471 results about "Version management" patented technology

The invention relates to the technical field of data processing, in particular to an intelligent document updating processing method and system.The intelligent document updating processing method comprises the steps that part parameters and coding rules are extracted from engineering design file metadata, a part list and a PDM and PLM system, the semantic association relation between parts is analyzed through a knowledge graph, and the mapping relation between logic identifiers and physical files is constructed; generating an initial version file library; and monitoring file names and version changes in real time based on a micro-service architecture, calling a simulation service in combination with a knowledge graph to verify parameter compatibility, screening an optimal version, updating the optimal version to a main version library, optimizing historical conflict data in a block chain evidence storage index by using a genetic algorithm to generate a standardized code, and outputting a cross-platform parameter mapping table. According to the method, the problems of file name change, non-standard coding conflict, version control missing and cross-platform adaptation incoherence are solved, and the data tracing efficiency, the version management reliability and the system compatibility are improved.

The invention discloses a channel model dynamic association method based on a multi-source data index, and relates to channel engineering digital management. The channel model dynamic association method comprises the steps that component codes of channel engineering are constructed and used for identifying the same physical entity; establishing a three-layer index table structure according to the component codes; constructing a dynamic partition management mechanism of a three-level cache architecture, wherein the three-level cache architecture comprises a first-level cache stored in a memory, a second-level cache stored in a local disk and a third-level cache stored in a distributed manner; according to data access information in the three-layer index table structure, data migration is carried out among all levels of caches; according to the dynamic partition management mechanism, a data version management mechanism based on a timestamp concurrency control protocol is established, the data version management mechanism generates incremental data by comparing original data with updated data, and incremental updating or full updating is selected according to a threshold value. According to the method, the problem that data evolution tracking is difficult due to fragmentation of multi-source heterogeneous data and unbalanced access efficiency in navigation channel engineering is solved.

The invention provides a non-technician-oriented script intelligent adaptation and visual arrangement method and a non-technician-oriented script intelligent adaptation and visual arrangement system. The method comprises the following steps: acquiring a script file uploaded by a user, extracting a dependency library through an AST analysis technology, and constructing an isolation container environment; performing intelligent identification and conversion on a file path and database connection in the script to generate a standardized API call; carrying out input and output analysis on the basis of the converted script, and carrying out DAG workflow arrangement in a visual mode; performing function-level packaging and standardization processing on the script component in the workflow to realize component multiplexing and version management; and finally, configuring a scheduling strategy and carrying out automatic operation monitoring. According to the method, a script environment depends on automatic processing and intelligent path adaptation, and visual arrangement and modular multiplexing are combined, so that non-technical personnel can independently complete the whole process from AI script generation to a production-level automatic process, the problem of'last kilometer 'in script deployment is solved, and the working efficiency is improved.

The invention relates to the technical field of base frame operation and maintenance, can be applied to business scenes such as financial science and technology and medical health, and discloses a context object-driven patch processing method, device, equipment and medium, and the method comprises the steps: extracting an equipment attribute identifier, an operation state identifier and a routing path identifier from an operation environment of target equipment to generate a context object, creating a patch definition, verifying the patch definition in a security sandbox, submitting and approving the patch definition to form a patch version identifier, configuring an environment isolation condition in combination with an effective range, issuing a patch execution instruction carrying the patch version identifier, the environment isolation condition and a hook definition, triggering patch script application repair logic, and calling a cache cleaning tool to process a resource cache. And collecting logs and indexes to generate a monitoring record, and executing rollback or off-shelf operation based on the monitoring record to finish the patch task. Through combination of dynamic patch definition, instruction issuing and version management, safe distribution of front-end patches is realized, and the stability and maintainability of the system are improved.

