CN115079648A - Intelligent industrial control system - Google Patents
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Abstract
The invention provides an intelligent industrial control system, which comprises an edge control layer, a data processing layer and a data processing layer, wherein the edge control layer comprises: the data acquisition module is used for respectively acquiring equipment data corresponding to each industrial equipment; the edge calculation module is used for receiving the equipment data and analyzing the equipment data respectively so as to extract key data from the equipment data and output the key data, and performing edge calculation on other equipment data except the key data to obtain corresponding calculation results and output the calculation results; the cloud service layer is used for receiving the key data and the operation result output by the edge calculation module, respectively processing the key data and the operation result to obtain corresponding decision information and outputting the decision information to the edge control layer; the edge calculation module is also used for controlling and managing the industrial equipment according to the decision information or the operation result. The method has the advantages that the device data can be rapidly analyzed by utilizing the edge algorithm to obtain the operation result so as to control the industrial device, and only a small amount of necessary key data is transmitted to the cloud service layer to be analyzed so as to obtain the decision information.
Description
Technical Field
The invention relates to the technical field of industrial control, in particular to an intelligent industrial control system.
Background
Industrial Control Systems (ICS, Industrial Control Systems for short) are business process Control Systems which are composed of various automation Control components and process Control components for collecting and monitoring real-time data and are used for ensuring the automation operation, process Control and monitoring of Industrial infrastructure.
With the development of Computer technology, communication technology, And Control technology, the structure of industrial Control systems has also been developed from the first CCS (Central Computer System), to the second generation DCS (Distributed Control System), to the now popular FCS (Fieldbus Control System), And currently, the industrial Control systems commonly used in the domestic industries of power, water conservancy, water utilities, smart manufacturing, And the like are SCADA (Supervisory Control And data acquisition And monitoring Control System) And PLC-based FCS (field bus Control System).
The industrial control system described above still has the following problems:
1) the network security and bandwidth problem, integrating Internet and related technologies into the existing control system, and directly exposing sensitive data information in the public network can cause the security risk problem of the system and data;
2) a large amount of data is transmitted in a network, so that network bandwidth resources are in shortage, system delay is caused, and real-time performance of the system is influenced;
3) by adopting a wired mode, although the industrial control has high reliability, the flexibility is poor, the efficiency is low, and the method is not suitable for complex industrial application scenes;
4) the support of a high-efficiency control task scheduling algorithm is lacked;
5) by adopting the functional design of configuration software, the data acquisition is carried out in a polling mode, which can cause incomplete data acquisition and easy data error.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an intelligent industrial control system which is configured on an industrial site, wherein a plurality of industrial devices are arranged in the industrial site;
the intelligent industrial control system comprises:
an edge control layer comprising:
the data acquisition module is used for respectively acquiring equipment data corresponding to each industrial equipment;
the edge calculation module is connected with the data acquisition module through a data transmission module and is used for receiving the equipment data transmitted by the data transmission module, analyzing each piece of equipment data respectively, extracting key data from the equipment data and outputting the key data, and performing edge operation on other equipment data except the key data to obtain corresponding operation results and outputting the operation results;
the cloud service layer runs above the edge control layer and is used for receiving the key data and the operation result output by the edge calculation module, respectively processing the key data and the operation result to obtain corresponding decision information and outputting the decision information to the edge control layer;
and the edge calculation module is also used for controlling and managing the corresponding industrial equipment according to the decision information or the operation result.
Preferably, each industrial device is a production device, an environment sensing device, a video monitoring device and an access control management device, and the data acquisition module includes:
the production data acquisition unit is used for acquiring the equipment data corresponding to the production equipment;
the environment data acquisition unit is used for acquiring the equipment data corresponding to the environment sensing equipment;
the video data acquisition unit is used for acquiring the equipment data corresponding to the video monitoring equipment;
and the access control data acquisition unit is used for acquiring the equipment data corresponding to the access control management equipment.
Preferably, the data transmission module includes:
the production data acquisition unit is used for acquiring production data of the equipment;
and the second transmission unit is used for respectively transmitting the environmental data acquisition unit, the video data acquisition unit and the equipment data output by the access control data acquisition unit.
