40 results about "Business architecture" patented technology

The invention discloses a scene-oriented rail transit operation business process standardization design method, and relates to the technical field of urban rail transit standard digital transformation, and the method comprises the steps: carrying out the classification and grading processing of an urban rail transit standard file and an urban rail transit operation standard, and obtaining machine readable standard data; based on the service architecture, performing service splitting processing on the machine readable standard data to obtain professional data containing a multi-level interface; according to the professional data, constructing a scene-based operation knowledge graph; carrying out secondary disassembly and recombination processing on the scene-based operation knowledge graph to obtain minimum scene unit data; and performing systematization processing on the minimum scene unit data to obtain a standardized operation business process. According to the invention, the operation management business process is standardized, so that the operation efficiency and the operation safety are improved.

The invention discloses a dynamic expansion management method for a protocol coding and decoding adapter of Internet of Things equipment, which comprises the following steps of: 1, carrying out standardized configuration on access of Internet of Things platform equipment, and carrying out component registration and dual-mode interface management; step 2, configuring a standardized reporting and distributing mechanism of Internet of Things platform equipment data, and performing message queue configuration, message analysis and storage and dual-mode data output; 3, configuring a data issuing mechanism of the Internet of Things platform, and carrying out protocol adaptation and data issuing; and 4, on the basis of the configuration, carrying out full-life-cycle dynamic management and control, including safe recovery and dynamic change, on the adapter of the Internet of Things platform, the method can carry out dynamic registration, logout and addition on the adapter, and does not cause the change of the whole service architecture and the processing flow when a protocol is changed, thereby shortening the development cycle of the Internet of Things equipment, and improving the development efficiency of the Internet of Things equipment. The maintenance complexity is reduced, and the problem that a software system is unstable is solved.

The invention relates to the technical field of enterprise services, in particular to an architecture-as-a-service system and method based on the TOGAF standard, and the method comprises the steps: receiving enterprise architecture data information inputted by a user based on a technical architecture through an architecture-as-a-service platform composed of a business architecture, a system architecture and the technical architecture, graphic data are assembled based on the enterprise architecture data information; based on the system architecture, generating view data according to the graphic data and a graphic layout algorithm, and judging whether the generated view data is a process implementation graph or not; and based on the business architecture, when the generated view data is a process implementation graph, performing quadratic programming by using a graph layout algorithm to generate new view data, and generating an architecture view from the new view data by using a graph editor. Therefore, the problems that an existing enterprise architecture implementation scheme is low in level coverage rate, a modeling tool is difficult to adapt to a complex enterprise environment, unified information management is lacked, and the connection degree of the enterprise architecture and landing implementation is low are solved.

The invention discloses a multi-dimensional monitoring evaluation method and device, a server and a computer readable storage medium. According to the method, service attribute data and historical fault data are used as original data, the position of a monitored object in a service architecture and the performance of the monitored object in a fault scene can be accurately determined, and misjudgment of monitoring importance caused by data missing is effectively avoided; besides, quantitative scoring is carried out from multiple dimensions, the business value dimension is used for measuring the business criticality of a monitored object, the operation and maintenance utility dimension is used for quantifying the actual value of monitoring in fault processing, and the resource efficiency dimension is used for balancing the monitoring precision and resource consumption. The subjective operation and maintenance experience can be converted into objective data indexes through multi-dimensional cross scoring, the monitoring task can be comprehensively evaluated, various to-be-optimized scenes can be found through data cross analysis, and then the adaptive capacity and operation and maintenance efficiency of a monitoring system to a distributed system are improved.

The invention relates to a business system updating method and device, computer equipment, a computer readable storage medium and a computer program product, relates to the technical field of databases, and can improve the adaptation degree of a data architecture and a business current situation. The method comprises the following steps: acquiring a database table of a business system of an enterprise, determining a logic entity corresponding to the database table, and storing the logic entity into an enterprise architecture management system; determining a conceptual entity corresponding to the business object of the enterprise based on a pre-acquired business architecture of the enterprise; determining a first association relationship between the logic entity and the concept entity; based on the first association relationship and a second association relationship between the logic entities, determining a data architecture of the enterprise, and storing the data architecture into an enterprise architecture management system; and based on the data architecture, updating the database table in the business system to obtain an updated business system.

The present disclosure provides a method, apparatus, and electronic device for determining associated assets, which are applied to the fields of artificial intelligence or finance, etc. The method includes: obtaining input information from a client; in response to the input information, performing a match in a keyword library based on the input information to determine directly associated assets corresponding to the input information, where the keyword library includes the corresponding relationships between assets and keywords in the business architecture; and determining derivative associated assets for the directly associated assets based on the association relationships between multiple assets in the business architecture.

