KR20220076234A - SMART FACTORY MANAGEMET SYSTEM USING IoT GATEWAY BASED ON EDGE COMPUTING - Google Patents

Abstract

The present invention is a smart factory management system and method using an edge computing-based IoT gateway, which handles data from end devices of various protocol types regardless of protocols, and manages smart factories using edge computing-based IoT gateways that perform edge computing. system and method thereof.

Description

Smart factory management system using edge computing-based IoT gateway {SMART FACTORY MANAGEMET SYSTEM USING IoT GATEWAY BASED ON EDGE COMPUTING}

The present invention is a smart factory management system and method using an edge computing-based IoT gateway, which handles data from end devices of various protocol types regardless of protocols, and manages smart factories using edge computing-based IoT gateways that perform edge computing. system and method thereof.

In the case of small and medium-sized manufacturing companies lacking manpower and capital, most of the demand for building a smart factory at the basic or intermediate level was found to be the most demanding for shortening the construction period and minimizing the cost of introduction. There is a need for a low-cost smart factory solution that can be used universally for many small and medium-sized domestic manufacturers operating mainly on small-scale manufacturing facilities.

In addition, in industrial IoT, an end device, for example, a sensor or a facility, has various communication protocols, so a solution in which a user does not manage various communication protocols is needed.

On the other hand, the smart factory is a factory in which a system that automatically produces machines through simulation by itself through the convergence of information communication technology (ICT) and manufacturing, which is called the 4th industrial revolution, is continuously introduced in the field.

The smart factory collects information from the production site that changes every moment in real-time and provides real-time information for the best decision-making to the top management, delivery information for the ordered commercial products to the customer, and the status of the site to the factory manager. information is provided in real time.

Smart factories often require the introduction of edge computing technology. This is because the latency must be low compared to the remote server, or there may be bandwidth issues. For example, if the connection environment is poor, it is inefficient for Internet of Things devices to continuously connect to a central server or cloud, or is sensitive to delays such as financial services or manufacturing, it generates a large amount of data but operates normally once it is produced. There may be cases in which most of the data generated by . In this case, it is necessary to introduce distributed computing, that is, edge computing.

KR 10-2019-0079917 A

The present invention provides a system that enables easy, simple and efficient interworking/management of various facilities/sensors in small and medium-sized manufacturing sites, and enables smart factory construction without an expensive smart manufacturing system (MES) or cloud platform by applying edge computing technology is intended for

In addition, by solving the interface with various sensors/facilities in industrial sites with a single device, it is possible to reduce the installation, management, and maintenance costs of sensors/facilities, and to perform data processing, automatic correction, self-diagnosis, and decision-making functions. It aims to provide a high-functionality, high-convenience, and high-value-added system.

A smart factory management method using an edge computing-based IoT gateway according to an embodiment of the present invention includes: an end device generating edge data including at least one of sensor data and facility data; a central server providing at least one of a central server service, a web service, a smart manufacturing system (MES) service, and an ERP service; and an edge gateway that receives the edge data, processes the edge data, and transmits the edge data to the central server. A smart factory management method using an edge computing-based IoT gateway, wherein in the edge gateway, the end device receiving first data from generating the second data based on the first data when generating the second data by processing the first data; determining whether to upload whether the first data cannot be processed and whether at least one of the first and second data must be transmitted to the central server; transmitting at least one of the first and second data to the central server when it is determined that the upload is necessary; and receiving, from the central server, third data generated based on at least one of the first and second data.

The method further includes generating a control command based on at least one of the first to third data, wherein when the first data cannot be processed, the second data is the same as the first data, The third data includes the control command, the step of determining whether to upload and the step of processing the first data to generate the second data are substantially the same, and whether the first data can be processed is determined according to the first It is determined whether data is suitable for distributed processing, and the upload determination step may further include determining whether the second data should be transmitted to the central server.

