53 results about "Configuration management database" patented technology

The invention relates to the technical field of telecommunication, in particular to a switch automatic configuration method and system and a medium. The method comprises the following steps: obtaining switch resource configuration data, and carrying out semantic enhancement topological graph modeling to obtain a network environment digital twinborn model; performing configuration instruction analysis based on the network environment digital twin model and a preset configuration management database to obtain an intention configuration semantic set; performing multi-manufacturer semantic mapping arrangement based on the configuration strategy path of the intention configuration semantic set to obtain a native configuration command set; performing identity path integrity auditing on each configuration command in the native configuration command set to obtain a signature command set passing verification; uploading the verified signature command set to a switch management platform to execute the command; and acquiring real-time behavior state data of the switch, and performing semantic deviation calculation to obtain a configuration result report. According to the invention, the effectiveness and adaptability of switch configuration can be improved.

The invention provides a root cause positioning method which can be applied to the technical field of artificial intelligence. The root cause positioning method comprises the following steps: acquiring data in a configuration management database, a network topology tool, a monitoring system and a work order system to form a multi-source heterogeneous data set; performing knowledge extraction on the multi-source heterogeneous data set, extracting equipment attributes, network topological relations, fault event entities and timestamps, and storing the equipment attributes, the network topological relations, the fault event entities and the timestamps as structured knowledge; mapping real-time index data in the structured knowledge into dynamic attributes of an entity, and constructing a dynamic knowledge graph; based on a graph neural network and in combination with time sequence features, learning a time sequence dependency relationship and a propagation path between fault events in the dynamic knowledge graph; and outputting a root cause entity, a confidence score and a fault propagation path of the fault event through a causal inference algorithm in combination with the multi-dimensional evidence. The invention further provides a root cause positioning device and equipment, a storage medium and a program product.

A system includes at least one processor and a computer readable memory. When executed by the at least one processor, the at least one processor is caused to scan one or more resources associated with a configuration management database (CMDB) and access metadata regarding an installed software application from the scanned one or more resources. The at least one processor is further caused to create a list of candidate resources from the scanned one or more resources based on a number of attributes used to identify the installed software application from the accessed metadata, select a candidate resource based on the number of attributes used to identify the installed software application, identify the installed software application based on the selected candidate resource and update a Software Application Index (SAI) library with the metadata from the candidate resource.

The invention discloses an automatic operation and maintenance system based on fusion of an AI agent and a configuration management database, and the system comprises a data collection module which is used for automatically collecting configuration information of IT infrastructures through a multi-mode collection technology; the configuration management database is used for converting the configuration information into configuration items and dependencies to construct a knowledge graph; the AI agent comprises a log analysis unit used for carrying out structured processing on the unstructured log data; the anomaly detection unit is used for carrying out anomaly detection on the structured log data and time sequence index data by adopting an unsupervised machine learning algorithm; the root cause positioning unit is used for performing topological relation reasoning on the detected abnormal events based on a knowledge graph, and determining a fault type and a root cause configuration item causing the fault; and the automatic executor is used for calling an automatic operation and maintenance tool to execute repair operation according to the fault type and the root cause configuration item. The operation and maintenance efficiency can be improved, and the fault repair time can be shortened.

The invention provides a cross-platform asset synchronization method and system for a configuration management database, and the method comprises the steps: monitoring the creation, reading, updating and deletion events of resources, and triggering an asset synchronization instruction according to the events; in response to a trigger instruction of asset synchronization, generating a corresponding multi-dimensional synchronization task according to a dynamically configured synchronization strategy and according to preset condition filtering, priority ranking and dependency in the synchronization strategy; queuing the multi-dimensional synchronization tasks according to a synchronization strategy and a time level, generating an asynchronous task queue according to a queuing sequence, and sequentially scheduling and executing each task in the asynchronous task queue; and according to the specific requirements of the task and the type of the target system, dynamically adapting to a supported protocol, and sending the task to the corresponding target system for execution. Through the four-layer architecture design of event-driven triggering, rule engine decision, task queue scheduling and resource gateway adaptation, a complete asset synchronous closed loop is formed, and asset synchronous management of the CMDB is realized.