Preferably, the first transmission unit is a PLC device.
Preferably, the second transmission unit is a moving-ring host.
Preferably, the edge computing module is an edge gateway, and the edge gateway receives the device data transmitted by the data transmission module in a multi-core configuration data acquisition manner.
Preferably, a cloud server is arranged in the cloud service layer, and the cloud server is configured to analyze the key data to obtain corresponding decision information and output the decision information to the edge control layer, and determine whether the operation result is abnormal, analyze the operation result when the operation result is abnormal to obtain corresponding decision information and output the decision information to the edge control layer.
Preferably, each piece of device data includes a corresponding authority level of the industrial device, and the edge calculation module includes a data processing unit, configured to determine, for each piece of device data, whether the authority level corresponding to the piece of device data is within a preset level range, perform edge calculation on the piece of device data when the authority level is within the level range to obtain a corresponding calculation result, and output the calculation result to the cloud service layer; or
And when the authority level is not in the level range, outputting the device data serving as the key data to the cloud service layer.
Preferably, the edge calculation module includes:
the first control unit is used for generating instant decision information according to the operation result and controlling and managing the industrial equipment corresponding to the equipment data according to the instant decision information; and
when the decision information which is related to the operation result and fed back by the cloud service layer is received, the industrial equipment corresponding to the equipment data is controlled and managed according to the decision information;
and the second control unit is used for controlling and managing the industrial equipment corresponding to the key data according to the decision information which is output by the cloud service layer and is related to the key data.
Preferably, before the data processing unit outputs the key data and the operation result to the cloud service layer, a verification signal is output to the cloud service layer, and the cloud service layer outputs a corresponding certificate according to the verification signal, so that the edge calculation module further includes a communication protection unit connected to the data processing unit, including:
the first protection subunit is used for comparing the certificate with server information corresponding to the cloud service layer downloaded in advance and controlling the data processing unit to perform data transmission with the cloud service layer when the certificate is consistent with the server information; and
when the certificate is inconsistent with the server information, controlling the data processing unit to stop data transmission with the cloud service layer;
the second protection subunit is used for encrypting the key data and the operation result through a SM2 encryption technology and controlling the data processing unit to output the encrypted key data and the encrypted operation result to the cloud service layer;
and the third protection subunit is used for configuring a firewall architecture to monitor the network communication behavior of the data processing unit and report the malicious communication behavior to the cloud service layer when the malicious communication behavior is found.
The technical scheme has the following advantages or beneficial effects:
1) the communication protection unit in the system adopts a network protection strategy of three-layer safety protection to ensure that the system is prevented from being attacked by the network. The safety and stability of the system are ensured, and meanwhile, the safety, privacy and integrity of key data and operation results in the transmission process are ensured;
2) the edge computing module in the system only transmits a small amount of necessary key data to the cloud service layer, so that the pressure of the cloud service layer for processing the data can be reduced, the dependence on network bandwidth can be reduced, the user requirements can be quickly responded, and the timeliness is improved.
3) The edge control layer in the system is in communication connection with the cloud service layer and the industrial equipment through the wireless network, so that the system is high in flexibility and efficiency and can adapt to complex industrial application scenes;
4') the edge calculation module in the system is provided with an efficient edge algorithm, so that an operation result can be obtained quickly according to equipment data analysis;
5) the edge computing module in the system is an edge gateway, and the multi-core configuration data acquisition mode is adopted to concurrently acquire the equipment data, so that the problems of incomplete data acquisition and easy data error caused by a polling mechanism in the traditional configuration software are solved.
Drawings
FIG. 1 is a schematic diagram of the system in accordance with the preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of a data acquisition module according to a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of a data transmission module according to a preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of the structure of an edge calculation module according to a preferred embodiment of the present invention;
fig. 5 is a schematic diagram of a communication protection unit according to a preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be made within the scope of the present invention as long as the gist of the present invention is satisfied.
