Digital twin system construction method and system based on enterprise management information

Abstract

The invention relates to a digital twin system construction method and system based on enterprise management information, and the method comprises the steps: a data convergence layer of the system is used for collecting multi-source heterogeneous data related to a management system, carrying out the integration and modeling of the collected data, and obtaining a management data center; the twin layer management comprises a data forwarding service, a data analysis service, a tool service and a digital layer management service; the data forwarding service is used for forwarding specified management data of the management data center; the data analysis service is used for querying and / or analyzing a specified index; the tool service is used for providing various tool modules; the management digital graph layer service is used for displaying a logic graph and a dynamic state graph of the management system in a linkage manner; and the management application layer is used for operating various digital management application scenes constructed according to the service provided by the management twin layer. According to the method, structured expression of a management system, one-time packaging and multi-position multiplexing of capability service and low-code rapid construction of a business scene can be realized.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method and system for constructing a digital twin system based on enterprise management information. Background Technology

[0002] With the deepening trend of digital transformation, enterprises are placing higher demands on the responsiveness, flexibility, and lean operation capabilities of their management systems. However, the current construction of enterprise management systems still mainly relies on static forms such as policy documents, process designs, and organizational responsibility statements, lacking deep integration with digital systems. These management elements mostly exist in unstructured forms such as documents and charts, scattered in policy texts, standards and specifications, process manuals, job descriptions, etc., making it difficult to achieve standardized modeling and system integration, resulting in management systems that are "built but not operational." Summary of the Invention

[0003] This application addresses the aforementioned shortcomings or deficiencies by providing at least one method and system for constructing a digital twin system based on enterprise management information.

[0004] This application provides a digital twin system based on enterprise management information, according to the first aspect. The digital twin system includes a data aggregation layer, a management twin layer, and a management application layer. The data aggregation layer is used to connect with multiple business systems to collect multi-source heterogeneous data related to the management system, integrate and model the collected data to obtain a unified management data center. The management twin layer includes data forwarding services, data analysis services, tool services, and management digital layer services obtained by service-oriented encapsulation and publishing of data from the management data center. The data forwarding service is used to forward specified management data from the management data center. The specified management data includes management element information, process instance information, and business form information. The data analysis service is used to query and / or analyze specified indicators. The specified indicators include operational indicators, performance indicators, and governance indicators. The tool service provides various tool modules, including process modeling tools, rule configuration tools, and data analysis tools. The management digital layer service is used to present the logical diagram and dynamic state diagram of the management system in a linked manner. The management application layer is used to run various digital management application scenarios, which are constructed based on the services provided by the management twin layer.

[0005] In some embodiments, the data in the management data center includes model data, management operation data, indicator data, and unstructured data; model data includes strategic planning data, management system data, and enterprise architecture data; management operation data includes process definition data, process instance data, and process task data; indicator data includes indicator system architecture data, indicator design content, and indicator result data; and unstructured data includes management policy documents, system documents, and standard flowcharts.

[0006] In some embodiments, the data aggregation layer performs operations to integrate and model the collected data, including: sorting out the conceptual entities contained in model data, management operation data, indicator data and unstructured data and their sources; and constructing the relationships between the conceptual entities in model data, management operation data, indicator data and unstructured data.

[0007] In some embodiments, the data forwarding service provides the ability to forward specified management data to internal or external systems of the digital twin system via an application programming interface or a dataset.

[0008] In some embodiments, the management digital layer service includes a static layer module and a dynamic layer module; the static layer module is used to display structured information about enterprise strategy, management system, enterprise architecture and business processes based on model data and unstructured data; the dynamic layer module is used to display the dynamic operating status of plan progress, approval process, event closure and risk situation based on management operation data and indicator data.

[0009] In some embodiments, multiple digital management application scenarios include one or more of the following: management system display scenario, value stream analysis scenario, thematic process mining scenario, and operational analysis scenario.

