1082 results about "Package" patented technology

The invention relates to an alarm event root cause analysis method, device and equipment based on a large language model and business topology, and the method comprises the steps: based on an analysis engine, according to an alarm event sent by an alarm system, obtaining an association node set, collecting multi-source data, generating a preliminary context packet, carrying out the extraction of abnormal information according to the preliminary context packet, and carrying out the analysis of the abnormal information. And generating a refined context package by removing irrelevant node information, and generating an interpretable root cause analysis report through large language model constraint and reasoning based on the constructed large language cue word template. According to the method, the initial context packet covering the fault propagation link is constructed based on the service topological graph, rapid modeling of the context is achieved, the high-frequency error mode template is generated through clustering, irrelevant nodes are dynamically pruned to generate the refined context packet, accurate focusing and data filtering are achieved, and the fault propagation efficiency is improved. And embedding the refined evidence chain through a structured cue word template, and driving the large language model to output an interpretable root cause report.

Detecting package execution for threat assessments, including: receiving, from an agent on a host of a cloud deployment, data describing one or more active packages installed on the host, wherein each of the one or more active packages are identified by the agent from a plurality of packages in response to detecting a corresponding file open event; and generating a threat assessment for the host describing which of the one or more active packages have any known vulnerabilities.

The invention belongs to the technical field of intelligent manufacturing and automatic design optimization, and discloses an automatic template generation method and system based on UG software, and the method comprises the steps: capturing a sketch operation event flow, carrying out the deep binding of geometric parameters and tolerance rules, generating a technology enhancement parameter set, and constructing a dual-channel instruction set; synchronously generating a two-dimensional engineering drawing projection and a three-dimensional expansion drawing preview; detecting conflicts in real time, and calling an exception correction plan library for dynamic correction; generating a zero-conflict BREP boundary model and a correction track log, and establishing a log-plan library mapping relation; generating an enhanced BERP model through a template drawing optimization mechanism; further generating a processing path instruction set, and integrating the processing path instruction set into a process compliance template drawing package; generating a cross-platform manufacturing package; constructing a quality index set, and generating an abnormal event association graph; and calculating a rule parameter adjustment amount, dynamically updating the process rule base, generating a global strategy packet, and reversely injecting sketch parameter constraints to form a continuous optimization cycle.

The invention discloses a product full-life-cycle traceability after-sales service system based on multi-source heterogeneous data, and relates to the technical field of product traceability after-sales management. Manufacturing resumes, work orders, spare part warehouse-in and warehouse-out and equipment logs are accessed, mapping of product instances, parts and software primary keys is established, and the product traceability after-sales service system is established. And normalizing the configuration change event into a configuration change event containing double time axes of effective time and warehousing time, and writing the configuration change event carrying differential operation, an evidence packet and an idempotent event identifier into an immutable event library. And constructing a conflict set for the same configuration target, executing uniqueness, causality and compatibility constraint verification, determining an effective event based on evidence packet arbitration, and outputting an arbitration record and confidence. And deriving a configuration version chain according to the effective event and generating a snapshot, performing incremental playback on the late or error correction event and generating an influence propagation list. And when any time point configuration is queried, playback restoration is performed, an evidence chain and confidence are output, an active verification backflow error correction event is triggered if the confidence is insufficient, and the accuracy of quality guarantee judgment and spare part matching is improved.

The invention relates to the technical field of information processing, in particular to a supply chain cross-packet vulnerability detection method, device and equipment and a storage medium. A vulnerability packet name, a sensitive API, a trigger parameter and vulnerability description are integrated into tetrad information; if so, performing cross-packet call chain analysis on the source code file by using a cross-packet chain reachability analysis algorithm, obtaining a function call sequence of the sensitive API based on a cross-packet call chain analysis result, realizing vulnerability detection on a cross-packet call chain, generating a vulnerability verification code based on tetrad information by using a preset large language model, and performing vulnerability verification on the vulnerability verification code. The method comprises the following steps: establishing a function call sequence of a bug verification code, verifying the accessibility of the bug verification code in the function call sequence, determining the bug confidence according to the energy consumption condition of a large language model, and generating bug alarm information when the accessibility verification result is that the bug is accessible and the bug confidence is high, thereby realizing double judgment of the bug, reducing the false alarm rate of the bug and improving the user satisfaction.

