: acquiring configuration parameter data and computing resource data of a large language model during model reasoning in real time; performing static optimization analysis on the configuration parameter data, and outputting a configuration analysis result; performing automatic configuration parameter tuning based on reinforcement learning in combination with the configuration parameter data and the configuration analysis result to obtain optimal parameter configuration; performing dynamic optimization processing on the computing resource data based on an unloading strategy to obtain optimal resource configuration; and according to the optimal parameter configuration and the optimal resource configuration, dynamically optimizing parameter configuration and resource allocation of the large language model during model reasoning.

The invention discloses a distributed service deployment method and a distributed service deployment device based on Kubernetes. According to the method, resource object definition and service metadata are extracted by automatically analyzing a configuration file, and accurate acquisition and standardized processing of deployment information are realized; optimal deployment nodes are dynamically matched based on service characteristics and cluster real-time states, and resource scheduling rationality and service operation efficiency are improved; then automatically creating and starting a service instance at a target node according to an analysis result, and ensuring configuration consistency and standardization of a deployment process; and the service flow is controllably migrated to the new instance through the predefined version switching rule, so that smooth transition and risk controllability of version upgrading are realized. According to the method, the efficiency, the reliability and the version management capability of micro-service deployment are remarkably improved through full-process automatic closed loop from configuration analysis, intelligent scheduling to instance creation and flow switching.

The invention discloses an ANTLR4-based multi-manufacturer network equipment configuration analysis method and system, and the method comprises the steps: carrying out the preprocessing of a configuration file; based on a machine learning algorithm of multi-dimensional feature analysis, automatic identification of configuration file manufacturer types is realized; based on the identification result of the manufacturer type, loading an ANTLR4 grammar parser corresponding to the manufacturer type; a lexical analyzer in ANTLR4 realizes lexical analysis on the configuration file through lexical rule definition, a Token classification system and an optimized analysis algorithm; a syntactic analyzer in ANTLR4 constructs an abstract syntax tree according to a lexical analysis result and a syntactic rule defined based on a context-independent grammar; traversing the abstract syntax tree, and extracting key configuration information; and converting the specific configuration format of each manufacturer into a unified standard model. According to the method and the system, network equipment configuration files of different manufacturers can be automatically identified and analyzed, and key configuration information is extracted and converted into a unified model.

The invention relates to the technical field of software configuration management, and discloses a dynamic configuration analysis processing method and system based on a user-defined XML file, and the method comprises the following steps: S1, receiving a service request, and obtaining service data containing dynamic parameters; s2, acquiring a corresponding configuration object model according to the configuration identifier; s3, traversing the dynamic variable mapping table; s4, if the configuration relates to the external reference, recursively loading the external configuration file and merging the external configuration file to the current configuration context; s5, selecting a cache or dynamic loading strategy according to the configuration type; s6, injecting the final configuration into the service logic module; and S7, dynamically refreshing the configuration through a monitoring mechanism. Standardized XML format specifications are constructed through customized DTD, analysis of cross-file reference labels and dynamic attribute identifiers is supported, unification and modularization of configuration formats are achieved from the bottom layer, the problem of analysis logic fragmentation is fundamentally solved, and the efficiency and flexibility of enterprise-level configuration management are improved.

The invention discloses an intelligent verbal skill process configuration system and method based on a dynamic rule engine, and the system comprises a configuration analysis module, a process engine module, an execution engine module and a large model intention recognition module. The problems of rule solidification, high maintenance cost and low intention recognition accuracy in existing verbal skill process configuration are solved. The configuration analysis module analyzes a JSON format verbal skill rule configuration file to realize visual definition and dynamic update of the rule; the process engine module completes rule instantiation through variable replacement and drives dynamic routing based on an intention recognition result; the execution engine module instantiates a service class by using a reflection mechanism to realize decoupling of rules and service logic; the large model intention recognition module innovatively adopts a semantic similarity weighting algorithm, and intention recognition accuracy is remarkably improved by calculating semantic vector cosine similarity of user input and branch intention and combining service weight and context correlation degree.