The invention discloses an online resource text and image layout system based on natural language processing, and belongs to the technical field of natural language processing. An image semantic understanding module; a layout generation and optimization module; an interactive adjustment module; a multi-modal content fusion module; the aesthetic evaluation and compliance verification module is used for automatically evaluating the aesthetic degree and compliance of the generated layout; and the dynamic response type adaptation module is used for adjusting the layout in real time according to the sizes of terminal equipment and a screen, ensuring the cross-platform consistency, generating a multi-resolution layout scheme based on a Flexbox response type rule, and dynamically adjusting the element stacking sequence, the personalized recommendation module and the real-time cooperation and version management module through reinforcement learning. And the edge calculation module improves the efficiency of large-scale layout generation, supports an offline or low-delay scene, compresses a CNN model by using a knowledge distillation or quantification technology, and adapts to edge equipment. The invention also discloses a method.

The invention provides a production line scheduling method and equipment fusing edge computing and machine learning, and belongs to the technical field of production line scheduling, and the method comprises the steps: deploying edge nodes in an industrial production line, and carrying out the life cycle management and control of state monitoring, task issuing, resource configuration and version management on the edge nodes by a cloud; the edge nodes collect production line data in real time; constructing a scheduling model at the cloud, and issuing the scheduling model to the edge node; outputting execution task priority judgment and path and resource optimization in combination with the scheduling model, generating a scheduling instruction, and issuing the scheduling instruction to a field control system to execute task scheduling; recording all scheduling processes and state changes, and synchronizing to the cloud after the network is recovered; according to the invention, the analysis rule and the model parameters can be adjusted according to the actual working condition and the monitoring scene of the equipment, accurate description and abnormal early warning of the operation state of the equipment are realized, and the efficiency, the accuracy and the adaptability of equipment monitoring in the industrial Internet of Things environment are effectively improved.

The invention relates to the field of databases, and discloses an archive-based data management method and system, which can complete aggregation management of most business data in a single archive, reduce high relational operation overhead caused by multi-table association, and significantly improve flexibility, security and consistency of data management. According to the method, firstly, multiple objects are abstracted from a business scene or a real concept, a main object is selected, other objects related to the main object are aggregated in the same archive model, and the archive model comprises attributes for structured, sequential, log and unstructured data references or pointers. The file model is described through predefined metadata, and a logic structure, integrity constraint, a physical storage position, a storage period, a file model validity period, file attributes, and multi-version management, transaction control and authority control strategies oriented to addition, modification, deletion and check operations are set in the metadata.

The invention discloses a knowledge graph generation method based on multi-source data integration, and relates to the technical field of knowledge graph generation. The method comprises the following steps: collecting multi-format data, and performing cleaning, standardization and desensitization preprocessing to ensure that the data is integrated; using the fusion model to extract entities and relationships, and adapting to multi-source data types; similarity is calculated in combination with multi-dimensional features, and entity alignment disambiguation is achieved; carrying out weighted fusion on multi-source knowledge to construct a triple, and processing relation conflicts; evaluating the quality of the atlas through multiple indexes; triggering conditions are set, incremental updating and version management are adopted, and dynamic iteration of the atlas is guaranteed. According to the method, the multi-source data preprocessing quality is improved, the entity recognition and alignment precision is enhanced, relation conflicts are solved, and a high-quality time sequence knowledge graph is constructed; incremental updating is efficient and energy-saving, version management is traceable, and multi-field dynamic application requirements are met.

The invention discloses a Web application firewall security defense method and system, and belongs to the technical field of network security, and the method specifically comprises the steps: collecting and preprocessing network flow data in real time, constructing standardized data input, and training a multi-modal deep neural network attack detection model to recognize attack behaviors in a network; in the real-time detection process, the model outputs an attack type and a probability, and when an attack is detected, the firewall automatically generates an attack behavior graph, triggers a multi-level depth defense mechanism and feeds back a result to the model management module; and the model management module updates model parameters in real time through online learning, realizes version management, and performs model optimization in combination with a rapid rollback mode, thereby improving the network security protection capability.

