304 results about "Configuration management" patented technology

The invention discloses a question answering method for graph-driven fusion retrieval in the field of computer networks, and relates to technologies such as intention recognition, multi-channel fusion retrieval, hierarchical semantic matching and answer traceable generation. Aiming at the problems of professional term matching, incomplete knowledge, single retrieval and low answer credibility of an existing question-answering system, a dual-channel fusion retrieval and hierarchical semantic matching mechanism based on a knowledge graph is provided, a retrieval strategy is dynamically controlled through intention recognition, accurate matching of structured knowledge is realized by adopting phrase preliminary screening and triple fine matching, and the accuracy of the structured knowledge is improved. In combination with graph subgraph dynamic construction and Prompt generation, a large language model is guided to output high-quality answers, traceable knowledge sources are attached, and the accuracy and credibility of the answers are improved. The method is widely applicable to computer network professional question and answer scenes such as network protocols, configuration management and troubleshooting.

The invention discloses an address mapping method in DPU local storage virtualization, which comprises the following steps: a virtual machine calls a system call interface provided by an address mapping configuration management module on a host side to perform mapping configuration of a virtual machine physical address and a host physical address, and issues the virtual machine physical address and length to a virtual address mapping module of a DPU; the virtual address mapping module manages global direct memory access address resources, firstly allocates a global direct memory access address on a host side, then maps a virtual machine physical address to the allocated global direct memory access address in a mapping page table of the DPU, and returns the virtual machine physical address to the address mapping configuration management module; and the address mapping configuration management module obtains the distributed global direct memory access address, and maps the distributed global direct memory access address to a host physical address in the IOMMU. According to the method, by optimizing address mapping, the efficient and flexible local storage virtualization service can be realized while the data reliability is ensured.

The invention provides an FPGA program loading and updating method and system, and relates to the technical field of FPGA configuration management. The FPGA program loading and updating method comprises the following steps: S1, based on an RS422 physical layer protocol, adopting a self-adaptive block verification algorithm, acquiring a signal-to-noise ratio parameter in real time through a channel quality monitoring module, dynamically adjusting the size of a data packet, and implementing a double-buffer alternate receiving mechanism; and verifying each data block by using cyclic redundancy check and serial number continuity detection, discarding abnormal data packets with bit error rates exceeding the limit, and generating a data block set passing verification. Through combination of an adaptive block check algorithm and channel quality dynamic monitoring, real-time optimization and adjustment of the size of a data packet in a transmission process are realized, transmission requirements in different channel environments are effectively adapted, the data retransmission probability is reduced, and through cooperative application of a double-buffer alternate receiving mechanism, cyclic redundancy check and a serial number tracking technology, the transmission efficiency is improved. And continuity and integrity of data receiving are ensured.

The invention discloses a static database self-adaptive fuzzification desensitization implementation method for highly sensitive data in the power industry. The method comprises the following steps: a data preprocessing module, a sensitivity analysis module, a fuzzification algorithm module, a self-adaptive mechanism module and an effect evaluation and verification module. Compared with the prior art, the method has the advantages that 1, self-adaptive dynamic adjustment is performed: a desensitization strategy is automatically optimized according to data characteristics and use scenes, and privacy protection indexes (such as k-anonymity values) are improved by 30%-50%; 2, multi-dimensional balance: the information loss rate is reduced by 10%-20%, the query accuracy is improved by 5%-10%, and safety and service requirements are considered; 3, system expansibility: a plug-in architecture supports dynamic loading of new algorithms and rules, and a configuration management module realizes strategy real-time adjustment; and 4, compliance guarantee: through a law and regulation rule base and a compliance check algorithm, the compliance is ensured to meet the standard.

The invention relates to the technical field of artificial intelligence, in particular to a visual large screen development method and system based on a multi-modal large model, and the method comprises the following steps: a demand analysis step, an intelligent generation step, a visual arrangement step, a configuration management step and an operation support step. The method has the beneficial effects that the system can synchronously analyze natural language instructions, business data parameters and visual reference examples through a multi-modal semantic alignment engine, and a design scheme with both function completeness and aesthetic consistency is generated. In scenes of smart city situation awareness, industrial equipment real-time monitoring and the like, a user only needs to input demand descriptions of'displaying energy consumption trends and abnormal point locations of all regions in recent half a year 'and the like, a complete large screen scheme including a thermodynamic map, a time sequence broken line graph and a 3D alarm mark can be automatically generated, and the development period is shortened by more than 70% compared with a traditional mode.

