Metallurgical automation control and edge computing system and method, all-in-one machine, medium

Abstract

The present invention provides an all-in-one metallurgical automation control and edge computing machine, comprising: a cloud-based PLC container that achieves real-time data collection and control by collecting data from on-site sensors and controlling actuators; an industrial internet platform container that deploys industrial internet platform edge nodes, with data on edge nodes serving as global data for the edge computing machine and available to other containers with authorization; an artificial intelligence platform container that deploys an industrial artificial intelligence algorithm platform that can dispatch general capabilities on the hardware platform; a virtual desktop container that deploys a virtual cloud desktop system, allowing production sites to remotely log in to the cloud desktop by simply installing a client; and a 5G private network MEP container that deploys a 5G private network operations and management platform. This platform, integrated into the industrial internet platform, enables monitoring and management of the 5G private network. This invention enables flexible edge data access and features strong real-time, real-time, non-real-time, and strong computing system integration.

Description

Technical Field

[0001] The present invention relates to the field of metallurgical automation information technology, and in particular to a metallurgical automation control and edge computing system and method, an all-in-one machine, and a medium. Background Art

[0002] Faced with the complexity of metallurgical automation control systems, coupled with the continuous penetration and spread of new-generation information technology and Internet technology, metallurgical automation control has gradually broken through its original relatively closed usage environment. Increasing openness and connectivity have made it possible for industrial control systems to collaborate with various business systems. Industrial equipment, people, and information systems are closely linked through data. System integration, equipment standardization, equipment intelligence, business collaboration, information sharing, panoramic decision-making needs, and full process networking have also become the development needs of metallurgical automation control systems. In particular, the flexible deployment, safe and reliable, and centralized control of key systems in the automation control system, such as data acquisition systems, process control systems, monitoring systems, and intelligent control systems, are urgently needed.

[0003] Solving the aforementioned issues in the metallurgical automation control industry requires unified coordination and integrated deployment of various systems, including edge acquisition and monitoring, process control, information control, and intelligent control. This integrated deployment requires consideration of the evolving characteristics of metallurgical automation, including the need for on-site remote wireless operation, the real-time nature of process control, the flexible deployment of intelligent control, and the overall system security.

[0004] After searching, patent document CN104883715A discloses a mobile switching management system, method, main controller, and edge controller. By setting up edge controllers in one or more types of mobile access networks, and setting up a main controller on the switch side where each mobile access network is connected to the core network, the edge controller analyzes the terminal's event type based on the status information of the terminals associated with and / or covered by each wireless access point in each mobile access network. Depending on whether the event type is intra-network or inter-network mobile switching, the edge controller or the main controller controls the intra-network or inter-network mobile switching of the terminal, thereby achieving global and more efficient mobile switching management for the terminal. However, the edge controller designed in this prior art is mainly for processing information on mobile access in the communications industry, calculating switching route models, and implementing path implementation. It does not include data collection, real-time and non-real-time system integration solutions, and cannot meet the needs of multi-system integration of metallurgical automation edge all-in-one machines.

[0005] Patent document CN206069075U discloses a spinning edge motion control system. By providing a correction link reciprocating guide rod that drives a reciprocating wire guide mechanism to produce lateral offset, an edge controller controls the lateral movement of the reciprocating wire guide mechanism through a drive mechanism, controlling the lateral offset of the wire guide head at its edge position. This effectively avoids the convex edge phenomenon caused by mechanical inertia such as forward and reverse switching. The edge control system designed in this prior art is a specific system control for specific scenarios and does not involve the integration of multiple systems, nor does it address the solution for the integration of multiple systems such as real-time and non-real-time systems in automatic control systems. Therefore, it cannot meet the needs of the multi-system integration of metallurgical automation control and edge computing all-in-one machines.

