An industrial control system deployment and operation and maintenance method and system based on a cloud platform

Abstract

The present invention relates to a method and system for deploying and operating an industrial control system based on a cloud platform. The method includes: after migrating the system image to an edge computing cloud platform respectively connected to an all-in-one machine and a master control machine, the master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine so that the all-in-one machine can perform system deployment work; after uploading the system image update data to the edge computing cloud platform, the master control machine controls the mirror template system in the edge computing cloud platform to generate the latest mirror template according to the system image update data and pushes it to the all-in-one machine so that the all-in-one machine can perform system update work. The industrial control system installed based on the edge computing cloud platform of the present invention has high flexibility and can effectively utilize the convenience and advancement of the edge computing cloud platform; moreover, when the equipment needs to be upgraded, there is no need to upgrade the equipment on-site, and the difficulty of migrating the equipment from old hardware to new hardware is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial control, and in particular to an industrial control system based on an edge computing cloud platform. Background Art

[0002] In terms of structure, traditional industrial control systems are divided into two parts: a host computer and a slave computer. The hardware carriers of the host computer generally consist of servers and the computers of engineers and operators. The server mainly hosts the server side of the configuration software and analysis system and the database. The computers of engineers and operators mainly host the client sides of the configuration software and analysis system. The hardware carriers are generally conventional physical machines.

[0003] When deploying traditional industrial control systems, the host computer needs to be preliminarily debugged and installed by the manufacturer, and corresponding configuration work is carried out on site. If problems occur during use, engineers need to be arranged to restore the system of the host computer, and personnel need to arrive at the site to solve the problems. For some host computers that need to be restored urgently, it is difficult to promptly eliminate the faults in the industrial control system. Under the existing system, each master station is essentially an individual control system. There is only necessary data communication between each master station, and there is a lack of a complete feedforward and feedback control chain. At the same time, the data generated during the production process cannot be effectively utilized. Once the host computer has problems, all configurations cannot be used. Summary of the Invention

[0004] (I) Technical Problems to be Solved

[0005] In view of the above-mentioned disadvantages and deficiencies of the prior art, the present invention provides a method and system for deploying and operating and maintaining an industrial control system based on a cloud platform, which solves the technical problems of being cumbersome, complex, inconvenient, difficult to repair when problems occur, and long repair time during the deployment of traditional industrial systems.

[0006] (II) Technical Solutions

[0007] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0008] In a first aspect, an embodiment of the present invention provides a method for deploying and operating and maintaining an industrial control system based on a cloud platform, including:

[0009] After migrating the system image to the edge computing cloud platform respectively connected to the all-in-one machine and the master control machine, the master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine, so that the all-in-one machine can perform system deployment work;

[0010] After uploading the system image update data to the edge computing cloud platform, the master control machine controls the mirror template system in the edge computing cloud platform to generate the latest mirror template according to the system image update data and pushes it to the all-in-one machine, so that the all-in-one machine can perform system update work;

[0011] Among them, the master control machine is a configured management device selected from the all-in-one machine according to the received system deployment instruction or system update instruction, and can be restored to the all-in-one machine after the all-in-one machine completes the deployment or update work.

[0012] Optionally, migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the master control machine includes:

[0013] Migrating the system image to the edge computing cloud platform and setting the system image to a permanently non-restorable state at the same time;

[0014] Generating a script file of the software related to the system image through a pre-set script tool, and migrating the registry information and configuration file in the script file to the target drive letter to achieve on-demand software configuration.

[0015] Optionally, after migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the master control machine, the master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine, so that the all-in-one machine performs system deployment work, including:

[0016] The master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine;

[0017] After the all-in-one machine completes the deployment of the engineering configuration file, the master control machine controls the all-in-one machine to disconnect from the cloud platform and then restart to perform the deployment work including configuration release.

[0018] Optionally, after uploading the system image update data to the edge computing cloud platform, the master control machine controls the image template system in the edge computing cloud platform to generate the latest image template according to the system image update data and push it to the all-in-one machine, so that the all-in-one machine performs system update work, including:

[0019] The master control machine controls the image template system in the edge computing cloud platform to generate the operation instruction of the master control machine into an image template according to the uploaded system image update data;

[0020] The master control machine pulls the latest image template on the edge computing cloud platform and pushes it to the all-in-one machine, and the controller restarts to perform the deployment of the latest image template, that is, the all-in-one machine completes the system update work.