[0010] In some embodiments, the management system display scenario calls data forwarding services and management digital layer services to display element information related to the management system, enterprise architecture, and business processes, as well as the relationships between these elements, and to correlate the actual operational status of the system processes; the value stream analysis scenario calls data analysis services to dynamically monitor the process indicators of each operational-level process in each end-to-end process obtained from the value stream decomposition, and to perform dynamic analysis based on the monitoring results to identify bottlenecks and breakpoints in the value stream; the thematic process mining scenario calls data analysis services and tool services to identify process deviation information based on process operation logs and process instance data, including execution deviations, abnormal process paths, and critical nodes; and the operational analysis scenario calls data analysis services to obtain key indicator data for each business unit and management system, and to perform enterprise management and operational diagnostic analysis based on the current values, historical changes, and evolution trends of the key indicator data, and to dynamically adjust target management activities and target control strategies based on the diagnostic analysis results.

[0011] This application provides a method for constructing a digital twin system based on enterprise management information, according to the second aspect. The method includes: creating a management data center, which interfaces with multiple business systems to collect multi-source heterogeneous data related to the management system; integrating and modeling the collected data; the data in the management data center includes model data, management operation data, indicator data, and unstructured data; encapsulating and publishing the data in the management data center as a service to obtain data forwarding services, data analysis services, tool services, and management digital layer services; the data forwarding service is used to forward specified management data from the management data center; the specified management data includes management element information, process instance information, and business form information; the data analysis service is used to query and / or analyze specified indicators; the specified indicators include operational indicators, performance indicators, and governance indicators; the tool service provides various tool modules, including process modeling tools, rule configuration tools, and data analysis tools; the management digital layer service is used to present the logical diagram and dynamic state diagram of the management system in a linked manner; and constructing various digital management application scenarios based on the data forwarding service, data analysis service, tool service, and management digital layer service.

[0012] According to a third aspect, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the digital twin system construction method based on enterprise management information in the above embodiments.

[0013] According to a fourth aspect, this application provides a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, which, when executed by the processor, implements the steps of the method for constructing a digital twin system based on enterprise management information in the above embodiments.

[0014] In the above embodiments of this application, a data aggregation layer is used to unify and model multi-source heterogeneous data related to the management system to form a management data center, thereby transforming the management system into a standardized, computable structured object. A management twin layer is used to encapsulate the data in the data aggregation layer into service-oriented units such as data forwarding services, data analysis services, tool services, and management digital layer services, achieving one-time encapsulation of capability services. The management application layer directly orchestrates the encapsulated services in the management twin layer, without the need to redevelop data access or algorithm logic, thus completing the construction of various digital management application scenarios. Ultimately, this achieves a structured expression of the management system, one-time encapsulation of capability services for multiple reuse, and low-code rapid construction of business scenarios, allowing the management system to "move" after it is built. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of a digital twin system based on enterprise management information in one or more embodiments of this application; Figure 2 This is a schematic diagram of data partitioning in one or more embodiments of this application; Figure 3 This is a flowchart illustrating a digital twin system method based on enterprise management information, as described in one or more embodiments of this application. Figure 4 This is a schematic diagram of the internal structure of a computer device according to one or more embodiments of this application. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the described embodiments are merely some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0017] In the following description, when referring to the accompanying drawings, the same numbers in different drawings denote the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0018] In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0019] Currently, key elements in management systems, such as objects, rules, processes, and indicators, generally exist in unstructured forms like documents and tables. The lack of a unified modeling language and standards hinders logical mapping and dynamic management within the system, preventing the embedding of policy requirements into business execution processes. Furthermore, current enterprise management information systems are often built piecemeal along business lines, resulting in loose interfaces, inconsistent standards, and a lack of a holistic planning and integration platform centered on the management system. This leads to fragmented development, redundant construction, dispersed resource investment, high maintenance costs, and an inability to meet the comprehensive needs of the management system across its entire lifecycle, multiple scenarios, and cross-departmental operations. In addition, existing management system construction still ends with policy issuance, lacking effective problem feedback mechanisms, data analysis capabilities, and logic for generating optimization suggestions. Issues such as indicator deviations, process bottlenecks, and rule failures arising during operation lack system identification and dynamic correction capabilities, hindering the management system's continuous iteration and proactive adaptation to environmental changes, thus restricting the organization's management evolution capabilities.

[0020] To address the shortcomings of related technologies, this application provides a digital twin system based on enterprise management information in its first aspect. This system enables structured representation of the management system, one-time encapsulation of capability services for reuse in multiple locations, and low-code rapid construction of business scenarios. The system is described in detail below.