[0006] Patent document CN112770565A discloses an edge integrated cabinet, an edge integrated machine, and its security protection system, all of which include a protection host, a cabinet door and cabinet body closing / separation detector, a camera, a fingerprint electronic lock, a SIM card module, and a speaker, wherein: the cabinet door and cabinet body closing / separation detector is used to detect the closing and separation between the cabinet door and the cabinet body; the camera is used to monitor the environment around the cabinet; the fingerprint electronic lock is used to lock the cabinet door to the cabinet body; the speaker is used for the security protection alarm of this system; the protection host is used to broadcast a security alarm message through the speaker when the fingerprint electronic lock is not opened and the cabinet door and cabinet body closing / separation detector reports that the cabinet door and the cabinet body have separated, and at the same time, the protection host is used to control the camera to take a photo of the cabinet environment and send an abnormality message to a preset number through the SIM card module. This existing technology is used to improve the physical security protection of the edge integrated machine, does not involve the integration of multiple systems, and cannot meet the needs of the multi-system integration of metallurgical automation control and edge computing integrated machines.

[0007] In view of the special needs of metallurgical automation edge systems, it is necessary to design an all-in-one metallurgical automation control and edge computing machine that takes into account data acquisition, real-time process control, and intelligent information control. Summary of the Invention

[0008] In response to the defects in the existing technology, the purpose of the present invention is to provide a metallurgical automation control and edge computing system and method, all-in-one machine, and medium. Through the construction and design of the system, the standardization and flexibility of edge data collection of metallurgical automatic control, the unified configuration and deployment of the system, the centralization of logic control and model control, the simplicity and universality of system deployment are achieved, and the metallurgical automation control and edge computing all-in-one machine is designed and implemented.

[0009] A metallurgical automation control and edge computing system provided by the present invention includes:

[0010] Strong real-time operation unit: The strong real-time operation unit responds to requests from external events in a timely manner, completes the processing of the event within the specified time, and controls the coordinated operation of all real-time tasks. The strong real-time operation unit also meets the requirements of metallurgical automation control.

[0011] Weak real-time operation unit: The weak real-time operation unit is connected to the metallurgical automation control, completing system functions and responding to external or internal, synchronous or asynchronous time within a specified or determined time. Data transmission delay within the specified range will not cause a significant impact on users;

[0012] Non-real-time operation unit: Compared with the requirements of strong real-time operation units and weak real-time operation units for system control delay and online control, non-real-time operation units collect and analyze data samples for automated process control offline and apply the analysis results to the real-time system to serve metallurgical production control.

[0013] Preferably, it also includes:

[0014] Other operation units: To meet the needs of metallurgical automation control and the core control functions of the edge computing all-in-one machine, other operation, analysis and communication system units are established;

[0015] Virtual bottom-level unit: a basic system platform deployed to realize the upper-level system unit of metallurgical automation control and edge computing all-in-one machine;

[0016] General hardware platform: a hardware platform that meets the various hardware performance indicators required for the system function requirements of the metallurgical automation control and edge computing all-in-one machine.

[0017] According to the present invention, a metallurgical automation control and edge computing integrated machine is provided, which includes the above-mentioned metallurgical automation control and edge computing system, including:

[0018] Cloud-based PLC container: This enables real-time data collection and control through data collection from field sensors and control of actuators.

[0019] Industrial Internet Platform Container: Install a server operating system in the Industrial Internet Platform container and deploy the Industrial Internet Platform edge node. The data on the edge node serves as the global data of the edge computing all-in-one machine and can be used by other containers with authorization.

[0020] Artificial intelligence platform container: Install a real-time operating system in the artificial intelligence platform container and deploy an industrial artificial intelligence algorithm platform. The algorithm platform can dispatch general capabilities on the hardware platform.

[0021] Virtualized desktop container: Install the server operating system in the virtualized desktop container and deploy a virtual cloud desktop system. Production sites only need to install a client to remotely log in to the cloud desktop.