The invention provides a visual configuration analysis system for a power supply service event, and the system achieves the unified access and deep fusion of multi-source heterogeneous data through a data fusion module, and generates high-quality power grid situation awareness data. Abstracting physical resources into standardized service units through a resource packaging module, performing centralized management, and constructing a real-time resource pool; through the visual low-code arrangement module, business personnel can flexibly define and modify complex business processes and scheduling requirements in a graphical mode, and the technical threshold is greatly reduced; the metadata processing engine automatically explains and executes the arranged service logic, and intelligently matches and schedules optimal resources according to requirements; and finally, the operation state and result of the system are visually presented through the visual rendering module. The intelligent level and response efficiency of power supply service event processing are improved, flexible configuration and automatic execution of the process from data to resources to business are achieved, and the agility of a power grid to cope with complex events and the reliability of power supply service are enhanced.

The invention discloses a DCS (Distributed Control System) visualization system integrated with PLC (Programmable Logic Controller) communication, which relates to the technical field of DCS visualization systems and comprises a protocol adaptation module, a configuration analysis module, a variable mapping module, a data acquisition module, a quality evaluation module, an analysis early warning module and a visualization guide module. The protocol adaptation module is used for loading communication protocol plug-ins supporting different PLC brands, each plug-in realizes a unified communication interface specification, and a connection channel with PLC equipment is established; the configuration analysis module is used for analyzing a PLC hardware configuration file, extracting equipment address configuration information in the PLC hardware configuration file and generating structured configuration data containing equipment types, slot addresses and module parameters; and the variable mapping module is used for converting a PLC register address into a variable label with a service meaning based on physical address information in the structured configuration data in combination with a preset semantic naming rule, and establishing a mapping relation table of the address and the label.

The invention provides a dynamic human-machine interface generation system for a power conversion device, and the system comprises a configuration file which is used for defining interface elements, attributes and layout rules of an HMI in a structured language; the configuration analysis module is used for reading and analyzing the configuration file and converting the configuration file into a structured object model containing control types, attributes and layout information; the control factory module is connected to the configuration analysis module and is used for dynamically creating a corresponding control instance according to the control type information in the structured object model and injecting the analyzed attribute information into the control instance; the layout engine module is connected to the control factory module and is used for automatically arranging and positioning the control instances according to the layout information in the structured object model; and the rendering output module is connected to the layout engine module and is used for rendering and outputting the interface of which the layout is completed to display equipment. According to the method, diversified HMIs are dynamically generated according to different requirements, and the purpose of improving code quality and development efficiency is achieved.

The invention belongs to the field of network security, relates to a data analysis technology, is used for solving the problem that a most appropriate configuration toolkit cannot be configured for a communication network in the prior art, and particularly relates to a network security intelligent operation method based on artificial intelligence. Comprising the following steps: carrying out operation volume analysis on a network: marking the network which needs network security operation tool configuration analysis as an analysis object, and marking the network which completes the network security operation tool configuration analysis and of which the operation duration exceeds L1 months as an evaluation object; obtaining a volume coefficient of the evaluation object; according to the invention, the configuration mode of the analysis object can be marked according to the service type of the analysis object and the service type of the matching object corresponding to the feature tool, and the network security operation tool configuration analysis of the analysis object is carried out by adopting the corresponding configuration mode according to the coverage degree of the service type in the feature tool. And the network security protection efficiency of the analysis object is further improved.

According to the low-code mechanical arm task configuration analysis method, task configuration information written by a user is read and converted into a structured format file through an analysis engine, and task description of a tree structure is formed; determining logic association among the state modules through semantic analysis and a hierarchical relationship recognition algorithm; a state module behavior is predicted by means of machine learning, a data model conforming to a tree topology structure is constructed, and dynamic adjustment of a task sequence is supported; an intelligent recommendation system is used for evaluating the importance of nodes and automatically supplementing default values, deep learning and natural language processing technologies are combined, errors in configuration information are automatically detected and corrected, a generated data structure is directly used for guiding a mechanical arm to execute a task, the execution state is allowed to be monitored through a visual tool, and the operation efficiency is improved. And tasks are ensured to be performed according to a preset sequence, and response can be quickly made in case of abnormal conditions. According to the method, the task configuration efficiency and accuracy are remarkably improved, and the intelligent level of a mechanical arm system is enhanced.