A smart factory management system using an edge computing-based IoT gateway according to an embodiment of the present invention includes: an end device generating edge data including at least one of sensor data and facility data; a central server providing at least one of a central server service, a web service, a smart manufacturing system (MES) service, and an ERP service; and an edge gateway that receives the edge data, processes the edge data, and transmits the edge data to the central server, wherein the edge gateway 10 receives first data from the end device, and If the first data can be generated as second data by processing, the second data is generated based on the first data, and whether the first data cannot be processed, and at least one of the first and second data It is determined whether one should be transmitted to the central server or not, and when it is determined that the upload should be performed, at least one of the first and second data is transmitted to the central server, and the first and The third data generated based on at least one of the second data may be received.

In addition, the edge gateway generates a control command based on at least one of the first to third data, and when the first data cannot be processed, the second data is the same as the first data, and the The third data has the control command, and determining whether to upload and processing the first data to generate the second data are substantially the same, and whether the first data can be processed depends on whether the first data is Determining whether it is suitable for distributed processing, and determining the upload may determine whether the second data should be transmitted to the central server.

The edge gateway according to an embodiment of the present invention receives edge data that generates edge data including at least one of sensor data and equipment data, processes the edge data, and a central server service, a web service, and a smart manufacturing system ( An edge gateway for transmitting the edge data to a central server that provides at least one of MES) service and ERP service, comprising: an end device connection unit configured to receive the edge data from the end device and manage various communication protocols; a multi-protocol adaptation unit for transmitting the received edge data to at least one of an internal application program and an external central server according to a preset policy; an edge processing unit providing an application service by driving an application program using the edge data received from the multi-protocol adaptation unit; and a communication unit transmitting the edge data received from the multi-protocol adaptation unit to the central server.

In another aspect, the edge gateway may include: an end device connection unit configured to receive the edge data from the end device and manage various communication protocols; a multi-protocol adaptation unit for transmitting the received edge data to at least one of an internal application program and an external central server according to a preset policy; an edge processing unit providing an application service by driving an application program using the edge data received from the multi-protocol adaptation unit; and a communication unit for transmitting the edge data received from the multi-protocol adaptation unit to the central server.

In addition, the end device connection unit has a network expansion slot module that expands the communication environment by mounting various communication modules, and the communication module includes a Wi-Fi module, a LoRa module, an NB-IoT module, a Zigbee module, a Bluetooth module, and a Wi-Fi module. -It is any one of SUN module, CANbus module, RS-238/485 module, and Ethernet module, some of the communication modules are fixedly mounted on the end device connection part, and the multi-protocol adaptation part is mounted on the network expansion slot module a multi-protocol manager that identifies the communication module and creates an agent that manages a communication protocol supported by the identified communication module; a data manager that manages the edge data received from the multi-protocol manager and determines whether to perform edge computing on the edge data; and if the edge data is data for edge computing, a service manager for receiving the edge data and providing an application service.

In addition, the edge processing unit may include a gateway application and data analysis unit.

In addition, the gateway application may include: an edge rule engine for registering, changing, or deleting a rule for processing the edge data; an edge data handler for pre-processing, filtering, and correcting the edge data according to the rule; and an edge real-time service for managing the rule and detecting an event or failure, wherein the rule includes a rule for correcting the edge data and correcting a defect, a rule for filtering or transforming data, a rule for detecting an event or failure and the data analysis unit may control and analyze the equipment built by the end device using the data transmitted from the gateway application.

A smart factory management system using an edge computing-based IoT gateway according to the present invention does not require a user to manage various communication protocols, and can provide cost reduction, high functionality, and high convenience by supporting edge computing.

1 is a block diagram of an IoT gateway system according to the present invention;
Fig. 2 is a block diagram of the edge gateway of Fig. 1;
3 is a block diagram of the communication unit of FIG. 2;
4 is a block diagram of the multi-protocol adaptation unit of FIG. 2;
5 is a block diagram of the edge processing unit of FIG. 2, and
6 is a flowchart of a smart factory management method using an edge computing-based IoT gateway according to the present invention.

Hereinafter, the present invention will be described in more detail with reference to the drawings.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items. 'or' may be construed as a logical exclusive sum in context, but in general, unless there is a direct description such as 'otherwise' or 'logical exclusion', it has the same meaning as 'and/or', that is, it is interpreted as a logical sum. do.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle. Also, when the first and second components on the network are connected or connected, it means that data can be exchanged between the first and second components by wire or wirelessly.