[0022] 5G private network MEP container: Install the server operating system in the 5G private network MEP container, deploy the 5G private network operation and management platform, and integrate the platform into the industrial Internet platform to monitor and manage the 5G private network.

[0023] Preferably, a real-time operating system is installed in the cloud-based PLC container, and the PLC runtime is deployed on the real-time operating system. The real-time operating system provides high real-time computing power for the operation of the PLC control program. The PLC control program relies on the PLC runtime to run and realize the data collection and execution control of the field sensors. The PLC control program, sensors, and actuators are carried by the 5G network.

[0024] Preferably, the industrial Internet platform edge node deployed on the industrial Internet platform container includes data acquisition components, databases, data governance components, data application components, video fusion components, centralized control components and application configuration components, providing standardized data acquisition, edge-side data governance, data storage, data application, process control application and centralized control center screen construction.

[0025] Preferably, the algorithm platform can dispatch the GPU computing power on the hardware platform and provide general capabilities of industrial artificial intelligence application operators and algorithms, enabling rapid construction of industrial artificial intelligence applications on production sites.

[0026] Preferably, the virtual cloud desktop container serves as the programming terminal and control terminal of the cloud PLC container, the development terminal and screen terminal of the industrial Internet platform container, and the development terminal and application terminal of the artificial intelligence platform container.

[0027] According to a metallurgical automation control and edge computing method provided by the present invention, metallurgical automation control and edge computing are performed using the above-mentioned metallurgical automation control and edge computing integrated machine, including the following steps:

[0028] Step S1: Use the metallurgical automation edge all-in-one machine to connect to the on-site equipment for data collection;

[0029] Step S2: Configure the metallurgical automation edge integrated machine;

[0030] Step S3: The communication between the various systems of the metallurgical automation edge all-in-one machine is connected. The underlying hardware network shared by the edge all-in-one machine can communicate between real-time systems and non-real-time systems, thereby performing millisecond-level large-scale data communication.

[0031] Preferably, step S1 includes the following steps:

[0032] Step S1.1: For field devices that require real-time monitoring, directly connect the remote I / O and the strong real-time operation unit of the edge all-in-one machine via the on-site industrial real-time Ethernet to collect data and conduct real-time control.

[0033] Step S1.2: For data with weak real-time or non-real-time control, configure flexible and diverse data collection methods. Lightweight protocols such as MQTT are used for message subscription and publishing, or standard IoT protocols are used to upload data. Communication methods can be wireless or wired. Especially for scenarios with temporary additions or difficult wiring, devices with wireless terminals can be provided to directly connect to the edge all-in-one machine.

[0034] According to the present invention, a computer-readable storage medium storing a computer program is provided, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. The present invention realizes the collection of edge data, thereby performing flexible configuration, establishing a more convenient data pulling mode, improving the efficiency of data collection, and reducing the overall implementation difficulty.

[0037] 2. The present invention proposes a full-stack edge all-in-one solution, which makes the hardware configuration more flexible, more scalable, more efficient in utilization and redundancy design, and reduces the cost of the automation control system.

[0038] 3. The present invention adopts an open architecture and flexible configuration scheme, making the technical solution of the metallurgical automation all-in-one machine more reliable, trustworthy and controllable.

[0039] 4. The standardized hardware and software used in the present invention can reduce the difficulty of on-site implementation. Implementers do not need to worry about hardware and software platform technologies and can quickly carry out business application development and data application innovation.

[0040] 5. The present invention overcomes the technical problem of subverting the traditional model that on-site control applications must be developed and operated on-site. Developers and operation and maintenance personnel can carry out project deployment, debugging and operation and maintenance remotely. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0042] Figure 1 This is the business architecture diagram of the metallurgical automation control and edge computing all-in-one machine in the present invention;

[0043] Figure 2This is a diagram showing the structure of the metallurgical automation control and edge computing system in the present invention;

[0044] Figure 3 Schematic diagram of the metallurgical automation control and edge computing all-in-one test design system in the present invention. DETAILED DESCRIPTION

[0045] The present invention will be described in detail below with reference to specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those skilled in the art, several changes and improvements can be made without departing from the scope of the present invention. These all fall within the scope of protection of the present invention.