The invention discloses a software engineering implementation method, and the method comprises the steps: business modeling: anchoring a demand source, and converting a business demand into a landing model; the software requirement specification specification is used for solidifying a requirement standard and forming a specification document based on the business modeling result; summary design: constructing a technical framework, joining demands and development, and macroscopically planning a system architecture; the framework is converted into an executable scheme, and coverage integration, implementation and development are achieved. According to the software engineering implementation process, a standardized'business modeling driving type 'specification is taken as a core, a five-level process model and a data model are used for constructing a business architecture core framework, full-link connection of'business demand-data logic-IT design-landing implementation' is broken through by means of a structured view, and complex processes / functions are deconstructed and split into micro-service interface-level granularity, micro-service interface-level granularity, micro-service interface-level granularity and micro-service interface-level granularity. Accurate correspondence and decoupling of the service component and the IT component are achieved, and finally efficient landing of the service architecture in the IT architecture is guaranteed.

The embodiment of the invention provides a business code auditing method and device, electronic equipment and a storage medium, and relates to the field of business architecture. The method comprises the steps of obtaining a service demand and a to-be-audited code, generating a service flow graph representing a service function according to the service demand, identifying code change content from the to-be-audited code and generating a related program flow graph, and determining whether the to-be-audited code meets the service demand or not according to the service flow graph and the program flow graph. Through the mode, business requirements and codes can be converted according to the business asset library and the code asset library to obtain a more standard flow graph with stronger relevance, and elements of different dimensions in the business flow graph and the program flow graph are compared in combination with an auditing rule, so that the code auditing difficulty can be reduced, the auditing efficiency and the auditing accuracy can be improved, and the code auditing efficiency can be improved. And the code auditing and developing period is shortened.

The present disclosure relates to a business architecture determination method and device, equipment and medium, to solve the problem of complex organization architecture conversion and low flexibility in related technologies, the method comprises: obtaining virtual organization data, the virtual organization data comprises organization object data of the virtual organization; determining resource data of the virtual organization based on the organization object data; if the resource data of the virtual organization meets the preset organization rule, the virtual organization is converted into an entity organization.

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 distributed job service scheduling method, distributed server and service terminal provided by the present invention can be used in the field of big data technology. First, obtain the service scheduling information of each service terminal, and then arrange the service scheduling information into a message pipeline; finally, perform service scheduling on each service terminal according to the message pipeline. It can be seen that through the setting of the message pipeline, the present invention componentizes business functions with tasks as the carrier components, and completes the dependency relationship in the form of a pipeline, solving the problem of job execution with front-back dependency relationships in traditional projects. It reduces the coupling of data synchronization collection and function integration and disassembly between systems, and ensures data consistency. It provides scalability for changes in business rules and upgrades of business architectures in business systems. For the modification and addition of job scheduling, there is no need to modify the business-side application and redeploy it, and it can take effect online. For the extension and change of business rules on the business side, only the pipeline needs to be modified, and there is no need to redeploy the business-side application.

The invention provides a vehicle test information architecture construction method and device, equipment and a storage medium, and the method comprises the steps: obtaining a natural language business demand description inputted by a user; performing intention recognition and entity extraction on the natural language service demand description to obtain a service target; defining a service architecture based on the service target, the service architecture comprising at least one service object and attributes of each service object; and mapping the business objects in the business architecture into the logic entities, and mapping the attributes of the business objects into the fields of the corresponding logic entities so as to construct the information architecture. By adopting the method, the construction efficiency and suitability of the information architecture are improved.

The invention provides a demand priority determination method and device, equipment, a storage medium and a program product, can be applied to the technical field of artificial intelligence, relates to business architecture, and can be applied to the field of financial science and technology. The method comprises the following steps: acquiring demand investigation information; on the basis of a natural language processing technology, a demand matrix is generated according to demand investigation information, and the demand matrix comprises m demand points, the initial weight of each demand point, the mention frequency corresponding to each demand point, the number of related users and semantic criticality obtained through calculation according to the initial weight, the mention frequency and the number of the related users; m is an integer greater than or equal to 1; according to the demand investigation information and m demand points in the demand matrix, utilizing an emotion analysis algorithm to calculate the emotion intensity of each demand point; calculating the comprehensive weight of each demand point according to the semantic criticality and emotion intensity of each demand point; and determining the priorities of the m demand points according to the sorting of the comprehensive weights of the m demand points. The invention further provides a method.