An information construction apparatus generates a prompt used to obtain a single or a plurality of element labels corresponding to configuration information and inputs the prompt into a generative model in a case where the configuration information extracted from input information of which authenticity is reserved is not included in configuration management information at least as a part of product management information. The information construction apparatus calculates reliability of an element label for each of a single or a plurality of the element labels extracted from output data of the generative model. The information construction apparatus adds a data set including the single or the plurality of element labels of which the reliability satisfies a condition and the extracted configuration information to the configuration management information as an authenticity data set.

The invention relates to the technical field of equipment configuration management, in particular to a visual equipment element configuration system which comprises an operation trend analysis module, a configuration parameter screening module, a parameter conflict detection module, a parameter dynamic adjustment module and a configuration result analysis module. According to the method, through dynamic analysis of the extraction state values of the operation parameters of the equipment elements, accurate identification and induction of the operation change trend of the equipment are realized, clear capture of dynamic change information is ensured, and through screening of the operation parameters in the target range and elimination of configuration combinations which do not accord with the range, the pertinence and accuracy of screening are improved, and the configuration coordination is enhanced; parameter conflict value grading and influence range analysis are combined, the conflict degree and influence thereof are clearly defined, a conflict value range and a logic relation are optimized, configuration flexibility and matching performance are improved, and it is ensured that an optimization result effectively adapts to actual requirements through logic consistency analysis, support degree evaluation and matching performance verification; and the configuration efficiency, the accuracy and the intelligent level are obviously improved.

The invention discloses a network security linkage response system based on distributed intrusion detection, which belongs to the technical field of network security, aims to improve the comprehensiveness of network threat detection and the timeliness of response, and comprises a distributed lightweight probe, an edge preprocessing and initial judgment module, a central depth analysis module, an intelligent linkage response module and a unified management visualization module. The distributed lightweight probe module collects network security data of each network node; the edge preprocessing and initial judgment module processes the network security data and reports the network security data after initial abnormal detection; the central deep analysis module fuses and associates the reported preprocessed data, and obtains a threat analysis result in combination with AI model analysis, external threat intelligence comparison and attack chain reduction; the intelligent linkage response module matches a preset strategy execution scheme based on the threat analysis result and feeds back an effect; and the unified management visualization module is responsible for configuration management, result display and alarm. According to the invention, accurate identification and rapid linkage response of network threats are realized, and the network security is effectively guaranteed.

The invention discloses a communication terminal and a low-power-consumption control method and system thereof, and the system comprises a terminal micro-control unit which is used for controlling the starting and stopping of a heartbeat function of the communication terminal, communicating with a father node, and judging the networking state of the father node; and the cloud control unit is used for acquiring data of the communication terminal and the father node, and dynamically adjusting the heartbeat interval time of the communication terminal according to the historical data of the communication terminal and the communication frequency of the communication terminal and the father node. According to the method, the power consumption of the communication terminal is reduced through multi-step combination, the invalid wake-up times of the communication terminal are remarkably reduced through the aspects of dynamic heartbeat interval adjustment, factory default heartbeat closing, intelligent configuration management, an exception handling mechanism and the like, and the cruising ability of equipment is prolonged.

The invention provides a self-adaptive texture atlas compression system and method based on a Unity engine, and relates to the field of graphic processing. The method comprises the steps that a texture resource import module converts PNG into a DYN file and generates configuration data, a texture resource setting module adopts a double-buffer configuration management mechanism, Hash value differences are detected through an improved CityHash algorithm, fields are changed asynchronously and synchronously, an image set construction module executes edge detection, polygon generation and rasterization processing, and a texture resource setting module performs texture resource setting. Pixel data is output by adopting an active side table algorithm, the arrangement unit realizes pixel data mutual exclusion arrangement based on multi-thread parallel calculation and outputs a UV coordinate mapping table, and an image set setting module dynamically modifies configuration parameters and triggers pipeline updating; geometric accuracy is ensured through verification of the number of vertexes and the texture area, expansion offset and step length parameters are dynamically adjusted to adapt to different resolutions, and an integrated breakpoint resume mechanism guarantees integrity of transaction logs.