[0046] like Figure 2 As shown, the present invention provides a metallurgical automation control and edge computing system, including:

[0047] Strong real-time operation unit: The strong real-time operation unit responds to requests from external events in a timely manner, completes the processing of the event within the specified time, and controls the coordinated operation of all real-time tasks. The strong real-time operation unit also meets the requirements of metallurgical automation control.

[0048] Weak real-time operation unit: The weak real-time operation unit is connected to the metallurgical automation control, completes system functions and responds to external or internal, synchronous or asynchronous time within a specified or determined time. Data transmission delay within the specified range will not cause a significant impact on users.

[0049] Non-real-time operation unit: Compared with the requirements of strong real-time operation units and weak real-time operation units for system control delay and online control, non-real-time operation units collect and analyze data samples for automated process control offline and apply the analysis results to the real-time system to serve metallurgical production control.

[0050] Other operation units: In response to the needs of the core control functions of the metallurgical automation control and edge computing all-in-one machine, other operation, analysis and communication system units are established.

[0051] Virtual underlying unit: A basic system platform deployed to realize the upper-layer system unit of metallurgical automation control and edge computing all-in-one machine.

[0052] General hardware platform: a hardware platform that meets the various hardware performance indicators required for the system function requirements of the metallurgical automation control and edge computing all-in-one machine.

[0053] like Figure 1As shown, the present invention also provides a metallurgical automation control and edge computing all-in-one machine, which includes the above-mentioned metallurgical automation control and edge computing system. The communication methods of the metallurgical automation control and edge computing all-in-one machine mainly include wired network and wireless network. The wired network is communicated through traditional optical fiber and twisted pair. The wireless network is mainly 5G network and other wireless networks after 5G network fusion. Containers can establish a bridge to communicate with each other through the host machine. Specifically including:

[0054] Cloud-based PLC container: Real-time data collection and control are achieved through data collection from field sensors and control of actuators. A real-time operating system is installed in the cloud-based PLC container, and the PLC runtime is deployed on the real-time operating system. The real-time operating system provides high-real-time computing power for the operation of the PLC control program. The PLC control program relies on the PLC runtime to run, achieving data collection and execution control of field sensors. The PLC control program, sensors, and actuators are carried by the 5G network.

[0055] Industrial Internet platform container: Install the server operating system in the Industrial Internet platform container and deploy the Industrial Internet platform edge node. The data on the edge node serves as the global data of the edge computing all-in-one machine and can be used by other containers with authorization. The Industrial Internet platform edge node deployed on the Industrial Internet platform container includes data acquisition components, databases, data governance components, data application components, video fusion components, centralized control components and application configuration components, providing standardized data collection, edge-side data governance, data storage, data application, process control application and centralized control center screen construction.

[0056] Artificial intelligence platform container: Install a real-time operating system in the artificial intelligence platform container and deploy an industrial artificial intelligence algorithm platform. The algorithm platform can dispatch the general capabilities of the hardware platform; the algorithm platform can dispatch the GPU computing power on the hardware platform and provide industrial artificial intelligence application operators and general capabilities of algorithms, enabling rapid construction of industrial artificial intelligence applications on production sites.

[0057] Virtualized desktop container: Install the server operating system in the virtualized desktop container and deploy the virtual cloud desktop system. The production site only needs to install the client to remotely log in to the cloud desktop; the virtual cloud desktop container serves as the programming terminal and control terminal of the cloud PLC container, the development terminal and screen terminal of the industrial Internet platform container, and the development terminal and application terminal of the artificial intelligence platform container.