This invention discloses an efficiency improvement method for digital management of government and enterprises, relating to the field of big data analytics. The method includes: S1, establishing a business architecture interaction data synchronization network for various project types within the government and enterprise, marking the execution processes of transaction logs for each project type, generating a dynamic permission network for business architecture interaction for each project type, verifying the dependencies between each transaction execution process under the dynamic permissions of the business architecture, assigning priorities to transaction execution processes, determining the initial resource allocation for each project type, establishing a resource allocation benefit evaluation model for each project type, and generating the optimal resource allocation scheme for each project type. The beneficial effects of this invention are: significantly improving the systematicness and adaptability of digital management for government and enterprises, and providing a holistic solution that balances compliance and efficiency for complex business scenarios.

The invention relates to a task-driven engine system, and belongs to the technical field of task management. The business architecture of the system comprises a task configuration layer, a task execution layer and a task statistics layer, the task configuration layer completes classification of various tasks and customization of task templates through modules in the task configuration layer, the task execution layer completes issuing, execution and tracking of the tasks through modules in the task execution layer, and the task statistics layer completes analysis and statistics of the tasks. According to the method, task driving is taken as a core, a customized task template is created, task detail contents are clarified, complex work is granulated, a complicated process is detailed, issuing, execution, tracking, reminding and statistical closed-loop management are realized, work items are prevented from being missed, an item which should be made at present is quickly and accurately found in fixed time, the time management capability of a user is improved, and the user experience is improved. The workload is reduced, the working quality is improved, and the working efficiency is enhanced.

The invention discloses a big data analysis-based farmer market intelligent supervision system, and relates to the field of data analysis, and the system comprises a farmer market supervision center which comprises a market data collection module, an agricultural trade data management module, an agricultural trade data traceability module, a transaction information analysis module and a data enabling and sharing module; the market data acquisition module is used for acquiring historical market data and real-time market data; the agricultural trade data management module is used for constructing a business architecture model and a corresponding supervision analysis model according to historical market data; the agricultural trade data traceability module is used for storing the real-time market data into the business architecture model and setting a traceability sharing scheme; the transaction information analysis module is used for acquiring transaction evaluation data and order evaluation data according to the supervision analysis model; the data enabling and sharing module is used for acquiring comprehensive evaluation data and performing enabling and sharing processing; according to the invention, the information source accuracy and the traceability data transparency degree are improved.

This invention relates to the field of educational resource management technology and discloses an information management method based on an academic affairs management system, including: collecting atomic logs to generate an academic affairs event sequence; comparing frequency distributions to calculate state deviation values; constructing a resource association logic graph and determining business pressure characteristics; calculating the conflict intensity coefficient of each node to identify bottleneck nodes; determining resource constraint release paths and updating node topology relationships based on logical dependency boundaries. This invention effectively avoids the risk of local congestion in static threshold judgment by establishing a mapping mechanism between business load and topology conflict, improves the allocation accuracy of teaching resources in a high-concurrency environment, and achieves stable self-healing of the business architecture by using closed-loop monitoring logic.

The invention discloses a service architecture information processing method and system and a storage medium, and relates to the technical field of data management. The service architecture information processing method comprises the steps that in response to a first external control operation, current service architecture information is obtained from a service architecture management system through a preset data interface, and the preset data interface is used for being in butt joint with the service architecture management system; generating a data asset directory according to the current service architecture information; performing data analysis on the current service architecture information based on the data asset directory to obtain an analysis result; persistently storing the analysis result in a preset storage space; and in response to a second external control operation, selecting the to-be-displayed data content from the analysis result stored in the preset storage space, and displaying the to-be-displayed data content in the display window. According to the invention, the technical problem of low data governance efficiency caused by lagging of information architecture updating and incapability of responding to business architecture changes in time in the prior art is solved.

The invention provides a demand compiling method which can be applied to the technical field of artificial intelligence, and particularly relates to the fields of business architecture, big data technology, machine learning technology and the like. The method comprises the steps of determining target business model information related to demand design information from existing business model information according to the demand design information in response to the received demand design information related to a business demand to be compiled; inputting the target business model information into a risk point pushing model, and generating target risk check point information related to the target business model information; and integrating the target business model information and the target risk check point information to obtain a business demand book which is automatically compiled for the demand design information. The invention further provides a demand compiling device, electronic equipment and a storage medium.

