KR20220052790A - Design of ERP-based MES for Smart Factory System Construction - Google Patents
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Abstract
Description
본 발명은 공장관리시스템에 관한 것으로서, 보다 구체적으로는 ERP기반의 스마트팩토리에 관한 것이다.The present invention relates to a factory management system, and more particularly, to an ERP-based smart factory.
원재료를 이용하여 완제품을 생성하기 위한 복수개의 공정들이 연속적으로 수행되고, 각 공정의 산출물들이 서로 혼합되거나 특정 공정의 산출물의 상태가 변화하여 후속 공정으로 공급되는 것과 같이, 각 공정들이 서로 관련되어 있는 생산 방식을 연속공정 생산방식이라 한다. 철강산업, 에너지산업, 제지산업, 또는 정유산업 등이 연속공정 생산방식이 적용되는 대표적인 산업들이다. A plurality of processes for producing a finished product using raw materials are continuously performed, and each process is related to each other, such as when the outputs of each process are mixed with each other or the state of the output of a specific process is changed and supplied to a subsequent process. The production method is called the continuous process production method. The steel industry, the energy industry, the paper industry, or the oil refining industry are representative industries to which the continuous process production method is applied.
이러한 연속공정 생산방식이 적용되는 산업의 경우, 단일공정 생산방식이 적용되는 산업과 달리, 원재료 또는중간재가 고속으로 이동하기 때문에 데이터 수집 주기가 짧고 데이터의 양이 많을 뿐만 아니라, 소음, 먼지, 수분 등이 많은 공장 환경에서 제품이 생산되기 때문에 계측이상이 자주 발생하고, 작업 방법에 따라 중간재들이 서로 혼합되거나 소재의 위치가 이동한다는 특성이 있다. In the case of an industry to which this continuous process production method is applied, unlike an industry to which a single process production method is applied, since raw materials or intermediate materials move at high speed, the data collection cycle is short and the amount of data is large, as well as noise, dust, and moisture. Because the product is produced in a factory environment with a lot of light, there is a characteristic that measurement errors occur frequently, and intermediate materials are mixed with each other or the position of materials is moved depending on the work method.
이에 따라, 연속공정 생산방식이 적용되는 산업의 경우 많은 데이터를 실시간으로 처리할 수 있고, 각 공정 별로 발생된 데이터들을 연계하여 처리할 수 있는 시스템이 요구된다. Accordingly, in the case of an industry to which a continuous process production method is applied, a system capable of processing a lot of data in real time and linking the data generated for each process is required.
또한, 기존의 공장데이터 처리 시스템의 경우 공장데이터 처리 시스템에 특정 명령을 전달하거나 수집 데이터를 조회하고자 하는 경우, 사용자는 공장데이터 처리 시스템에 특화된 전용 인터페이스를 통해 해당 공장데이터 처리시스템에 접속해야만 하기 때문에, 공장데이터 처리 시스템을 구성하는 서버, 네트워크 등과 같은 인프라 자원이나 공장데이터 처리 시스템에 적용된 솔루션이 변경되는 경우 공장데이터 처리 시스템에 접속하기 위한 소프트웨어를 모두 수정해야만 한다는 문제점이 있다 In addition, in the case of the existing factory data processing system, when a specific command is transmitted to the factory data processing system or the user wants to inquire the collected data, the user must access the factory data processing system through a dedicated interface specialized for the factory data processing system. However, when infrastructure resources such as servers and networks constituting the factory data processing system or the solution applied to the factory data processing system are changed, there is a problem that all software for accessing the factory data processing system must be modified.
본 발명은 상술한 문제점을 해결하기 위한 것으로서ERP기반의 스마트팩토리 플랫폼에 접속시킬 수 있는 ERP기반의 스마트팩토리 시스템을 제공하는 것을 그 기술적 과제로 한다.The present invention is to solve the above-mentioned problems, and it is a technical task of the present invention to provide an ERP-based smart factory system that can be connected to an ERP-based smart factory platform.