The invention provides an application environment and version management method and system suitable for a low-code platform, and relates to the technical field of platform management.The application environment and version management method comprises the steps that a directed dependency graph is constructed by obtaining change records, and a dependency loop is detected and intelligently decomposed through a depth-first traversal algorithm; and packaging the node clusters into micro-services based on a function relevancy model to form an acyclic directed dependency graph, constructing a version backtracking index and a difference analysis matrix to determine a change influence range, executing incremental deployment according to a topological sequence, and recording deployment information. According to the method, the problem of version management and environment dependence in a low-code platform is solved, and the application deployment efficiency and the system stability are improved.

The invention discloses an industry knowledge graph automatic construction method oriented to multi-source heterogeneous data, and relates to the technical field of knowledge engineering. Structured, semi-structured, unstructured and distributed data are supported, and high-concurrency data are cached through Kafka; preprocessing and standardizing, and executing cleaning, field unification, text conversion and format conversion; a pre-training model and a rule engine are adopted to cover entities and relations of multiple industries; designing a dynamic Schema, storing the dynamic Schema in a graph database, and constructing an index; evaluating and correcting from multiple dimensions; and dynamic updating and maintenance, incremental updating based on data change, and support of version management and knowledge service. According to the method, the knowledge graph is automatically constructed through multi-source heterogeneous data, the construction efficiency and quality are improved, cross-domain fusion is supported, dynamic updating is adapted, and multi-industry intelligent application is assisted.

The invention relates to the technical field of computers, in particular to a dynamic configuration initialization and version synchronization method and system for multi-agent service, and the method comprises the following steps: obtaining a database update lock, constructing a database migration script dependency relationship, determining a current version of a database mode, upgrading and deploying the database mode, and verifying agent versions. The method has the beneficial effects that a rigorous database updating lock control mechanism, perfect migration script dependency chain verification, agent version management, port availability detection, idempotence and transaction safeguard measures are introduced, so that the processes of database structure upgrading and agent version initialization in a distributed deployment environment can be effectively supported; and the data consistency, the operation stability and the service continuity of the system are ensured.

The invention discloses a large language model knowledge base self-adaptive updating method combining documents and interactive feedback, and relates to the technical field of knowledge base updating, and the method comprises the steps that a real-time change detection module monitors streaming documents and interactive feedback, and captures and marks a single fact change event; the decision module calculates a shunting decision coefficient according to the heat density index and the linkage sweep index, and the event is shunted to a Micro-Edit or Incremental-Tune path; if shunting to the Micro-Edit path, the positioning module executes attention backtracking and gradient sensitivity analysis, and determines a to-be-updated weight address; the rank-one editing module implements rank-one updating and records an audit log; the verification module generates an online token or a rollback instruction through consistency comparison; the version management module manages a version, activates a new version route and cleans out expired branches. Through event granularity identification, intelligent shunting, local updating and multi-version management, the timeliness of knowledge base updating is remarkably improved, and resource consumption and maintenance cost are reduced.

The invention discloses a large model cue word intelligent design and verification system supporting multi-person cooperation, which designs cue words in a manner of cue word project management and multi-person cooperation to realize specialized design of the cue words. The difficulty of cue word design is simplified by using AI aided design; the operation stability and accuracy of cue words in different models and different computing power are verified through single-point testing and batch testing, so that cue word verification and iteration form a closed loop, and the cue word quality is improved; after the cue word is published, directly outputting an interface with an access key for external calling, and storing the interface as a cue word case into a cue word knowledge base; compared with an existing system and technology, the cue word version management difficulty is effectively reduced, the workload of cue word designers is reduced, the cue word quality is improved, and the risk of cue word asset loss is reduced.

