CN114900751A - Control device, data processing method, equipment and storage medium - Google Patents
Control device, data processing method, equipment and storage medium Download PDFInfo
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Abstract
The present application relates to the field of automation control technologies, and in particular, to a control device, a data processing method, a device, and a storage medium. A processor in the device for determining a data type of the remotely processed data; the remote processing data is obtained by processing the acquired operation data of the bottom layer industrial equipment by the processor; the data type comprises real-time data and/or non-real-time data; the processor is also used for transmitting the non-real-time data to the server through the wireless network; the time sequence control module in the device is used for receiving the real-time data and transmitting the large-capacity data in the real-time data to the server through the mobile communication network; the time sequence control module is also used for transmitting the non-large-capacity data in the real-time data to the server through the time sensitive network. The scheme can achieve the purpose of accurate control capability of low time delay, high bandwidth and real-time synchronization. And by adopting the mode of carrying out classified transmission on the data, the communication efficiency can be improved, and the requirement on the communication bandwidth is reduced.
Description
Technical Field
The present application relates to the field of automation control technologies, and in particular, to a control device, a data processing method, a device, and a storage medium.
Background
The server of the vehicle manufacturing automation factory generally performs a communication task with the operation desk of the production line by means of ethernet, which has a characteristic of transmission uncertainty because ethernet transmission uses the Carrier Sense Multiple Access/Collision Detection (CSMA/CD) principle, and can perform data reception and transmission only when it is detected that a link is idle. When multiple types of devices transmit data simultaneously on an operation platform, delay and uncertainty of data arrival exist, and the latest industrial 4.0 factory field control requirements cannot be met.
In the automatic production process of vehicle manufacturing, various industrial control bus devices and sensor devices are widely applied, and interface protocols for realizing communication of a plurality of industrial devices are different. The phenomenon that various protocols coexist in the industrial production field is remarkable. In the industrial field automation process, multiple devices need to be controlled to work cooperatively, so how to control interconnection of multiple protocol devices and make real-time cooperative work of each device become core technical problems of respective automation plants.
Therefore, for the above two technical problems encountered in factory automation, a perfect technical scheme or device is needed to solve the problems, so as to achieve the purpose of accurate control capability with low time delay, high bandwidth and real-time synchronization.
Disclosure of Invention
The application provides a control device, a data processing method, equipment and a storage medium, wherein different types of data are separately transmitted, a data usage time sensitive network with high real-time control time sequence requirement on the equipment is used for communication, a mobile communication network is independently used for high-capacity data to perform low-delay transmission, and a wireless module is used for transmitting scattered small data with low real-time requirement. The scheme can achieve the purpose of accurate control capability of low time delay, high bandwidth and real-time synchronization.
In a first aspect, an embodiment of the present application discloses an edge calculation control apparatus, which includes a processor and a timing control module;
the processor is used for determining the data type of the remote processing data; the remote processing data is obtained by processing the acquired operation data of the bottom layer industrial equipment by the processor; the data type comprises real-time data and/or non-real-time data;
the processor is also used for transmitting the non-real-time data to the server through the wireless network;
the time sequence control module is used for receiving the real-time data and transmitting the high-capacity data in the real-time data to the server through the mobile communication network;
the time sequence control module is also used for transmitting the non-large-capacity data in the real-time data to the server through the time sensitive network.
Further, the processor is also used for performing edge calculation on the operation data to obtain local control information, and the local control information is used for controlling the bottom-layer industrial equipment.
Furthermore, the device also comprises a data transceiver module, wherein the data transceiver module is used for receiving remote control data sent by the server, and the remote control data is used for controlling the bottom layer industrial equipment.
Furthermore, the time sequence control module is also used for determining a control mode of remote control data;
the time sequence control module directly controls the bottom layer industrial equipment according to the remote control data under the condition that the control mode of the remote control data is determined to be a non-real-time control mode;
and the time sequence control module converts the remote control data into a real-time clock control instruction under the condition that the control mode of the remote control data is determined to be a real-time control mode, and the real-time clock control instruction is used for controlling the bottom layer industrial equipment.
