Low-code platform for industrial field management and control

Abstract

The invention discloses a low-code platform oriented to industrial field management and control, which comprises a low-code generation monitoring module, a low-code rule model module and a multi-source heterogeneous distributed data processing module, the system has four important functions of production monitoring, emergency response, event alarm and picture configuration. The low-code rule model module is used for establishing a unified data asset management center and managing L0, L1, L2 and L3, an energy management system, a manufacturing management system and an equipment management system; and the multi-source heterogeneous distributed data processing module is used for supporting high-efficiency processing conversion of relation, time sequence, object and OLAP data, realizing high-efficiency processing of TB-level data, and expanding to a higher level according to the number of nodes. By adopting the platform, a solution convenient to construct is provided for software development in the steel field, and the efficiency and quality of software design are improved.

Description

Technical Field

[0001] The present invention relates to the field of computers, and in particular to a low-code platform for industrial site management and control. Background Art

[0002] Currently, new-generation information technologies such as the Industrial Internet and multi-cloud are providing pathways for the digitalization, networking, and intelligent development of industry and even sectors. They are fundamental to my country's digital transformation and upgrading of industry and the achievement of high-quality development. Accelerating the application and promotion of the Industrial Internet and multi-cloud platforms will help promote the intelligent upgrade of the industrial production and manufacturing service system, extend the industrial chain, and expand the value chain, thereby driving the industry's advancement towards high-end products. This will drive the upgrading of production equipment: By deploying the Industrial Internet, installing sensors on equipment, modeling and analyzing equipment processing and operating data, and optimizing based on operating conditions, this can effectively improve equipment operational stability and enhance processing accuracy. This will drive intelligent production: Leveraging the connectivity, computing, and analytical capabilities of multi-cloud services can deeply empower and value-add various elements of production operations, driving production towards flexible, agile, and green manufacturing, and multiplying the value of production lines. This will drive the upgrading of products: Continuously increasing the supply of intelligent and personalized products will comprehensively improve the quality and efficiency of the supply system.

[0003] As a typical process industry, the steel industry boasts a relatively high degree of automation, numerous production equipment, and complex processes. The implementation of next-generation information technology in the steel industry offers several advantages: First, the steel industry is a traditional industry in urgent need of transformation and upgrading, creating a pressing internal drive; second, the steel industry is a prime example of the generation and application of big data, making it feasible; third, the steel industry's production processes are continuous manufacturing with standardized process flows, making them widely replicable; and fourth, the steel industry possesses a strong foundation in automation and information technology within industrial production, making it the most pressing industry for intelligent manufacturing transformation and upgrading. The development of information technology has led to complex business systems within steel companies. Deploying these applications within traditional IT architectures can lead to low resource utilization, fragmented resources, and a high workload for operations and maintenance. With the increasing mergers and reorganizations among domestic steel companies, the future will see the emergence of a "one company, multiple locations" model, with multi-site collaborative production and distributed manufacturing becoming a common operating model. For example, Shanghai Baoshan Iron & Steel Co., Ltd. has manufacturing bases located across diverse regions, creating challenges in managing production across these bases, as well as regional demand forecasting and production coordination. Summary of the Invention

[0004] The purpose of the present invention is to provide a low-code platform for industrial site management and control to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides a low-code platform for industrial site management and control, including a low-code generation monitoring module, a low-code rule model module, and a multi-source heterogeneous distributed data processing module, wherein:

[0006] The low-code generation monitoring module is aimed at the basic automation field and includes four important functions: production monitoring, emergency response, event alarm, and screen configuration;

[0007] The low-code rule model module is used to establish a unified data asset management center to manage L0 (power supply and distribution, transmission, sensors), L1 (PLC (Programmable Logic Controller), HMI (Human Machine Interface)), L2, L3 and energy management systems, manufacturing management systems, and equipment management systems;

[0008] The multi-source heterogeneous distributed data processing module is used to support the efficient processing and conversion of relational, time series, object, and OLAP (Online Analytical Processing) data, achieving high-efficiency processing of TB (terabyte)-level data and expanding to higher levels based on the number of nodes.

[0009] Furthermore, the multi-source heterogeneous distributed data processing module provides data edge access and caching, high-performance reading and writing, and high-efficiency processing functions.

[0010] Furthermore, the production monitoring function is realized based on the OPC (OLE (Object Linking and Embedding) for Process Control) and OPC UA (OPC Unified Architecture) standard protocols, which unifies the equipment at the industrial site, collects a large amount of multi-source heterogeneous equipment data, and monitors the production status of the industrial site in real time.

[0011] Furthermore, the emergency response provides real-time data display and alarms to achieve effective linkage, and integrates the experience of experts into the system to achieve linkage control across subsystems and multiple devices.

[0012] Furthermore, the event alarm function provides a unified event and alarm interface through the event alarm service, and saves the event alarms in a unified manner for display and query by the client.