The invention relates to the technical field of industrial automation process control, and discloses a data source adaptation and control binding method, device, equipment and medium, comprising: establishing a variable model to generate a variable directory, constructing a data source adapter to generate a data source mapping table and a read-write interface set, generating a control tree in a visual control designer, establishing a binding relationship between control attributes and variables, loading a variable binding engine, analyzing a binding path, generating an execution plan, registering change monitoring, accessing a read-write interface set of a target data source adapter based on the execution plan to complete variable read-write, and generating an execution record, and responding to a variable change event or a control input event to trigger control value write-back and interface refreshing, and finally collecting a variable directory, a binding relationship, a control tree and an execution record to generate a package configuration file. Through a unified variable model and control binding mechanism, cross-data-source analysis and bidirectional linkage are realized, and the interaction efficiency and the system maintainability are improved.

The invention provides a personalized learning path planning system and method, and belongs to the technical field of emerging software and emerging technical services, and the system comprises a data acquisition module which is used for collecting learning behavior data of a terminal user, obtaining a learner portrait package based on the learning behavior data, and sending the learner portrait package to a server; the path planning module is used for carrying out node matching on the learning ability feature vector and a pre-constructed knowledge and skill map, outputting a to-be-learned content node set, dividing learning advanced levels and generating learning path description containing to-be-learned nodes and the advanced levels, and the path generation module is used for generating a primary path planning scheme, the scheme feasibility verification module is used for carrying out scheme feasibility verification in combination with the learning advanced level and the path adaptation parameters, and then outputting a final executable path scheme, and the scheme execution module is used for executing the final executable path scheme and controlling learning content pushing and progress adjustment. The problems that in the prior art, personalized learning path planning is not high in precision, not high in adaptability, lack of dynamic optimization and the like are solved.

The invention belongs to the technical field of computer software, and particularly relates to a heterogeneous database unified deployment management method based on a cluster management platform, which comprises the following steps: predefining metadata of various database services; the method comprises the following steps: pre-constructing a multi-version program package warehouse, and establishing a structured warehouse directory system; obtaining a chip architecture and an operating system type of the target node, and generating environment fingerprint information; dynamically selecting a database installation package matched with the current environment and a dependency item set of the database installation package by mapping a warehouse directory system; through a unified database adaptation layer, a standardized operation interface is called, and installation, configuration and start-stop operation of the database are executed; a visual deployment and arrangement function based on component roles is provided by expanding a Web service interface of the management platform; and according to a deployment arrangement result and the environment fingerprint information, calling a deployment script to complete automatic deployment and configuration of the database cluster. According to the invention, unified adaptation, deployment and full-life-cycle management of various domestic databases are realized.

The invention provides an enterprise-level application rapid development and deployment method and system based on model driving, and relates to the technical field of data processing, the method comprises the following steps: obtaining structured modeling data, carrying out semantic disassembly and relationship classification, and constructing an intermediate model structure; performing traversal analysis on the flow path to generate an execution mapping configuration table; extracting a form type, a data field definition and subsequent flow path information corresponding to each flow node, and matching and generating a front-end rendering component file and a rear-end interface description file in combination with a preset front-end template library and a service interface template; automatically splicing the front-end page code and the rear-end controller code by using a template engine to generate a target deployment structure; executing code construction and dependent compilation operation, and outputting a deployment package file conforming to enterprise-level application specifications; according to the method, the autonomy and the accuracy of rapid development and deployment of enterprise-level applications are improved.

The invention belongs to the technical field of software management, and particularly relates to a cross-platform repair method and system based on a large language model.The method comprises the steps that a cross-platform package manager interface is used for conducting static analysis on a dependency list of a target software project, a cross-platform dependency tree is obtained, and the target software project is repaired based on the cross-platform dependency tree; respectively injecting lightweight monitoring probes into at least two operating system platforms, and collecting dynamic tracking data of each dependency component in the dependency tree; fusing the dependency tree and the dynamic tracking data, and establishing a cross-platform security map comprising a dependency calling edge, a version conflict edge and a platform vulnerability association edge; according to the method, the lightweight monitoring probe is injected into the multi-operating system platform, the loading sequence, the function call sequence and the memory layout difference of the dependent components are dynamically collected, and the cross-platform security map is constructed in combination with the static dependency tree, so that the specific potential safety hazard of the platform can be accurately identified, and the comprehensiveness and the accuracy of cross-platform risk perception are remarkably improved.