[0058] 5G private network MEP container: Install a server operating system in the 5G private network MEP container, deploy a 5G private network operation and management platform, and integrate the platform into the industrial Internet platform to monitor and manage the 5G private network, providing users with basic 5G private network usage and operation capabilities.

[0059] The present invention further provides a metallurgical automation control and edge computing method, which uses the above-mentioned metallurgical automation control and edge computing integrated machine to perform metallurgical automation control and edge computing, including the following steps:

[0060] Step S1: Use the metallurgical automation edge all-in-one machine to connect to the on-site equipment for data collection; specifically,

[0061] Step S1.1: For field equipment that requires real-time monitoring, the remote I / O and the strong real-time operating system of the edge all-in-one machine can be directly connected through the on-site industrial real-time Ethernet to collect data and perform real-time control.

[0062] Step S1.2: Another type of data based on big data applications, weak real-time or non-real-time control data, is configured with flexible and diverse data collection forms. A lightweight protocol similar to MQTT is used for message subscription and publishing, or a standard IoT protocol is used to upload data. The communication method can be wireless or wired. Especially for scenarios where temporary additions or wiring difficulties occur, devices with wireless terminals can be provided to directly connect to the edge all-in-one machine.

[0063] Step S2: Configure the metallurgical automation edge all-in-one machine; use hyper-convergence technology to build a highly reliable IT facility based on a general hardware platform, and virtualize multiple containers on the hyper-convergence host, including cloud PLC container, industrial Internet platform container, artificial intelligence platform container, virtualized desktop container, and 5G private network MEP container, and deploy operating systems and applications in each container. Specifically:

[0064] Step S2.1: Install a real-time operating system (RTOS) in the container and deploy the PLC runtime onto the RTOS. The RTOS provides high-real-time computing power for PLC operation. The PLC control program relies on the PLC runtime to implement data acquisition and execution control of field sensor data. The PLC, sensors, and actuators are carried by the 5G network. The 5G network is equipped with deterministic network technology to ensure real-time acquisition and control.

[0065] Step S2.2: Install the server operating system in the container and deploy the edge node of the industrial Internet platform. The edge node contains data acquisition components, databases (relational databases, real-time databases, time series databases, etc.), data governance components, data application components, video fusion components, centralized control components, application configuration components, etc., providing functions such as standardized data collection, edge-side data governance, data storage, data application, process control application, and centralized control center screen construction. At the same time, the data on the edge node serves as the global data of the edge all-in-one machine and can be used by other containers under the premise of authorization.

[0066] Step S2.3: Install a real-time operating system in the container and deploy an industrial artificial intelligence algorithm platform. The algorithm platform can schedule the GPU computing power of the hardware platform and provide general capabilities such as industrial artificial intelligence application operators and algorithms. Based on the above capabilities, industrial artificial intelligence applications can be quickly built on the production site.

[0067] Step S2.4: Install the server operating system in the container and deploy the virtual cloud desktop system. The production site only needs to install a thin client to remotely log in to the cloud desktop. The cloud desktop can be used as a programming terminal and control terminal for cloud PLCs, as a development terminal and screen terminal for industrial Internet platforms, and as an artificial intelligence application development terminal and application terminal, etc.

[0068] Step S2.5: Install the server operating system in the container and deploy the 5G private network operation and management platform. Integrating the platform into the Industrial Internet platform can monitor and manage the 5G private network and provide users with basic 5G private network usage and operation capabilities.

[0069] Step S3: Establish communication paths between the various systems of the metallurgical automation edge machine. Because the edge machines share a common underlying hardware network, communication between both real-time and non-real-time systems is possible. This is particularly important for communication between systems with high real-time requirements. This breaks away from the traditional proprietary communication methods used by major automation manufacturers and conveniently solves the millisecond-level communication challenges of large data volumes.