[0021] Optionally, after the master control machine controls the image template system in the edge computing cloud platform to generate the operation instruction of the master control machine into an image template according to the uploaded system image update data, it further includes:

[0022] After the all-in-one machine completes the deployment or update work, the master control machine cancels the management authority to be restored to the all-in-one machine;

[0023] The integrated machine restored from the main control machine obtains the generated image template from the control edge computing cloud platform and also completes the system update work. At this point, all the integrated machines have completed the system update work.

[0024] Optionally, when any integrated machine fails, the master machine uses management authority to pull the image in the edge computing cloud platform so that the integrated machine can restore the deployment system including the operating system and configuration software.

[0025] In a second aspect, an embodiment of the present invention provides an industrial control system based on a cloud platform, including:

[0026] Edge computing cloud platform, used to configure system images and system image update data;

[0027] An all-in-one machine connected to the edge computing cloud platform, which is a device used by the client;

[0028] The main control machine connected to the edge computing cloud platform is used to pull the system image on the edge computing cloud platform and push it to the all-in-one machine after migrating the system image to the edge computing cloud platform connected to the all-in-one machine and the main control machine respectively, so that the all-in-one machine can perform system deployment work; after uploading the system image update data to the edge computing cloud platform, the image template system in the edge computing cloud platform is controlled to generate the latest image template according to the system image update data and push it to the all-in-one machine, so that the all-in-one machine can perform system update work.

[0029] Optionally, the master control machine is a configured management device selected from the integrated machine according to the received system deployment instruction or system update instruction, and can be restored to the integrated machine after the integrated machine completes the deployment or update work.

[0030] Optionally, an image template system is provided in the edge computing cloud platform, and the image template system is used to create a new image, add / delete an image, and create a node image.

[0031] Optionally, the image template system includes:

[0032] An image creation module is used to create a base image including a single image and / or a node image;

[0033] Image adding / deleting module, used to add / delete image files in the edge computing cloud platform;

[0034] The image change module is used to add sub-node images, modify description information, and delete node images.

[0035] (III) Beneficial effects

[0036] The beneficial effects of the present invention are:

[0037] After the industrial control system of the present invention is deployed to the cloud platform, various production data can be stored centrally on a large scale. By using the cloud platform to uniformly deploy the host computer, the on-site devices become more intelligent, on-site configuration and debugging are more convenient and simple, and faults are easier to solve.

[0038] In view of the convenience and advancement of the cloud platform, relying on the configured master control machine, the present invention creatively publishes the system image to the all-in-one machine by using the cloud platform. At the same time, the update and operation and maintenance of the all-in-one machine do not need to be upgraded on-site, effectively saving capital and operating expenses. Therefore, by applying the solution of the present invention, the flexibility and scalability of the control system are greatly enhanced, and the demand for reconfiguring production resources within a short time under the conditions of the industrial Internet can be met. Brief Description of the Drawings

[0039] Figure 1 It is a schematic flow chart of a method for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0040] Figure 2 It is a personalized setting interface for software migration of a method for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0041] Figure 3 It is a schematic flow chart of the specific process of step S1 of a method for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0042] Figure 4 It is a schematic flow chart of the deployment process of an all-in-one machine of a method for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0043] Figure 5 It is a schematic flow chart of the specific process of step S2 of a method for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0044] Figure 6 It is a schematic flow chart of the update process of an all-in-one machine of a method for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0045] Figure 7 It is a schematic diagram of the composition of a system for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention;

[0046] Figure 8 It is an operation schematic diagram of an image template system of a system for deploying and operating and maintaining an industrial control system based on a cloud platform provided by the present invention. Detailed Embodiments

[0047] In order to better explain the present invention for easy understanding, the present invention will be described in detail below with reference to the accompanying drawings and through specific embodiments.