The invention discloses an efficiency improvement method for government and enterprise digital management, and relates to the technical field of big data analysis, and the method comprises the steps: S1, building a business architecture interaction data synchronization network of each project type of a government and enterprise, marking a transaction log execution process of each project type of the government and enterprise, generating a business architecture interaction dynamic permission network of each project type of the government and enterprise, verifying a dependency relationship between transaction execution processes under the dynamic permission of the business architecture, endowing the transaction execution processes with priorities, and determining initial resource allocation of the transaction execution processes of each project type of the government and enterprise; and establishing a resource allocation income evaluation model of each project type of the government and enterprise, and generating an optimal resource allocation scheme of each project type of the government and enterprise. The method has the advantages that systematicness and adaptability of government and enterprise digital management are remarkably improved, and an overall solution considering compliance and efficiency is provided for complex business scenes.

1. Name of the product in this design: Graphical User Interface for Business Ordering of Electronic Devices. 2. Application of this design: This design is intended for use in electronic devices. 3. The key design features of this product are the graphical user interface content displayed on the electronic device. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Used for displaying the business order interface. 6. Human-Computer Interaction Method of Graphical User Interface: The main view displays the business ordering interface. The left half of the interface displays historical dialogue records, and the right half displays a real-time dialog box between the user and Artificial Intelligence (AI). The user enters their business ordering requirements in the real-time dialog box (e.g., "Our company needs to customize an intelligent monitoring system to monitor office buildings and the surrounding area in real time, detect and handle security risks, and ensure the safety of the park. Are there any suitable intelligent video service solutions?" as shown in Figure 1). After entering the interface state change, Figure 1 is displayed. In Figure 1, the interface displays a reply bar and a real-time dialog box. The reply bar displays the business details replied by AI based on the business ordering requirements. The user enters the specific ordering content in the real-time dialog box (e.g., "Okay, I choose 200 high-definition cameras, a 500M dedicated internet line, and high-definition camera video storage for 7 days" as shown in Figure 1). After clicking "...", the interface transitions to state 2. In state 2, the product information bar is displayed on the right side of the interface, showing product order information. Clicking the edit button above the product information bar leads to state 3. In state 3, after editing the product information in the product information bar, clicking anywhere in the middle area of ​​the interface leads to state 4. In state 4, the business architecture diagram is displayed in the middle area. Clicking the edit button in the middle area leads to state 5. In state 5, clicking the confirm button in the middle area leads to state 6. In state 6, clicking "Query Details" leads to state 7. In state 7, the order details for the current order are displayed, including the business instance module, monitoring information, scheduling information, business architecture topology module, and all instance module. Scrolling down the interface leads to state 8. 7. Other situations requiring explanation: In each view, "xx" represents variable text and / or numbers.

The embodiment of the invention provides a business scheme determination method and device, equipment, a storage medium and a program product, and relates to the field of artificial intelligence, in particular to application of a large model in the fields of financial science and technology and business architecture. The method comprises the following steps: based on a service keyword of a target service, retrieving a service associated document from a multi-modal knowledge base; based on the service association document and a pre-trained optimization item prediction model, determining an optimization list of the target service, the optimization list comprising at least one item to be optimized and an optimization value thereof; and generating a business scheme of the target business based on the optimization list of the target business. By integrating the strong capabilities of the multi-modal knowledge base and the model, the method of the invention can realize intelligent fusion of cross-modal data and automatic generation of the business scheme, can comprehensively cover data in the multi-modal knowledge base, further accurately matches the demand of a target business, and significantly improves the comprehensiveness and accuracy of the business scheme.

The invention provides an informatization project comprehensive management method and system based on big data analysis, and the method comprises the steps: carrying out the intention analysis based on the obtained project earlier-stage demand data submitted by a user, obtaining the current project intention, comparing the current project intention with the project intention in historical project data, and obtaining a project duplicate checking report; carrying out novelty analysis based on the project duplicate checking report to obtain an analysis result, and if the analysis result shows that novelty reaches the standard, carrying out compliance verification on the earlier-stage demand data of the current project based on a pre-constructed management investment strategy form in combination with business architecture data and application architecture data corresponding to the current project to obtain a verification result; and if the verification result is successful, performing conflict identification on the project duplicate checking report based on the resource occupation data, the construction period data and the technical architecture data of the historical project to obtain a project conflict type and an associated historical project identifier. According to the invention, efficient, accurate and dynamic integrated management of informatization projects is realized.