A cloud-based private access system integrates static CMDB data with real-time access telemetry to automate Zero Trust segmentation. Administrators upload CMDB files (e.g., CSV / JSON) describing applications, FQDNs, IPs, ports, protocols, ownership, and priorities. An analytics management service stages and normalizes the data, retrieves reference domain data from an in-memory cache, and queries a telemetry engine to correlate intended configurations with observed usage. The system detects mismatches, over-permissive wildcard access, and auto-discovers non-listed elements such as subdomains, ports, or protocol combinations. It then generates prioritized recommendations to refine wildcard rules, create explicit allow policies, and merge or split application groups. Administrators review, simulate, and approve updates, enabling phased rollout, rollback, auditing, and continuous policy tuning based on evolving user and application behavior.

The invention relates to a synchronous configuration method and device for configuration management data, equipment and a storage medium. The method comprises the following steps: for each data center, performing synchronous configuration of configuration management data according to information of the configuration management data of the data center and information of the configuration management data of a configuration management database; the configuration management data comprises a model library and an asset library; and according to the configured model library and the configured asset library, performing mutual verification processing on the configured model library and the configured asset library to obtain a synchronously configured target model library and a synchronously configured target resource library. By adopting the method, the consistency of the data summarized to the data center infrastructure management platform by each data center can be standardized.

The invention discloses a mobile operation and maintenance intelligent system based on large model application, and the system comprises a positioning database which is used for obtaining the position information of equipment and operation and maintenance personnel in real time; the operation and maintenance personnel configuration management database is used for storing skill, performance and load data of operation and maintenance personnel; the equipment configuration management database is used for recording equipment states and maintaining historical data; the large model operation center module is used for converting customer voice into characters, performing semantic analysis and sending customer problems and demands; the order dispatching intelligent operation center module is used for calculating orders dispatched by the first n operation and maintenance personnel with higher scores based on an intelligent order dispatching calculation model according to the work orders, and starting an order grabbing mechanism; and the operation and maintenance personnel mobile terminal is used for acquiring operation and maintenance personnel positioning information in real time, updating the information to the positioning database and supporting operation and maintenance personnel order grabbing operation and work order state real-time updating. The whole-process intelligent management of the operation and maintenance work order is realized, and the customer service efficiency, the order sending accuracy and the equipment maintenance initiative are remarkably improved.

The invention provides an intelligent operation and maintenance knowledge base construction method, and relates to the technical field of data processing, and the method comprises the steps: 1, collecting original operation and maintenance data of a monitoring assembly, a log assembly and a configuration management database, and obtaining a multi-source heterogeneous real-time data stream; performing entity identification and relation extraction on the multi-source heterogeneous real-time data stream to obtain operation and maintenance entities and an association relation between the operation and maintenance entities; 2, according to the operation and maintenance entities and the incidence relation between the operation and maintenance entities, an operation and maintenance relation network is constructed, and in the operation and maintenance relation network, two operation and maintenance entities with the largest direct connection number are selected as reference nodes according to the direct connection number statistical result between all the nodes. According to the method, the multi-source operation and maintenance data are integrated, the operation and maintenance relation network is constructed, the fault features are weighted and optimized, the dynamic solution is generated in combination with the intelligent diagnosis model, operation and maintenance knowledge can be accumulated, and the fault processing precision and the intelligent level are improved.

A method for deploying a computing infrastructure (10) having an unpreconfigured server (11) and a switch (12) involves accessing instructions to open software components including a configuration management database (CMDB), a deployment module, a communication module, and a network operating gateway. The CMDB is initialized using information about the server and the switch, and the communication module manages the DHCP interface connection and allows communication between the CMDB and the deployment module. The method computes data used to initialize the CMDB, configures a DNS service, determines configurations for communications and switches, pre-configures a network stack, synchronizes a deployment module with the CMDB to enable a server discovery process, and activates a server that is not pre-configured.