The invention discloses a service-based killer chain analysis construction method, which belongs to the technical field of cooperative combat, and comprises the following steps: constructing a service resource pool, and setting a service discovery mechanism; on the basis of the fusion situation set, a situation switching event is recognized so as to perform local updating, and a three-level situation view is constructed; constructing a directed hyperedge, generating a directed hypergraph in combination with function category constraints, generating a dimensionality reduction state space based on multi-dimensional constraints, and generating an initial combat candidate set; configuring a management node, sending task invitation information to the initial combat candidate set in combination with the subtasks, generating a response scheme, performing adaptive screening, generating an initial killing chain, and performing failure verification; constructing a servitization twinborn body, deducing the initial killing chain, and executing delay at a calculation end so as to perform elimination recombination or delay optimization; a service combination template is constructed, an efficiency feedback mechanism is established, the superposition influence of frequent situation switching and state space catastrophe is cooperatively solved, and the real-time performance of generation of the killing chain is remarkably improved.

Embodiments of the present disclosure disclose method and system for deploying Distributed Radio Access Network (DRAN) Distributed Units (DUs) 102c in an Open RAN architecture 100 is disclosed. The method comprises receiving, a deployment status of a DU cluster from a cloud server 103; triggering a timing manager service instantiation on the DU cluster based on the deployment status of the DU cluster; determining a timing synchronization status of the timing manager service; deploying one or more DU Network Functions (NFs) 102c on the DU cluster based on the timing synchronization status of the timing manager service; and deploying a configuration manager service on the DU cluster for configuring the one or more DU NFs 102c.

The present invention discloses a quality control management system for project supervision, which relates to the technical field of project management, and includes a control management platform, wherein the control management platform is communicatively connected with a project information management module, a project progress management module, a project cost management module, a quality inspection and evaluation module, a project quality grading module, and a resource allocation management module, wherein the modules are electrically connected; the project information management module is used to clarify the quality control objectives of the project. The quality control management system for project supervision ensures that the project reaches the predetermined quality standards in each link by setting the quality grade standard and the evaluation process, and conducts a comprehensive and objective evaluation of the project quality through quality inspection and evaluation, quality evaluation coefficient calculation, and quality grade determination steps, thereby timely discovering and solving potential quality problems, so as to improve the reliability and safety of the project.

The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a generation system of an intelligent scoring model, and the generation system of the intelligent scoring model provided by the embodiment of the invention identifies and classifies the professional field of the intelligent scoring model by using a configuration management module, and manages and stores the configuration information of the intelligent scoring model. And calling the large language model by using a model generation module to generate original data about the intelligent scoring model, processing the original data by using a data processing module, outputting tree structure data with an association relationship, and finally obtaining the intelligent scoring model. The professional field and standardized intelligent scoring model can be quickly generated by using the large language model, time and labor are saved, and the accuracy of the intelligent scoring model in professional field knowledge is enhanced.

The invention discloses a configuration drift detection and consistency coordination method during operation of a Changsafety chain, and relates to the technical field of distributed system configuration management, the method comprises the following steps: deploying a main controller and a query-side double container in an Operator controller Pod, setting a client tool and a hierarchical cache in the query-side, and obtaining on-chain configuration by the main controller through a localhost interface; in the Recencile cycle, configuration drift is judged through standardization processing and hash comparison, and a change source is recognized in combination with self-defined resource metadata and chain side change metadata; coordination is executed according to four synchronization modes of CR forcing, chain observation, bandwidth period CR forcing and manual arbitration; according to the scheme, the problems of state fuzziness, error coverage and the like caused by dual fact sources are solved, low-delay detection and flexible coordination are achieved, and configuration consistency during running of the long safety chain is guaranteed.