[0013] Furthermore, the screen configuration simplifies the user's development work for the application subsystem by configuring the building system.

[0014] Furthermore, the low-code rule model module provides comprehensive management functions for data access, naming, design, and development through OT (Operation Technology) data standards and OT data dictionary tools.

[0015] Furthermore, the low-code rule model module creates edge data assets based on the OT data dictionary and uniformly manages massive high-frequency heterogeneous OT data at the edge.

[0016] Furthermore, the low-code rule model module provides a configurable, graphical, drag-and-drop OT algorithm tool to realize feature extraction, data cleaning, spatiotemporal alignment and rule alarm functions of OT data.

[0017] Furthermore, the low-code rule model module provides configurable industrial data sharing service functions, and realizes triggered and configurable cloud-edge data synchronization through configurable data sharing services.

[0018] Compared with the prior art, the present system and method have the following advantages:

[0019] (1) By providing a variety of service support through the platform, application builders can adopt a multi-cloud or hybrid cloud approach, deploying applications and services where they can best play their value, building on the cloud, relying on cloud services and capabilities, maximizing the potential of the cloud, unleashing the value of the cloud, and making full use of cloud computing models to improve speed, flexibility and quality while reducing deployment risks.

[0020] (2) Low-code is a solution that provides developers with a visual application development environment, reduces or eliminates the need for native code writing in application development, and thus enables the convenient construction of applications. Low-code provides easy-to-use customized software development capabilities, lowers the entry threshold for application development, promotes the deep integration of new IT technologies, helps software development reduce costs, increase efficiency and improve quality, responds agilely to rapidly changing market demands, supports the rapid implementation of massive digital scenarios, accelerates the service-oriented capabilities of the digital age, and is an "accelerator" that enables digital transformation. Based on the core of digital transformation, low-code development provides rich components and powerful expansion capabilities through workflow engines, form engines, rule engines, service engines, data integration, data development, data management, visualization and other technologies, helping enterprises empower employees, optimize decision-making processes, realize the digitalization of products or services, and reconstruct communication models with customers, thereby achieving collaborative optimization of technology, business and organization, and improving production and operation efficiency.

[0021] (3) As a one-stop application development platform, low-code supports the complete life cycle management of applications, starting from the design stage, through development, construction, testing and deployment, all the way to various maintenance and operations after going online. Low-code promotes the intelligent transformation and upgrading of steel enterprises, throughout the entire life cycle of steel products, from initial product design to final service. In terms of product design, it horizontally connects the upstream and downstream of the supply chain, allowing downstream steel product end users to participate in steel product production design, improving the efficiency and quality of design. And with the help of data model analysis, online optimization control, and online analysis and decision-making, it provides guidance for the entire production process and realizes intelligent production.

[0022] (4) The combination of low-code and cloud native can further break down the silos between applications, enterprises, and developers. Big data development in the steel industry is very complex, from data standard entry, data conversion, algorithm modeling, and visualization. The entire process requires high IT skills from implementers, and they also need to have certain steel business knowledge. For most domestic companies, the labor cost is huge, and it is difficult to effectively carry out big data development and analysis in the steel industry in actual scenarios. The use of low-code architecture is conducive to solving the data integration problem between multiple plant bases. At the same time, the tool can also integrate ready-made algorithm models in the steel industry, which can be oriented to non-IT technical personnel, allowing business users to directly participate in the modeling and analysis process of steel industry big data, thereby improving the implementation efficiency of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a structural diagram of a low-code platform for industrial site management and control. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] like Figure 1 The figure shows the structure of the present invention. This low-code platform for industrial site management and control enables standardized and rapid data asset construction, significantly reducing the skill requirements for engineering platform developers. It also features unified OT data assets, configurable data analysis, and unified industrial data services, facilitating subsequent upgrades and updates to industrial systems. The low-code platform for industrial site management and control includes a low-code generation and monitoring module, a low-code rule model module, and a multi-source, heterogeneous, distributed data processing module.

[0026] Through multi-source, heterogeneous distributed data processing tools, we enable efficient processing and conversion of diverse data types, including relational, time-series, object, and OLAP data, enabling efficient processing of terabytes of data and scalability to higher levels based on the number of nodes. Furthermore, we collaborate with cloud-native platforms to achieve edge data access and caching, high-performance read and write, and efficient processing. Technically, we leverage open source components such as caching, distributed computing, and storage frameworks to meet functionality and usability requirements.

[0027] The low-code production monitoring module targets basic automation and includes four key functions: production monitoring, emergency response, event alarms, and screen configuration. Based on standard protocols such as OPC and OPC UA, the production monitoring function integrates industrial field equipment, collects large amounts of data from multiple, heterogeneous devices, and monitors production conditions in real time. When an event occurs, the emergency response function is triggered, providing real-time data display and alarms for effective linkage. Expert experience is integrated into the system to achieve coordinated control across subsystems and multiple devices, fully leveraging the capabilities of each subsystem and improving control capabilities. The event alarm function provides a unified event and alarm interface through the event alarm service, allowing event alarms to be stored and displayed and queried by the client. The quick screen configuration method simplifies application subsystem development by building the system through configuration rather than recoding. Field control devices can be intuitively mapped to configuration objects within the application subsystem monitoring page, better reproducing the device distribution and operating status on site.