Furthermore, the communication protocol of the real-time clock control instruction is a time sensitive network protocol;
the device also comprises a protocol conversion module which is used for converting the communication protocol of the real-time clock control instruction into a target communication protocol.
In a second aspect, an embodiment of the present application discloses a data processing method, including:
acquiring operation data of bottom-layer industrial equipment;
determining remote processing data according to the operating data;
determining a transmission mode of remote processing data; the remote processing data comprises real-time data and/or non-real-time data, and the real-time data comprises large-capacity data and non-large-capacity data; the transmission mode of the large-capacity data is mobile communication network transmission, the transmission mode of the non-large-capacity data is time sensitive network transmission, and the transmission mode of the non-real-time data is wireless network transmission;
and transmitting the remote processing data to the server according to the transmission mode.
Further, before determining the remote processing data according to the operation data, the method further includes:
determining local processing data according to the operating data;
processing the local processing data to obtain local control information;
and sending the local control information to the bottom layer industrial equipment so that the bottom layer industrial equipment executes the local control information.
Further, determining a transmission mode of the remote processing data includes:
determining a data type of the remote processing data;
determining that the transmission mode of the remote processing data is wireless network transmission under the condition that the data type is determined to be a non-real-time data type;
determining the data capacity of the remote processing data under the condition that the data type is determined to be the real-time data type;
under the condition that the data capacity is determined to be large, determining that the transmission mode of the remote processing data is mobile communication network transmission;
and under the condition that the data capacity is determined to be not large, determining that the transmission mode of the remote processing data is time-sensitive network transmission.
Further, the method further comprises:
receiving remote control data sent by a server;
determining a control mode of remote control data;
under the condition that the control mode is a non-real-time control mode, directly controlling bottom-layer industrial equipment according to remote control data; or the like, or, alternatively,
under the condition that the control mode is a real-time control mode, converting the remote control data into a real-time clock control instruction;
and controlling the bottom-layer industrial equipment according to the real-time clock control instruction.
In a third aspect, an embodiment of the present application discloses an electronic device, where the device includes a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded by the processor and executes the data processing method described above.
In a fourth aspect, an embodiment of the present application discloses a computer-readable storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the data processing method described above.
The technical scheme provided by the embodiment of the application has the following technical effects:
the edge computing control device transmits industrial field data to the server in a different type data separate transmission mode. The data with high real-time control time sequence requirement on the equipment is transmitted by using a time sensitive network, the high-capacity data is transmitted by using a mobile communication network alone in a low-delay way, and the scattered small data with low real-time requirement is transmitted by using a wireless module. The scheme can achieve the purpose of accurate control capability of low time delay, high bandwidth and real-time synchronization. And by adopting the mode of carrying out classified transmission on the data, the communication efficiency can be improved, and the requirement on the communication bandwidth is reduced.
Drawings
In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of an edge calculation control apparatus according to an embodiment of the present application;
fig. 2 is a schematic application environment diagram of a data processing method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a data processing method according to an embodiment of the present application;
fig. 4 is a hardware block diagram of a server in a data processing method according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the embodiments of the present application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In order to make the objects, technical solutions and advantages disclosed in the embodiments of the present application more clearly apparent, the embodiments of the present application are described in further detail below with reference to the accompanying drawings and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the embodiments of the application and are not intended to limit the embodiments of the application.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present embodiment, "a plurality" means two or more unless otherwise specified. In order to facilitate understanding of the technical solutions and the technical effects thereof described above in the embodiments of the present application.
The industrial control equipment of the current industrial field environment is connected to a nearby industrial control computer through a communication protocol of the equipment, then the industrial control computer is connected to a router of a company through a network cable in a standard Ethernet protocol mode, and then the industrial control equipment is connected to a central server through the router of the company. The issuing of all control commands of a software system of a central server and the uploading of equipment data need to pass through more transmission path links, and a data path based on a common Ethernet easily causes the delay receiving of data and the uncertainty of data arrival time. The response time of the field device is relatively long and cannot meet the real-time control requirement of data transmission.