The invention relates to the technical field of data processing, in particular to a universal real-time rocket telemetry data processing method and system, and the method comprises the following steps: selecting an adaptive configuration analysis plug-in and a parameter analysis plug-in according to a rocket model; receiving rocket telemetry data in real time; reading and analyzing the configuration file through the configuration analysis plug-in, and converting the format of the received rocket telemetry data into a uniform configuration format; and analyzing the rocket telemetry data after format conversion into telemetry parameters through a parameter analysis plug-in. For a specific telemetry data processing task, the system only needs to load the configuration analysis plug-in and the parameter analysis plug-in corresponding to the specific task, no adaptation needs to be carried out in the system, and the universality is high.

The invention provides a BMC automatic test system based on multi-interface high concurrency and intelligent analysis. Structured test parameters are generated through a configuration analysis module, a session management module creates and maintains a multi-user session, and a thread pool controller module dynamically adjusts the size of a thread pool according to the CPU utilization rate of a BMC. And the interface adaptation layer module supports unified calling of multiple protocols. And the result statistics and fault prediction module performs multi-dimensional analysis on a test result, predicts an interface failure probability by adopting an LSTM time sequence model, generates a high-risk interface list and a root cause positioning suggestion, and triggers a retest task. The system supports test task priority scheduling, reserves thread resources for retest tasks, and ensures cooperative execution of main test and retest tasks. The test report is output in an HTML or CSV format. The method can be widely applied to automatic testing and intelligent operation and maintenance scenes of the server BMC, and the testing coverage rate, the efficiency and the problem positioning capacity are improved.

The invention belongs to the technical field of large language model application, and discloses a large model streaming output-oriented intelligent content analysis and multi-modal rendering method, which comprises a configuration analysis module, a JSON configuration file, a multi-modal rendering module and a multi-modal rendering module, the configuration file defines a unique identifier, a start signal, a paragraph start / end mark, a data stream block type and a front-end rendering strategy of each content type, a content type identification rule base and a start mark-content type rapid lookup table are constructed, and millisecond-level mark matching is realized; the state machine control module is used for processing the streaming data based on an idle-preparation-processing three-stage finite-state machine: waiting for a new content starting signal or mark in an idle state, recording a content type after detecting the new content starting signal or mark, and turning to a preparation state; according to the invention, a cross-transport packet identifier repair technology is adopted; the problem that the identifier is segmented in streaming transmission is solved; through a tentative matching algorithm, the system can automatically detect, cache and recombine segmented content identifiers, and ensure the accuracy of content segmentation.

The present invention belongs to the technical field of energy storage power supply supervision, and specifically is a configuration analysis method and system for energy storage power supply, wherein the system comprises a server, a distribution area acquisition module, an energy storage power supply use analysis module, a regional configuration decision module, a regional management judgment module and a background terminal; the present invention analyzes the configuration rationality of energy storage power supplies in a corresponding energy storage area through the regional configuration decision module, and reminds management personnel to appropriately increase or decrease the number of energy storage power supplies in the corresponding energy storage area when generating an unreasonable configuration signal, which is conducive to realizing the reasonable configuration of energy storage power supplies in each area, and analyzes the management difficulty of the corresponding energy storage area through the regional management judgment module to generate a regional management enhancement signal or a regional management maintenance signal, and reminds management personnel to strengthen subsequent supervision of the corresponding energy storage area when generating the regional management enhancement signal, thereby ensuring the safe and stable operation of the energy storage area, and having a high degree of intelligence.

The application relates to the technical field of electric power and water affairs, in particular to a COSEM object data acquisition system and method based on a DLMS protocol and a storage medium, the system comprising a dynamic configuration analysis module, an asynchronous task scheduling module, a state sensing acquisition module and a retransmission guarantee forwarding module.

The application discloses a kind of logistics business data analysis method and device, it is related to computer technology field.The specific embodiment of the method includes: receiving the natural language description information corresponding to the logistics business data input by user, identifies the target index information and target dimension information corresponding to the logistics business data from natural language description information;Based on target index information and target dimension information, the attribution analysis path corresponding to the logistics business data is constructed, and the numerical change data corresponding to target index information is inquired according to attribution analysis path;Based on attribution analysis path and numerical change data, the index change influence factor corresponding to the logistics business data is determined.This embodiment automatically locates the index information and dimension information corresponding to the logistics business data according to natural language description information, and automatically determines index change influence factor through the attribution analysis path constructed, without manual analysis or configuration analysis template, improves analysis efficiency and accuracy, reduces development difficulty.