The present disclosure is directed to systems and methods for data synchronization by an edge computing device. The method includes (1) receiving, by a feedback loop interface, a request for an update of a data set via a data-acquisition-and-computing (DAC) engine in an edge computing device, (2) transmitting, by the feedback loop interface, the request for the update of the data set to an actor node in a network; (3) receiving, by the feedback loop interface, an indication regarding the update of the data set from the actor node; and (4) transmitting, by the feedback loop interface, the indication regarding the update of the data set via the DAC engine in the recurring cycle. The DAC engine includes a synchronizer to control sequences in a recurring cycle of the network. The synchronizer communicates with a configuration manager or receives configuration information from network nodes for managing the data set.

The present invention provides an adaptive texture atlas compression system and method based on the Unity engine, which relates to the field of graphics processing. It includes a texture resource import module that converts PNG to DYN files and generates configuration data. The texture resource setting module adopts a double-buffer configuration management mechanism, detects hash value differences through an improved CityHash algorithm, and asynchronously synchronizes changed fields. The atlas construction module performs edge detection, polygon generation, and rasterization processing, and outputs pixel data using the active edge table algorithm. The layout unit realizes mutually exclusive layout of pixel data based on multi-threaded parallel computing and outputs a UV coordinate mapping table. The atlas setting module dynamically modifies configuration parameters and triggers pipeline updates. Geometric accuracy is ensured by verifying the number of vertices and texture area, and the expansion offset and step parameters are dynamically adjusted to adapt to different resolutions. An integrated breakpoint resumption mechanism is used to ensure the integrity of transaction logs.

The invention discloses a product configuration management and generation method and related device.The product configuration management and generation method comprises the steps that first intention information is acquired; the first intention information is used for indicating configuration management of the product; determining a first management object of the product, an attribute of the first management object and a value of the attribute of the first management object based on the first intention information; and generating configuration information of the product based on the first management object, the attribute of the first management object and the value of the attribute of the first management object. According to the embodiment of the invention, the configuration information of the product can be generated based on the first management object analyzed from the user intention, the attribute of the first management object and the value of the attribute of the first management object, high-difficulty domain knowledge does not need to be manually mastered, and the configuration information of the product is formulated through investigation, discussion and the like; and the generation efficiency of the configuration information is improved.

The invention discloses a ventilation cabinet parameter configuration management method based on big data, and relates to the technical field of big data processing, and the method comprises the following steps: collecting historical data of a ventilation cabinet; performing parameter analysis on the historical data; performing performance prediction on a parameter analysis result; performing configuration optimization on the prediction result; setting parameters according to an optimal configuration result; carrying out equipment calibration according to a parameter setting result; and performing system health assessment according to a calibration result. According to the method, by introducing multi-dimensional real-time data acquisition, a health assessment algorithm and a self-adaptive real-time feedback mechanism, the problems of feedback lag and inaccurate health assessment in the prior art are solved. And an intelligent algorithm is utilized to comprehensively analyze the operation state of the equipment, and adjustment is made in time, so that accurate prediction and optimal management of the performance of the equipment are realized. And through a data-driven feedback mechanism, the operation efficiency of the equipment is remarkably improved, and the safety and the stability of the equipment are ensured.

The present disclosure provides a solid state disk management method and apparatus, an electronic device, and a storage medium. The method comprises: stopping a read / write operation of a solid state disk on the basis of a received mode conversion instruction, the mode conversion instruction comprising a target mode; generating mode conversion information of the solid state disk, the mode conversion information comprising configuration management information of storage units of the solid state disk in a current mode; updating a driving program and a firmware program corresponding to the solid state disk into a driving program and a firmware program corresponding to the target mode; and on the basis of the mode conversion information and original storage data in the storage units, modifying a medium configuration corresponding to the storage units in the current mode into a medium configuration corresponding to the target mode. Embodiments of the present disclosure can solve the technical problems in the related art of relatively large data migration overhead and relatively low mode type conversion efficiency during mode conversion of a solid state disk.

The invention relates to the technical field of software configuration management, and discloses a monorepo-based multi-version control and management method, which comprises the following steps: receiving a version switching instruction containing a target global version identifier and an environment identifier; loading the physically isolated environment version configuration file from a preset path according to the environment identifier; a target configuration node corresponding to the target global version identifier is positioned in the configuration file, recursive branch information merging operation is executed based on inheritance attributes and branch attributes in the node, and a final branch configuration set containing all sub-module target states is generated; and traversing the final branch configuration set, and calling a version control tool to switch the working area state of each sub-module to the corresponding target sub-module version identifier. Through the environment isolation and increment inheritance model, the problems of version definition redundancy and environment confusion in a multi-module warehouse are solved, and accurate backtracking and atomization switching of sub-module states are achieved.