In addition, the suffixes "module" and "part" for the components used in the following description are given simply in consideration of the ease of writing the present specification, and do not impart a particularly important meaning or role by themselves. Accordingly, the terms “module” and “unit” may be used interchangeably.

When these components are implemented in actual applications, two or more components may be combined into one component, or one component may be subdivided into two or more components as needed. The same reference numerals are given to the same or similar components throughout the drawings, and detailed descriptions of the components having the same reference numerals may be omitted instead of being replaced with the descriptions of the above-described components.

Furthermore, the invention encompasses all possible combinations of the embodiments indicated herein. Various embodiments of the present invention are different, but not mutually exclusive. One embodiment of a particular shape, structure, function, and characteristic described herein may be embodied in another embodiment. For example, components mentioned in the first and second embodiments may perform all functions of the first and second embodiments.

1 is a block diagram of an IoT gateway system according to the present invention, FIG. 2 is a block diagram of the edge gateway of FIG. 1, FIG. 3 is a block diagram of the communication unit of FIG. 2, and FIG. 4 is a block diagram of the multi-protocol adaptation unit of FIG. 5 is a block diagram of the edge processing unit of FIG. 2, and FIG. 6 is a flowchart of a smart factory management method using an edge computing-based IoT gateway according to the present invention.

Referring to FIG. 1 , a smart factory management system using an edge computing-based IoT gateway includes at least one end device 50; 50-1, 50-2, and at least one edge gateway 10, 10-2, 10-3. ), and a central server 90 .

The end device 50 is various devices used in industry, and is a sensor device, an actuator, a physical measuring instrument, a PLC (Logic Controller), a DCS (Distributed Control System), an OPC (OLE for process control), and/or a DBMS ( Database Management System) and the like. The end device 50 is not limited thereto, and may be various devices, and may be various things of IoT or IIoT.

The end device 50 may be a part of equipment or apparatus, and such equipment or apparatus may construct a system such as a factory.

The end device 50 may output facility data and sensor data (hereinafter, 'edge data'). Edge data includes at least one of temperature, humidity, brightness, dust (carbon), pressure, vibration, voltage, current, parallelism, magnetic, illuminance, proximity, distance, tilt, gas, heat detection, flame detection, metal detection, rotation, etc. one can be provided. To generate this data, the end device 50 includes a temperature sensor, a humidity sensor, a brightness sensor, a dust sensor, a pressure sensor, a vibration sensor, a voltage sensor, a current sensor, a parallel sensor, a magnetic sensor, an illuminance sensor, a proximity sensor, and a distance sensor. , a tilt sensor, a gas sensor, a heat sensor, a flame detection sensor, a metal detection sensor, a Hall sensor, and the like.

The end device 50 may communicate with the outside in short-distance/long-distance and wired/wireless communication, and may transmit edge data to the outside.

The end device 50 may have a different communication protocol for each device. Accordingly, the AP (Access Point) should have all communication protocols and should be able to collect data according to each communication protocol. The smart factory management system using the edge computing-based IoT gateway according to the present invention can solve this problem.

The edge gateway 10 may receive the edge data of the end device 50 , process the edge data or transmit it to the external central server 90 .

The edge gateway 10 may be implemented as various devices other than a device implementing a general access point, or may include various devices. The various devices may be a server, PC, notebook computer, tablet PC, smart phone, and the like.

The edge gateway 10 may provide edge computing. Edge computing is a distributed, open IT architecture that can provide distributed processing power to support mobile computing and/or Internet of Things (IoT) technologies.

The edge gateway 10 provides edge computing, enabling real-time data processing without latency, supporting the acceleration of data flow, and reducing latency in response to data almost immediately as it is generated; , by supporting efficient data processing, Internet bandwidth usage can be reduced, and useful security services can be provided by not using the public domain.

The edge gateway 10 may not only process data by itself, but also select it or transmit it to the central server 90 according to a preset policy.

The central server 90 may be an external network connected to the edge gateway 10 . The central server 90 may be various central server platforms such as the Internet, a server providing services, a smart manufacturing system (MES) deployed in a factory, enterprise resource planning (ERP), and supervisory control and data acquisition (SCADA).