[0021] In some embodiments, such as Figure 1 As shown, the digital twin system includes a data aggregation layer 10, a management twin layer 20, and a management application layer 30. The descriptions of each layer are explained below.

[0022] Data aggregation layer 10 is used to connect with multiple business systems to collect multi-source heterogeneous data related to the management system, integrate and model the collected data to obtain a unified management data center.

[0023] Data aggregation layer 10 includes a management data center, which can specifically be the IV zone data center of the power grid enterprise. I / II / III / IV / V is an information security zoning concept for power grid enterprises, where IV zone refers to the management information zone, which is the area of ​​the enterprise's internal management information system, belonging to the intranet zone, focusing on production information management. This embodiment can use the existing IV zone data center of the power grid enterprise as the foundation to construct data aggregation layer 10. Data aggregation layer 10 can uniformly aggregate core element data involved in the management system, such as organizational structure, business processes, rules and regulations, and key indicators, thereby obtaining a unified base database of multi-source heterogeneous management data (i.e., the management information basic database of IV zone), providing high-quality data support for upper-layer modeling, analysis, and application. Specifically, data aggregation layer 10 will interface with multiple business systems, and different business systems can provide different management-related data to data aggregation layer 10.

[0024] In some embodiments, the data in the management data center includes model data, management operation data, indicator data, and unstructured data. In this embodiment, the digital twin system uniformly divides management-related data into four categories: model data, management operation data, indicator data, and unstructured data, thereby achieving element-based expression and structured accumulation of the entire management system process. Model data includes three main categories: strategic planning data, management system data, and enterprise architecture data. Specifically, it includes data such as strategic objectives, management modules, management capabilities, business capabilities, process steps, business rules, and indicator lists. This data can provide metadata support for system modeling. Management operation data records the system's operational trajectory and behavioral data, which can be divided into process operation data and business object data. Process operation data includes process definition data (such as process templates), process instance data (such as process operation records), and process task data (such as status information of each node in the process). Business object data includes work order information, manually entered data, and archive information. Indicator data includes indicator system structure data, indicator design content, and indicator result data. Based on this data, multi-layered quantitative management of indicators can be achieved from strategy to process, and from position to system. The structured data of the indicator system can include company-level indicators, business-level indicators, job-level indicators, and technical-level indicators. Unstructured data includes management policy documents, system documents, and standard flowcharts. Unstructured data serves as the textual basis and semantic supplement for structured modeling, ensuring that the model system has the legality of regulations and the integrity of business logic.

[0025] Based on this, the data aggregation layer performs operations to integrate and model the collected data, which may include: sorting out the conceptual entities contained in model data, management and operation data, indicator data and unstructured data and their sources; and constructing the relationships between the conceptual entities in model data, management and operation data, indicator data and unstructured data.

[0026] The results of the analysis of model data, management and operation data, indicator data, and unstructured data can be found in [link to relevant documentation]. Figure 2 As shown, Figure 2 The first layer from bottom to top consists of various business systems, and the second layer consists of data provided by each business system to the data aggregation layer 10. For example, the process engine can provide process definition information, process instance information, and process task information, while the power grid management platform can provide management system data.

[0027] The management twin layer 20 includes data forwarding service 201, data analysis service 202, tool service 203, and management digital layer service 204, which are obtained by encapsulating and publishing data from the management data center in a service-oriented manner.

[0028] The management twin layer 20 is used to merge the data gathered by the data aggregation layer 10 and share four types of capabilities: data forwarding, data analysis, tools, and management of digital layers, in order to support the development of various application scenarios.

[0029] Data forwarding service 201 is used to forward specified management data for the management data center.

[0030] Data forwarding service 201 can provide services to internal or external systems of a digital twin system. The data forwarding service can provide the ability to forward specified management data to internal or external systems of the digital twin system through application programming interfaces (APIs) or datasets. Specified management data includes management element information, process instance information, and business form information.

[0031] Data analytics service 202 is used to query and / or analyze specified metrics, including operational metrics, performance metrics, and governance metrics.

