392 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 provides a quantum processor parallel measurement and control system and method, which can be applied to the technical field of quantum computing. The quantum processor parallel measurement and control system comprises a web client, an algorithm client, a task management module, a line analyzer, a waveform calculation unit, a task scheduling unit, a configuration management module, a data management module, a data processing module, a line output module and a classic hardware module. Wherein the quantum processor parallel measurement and control system performs function design based on a templating method, is connected with a target database by using an advanced message queue protocol, and realizes data and information interaction of the quantum processor parallel measurement and control system based on a global cache mechanism. The classic hardware module comprises a control unit, a reading unit, a frequency mixing unit and a ZDC control unit.

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 provides an alarm method based on dynamic configuration management caused by business rules, which comprises the following steps of: establishing an urban governance alarm business knowledge base (including lexicon) and a business model according to multiple national standards, and realizing urban governance AI alarm decision management driven by a business rule engine. And application functions such as a business model, rule definition, a rule strategy and automatic rule adaptation are provided. The invention further provides the dynamic configuration management system based on the business rule and the storage medium, the alarm storm is eliminated, the alarm accuracy and reliability are improved, and false alarm and missing alarm are reduced.

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.

The invention provides a model-driven database encryption storage method, which comprises the following steps of: defining a configuration file, and specifying the name, the content format and the specification of the configuration file; creating a sensitive field configuration manager, and loading the configuration file through the sensitive field configuration manager to obtain a sensitive information model entity and an attribute field; creating encryption and decryption tools of the sensitive information, and encrypting and decrypting the sensitive information through the encryption and decryption tools; creating a data access layer interceptor, and intercepting an incoming parameter and an outgoing parameter of DAO data access through the data access layer interceptor; identifying sensitive attribute fields in the input parameter and the output parameter through a sensitive field configuration manager, and reading contents of the sensitive attribute fields through a reflection technology; and encrypting the sensitive field in the input parameter and decrypting the sensitive attribute field in the output parameter through an encryption and decryption tool, and writing back the content of the encrypted and decrypted sensitive attribute field through a reflection technology.

The invention relates to a water conservancy monitoring terminal access system and method based on a virtual gateway, and belongs to the technical field of Internet of Things. According to the system, virtual gateways and a service platform are designed in a split mode, the virtual gateways are independently deployed on the side, close to a water conservancy monitoring terminal, of the edge of a network, data transmission between the virtual gateways and the service platform is achieved through message middleware, and each virtual gateway is composed of a gateway definition part and a gateway instance part; each group of virtual gateways comprises one or more gateway instances, and each gateway instance comprises a virtual gateway server, a load balancer, a data receiving module, a configuration management module, a data processing module, an identity verification module and a data caching module. Through split type design, online data analysis logic synchronization and elastic expansion of the virtual gateway, an efficient, flexible and extensible solution is provided for access and management of the water conservancy monitoring terminal.

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 belongs to the field of on-satellite intelligent information processing, and discloses an FPGA loading, refreshing and on-orbit reconstruction method in an on-satellite real-time information processing system, and the system comprises a power supply unit, a measurement and control and configuration management unit, an interface unit, an image processing unit and a bus backboard. Aiming at an on-satellite real-time information processing system based on a dynamic redundancy architecture, a parallel architecture of configuring and managing an FPGA (Field Programmable Gate Array) to be matched with a Nor Flash, an NAND Flash, an SDRAM (Synchronous Dynamic Random Access Memory) and a plurality of SRAM type FPGAs is provided, so that the simultaneous loading and refreshing of the plurality of SRAM type FPGAs can be realized, the loading efficiency is improved, the on-orbit reconstruction time is shortened, the potential hidden danger of a sneak path possibly existing in the system is solved, the scale of the system is simplified, and the reliability of the system is improved. And the cost-effectiveness ratio of the system is improved.

The invention discloses a data center operation monitoring system and method based on an out-of-band technology and a medium, and the system comprises an out-of-band data collection module which is used for obtaining hardware state information, performance parameters and system logs of data center equipment through an out-of-band communication channel, and a data processing and analysis module which is connected with the out-of-band data collection module and is used for processing and analyzing the data center equipment. The system comprises a data processing and analyzing module for cleaning, converting and analyzing collected data, a monitoring alarm module for sending alarm information when a preset threshold value is exceeded according to an analysis result of the data processing and analyzing module, and a visual display module for displaying the analysis result to a user in a visual chart, graph and report form mode. And the configuration management module is used for configuring and managing various parameters of the monitoring system. Through innovative designs of out-of-band data acquisition, intelligent modules and the like, comprehensive data acquisition and accurate alarm and prediction are realized, the monitoring level of a data center is improved, the fault risk is reduced, the cost is saved, and stable and efficient operation is guaranteed.

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 data configuration release processing method, system and device and a medium, and the method specifically comprises the steps: configuring a development environment according to a configuration management system, setting an index configuration table in the development environment, generating a corresponding SQL statement according to the index configuration table, and sending the SQL statement to a server; the index configuration table is used for recording index information and dimension information required by each business report; establishing a change registration form, and writing a change record into the change registration form every time the configuration of the index configuration table is changed; performing automatic proofreading on the change configuration data submitted by different developers, identifying difference conflicts of the change configuration data, and forming a change proofreading table; and issuing the change configuration data to a pre-issuing environment for automatic testing, and issuing the change configuration data to a production environment after the automatic testing is passed. According to the method, the problem of configuration data management in multi-user collaborative development is effectively solved, and the efficiency and stability of report development and delivery are improved.

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.