The invention belongs to the technical field of computer software, and particularly relates to a data lake and warehouse management deployment method applied to a domestic operating system, which comprises the following steps: establishing a heterogeneous server cluster, deploying various domestic operating systems in the server cluster, and completing configuration of a network architecture and a basic software environment; the method comprises the following steps: carrying out localization adaptation on a software component source code, synchronously modifying package management logic of a self-research data lake and warehouse management platform, and further implementing intelligent compiling to generate a program package for different instruction set architecture and domestic operating system combination; automatically generating and executing a deployment script by utilizing a self-developed data lake and warehouse management platform to complete installation and configuration of each software component on a target node; and after deployment of each software component is completed, systematic deep tuning and component-level accurate tuning are automatically performed on the deployed system and each software component, and automatic verification is executed. The invention provides an efficient, stable, safe and controllable data lake and warehouse integrated solution for users, wherein the data lake and warehouse integrated solution can be used immediately after being opened.

The invention discloses a Kubernetes-based edge collaborative publishing method and device and a medium, and the method comprises the steps: receiving an application deployment parameter submitted by a user through an abstraction interaction layer at a cloud center management and control end, and matching a pre-packaged basic mirror image and a starting script from a standardized environment library according to a running environment template to generate a resource declaration file; packaging the resource declaration file and a user code medium into a versioned application medium package, storing the versioned application medium package into a cloud center unified warehouse, and issuing an upgrading instruction to a target edge node through a task scheduling engine; actively polling the cloud center at the target edge node through a node agent to obtain an upgrading instruction, and pulling an incremental medium packet from a unified warehouse of the cloud center to a local cache warehouse according to the upgrading instruction; and calling a pre-integrated standardized environment engine to load a basic mirror image and a starting script in the target version medium of the incremental medium package, executing offline containerization deployment, and collecting a container running state in real time and synchronizing the container running state to a cloud center.

The invention relates to the technical field of computers, and provides a cross-platform installation package automatic adaptation method and system, and the method comprises the steps: obtaining a unified description file and an operating system fingerprint of each target platform; based on the operating system fingerprints of the target platforms and the installation package adaptation parameters, matching is carried out, and dependency trees of the target platforms are generated; and generating an adaptive installation package based on the dependency tree of each target platform and the installation package adaptation parameter. According to the cross-platform installation package automatic adaptation method, specific parameters and shared parameters of the platform are managed in a centralized mode through unified description files, environment intelligent perception is achieved and the dependency tree of the platform is generated in combination with dynamically obtained operating system fingerprints, and the adaptive installation package is generated through analysis of the installation package adaptation parameters of the platform and the dependency tree. The problems of low adaptation efficiency, high configuration error rate, high maintenance cost and the like are solved; in addition, a unified construction management mechanism realizes cross-platform centralized management and control, and the accuracy and efficiency of cross-platform installation package adaptation are improved.

The invention relates to the technical field of mobile application continuous integration automation, and discloses a multi-channel APP automatic packaging system which comprises the steps that byte code files in a released mobile terminal APP installation package are acquired, and an occupied symbol space set is generated; generating an available confusion namespace by using set complementary operation; extracting method-level code change by using an abstract syntax tree difference algorithm, and generating a change method set; generating a patch special confusion rule for the change method set by using a namespace allocation algorithm; compiling and obfuscating the change method set by applying a patch special obfuscating rule to generate a safe obfuscating patch byte code; performing packaging and signature operation on the safe obfuscation patch byte code, and outputting a minimized obfuscation safe hot repair patch pack; according to the method, the technical problems that class definition conflicts or method calling errors occur after the hot repair patch is loaded, and the downloading success rate of a user is affected due to the overlarge size of the hot repair patch are solved.