The present invention discloses a method for intelligent data analysis and automated operation, which relates to the field of data processing technology. Configuration management, parsing business database, establishing data connection; in an offline environment, regularly executing bash scripts, business classification; integrating datav dashboards, reading configuration analysis dimensions, retrieving matching data, rendering as data dashboards of historical periodic statistics; setting the ranking proportion of job information; executing bi‑analyse.sh scripts, doing classification and sorting, synchronizing the sorting data of the offline environment to the specified environment, uploading to the online database, displaying it in the application, importing it into the dashboard platform, recording data updates and data extraction logs, and tracing data changes and extraction. The present invention realizes the internal data integration of small and medium-sized enterprises, reduces the difficulty of data extraction, has high security, improves real-time decision-making capabilities, and improves the overall work efficiency of the enterprise.

According to the code read-write separation analysis method and device, the storage medium and the computer equipment provided by the invention, when code read-write separation analysis is carried out, the business code is triggered to be packaged and compiled, and the interface analysis is carried out on the business code, so that middleware configuration check is carried out on the basis of a plurality of interfaces using read-write separation annotations obtained by analysis; a configuration analysis report is generated, so that problems existing in middleware configuration can be quickly positioned, and a basis is provided for subsequent rectification; the configuration analysis report is compared with a middleware configuration result, interface detail data to be rectified are generated and displayed on a billboard platform, and automation and transparency of problem management and control are improved; and finally, after rectification feedback of the user on the interface detail data is received through the billboard platform, configuration verification is performed on the service code based on the rectification feedback, and a verification result is displayed on the billboard platform, so that a complete rectification closed loop is formed, read-write separation configuration of all the interfaces is ensured to be correct, and production faults caused by configuration problems are avoided.

The present invention belongs to the field of network security and relates to data analysis technology. It is used to solve the problem that the existing technology cannot configure the most suitable configuration toolkit for the communication network. Specifically, it is a network security intelligent operation method based on artificial intelligence, which includes the following steps: performing operation volume analysis on the network: marking the network that needs network security operation tool configuration analysis as the analysis object, marking the network that has completed the network security operation tool configuration analysis and has an operation time of more than L1 months as the evaluation object; obtaining the volume coefficient of the evaluation object; the present invention can mark the configuration mode of the analysis object according to the service type of the analysis object and the service type of the corresponding matching object of the feature tool, and adopt the corresponding configuration mode according to the coverage of the service type in the feature tool to perform the network security operation tool configuration analysis of the analysis object, so as to further improve the network security protection efficiency of the analysis object.

The invention discloses an SOA service access control system and method based on an application sandbox. The SOA service access control system comprises an SOA service client, the application sandbox, a registration center or an SOA service. The SOA service client is arranged in an application sandbox, and the application sandbox is provided with a configuration analysis module, an application sandbox engine and an error alarm module; the SOA service client side at least comprises a configuration file of the SOA service client side, a configuration analysis module of the application sandbox analyzes the configuration file, control over access of the SOA service client side is achieved through an application sandbox engine according to configured strategy rules, allowed operation is forwarded to a registration center or SOA service, and otherwise, the allowed operation is reported to an error alarm module. According to the invention, the SOA service client is placed in the application sandbox, so that the client is isolated from system resources, and the security and stability of the system are prevented from being damaged by malicious behaviors, vulnerability utilization and unauthorized service requests of the client.

The invention belongs to the field of software system docking, and particularly relates to a docking execution method sequence scheduling method and system, and the method is applied to an adaptation layer between a collection system and a third-party system, and is executed by an execution scheduling module in the adaptation layer. According to the method, a configuration analysis result defining an execution sequence is obtained, and the sequence comprises a step identifier, a function module, a sequence and a configuration parameter; determining a current to-be-executed step according to the sequence and the scheduling state and loading configuration parameters of the current to-be-executed step; calling is initiated to the interface adaptation module or the data conversion module based on the parameters to execute operation; receiving an execution result and recording a state; and judging according to the result and an abnormal rule, if an abnormal condition is met, adjusting the execution sequence of the remaining steps according to the rule, otherwise, scheduling the next to-be-executed step according to the sequence until the sequence is completed. According to the invention, the configuration and dynamic scheduling of the docking process are realized, and the flexibility and maintainability of the system are improved.