The invention provides a persistent Flink job file loading and displaying method and system, and relates to the technical field of file loading and displaying, and the method comprises the following steps: obtaining a file identifier, a version mark and metadata, and executing fragmentation storage; constructing a biological intelligent inspired block chain consensus mechanism, and identifying abnormal operation through the immune memory cells; deploying a block chain node network to generate a dynamic encryption key and establish a secure communication channel; performing identity authentication and authority verification, and triggering an immune response mechanism to isolate suspicious nodes; the update operation is validated using the file fingerprints and the trust scoring model. According to the method, the safety and the reliability of the Flink job file are improved, and efficient and dynamic file version management is realized.

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

The invention provides a medical knowledge graph dynamic construction method, system and device based on a large model and a medium, and belongs to the technical field of medical informationization. The method comprises the steps that multi-source heterogeneous medical data is collected, and data cleaning, anonymization privacy processing and encryption security processing are carried out; performing medical entity identification and relation reasoning between medical entities on the processed medical data through a multi-modal large model, establishing a knowledge triple, and performing multi-modal feature alignment; performing IPFS fragmentation storage on the aligned knowledge triads, calculating hash values of the knowledge triads, performing chaining storage on the hash values by using a block chain, and performing dynamic verification and version management on the knowledge triads through hierarchical consensus and an intelligent contract; and establishing a semantic retrieval interface for the knowledge triad by using an SPARQL query tool to complete the construction of the medical knowledge graph. According to the method, efficient construction, dynamic updating and credible verification of the medical knowledge graph are realized, and the construction efficiency and safety of the knowledge graph are improved.

The invention discloses a government affair knowledge graph updating and version control method and system, and belongs to the technical field of artificial intelligence and knowledge graphs, Git-based file change drives incremental updating of knowledge graphs, and the method is implemented by the following steps: change monitoring: integrating Git version management; capturing file change through double modes of timing scanning and event triggering, establishing one-to-one mapping between a file Git version and a map version, and transmitting difference contents; difference preprocessing: standardizing difference contents into an analysis unit containing positions, types, original contents and updated contents, and filtering meaningless differences through a G-NF algorithm; constructing a difference subgraph; carrying out difference atlas fusion; and version control: storing version archives, and providing a multi-dimensional query tracing function. According to the method, version closed-loop management is achieved, change traceability is accurate and efficient, incremental atlas updating is achieved, total processing resource consumption is reduced, meanwhile, multi-scene version switching is supported, and repeated construction and maintenance cost is reduced.

An industrial development hub (IDH) supports industrial development and testing capabilities that are offered as a cloud-based service. The IDH comprises an enhanced storage platform and associated design tools that serve as a repository on which customers can store control project code, device configurations, and other digital aspects of an industrial automation project. The IDH system can facilitate discovery and management of digital content associated with control systems, and can be used for system backup and restore, code conversion, and version management. The IDH also supports simulation-based design and testing tools.

The invention discloses an activity rule management system for improving output efficiency. The system is composed of an intelligent rule generation module, a dynamic rule adjustment module, a rule conflict detection module, a task parallel processing module, a user behavior prediction module, a visual rule editor, a rule execution efficiency evaluation module, a rule version management module, a cross-platform compatibility module and an integrated AI assistant module. The method is used for integrating AI assistants to provide real-time rule consultation and optimization suggestions for users, and the AI assistants can also automatically optimize rules according to activity data and user feedback.

The invention discloses a file metadata multi-version storage management method and device, computer equipment and a storage medium. The method comprises the steps of obtaining file metadata; in response to the received generation instruction, generating a snapshot version for the file metadata to obtain a snapshot version set; extracting a first snapshot version and a second snapshot version from the snapshot version set, updating the snapshot version set, and storing the snapshot version set in a memory area; packaging the file metadata, the first snapshot version and the second snapshot version to obtain a coded data structure, and storing the coded data structure in a memory area; storing the updated snapshot version set and the coded data structure in a storage device; querying the memory area according to the query instruction, querying the storage device if the query fails, and returning a query result; by means of the method, decoupling storage of multiple versions of file metadata can be achieved, and the system memory utilization rate and the snapshot version management efficiency can be improved.