Referring to FIG. 2 , the edge gateway 10 includes a communication unit 110 , a manipulation unit 120 , an output unit 130 , a storage unit 140 , a power supply unit 150 , an end device connection unit 160 , and multi-protocol adaptation. It may include a unit 170 and an edge processing unit 200 .

The communication unit 110 may exchange data with the central server 90 by wire or wirelessly. The communication unit may include a short-range communication module, a wireless Internet module, a GPS module, and a mobile communication module.

The short-distance communication module refers to a module for short-distance communication. As the short-distance communication technology, Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, etc. may be used.

The wireless Internet module refers to a module for wireless Internet access. As wireless Internet technologies, wireless LAN (WLAN) (Wi-Fi), wireless broadband (Wibro), World Interoperability for Microwave Access (Wimax), High Speed Downlink Packet Access (HSDPA), etc. may be used.

The Global Position System (GPS) module 125 may receive location information from a plurality of GPS satellites.

The mobile communication module transmits/receives wireless signals to and from at least one of a base station, an external terminal, and a server on a mobile communication network. Here, the wireless signal may include a voice call signal, a video call call signal, or various types of data according to text/multimedia message transmission/reception.

The communication unit 110 may transmit the production site data received from the end device 50 through the end device connection unit 160 to the central server 90 according to a wired communication method or a wireless communication method.

The communication unit 110 transmits the edge data processed by the edge processing unit 200 (particularly, the data manager 173) to the central server 90 to request a necessary service or receive a corresponding service.

The communication unit 110 may include a server management module 111 , a data broker manager module 113 , and a data broker module 115 .

The server management module 111 may manage to which service of the central server 90 the edge data is sent.

The data broker manager module 113 may transmit edge data to a data broker module 115 that manages a central server service to which edge data is to be transmitted.

The data broker module 115 may convert edge data to be suitable for a corresponding central server service. The data broker module 115 may include an MES data broker, an ERP data broker, a central server data broker, a web data broker, and the like.

Each broker can transmit the corresponding data to the server that provides the corresponding service. Brokers can be created in bundles.

The operation unit (user input unit) 120 generates key input data input by the user for controlling the operation of the edge gateway 10 .

The output unit 130 is for outputting an audio signal, a video signal, or an alarm signal. The output unit 130 may include a display module and a sound output module.

The display module displays and outputs information processed by the edge gateway 10 . The display module 151 includes a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, and a three-dimensional display ( 3D display) may be included.

The display module may display the data of the production site received from the end device 50 through the end device connection unit 160 .

The sound output module outputs audio data received from the communication unit 110 or the end device connection unit 160 or stored in the storage unit 140 . Such a sound output module may include a speaker, a buzzer, and the like.

The storage unit 140 may store data and programs necessary for the edge gateway 10 to operate.

The storage unit 140 may store a plurality of application programs (or applications) driven by the edge gateway 10 , data for operation of the edge gateway 10 , and commands. At least some of these applications may be downloaded from an external server through wireless communication.

The application program may be stored in the storage unit 140 , installed on the edge gateway 10 , and driven to perform an operation (or function) of the edge gateway 10 under the control of the controller 100 .

The storage unit 140 is a flash memory type (Flash Memory Type), a hard disk type (Hard Disk Type), a multimedia card micro type (Multimedia Card Micro Type), a card type memory (eg, SD or XD memory, etc.) , magnetic memory, magnetic disk, optical disk, random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable memory (PROM) Read-Only Memory) may include at least one storage medium. In addition, the edge gateway 10 may operate a web storage that performs a storage function of the storage unit 140 on the Internet, or may operate in connection with the web storage.

The storage unit 140 may store the data of the production site received from the end device 50 through the end device connection unit 160 .

The power supply unit 150 receives external power and internal power under the control of the control unit 100 and supplies power necessary for the operation of each component.

The end device connection unit 160 may communicate with the end device 50 . The end device connection unit 160 may communicate with a plurality of end devices 50 .

The end device connection unit 160 may collect data of the production site sensed by the end device 50 and transmitted in real time in real time.

As described above, the end device 50 may have any communication protocol. Accordingly, the end device connection unit 160 should be able to provide various communication protocols.