Moreover, industrial field environment equipment is more, and a wired network connection mode makes the network laying difficulty of a factory larger, the upgrading difficulty (the original laid line needs to be upgraded synchronously according to the automatic equipment), and the upgrading cost is relatively higher. If changes in the network architecture are involved, the network reconfiguration time of the entire plant can have a significant scheduling impact on the production pipeline. However, these upgrades are often frequently generated and unavoidable in the production process according to each vehicle model.
In addition, some new control and sensing devices are introduced into the automation plant field at irregular intervals, the types of the devices are more, and generally the devices are provided with standard interfaces for directly communicating with industrial computing. The more and more kinds of sensor equipment and control equipment are accessed in a certain workstation area, and computer communication interfaces are often insufficient. If the number of access devices of a single computer is increased only by some simple interface expansion cards, not only the resource requirement of a network is increased, but also the task processing burden of the computer is increased, and the problem that various software drivers are mutually exclusive sometimes occurs. It is urgently needed that some devices can locally complete some data acquisition and processing (with edge computing capability), and upload the result of on-site data after fast computation to a server, so that the bandwidth requirement of data uploading is reduced, and meanwhile, some control commands needing fast action can be automatically judged and executed by the devices.
In view of this, the present application provides an edge calculation control apparatus.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an edge calculation control apparatus according to an embodiment of the present disclosure. The edge calculation control device comprises a processor, a time sequence control module, a wireless network module, a data transceiver module and a protocol conversion module.
In the embodiment of the application, the processor is used for collecting data of bottom-layer industrial equipment and performing edge calculation processing on the original data. Alternatively, the Processor may be a device or Chip having a data Processing capability, such as a Central Processing Unit (CPU), a microprocessor Unit (MPU), a microcontroller Unit (MCU), and a System On Chip (SOC). The processor is provided with a communication interface, and the underlying industrial equipment carries out data interaction with the processor through the communication interface. Optionally, the communication Interface includes one or more interfaces of a Serial Peripheral Interface (SPI), an RS485 Interface, an RS232 Interface, a Controller Area Network Interface (CAN), a High-Speed Power Line Carrier (HPLC), and the like. The processor can realize the digital information acquisition, the sensor analog acquisition, the local equipment control, the local communication and the like of an industrial field assembly line through the communication interface. Optionally, the processor includes a sensor access signal processing unit, and the sensor access signal processing unit is configured to implement access of an analog semaphore, automatic gain control of the analog semaphore, signal filtering, digital-to-analog conversion processing, and the like. The sensor access signal processing unit can also provide digital sensor access, such as a photoelectric sensor, a proximity touch sensor and the like.
In the embodiment of the application, the processor communicates with the server through the wireless network module. The wireless network module can provide the data transceiving function of the industrial wireless Internet of things. The wireless Network module has access to wireless modules of Universal Asynchronous Receiver Transmitter/Transmitter (UART) and SPI, including but not limited to remote Radio Wide Area Network (LoraWAN), wireless local Area Network (Wifi), Zigbee (Zigbee), Bluetooth (Bluetooth) and other modules. The wireless network module can realize the wireless MESH network (MESH) function of some bottom modules, realize the networking communication between the single devices, and do not occupy the communication resource channel of the mobile network.
In the embodiment of the application, the time sequence control module is used for realizing time sequence control of bottom-layer industrial equipment. Optionally, the timing control module is a Field Programmable Gate Array (FPGA) chip. The Time sequence control module is provided with a Time Sensitive Network (TSN) access protocol processing unit. The edge computing control device utilizes the real-time clock technology of the TSN network protocol to synchronously control equipment with relatively high real-time requirements, and utilizes the existing standard Ethernet physical line, a mechanical arm on a synchronous production line and an automatic material supply device. Real-time data transmission can be achieved by using ethernet through a TSN network. The edge calculation control device adopts the TSN network protocol technology, because the TSN network protocol has a time stamp and belongs to a time sensitive network, time characteristics are added to data receiving, sending and control commands of all bottom layer equipment, clock unification of all the equipment is realized, and finally cooperative work in the same time period is achieved.
