27 results about "Enterprise architecture" patented technology

The invention provides a service fault recovery method and system based on disaster recovery strategy optimization, and the method comprises the steps: obtaining a network topological graph and an enterprise digital twin model based on an enterprise IT architecture; obtaining an initial disaster recovery strategy based on the network topological graph; inputting the initial disaster recovery strategy to the enterprise digital twin model, optimizing the initial disaster recovery strategy until a preset convergence requirement is met, obtaining a target disaster recovery strategy, and storing the target disaster recovery strategy to a preset cloud strategy library; and when a service fault occurs, automatically switching a target disaster recovery strategy based on the preset cloud strategy library so as to recover the service fault. According to the invention, the problem of poor service fault recovery reliability caused by the fact that the disaster recovery scheme cannot be adaptively adjusted according to different service fault scenes in the prior art is solved. According to the invention, self-adaptive adjustment of the disaster recovery strategy is realized, and service fault recovery reliability is improved.

The invention relates to the field of post capability modeling, in particular to an intelligent post capability dynamic modeling optimization system and method based on data analysis. The method comprises the following steps: carrying out hierarchical deep analysis on an enterprise organization structure, carrying out enterprise topology network modeling, and constructing an enterprise structure topology network; the method comprises the following steps: collecting enterprise employee multi-dimensional behavior logs based on an internal heterogeneous system of an enterprise, carrying out one-by-one employee behavior analysis and dynamic behavior interaction perception, and constructing a multi-post behavior interaction graph; performing staff performance time sequence calculation based on the multi-post behavior interaction diagram, performing multi-dimensional capability comprehensive evaluation, and constructing a post multi-dimensional capability evaluation model; spatial position calculation is carried out on the enterprise architecture topology network one by one, and a real-time adjustment post topology model is constructed. According to the method, dynamic personnel demand configuration analysis and adjustment are realized, the maximum utilization efficiency of talent resources is kept, and the enterprise personnel configuration flexibility is improved.

The invention discloses an enterprise tax analysis system based on big data, and relates to the technical field of tax analysis, and the system comprises the steps: dynamically generating a tolerance interval based on a real-time bulk commodity fluctuation rate and a Nash equilibrium solution; when the market fluctuates, the system automatically adjusts a pricing floating boundary, and introduces a holding level distance factor to counteract the influence of the number of associated parties on pricing, so that an enterprise cannot pre-judge an inspection judgment standard; according to the invention, through the inspection feedback module, the confirmed tax saving characteristics are fed back to the game model in real time, and state updating every 24 hours is combined, so that the system is rapidly converged to a new equilibrium point after regulation of a supervision policy or recombination of an enterprise architecture, and inspection failure caused by data lag is avoided.

This disclosure relates to systems and methods for generating enterprise architectures for enterprise networks. As an example, one method may include: receiving historical information from multiple enterprise networks, the historical information including information about the enterprise architecture of each enterprise network; analyzing the historical information from the multiple enterprise networks to generate a network health score for each enterprise network; training a machine learning model using multiple machine learning algorithms based on the historical information and the network health scores of each enterprise network; and using the machine learning model to generate an enterprise architecture for a first enterprise network, which is either a new enterprise network or an existing enterprise network among the multiple enterprise networks.

The invention discloses an enterprise-level architecture modeling and layer-by-layer decomposition method based on a unified meta-model, which comprises the following steps: constructing the unified meta-model covering business architecture, data architecture, application architecture, technical architecture and security architecture domains, including defining core element types and cross-domain association relationship types of each architecture domain; according to the unified meta-model, enterprise-level overall architecture modeling is carried out, and an enterprise-level architecture asset library including multi-architecture-domain standard assets and dependency relationships thereof is generated; and step-by-step architecture decomposition design is carried out on a project to be implemented based on the unified meta-model and the enterprise-level architecture asset library, and a project-level architecture blueprint aligned with the overall architecture, a refined project demand specification and a landing technology design scheme are sequentially output. Through a unified meta-model and a layer-by-layer decomposition tracing mechanism, the problem of disjunction of semantic segmentation and strategic execution in cross-domain architecture modeling is solved, and collaboration, alignment and controllability of cross-domain architecture design are achieved.

