Edge computing control system based on APC server and cloud

Abstract

The utility model provides an edge computing control system based on an APC server and a cloud end. The edge computing control system comprises the cloud end, the APC server, an engineer station, an edge computing controller and industrial field equipment, the industrial field device is used for collecting industrial field data and sending the industrial field data to the edge computing controller; the edge computing controller is used for computing the industrial field data and sending a computing result to the engineer station; the engineer station is used for sending the operation result to the cloud end or the APC server; the cloud is used for storing and re-operating the operation result; and the APC server is used for generating a control instruction according to the operation result and providing the control instruction to the edge computing controller through the engineer station, so that the edge controller provides the control instruction to the corresponding industrial field equipment. The edge computing control system based on the APC server and the cloud can realize high-end, efficient, safe and intelligent industrial control.

Description

Technical Field

[0001] The utility model relates to the technical field of edge computing, and in particular to an edge computing control system based on an APC server and a cloud. Background Art

[0002] In the IoT industry, the storage and processing of large amounts of data are typically performed in the cloud. This is because the cloud has the computing resources to perform complex data analysis. However, as data volumes continue to grow, cloud computing has begun to face challenges, such as network data security, transmission latency, and the costly bandwidth consumption of large amounts of data. This is why edge computing has emerged. Processing and computing data from industrial field devices at the edge—the point where data is generated—can avoid these issues and enable the cloud to meet the demands of immediate response and real-time applications.

[0003] At the same time, with the development of Industry 4.0, traditional PID (Proportion Integral Differential) control is no longer sufficient for complex industrial scenarios, giving rise to APC (Advanced Process Control). While there's no strict, unified definition of APC, advanced process control generally refers to any control strategy that differs from conventional PID control and offers superior control performance. These strategies include adaptive control, predictive control, fuzzy control, neural network control, and model-based control. APC is a multivariable, advanced industrial control technology and an artificial intelligence-based industrial control approach.

[0004] Therefore, how to realize edge computing control based on cloud and APC control has become a hot research topic. Utility Model Content

[0005] In view of the shortcomings of the existing technology mentioned above, the purpose of the present invention is to provide an edge computing control system based on APC server and cloud, which can combine cloud and APC control to realize edge computing control, thereby realizing high-end, efficient, safe and intelligent industrial control.

[0006] To achieve the above-mentioned objectives and other related objectives, the present invention provides an edge computing control system based on an APC server and a cloud, including a cloud, an APC server, an engineer station, an edge computing controller, and industrial field equipment; the industrial field equipment is used to collect industrial field data and send it to the edge computing controller; the edge computing controller is used to perform calculations on the industrial field data and send the calculation results to the engineer station; the engineer station is used to send the calculation results to the cloud or the APC server; the cloud is used to store and recalculate the calculation results; the APC server is used to generate control instructions based on the calculation results and provide the control instructions to the edge computing controller via the engineer station, so that the edge controller provides the control instructions to the corresponding industrial field equipment.

[0007] In one embodiment of the present invention, the edge computing controller includes a DI module, a DO module, an AI module, an AO module, a thermocouple module, a thermal resistor module, a switch module, a 5G module, a COM module and a CPU module; the DI module is used to realize digital input, the DO module is used to realize digital output, the AI module is used to realize analog input, the AO module is used to realize analog output, the thermocouple module is used to realize thermocouple acquisition, the thermal resistor module is used to realize thermal resistor acquisition, the switch module is used to realize switch function, the 5G module is used to realize 5G communication, the COM module is used to realize RS485 communication, and the CPU module is used to realize edge data calculation and instruction issuance functions.

[0008] In one embodiment of the present invention, the edge computing controller adopts PLC.

[0009] In one embodiment of the present invention, the industrial field device includes one or more combinations of a control valve, an actuator, a transmitter, a flow meter, and a temperature meter.

[0010] In one embodiment of the present invention, the cloud is further configured to send the recalculated data to the APC server; and the APC server is further configured to generate control instructions based on the recalculated data.

[0011] In one embodiment of the present invention, the APC server is also used to send the control instructions to the cloud; the cloud is also used to provide the control instructions to the edge computing controller via the engineer station, so that the edge controller provides the control instructions to the corresponding industrial field equipment.

[0012] In one embodiment of the present invention, the cloud and the APC server are also used to directly interact with the edge computing controller for data.