In the embodiment of the application, the timing control module can communicate with the server through the TSN network, and can exchange data with the server through the data transceiver module of the mobile communication network. Optionally, the data transceiver module is preferably a 5G (5th Generation Mobile Communication Technology, fifth Generation Mobile Communication Technology) data transceiver module. The 5G network has the characteristics of low delay and high bandwidth. The 5G mobile module is added into the local edge computing control device, so that the edge computing control device has the capability of being directly connected to a 5G terminal of a company server in a 5G data transmission mode without a wired network, and information fusion is achieved with the existing wired network. The device of the invention can realize the data access with high bandwidth and low time delay to the existing automatic factory scheme by depending on the application of a 5G network.
In an embodiment of the application, the industrial field may include a plurality of underlying industrial devices, and different industrial field protocols may be supported between different underlying industrial devices. And the protocol conversion module in the edge computing control device is used for converting the control instruction based on the TSN network protocol into the control instruction of various industrial field protocols. Namely, the protocol conversion module can provide various standard interfaces of the hardware protocol of the plant equipment, including but not limited to PROFINET (high speed real time ethernet), CC-link (field bus), EtherCAT (ethernet control automation technology), etc., and can be used for accessing equipment on various plant pipelines. Optionally, the protocol conversion module is an FPGA chip.
In some optional embodiments, the edge calculation control apparatus further comprises an action execution module. Optionally, the action execution module includes a multi-path action execution controller unit, and the action execution controller unit is configured to drive an actuator of the bottom layer industrial device to perform an action. The multi-path motion execution controller unit may include a digital quantity signal control unit and an analog quantity signal control unit. Optionally, the digital quantity signal control unit is greater than or equal to eight channels, and the driving current of each channel is not lower than 0.2A. Optionally, the analog signal control unit is greater than or equal to two channels and can output a voltage signal of 0-10V. Optionally, the analog quantity signal control unit may also be an analog signal control quantity interface having at least one channel, and each channel may output a current signal of 4mA to 20 mA.
In the embodiment of the application, the edge computing control device designs standard hardware interfaces of various factory equipment hardware protocols by utilizing the flexible peripheral characteristics of an embedded module device, and comprises a plurality of mainstream communication protocols. Meanwhile, a hardware interface for sending out signals of an output digital quantity actuator and an output analog quantity actuator is designed to control equipment to execute actions in real time. The mainstream wireless communication interface in the field of the Internet of things is reserved, so that the capacity of the device on wireless communication equipment is conveniently expanded, a 5G channel is not occupied by some burst data, and the efficiency of the 5G communication interface is improved. The edge computing control device is internally provided with a micro-processing chip which has real-time sequence control capability and edge computing capability. And the programmable logic chip FPGA is utilized to realize the time sequence synchronization characteristic of the output control signal. The collected data is processed by an algorithm by using a processing chip of an ARM (Advanced RISC Machines, RISC microprocessor) processor core, so that rapid edge calculation is realized, and the phenomenon that a large amount of original data is uploaded to a server to waste communication resources is avoided. The edge computing control device uses an FPGA programming chip as a time sequence control module to send command protocols with higher real-time requirements to each actuator, so that ordered execution operation of different protocol stacks of several devices is realized, and the execution time sequence control precision is high. In order to carry out local processing and result data transmission on various acquired sensor data, the edge calculation control device adopts a micro control chip with an ARM (advanced RISC machine) kernel as a processor to carry out edge calculation on local area data, and reports a processing result to a central server or converts the processing result into a local actuator action command.
Fig. 2 is a schematic diagram of an application environment of the data processing method provided in the embodiment of the present application, and as shown in fig. 2, the application environment may include a bottom-layer industrial device, an edge computing control device, and a server.
In the embodiment of the application, the bottom layer industrial equipment can be an independent mechanical equipment device or an industrial production line consisting of a plurality of mechanical equipment devices. The underlying industrial equipment includes a sensor system and an actuator system. The sensor system is used for collecting various internal state information, environmental information and mechanical quantity related to the working state of the sensor system, such as displacement, speed, torque, pressure, temperature, humidity, voltage, current and other information of the bottom layer industrial equipment. The sensor signals output by the sensor system include digital signals and analog signals. The actuator system is used for outputting mechanical quantities related to the working state of the underlying industrial equipment, such as displacement, rotating speed, torque, pressure, temperature, humidity, voltage, current and the like.
