KR102678986B1 - System and method for collecting data using edge computing - Google Patents

Abstract

The present invention relates to a data collection system and method using edge computing.
The data collection system using edge computing according to the present invention performs preprocessing, analysis, and visualization of data, stores data and a data collection device that provides warning alarms upon detection of abnormal conditions, and stores data stored at preset time intervals. It is characterized by including a gateway that transmits to the server.

Description

Data collection system and method using edge computing {SYSTEM AND METHOD FOR COLLECTING DATA USING EDGE COMPUTING}

The present invention relates to a data collection system and method using edge computing.

A data collection device according to the prior art serves to transmit data input from a sensor to a server.

Depending on the needs of visualizing and preprocessing input data, there is a demand for technology to add new functions to and control data collection devices.

The present invention was proposed to solve the above-mentioned problems, and is intended to control/implement a device that is connected to a sensor and collects data in a smart factory, etc., and determines whether an abnormal state is present through visualization and analysis of the sensor data and provides a warning. The purpose is to provide a data collection system and method using edge computing that provides signals, is equipped with computing functions capable of various calculations, and applies machine learning technology to collect, transmit, and analyze data.

The data collection system using edge computing according to the present invention performs preprocessing, analysis, and visualization of data, stores data and a data collection device that provides warning alarms upon detection of abnormal conditions, and stores data stored at preset time intervals. It is characterized by including a gateway that transmits to the server.

The data collection device performs preprocessing, analysis, and visualization through an embedded board.

When the data collection device receives a voice command from the worker's mobile terminal, it converts the voice into text and then searches for a control signal.

The gateway receives data from the data collection device and the PLC in the machine and transmits it to the server.

The gateway receives sensor data through wireless roller and data from PLC connected to the equipment through RS485 or Ethernet.

When the gateway collects data through Ethernet, it collects data as it executes a program using a compute module.

The gateway transmits the input data to a nearby server, but transmits the data via wireless Wi-Fi or Ethernet.

The gateway simultaneously transmits PLC and sensor data to the server.

The gateway transmits input data in real time, stores the data for a preset period, and transmits it to the server at preset intervals, performing the function as a data logger.

According to an embodiment of the present invention, it is possible to smoothly collect data in a smart factory, etc., and it is possible to select and use necessary functions among various functions according to the environment.

The data collection device according to an embodiment of the present invention has an LCD window, enabling real-time confirmation of actual field conditions and smoothly transmitting data to a server through wired or wireless communication.

The gateway can be used as a data logger, enabling data collection without data loss and transmitting PLC and sensor data simultaneously.

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

Figure 1 shows a data collection device according to the prior art.
Figure 2 is a block diagram showing a data collection system using edge computing according to an embodiment of the present invention.
Figure 3 shows a data collection device and a gateway according to an embodiment of the present invention.
Figure 4 shows a communication structure using a LoRa network according to an embodiment of the present invention.
Figure 5 shows a block diagram of an edge computing device according to an embodiment of the present invention.
Figure 6 shows a system implementation according to an embodiment of the present invention.
Figure 7 is a flowchart showing a data collection method using edge computing according to an embodiment of the present invention.

The above-mentioned object and other objects, advantages and features of the present invention, and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings.

However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms, and the following embodiments will only explain the purpose of the invention to those skilled in the art to which the present invention pertains. It is only provided to easily inform the configuration and effect, and the scope of rights of the present invention is defined by the description of the claims.

Meanwhile, the terms used in this specification are for describing embodiments and are not intended to limit the present invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” means that a mentioned element, step, operation and/or element is dependent on the presence of one or more other elements, steps, operations and/or elements. Or it is not excluded that it is added.

Below, to aid the understanding of those skilled in the art, the background on which the present invention was proposed will first be described, and then the embodiments of the present invention will be described.

Figure 1 shows a data collection device according to the prior art.

A data collection device according to the prior art transmits data input from a sensor to a server.