The invention discloses an operation and maintenance method and device based on data query, electronic equipment and a program product, and is applied to the field of operation and maintenance and the field of financial science and tech. The method comprises the steps that under the condition that it is detected that a target object triggers a query instruction, a target view triggering the query instruction is determined; when the target view belongs to the topology view, querying an application relation chain of the first application in a configuration management database, displaying the application relation chain in the topology view, and determining a fault influence range according to the application relation chain, so that the target object adopts operation and maintenance operation based on the fault influence range; and when the target view belongs to the asset view, querying target application information of the second application, and displaying the target application information in the asset view, so that the target object adopts an operation and maintenance operation based on the target application information. Through the application, the problem that operation and maintenance efficiency is low due to the fact that operation and maintenance personnel need to repeatedly query application information when solving application faults on the basis of a traditional configuration management database in the prior art is solved.

The present application relates to the technical field of computer, and especially relates to a hybrid cloud architecture graph construction method and system, electronic equipment and storage medium. The method comprises the following steps: deploying a collection agent on at least one cloud platform of a hybrid cloud, or burying a point in a container image of an application system of the cloud platform, so as to obtain application container information when the application container is started; performing container self-discovery based on the container name in the application container information to obtain new container information; performing container asset life cycle management and asset data integration based on the new container information to obtain a container asset information table; and constructing an architecture graph of the application system based on the container asset information table and a dependency relationship in a configuration management database. The method can effectively improve the efficiency and accuracy of container self-discovery in the hybrid cloud, and can update the architecture graph in a timely manner, has high accuracy, and has strong application adaptive ability.

The invention provides a bank resource information processing method and device based on a configuration management database, and relates to the technical field of cloud computing. The method comprises: based on a macroscopic organization level of a target bank, to-be-managed cloud resources of the target bank are divided into a plurality of cloud resource pools, and the macroscopic organization level represents a high-level organization unit of the target bank. Afterwards, the resource information of the cloud resources in the cloud resource pool is abstracted into a standardized model, the standardized model is sent to the CMDB according to the hierarchical structure of the cloud resources in the cloud resource pool, and the standardized model is abstract representation of the resource information. And next, when a preset event occurs in the cloud resources in the cloud resource pool, real-time resource information of the cloud resources where the preset event occurs is acquired, and the real-time resource information is sent to the CMDB to update the CMDB. The CMDB can adapt to the cloud resources of the target bank, and can adapt to frequent dynamic changes of the cloud resources.

The invention discloses a BIM (Building Information Modeling)-based track signal equipment configuration management method, which comprises the following steps of: tracking a change state of a material by taking a component number and a serial number as a unique identification code of a hardware configuration item; according to the design file of the material, establishing a BIM model of the material in a BIM system; the BIM system uses a two-dimensional code tag as a carrier for configuration information management, and a unique two-dimensional code tag is set for each hardware configuration item; according to the design file of the material, based on the distributed serial number, exporting the two-dimensional code label of the assembly part from the BIM system, and recording the configuration information of the current-level material and the sub-level material; after the equipment is installed on site, registering or supplementing configuration information of the installed equipment in the BIM system; and during project execution, exporting the hardware configuration management database under the project through the BIM system, and cutting according to the requirements of each project. According to the invention, online real-time configuration management of the rail transit signal equipment in the stages of construction, operation and the like is realized.