In view of the above problems in the prior art, the present invention provides an intelligent industrial control system configured in an industrial site, wherein a plurality of industrial devices are installed in the industrial site;
the intelligent industrial control system is as shown in fig. 1, and comprises:
an edge control layer 1 comprising:
the data acquisition module 11 is used for respectively acquiring equipment data corresponding to each industrial equipment;
the edge calculation module 12 is connected with the data acquisition module 11 through a data transmission module 13, and is used for receiving the equipment data transmitted by the data transmission module 12, analyzing each equipment data respectively, extracting key data from the equipment data and outputting the key data, and performing edge calculation on other equipment data except the key data to obtain corresponding calculation results and outputting the calculation results;
the cloud service layer 2 runs above the edge control layer 1 and is used for receiving the key data and the operation result output by the edge calculation module 12, respectively processing the key data and the operation result to obtain corresponding decision information and outputting the decision information to the edge control layer 1;
the edge calculation module 12 is further configured to control and manage the corresponding industrial equipment according to the decision information or the operation result.
Specifically, in this embodiment, the system adopts an informatization and industrialized high-level deep fusion technical route, drives industrialization through informatization, promotes informatization through industrialization, constructs a novel intelligent industrial control system through emerging information technologies such as edge computing, network communication, big data, internet of things and cloud computing, and utilizes the information technology to strengthen interconnection and intercommunication among modules in the system, thereby realizing deep networking, intelligentization and fusion development, and further changing the traditional production mode and improving the management level and the production efficiency.
Specifically, in the present embodiment, the system uses the edge calculation module 12 as the "brain" of the entire intelligent industrial control system. The edge calculation module 12 is internally provided with an efficient edge algorithm, partial data processing capacity of the system is preposed to the edge calculation module 12 in the edge control layer 1, only a small amount of equipment data is transmitted to the cloud service layer 2 as key data for analysis and processing, the pressure of the cloud service layer 2 for processing the data can be effectively reduced, the dependence on network bandwidth is reduced, and the timeliness is improved.
Preferably, the system also supports communication rule operations such as multi-network fusion, network automatic switching, network communication rule setting and the like, so as to meet the requirements of networks in different industrial environments and application scenes and improve the universality, stability and reliability of the system.
Preferably, the edge computing module 12 may perform setting of algorithm strategies such as a remote deployment algorithm library, a security protection strategy, a multi-network fusion strategy, and the like through the cloud service layer 2, provide edge computing capability of an edge side, and implement edge processing of real-time device data.
Specifically, in the embodiment, the edge control layer 1 communicates with the application service in the cloud service layer 2 through a network (wired, 4G/5G, NB, etc.) to complete remote monitoring, management and service of industrial production.
In a preferred embodiment of the present invention, each industrial device is a production device, an environmental sensing device, a video monitoring device, and an access control management device, and the data acquisition module 11 is shown in fig. 2 and includes:
at least one production data acquisition unit 111, configured to acquire device data corresponding to production devices;
at least one environmental data collecting unit 112, configured to collect device data corresponding to the environment sensing device;
the video data acquisition unit 113 is used for acquiring equipment data corresponding to the video monitoring equipment;
and the access control data acquisition unit 114 is used for acquiring the device data corresponding to the access control management device.
Specifically, in this embodiment, considering that industrial devices in an industrial field are roughly classified into production type devices, environment sensing type devices, video monitoring type devices and access control management type devices, in this embodiment, four data acquisition units are provided in the data acquisition module 11 to perform point-to-point and end-to-end device data acquisition, during specific operation, the production data acquisition unit 111 acquires device data corresponding to the production type devices, the environment data acquisition unit 112 acquires device data corresponding to the environment sensing type devices, the video data acquisition unit 113 acquires device data corresponding to the video monitoring type devices, and the access control data acquisition unit 114 acquires device data corresponding to the access control management type devices, so that the order of device data acquisition can be ensured, and acquisition errors are avoided.
Preferably, the comprehensive sensing and control management of an industrial field can be completed by collecting the equipment data of the production equipment, the environment sensing equipment, the video monitoring equipment and the entrance guard management equipment, and the basic data support of equipment information and control management is provided for unattended and intelligent operation of industrial production.
Preferably, the data acquisition unit in the data acquisition module 11 is a sensor of various types, and is configured to convert the operation state, the pressure, the liquid level, the motion image, and other device data of the industrial field industrial device into a standard PLC signal or a controllable signal of the moving-loop host for output.