[0070] Select hardware servers based on the functional capabilities of the edge appliance. For non-real-time systems, the appliance should summarize the existing system configuration data. The key is to address the hardware resource configuration for the strong real-time system's soft PLC. Consider the following aspects: Select an architecture (X86 or ARM) that supports the appropriate service. Based on this architecture, configure the appliance's performance for different application scenarios. Consider performance indicators such as product form, number of CPU cores, processor performance, storage, and interface expansion based on the resource requirements of each system.

[0071] In fact, each subsystem is implemented according to the above selected solution (taking the test design system as an example). Figure 3 The following figure shows a schematic diagram of the edge appliance test design system. The edge appliance is an ARM-based system. Based on a unified hardware system, a single server virtualizes two real-time systems: a weak real-time system, a non-real-time system, and an intelligent control system. A 2U server was selected, offering high-performance computing and efficient acceleration for distributed and highly concurrent I / O applications. Based on a unified operating system, four real-time runtime instances are virtualized to control and coordinate motors and monitor other I / O devices. Communication between instances is performed at the operating system level. This verifies the feasibility and effectiveness of the real-time control solution.

[0072] Finally, data communication between the edge all-in-one machine and upper and lower layer devices and systems is realized. It mainly solves the implementation of field-level industrial Internet of Things for strong real-time systems to field devices downward, and gradually replaces the traditional field bus. Upward edge all-in-one machine connects to the upper control system. Based on the overall architecture of industrial Internet network configuration of multimodal network, build an industrial network and computing power fusion interconnection and interoperability technology system based on multimodal network, complete the industrial network control system network with delay-sensitive characteristics under the multimodal network architecture, coordinate with mainstream industrial field bus protocols, and finally form a network topology with unified standards, flexible and convenient access, end-to-end deterministic low latency. Through the integration of wireless and wired networks, flexible network topology is achieved through software configuration to ensure end-to-end determinism, delay, and jitter requirements in different application scenarios.

[0073] This test design covers the core technical points of the patent of this invention: the basis of the anti-glare solution for the hardware configuration of the edge all-in-one machine, the basis of the underlying system configuration, the implementation method of the upper and lower layer communication, the communication verification between the system containers and the experimental verification.

[0074] Working principle of the metallurgical automation control and edge computing all-in-one machine:

[0075] Based on a universal hardware platform, we build reliable IoT convergence facilities. Multiple containers can be virtualized on demand on a hyper-converged host. This provides a strong real-time operating system to meet metallurgical automation control requirements, a server operating system for deploying edge nodes on the industrial Internet platform, and fast communication between real-time and non-real-time systems to build industrial AI applications on the production site. We also offer a variety of data communication methods for connecting to on-site equipment and communication channels for connecting to different system platforms.

[0076] Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, and units provided by the present invention in purely computer-readable program code, it is entirely possible to implement the same functions of the system and its various devices, modules, and units provided by the present invention in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; the devices, modules, and units for implementing various functions can also be considered as both software modules implementing the method and structures within the hardware component.

[0077] The above describes specific embodiments of the present invention. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art may make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. The embodiments of this application and the features in the embodiments may be combined with each other in any manner unless there is a conflict.