The invention discloses a system and a method for supporting multi-version concurrency control in a column storage database, belongs to the technical field of databases, and aims to solve the technical problem of how to provide efficient and flexible concurrency control and data operation management. Comprising a multi-version management module for creating a transaction ID and a timestamp for each transaction and maintaining a version linked list for each data segment in a column storage database; the operation optimization module is used for performing data operation on the data in the column storage database based on the submitted transaction, performing operation according to a comparison result of a version number and a transaction timestamp when the data operation is executed, and storing the data before modification into a revocation buffer area; the transaction conflict processing module is used for detecting and processing transaction conflicts based on a preset conflict processing rule; the storage space management module divides the storage of the column storage database into table storage and local storage; and the version linked list management module is used for deleting the version information which is no longer referenced by any active transaction based on the transaction state and the version information.

The invention belongs to the technical field of computer server management, and particularly discloses a laboratory collaborative environment-oriented user and data full-life-cycle server management system, which comprises a container virtualization layer, a server management layer and a server management layer, dynamic resource allocation is supported through a state saving-resource reallocation-environment recovery mechanism; the heterogeneous transaction coordination layer adopts a Saga transaction mode to coordinate a heterogeneous system so as to realize cross-system transaction consistency; the data collaboration ecological layer establishes typed management of a personal data volume, a shared software environment volume and a public data set volume, and supports software environment encapsulation sharing and versioning management; and the metadata management layer realizes real-time update and high-performance query of metadata based on a Redis hot update architecture. According to the method, the problems of inflexible resource allocation, incomplete environment isolation, dilemma in authority management and difficulty in data collaboration and recovery in the prior art are solved.

This invention discloses a full lifecycle management system and method for scientific computing programs. The system includes a build environment subsystem and a production environment subsystem. The former provides computer resources for the build process of the scientific computing program throughout its lifecycle, while the latter provides computer resources for the testing and deployment processes. This invention, through a full lifecycle management method for scientific computing programs, operates on corresponding computing resources, encompassing a series of steps including querying, triggering scheduling, build execution, result distribution, and test deployment. It automatically generates the executable file of the scientific computing program and configures its runtime dependencies. Simultaneously, it automatically generates a corresponding description file recording the entire lifecycle process. Furthermore, based on version management of these description files and their sets, it achieves full lifecycle traceability and cross-platform migration and deployment of scientific computing programs in a high-performance computing environment.

The invention belongs to the technical field of large model fine tuning, and particularly discloses a large model fine tuning parameter version chain management method and system, a terminal and a medium. Comprising the following steps: in the fine tuning process of a large model, performing difference calculation on model parameters after two adjacent times of fine tuning to obtain corresponding parameter increments; packaging the parameter increment, the time information, the model identifier and the fine tuning metadata into log entries; establishing a time index based on the time information of the log entries, establishing a model index based on the model identifier, and associating the log entries according to a time sequence to form a parameter version chain; when a model parameter recovery request is received, retrieving a log interval before a target time point according to the time index, loading and accumulating each parameter increment, reconstructing a model parameter state corresponding to the target time point, generating a parameter snapshot in a memory, and caching the parameter snapshot; according to the method, multi-version management and quick rollback can be realized under the condition that a full-quantity model is not stored, the storage occupation is reduced, and the parameter recovery efficiency and the system stability are improved.

The invention relates to a database Schema version management method and device, computer equipment and a storage medium. The method comprises the following steps: responding to received target Schema tree structures sent by each user terminal, generating a combined target Schema tree structure according to each target Schema tree structure, and performing format conversion on the combined target Schema tree structure to obtain a modified Schema file; performing tree node traversal comparison according to the combined target Schema tree structure and the to-be-modified Schema tree structure to obtain corresponding distinguishing tree nodes; the distinguishing tree nodes are tree nodes on the combined target Schema tree structure which are different from the Schema tree structure to be modified; and determining a version modification type of the modified Schema file according to each distinguishing tree node, generating a semantic version identity identification number of the modified Schema file according to the version modification type, and storing the modified Schema file into a database according to the semantic version identity identification number. By adopting the method, the efficiency can be improved and version management chaos can be avoided.