Preferably, the standard PLC signal or the controllable signal of the moving-loop host is an analog signal, a digital signal, a video signal, or the like.
In a preferred embodiment of the present invention, as shown in fig. 3, the data transmission module 13 includes:
at least one first transmission unit 131, configured to transmit the device data output by the production data acquisition unit 111;
and the at least one second transmission unit 132 is used for respectively transmitting the device data output by the environment data acquisition unit 112, the video data acquisition unit 113 and the access control data acquisition unit 114.
Specifically, in this embodiment, the data transmission module 13 and the edge computing module 12 are connected by a standard internet of things access method, such as modbus, opua, and the like.
In a preferred embodiment of the present invention, the first transmission unit 131 is a PLC device.
Specifically, in this embodiment, a PLC device is adopted as the first transmission unit 131, and is used to connect the production data acquisition unit 111 to the edge computing module 12 and establish data communication, so as to help complete data acquisition and control management of an industrial field production device.
In the preferred embodiment of the present invention, the second transmission unit 132 is a moving-ring host.
Specifically, in this embodiment, the dynamic host is used as the second transmission unit 132, and is configured to access the environment data acquisition unit 112, the video data acquisition unit 113, and the access control data acquisition unit 114 to the edge computing module 12 and establish data communication, so as to help complete data acquisition and control management of the industrial field environment sensing device, the video monitoring device, and the access control management device.
In a preferred embodiment of the present invention, the edge computing module 12 is an edge gateway, and the edge gateway receives the device data transmitted by the data transmission module 13 by using a multi-core configuration data acquisition method.
Specifically, in this embodiment, the edge gateway is used as the edge calculation module 12 to become the "brain" of the system, the edge gateway performs real-time analysis, intelligent processing and edge algorithm processing on the device data, and only a small amount of device data is uploaded to the cloud service layer 2 as key data, so that the rationality and efficiency of data processing are improved.
Preferably, the traditional configuration software adopts a polling mechanism to acquire device data, which may result in incomplete data acquisition and easy data error, and the edge gateway in this embodiment adopts a multi-core configuration data acquisition mode to concurrently acquire device data, which may effectively solve the problems of incomplete data acquisition and easy data error.
Preferably, assuming that there are 100 industrial devices in the industrial field, the conventional configuration software uses a polling mechanism to first query whether the first industrial device has device data, and when there is device data, obtain the device data, and then query the second industrial device, and when there is no device data, turn to query the second industrial device until the 100 th industrial device is queried, and repeat a round again, and the edge gateway in this embodiment uses a multi-core configuration data obtaining manner, that is, queries whether there is device data in 100 industrial devices simultaneously and continuously, and obtains the device data when there is device data.
In a preferred embodiment of the present invention, a cloud server 21 is disposed in the cloud service layer 2, and the cloud server 21 is configured to analyze the key data to obtain corresponding decision information and output the decision information to the edge control layer 1, and determine whether the operation result is abnormal, and analyze the operation result when the operation result is abnormal to obtain corresponding decision information and output the decision information to the edge control layer 1.
Specifically, in this embodiment, the cloud server 21 not only has a function of analyzing the key data to obtain the decision information, but also has a function of analyzing whether the operation result is abnormal, and when the cloud server 21 determines that the operation result is abnormal, the operation result is secondarily analyzed to obtain the corresponding decision information and output the decision information to the edge control layer 1, so as to control the edge calculation module 12 to correct the abnormal operation result according to the decision information and control and manage the corresponding industrial device according to the decision information.
Specifically, in this embodiment, the cloud server 21 may further deploy various industrial application service systems, develop a modern industrial comprehensive management new ecosystem by relying on advanced information technologies such as cloud computing, artificial intelligence, internet of things, and big data mobile internet, and integrate industrial data such as industrial scheduling, device management and control, Geographic Information (GIS), business charging, and the like, break through an "information isolated island" of the traditional industry, implement data + service integrated management, form a complete industrial big data platform, and implement data integrated management by using the advantages of cloud big data processing, fully mine data values, improve work efficiency, provide references for intelligent industrial management decisions, and improve management and service levels.