In this embodiment of the application, the server is an intelligent factory server, and is configured to perform background monitoring and control on operation of the underlying industrial device, and optionally, the server may include, but is not limited to, an LES (Logistics Execution System) server, an MES (Manufacturing Execution System) server, and the like. Optionally, the server may be an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
In the embodiment of the application, the bottom layer industrial equipment is connected and communicated with the edge computing control device through various communication interfaces, and the edge computing control device is communicated with the server through the TSN, the mobile communication network and the wireless network. The edge calculation control device carries out edge calculation by collecting data of the bottom layer industrial equipment, and then transmits the calculated data to the server or directly issues a control instruction to the bottom layer industrial equipment according to the calculated data. Specifically, a processor in the edge calculation control device acquires operation data of the bottom layer industrial equipment, and then the processor processes the operation data to obtain local processing data and remote processing data. The processor processes the local processing data to obtain a local control instruction, and then sends the local control instruction to the bottom layer industrial equipment. The processor sends the non-real-time data in the remote processing data to the server through the wireless network, and simultaneously sends the real-time data in the remote processing data to the time sequence control module in the edge calculation control device for processing. The time sequence control module sends large-capacity data in the real-time data to the server through the 5G network, and sends non-large-capacity data in the real-time data to the server through the TSN network. The server can send control data to the edge computing control device through a 5G network or a TSN network, a transceiver module in the edge computing control device receives the control data, and then the control data is unpacked and sent to a time sequence control module in the edge computing control device. And the time sequence control module sends the non-real-time control data to a processor in the edge calculation control device, and the processor controls the bottom layer industrial equipment according to the non-real-time control data. The time sequence control module can also convert the real-time control data into a command to be executed of the real-time clock, and then directly sends the command to be executed to the bottom layer industrial equipment, or sends the command to be executed to a protocol conversion module in the edge computing control device for protocol conversion, and then sends the converted command to be executed to the bottom layer industrial equipment.
The edge calculation control device provided by the embodiment of the application classifies and distributes real-time data and non-real-time data through the processor and the time sequence control device, and different data processing modules are controlled in a labor division mode, so that the communication efficiency is improved. The edge computing control device utilizes the flexible interface characteristic of a programmable logic device FPGA to set software and hardware interfaces with various protocols, realizes the interconnection communication with industrial field equipment with various protocols, does not need the communication realized by the original routing mode of various networks, and greatly reduces the complexity of system connection. The device can simultaneously support a plurality of industrial mainstream protocol interfaces such as PROFINET, EtherCAT, CC-LINK, TSN and the like, can cover the connection of most factory equipment, and realizes the real-time control function. The time sequence control module can send the acquired data to the processor control part for local edge calculation and judgment. The processor carries out local algorithm processing according to the collected analog signals, digital quantity signals and received data of other equipment, and has edge computing capability. The problems of communication bandwidth influence and real-time response caused by unified calculation and transmission of traditional data by a server are avoided. The processor supports access to a variety of local sensor devices, the interfaces including: RS485, CAN-FD, modbus-CAN, RS232, Ethernet and the like, and the device designs various hardware interfaces, and mainly aims to improve the expandability and the universality of the system. Various data of the equipment are acquired through the protocol interface and used for judging the field environment, and then the control unit sends out an execution command to complete a local control action.
While specific embodiments of a data processing method according to the present application are described below, fig. 3 is a schematic flow chart of a data processing method according to the embodiments of the present application, and the present specification provides the method operation steps according to the embodiments or the flow chart, but more or less operation steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. In practice, the system or server product may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environment) according to the embodiments or methods shown in the figures. Specifically, as shown in fig. 3, the data processing method can be applied to an edge calculation control device. The method can comprise the following steps:
s301: and acquiring the operation data of the bottom layer industrial equipment.