The end device connection unit 160 may support various standard protocols, industry standards, and non-standard protocols (provided by sensor/equipment manufacturers) in order to collect data of manufacturing facilities and sensors. For example, the end device connection unit 160 supports a PLC (Logic Controller), a universal asynchronous transceiver (UART), RS-485, USB, RTC, TCP/IP, and the like. The IoT sensor integration module (M3) is a wireless communication module that follows Bluetooth, Zigbee, infrared communication (IrDA), Wi-Fi communication protocols, and LoRa that follows the LoRa communication protocol. LoRa) communication module, 3G, LTE, LTE-M communication protocol can be supported.

The end device connection unit 160 may include a network expansion slot module 165 capable of expanding various communication modules. The communication module may include a Wi-Fi module, a LoRa module, an NB-IoT module, a Zigbee module, a Bluetooth module, a Wi-SUN module, a CANbus module, an RS-238/485 module, an Ethernet module, and the like.

Some of the communication modules mentioned above are fixed to the end device connection unit 160 , and the communication protocol may be appropriately extended by mounting the communication module according to the communication protocol of the end device 50 .

The multi-protocol adaptation unit 170 may be compatible so that the edge data received from the end device connection unit 160 can be used by other applications or central server services. The multi-protocol adaptation unit 170 may transmit edge data to either or both of the edge processing unit 200 or the communication unit 110 according to a policy or as needed.

It is preferable that the multi-protocol adaptation unit 170 encapsulates or encrypts data to be transmitted to the central server 90 and transmits the data.

The multi-protocol adaptation unit 170 may include a multi-protocol manager 171 , a data manager 173 , and a service manager 175 .

The multi-protocol manager 171 may include a plug-in manager, various agents, and a common protocol handler.

The plug-in manager may identify a communication module mounted on the network expansion slot module 165 and create an agent that manages a communication protocol supported by the corresponding communication module.

Agents can be created virtualized like containers or virtual machines (VMs).

The agent may be an OPC-UA agent, a SECS-I agent, an HSMS agent, a MODBUS agent, a PROFINET agent, an MQTT agent, a CoAP agent, and an EtherNet-IP agent.

The common protocol handler converts the received edge data into a higher layer protocol, etc., so that it can be used by other AIPs or services. The common protocol handler may switch protocols so that the edge processing unit 200 or the central server 90 can use edge data.

The data manager 173 may manage edge data received from the multi-protocol manager 171 . The data manager 173 may determine whether to perform edge computing on edge data. If it is determined that it is edge data to be edge computed, the data manager 173 may transmit the edge data to the service manager 175 . Otherwise, the data manager 173 may transmit edge data to the communication unit 110 .

The service manager 175 may perform a management function of delivering edge data to various APIs. The service manager 175 may perform authentication, service API control, and the like.

The edge processing unit 200 may drive several applications. The edge processing unit 200 may be a pivotal part for enabling the edge gateway 10 to function as an edge computing.

The edge processing unit 200 processes some of the data processing, analysis and control functions provided by the central server platform and enterprise computer system (MES, etc.) in a short distance to the facilities/sensors of the manufacturing site, thereby improving the performance of smart factory application services. can be

The edge processing unit 200 intelligently filters/combines/corrects/analyzes data collected from various sensors/equipment, and an edge computing concept for improving the performance of smart factory applications, services, and systems can be applied.

The edge processing unit 200 may process data by itself or distributed processing through various external devices through the communication unit 110 .

The edge processing unit 200 may include a gateway application 210 and a data analysis unit 260 .

The gateway application 210 may include an edge rule engine 220 , an edge data handler 230 , and an edge real-time service 240 .

The edge rule engine 220 may register, change, or delete a rule for processing edge data. The rule may include a rule for correcting data including edge data or correcting a defect, a rule for filtering or transforming data, a rule for detecting an event or a failure, and the like.

The edge data handler 230 may preprocess, filter, and/or correct data according to a rule.

The edge real-time service 240 operates in real time to manage rules and detect events or failures, and may control other components or data.

The data analysis unit 260 may control or analyze the end device 50 or the equipment/system built by the end device 50 using the data transmitted from the gateway application 210 .

The data analysis unit 260 may include a big data platform 270 , an edge analysis module 280 , and an edge diagnosis module 290 .