[0032] Data analytics service 202 interfaces with the indicator platform, which includes indicator information for various management-related metrics. The data for the indicator platform can be obtained from the data aggregation layer 10. Data analytics service 202 can provide services to internal or external systems of the digital twin system. It supports internal and external systems in conducting business management effectiveness analysis and insights by providing unified query and analysis services for operational, performance, and governance indicators.

[0033] Tool service 203 provides a variety of tool modules.

[0034] Tool Service 203 integrates various tool modules, such as process modeling tools, rule configuration tools, and data analysis tools. Tool Service 203 can provide services to the internal workings of a digital twin system. For example, users can leverage the tool modules provided by Tool Service 203 to build applications that meet their own business needs.

[0035] The management digital layer service 204 is used to link and present the logical diagram and dynamic status diagram of the management system.

[0036] The Management Digital Layer Service 204 can visualize and structure elements such as management objects, capabilities, processes, and indicators, thereby enabling the linked presentation of the management system's logical diagram and dynamic status diagram.

[0037] In some embodiments, the management digital layer service 204 includes a static layer module and a dynamic layer module. The static layer module is used to display structured information about enterprise strategy, management system, enterprise architecture, and business processes based on model data and unstructured data. The dynamic layer module is used to display the dynamic operational status of plans, approval processes, event closures, and risk situations based on management operation data and indicator data.

[0038] The management application layer 30 is used to run various digital management application scenarios, which are built based on the services provided by the management twin layer.

[0039] These various digital management application scenarios can include one or more of the following: management system display scenario, value stream analysis scenario, thematic process mining scenario, and operational analysis scenario.

[0040] In some embodiments, four core scenarios can be constructed for practical management applications: management system display scenario, value stream analysis scenario, thematic process mining scenario, and operational analysis scenario. This enables a comprehensive understanding of the management operation status, problem identification, and continuous optimization. The descriptions of each scenario are as follows: The management system display scenario is used to call data forwarding services and manage digital layer services to display information on elements related to the management system, enterprise architecture and business processes, as well as the relationships between these elements, and to associate the actual operation status of the system processes.

[0041] Value stream analytics is used to invoke data analytics services to dynamically monitor process metrics of each operational-level process in each end-to-end process derived from the value stream. Based on the monitoring results, dynamic analysis is performed to identify bottlenecks and breakpoints in the value stream.

[0042] Thematic process mining scenarios are used to invoke data analysis services and tools to identify process deviation information based on process execution logs and process instance data. Process deviation information includes execution deviations, abnormal process paths, and critical nodes. For example, based on process execution logs and process instance data, it checks for records of deviations from the process execution baseline, such as management work not being carried out according to the process, abnormal rollback of process documents, and abnormal time consumption of individual process nodes, and performs analysis and problem identification.

[0043] Operational analysis scenarios are used to invoke data analysis services to obtain key indicator data from various business units and management systems. Based on the current values, historical changes, and evolution trends of these key indicator data, enterprise management and operational diagnostic analysis is conducted. The results of this diagnostic analysis are then used to dynamically adjust target management activities and target control strategies. For example, taking "fault repair" as an example, the management data center automatically collects process data related to "fault repair" from the BPMS process engine of the power grid management platform. The collected raw process data is then modeled and processed, and the modeling and processing results can be stored in a pre-built process analysis wide table. Next, the "fault repair" process operation is restored. Specifically, this can involve invoking the process visualization tool service provided by the management twin layer, restoring and visualizing the process based on the data in the relevant process analysis wide table. Simultaneously, "fault repair" process operation analysis is also performed, which may include: 1) invoking the process mining tool provided by the management twin layer to analyze process bottlenecks by calculating and comparing the average time of each step. For example, if the fault assessment time of a step exceeds a preset 16%, then that step is marked as a key bottleneck in the "fault repair" process. 2) By linking detailed information such as business forms at each stage, root cause analysis can be conducted on critical events such as process bottlenecks. For example, by comparing and analyzing the fault reports, system analysis results, and manual analysis results for "fault assessment," and assuming that the analysis results show that the bottleneck is caused by "some meters not reporting to the metering system, resulting in missed fault reports, which easily leads to misjudgments by the system, and the efficiency of forwarding to manual judgment is low," then root cause analysis can identify areas for improvement in metering equipment management capabilities. This operation can help locate problems such as invalid business rules and low employee execution efficiency, providing a clear direction for improving management capabilities.