[0028] Production control systems usually include L0 (power supply and distribution, transmission, sensors), L1 (PLC, HMI), L2, L3 and energy management systems, manufacturing management systems, equipment management systems, etc., low-code rule model modules, and the establishment of a unified data asset management center. Starting from the unified OT data standard, develop tool-based OT data management specifications, and use OT data standards and OT data dictionary tools to achieve comprehensive management of data access, naming, design, and development. Create edge data assets based on the OT data dictionary to achieve unified management of massive high-frequency heterogeneous OT data at the edge. At the same time, research OT data analysis technology and develop configurable, graphical, drag-and-drop OT algorithm tools to achieve feature extraction, data cleaning, spatiotemporal alignment, and rule alarms for OT data. On this basis, provide configurable industrial data sharing service functions. Through configurable data sharing services, applications can publish edge data on demand to achieve triggered and configurable cloud-edge data synchronization.

[0029] The industrial production process generates a large amount of multi-source heterogeneous data. The effective processing and deep mining of multi-source heterogeneous data can provide manufacturers with more effective production scheduling, equipment management and other strategies, thereby improving production quality and efficiency. In response to the complex structure of industrial data, the heterogeneity, distribution and autonomy between data sources, the high time requirements for data processing and the difficulty of data association mining, we have developed a multi-source heterogeneous distributed data processing platform to achieve efficient processing and conversion of various data such as relational, time series, object, and OLAP. Through targeted algorithm optimization, we can achieve efficient processing of TB-level data and can expand to higher levels based on the number of nodes. At the same time, we study general data processing algorithms for the steel industry and pre-set parameters to realize industry data mining and analysis. For the analysis and exploration of complex data, we provide an intelligent data query engine to achieve rapid separation of dimensional indicators in the data, intelligent graphics recommendation visualization technology, and use multi-dimensional data drilling technology to achieve multi-level deep analysis and visualization of data.

[0030] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A low-code platform for industrial site management and control, characterized by: It includes a low-code generation monitoring module, a low-code rule model module, and a multi-source heterogeneous distributed data processing module, including: The low-code generation monitoring module is aimed at the basic automation field and includes four important functions: production monitoring, emergency response, event alarm, and screen configuration; The low-code rule model module is used to establish a unified data asset management center to manage L0, L1, L2, L3 and energy management systems, manufacturing management systems, and equipment management systems; The multi-source heterogeneous distributed data processing module is used to support the efficient processing and conversion of relational, time series, object, and OLAP data, achieve high-efficiency processing of TB-level data, and expand to higher levels based on the number of nodes.

2. A low-code platform for industrial site management and control according to claim 1, characterized in that: The multi-source heterogeneous distributed data processing module provides data edge access and caching, high-performance reading and writing, and high-efficiency processing functions.

3. A low-code platform for industrial site management and control according to claim 1, characterized in that: The production monitoring function is realized based on OPC and OPCUA standard protocols, which connect the equipment on the industrial site in a unified manner, collect a large amount of multi-source heterogeneous equipment data, and monitor the production situation on the industrial site in real time.

4. A low-code platform for industrial site management and control according to claim 1, characterized in that: The emergency response provides real-time data display and alarms to achieve effective linkage, and integrates the experience of experts into the system to achieve linkage control across subsystems and multiple devices.

5. A low-code platform for industrial site management and control according to claim 1, characterized in that: The event alarm function provides a unified event and alarm interface through the event alarm service, and saves the event alarms in a unified manner for display and query by the client.

6. A low-code platform for industrial site management and control according to claim 1, characterized in that: The screen configuration simplifies the user's development work for the application subsystem by configuring and building the system.

7. A low-code platform for industrial site management and control according to claim 1, characterized in that: The low-code rule model module provides comprehensive management functions for data access, naming, design, and development through OT data standards and OT data dictionary tools.

8. A low-code platform for industrial site management and control according to claim 1, characterized in that: The low-code rule model module creates edge data assets based on the OT data dictionary and uniformly manages massive high-frequency heterogeneous OT data at the edge.

9. A low-code platform for industrial site management and control according to claim 1, characterized in that: The low-code rule model module provides a configurable, graphical, drag-and-drop OT algorithm tool to realize feature extraction, data cleaning, spatiotemporal alignment and rule alarm functions of OT data.

10. A low-code platform for industrial site management and control according to claim 1, characterized in that: The low-code rule model module provides configurable industrial data sharing service functions, and realizes triggered and configurable cloud-edge data synchronization through configurable data sharing services.

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