The invention discloses an enterprise architecture construction method and device, and relates to the technical field of computers. The computing device obtains the probability of the incidence relation between the first framework and the second framework based on a rule matching system; and the computing device displays a second interface containing the enterprise architecture based on the probability that the association relationship exists between the first architecture and the second architecture. Thus, the computing device displays a second interface including the enterprise architecture according to the rule matching system. Multiple times of communication are avoided, and the efficiency of constructing the enterprise architecture is improved. According to the method and the device, multiple communication is not needed, the influence of the difference of the business levels of workers on the constructed enterprise architecture is reduced, a guarantee is provided for the accuracy of the constructed enterprise architecture, and the requirements on the workers are reduced.

The application relates to an artificial intelligence-based software design scheme automatic evaluation method and system, which automatically extracts function entities and architecture topologies in a design document through a multi-modal analysis technology to generate a structured design scheme atlas; performs standardized compliance checking based on an enterprise architecture benchmark library to identify technical specification deviation and component reuse defects; fuses a defect prediction model and a risk quantification mechanism to analyze component coupling degree and historical defect data to generate a risk atlas; combines constraint rules and a similar case library to deduce an executable architecture optimization path; finally, constructs a closed-loop decision chain of technical compliance, risk control and asset reuse to generate a quantitative evaluation report. The application solves the problems of traditional evaluation methods, such as dependence on manual work, low efficiency, non-uniform standards and decision disconnection, realizes full-process automatic evaluation from design analysis to improvement guidance, significantly improves evaluation efficiency and decision accuracy, and guides software architecture optimization decision.

The invention discloses a TOGAF enterprise architecture system based on a 5G special frequency private network, and belongs to the technical field of communication, and the system comprises a content meta-model optimization module, a key technology module used for adding a 5G network in a TOGAF content meta-model, an architecture development method ADM optimization module, and a module used for adding a 5G network demand analysis tool and integrated design and layered integration architecture in the ADM of the TOGAF. The method is used for deeply fusing a 5G network with an enterprise business layer, an information system layer and a technology layer. By expanding a TOGAF meta-model and standardizing the 5G core capability, the private network design can be organically integrated into an enterprise architecture blueprint, the complexity and risk of 5G deployment are reduced by an optimized ADM process, the fusion of IT and OT is promoted, the real-time and dynamic adjustment of network resources supported by the system is promoted, the service agility is remarkably improved, and by integrating a data governance framework, the data governance efficiency is improved. And the data quality and decision-making intelligence based on the 5G data are enhanced.

The invention discloses an enterprise management decision-making system based on a PaaS platform. The enterprise management decision-making system comprises a data acquisition and preprocessing module, a data storage and management module, a decision-making model construction and management module, a decision-making analysis and visualization module and a user interaction and authority management module. The data acquisition and preprocessing module acquires data from multiple sources inside and outside an enterprise and cleans and standardizes the data in real time; the data storage and management module realizes efficient storage and management of data by using a distributed storage technology; the decision model construction and management module provides a visual tool to support construction and version management of various types of decision models; the decision analysis and visualization module is used for deeply analyzing data by using a data analysis technology and visually presenting a result; the user interaction and authority management module supports multi-terminal access and distributes authority according to enterprise architecture and business roles. According to the system, the enterprise deployment cost is reduced, the flexibility and expansibility are improved, efficient data processing capacity is achieved, and flexible decision model construction and cross-department collaboration are achieved.

Computer-implemented systems and methods use an AI-assisted code generation tool with the dynamic application context enrichment engine that collects, iteratively if necessary, contextual data about IT infrastructure of the enterprise, such as contextual information from architectural systems, tools and platforms of the enterprise. That enriched contextual information can be passed to the AI-assisted code generation tool so that the AI-assisted code generation tool can provide more well-informed, tailored responses for the user.