[0044] In order to promote the transformation of the management system of power grid enterprises from static design to dynamic operation, this embodiment draws on the construction concept of the new power system digital twin platform and constructs a digital twin system based on enterprise management information. The digital twin system is constructed in a three-layer architecture from bottom to top, following the overall path of "data aggregation - integrated service - business application", namely data aggregation layer 10, management twin layer 20 and management application layer 30, thereby realizing the digital carrying and dynamic operation support of the management system.

[0045] Specifically, this application integrates and models multi-source heterogeneous data related to the management system through the data aggregation layer 10 to form a management data center, thereby transforming the management system into a standardized, computable structured object. Through the management twin layer 20, the data in the data aggregation layer is encapsulated into services, forming callable units such as data forwarding service 201, data analysis service 202, tool service 203, and management digital layer service 204, realizing one-time encapsulation of capability services. Through the management application layer 30, the encapsulated services in the management twin layer are directly orchestrated, and various digital management application scenarios can be constructed without redeveloping data access or algorithm logic. Ultimately, the structured expression of the management system, one-time encapsulation of capability services for multiple reuse, and low-code rapid construction of business scenarios are realized, allowing the management system to "move" after it is built.

[0046] The second aspect of this application also provides a method for constructing a digital twin system based on enterprise management information. In some embodiments, such as... Figure 3 As shown, the method includes: S110: Create a management data center to connect with multiple business systems to collect multi-source heterogeneous data related to the management system, and integrate and model the collected data.

[0047] This embodiment uses a unified modeling language and digital layer construction method to structure and model key elements such as management objects, rules, processes, and indicators that originally existed in unstructured forms such as documents and tables. This solidifies the above key elements into standard data units within the digital twin system, making the management system transparent, semantically unified, and logically clear.

[0048] The data in the data center includes model data, management and operation data, indicator data, and unstructured data.

[0049] S120: Service-oriented encapsulation and publishing of data from the management data center to obtain data forwarding services, data analysis services, tool services, and management digital layer services. Data forwarding services are used to forward specified management data from the management data center; this data includes management element information, process instance information, and business form information. Data analysis services are used to query and / or analyze specified indicators; these indicators include operational indicators, performance indicators, and governance indicators. Tool services provide various tool modules, including process modeling tools, rule configuration tools, and data analysis tools. Management digital layer services are used to interactively present the logical diagram and dynamic status diagram of the management system.

[0050] This embodiment can build a unified service platform based on enterprise middleware technology capabilities. This service platform can provide general data service capabilities such as data forwarding and data analysis services to internal or external systems of the digital twin system. Furthermore, it also includes tool services and digital layer management services, which enable the visualization, analysis, and reusability of management elements. This service platform can meet the diverse business scenario needs of managers through a unified, efficient, and reliable data service delivery model.

[0051] Specifically, the construction of the service platform can include multiple parts such as data access, data processing, service integration, unified service registration and publishing, and service provision. Data access refers to the unified traceability and access operation of data from source business systems by connecting to the management data center for data forwarding and data processing services. Data processing refers to the unified processing of data from the management data center according to data analysis needs, forming a management data mart. Service integration refers to the abstraction, standardization, and unified management of various capabilities of data forwarding services, data analysis services, tool services, and management digital layer services within the power grid enterprise's application platform. Unified service registration and publishing refers to the registration and publishing of various services through the application platform, generating a service catalog. Service provision means that business departments or management scenarios can call these services through the service platform to achieve cross-system and cross-process capability reuse and integration, thereby supporting the power grid enterprise's digital operation and digital twin display.

[0052] When building tool services, it is necessary to integrate a variety of tool modules, such as process modeling tools, rule configuration tools, and data analysis tools, so that users can build applications using the tool modules provided by the tool services according to their own business needs.

[0053] The management digital layer service is used to display the static model and dynamic operation of enterprise management, enhancing the visualization capabilities of the static structure and dynamic operation of enterprise management, and supporting the unified and realistic reproduction of various business management scenarios. The management digital layer includes static layers and dynamic layers. Static layers are used to display structured information such as enterprise strategy, management system, enterprise architecture, and business processes, representing the "blueprint" of enterprise management. Dynamic layers are used to display the operational status of various management activities, such as plan progress, approval processes, event closure, indicator completion, and risk status, representing the "operational state" of enterprise management.

