Digital and intelligent fusion engine architecture system for digital enterprise

Abstract

The invention discloses a digital and intelligent fusion engine architecture system for a digital enterprise, and the system comprises an access layer which provides a PC end workbench and mobile end data display service, receives access request data, returns access response data, and supports the interactive display between a user and a system; the application layer is used for providing task management, online collaboration and task and billboard autonomous configuration services for users; the service layer is used for providing various service supports such as processes and permissions for the application layer; the data layer is used for accessing a marketing business application, a data middle platform related business system and a platform, and realizing the acquisition of real-time and non-real-time structured and non-structured data of a data source; and the resource layer is used for completing internal and external environment support required by system operation through cloud resources. According to the invention, on the basis of system platforms such as an integrated marketing inspection system, an electricity consumption information acquisition system and a power supply service system, transformer area data, line loss data, acquisition data, cost control data and customer archive data are collected and analyzed.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a digital enterprise digital intelligence fusion engine architecture system. Background Art

[0002] The existing information system does not provide sufficient support for the company, and lacks convenient and easy-to-use grid graphics support capabilities. The level of digitization in the operation and management process is insufficient, and empowering the grassroots to reduce burdens and increase efficiency has not yet been fully realized. Therefore, it is necessary to expand digital capabilities.

[0003] When innovating and expanding digital capabilities, through six in-depth application scenarios, including autonomous empowerment services, intelligent operation management, power grid graphic support, grassroots burden reduction business applications and multi-dimensional applications of mobile terminals, with "burden reduction, efficiency improvement, empowerment, innovation, and safety" as the construction goals, we will enhance the digital operation capabilities and system office capabilities of front-line employees, deepen system application construction, improve data quality, promote the deep integration of artificial intelligence, zero code, and RPA technology with business, deeply tap the value of data, and comprehensively enhance the company's digital construction capabilities and management level. Summary of the invention

[0004] Based on the technical problems existing in the background technology, the present invention proposes a digital enterprise digital intelligence fusion engine architecture system, which relies on integrated marketing audit systems, electricity consumption information collection systems, power supply service systems and other system platforms to collect and analyze substation data, line loss data, collection data, fee control data, and customer file data.

[0005] The present invention proposes a digital enterprise digital intelligence fusion engine architecture system, including the following:

[0006] Access layer: provides PC workstation and mobile data display services, accepts access request data, returns access response data, and supports the display of interaction between users and the system;

[0007] Application layer: including the homepage of the digital intelligence fusion engine, the mission cabin, the cockpit, the business center, the configuration center, the sharing center, and multi-dimensional mobile applications, providing users with task management, online collaboration, and autonomous configuration services for tasks and dashboards;

[0008] Service layer: Use microservice technology to implement various application service modules and provide various service supports for the application layer, such as process and authority.

[0009] Data layer: access marketing business applications, data center-related business systems and platforms, and acquire real-time and non-real-time structured and unstructured data from data sources based on technologies such as API, ETL, WebService, JDBC, and RPA;

[0010] Resource layer: Complete the internal and external environment support required for system operation through cloud resources.

[0011] Preferably, the access layer includes a PC terminal and a mobile terminal.

[0012] Preferably, the service layer includes interface services and business services. The interface services include a graph service, an integrated service interface, a business center service, a business unified interface, a data middle platform service and a report interface. The business services include a message center, process components, form components, permission management, RPA, indicator reports, unified search and visual charts.

[0013] Preferably, the data layer includes data aggregation and data cache, the data aggregation is connected to the marketing business application, the data cache is connected to the data middle platform, the data cache is connected to the data storage through data processing, and the data aggregation is directly connected to the data storage.

[0014] Preferably, the resource layer includes a management information area and an Internet area.

[0015] Preferably, the PC side includes a home page, a task cabin, a business center, a configuration center, and a sharing center; the mobile side includes multi-dimensional applications for mobile terminals.

[0016] The beneficial effects of the present invention are:

[0017] 1. Improve digital capabilities. Relying on system platforms such as the integrated marketing audit system, electricity consumption information collection system, and power supply service system, collect and analyze substation data, line loss data, collection data, fee control data, and customer profile data to implement the "data master system" in work; display digital reports and dashboards for digital tools and technologies such as digital architecture, RPA technology, and zero code, and guide front-line employees to actively use digital tools to solve problems such as frequent multi-system operations and difficulties in daily report statistics. The digital work capabilities of grassroots employees have been significantly improved.