The Cognitive Process Workflow (CPW) method with its grammar, syntax and semantics is a process method, a process modeling method and a workflow method applicable to different technical systems. The CPW Method can be applied and realized among others in a process tool, process modeling tool, workflow tool, workflow engine, enterprise architecture framework and enterprise architecture engine. The CPW Process is represented as simple sentence with a CPW Subject, a CPW Predicate and a CPW Object. The CPW Method for the CPW Process Modeling with CPW Process, CPW Dialog and CPW Workflow and in addition with CPW Subject Object Context Diagrams and CPW Subject Object Relationship Diagrams can be applied to the business areas of financial services (banking, assurance and financial approval), chemistry, pharmacy, medicine, transport, travel, film industry, politics, psychology, legal practice and other business areas.

Disclosed are various embodiments for enterprise architecture governance automation. A system is provided which can use a computing device to obtain health data for an application. The computing device can further obtain one or more health standards. Next, the computing device can analyze the health data based at least in part on the one or more health standards and determine a health score based at least in part on the analysis of the health data. Then, the computing device can generate a scorecard for the application based at least in part on the health score.

The invention discloses a process monitoring system supporting multi-level index decomposition, and relates to the technical field of enterprise management, and the process monitoring system comprises the following specific steps: collecting enterprise data information in real time; decomposing the enterprise index data according to the enterprise architecture and the enterprise personnel data to form multiple levels; adding identifiers to the decomposed enterprise personnel data and enterprise index data; enterprise data information collected in real time is processed and analyzed, and all the modules are cooperated at the same time; and after the enterprise data information is processed and analyzed, corresponding early warning information is sent out according to the evaluation result of the enterprise personnel and the enterprise indexes of different levels and the corresponding index completion progress evaluation model. Through the arrangement of the system, microscopic monitoring and macroscopic monitoring can be carried out, dynamic monitoring can be carried out according to the change of data, and meanwhile, different levels in an enterprise architecture can be monitored in a penetrating manner, so that early warning is conveniently sent out, and management and control are facilitated.

The embodiment of the invention discloses a business demand management method and device in an enterprise architecture, a storage medium and a server, and relates to the field of office automation. The method comprises the following steps: obtaining business requirements and enterprise architecture design information, and associating a multi-node review process; generating a report containing demand and architecture matching analysis, a digital construction state and an unconstructed capability list through the multi-modal large model, and outputting a review suggestion; automatically pushing the demand information, the architecture document, the analysis report and the suggestion to each review node by using a process engine; and collecting the review opinions and then summarizing to generate a structured review report. According to the method, unified demand management is realized, visual mapping of demand and architecture design is established, an online automatic review mechanism is provided, intelligent decision is supported, a demand-architecture-analysis closed-loop management system is formed, and digital transformation accuracy and execution efficiency are improved.

The invention discloses an enterprise service bus optimization method and device, electronic equipment and a program product, and relates to the technical field of service bus management. The method comprises the following steps: dividing log data of an enterprise service bus into a plurality of sub-time regions according to equal-time fine granularity of time regions; collecting operation log data and abnormal log data of each sub-time region, and calculating an operation efficiency index and an abnormal processing optimization index based on the operation log data and the abnormal log data, so as to obtain a comprehensive optimization index; and determining a control strategy by comparing the comprehensive optimization index with an optimization threshold value and an early warning threshold value. According to the technical scheme, real-time monitoring of the operation state of the enterprise service bus is achieved, the operation stability and the service adaptation capacity of the enterprise service bus are remarkably improved, the fault risk is reduced, and support is provided for efficient collaboration and service continuity of an enterprise IT architecture.

The invention provides a grading setting method for a group and subsidiary company two-stage legal person enterprise architecture. According to the hierarchical setting method of the group and subsidiary company two-stage legal person enterprise architecture, compatible coexistence of a unified standard and personalized asset management under the group and subsidiary company two-stage legal person enterprise architecture is realized, and the management and control precision and reuse efficiency of architecture assets are improved; the repeated construction cost is reduced; and the expansibility and the collaboration of an enterprise architecture system are enhanced.