The big data platform 270 may collect and/or store data. The big data platform 270 may pre-process and analyze data. The big data platform 270 may include an operating system for processing big data.

The edge analysis module 280 may analyze machine learning for control and/or analysis or develop a model.

The edge analysis module 280 may store facility/sensor data based on big data and build a platform. The edge analysis module 280 may select a machine learning data analysis algorithm (RNN, LSTM, CNN, etc.) or design it by application. The edge analysis module 280 may learn an analysis algorithm or verify suitability.

The edge diagnosis module 290 may monitor an industrial site and design a predictive maintenance function.

The edge diagnosis module 290 may select equipment/sensors/data to be monitored and design a monitoring policy. The edge diagnosis module 290 may define process variables affecting equipment/process conditions. The edge diagnosis module 290 may design a statistical analysis-based sensing data analysis and prediction technology. The edge diagnosis module 290 may design a predictive maintenance function to which a machine learning analysis algorithm is applied.

The edge diagnosis module 290 may design a remote control function in a mobile terminal such as a smart phone or a tablet PC.

The control unit 100 may control the overall operation of the edge gateway 10 by generally controlling the operation of the respective units. The control unit 100 may execute an overall control function of the edge gateway 10 by using the program and data stored in the storage unit 140 . The controller 100 may include RAM, ROM, CPU, GPU, and a bus, and the RAM, ROM, CPU, GPU, etc. may be connected to each other through a bus.

Referring to FIG. 6 , the edge gateway 10 may be connected to the central server 90 ( S510 ) and connected to the end device 50 ( S515 ). The edge gateway 10 may be connected to the end device 50 while being connected to the central server 90 . The edge gateway 10 may be connected to the central server 90 by wire or wirelessly, and may be connected to the end device 50 wirelessly.

The end device 50 may transmit the first data data1 to the edge gateway 10 ( S520 ). To this end, the end device 50 may collect the first data data1 . The first data data1 may include at least one of sensing data of the external environment of the end device 50 , state data of the end device 50 , and a request required for the operation of the end device 50 . have.

The edge gateway 10 may process the first data data1 received from the end device 50 ( S525 ). The edge gateway 10 may generate the second data data2 based on the first data data1 . The second data data2 may include at least one of a processing result for the first data data1 and a request for the end device 50 .

The edge gateway 10 may determine whether to upload the first data data1 and/or the second data data2 to the central server 90 while processing the first data data1 ( S525 ) ( S530 ). ).

When the first data data1 is data to be uploaded to the central server 90 , the edge gateway 10 may transmit the second data data2 to the central server 90 ( S535 ). In this case, the second data data2 may be the same as the first data data1.

When the second data data2 needs to be uploaded to the central server 90 , the edge gateway 10 may transmit the second data data2 to the central server 90 ( S535 ). In this case, the second data data2 is generated based on the first data data1 and may be different from the first data data1 .

The edge gateway 10 may receive the third data data3 from the central server 90 ( S540 ). The third data data3 may be generated based on at least one of the first and second data data2 .

The processing of the first data data1 ( S525 ) and the determination of whether to upload ( S539 ) of the edge gateway 10 may be simultaneously executed, or the determination of whether to upload ( S539 ) may be executed before the processing of the first data ( data1 ) ( S525 ). . That is, while attempting distributed processing of the first data data1 , it is possible to determine whether distributed processing is impossible or whether second data data2 , which is a result of distributed processing, should be uploaded to the central server 90 .

The central server 90 processes the first and/or second data data1/2 received from the edge gateway 10, and the third data data3 corresponding to the first and second data data1/2 ) can be created. The third data data3 may include at least one of a processing result for the second data data2 and a response to a request for the end device 50 .

The central server 90 may generate the third data data3 from at least one of the first and second data data1/2 by using a machine-learning model. The central server 90 may perform machine learning with the second data data2 to update the machine-learned model.

The edge gateway 10 may generate a control command for the end device 50 . The edge gateway 10 may generate a control command based on at least one of the first data data1 to the third data data3 .

The control command may be for controlling the movement of the end device 50 or for software update.

The edge gateway 10 may transmit a control command to the end device 50 (S550).