The invention discloses a business demand standardization processing method and device, a storage medium and electronic equipment. The method comprises the steps of obtaining service information of a full life cycle of a target service; inputting the business information into a preset standardized processing system, determining a core business process and a business management process based on the business information related to the whole life cycle of the business, and identifying and processing plan references and historical actual execution result differences of the core business process and the business management process to determine business core logic; the business framework corresponding to the business core logic is disassembled to obtain a business management activity and a management object, the business management activity and the management object and a business application scene are respectively mapped to corresponding dimensions of a three-dimensional demand coordinate system, a structured business demand is generated, and a demand model, a logic model, a structure model and a framework model are constructed based on the structured business demand and then integrated; and analyzing and processing the business information of the target business through the standardized processing system, and outputting a standardized demand result of the target business.

The invention discloses a product recommendation method and device, equipment, a medium and a program, and relates to the application of the artificial intelligence field in the business architecture and financial science and technology fields, and the method comprises the steps: after receiving a product recommendation request of a target user, extracting the fluctuation level characteristics of the user from a database according to a user identifier, and preliminarily screening a matched candidate product set; and jointly inputting the user features and the product features into a pre-trained distributed recommendation model to obtain a prediction score of each product. And generating an initial recommendation list according to the score, and retrieving a fluctuation level corresponding to each product in the list. And submitting the initial list, the user fluctuation level and the product fluctuation level to a rule engine, performing joint screening according to multiple fluctuation level constraints, generating a final recommendation result, and returning a response. According to the embodiment of the invention, the recommendation efficiency is improved through distributed model deployment, and the service compliance is enhanced while the recommendation accuracy is ensured by combining double-fluctuation-level risk control and rule engine screening.

The present application relates to an application commissioning information processing method, device, computer equipment, storage medium and computer program product. The application commissioning information processing method of the present application relates to the business architecture field, financial technology field or other related fields. The method comprises: in response to the commissioning information creation operation, obtaining the target commissioning scope of the current commissioning task; determining the first commissioning information according to the business architecture change content and the first information conversion model; the first commissioning information is used to characterize the business commissioning content corresponding to the business architecture model in the current commissioning task; determining the second commissioning information according to the business architecture change content and the second information conversion model; combining the target commissioning scope, the first commissioning information, and the second commissioning information to generate the target commissioning information corresponding to the current commissioning task. The use of this method can quickly and efficiently automatically generate application commissioning information based on the business architecture model and the system architecture model, thereby improving the efficiency of information processing.

The application provides a water supply enterprise digital transformation method based on a TOGAF framework, which comprises the following steps: adopting the TOGAF framework to sort out business processes of a water supply enterprise, obtaining a business process list, constructing a CRE business architecture framework, the CRE business architecture framework comprising a water vein overall planning layer, a water network hub layer and a water intelligence engine layer, obtaining a basic business architecture, constructing a customer demand list, associating demand entries of the customer demand list to corresponding process nodes of a three-level process set, generating a transmission path according to a dependency relationship between nodes and data flow conversion logic, obtaining an end-to-end business process view, constructing a three-dimensional value evaluation model, forming a target business architecture, designing an application architecture based on the target business architecture and a double-engine architecture framework, designing a data architecture based on a target application architecture blueprint, designing a technical architecture based on the target application architecture blueprint and the data architecture, and providing a scientific basis for digital transformation of the water supply enterprise.

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.

This disclosure provides a version analysis method based on business architecture, applicable to the field of computer technology. The method includes: acquiring a software document to be tested; extracting a first identifier and a first information technology service from the software document to form a first mapping relationship between the first identifier and the first information technology service; acquiring a code mapping relationship based on a preset association relationship between an information technology architecture model and a business architecture model and the first mapping relationship, wherein the code mapping relationship includes a mapping relationship between the first identifier and the first business architecture model; acquiring a requirement mapping relationship, wherein the requirement mapping relationship includes a mapping relationship between a second identifier and a second business architecture model; and comparing the code mapping relationship and the requirement mapping relationship to calculate a matching rate. This disclosure also provides a version analysis device, equipment, storage medium, and program product based on business architecture.

The invention provides a product design demand analysis method and device, equipment and a storage medium, relates to the field of business architecture, and can be applied to the technical fields of artificial intelligence, big data and the like. The method comprises the steps of generating an analysis instruction under the condition that a description text of a to-be-designed product is input into a text input box of a demand analysis platform; retrieving from a database to obtain target product related information matched with the keyword in the description text; when it is determined that the matching degree of the keyword and the target product model information is greater than a first threshold value and the association degree of the target product model information and the target design constraint information is greater than a third threshold value, determining that the product landing form of the to-be-designed product is a first landing form that the to-be-designed product is online through parameter configuration; and generating a product design demand analysis result according to the target product model information and the first landing form.