In the embodiment of the application, the processor in the edge computing control device acquires the operation data of the underlying industrial equipment, and the operation data comprises the sensing data output by the sensor system, the operation data generated when the actuator system works, and the like.
S303: remote processing data is determined from the operational data.
In the embodiment of the application, a processor in the edge calculation control device has edge calculation capability, and the processor processes the acquired operation data to determine local processing data and remote processing data in the operation data. Optionally, the running data carries a data processing end identifier, and the processor determines local processing data and remote processing data in the running data according to the data processing end identifier.
In the embodiment of the present application, the local processing data refers to data maintained and processed by the controller itself, and the processor may directly perform edge calculation processing on such data. The processor processes the local processing data to obtain local control information, and then the edge computing control device sends the local control information to the bottom layer industrial equipment so as to enable the bottom layer industrial equipment to execute the local control information. Specifically, various digital information acquisition, sensor analog quantity measurement, CAN, 485 and other bottom layer sensor data on the factory assembly line are acquired by a processor. The processor directly sends out an action execution command or uploads the data after carrying out special algorithm analysis and data statistics on the field data.
In the embodiment of the present application, the remote processing data refers to data that is processed without permission locally, or data that has a high requirement for computational power, or data that has a high requirement for security, and the like, and the processor needs to send such data to the server for processing.
S305: a transmission mode of the remote processing data is determined.
In the embodiment of the application, after the processor determines the remote processing data, the processor also judges the real-time requirement of the remote processing data, and determines the transmission mode of the remote processing data according to the real-time requirement of the remote processing data. In particular, the remote processing data includes real-time data and non-real-time data. That is, the remote process data may be real-time data, non-real-time data, or both real-time and non-real-time data. Real-time data refers to data with high requirements on time sequence, and the data generally has great influence on the normal operation of the underlying industrial equipment and needs to be processed as soon as possible by a server. Alternatively, the real-time data may be divided into large-capacity data and non-large-capacity data. For large-capacity data, such as video images and the like, due to the large capacity, a large bandwidth is required to be occupied for transmitting the data, and due to the real-time requirement, the data can be transmitted to a server in a mobile communication network transmission mode. And for non-large-volume data, the data can be transmitted to the server by adopting a TSN network transmission mode. In fact, some non-real-time data may exist in the industrial field, which is not critical to real-time performance, such as sensor monitoring data in the industrial field. The data is generally characterized by burst, different data lengths and weak data time sensitivity, and the data is not suitable for mixed cross transmission with field control data. The data can be transmitted to the server by adopting a wireless network transmission mode.
In the embodiment of the application, the processor determines the data type of the remote processing data and determines the transmission mode of the remote processing data according to the data type. And under the condition that the data type is determined to be the non-real-time data type, determining that the transmission mode of the remote processing data is wireless network transmission. In the case where the data type is determined to be a real-time data type, a data capacity of the remote processing data is determined. When the data capacity is determined to be large, the transmission mode of the remote processing data is determined to be mobile communication network transmission. And under the condition that the data capacity is determined to be not large, determining that the transmission mode of the remote processing data is time-sensitive network transmission.
S307: and transmitting the remote processing data to the server according to the transmission mode.
In the embodiment of the application, after the processor determines the transmission modes of different types of data, the remote processing data are transmitted to the server according to the determined transmission modes. Specifically, for non-real-time data, the processor can directly send the data to the server through a wireless internet of things interface inside the processor. And for real-time data, the processor sends the real-time data to a time sequence control module in the edge computing control device, the time sequence control module sends high-capacity data to the server through a 5G data transceiver module, and the time sequence control module forwards non-high-capacity data to a standard TSN network interface to be sent to the server.