Data collection devices according to the prior art play a role in extracting and transmitting data from various sensors or equipment within a smart factory, etc., and must operate in a functionally stable manner and perform functions in accordance with the unique characteristics of the factory, as shown in Figure 1 It has a simple structure as shown.

It is sufficient for a data collection device according to the prior art to provide an interface (AI/DI) that can be connected to a sensor and have the function of transmitting input data to a server through wired (Ethernet) or wireless (WiFi) communication.

However, as visualization and preprocessing of the input data are required to be performed at the front end of the server, the functions of the data collection device according to the prior art cannot meet these requirements, and the collection device needs edge computing. ) Various methods are required to add and control functions.

The present invention was proposed to solve the above-mentioned problems, and relates to a data collection system using edge computing proposed as the convenience and importance of data collection increases in the convergence of various technologies and smart factories, etc.

Figure 2 is a block diagram showing a data collection system using edge computing according to an embodiment of the present invention.

The data collection system 100 using edge computing according to an embodiment of the present invention performs preprocessing, analysis, and visualization of data, and stores the data and a data collection device 110 that provides a warning alarm according to detection of abnormal conditions. And includes a gateway 120 that transmits the stored data to the server 130 at preset time intervals.

The data collection device according to the prior art only performs a passive role of receiving data to collect input sensor data.

However, as an edge computing function is added to the data collection device 110 according to an embodiment of the present invention, various functions such as identifying abnormal conditions and sounding an alarm or voice communication through a microphone/speaker with the central server are performed. do.

Additionally, these functions can be controlled from outside the data collection device 110.

For example, a nearby worker can directly access the data collection device 110 and control it through the screen, but if urgent processing is required in a situation where direct access is not possible, voice or voice information is provided through the worker's terminal (smartphone). Control signals are transmitted through text.

When a worker inputs a voice command through a terminal, the voice is converted into text through edge computing within the data collection device 110, and then the control signal is found and the function for the command is executed, making it easy and quick to control. It is possible to build.

In addition, through machine learning, it is possible to conduct data analysis at the front end (data collection device) and quickly analyze the results.

The data collection device 110 according to an embodiment of the present invention has functions such as pre-processing and analysis through an embedded board, visualization function identical to that of the central server, and communication through STT (Speech To Text)/TTS (Text To Speech) functions. It is a multi-functional collection device with many functions.

According to an embodiment of the present invention, a plurality of data collection devices 110 transmit data to the gateway 120 through a LoRa wireless network, and the gateway 120 collects data from the data collection device 110 and the machine device. Data is received from the PLC and transmitted to the server 130.

According to an embodiment of the present invention, the gateway 120 simultaneously stores data through LoRa wireless communication and wired communication through Ethernet/RS485 and then transmits the data to the server 130 at regular time intervals.

According to an embodiment of the present invention, it is possible to transmit PLC and sensor data simultaneously, and it is possible to function as a data logger by adding memory.

In other words, it is possible to reduce data loss by transmitting input data in real time, storing it for a certain period of time, and then transmitting it to the server at regular intervals (e.g., a week or a desired period).

3 shows a gateway communicating with a data collection device and wireless roller according to an embodiment of the present invention.

In the case of the data collection device 110, input and output options are given so that the user can select and use them so that they can be applied to various environments.

The sensor connected to the outside is selected depending on the usage environment, but the built-in sensor (Bosch sensor) senses basic information such as temperature/humidity/pressure/gas.

When an abnormal condition is detected from sensing data, the data collection device 110 provides a warning alarm to nearby managers, and the warning alarm is provided through a buzzer, a warning light, etc.

Additionally, the data collection device 110 is capable of conveying abnormal conditions to other users or the central administrator through a speaker and microphone.

The output of the data collection device 110 provides wireless communication such as Wi-Fi and LoRa so that it can be selected according to the usage environment, and is connected to other smart devices through BLE to perform data reception and environment setting functions.

The data collection device 110 is equipped with an embedded board such as a compute module to perform functions for preprocessing and calculation of the input data, processes the input data, and then delivers the final data to the server through the MCU.