The invention discloses a Flutter-based cross-platform IPA packet uploading method, system and device and a medium, and the method specifically comprises the following steps: using a Flutter framework to develop a desktop application, and pre-packaging an iTMSTranport command line tool and a Java runtime environment in the desktop application; based on the desktop application, responding to user dragging or file selection operation to obtain an IPA file, automatically decompressing the IPA file and performing file analysis to obtain an analysis result; dynamically generating a command line instruction according to an analysis result; on the basis of a command line instruction, an uploading command is executed through a protossrun library promoter sub-process of the Flutter, and a command line output stream is captured in real time; and monitoring an exit code of the sub-process and a success identifier or an error identifier in the output stream, generating an uploading result report and triggering a system notification. According to the method, the key tool and the environment are integrated in the Flutter desktop application, so that a cross-platform IPA packet uploading function is realized, a unified and convenient operation entrance is provided for a user, platform limitation is broken, and development efficiency and experience are improved.

The invention relates to the technical field of system security, and discloses a firmware package generation method, a secure starting method, a verification method, a device and a medium, the starting method is suitable for a vehicle-mounted SoC system without OTP / eFuse and with a BootROM unmodifiable, and complementary building of a trusted root is achieved in a software mode. In response to the starting instruction, the BootROM loads a security bootstrap program; during first deployment, a secure storage area is created in a nonvolatile memory, and an initial root public key and an abstract thereof are written in to complete initialization of a trust chain. In the subsequent starting process, after the security bootstrap program verifies the integrity of the root public key, the mirror image public key, the abstract and the signature of the mirror image to be started are verified, and it is ensured that the source is legal and the data is complete. On-line updating of a root public key through a chain signature mechanism is supported, that is, a current effective root private key is used for carrying out abstract signature on a new public key, and the new public key can be replaced after the signature verification of an old public key is passed, so that key rotation and trust anchor migration without hardware modification are realized.

The invention discloses a general member package management system based on a hierarchical decoupling architecture, and the system comprises a configuration layer, an execution layer, and an auditing layer: the configuration layer is used for abstracting a right and interest combination, a selling strategy, and a life cycle rule of a member package into a configurable metadata model; the execution layer is used for driving a package life cycle through a state machine and synchronizing state change in combination with an event bus; and the auditing layer is used for recording historical snapshot versions configured by the package and associating the snapshot versions during user operation. According to the invention, high expansibility, high consistency, flexible configuration and traceability of the member system are realized, and rapid iteration requirements of multiple service lines are effectively supported.

The invention discloses an isolated operation system and method for an agent platform, and the system comprises a development and arrangement subsystem which is deployed in a first resource cluster and is used for visually constructing and debugging an agent and generating an agent metadata package containing the complete definition of the agent; the operation service subsystem is deployed in the second resource cluster and is used for creating an independent operation sandbox for each agent according to the metadata packet and packaging the capability of each agent into an API (Application Program Interface); and the isolation dispatching center is connected with the two. The scheduling center realizes physical isolation of a development domain and an operation domain on an infrastructure layer through a strategy configuration module, and uniformly schedules an intelligent agent state through a life cycle scheduling engine: indicating to create an isolated debugging sandbox in a development debugging stage, and performing compliance verification on a metadata packet in a release operation stage; and after passing, automatically triggering to create a corresponding running sandbox in the running domain. According to the invention, physical isolation and full-process management and control of development and operation environments are realized.

The invention discloses a manufacturing method of an installation package and a related device, and relates to the technical field of software engineering. Comprising the steps that a target MakeFile is created, and other instruction items, except for an install instruction item and a unstall instruction item, in the target MakeFile are all empty; obtaining a target compressed package corresponding to the target software; based on the target MakeFile and the target compressed package, constructing an initial project; adding a management script of the target package in the initial project to obtain a target project; and based on the target project, generating a target installation package corresponding to the Kylin Linux operating system. The manufacturing method of the installation package does not depend on source code reconstruction, a large amount of workload for compiling and maintaining complete Makefile in a traditional scheme is omitted, the packaging period is greatly shortened, and meanwhile the compatibility and integrity of the installation package are guaranteed.