The invention discloses a data correction method and device and electronic equipment, and relates to the field of financial science and technology, and the method comprises the steps: obtaining a first application interface document and a first access authority certificate of a configuration management database system; obtaining first configuration data through the first application interface document and the first access permission certificate; obtaining a second application interface document and a second access authority certificate of the unified configuration management system; obtaining a first authentication number through the second application interface document and the second access authority certificate; acquiring historical record data; and under the condition that the association relationship between the first configuration data and the first authentication data does not meet the target preset condition, correcting the first configuration data and the first authentication data based on the historical record data to obtain the corrected first configuration data and the corrected first authentication data. According to the invention, the technical problem of low accuracy of obtaining the equipment configuration data and the equipment authentication data in related technologies is solved.

The invention discloses an unauthorized business asset discovery method and system based on a multi-source log. The method comprises the following steps: determining a first network entity based on heterogeneous security logs of different data sources; when it is determined that the first network entity does not exist in the configuration management database CMDB, determining that the first network entity is a suspicious network entity; and when it is determined that the suspicious network entity appears in at least two independent data sources, the activity in a preset time window meets a preset persistence condition, and a service port exists, determining that the suspicious network entity is a persistent unauthorized service asset. Therefore, through multiple independent data source conditions, activity persistence conditions and service port conditions, suspicious target entities related to transient temporary connection are excluded, and persistent unauthorized business assets are accurately identified.

The application discloses a method and device for processing alarm information, an equipment and a computer readable medium, and relates to the technical field of cloud computing. A specific embodiment of the method comprises the following steps: receiving alarm information sent by an application monitoring system, screening out to-be-verified alarm information based on an access point identifier, a service identifier and an abnormal time of time consumption in the alarm information, and establishing a to-be-verified alarm information queue with the to-be-verified alarm information; in response to an alarm time period setting instruction, reviewing the to-be-verified alarm information according to an average processing time of the to-be-verified alarm information within a preset alarm time period in the alarm time period setting instruction, and screening out to-be-analyzed alarm information; obtaining online transaction information of an access point from a configuration management database according to an access point identifier in the to-be-analyzed alarm information, and processing a fault of the access point according to the online transaction information of the access point. The embodiment can process the fault of the access point in time, thereby guaranteeing normal operation of the system.

This invention relates to a method and system for improving the quality and efficiency of map element production, comprising the following steps: Step 1: Providing a configuration management database, which is used to manage and maintain a geographic entity document library. Existing paper or electronic map element production standard documents are disassembled, index rules are established, and stored in the configuration management database; Step 2: Establishing basic files for data production personnel, connecting to the personnel system database, and automatically matching the work experience of production personnel. This invention, through the interaction between data production personnel and the system, integrates rich map data production cases with traditional production standard documents, effectively improving the skill proficiency of production personnel. Furthermore, by combining big data analysis, it accurately targets production bottlenecks and problematic production personnel, forming bottleneck solutions and pushing them to relevant data production personnel, effectively improving the quality and production efficiency of map data products.

The invention relates to the technical field of configuration management databases, in particular to a service and IT resource associated configuration database system and a service desk request method. A configuration database system of a three-layer architecture is designed; a data layer adopts a unified configuration item library to store service configuration items, IT resource configuration items and association relationship data, and an association weight value and an effective time index are introduced; the association layer establishes a bidirectional association model through an association model engine, detects state change and updates the state change by using an automatic discovery module, and presents an association relationship by a topology visualization module; the application layer is provided with a business influence analysis module for calculating the influence degree, providing a priority basis for a service desk linkage module, and realizing rapid matching and scheme generation; through hierarchical design and module cooperation, deep fusion of business and IT resources and intelligent processing of service response are realized.

The application relates to computer technology and discloses a query method and system for a lightweight configuration management database (CMDB). The method maintains a plurality of model classifications and their configuration item information in the CMDB, and uses an identification group to record the mapping relationship between the external system name, the external system data identifier, the model classification, and the corresponding attribute field, to realize dynamic association and query of a plurality of external data sources. Specifically, after receiving data of a first external data source, the target configuration item in the CMDB can be quickly locked based on the identification group, and the second external data source is called for cross-system data retrieval accordingly, so that flexible linkage between the configuration item and the plurality of external data sources is realized without redundant storage of a large number of external fields. The method reduces the redundant information of the CMDB, improves the operation and maintenance efficiency and the data traceability, and is suitable for scenarios that need to manage a plurality of source data such as an alarm system and a log system.