In a preferred embodiment of the present invention, each device data includes an authority level of the corresponding industrial device, and the edge calculation module 12 includes, as shown in fig. 4, a data processing unit 121, configured to determine, for each device data, whether the authority level corresponding to the device data is within a preset level range, perform edge calculation on the device data when the authority level is within the level range, obtain a corresponding calculation result, and output the calculation result to the cloud service layer 2; or
And when the authority level is not in the level range, outputting the device data serving as key data to the cloud service layer 2.
Specifically, in this embodiment, the edge calculation module 12 mainly discriminates the key data for the authority level of the industrial device, and since the edge calculation module 12 has a certain data processing capability, most of the device data is directly analyzed and processed by the edge calculation module 12, and only a small amount of the key data is uploaded to the cloud service layer 2 for analysis and processing.
Preferably, when the edge calculation module 12 determines that the authority level of the industrial device corresponding to the device data is within the self-set level range, the device data is directly analyzed according to the edge algorithm to obtain a corresponding operation result, and when the edge calculation module 12 determines that the authority level of the industrial device corresponding to the device data is not within the self-set level range, the device data is uploaded to the cloud service layer 2 as key data.
In a preferred embodiment of the present invention, the edge calculation module 12 includes:
a first control unit 122, configured to generate an immediate decision information according to the operation result and perform control management on the industrial device corresponding to the device data according to the immediate decision information; and
when decision information of the correlation operation result fed back by the cloud service layer 2 is received, controlling and managing the industrial equipment corresponding to the equipment data according to the decision information;
the second control unit 123 is configured to control and manage the industrial device corresponding to the key data according to the decision information of the associated key data output by the cloud service layer 2.
Specifically, in this embodiment, the cloud service layer 2 performs unified anomaly analysis on the operation result uploaded within a period of time, so that even if the cloud service layer 2 finds that the operation result is abnormal, the decision information issued by the cloud service layer 2 according to the abnormal operation result also has a certain delay, so that the first control unit 122 firstly takes the operation result as the immediate decision information to perform control management on the industrial device corresponding to the device data, and when subsequently receiving the decision information of the associated operation result fed back by the cloud service layer 2, takes the decision information as the immediate decision information to perform control management on the industrial device corresponding to the device data.
Preferably, taking the device data of the access control management device as an example, the edge calculation module 12 determines that the authority level of the access control management device is within the authority range set by itself, and directly analyzes the device data by using an edge algorithm to obtain a corresponding operation result, for example, the operation result represents to open the door, the edge calculation module 12 directly controls the access control management device to open the door according to the operation result, and the operation result is uploaded to the cloud service layer 2 in real time, the cloud service layer 2 analyzes the operation result within a period of time, and when it is found that the operation result representing to open the door is excessive within the period of time, the cloud server 2 issues decision information representing to limit the door opening times to the edge calculation module 12 according to the operation result, the edge calculation module 12 controls the door opening times of the access control management device according to the decision information, and when the door opening times of the access control management device reaches the limit door opening times, the operation result of the edge calculation module 12 represents that the door is not opened.
In a preferred embodiment of the present invention, before the data processing unit 121 outputs the key data and the operation result to the cloud service layer 2, a verification signal is output to the cloud service layer 2, and the cloud service layer 2 outputs the corresponding certificate according to the verification signal, then the edge calculation module 12 further includes a communication protection unit 124 connected to the data processing unit 121, as shown in fig. 5, including:
a first protection subunit 1241, configured to compare the credential with server information corresponding to the cloud service layer 2 downloaded in advance, and control the data processing unit 121 to perform data transmission with the cloud service layer 2 when the credential matches the server information; and
when the certificate does not accord with the server information, the data processing unit 121 is controlled to stop data transmission with the cloud service layer 2;
a second protection subunit 1242, configured to encrypt the key data and the operation result through the cryptographic SM2 encryption technology, and control the data processing unit 121 to output the encrypted key data and the encrypted operation result to the cloud service layer 2;
a third protection subunit 1243, configured to configure a firewall architecture to monitor the network communication behavior of the data processing unit 121 and report the malicious communication behavior to the cloud service layer 2 when the malicious communication behavior is found.