The end device 50 may be driven according to a control command.

The present invention may be implemented in hardware or software. Implementation The present invention can also be implemented as computer-readable codes on a computer-readable recording medium. That is, it may be implemented in the form of a recording medium including instructions executable by a computer. The computer readable medium includes any type of medium in which data that can be read by a computer system is stored. Computer-readable media may include computer storage media and communication storage media. Computer storage media includes all storable media implemented as any method or technology for information storage, such as computer-readable instructions, data structures, program modules, and other data, and includes volatile/nonvolatile/hybrid memory. Whether or not, it is not limited to whether the detachable / non-separable type. Communication storage media includes a modulated data signal or transmission mechanism, such as a carrier wave, any information delivery media, and the like. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the technical field to which the present invention pertains.

In addition, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention as claimed in the claims In addition, various modifications are possible by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or prospect of the present invention.

50: end device 10: edge gateway
90: central server 100: control unit
110: communication unit 120: operation unit
130: output unit 140: storage unit
150: power supply 160: end device connection part
170: multi-protocol adaptation unit 200: edge processing unit

Claims (5)

an end device that generates edge data including at least one of sensor data and facility data;
a central server providing at least one of a central server service, a web service, a smart manufacturing system (MES) service, and an ERP service; and
A smart factory management method using an edge computing-based IoT gateway including an edge gateway that receives the edge data, processes the edge data, and transmits the edge data to the central server, in the edge gateway,
receiving first data from the end device;
generating the second data based on the first data when generating the second data by processing the first data;
determining whether to upload whether the first data cannot be processed and whether at least one of the first and second data must be transmitted to the central server;
transmitting at least one of the first and second data to the central server when it is determined that the upload is necessary; and
Receiving third data generated based on at least one of the first and second data from the central server; Smart factory management method using an edge computing-based IoT gateway comprising a. The method of claim 1,
Further comprising the step of generating a control command based on at least one of the first to third data,
If the first data cannot be processed, the second data is the same as the first data,
the third data includes the control command;
The step of determining whether to upload and the step of processing the first data and generating the second data are substantially the same,
Whether the first data can be processed is to determine whether the first data is suitable for distributed processing,
The upload determination step further comprises the step of determining whether the second data should be transmitted to the central server. an end device that generates edge data including at least one of sensor data and facility data;
a central server providing at least one of a central server service, a web service, a smart manufacturing system (MES) service, and an ERP service; and
an edge gateway that receives the edge data, processes the edge data, and transmits the edge data to the central server;
The edge gateway is
receiving first data from the end device;
If the first data can be generated as second data by processing, the second data is generated based on the first data,
determining whether the first data cannot be processed and whether at least one of the first and second data must be transmitted to the central server is uploaded;
When it is determined that the upload is necessary, at least one of the first and second data is transmitted to the central server,
A smart factory management system using an edge computing-based IoT gateway that receives third data generated based on at least one of the first and second data from the central server. 4. The method of claim 3,
The edge gateway generates a control command based on at least one of the first to third data,
If the first data cannot be processed, the second data is the same as the first data,
the third data includes the control command;
Determining whether to upload and generating the second data by processing the first data are substantially the same,
Whether the first data can be processed is to determine whether the first data is suitable for distributed processing,
A smart factory management system using an edge computing-based IoT gateway, wherein the upload determination is to determine whether the second data should be transmitted to the central server. 4. The method of claim 3,
The edge gateway may include: an end device connection unit configured to receive the edge data from the end device and manage various communication protocols; a multi-protocol adaptation unit for transmitting the received edge data to at least one of an internal application program and an external central server according to a preset policy; an edge processing unit providing an application service by driving an application program using the edge data received from the multi-protocol adaptation unit; and a communication unit for transmitting the edge data received from the multi-protocol adaptation unit to the central server,
The end device connection unit includes a network expansion slot module that expands the communication environment by mounting various communication modules,
The communication module is any one of a Wi-Fi module, a LoRa module, an NB-IoT module, a Zigbee module, a Bluetooth module, a Wi-SUN module, a CANbus module, an RS-238/485 module, and an Ethernet module, edge computing-based IoT Smart factory management system using gateway.

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