The application discloses a kind of method, system, equipment and medium based on offline network environment to realize mobile service interaction, mainly related to mobile service technical field, to solve the problem that existing scheme has serious information security hidden danger, offline environment cannot be used, operation is complex and inefficient.It includes: reading encrypted file package, determining interaction type;Push type execution extracts the business file library that needs to be pushed from encrypted file package, uses ADB or FTP instruction to execute business file library push to mobile device;According to the configuration management database, configure mobile device service configuration parameter, otherwise execute the data path and file list that determine to pull from mobile device;Use ADB instruction or FTP instruction to pull service data from mobile device to plug-in local cache area;Local encryption processing and sensitive information desensitization are carried out to the data pulled, and final encrypted desensitization pull data is obtained;Generate encrypted data package and add digital signature, return to server.

This application provides a data processing method, apparatus, device, medium, and product for a configuration management database. It relates to the field of data processing technology. The method includes: acquiring multi-source heterogeneous data, including structured data, semi-structured data, and unstructured data, through a preset data access layer; extracting configuration items and their attribute information from the multi-source heterogeneous data, and constructing a configuration item list based on the configuration items and their attribute information; acquiring multi-source behavioral data, performance data, and business data; generating a dependency graph based on the multi-source behavioral data and the configuration item list using a preset inference model; and predicting various preset target faults based on the configuration item list, dependency graph, performance data, and business data, so as to perform corresponding maintenance operations based on the prediction results. This application uses artificial intelligence technology to drive CMDB upgrades, realizing intelligent fusion of multi-source data, dynamic relationship construction, and predictive maintenance, creating an intelligent decision-making center.

The embodiment of the invention relates to the technical field of IT operation and maintenance, and discloses a topological data verification method based on automatic inspection and process driving and related equipment. The method comprises the following steps: regularly inspecting whether uncollected point information exists in a configuration management database through an inspection script, checking the incidence relation between the points and the mutual access data corresponding to the edges in the topological data so as to check the topological data; if the point information which is not collected exists, generating a list to be confirmed according to a process-driven interaction mechanism, and adding points in the topological data after confirmation; if the components which are not associated are identified, process access information of the host and product information of the components in the continuous delivery platform are collected, and edges are added if target components associated with the components exist; if the mutual access data of the edge is not detected, deleting the edge; and displaying the verified topological data in a graphical manner. By means of the mode, it can be ensured that topological data are accurately and timely updated.

This invention relates to the field of database management, and more particularly to a method and apparatus for maintaining a configuration management database. The disclosed apparatus includes: an NLP model, a time series analysis model, a graph neural network, a database, and an interaction module. The NLP model extracts CI information from the data and generates standardized configuration items. The time series analysis model predicts resource usage trends or failure risks. The graph neural network establishes a CI relationship model to analyze dependencies and their impact range. The database stores user data, and the interaction module supports human-computer interaction between the user and the device. This invention extracts CI information from text using an NLP model and combines semantic understanding with a graph neural network to capture dependencies within the information, overcoming the limitation of traditional tools that can only handle structured data.

Systems and methods for Configuration Management Database (CMDB) based application segmentation include obtaining transactional data for a plurality of users of an enterprise, wherein the transactional data relates to usage of a plurality of applications by the plurality of users; obtaining Configuration Management Database (CMDB) data of the enterprise, wherein the CMDB data includes information about hardware and software assets of the enterprise; matching application information within the transactional data and the CMDB data; and generating one or more application segments based on the matching.