Claims

1. A metallurgical automation control and edge computing all-in-one machine, characterized in that: include: Cloud-based PLC container: This enables real-time data collection and control through data collection from field sensors and control of actuators. Industrial Internet Platform Container: Install a server operating system in the Industrial Internet Platform container and deploy the Industrial Internet Platform edge node. The data on the edge node serves as the global data of the edge computing all-in-one machine and can be used by other containers with authorization. Artificial intelligence platform container: Install a real-time operating system in the artificial intelligence platform container and deploy an industrial artificial intelligence algorithm platform. The algorithm platform can dispatch general capabilities on the hardware platform. Virtualized desktop container: Install the server operating system in the virtualized desktop container and deploy a virtual cloud desktop system. Production sites only need to install a client to remotely log in to the cloud desktop. 5G private network MEP container: Install a server operating system in the 5G private network MEP container, deploy a 5G private network operation and management platform, and integrate the 5G private network operation and management platform into the Industrial Internet platform to monitor and manage the 5G private network. It also includes a metallurgical automation control and edge computing system, including: Strong real-time operation unit: The strong real-time operation unit responds to requests from external events in a timely manner, completes the processing of the event within the specified time, and controls the coordinated operation of all real-time tasks. The strong real-time operation unit meets the requirements of metallurgical automation control and solves the problem of large-scale data communication at the millisecond level. Weak real-time operation unit: The weak real-time operation unit is connected to the metallurgical automation control, completes the system functions and responds to external or internal, synchronous or asynchronous time within a specified or determined time, and the data transmission delay is within the specified range; Non-real-time operation unit: Compared with the strong real-time operation unit and the weak real-time operation unit, which have requirements for system control delay and online control, the non-real-time operation unit collects data samples for automated process control and performs offline analysis, and applies the analysis results to the real-time system to serve metallurgical production control. The underlying hardware network shared by edge all-in-one machines enables communication between real-time and non-real-time systems at the millisecond level. The system further comprises: Operation unit: To meet the needs of the core control functions of the metallurgical automation control and edge computing all-in-one machine, establish an operation, analysis and communication system unit; Virtual bottom-level unit: a basic system platform deployed to realize the upper-level system unit of metallurgical automation control and edge computing all-in-one machine; General hardware platform: a hardware platform that meets the hardware performance indicators required by the system function requirements of the metallurgical automation control and edge computing all-in-one machine; A real-time operating system (RTOS) is installed in the cloud-based PLC container, and the PLC runtime is deployed on the RTOS. The RTOS provides high-real-time computing power for the PLC control program. The PLC control program relies on the PLC runtime to collect data from field sensors and control execution. The PLC control program, sensors, and actuators are carried over the 5G network. The virtual cloud desktop container serves as the programming terminal and control terminal of the cloud PLC container, the development terminal and screen terminal of the industrial Internet platform container, and the development terminal and application terminal of the artificial intelligence platform container.

2. The metallurgical automation control and edge computing integrated machine according to claim 1, characterized in that: The industrial Internet platform edge node deployed on the industrial Internet platform container includes data acquisition components, databases, data governance components, data application components, video fusion components, centralized control components and application configuration components, providing data standardization acquisition, edge-side data governance, data storage, data application, process control application and centralized control center screen construction.

3. The metallurgical automation control and edge computing integrated machine according to claim 1, characterized in that: The algorithm platform dispatches the GPU computing power on the hardware platform and provides general capabilities of industrial artificial intelligence application operators and algorithms, enabling rapid construction of industrial artificial intelligence applications on production sites.

4. A metallurgical automation control and edge computing method, characterized in that: Using the metallurgical automation control and edge computing integrated machine according to claim 1 to perform metallurgical automation control and edge computing includes the following steps: Step S1: Use the metallurgical automation edge all-in-one machine to connect to the on-site equipment for data collection; Step S2: configuring the metallurgical automation edge integrated machine; Step S3: The communication between the various systems of the metallurgical automation edge all-in-one machine is connected. The underlying hardware network shared by the edge all-in-one machine can communicate between real-time systems and non-real-time systems, thereby achieving millisecond-level communication.

5. The metallurgical automation control and edge computing method according to claim 4, characterized in that: The step S1 includes the following steps: Step S1.1: For field devices that require real-time monitoring, directly connect the remote I / O and the strong real-time operation unit of the edge all-in-one machine via the on-site industrial real-time Ethernet to collect data and conduct real-time control. Step S1.2: For weak real-time or non-real-time control data, configure multiple data collection methods, use the lightweight MQTT protocol for message subscription and publishing, or use the standard Internet of Things protocol to upload data, and the communication method can be wireless or wired.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 4 to 5 are implemented.

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