The invention provides a digital production management system and a method thereof. The digital production management system comprises a manufacturing operation management subsystem and a plurality of user mobile terminals, the manufacturing operation management subsystem comprises a plan management module which is used for managing production orders and delivery notices; the production management module is used for managing the work order and managing production data uploaded by the user mobile terminal in the production process; the production configuration management module is used for managing and configuring production basic data; the quality management module is used for setting and managing quality inspection standards, managing the quality process of the work order and managing quality data uploaded by the user mobile terminal in the production process; the warehouse management module is used for managing a delivery plan, a receiving notice and a return notice, and managing warehouse data uploaded by the user mobile terminal in the production process; and the user mobile terminal is used for inputting production data, quality data and warehouse data and feeding back the production data, the quality data and the warehouse data to the manufacturing operation management subsystem and / or the ERP system.

The invention discloses a new-generation convenient robot chassis secondary development system based on an ROS2.0 system, and relates to the technical field of robots. The new-generation convenient robot chassis secondary development system comprises a multi-mode self-sensing self-adaption universal hardware interface module, a multi-mode self-sensing self-adaption universal hardware interface module and a multi-mode self-sensing self-adaption universal hardware interface module, the hierarchical ROS2.0 software architecture module fused with the spatio-temporal semantics comprises a driving layer unit; a functional layer unit; the application layer unit comprises a micro-service architecture subunit based on a knowledge graph; a block chain technology application subunit; the context awareness and evolutionary intelligent scene adaptation configuration management module comprises a context awareness model unit; an evolutionary algorithm unit; the multi-sensor fusion fault diagnosis and redundancy switching module comprises a multi-sensor fusion diagnosis unit; a redundancy switching strategy unit; through the multi-module design, the hardware universality, the software intelligence, the scene adaptability and the system reliability are improved, and the system is suitable for multiple fields of industry, agriculture, medical treatment and the like.

The invention belongs to the related technical field of vehicle control and scheduling, and particularly relates to an unmanned vehicle scheduling system and method based on strategy driving, and the system employs a three-layer architecture, and comprises a framework layer which comprises a visual human-computer interaction interface, a scheduling service system and an automatic driving system, data management, work order management, scheduling task execution and unmanned vehicle state feedback functions are provided, and the layer is kept unchanged when a service scene is newly added; the strategy layer supports three elements of dynamic configuration and strategy management and provides a customized interface of scheduling rules and parameters, and the three elements of the strategy comprise a scheduling algorithm plug-in program, a parameter configuration page and a new work order page; and the scheduling layer is used for instantiating and operating scheduling logic, associating a specific strategy, calling the function of the framework layer and the scheduling capability defined by the strategy layer to command the unmanned vehicle to complete scheduling operation, and realizing business work order fulfillment. The system and the method have the advantages of rapid scene adaptation, high system compatibility, low development cost, flexible service configuration and the like.

The invention discloses an MRI (Magnetic Resonance Imaging) sequence generation system and method, and the system comprises a basic sequence generator module which is used for defining an abstract base class and packaging general logic in a sequence generation process; the independent development tool chain module is used for providing a development environment independent of a system framework and compiling a sequence generator source code into a binary module; the sequence registering and loading module is used for automatically discovering and loading the binary module and registering a sequence generator class inheriting the self-abstract base class through a reflection mechanism; the RESTful API interface module is used for receiving an external request and calling a corresponding sequence generator object according to a sequence type; the asynchronous task management module is used for managing life cycles and state tracking of asynchronous tasks; and the parameter configuration management module is used for centrally managing sequence parameter configuration. According to the system and the method, the development threshold is reduced, and the expansibility, the maintainability and the concurrent processing capability of the system are improved.