The invention discloses an enterprise architecture change management method based on EA-CAB, and belongs to the technical field of enterprise management, and the method comprises the following steps: S1, constructing a three-level EA-CAB system, S2, setting a change classification standard, S3, distributing changes to corresponding EA-CA B levels for review and decision according to a classification result, S4, embedding EA-CAB review activities into each stage of a TOGAFADM method, and S5, carrying out EA-CAB review. And S5, implementing monitoring, effect verification and knowledge feedback to realize closed-loop management of the architecture change. Layered and classified approval of changes is realized, decision-making efficiency and specialty are greatly improved, three-dimensional classification standards of influence range, complexity and emergency degree are introduced, accuracy of change evaluation and response is ensured, an EA-CAB mechanism is embedded into each stage of TOGAFADM, deep fusion of change management and an architecture development process is realized, and agility and continuity of architecture evolution are enhanced.

The application discloses a kind of based on multimodal knowledge graph Enterprise Architecture artifact conflict detection method, system, equipment and medium, method includes to multimodal data is carried out terminology unification processing, obtains standard data;Entity information is extracted from standard data, and the architecture relationship between each entity information is extracted, while adding multimodal attribute for each entity information, according to entity information, architecture relationship and multimodal attribute constructs multimodal knowledge graph;Definition conflict rule, according to conflict rule carries out conflict detection to multimodal knowledge graph, obtains artifact conflict;According to the priority of artifact conflict is evaluated according to conflict root and preset evaluation index;Combining the sorting result of priority and preset reference knowledge base to each artifact conflict generates corresponding solution.The application solves the problems of low efficiency of conflict detection, insufficient multimodal data processing capability and low accuracy of implicit conflict identification in the prior art.

The present invention discloses a digital certificate authentication method, terminal, system and equipment for a landmark enterprise architecture. The actor of the present invention completes the application for the enterprise authentication digital certificate through the actor terminal and forms an invitation link for applying to join the post digital certificate. The responsible person completes the application for the post digital certificate through the responsibility terminal and forms an invitation link for the third-party authentication digital certificate. The third party completes the application for the logistics authentication digital certificate through the third-party terminal. Each behavior certificate is signed with a time and space stamp, and the completed logistics authentication digital certificate is printed into a QR code and affixed to the outer packaging of the geographical indication product. By scanning the QR code, the responsible person can be accurately located according to the recorded information, thereby realizing the product traceability of the geographical indication product and quickly tracing the source of the product with quality problems. The transparency and non-tamperability of the cloud-based public disclosure platform are utilized to ensure the security and reliability of the traceability record.

The invention relates to the field of enterprise operation risk management and control, in particular to an enterprise operation risk monitoring method and system. The method comprises the following steps: obtaining an enterprise architecture diagram, carrying out enterprise hierarchical architecture analysis, and constructing an enterprise operation panoramic topological diagram; a real-time multi-source business event flow is collected, multi-dimensional index trend analysis is carried out, and a multi-dimensional business behavior curve is generated; performing real-time business anomaly detection according to the multi-dimensional business behavior curve, and marking an abnormal event node with a high deviation value; performing dynamic risk diffusion tracking on the enterprise operation panoramic topological graph according to the abnormal event nodes to generate a risk diffusion trajectory graph; and carrying out multi-scene risk evolution based on the risk diffusion trajectory diagram, carrying out enterprise risk prevention and control arrangement, and constructing an enterprise risk prevention and control strategy. The enterprise operation risk detection and prediction capability is improved, and the risk response level is improved.

The invention provides a resource allocation method and system based on a business architecture, relates to the field of big data analysis and processing, can be applied to the financial field or other fields, and comprises the following steps: carrying out classification analysis on business types of a target enterprise architecture to obtain the business architecture, obtaining relation annotation information according to the corresponding relation between the business architecture and the service resources; establishing a mapping relationship between the business architecture and the service resources according to the relationship annotation information and the corresponding relationship; service tide data are obtained through analysis according to the service processing types of service personnel in historical service processing data and the mapping relation; and dynamically allocating the service resources according to the service tide data and the current service resources.