In the embodiment of the application, the server can also send remote control data to the edge computing control device so as to realize control on the bottom-layer industrial equipment. The server sends the remote control data to the edge computing control device, and correspondingly, the edge computing control device receives the remote control data sent by the server. And the edge computing control device controls the bottom layer industrial equipment according to the remote control data. Optionally, the server may send the remote control data to the edge computing control device through the mobile communication network and the TSN network, and a data transceiver module in the edge computing control device receives the remote control data. And then the edge computing control device determines a control mode of the remote control data, optionally, the remote control data carries control mode information, the data transceiver module analyzes the remote control data to obtain the control mode of the currently received remote control data, and then the edge computing control device controls the bottom-layer industrial equipment according to the control mode. Specifically, after the data transceiver module analyzes the remote control data, the analyzed remote control data are sent to the time sequence control module, the time sequence control module determines the control mode of the currently received remote control data, and when the control mode of the currently received remote control data is determined to be a non-real-time control mode, the data transceiver module directly controls the bottom-layer industrial equipment according to the remote control data. And when the control mode of the current remote control data is determined to be a real-time control mode, converting the remote control data into a real-time clock control instruction. If the bottom layer industrial equipment executing the real-time clock control instruction has a standard TSN network protocol interface, the time sequence control module can directly control the bottom layer industrial equipment according to the real-time clock control instruction. If the bottom layer industrial equipment executing the real-time clock control instruction does not have a standard TSN network protocol interface, for example, the communication interface of the bottom layer industrial equipment is a protocol interface such as PROFINET, EtherCAT or CC-LINK, the time sequence control module sends the real-time clock control instruction to the protocol conversion module for protocol conversion, and then sends the real-time clock control instruction to the bottom layer industrial equipment to execute the real-time clock control instruction.
As an alternative real-time method, the smart factory server sends remote control data with high real-time requirement of 5G signals to the edge computing control devices in each area of the factory through a 5G base station dedicated for self-establishment inside the factory. The device is covered by a 5G network, so that a factory network wiring scheme is flexible and is not limited by the routing and routing restrictions of a limited network. And the 5G data transceiver module in the edge computing control device unpacks the received remote control data sent by the server and sends the unpacked remote control data to the time sequence control module. The time sequence control module converts the remote control data into a command to be executed of a real-time clock so as to realize the execution of the time sequence action of the bottom layer TSN network control equipment. The time sequence control module directly sends a part of remote control data which accords with the TSN network protocol to a standard TSN network protocol interface, and real-time communication based on the TSN protocol is carried out between the remote control data and a corresponding equipment terminal. The protocol conversion module in the edge computing control device is used for converting the TSN network protocol with clock into the existing standard industrial Ethernet protocol such as: PROFINET, EtherCAT, CC-LINK agreement, just so can be through the field Programmable Logic Controller (PLC) equipment of edge calculation controlling means direct connection multiple agreement, realize data interchange. And the time sequence control module distributes part of non-real-time 5G network data to the MPU. The non-real-time measurement and control of sensors, motion control equipment and the like on the site of an automatic assembly line are realized.
The embodiment of the application also discloses an electronic device, which comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded by the processor and executes the data processing method.
The method embodiments provided by the embodiments of the present application may be executed in a mobile terminal, a computer terminal, a server, or a similar computing device. Taking the example of running on a server, fig. 4 is a hardware structure block diagram of the server of the data processing method provided in the embodiment of the present application. As shown in fig. 4, the server 400 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 410 (the processors 410 may include but are not limited to a Processing device such as a microprocessor MCU or a programmable logic device (FPGA)), a memory 430 for storing data, and one or more storage media 420 (e.g., one or more mass storage devices) for storing applications 423 or data 422. Memory 430 and storage medium 420 may be, among other things, transient or persistent storage. The program stored on the storage medium 420 may include one or more modules, each of which may include a series of instruction operations on a server. Further, the processor 410 may be configured to communicate with the storage medium 420 to execute a series of instruction operations in the storage medium 420 on the server 400. The server 400 may also include one or more power supplies 460, one or more wired or wireless network interfaces 450, one or more input-output interfaces 440, and/or one or more operating systems 421, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The input/output interface 440 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the server 400. In one example, the input/output Interface 440 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the input/output interface 440 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
It will be understood by those skilled in the art that the structure shown in fig. 4 is only an illustration and is not intended to limit the structure of the electronic device. For example, server 400 may also include more or fewer components than shown in FIG. 4, or have a different configuration than shown in FIG. 4.
The embodiment of the application discloses a computer readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to realize the data processing method.