The application discloses a mini-program low-code page configuration system supporting module dragging, belongs to the technical field of low-code development and mini-program, and aims to solve the technical problems of poor dragging flexibility, insufficient module adaptability, weak cross-module linkage capability, code redundancy, high operation threshold of non-technical personnel and difficult multi-terminal adaptation of an existing mini-program low-code configuration system. The application builds a five-layer architecture of a "dragging interaction layer-module management layer-configuration analysis layer-code generation layer-preview debugging layer", designs an intelligent module dragging engine, a dynamic adaptive rendering mechanism, a cross-module linkage configuration module and an on-demand code optimization generation strategy, realizes visual module dragging configuration, custom attribute setting, real-time preview debugging and lightweight code generation of a mini-program page, integrates a multi-terminal adaptation module, and ensures that a configuration page is compatible with different WeChat mini-program terminals. The application has outstanding creativity, significant innovation and high practicability, and can be widely applied.

The invention discloses an automatic diagnosis and analysis system based on computer vision and multi-modal data fusion, and belongs to the technical field of abnormality diagnosis of an electric power measurement assembly line. The cloud comprises a fault library and a diagnosis library; the user side comprises a monitoring verification module, a monitoring module, a configuration module and a diagnosis module; the fault library is used for storing fault problems and fault performance characteristics; the diagnosis library is used for storing diagnosis schemes and diagnosis models; the monitoring verification module is used for carrying out scheme verification on the monitoring scheme to obtain a corresponding verification result, and carrying out corresponding processing according to the verification result; the configuration module is used for performing configuration analysis, acquiring a monitoring simulation model, and configuring a corresponding diagnosis scheme and a diagnosis model for the diagnosis module based on the diagnosis library and the monitoring simulation model; the monitoring module is used for monitoring the metrological verification assembly line in real time to obtain multi-modal data; and the diagnosis module is used for analyzing the multi-modal data to obtain corresponding fault diagnosis data.

The invention discloses a dynamic AppId polling acquisition method and system, and mainly relates to the technical field of cross-platform identity authentication management. Comprising the following steps: establishing a basic environment for reading initial AppId list configuration; initializing a safe data storage structure of the thread, and recording a polling position; the configuration monitoring mechanism is used for monitoring the AppId list change of the Nacos configuration center in real time; when the configuration change is monitored, triggering a configuration analysis process, and performing format processing and cleaning on the new AppId list configuration to generate a standardized AppId list; updating a locally stored AppId list based on the analyzed new list, and synchronously resetting a polling index to an initial position; and constructing an asynchronous processing mechanism based on the thread pool, asynchronously executing a polling acquisition process after receiving an AppId acquisition request, and returning a result through a callback mechanism after completing the polling acquisition process. The method has the beneficial effects that dynamic configuration, ordered polling, thread security access and real-time refreshing of AppId are realized.

The invention discloses a multi-screen adaptive block refresh display method and system. The system comprises a controller, a target SPI bus, a configuration analysis module and at least two display modules. At least two block buffer areas are arranged in the controller and are used for storing image block data to be displayed; the controller is configured to execute block refreshing operation: analyzing an external configuration file through the configuration analysis module to obtain a block height parameter, dividing a to-be-displayed image into a plurality of image blocks based on the block height parameter, and decoding the nth image block while decoding the nth image block, and transmitting image block data corresponding to the (n-1) th image block to a corresponding display module through the target SPI bus by DMA, wherein n is a positive integer greater than 1. Therefore, high-efficiency, low-cost and high-flexibility driving of the multiple display modules in a controller resource limited scene can be realized, and the requirements of applications such as wearable equipment and robot dog bionic eyes can be met.