According to certain embodiments, a provisioning manager comprises an interface and processing circuitry. The interface is configured to obtain provisioning data from a provisioning database. The processing circuitry is configured to prepare one or more configuration files based on the provisioning data. The configuration file(s) indicate how to provision one or more service instances. The processing circuitry is further configured to commit the configuration file(s) to one or more repositories in order to make the configuration file(s) available to at least one of the service instances. The processing circuitry is further configured to send one or more notifications indicating to one or more of the service instances that the configuration file(s) have been committed to the one or more repositories.

The invention provides a car insurance intelligent quotation system based on multi-dimensional data analysis, and the system comprises the following modules: a front-end configuration management module which carries out the rule configuration at a business front-end configuration interface, and obtains an electronic form; the intelligent analysis module is used for extracting keywords in the electronic form by adopting OCR (Optical Character Recognition) and preprocessing data to obtain data I; and the scheme matching module takes the data I as the input of a transformer model, outputs a scheme with a high matching degree and predicts an insurance conversion rate corresponding to the scheme. Intelligent quotation is performed by fusing multi-source heterogeneous data, a dynamic configuration rule engine and a machine learning algorithm, a vehicle-user-driver protection three-dimensional data association model is constructed, an end-to-end intelligent quotation system from data acquisition, demand analysis to scheme recommendation is realized, and quotation accuracy and customer conversion efficiency are remarkably improved.

The invention relates to the technical field of intelligent disk monitoring, in particular to an intelligent auxiliary disk monitoring system and method. The control module comprises a data processing module, a monitoring alarm module connected with the data processing module, a working condition analysis module connected with the data processing module, an evaluation decision module simultaneously connected with the monitoring alarm module and the working condition analysis module, an interaction module connected with the working condition analysis module, and a communication notification module connected with the interaction module; and the configuration management module is connected with the monitoring alarm module, the working condition analysis module and the evaluation decision-making module at the same time. The system has the advantages that through integrated monitoring and data analysis, the informatization level of power plant operation is remarkably improved, operation guidance is optimized, cost is reduced, economical efficiency is enhanced, the advanced clustering analysis and mode recognition technology is adopted, real-time monitoring and intelligent early warning of the equipment state and the operation working condition are achieved, and the system is suitable for popularization and application. And the maintenance level and the operation reliability of the equipment are improved.

The invention provides an unmanned aerial vehicle credible digital identity recognition method and system, and the method comprises the steps: integrating an unmanned aerial vehicle digital identity recognition module on an unmanned aerial vehicle, and verifying whether the binding relation with an unmanned aerial vehicle flight control system is changed or not when the unmanned aerial vehicle is powered on each time; after verification of the binding relation is completed, the unmanned aerial vehicle digital identity recognition module accesses the trusted digital identity management platform to perform bidirectional authentication; in the real-name registration stage, the platform associates the unmanned aerial vehicle basic information with the real-name registration code to generate an unmanned aerial vehicle digital identity certificate, and creates a configuration management task; after the bidirectional authentication is passed, the configuration management task is acquired from the platform, and a certificate is installed in an unmanned aerial vehicle digital identity recognition module; and the unmanned aerial vehicle digital identity recognition module uploads the certificate to the platform, and collects, stores and reports the flight path information of the unmanned aerial vehicle to the platform in real time through networking. The invention aims to solve the problems of traffic management and safety management and control of aerial and ground unmanned systems including unmanned equipment, humanoid robots and the like.

The invention relates to the technical field of intelligent building integrated management, in particular to an intelligent building integrated management system and method. A data acquisition layer, an edge computing layer, a cloud platform layer and an application layer are integrated through a unified architecture, and compatibility of different sensor data formats and communication protocols is realized by using a protocol conversion unit; a hierarchical decision-making mechanism is adopted, an edge computing layer processes a time delay sensitive task, a cloud platform layer executes resource intensive optimization computing, and data transmission delay and bandwidth occupation are remarkably reduced; introducing a decision engine unit which realizes adaptive learning and dynamic strategy generation based on a depth deterministic strategy gradient algorithm; the BIM data and the real-time sensor data are fused through a digital twin model unit, a building 3D visual model is constructed, and a prediction-based dynamic energy management strategy is generated in combination with an algorithm; and finally, the application layer provides a visual configuration interface unit and an emergency linkage unit, and supports a user to configure a management strategy individually.