[0048] like Figure 1 As shown, an industrial control system deployment and operation and maintenance method based on a cloud platform proposed in an embodiment of the present invention includes: after migrating the system image to the edge computing cloud platform respectively connected to the all-in-one machine and the main control machine, the main control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine, so that the all-in-one machine performs system deployment work; after uploading the system image update data to the edge computing cloud platform, the main control machine controls the image template system in the edge computing cloud platform to generate the latest image template and pushes it to the all-in-one machine according to the system image update data, so that the all-in-one machine performs system update work; wherein the main control machine is a configured management device selected from the all-in-one machine according to the received system deployment instruction or system update instruction, and can be restored to the all-in-one machine after the all-in-one machine completes the deployment or update work.

[0049] After the present invention deploys the industrial control system on the cloud platform, various production data can be stored in a large-scale centralized manner, and the cloud platform can be used to uniformly deploy the host computer, making the on-site equipment more intelligent, the on-site configuration and debugging more convenient and simple, and the faults easier to solve.

[0050] In view of the convenience and advancement of the cloud platform, the present invention relies on the configured master control machine to creatively publish the system image to the all-in-one machine using the cloud platform. At the same time, the update and operation and maintenance of the all-in-one machine do not need to be upgraded on site, which effectively saves capital and operating expenses. Therefore, by applying the solution of the present invention, the flexibility and scalability of the control system are greatly enhanced, which can meet the needs of reconfiguring production resources in a short time under the conditions of the industrial Internet.

[0051] In order to better understand the above technical solution, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0052] Specifically, the present invention provides a cloud platform-based industrial control system deployment and operation and maintenance method, which includes:

[0053] S1. After migrating the system image to the edge computing cloud platform connected to the integrated machine and the main control machine respectively, the main control machine pulls the system image on the edge computing cloud platform and pushes it to the integrated machine, so that the integrated machine can perform system deployment.

[0054] Further, migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the master control machine includes: migrating the system image to the edge computing cloud platform and setting the system image to a permanently non-restoring state; generating a script file for the software related to the system image through a script tool, and migrating the registry information and configuration files in the script file to the target drive letter to achieve on-demand software configuration.

[0055] As Figure 2 shown, the system image containing the domestic operating system and engineering configuration migration migrates the configuration file information to the set drive letter to achieve personalized configuration for software use. When migrating, use the software migration script tool to generate a script file for the software to be migrated, and place the generated script file in the following directory C:\ProgramFiles\Client\backup. At this time, the software can be seen in the personalized software migration interface. For existing software, there is no need to use the tool to generate a script again. Check the software to be migrated, set the migration drive letter and click Apply, and the registry information and configuration files set in the script can be migrated to the target drive letter. The personalized settings made by ordinary users when logging in to the system can be retained.

[0056] Further, as Figure 3 shown, step S1 includes:

[0057] S11. The master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine.

[0058] S12. After the all-in-one machine completes the deployment of the engineering configuration file, the master control machine controls the all-in-one machine to disconnect from the cloud platform and then restart to perform the deployment work including configuration release.

[0059] As Figure 4 shown, in a specific embodiment, the master control machine pulls the domestic operating system and unconfigured FusionStudio software on the cloud platform, packages them into an image and pushes it to the all-in-one machine. After the all-in-one machine completes the deployment of the engineering configuration file, it disconnects from the cloud platform and restarts to perform FusionStudio configuration release.

[0060] S2. After uploading the system image update data to the edge computing cloud platform, the master control machine controls the image template system in the edge computing cloud platform to generate the latest image template based on the system image update data and push it to the all-in-one machine so that the all-in-one machine can perform system update work.

[0061] Further, as Figure 5 shown, step S2 includes:

[0062] S21. The main control machine controls the image template system in the edge computing cloud platform according to the uploaded system image update data to generate the operation instructions of the main control machine into an image template.

[0063] S22, the main control machine pulls the latest image template on the edge computing cloud platform and pushes it to the integrated machine. After the controller restarts, the latest image template is deployed, that is, the integrated machine completes the system update.

[0064] S23. After the all-in-one machine completes deployment or update, the main control machine cancels the management authority to restore it to the all-in-one machine.

[0065] S24, the integrated machine restored from the main control machine obtains the generated image template from the control edge computing cloud platform and also completes the system update work. At this point, all the integrated machines have completed the system update work.

[0066] like Figure 6 As shown in the figure, when the integrated machine needs to be updated, an incremental image needs to be created online. Shut down one of the integrated machines and configure it as a super management machine. The super management machine remotely operates the image template system in the management platform. After the machine is turned on, all operations of the super management machine are regarded as image templates. After the incremental update, the configuration can be completed.