The application discloses a large language model reasoning optimization method and device, electronic equipment and a storage medium, and is used for solving the problem that the huge parameter quantity in the prior art leads to large model reasoning demand for computing and storage resources and how to reduce the huge resources required during large model reasoning. The method comprises the following steps: acquiring configuration parameter data and computing resource data of a large language model during model reasoning in real time; performing static optimization analysis on the configuration parameter data and outputting configuration analysis results; performing automatic tuning of the configuration parameters based on reinforcement learning in combination with the configuration parameter data and the configuration analysis results to obtain optimal parameter configuration; performing dynamic optimization processing on the computing resource data based on an unloading strategy to obtain optimal resource configuration; and dynamically optimizing parameter configuration and resource allocation of the large language model during model reasoning according to the optimal parameter configuration and the optimal resource configuration.

The application discloses a kind of dynamic AppId polling acquisition method and system, mainly related to cross-platform identity authentication management technical field. Including: build basic environment for reading initial AppId list configuration;Initialize thread-safe data storage structure, record polling position;Configuration monitoring mechanism is used to monitor the AppId list change of Nacos configuration center in real time;When configuration change is monitored, trigger configuration analysis process, and the new AppId list configuration is processed and cleaned to generate standardized AppId list;Based on the new list after analysis, update the AppId list stored locally, and reset the polling index to the initial position simultaneously;Based on thread pool, build asynchronous processing mechanism, after receiving AppId acquisition request, asynchronously execute polling acquisition process, and return the result through callback mechanism after completion.The beneficial effects of the application are that it realizes the dynamic configuration of AppId, ordered polling, thread-safe access and real-time refresh.

The invention discloses a method for releasing a server program by one key, which realizes full-process automatic release through cooperation of six core modules: an interactive trigger module supports multi-end triggering of a Web interface, an API interface and a command line, provides lightweight operation only needing eight core configurations, and supports historical configuration multiplexing and network interrupt caching; the configuration analysis and verification module is used for presetting multiple types of application analysis rules, executing multi-level verification of a basic format, service logic and resource availability, and providing an automatic correction suggestion when verification fails; the environment adaptation and resource scheduling module remotely detects server hardware, software and network states, automatically adapts to scripts corresponding to an operating system and an application type, allocates resources through a weighted polling algorithm, and supports cross-regional network optimization; the real-time monitoring and feedback module collects logs and state indexes in a second level. The whole release process is free of manual intervention, the deployment time consumption is remarkably shortened, and the error rate is reduced to a low level.

The invention provides a helicopter complex configuration blade modeling method based on multi-body dynamics, and belongs to the field of helicopter blade modeling. Firstly, according to the configuration characteristics of the blade, the blade is divided into a plurality of sub-modules, and kinetic models of the sub-modules are mutually independent. Secondly, according to the motion and deformation characteristics of the sub-modules, a kinetic model of each sub-module is established; thirdly, according to the multi-body dynamics thought, displacement coordination boundary conditions between the submodules are introduced, a constraint equation is established, and the continuity of boundary node displacement is forced; fourthly, on the basis of the first-class Lagrange equation, combining the kinetic equations and constraint conditions of all the sub-modules, and assembling to form a modular assembly blade kinetic model. And finally, a generalized-alpha method is used for numerical discretization of the modular assembled blade kinetic model, and a Newton iteration method is used for solving a discretized linear equation set. According to the method, the modular multi-body dynamics thought is utilized, and the method is of great significance to helicopter blade structure design, configuration analysis and the like.

The invention relates to the field of intelligent allocation, and discloses a customer service allocation method and equipment based on a large language model, and a storage medium. The method comprises the following steps: receiving online question data; performing configuration analysis on the online question data to obtain a configuration path; when the configuration is manual configuration, carrying out seat allocation on the online question data to obtain an allocated seat number, and sending the allocated seat number to an address corresponding to the allocated seat number; when the configuration is intelligent configuration, performing knowledge retrieval on the online question data to obtain a retrieval result; when the retrieval result is not null, reply arrangement is conducted on the retrieval result according to a large language model, and a reply result is generated and transmitted to the question address; if yes, performing seat conversion on the online question data to obtain a converted seat number, and sending the converted seat number to the question address; and adding the question-answer data into the question-answer knowledge base to obtain a new question-answer knowledge base. In the embodiment of the invention, the accuracy of identifying the client intention and matching the professional customer service is improved by utilizing the large language model and the plug-in knowledge base.