The invention belongs to the technical field of product production cycle management, and particularly relates to an electronic image-text file remote multi-bin collaborative storage method based on a PLM. Comprising the steps that a 1 + N hybrid storage architecture is constructed, one center bin is deployed in an enterprise headquarter data center and stores full document metadata and latest version files, and N area bins are deployed according to geographic areas and store cache copies and incremental update data of local high-frequency access documents; the remote multi-warehouse document increment synchronization is realized through an intelligent synchronization engine, and the intelligent synchronization engine adopts a content awareness increment synchronization algorithm and a dynamic synchronization strategy based on network quality; version management is realized through a version cooperative control module, and the version cooperative control module is used for establishing a global version number mapping mechanism and a conflict resolution decision tree; cross-warehouse process automation is realized through a cross-warehouse workflow engine, and the cross-warehouse workflow engine integrates a BPM process engine and a message queue; the method can adapt to a remote network environment, and the large file synchronization efficiency is improved.

The invention discloses an architecture system and method for large-scale task allocation, and belongs to the field of spaceflight measurement and control, and the system comprises a large-scale hardware device which is used for deploying processing units with different performances and various heterogeneous physical communication link resources; the hardware resource dynamic modeling and visualization framework is used for realizing a dynamic modeling system based on multi-source heterogeneous hardware topology perception; the resource topology awareness database captures and synchronizes system deployment changes by maintaining the dynamic topological relation of hardware resources, presents the life cycle state of the hardware resources, and supports system-level resource situation visualization and decision making; a versioning management engine of component arrangement is applied, a multi-version executable unit is packaged based on an atomization component, and an application instance is completed through a combined modeling component; and deploying a scheduling decision system for deploying a scheduling decision. The method can adapt to task deployment requirements of a current large-scale spaceflight measurement and control system.

The invention provides a heterogeneous data mapping optimization method, and relates to the technical field of software development. A JSON Schema model library containing business and voucher objects is constructed by obtaining heterogeneous source data, the construction process comprises data format analysis and feature extraction, and construction and classified storage are completed by means of DSL rules and visual editing; based on the model library, generating a mapping relation description document by utilizing a preset abstract mapping rule template and an expanded JSON Schema grammar; a mapping engine analyzes the document to construct a field-level dependency graph, data conversion is executed according to the field-level dependency graph, and an inerting execution and caching mechanism is adopted in the conversion process; and verifying the converted data and the mapping process by adopting a mode of combining static pre-verification and incremental verification, dynamically adjusting a mapping rule according to a verification result or model change, and performing version management. Through the steps, the data mapping efficiency, flexibility and accuracy are improved, and the system performance is optimized.

The invention provides an automatic management interaction method, system and device of a whole vehicle software version and a medium, and relates to the technical field of vehicle software engineering.According to the method, functions of version monitoring, change analysis, test management and version management are provided through an integrated main interface, and a user can check the software version state and tasks to be done in real time; and performing multi-dimensional version comparison and risk assessment to generate a detailed change and risk report. In addition, the method supports configuration of a test strategy, execution of an automatic test and generation of a test report and a defect positioning list, and the test efficiency and accuracy are effectively improved. And in the aspect of version management, the whole process operation from creation to release is realized, the timeline and historical report of the whole life cycle can be displayed, and the transparency and traceability of version control are ensured. On the whole, the method effectively improves the efficiency and reliability of whole vehicle software version management, simplifies the operation process, and enables the version control to be more efficient, more accurate and easier to manage.