The data collection device 110 operates with a battery so that it can be easily installed in various locations in the factory, and displays the current status through an LCD window to enable confirmation and monitoring of current data contents.

Each block of the data collection device 110 may operate simultaneously, but is designed to enable power control so that it can operate individually to reduce power consumption.

The gateway 120 according to an embodiment of the present invention stores input data in memory to act as a data logger and transmits the data to the server at a certain time.

Sensor data is input through wireless roller, and data from PLC connected to the equipment is input through RS485 or Ethernet.

RS485 can store PLC data in the MCU through its own program, but Ethernet requires executing a program to collect data, and in this case, data is collected using a compute module.

The entered data is transmitted to a nearby server via wireless Wi-Fi or Ethernet.

[Table 1] below is a table summarizing the above-mentioned functions. Since various functions are provided by one device, current consumption may be high, but power supply can be controlled for each block, so power can be supplied by function in actual use. supply.

function detail LCD display Input data and graph visualization Built-in sensor Input basic sensor data such as temperature and humidity External sensor Data input by connecting sensors to various interfaces wireless communication Wi-Fi and LoRa communication provided BLE communication Connect to smart devices to share data and set preferences Buzzer and warning lights When an abnormal condition occurs, a warning signal is transmitted through sound and light. microphone and speaker Provides voice communication with other collection devices or central servers embedded module Provides STT/TTS for preprocessing, calculation, and voice and text communication of input data PLC data acquisition Data collection by connecting to PLC via RS485 and Ethernet within the gateway battery power Powered for easy movement and installation

Figure 4 shows a communication structure using a LoRa network according to an embodiment of the present invention.

Referring to Figure 4, using a plurality of smart devices (200a, 200b, 200c), the status of the collection devices (110a, 110b, 110c) connected to each smart device can be checked, and work efficiency can be improved through voice/text communication. It is possible to increase .

In particular, when communicating in a noisy place, text communication is used and voice signals are converted into text and transmitted, thereby implementing a communication structure that is not dependent on the environment.

According to an embodiment of the present invention, as shown in (a) of FIG. 5, compared to a Data Collecting Unit (DCU), processing and computing functions are added to the edge computing device.

An edge computing device for collecting data from IoT sensors includes an interface part, a memory part, a processing part, and a communication part.

Sensors have different types of interfaces depending on the manufacturer, and various interfaces must be provided to users depending on the purpose and use.

The processor of an edge computing device consists of an MCU or CPU, which processes data into appropriate knowledge that meets the purpose of the application.

The final modified data is transmitted to the server through wired and wireless communications such as Wi-Fi, roller, and Ethernet, and this technical configuration can be applied to portable vehicles such as forklifts and AGVs.

As shown in (b) of FIG. 5, data or information refined from the edge computing device is transmitted to cloud computing or a standalone server.

New functions are defined by processing algorithms and can be changed depending on usage.

Sensor data has various types of formats and characteristics, and raw data is meaningless until final processing.

Hereinafter, system implementation according to an embodiment of the present invention will be described with reference to Figures 6 (a) and (6).

Explaining the system implementation, a CPU module must be selected, and commercial products such as Raspberry-pi are used to reduce the research and development period and cost for calculating and estimating useful data.

Data collection devices are proposed taking into account interfaces with sensors to provide various types and applicable connections.

Data from the data collection device is transmitted to the MCU, and it is transmitted wirelessly or wired to the server according to a designated protocol.

In Figure 6 (a), the data collected in the DAQ (data acquisition device) is transmitted to the gateway through LoRa communication, and the gateway is connected to the PLC by wire, receives the PLC data, and then transmits the data to the server along with the DAQ data. It shows a collection and transmission system, and Figure 6(b) shows a system that actually demonstrates the structural diagram shown in Figure 6(a).

Referring to (a) of FIG. 6, it shows a system structure that can transmit various data to a server through a gateway.

Data sent to the server is transferred to the database, and their processing results are displayed on the monitor in real time.

Performance (speed) and stability expansion may vary depending on network conditions, data volume size, and number of edge computing modules.