The invention relates to the technical field of big data, can be applied to the field of medical and financial equipment management, and discloses an operation and maintenance management method and device of wireless access equipment, equipment and a medium. The attribute information and the identifier of the device user are associated and stored in a configuration management database, and price information corresponding to the wireless access device is pre-configured in the configuration management database; acquiring usage information of the wireless access device of the device user and / or terminal information of a terminal of the wireless access device of the access device user according to a preset acquisition rule; and according to at least one of the usage information, the terminal information and the price information, automatically generating a standardized report of the device user according to a preset standardized report generation rule. According to the invention, integrated management of the operation and maintenance data and automatic report generation are realized, and the operation and maintenance management efficiency is improved.

To prevent quality defects from occurring in deliverables.SOLUTION: A compiler driver 21 includes a function of executing embedding processing to embed test information corresponding to child source code when performing compilation processing on post-change child source code in which a predetermined change has been made to pre-change parent source code obtained from a configuration management database 4 via a configuration management tool, a function of executing acquisition processing to acquire compilation information related to the compilation processing for the parent source code, and a function of executing comparison processing to compare the compilation information of the parent source code with the compilation information of the child source code. The compiler driver 21 executes the comparison processing when executing link processing, continues the execution of the link processing if there is no difference between the two pieces of compilation information, and determines whether or not to continue the execution of the link processing based on the test information if there is a difference between the two pieces of compilation information.SELECTED DRAWING: Figure 1

The application provides a kind of intelligent operation and maintenance knowledge base construction method, it is related to data processing technical field, the method includes: step 1, acquisition monitoring component, log component and the original operation and maintenance data of configuration management database, obtain the real-time data stream of multi-source heterogeneous;Entity recognition and relationship extraction are carried out to the real-time data stream of multi-source heterogeneous, obtain operation and maintenance entity and the association between operation and maintenance entities;Step 2, according to operation and maintenance entity and the association between operation and maintenance entities, construct operation and maintenance relationship network, in operation and maintenance relationship network, according to the direct connection quantity statistical result between each node, select the two operation and maintenance entities with the maximum direct connection quantity as reference node.The application can accumulate operation and maintenance knowledge, improve fault processing accuracy and intelligent level by integrating multi-source operation and maintenance data, constructing operation and maintenance relationship network and weighted optimization fault characteristics, combined with intelligent diagnosis model to generate dynamic solution.

This invention relates to a knowledge graph-based method and system for assessing the impact of operational changes. By integrating configuration management databases, call chain data, and network connection data, a directed hardware and software knowledge graph is constructed using a graph database. A depth-first search algorithm is used to query the impact path of changes, and a graph visualization engine is applied to generate the change knowledge graph. This provides reviewers and operations personnel with clear and accurate upstream and downstream association information of the change object. Frequent item analysis is performed on historical abnormal indicators, and tag propagation calculations are performed on the abnormal indicator graph to generate a community propagation subgraph. This allows for more scientific and intelligent aggregation and association of potential and scattered abnormal information, providing a rapid tool for locating faults caused by changes. This improves the scientific rigor and accuracy of change assessments, effectively mitigates change risks, and enables rapid fault location when they occur.

The invention discloses a root cause speculation method and device based on host state abnormity, equipment and a medium. Comprising the following steps: receiving an abnormal alarm notification of a target host system, and analyzing to obtain structured alarm data containing a host identifier and an alarm item; matching abnormal components in the relational database, generating a fault associated component list according to upstream and downstream components, and extracting a target host system architecture topological relation; calling a monitoring interface and a configuration management database system to collect real-time operation data of the list component, and generating semantic real-time state data in combination with a semantic mapping template; searching a preliminary historical case based on the alarm item, and generating case data sorted according to the matching degree in combination with user feedback; and performing multi-modal processing on the data, inputting the data into a large language reasoning model, outputting a root cause speculation result sorted according to probability, and displaying the root cause speculation result on a user interaction interface. According to the method, rapid and accurate root cause positioning of the abnormal state fault of the complex system host is realized, the operation and maintenance efficiency is improved, and the service loss is reduced.