[0054] S130: Construct various digital management application scenarios based on data forwarding services, data analysis services, tool services, and management digital layer services.

[0055] Digital management application scenarios take end-to-end processes as input, and their construction process can include: (1) Match the corresponding value stream, management system, enterprise architecture and operational process information based on the end-to-end process information to complete the sorting out of core management element information.

[0056] (2) Organize the operational information related to the operational process. Taking the scenario of "the whole process from the occurrence of a fault to the restoration of power supply" as an example, we can organize the workflow and specific work links such as "fault discovery, fault dispatch, fault receipt and location, fault location and isolation, and fault repair", identify roles such as "power supply station repair personnel", and determine business systems such as "production command system and equipment center".

[0057] (3) Conduct data tracing and access. Specific operations may include tracing relevant data and system operation data in the enterprise architecture management system, power grid management platform, etc., based on core management element information and business system operation information, and accessing these data to the management data center.

[0058] (4) Call the tool service and management digital layer service of the service platform to visualize and restore the actual operation process.

[0059] (5) Use the management data center to collect management data in real time, and use the process mining and analysis tools provided by the service platform to perform operations such as process operation indicator calculation and abnormal indicator warning.

[0060] (6) Analyze the actual operation process and combine the mapping results of the actual operation process with the enterprise structure and management system to achieve the analysis of the implementation of the management system and the continuous optimization of management capabilities.

[0061] This embodiment draws on the construction concept of a new power system digital twin platform to build a digital twin system based on enterprise management information. Following the overall path of "data aggregation - integrated services - business applications," this digital twin system constructs a three-layer architecture from bottom to top: the data aggregation layer 10, the management twin layer 20, and the management application layer 30 involved in the above embodiment. This enables the digital support and dynamic operation of the management system.

[0062] Specifically, in creating the management data center, this embodiment integrates and models multi-source, heterogeneous data related to the management system into various predefined data types, such as model data, management operation data, indicator data, and unstructured data. This transforms the originally discrete elements of the management system into unified, computable data objects, thereby achieving a structured expression of the management system. Based on the management data center, this embodiment encapsulates and publishes the data in the management data center as services, resulting in four types of services: data forwarding services, data analysis services, tool services, and management digital layer services. These services can exist as interfaces and can be called multiple times without repeated development, thus achieving one-time encapsulation and multiple reuse of capability services. Finally, this embodiment also constructs various digital management application scenarios based on the data forwarding services, data analysis services, tool services, and management digital layer services. When constructing these scenarios, only the encapsulated service interfaces need to be orchestrated; there is no need to rewrite operational logic such as data access, analysis algorithms, and visualization, thereby achieving low-code and rapid construction of business scenarios.

[0063] For specific limitations on the construction method of digital twin systems based on enterprise management information, please refer to the limitations on digital twin systems based on enterprise management information mentioned above, which will not be repeated here.

[0064] It should be noted that, regarding the steps included in the digital twin system construction method based on enterprise management information provided in any of the above embodiments, unless otherwise explicitly stated herein, there is no strict order restriction on the execution of these steps; they can be executed in other orders. Furthermore, at least some of these steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is also not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0065] This application also provides a computer device. In some embodiments, the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can implement the steps of the digital twin system construction method based on enterprise management information provided in any of the above embodiments.

[0066] In some embodiments, the internal structure diagram of a computer device may be as follows: Figure 4As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data related to the management system, and the specific data stored can be further defined in the above method embodiments. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for constructing a digital twin system based on enterprise management information.

[0067] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0068] This application also provides a computer-readable storage medium, in some embodiments of which a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the steps of the digital twin system construction method based on enterprise management information provided in any of the above embodiments.