Each DAQ device can transmit data through a gateway or directly to a wirelessly connected server.

When data is collected and processed in DAQ, the data is processed appropriately for analysis and sent to the server.

When this structure is applied to IoT, DAQ devices are associated with collaboration edges such as nodes or end devices and gateways.

Therefore, this structure can be easily applied to IoT applications and integrated and expanded into systems in other areas such as smart factories and smart cities.

M2M data transmission in IoT systems involves transmitting data collected from sensors, and according to this proposal, it includes the process of processing the data into final meaningful results in DAQ.

Using embedded boards, it is possible to expand the functionality of edge computing devices such as DAQ, calculations and operations are performed on the front end, and the final data is transmitted to the server for processing and visualization.

Figure 7 is a flowchart showing a data collection method using edge computing according to an embodiment of the present invention.

When environment settings and data input are performed (S510), it is checked whether an abnormal condition has occurred through the input data (S520).

If it is determined that an abnormal condition has occurred in step S520, a warning signal is generated (S530).

If it is determined to be in a normal state in step S520, the data is transmitted to the server, and at the same time, it is checked whether analysis is necessary (S540).

If analysis is determined to be necessary in step S540, preprocessing and analysis are performed on the embedded board (S550), and then data visualization is performed (S560).

If analysis is determined to be unnecessary in step S540, data visualization is performed (S560).

Data visualization according to an embodiment of the present invention is performed not only on the server but also on the data collection device, and at this time, visualization of the same data is performed.

If data analysis is necessary, the analyzed data is sent to the server.

Meanwhile, the data collection method using edge computing according to an embodiment of the present invention may be implemented in a computer system or recorded on a recording medium. A computer system may include at least one processor, memory, user input device, data communication bus, user output device, and storage. Each of the above-described components communicates data through a data communication bus.

The computer system may further include a network interface coupled to the network. A processor may be a central processing unit (CPU) or a semiconductor device that processes instructions stored in memory and/or storage.

Memory and storage may include various types of volatile or non-volatile storage media. For example, memory may include ROM and RAM.

Therefore, the data collection method using edge computing according to an embodiment of the present invention can be implemented in a method executable on a computer. When the data collection method using edge computing according to an embodiment of the present invention is performed on a computer device, computer-readable instructions may perform the data collection method according to the present invention.

Meanwhile, the data collection method using edge computing according to the present invention described above can be implemented as computer-readable code on a computer-readable recording medium. Computer-readable recording media include all types of recording media storing data that can be deciphered by a computer system. For example, there may be read only memory (ROM), random access memory (RAM), magnetic tape, magnetic disk, flash memory, and optical data storage devices. Additionally, the computer-readable recording medium can be distributed to a computer system connected to a computer communication network, and stored and executed as a code that can be read in a distributed manner.

So far, we have looked at the embodiments of the present invention. A person skilled in the art to which the present invention pertains will understand that the present invention may be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered from an illustrative rather than a restrictive perspective. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the equivalent scope should be construed as being included in the present invention.

110: data collection device 120: gateway
130: Server 200: Terminal

Claims (7)

A data collection device that performs preprocessing, analysis, and visualization of data and provides warning alarms upon detection of abnormal conditions; and
It includes a gateway that stores the data and transmits the stored data to a server at preset time intervals,
The gateway receives sensor data through wireless roller, receives data from the PLC in the machine through RS485 or Ethernet, stores the sensor data and data received from the PLC for a preset period, and stores the sensor data and data received from the PLC at preset intervals. simultaneously transmitting to the server according to
Data collection system using in-edge computing.
According to paragraph 1,
The data collection device performs preprocessing, analysis, and visualization of the data through an embedded board.
Data collection system using in-edge computing.
According to paragraph 1,
When the data collection device receives a voice command from the worker's mobile terminal, the data collection device converts the voice into text to find a control signal.
Data collection system using in-edge computing.
delete delete According to paragraph 1,
When the gateway receives data through the Ethernet, it collects data using a compute module.
Data collection system using in-edge computing. delete