Specifically, in this embodiment, the communication protection unit 124 performs security protection on the data processing unit 121 by using a network protection policy of "three-layer security protection", performs credential verification protection between the cloud server 21 and the data processing unit 121 by using the first protection subunit 1241, performs encryption protection on the key data and the operation result by using the third protection subunit 1243, performs network communication behavior protection by using the third protection subunit 1243, and protects the data processing unit 121 from network attack, thereby ensuring the security, privacy, and integrity of the key data and the operation result in the communication transmission process.
The first embodiment is as follows:
the secondary water supply pump house remote monitoring management system is an intelligent industrial control system combining the traditional industrial control technology, the Internet of things technology and the micro-service architecture technology, the system is used for realizing the acquisition and analysis of related data of a secondary water supply pump house, the comprehensive monitoring of the secondary water supply pump house is realized, a secondary water supply facility operation maintenance management file is established, the scientific scheduling of secondary water supply is realized, the management cost is reduced, the strain capacity of water supply emergencies is improved, the safe water supply is better realized, the energy conservation and the efficiency improvement are realized, the image is improved, the personal quality of staff is promoted, and the water supply operation benefit of enterprises is improved.
After various sensing equipment in the water supply pump house collected data, simple data collection is carried out by PLC equipment and rotating ring host computer at different levels, then carry out edge calculation to data through the edge gateway, only send the operation result of edge calculation to high in the clouds service layer 2 or send the key data that high in the clouds service layer 2 required to high in the clouds service layer 2 and carry out cloud calculation processing, simultaneously, the service information and the decision-making information of high in the clouds service layer 2 can be controlled industrial equipment under the edge gateway, accomplish the remote management of pump house, in order to realize the unattended operation of pump house, application scenes such as wisdom operation, the operating efficiency and the water supply quality of service of secondary water supply pump house are improved.
The industrial control system architecture of cloud computing and edge computing moves computing, storage, communication and the like to the edge of an infrastructure architecture, so that the pressure of the cloud computing architecture on cost, time delay and data analysis can be relieved to a certain extent, the edge computing technology provides edge computing capability for an edge gateway, real-time service processing is achieved, a computing processing mode of equipment data is judged and determined according to task requirements or the authority of the edge gateway and an edge algorithm, the real-time performance of data processing is further improved, and the service of an IOT application scene in the smart water service is completed through mutual fusion and cooperative processing of the edge computing and the cloud computing.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. An intelligent industrial control system is characterized by being configured on an industrial site, wherein a plurality of industrial devices are arranged in the industrial site;
the intelligent industrial control system comprises:
an edge control layer comprising:
the data acquisition module is used for respectively acquiring equipment data corresponding to each industrial equipment;
the edge calculation module is connected with the data acquisition module through a data transmission module and is used for receiving the equipment data transmitted by the data transmission module, analyzing each piece of equipment data respectively, extracting key data from the equipment data and outputting the key data, and performing edge operation on other equipment data except the key data to obtain corresponding operation results and outputting the operation results;
the cloud service layer runs above the edge control layer and is used for receiving the key data and the operation result output by the edge calculation module, respectively processing the key data and the operation result to obtain corresponding decision information and outputting the decision information to the edge control layer;
and the edge calculation module is also used for controlling and managing the corresponding industrial equipment according to the decision information or the operation result.
2. The intelligent industrial control system of claim 1, wherein each industrial device is a production device, an environmental sensing device, a video monitoring device, and an access control management device, and the data acquisition module comprises:
the production data acquisition unit is used for acquiring the equipment data corresponding to the production equipment;
the environment data acquisition unit is used for acquiring the equipment data corresponding to the environment sensing equipment;
the video data acquisition unit is used for acquiring the equipment data corresponding to the video monitoring equipment;
and the access control data acquisition unit is used for acquiring the equipment data corresponding to the access control management equipment.
3. The intelligent industrial control system of claim 2, wherein the data transmission module comprises:
the first transmission unit is used for transmitting the equipment data output by the production data acquisition unit;
and the second transmission unit is used for respectively transmitting the environmental data acquisition unit, the video data acquisition unit and the equipment data output by the access control data acquisition unit.