[0069] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0070] Those skilled in the art will understand that implementing all or part of the processes in the above method embodiments can be accomplished by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), Synchlink, DRAM (SLDRAM), memory bus, direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0071] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0072] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A digital twin system based on enterprise management information, characterized in that, The digital twin system includes a data aggregation layer, a management twin layer, and a management application layer; The data aggregation layer is used to connect to multiple business systems to collect multi-source heterogeneous data related to the management system, integrate and model the collected data, and obtain a unified management data center. The management twin layer includes data forwarding services, data analysis services, tool services, and management digital layer services obtained by encapsulating and publishing data from the management data center in a service-oriented manner. The data forwarding service is used to forward designated management data from the management data center; the designated management data includes management element information, process instance information, and business form information. The data analysis service is used to query and / or analyze specified indicators; the specified indicators include operational indicators, performance indicators, and governance indicators. The tool service provides a variety of tool modules, including process modeling tools, rule configuration tools, and data analysis tools. The management digital layer service is used to link and present the logical diagram and dynamic status diagram of the management system; The management application layer is used to run various digital management application scenarios, which are constructed based on the services provided by the management twin layer.

2. The system as described in claim 1, characterized in that, The data in the management data center includes model data, management operation data, indicator data, and unstructured data; the model data includes strategic planning data, management system data, and enterprise architecture data; the management operation data includes process definition data, process instance data, and process task data; the indicator data includes indicator system structure data, indicator design content, and indicator result data; and the unstructured data includes management system documents, system documents, and standard flowcharts.

3. The system as described in claim 2, characterized in that, The data aggregation layer performs operations such as integrating and modeling the collected data, including: The conceptual entities and their sources contained in the model data, management and operation data, indicator data, and unstructured data are analyzed. Construct the relationships between the conceptual entities in the model data, the management and operation data, the indicator data, and the unstructured data.

4. The system as described in claim 1, characterized in that, The data forwarding service provides the ability to forward the specified management data to internal or external systems of the digital twin system through an application programming interface or a dataset.

5. The system as described in claim 2, characterized in that, The digital layer management service includes a static layer module and a dynamic layer module; The static layer module is used to display structured information about corporate strategy, management system, corporate architecture, and business processes based on the model data and the unstructured data. The dynamic layer module is used to display the dynamic operational status of plan progress, approval process, event closure, and risk situation based on the management operation data and the indicator data.

6. The system as described in claim 2, characterized in that, The various digital management application scenarios include one or more of the following: management system display scenario, value stream analysis scenario, special process mining scenario, and operation analysis scenario.

7. The system as described in claim 6, characterized in that, The management system display scenario is used to call the data forwarding service and the management digital layer service to display the element information related to the management system, enterprise architecture and business processes, as well as the relationship between the elements, and to associate the actual operation status of the system processes. The value stream analysis scenario is used to call the data analysis service to dynamically monitor the process indicators of each operational-level process in each end-to-end process obtained by value stream decomposition, and to perform dynamic analysis based on the monitoring results to identify bottlenecks and breakpoints in the value stream. The aforementioned special process mining scenario is used to call the data analysis service and the tool service to identify process deviation information based on process operation logs and process instance data. The process deviation information includes execution deviations, abnormal process paths, and key nodes. The operational analysis scenario is used to call the data analysis service to obtain key indicator data of each business unit and management system, conduct enterprise management and operational diagnostic analysis based on the current value, historical changes and evolution trend analysis of the key indicator data, and dynamically adjust target management activities and target control strategies based on the diagnostic analysis results.

8. A method for constructing a digital twin system based on enterprise management information, characterized in that, The method includes: A management data center is created to interface with multiple business systems to collect multi-source, heterogeneous data related to the management system. The collected data is then integrated and modeled. The data in the management data center includes model data, management operation data, indicator data, and unstructured data. The data in the management data center is encapsulated and published as a service to obtain data forwarding service, data analysis service, tool service, and management digital layer service. The data forwarding service forwards specified management data from the management data center, including management element information, process instance information, and business form information. The data analysis service queries and / or analyzes specified indicators, including operational indicators, performance indicators, and governance indicators. The tool service provides various tool modules, including process modeling tools, rule configuration tools, and data analysis tools. The management digital layer service is used to interactively present the logical diagram and dynamic state diagram of the management system. Various digital management application scenarios can be constructed based on the data forwarding service, the data analysis service, the tool service, and the management digital layer service.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 8.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method of claim 8.

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