The invention discloses an enterprise-level three-party dependency package security management and control system and method, and relates to the technical field of software supply chain security, and the enterprise-level three-party dependency package security management and control system comprises the following modules: a timed task scheduling module, an external network package pre-scanning module, a private service package monitoring module, a dependency graph construction module, a product management and control module and a notification display module. By establishing an external network packet pre-scanning mechanism, security scanning is performed and a blocking list is generated before a dependent packet enters an enterprise private server, and introduction of a packet containing high-risk vulnerabilities is blocked from the source; meanwhile, through the continuous monitoring of the private server package and the construction of the dependency relationship graph, the vulnerability discovery and the accurate positioning of the influence range of the stored dependency package are realized; and finally, performing hierarchical management and control on the affected products based on vulnerability levels, and realizing timely transmission and situation visualization of risk information through a notification display module. According to the invention, full-life-cycle safety protection from an external network source to internal products of an enterprise is realized, and the safety management level and risk response efficiency of the dependent package of the enterprise are effectively improved.

The embodiment of the invention provides a production process configuration method, system and device, a storage medium and a program product, and relates to the field of artificial intelligence. The method comprises the following steps: after obtaining a service demand, analyzing the service demand based on an intelligent agent, and generating corresponding configuration information in combination with a configuration information management rule; in the code development process, the configuration information is adjusted based on the agent according to the change information of the code; and after code development is completed, packaging the latest code according to a preset version management rule based on the intelligent agent, generating a version package, and deploying the version package to a corresponding environment. According to the method, the configuration information is automatically generated according to the service requirements, the configuration information can be automatically adjusted according to needs in the development process, and after the codes are completed, the codes can be automatically packaged and deployed into the corresponding keys, so that developers only need to provide some key service requirements, and the development efficiency is improved. Manual operation links in the production process are reduced, the production efficiency is improved, and the error rate is reduced.

The invention provides a dynamic collaborative management method and system for intelligent configuration of DevOps in the power industry, and belongs to the technical field of operation and maintenance management of a power information system.The method comprises the steps that a natural language instruction of a user is analyzed, a target application, a target environment identifier and a target version are recognized, and a deployment request is generated; in response to the deployment request, calling the security baseline configuration library to execute static code compliance check to generate an application version package; deploying the application version package to a target environment, and synchronizing deployment data to a knowledge graph; after deployment is completed, a dynamic configuration change request is generated, a security baseline configuration library is called to execute dynamic configuration compliance verification, and dynamic configuration is updated to a target environment; and the running state of the target application is monitored in real time, dynamic configuration is automatically adjusted when the target environment changes, and fault positioning and repairing are executed based on the knowledge graph when the running state is abnormal. According to the invention, full-life-cycle management from a user instruction to application deployment, configuration management, operation monitoring and fault processing is realized.

The invention discloses a construction method and device of an incremental upgrade patch, electronic equipment and a storage medium, and relates to the technical field of computers, a file list and a change type are extracted from a code submission record, difference comparison is performed on files of an original version and a target version based on the information to generate code difference data, and the code difference data are sent to a server; therefore, the problem that the upgrade package contains a large number of redundant codes or key change contents are omitted and the upgrade accuracy and reliability are affected due to the fact that only a file name or a directory structure is used as a change judgment basis in an existing incremental upgrade method can be solved; the technical effects of improving the accuracy and reliability of incremental upgrading and reducing upgrading package redundancy are achieved.

The invention relates to the technical field of software development, and particularly discloses a 3D digital human system integration method and system based on a credential environment, and the method comprises the steps: copying an integration package of a 3D digital human system to a designated server in an offline mode, and carrying out the interactive operation through a terminal; selecting a 3D digital human model through an editing and creating interface of the 3D digital human system, configuring interaction parameters based on the digital human resource management library, and performing a preview test; integrating a multi-channel voice intention analysis model based on the 3D digital human model, performing noise recognition and dialect matching, analyzing user intention, determining answer content from an answer knowledge base, outputting answer voice according to the answer content, rendering the 3D digital human model according to the answer content and the user intention, and driving multi-modal interaction service feedback. The operation state data is monitored in real time to give an abnormal alarm; according to the invention, high performance, high stability and easy landing application of the 3D digital human system in the credential environment can be realized.