[0013] As described above, the edge computing control system based on the APC server and the cloud described in the present invention has the following beneficial effects:

[0014] (1) Based on APC control, advanced algorithm control such as model prediction, neural network control, adaptive control, and fuzzy control can be performed to realize the construction of intelligent and smart factories;

[0015] (2) Based on the cloud, it can perform functions such as big data storage and computing, historical data analysis, and command issuance;

[0016] (3) The edge computing controller is equipped with complete IO modules, wired and wireless communication modules, and a CPU module, which can perform edge data calculations and ensure data security;

[0017] (4) It can take into account big data storage, data security performance, APC intelligent algorithm control, edge computing and other functions, and realize high-end, efficient, safe and intelligent industrial control;

[0018] (5) It can be applied in the industrial field and has advantages such as wider applicability, more stable control performance, and more secure data protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Shown is a schematic diagram of the structure of an edge computing control system based on an APC server and a cloud in one embodiment of the present invention;

[0020] Figure 2 Shown is a schematic diagram of the architecture of an edge computing control system based on an APC server and a cloud in one embodiment of the present invention. DETAILED DESCRIPTION

[0021] The following describes the implementation of the present invention through specific embodiments. People familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.

[0022] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for understanding and reading by those familiar with this technology, and are not used to limit the conditions for implementation of the present invention. Therefore, they have no substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size should still fall within the scope of the technical content disclosed in the present invention without affecting the efficacy and purpose of the present invention. At the same time, terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description and are not used to limit the scope of implementation of the present invention. Changes or adjustments in their relative relationships should also be considered as the scope of implementation of the present invention without substantially changing the technical content.

[0023] In the edge computing control system based on the APC server and the cloud, the cloud and the APC server can serve as the engineering station. The edge computing controller is equivalent to the actuator, responsible for direct communication with industrial field equipment. It also belongs to the edge of the device and can perform data calculation and preprocessing on the edge of the device. Therefore, the edge computing control system based on the APC server and the cloud can combine the cloud and APC control to realize edge computing control, thereby realizing high-end, efficient, safe and intelligent industrial control.

[0024] like Figure 1 and Figure 2 As shown, in one embodiment, the edge computing control system based on the APC server and the cloud of the present invention includes a cloud 1, an APC server 2, an engineer station 3, an edge computing controller 4 and an industrial field device 5.

[0025] The industrial field device 5 is used to collect industrial field data and send it to the edge computing controller. The industrial field device 5 includes one or more combinations of control valves, actuators, transmitters, flow meters, and temperature meters.

[0026] The edge computing controller 4 is connected to the industrial field equipment 5 and is used to perform operations on the industrial field data and send the operation results to the engineer station 3. In one embodiment, the edge computing controller 4 includes a DI (Digital Input) module, a DO (Digital Output) module, an AI (Analog Input) module, an AO module (Analog Output), a thermocouple module (TC), a thermal resistor module (RTD), a switch module, a 5G module, a COM module and a CPU module. The DI module is used to implement digital input, the DO module is used to implement digital output, the AI module is used to implement analog input, the AO module is used to implement analog output, the thermocouple module is used to implement thermocouple acquisition, the thermal resistor module is used to implement thermal resistor acquisition, the switch module is used to implement switch functions, the 5G module is used to implement 5G communication, the COM module is used to implement RS485 communication, and the CPU module is used to implement edge data calculation and instruction issuance functions. Through the above modules, data and instruction interaction between the edge computing controller 4 and the industrial field equipment 5 is realized. In one embodiment, the edge computing controller 4 adopts PLC.

[0027] The engineer station 3 is connected to the cloud 1 and the APC server 2 and is used to send the calculation results to the cloud 1 or the APC server 2. The engineer station 3 is used to complete system offline configuration, configuration, data download and other functions, that is, to realize offline data interaction between the edge computing controller 4 and the cloud 1 and the APC server 2.

[0028] The cloud 1 is used to store and recalculate the calculation results.

[0029] The APC server 2 is configured to generate control instructions based on the computation results and provide the control instructions to the edge computing controller 4 via the engineering station, so that the edge controller 4 provides the control instructions to the corresponding industrial field device 5. The APC server can optimize the system's control algorithm to achieve efficient control, ultimately guiding industrial field production and realizing the construction of intelligent factories.

[0030] The following describes in detail the workflow of the edge computing control system based on APC server and cloud in this utility model.

[0031] After the industrial field devices collect industrial field data, they select different modules based on the different data types and device interfaces of the industrial field devices to provide the data to the edge computing controller. For example, if the industrial field data is digital, the DI module is selected; if the industrial field data is analog, the AI module is selected. If RS485 communication is used between the industrial field devices and the edge computing controller, the COM module is selected; if Ethernet communication is used, the switch module is selected. The edge computing controller processes and calculates the industrial field data and sends the calculation results to the engineering station. The engineering station can then send the calculation results to the cloud or the APC server. The cloud can store and recalculate the calculation results; the APC server can perform prediction and control optimization based on the calculation results, outputting more efficient control instructions. The optimized control instructions issued by the APC server can effectively improve industrial control efficiency and achieve better control results.