4. The intelligent industrial control system of claim 3, wherein the first transmission unit is a PLC device.
5. The intelligent industrial control system of claim 3, wherein the second transmission unit is a rotating ring master.
6. The intelligent industrial control system according to claim 1, wherein the edge computing module is an edge gateway, and the edge gateway receives the device data transmitted by the data transmission module by using a multi-core configuration data acquisition method.
7. The intelligent industrial control system according to claim 1, wherein a cloud server is disposed in the cloud service layer, and the cloud server is configured to analyze the key data to obtain the corresponding decision information and output the decision information to the edge control layer, and determine whether the operation result is abnormal, and analyze the operation result when the operation result is abnormal to obtain the corresponding decision information and output the decision information to the edge control layer.
8. The intelligent industrial control system according to claim 1, wherein each piece of device data includes an authority level of the corresponding industrial device, and the edge calculation module includes a data processing unit configured to determine, for each piece of device data, whether the authority level corresponding to the piece of device data is within a preset level range, perform edge calculation on the piece of device data when the authority level is within the level range to obtain a corresponding calculation result, and output the calculation result to the cloud service layer; or
And when the authority level is not in the level range, outputting the device data serving as the key data to the cloud service layer.
9. The intelligent industrial control system of claim 7, wherein the edge calculation module comprises:
the first control unit is used for generating instant decision information according to the operation result and controlling and managing the industrial equipment corresponding to the equipment data according to the instant decision information; and
when the decision information which is related to the operation result and fed back by the cloud service layer is received, the industrial equipment corresponding to the equipment data is controlled and managed according to the decision information;
and the second control unit is used for controlling and managing the industrial equipment corresponding to the key data according to the decision information which is output by the cloud service layer and is related to the key data.
10. The intelligent industrial control system according to claim 8, wherein the data processing unit outputs a verification signal to the cloud service layer before outputting the key data and the operation result to the cloud service layer, and the cloud service layer outputs a corresponding certificate according to the verification signal, and the edge computing module further includes a communication protection unit connected to the data processing unit, including:
the first protection subunit is used for comparing the certificate with server information corresponding to the cloud service layer downloaded in advance and controlling the data processing unit to perform data transmission with the cloud service layer when the certificate is consistent with the server information; and
when the certificate is inconsistent with the server information, controlling the data processing unit to stop data transmission with the cloud service layer;
the second protection subunit is used for encrypting the key data and the operation result by using a secret SM2 encryption technology and controlling the data processing unit to output the encrypted key data and the encrypted operation result to the cloud service layer;
and the third protection subunit is used for configuring a firewall architecture to monitor the network communication behavior of the data processing unit and report the malicious communication behavior to the cloud service layer when the malicious communication behavior is found.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115657593A (en) * | 2022-11-16 | 2023-01-31 | 北京邮电大学 | PLC system supporting edge calculation |
| CN116367108A (en) * | 2023-05-31 | 2023-06-30 | 标格达精密仪器（广州）有限公司 | Workshop safety monitoring system based on cloud computing |
| CN117471982A (en) * | 2023-11-07 | 2024-01-30 | 广东知业科技有限公司 | Method for remotely controlling PLC (programmable logic controller) through edge calculation |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115657593A (en) * | 2022-11-16 | 2023-01-31 | 北京邮电大学 | PLC system supporting edge calculation |
| CN115657593B (en) * | 2022-11-16 | 2023-08-18 | 北京邮电大学 | PLC system supporting edge calculation |
| CN116367108A (en) * | 2023-05-31 | 2023-06-30 | 标格达精密仪器（广州）有限公司 | Workshop safety monitoring system based on cloud computing |
| CN116367108B (en) * | 2023-05-31 | 2023-08-15 | 标格达精密仪器（广州）有限公司 | Workshop safety monitoring system based on cloud computing |
| CN117471982A (en) * | 2023-11-07 | 2024-01-30 | 广东知业科技有限公司 | Method for remotely controlling PLC (programmable logic controller) through edge calculation |
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