[0067] Also refer to Figure 6 , it can be seen that when the system uses a super management machine, the ordinary integrated mechanism needs to be used as the super management machine. Select the menu item on the right side of the management client list to set up super management, select super management in the opened page, and check the image to be set.

[0068] Furthermore, when any integrated machine fails, the master machine uses the management authority to pull the image from the edge computing cloud platform so that the integrated machine can restore the deployment system including the operating system and configuration software. When the ordinary integrated machine system crashes, no on-site maintenance is required. After connecting the integrated machine to the management cloud platform, the operating system and configuration software are restored through the super-managed integrated machine. The master machine uses the management authority to pull the image. The ordinary integrated machine restarts and restores the partition, obtains the permission of the configuration data dedicated partition mnt / FS / FusionSite_DATA, writes the .publish / project.json file, and the ordinary machine completes the configuration release.

[0069] like Figure 7 As shown, the present invention also provides an industrial control system based on a cloud platform, comprising:

[0070] Edge computing cloud platform, used to configure system images and system image update data;

[0071] An all-in-one machine connected to the edge computing cloud platform, which is a device used by the client;

[0072] A main control machine connected to an edge computing cloud platform, which is used to pull the system image on the edge computing cloud platform and push it to an all-in-one machine after migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the main control machine, so that the all-in-one machine can perform system deployment work; after uploading the system image update data to the edge computing cloud platform, control the image template system in the edge computing cloud platform to generate the latest image template according to the system image update data and push it to the all-in-one machine, so that the all-in-one machine can perform system update work.

[0073] Among them, an image template system is set in the edge computing cloud platform, and the image template system is used to create new images, add / delete images, and create node images.

[0074] Furthermore, referring to Figure 8 , it can be known that the image template system includes: an image creation module for creating a basic image including a single image and / or a node image; an image addition / deletion module for adding / deleting image files in the edge computing cloud platform; an image modification module for performing operations such as adding sub-node images, modifying description information, and deleting node images on the node image.

[0075] In summary, the present invention provides a method and system for deploying and operating an industrial control system based on a cloud platform. First, the present invention uploads an image to the image server of the cloud platform through a web page; secondly, connects the cloud platform to multiple all-in-one machines, and automatically pulls the image files on the cloud platform for the first system deployment; furthermore, uses a super management all-in-one machine to update the system, uploads the latest image to the cloud platform, and the ordinary all-in-one machine pulls the latest image template in the restart and restore mode. After waiting for the pull to be completed, restart again to take effect.

[0076] The industrial control system installed based on the cloud platform disclosed by the present invention has high flexibility and can effectively utilize the convenience and advancement of the cloud platform. Installation and maintenance personnel do not need to install on-site. When the system needs to be reinstalled, professional technical support personnel can operate remotely. It effectively saves capital and operating expenses. When the equipment needs to be upgraded, there is no need to upgrade the equipment on-site, and the difficulty of migrating the equipment from old hardware to new hardware is greatly reduced.

[0077] Since the system / device described in the above embodiments of the present invention is the system / device adopted for implementing the method in the above embodiments of the present invention, based on the method described in the above embodiments of the present invention, those skilled in the art can understand the specific structure and deformation of the system / device, so it will not be elaborated here. Any system / device adopted by the method in the above embodiments of the present invention falls within the scope of protection of the present invention.

[0078] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0079] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions.

[0080] It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of components or steps not listed in the claim. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The present invention can be implemented by means of hardware including several different components and by means of a suitably programmed computer. In a claim listing several devices, several of these devices can be embodied by the same hardware. The use of the words first, second, third, etc. is only for the sake of convenience of expression and does not denote any order. These words can be understood as part of the component name.

[0081] In addition, it should be noted that in the description of this specification, the description of terms such as "an embodiment", "some embodiments", "embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0082] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications after learning the basic creative concepts. Therefore, the claims should be construed to include the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0083] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention should also cover these modifications and variations.