[0032] Additionally, the cloud and APC servers can directly send control instructions to the engineering station, which then sends them to the corresponding module in the edge computing controller. These modules connect to the industrial field devices and send the control instructions to the corresponding industrial field devices to complete industrial field control. For example, if the control instruction is a digital signal, the DO module is selected; if the control instruction is an analog signal, the AO module is selected.

[0033] In one embodiment, the APC server and the cloud can also exchange information. The cloud is further configured to transmit the recalculated data to the APC server, which generates control instructions based on the recalculated data to better perform model prediction, neural network control, etc., thereby realizing the construction of intelligent and smart factories.

[0034] In one embodiment, the APC server is further configured to transmit the control instructions to the cloud; the cloud is further configured to transmit the control instructions to the edge computing controller via the engineering station, so that the edge computing controller can transmit the control instructions to the corresponding industrial field equipment. The APC server performs algorithmic processing based on the recalculated data, predicts a higher-quality model, and then transmits the resulting control instructions to the cloud. The cloud can also provide guidance to the industrial field equipment by issuing instructions layer by layer.

[0035] In one embodiment of the present invention, the cloud and the APC server are further configured to directly exchange data with the edge computing controller. When the engineering station is relatively close to the cloud and the APC server, the engineering station can be omitted. Both the APC server and the cloud can serve as engineering stations, communicating with the edge computing controller to collect data and send commands to the industrial field equipment.

[0036] In summary, the edge computing control system based on the APC server and the cloud of the present invention can perform model prediction, neural network control, adaptive control, fuzzy control and other advanced algorithm control based on APC control, realizing intelligent and smart factory construction; based on the cloud, it can perform big data storage and calculation, historical data analysis, instruction issuance and other functions; the edge computing controller has complete IO modules, wired and wireless communication modules, etc., and has a CPU module, which can perform edge data calculation and ensure data security; it can take into account big data storage, data security performance, APC intelligent algorithm control, edge computing and other functions, realizing high-end, efficient, safe and intelligent industrial control; it can be applied to the industrial field, with wider applicability, more stable control performance, safer data protection and other advantages. Therefore, the present invention effectively overcomes the various shortcomings in the existing technology and has high industrial utilization value.

[0037] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed in the present invention are intended to be covered by the claims of the present invention.

Claims

1. An edge computing control system based on an APC server and the cloud, characterized by: Including cloud, APC server, engineer station, edge computing controller, and industrial field equipment; The industrial field device is used to collect industrial field data and send it to the edge computing controller; The edge computing controller is used to calculate the industrial field data and send the calculation results to the engineer station; The engineer station is used to send the calculation result to the cloud or the APC server; The cloud is used to store and recalculate the calculation results; The APC server is used to generate a control instruction based on the calculation result and provide the control instruction to the edge computing controller via the engineer station, so that the edge controller provides the control instruction to the corresponding industrial field device.

2. The edge computing control system based on APC server and cloud according to claim 1, characterized in that: The edge computing controller includes a DI module, a DO module, an AI module, an AO module, a thermocouple module, a thermal resistor module, a switch module, a 5G module, a COM module and a CPU module; the DI module is used to realize digital input, the DO module is used to realize digital output, the AI module is used to realize analog input, the AO module is used to realize analog output, the thermocouple module is used to realize thermocouple acquisition, the thermal resistor module is used to realize thermal resistor acquisition, the switch module is used to realize switch function, the 5G module is used to realize 5G communication, the COM module is used to realize RS485 communication, and the CPU module is used to realize edge data calculation and instruction issuance functions.

3. The edge computing control system based on APC server and cloud according to claim 1, characterized in that: The edge computing controller adopts PLC.

4. The edge computing control system based on APC server and cloud according to claim 1, characterized in that: The industrial field equipment includes one or more combinations of control valves, actuators, transmitters, flow meters, and temperature meters.

5. The edge computing control system based on APC server and cloud according to claim 1, characterized in that: The cloud is further configured to send the recalculated data to the APC server; the APC server is further configured to generate control instructions based on the recalculated data.

6. The edge computing control system based on APC server and cloud according to claim 1, characterized in that: The APC server is also used to send the control instructions to the cloud; the cloud is also used to provide the control instructions to the edge computing controller via the engineer station, so that the edge controller provides the control instructions to the corresponding industrial field equipment.

7. The edge computing control system based on APC server and cloud according to claim 1, characterized in that: The cloud and the APC server are also used to directly interact with the edge computing controller for data.

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