[0018] 2. Improve quality, reduce costs and increase efficiency, focus on weak indicators to build a multi-user, multi-perspective digital display scene, realize the weak indicator dashboard display, and meet the "use, management and viewing" needs of employees at all levels. Assist accurate decision-making and promote the improvement of the quality of various work. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a structural block diagram of the digital enterprise digital intelligence fusion engine architecture system proposed in the present invention.

[0020] Figure 2 This is a structural block diagram of the application architecture of a digital enterprise digital intelligence fusion engine proposed in the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0022] Reference Figure 1-2 , a digital enterprise digital intelligence fusion engine architecture system, including the following:

[0023] Access layer: provides PC workstation and mobile data display services, accepts access request data, returns access response data, and supports the display of interaction between users and the system; the access layer includes PC and mobile terminals, and PC applications include homepage, task cabin, business center, configuration center, and sharing center; mobile terminal applications include multi-dimensional applications for mobile terminals, providing users with task management, online collaboration, and task and dashboard self-configuration services;

[0024] Service layer: Microservice technology is used to implement various application service modules, providing various service supports for processes and permissions for the application layer; the service layer includes interface services and business services. The interface services include a map service, an integrated service interface, a business center service, a business unified interface, a data middle platform service and a report interface. The business services include a message center, process components, form components, permission management, RPA, indicator reports, unified search and visual charts.

[0025] Data layer: access to marketing business applications, data middle platform related business systems and platforms, and acquire real-time and non-real-time structured and unstructured data from data sources based on API, ETL, WebService, JDBC, RPA and other technologies; the data layer includes data aggregation and data cache, the data aggregation is accessed to marketing business applications, the data cache is accessed to the data middle platform, the data cache is accessed to data storage through data processing, and the data aggregation is directly accessed to data storage.

[0026] Resource layer: completes the internal and external environment support required for system operation through cloud resources; the resource layer includes the management information area and the Internet area.

[0027] The present invention follows the principles of data assetization, data sharing, data availability, data standardization and data security. Data is mainly acquired through data integration and interface integration. Data with low timeliness requirements, such as ledger data, are acquired through the API of the data middle station; data with higher business timeliness are acquired through API; certain special types such as work order data or data feedback require connection to business systems, mainly involving power supply service command systems and marketing business application systems; the power grid capability support involved in the system is connected to the power grid resource business middle station through API to acquire data.

[0028] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A digital enterprise digital intelligence fusion engine architecture system, characterized in that: These include: Access layer: provides PC workstation and mobile data display services, accepts access request data, returns access response data, and supports the display of interaction between users and the system; Application layer: including the homepage of the digital intelligence fusion engine, the mission cabin, the cockpit, the business center, the configuration center, the sharing center, and multi-dimensional mobile applications, providing users with task management, online collaboration, and autonomous configuration services for tasks and dashboards; Service layer: Use microservice technology to implement various application service modules and provide various service supports for the application layer, such as process and authority. Data layer: access marketing business applications, data center-related business systems and platforms, and acquire real-time and non-real-time structured and unstructured data from data sources based on technologies such as API, ETL, WebService, JDBC, and RPA; Resource layer: Complete the internal and external environment support required for system operation through cloud resources.

2. According to claim 1, a digital enterprise digital intelligence fusion engine architecture system is characterized in that: The access layer includes a PC terminal and a mobile terminal.

3. The digital enterprise digital intelligence fusion engine architecture system according to claim 1 is characterized in that: The service layer includes interface services and business services. The interface services include a picture service, an integrated service interface, a business center service, a business unified interface, a data middle platform service and a report interface. The business services include a message center, process components, form components, permission management, RPA, indicator reports, unified search and visual charts.

4. The digital enterprise digital intelligence fusion engine architecture system according to claim 1 is characterized in that: The data layer includes data aggregation and data cache. The data aggregation is connected to the marketing business application, the data cache is connected to the data middle platform, the data cache is connected to the data storage through data processing, and the data aggregation is directly connected to the data storage.

5. The digital enterprise digital intelligence fusion engine architecture system according to claim 1 is characterized in that: The resource layer includes a management information area and an Internet area.

6. A digital enterprise digital intelligence fusion engine architecture system according to claim 2, characterized in that: The PC side includes the home page, mission cabin, cockpit, business center, configuration center, and sharing center; the mobile side includes multi-dimensional applications for mobile terminals.

Images