Claims

1. An industrial control system deployment and operation and maintenance method based on a cloud platform, characterized in that Including: After migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the master control machine, the master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine, so that the all-in-one machine can perform system deployment work; After uploading the system image update data to the edge computing cloud platform, the master control machine controls the image template system in the edge computing cloud platform to generate the latest image template according to the system image update data and pushes it to the all-in-one machine, so that the all-in-one machine can perform system update work; Among them, the master control machine is a configured management device selected from the all-in-one machine according to the received system deployment instruction or system update instruction. The operations of the configured management device after restart are all image templates. After the all-in-one machine completes the deployment or update work, the master control machine cancels the management permission and restores to the all-in-one machine. The restored all-in-one machine automatically obtains the latest image template from the edge computing cloud platform.

2. The industrial control system deployment and operation and maintenance method based on a cloud platform according to claim 1, characterized in that Migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the master control machine includes: Migrate the system image to the edge computing cloud platform and set the system image to a permanently non-restoring state; Generate a script file of the software related to the system image through a pre-set script tool, and migrate the registry information and configuration file in the script file to the target drive letter to achieve on-demand configuration of the software.

3. The industrial control system deployment and operation and maintenance method based on a cloud platform according to claim 1, characterized in that, After migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the master control machine, the master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine, so that the all-in-one machine can perform system deployment work includes: The master control machine pulls the system image on the edge computing cloud platform and pushes it to the all-in-one machine; After the all-in-one machine completes the deployment of the engineering configuration file, the master control machine controls the all-in-one machine to disconnect from the cloud platform and then restart to perform the deployment work including configuration release.

4. The industrial control system deployment and operation and maintenance method based on a cloud platform according to claim 1, characterized in that, After uploading the system image update data to the edge computing cloud platform, the master control machine controls the image template system in the edge computing cloud platform to generate the latest image template according to the system image update data and pushes it to the all-in-one machine, so that the all-in-one machine can perform system update work includes: The master control machine controls the image template system in the edge computing cloud platform to generate the operation instructions of the master control machine into the latest image template according to the uploaded system image update data; The master control machine pulls the latest image template on the edge computing cloud platform and pushes it to the all-in-one machine. After the controller restarts, the deployment of the latest image template is performed, that is, the all-in-one machine completes the system update work.

5. A method for deploying and operating an industrial control system based on a cloud platform according to any one of claims 1-4, characterized in that When any one of the all-in-one machines fails, the master control machine uses the management permission to pull the image in the edge computing cloud platform to enable the all-in-one machine to restore the deployment system including the operating system and configuration software.

6. An industrial control system based on a cloud platform, characterized in that, Including: The edge computing cloud platform is used to configure the system image and system image update data; The all-in-one machine connected to the edge computing cloud platform, and the all-in-one machine is a device used by the customer side; A main control machine connected to an edge computing cloud platform, which is used to pull the system image on the edge computing cloud platform and push it to an all-in-one machine after migrating the system image to the edge computing cloud platform separately connected to the all-in-one machine and the main control machine, so that the all-in-one machine can perform system deployment work; after uploading the system image update data to the edge computing cloud platform, control the image template system in the edge computing cloud platform to generate the latest image template according to the system image update data and push it to the all-in-one machine, so that the all-in-one machine can perform system update work; Among them, the main control machine is a configured management device selected from the all-in-one machine according to the received system deployment instruction or system update instruction. The operations of the configured management device after restart are all image templates. After the all-in-one machine completes the deployment or update work, the main control machine cancels the management authority and restores to the all-in-one machine. The restored all-in-one machine automatically obtains the latest image template from the edge computing cloud platform.

7. The industrial control system based on a cloud platform according to claim 6, wherein, The main control machine is a configured management device selected from the all-in-one machine according to the received system deployment instruction or system update instruction, and can be restored to the all-in-one machine after the all-in-one machine completes the deployment or update work.

8. An industrial control system based on a cloud platform according to claim 6, characterized in that, An image template system is set in the edge computing cloud platform, and the image template system is used to create new images, add / delete images, and create node images.

9. The industrial control system based on a cloud platform according to claim 8, wherein, The image template system includes: An image creation module, which is used to create a basic image including a single image and / or a node image; An image add / delete module, which is used to add / delete image files in the edge computing cloud platform; An image modification module, which is used to perform operations such as adding sub-node images, modifying description information, and deleting node images on the node image.

Images