The embodiment of the application also discloses a computer readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded by a processor and executed to realize the method.
In an embodiment of the present application, the computer storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc, etc. The random access memory may include a resistive random access memory (ReRAM) and a Dynamic Random Access Memory (DRAM).
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And that specific embodiments have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (11)
1. An edge calculation control apparatus, comprising a processor and a timing control module;
the processor is configured to determine a data type of the remote processing data; the remote processing data is obtained by processing the acquired operation data of the bottom layer industrial equipment by the processor; the data type comprises real-time data and/or non-real-time data;
the processor is further used for transmitting the non-real-time data to a server through a wireless network;
the time sequence control module is used for receiving the real-time data and transmitting large-capacity data in the real-time data to the server through a mobile communication network;
the time sequence control module is also used for transmitting non-high-capacity data in the real-time data to the server through a time sensitive network.
2. The edge computing control device of claim 1, wherein the processor is further configured to perform an edge computing on the operation data to obtain local control information, and the local control information is used to control the underlying industrial equipment.
3. The edge computing control device of claim 1, further comprising a data transceiver module configured to receive remote control data from a server, the remote control data configured to control the underlying industrial equipment.
4. The edge calculation control device of claim 3, wherein the timing control module is further configured to determine a control manner of the remote control data;
the time sequence control module directly controls the bottom layer industrial equipment according to the remote control data under the condition that the control mode of the remote control data is determined to be a non-real-time control mode;
and the time sequence control module converts the remote control data into a real-time clock control instruction under the condition that the control mode of the remote control data is determined to be a real-time control mode, and the real-time clock control instruction is used for controlling the bottom layer industrial equipment.
5. The edge computing control device of claim 4, wherein the communication protocol of the real-time clock control instruction is a time-sensitive network protocol;
the device also comprises a protocol conversion module which is used for converting the communication protocol of the real-time clock control instruction into a target communication protocol.
6. A method of data processing, the method comprising:
acquiring operation data of bottom-layer industrial equipment;
determining remote processing data according to the operating data;
determining a transmission mode of the remote processing data; the remote processing data comprises real-time data and/or non-real-time data, and the real-time data comprises large-capacity data and non-large-capacity data; the transmission mode of the high-capacity data is mobile communication network transmission, the transmission mode of the non-high-capacity data is time sensitive network transmission, and the transmission mode of the non-real-time data is wireless network transmission;
and transmitting the remote processing data to a server according to the transmission mode.
7. The data processing method of claim 6, wherein prior to determining the remote processing data from the operational data, further comprising:
determining local processing data according to the operating data;
processing the local processing data to obtain local control information;
and sending the local control information to the bottom layer industrial equipment so as to enable the bottom layer industrial equipment to execute the local control information.
8. The data processing method of claim 6, wherein the determining the transmission mode of the remote processing data comprises:
determining a data type of the remote processing data;
determining that the transmission mode of the remote processing data is wireless network transmission under the condition that the data type is determined to be a non-real-time data type;
determining a data capacity of the remote processing data if the data type is determined to be a real-time data type;
determining that the transmission mode of the remote processing data is mobile communication network transmission under the condition that the data capacity is determined to be large capacity;
and under the condition that the data capacity is determined to be not large, determining that the transmission mode of the remote processing data is time-sensitive network transmission.
9. The data processing method of claim 6, wherein the method further comprises:
receiving remote control data sent by the server;
determining a control mode of the remote control data;
under the condition that the control mode is a non-real-time control mode, directly controlling the bottom layer industrial equipment according to the remote control data; or the like, or, alternatively,
converting the remote control data into a real-time clock control instruction under the condition that the control mode is a real-time control mode;
and controlling the bottom layer industrial equipment according to the real-time clock control instruction.
10. An electronic device, characterized in that the device comprises a processor and a memory, in which at least one instruction or at least one program is stored, which is loaded by the processor and executes the data processing method according to any one of claims 6-9.
11. A computer-readable storage medium, in which at least one instruction or at least one program is stored, which is loaded and executed by a processor to implement the data processing method according to any one of claims 6 to 9.
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