Systems and methods described herein involve receiving journal copies of the e-mails directed to the enterprise architecture; retrieving message identifiers (IDs) from the journal copies of the e-mails for managing the journal copy in a full text index; and in response to a request to retrieve one or more of the in-place e-mails from the enterprise architecture associated with a message ID: providing the message ID to the API associated with the enterprise architecture to retrieve one or more processing points used by the enterprise architecture to process a journal copy corresponding to the message ID; and providing the retrieved one or more processing points associated with the requested one or more of the in-place e-mails to the API to retrieve the requested one or more of the in-place e-mails from one or more devices storing the one or more of the in-place e-mails.

This disclosure describes techniques and mechanisms for improving security within SDWAN fabric and utilizing telemetry data from non-enterprise providers to remediate compromised SDWAN site(s) and / or user(s). The techniques may implement an integration of non-enterprise application(s) and API(s) with an enterprise network, thereby enabling the enterprise network to identify compromised endpoint(s), identify user(s), group(s), site(s) that are impacted, and take a corrective action (by the enterprise network and / or the non-enterprise application(s) or API(s)) on the enterprise fabric.

The invention provides a group-type enterprise architecture governance method and system based on a multi-tenant mode, and belongs to the field of enterprise informatization management, and the method comprises the steps: S1, constructing a mixed resource library of a group-level unified architecture, including a global shared database and a tenant independent database, and defining architecture principles and standards; s2, constructing an architecture resource library based on a multi-tenant mode, inheriting resources by subordinate units with tenant identities, and developing a local architecture in an independent space; s3, controlling the access and operation authority of the tenant to the resource library through a dynamic authority strategy, establishing a bidirectional interaction mechanism, and supporting a subordinate unit to contribute an optimization scheme to the group resource library; and S4, implementing a five-dimensional treatment process, and guiding closed-loop management of monitoring, development, implementation, service and compliance. According to the method disclosed by the invention, closed-loop management of downward inheritance and upward feedback of the group-type enterprise architecture, resource hierarchical sharing and authority isolation are realized.

The invention discloses an application system and method based on an enterprise architecture meta-model, and the system comprises a sub-architecture module which is used for constructing a plurality of sub-architecture meta-models according to preset sub-architecture elements and the relation between the preset sub-architecture elements, the plurality of sub-architecture meta-models comprise a service architecture meta-model, a data architecture meta-model, an application architecture meta-model, a technical architecture meta-model and a security architecture meta-model; the enterprise architecture meta-model module is used for constructing an enterprise architecture meta-model according to architecture element mapping relationships among the business architecture meta-model, the data architecture meta-model, the application architecture meta-model, the technical architecture meta-model and the security architecture meta-model; and the architecture scheme module is used for acquiring architecture requirements of technicians and constructing an architecture construction scheme according to the architecture requirements through the enterprise architecture meta-model. According to the invention, end-to-end communication of business, data, application, technology and security architecture is realized, the cross-architecture field connectivity is improved, and the reusability and the security guarantee level are improved.

The present invention discloses a method, device, storage medium and electronic device for processing enterprise architecture. Relating to the field of artificial intelligence technology, the method includes: obtaining a service call link and target physical table information of a service in the enterprise architecture; determining the target production operation model of the enterprise architecture through a software asset management system based on the service identifier of the service in the service call link and the target physical table information; determining the target preset model of the enterprise architecture through an architecture asset management system and a software asset management system based on the service identifier of the service in the service call link; comparing the target production operation model with the target preset model, and if the comparison result indicates that the business model of the enterprise architecture is inconsistent with the computer implementation, generating a service record to be governed for the service call link. The present invention solves the technical problem of using a semi-manual method to identify the consistency between the business model of the enterprise architecture and the computer implementation, resulting in poor identification effect and low consistency maintenance efficiency.