The invention provides an automatic testing method, device and platform for equipment load function performance, and relates to the technical field of software testing. According to the invention, through setting the plurality of subprogram packages in the process of testing the load function performance of the equipment, automatic programming is carried out according to the equipment type, the load type and the function type, the modularized combination generation of the test item, the test program and the subprogram is realized, the professional threshold is reduced, and the generation speed of the test program is improved. Furthermore, in combination with the task queue of the test accompanying instrument, path optimization is carried out on the test process, the test sequence of a plurality of test items is optimized, and the waiting time is shortened. Finally, based on the testing process and the testing program, automatic testing is achieved, the problem that the testing efficiency is low in the equipment load function performance testing process is solved, and the testing efficiency of the equipment load function performance testing is improved.

In some implementations, a user device may transmit, to the package repository, a request for a code package. The user device may receive, from the package repository, an indication of a plurality of versions of the code package. The user device may receive, from the package repository, an indication of a suggested version from the plurality of versions. The suggested version is based on automatic testing of the code package by the package repository. The user device may transmit, to the package repository, a request for the suggested version. The user device may receive, from the package repository, at least one file included in the suggested version.

Technology for applying artificial intelligence to decide when to, and / or when not to, send a consumer of a computer system a communication recommending that the computer system be revised to include a more recent version of at least one of the following: a hardware component (for example, microprocessor(s)) and / or a software component (for example, an updated version of an app). The computer system, that is subject to modernization, may be owned outright by the consumer, or it may be purchased as a service (for example, infrastructure as a service, software as a service, package of cloud services). Some embodiments focus on modernization recommendations specifically tailored to cloud orchestration software that deploys containers.

The invention discloses a distributed model training method and system based on training and compression layering, belongs to the technical field of distributed machine learning, and is used for solving the problem that an existing model distributed training method cannot reduce the resource burden of end-side equipment and cannot guarantee communication efficiency and model precision at the same time. And edge side and end side training of the model is not facilitated. The method comprises the following steps: end-side equipment calculates a complete local gradient based on a global model and local data and uploads the complete local gradient to an affiliated edge node; the edge node aggregates the complete local gradients sent by the end side devices to obtain a regional average gradient and performs error compensation to obtain a corrected gradient; compressing the corrected gradient twice to obtain a final compressed update package, and uploading the final compressed update package to an affiliated cloud server; the cloud server globally aggregates the final compressed update package sent by each edge node to obtain a global model update package; and optimizing the global model according to the global model updating package to obtain an optimized model.

The invention discloses a cross-framework rendering method, device and equipment of a business component, a storage medium and a product, relates to the technical field of computers, and is applied to a cross-framework rendering system of the business component, the system comprises a component warehouse, a component service and a component calling toolkit, the method comprises the steps that a component rendering request from a client side is received through the component calling toolkit, and the component rendering request comprises a component identifier, version information and attribute data; acquiring corresponding component resources from the component warehouse through the component service according to the component identifier and the version information, and selecting a corresponding rendering adapter according to the component resources; and through the rendering adapter, performing rendering processing on the component resources by using the attribute data to generate a rendering result, and returning the rendering result to the client through the component calling toolkit to perform rendering presentation. The development cost can be reduced.

The invention discloses an automatic deployment method, device and equipment for Linux environment software and a medium, and relates to the technical field of software deploy.The method comprises the steps that Linux environment information is collected on the basis of a programming language and in combination with a Linux system command, and the collected Linux environment information is stored as structured data; creating an improved model, and training by adopting pre-collected Linux environment software deployment case data, so that the trained improved model outputs a deployment strategy based on the Linux environment information; and according to the output deployment strategy, downloading an installation package of the software to be deployed and carrying out analysis processing on a software installation dependency relationship so as to realize automatic installation and deployment of the software based on scripts. According to the method, the software deployment in the Linux environment can be efficiently realized, the deployment error rate is reduced, and the adaptability is enhanced.