상술한 기술적 과제를 달성하기 위한 본 발명의 일 측면에 따른 ERP기반의 스마트팩토리 시스템은 데이터 수집장치로부터 수집된 수집데이터를 전처리하는 미들웨어 시스템; 상기 전처리된 수집데이터에 상기 수집데이터가 발생된 공정의 공정 식별자를 매핑하여 매핑 데이터를 생성하고, 생성된 매핑 데이터를 미리 정해진 기준에 따라 정렬하여 정렬 데이터를 생성하는 분산병렬처리시스템; 빅데이터 분석모델을 이용하여 상기 정렬데이터를 분석하는 빅데이터 분석 시스템; 및 상기 미들웨어 시스템, 상기 분산병렬처리시스템, 및 상기 빅데이터분석 시스템 중 적어도 하나에 접속하여 해당 시스템에 접속하고, 리퀘스터(Requester)로부터 수신된 이벤트에 대한 실행결과를 해당 시스템으로부터 획득하여 상기 리퀘스터로 제공하는 서버를 포함하는 것을 특징으로 한다.ERP-based smart factory system according to an aspect of the present invention for achieving the above-described technical problem is a middleware system for pre-processing the collected data collected from the data collection device; a distributed parallel processing system for generating mapping data by mapping the process identifier of the process in which the collected data is generated to the pre-processed collected data, and aligning the generated mapping data according to a predetermined criterion to generate alignment data; a big data analysis system that analyzes the alignment data using a big data analysis model; and by accessing at least one of the middleware system, the distributed parallel processing system, and the big data analysis system to access the system, and obtain the execution result for the event received from the requester from the system to make the request It is characterized in that it includes a server provided as a server.
본 발명에 따르면, ERP기반으로 타겟 시스템에 접속할 수 있는 표준 인터페이스를 제공할 수 있어 타겟 시스템의 인프라 자원이나 솔루션이 변경되는 경우에도 해당 타겟 시스템에 접속하기 위한 앱이나 어플리케이션을 변경할 필요 없어 개발비용을 절감할 수 있다는 효과가 있다.According to the present invention, it is possible to provide a standard interface for accessing the target system based on ERP, so even if the infrastructure resources or solutions of the target system are changed, there is no need to change the app or application for accessing the target system, thereby reducing the development cost It has the effect of saving money.
또한, 데이터 저장 및 활용 유형별로 제공할 수 있어 인프라 자원에 대한 효율성을 제공할 수 있고 사용자에게 보다 빠른 서비스를 제공할 수 있다는 효과가 있다.In addition, since it can be provided by data storage and utilization type, it is possible to provide efficiency for infrastructure resources and to provide faster services to users.
또한, 리퀘스터가 타겟 시스템에 직접 접근하지 않고, 타겟 시스템 별로 제공되는 ERP를 통해 타겟 시스템에 접근하여 이벤트에 대한 호출서비스 및 피드백 서비스를 제공받을 수 있기 때문에 타겟 시스템에 대한 리퀘스터의 접근 편의성을 향상시킬 수 있다는 효과가 있다 In addition, since the requester does not directly access the target system, but accesses the target system through the ERP provided for each target system to receive call service and feedback service for the event, the requester's accessibility to the target system is improved. has the effect of improving
데이터 수집 시스템은 공정에서 발생되는 데이터를 수집한다. 일 실시예에 있어서, 데이터 수집 시스템은 복수개의 공정들이 연속하여 수행되는 연속공정에서 발생되는 데이터를 수집할 수 있다. 연속공정이란 원재료를 이용하여 완제품을 생성하기 위한 복수개의 공정들이 연속적으로 수행되고, 각 공정의 산출물들이 서로 혼합되거나 특정 공정의 산출물의 상태가 변화하여 후속 공정으로 공급되는 방식의 공정을 의미한다. The data collection system collects data generated in the process. In an embodiment, the data collection system may collect data generated in a continuous process in which a plurality of processes are continuously performed. The continuous process refers to a process in which a plurality of processes for producing a finished product using raw materials are continuously performed, and the outputs of each process are mixed with each other or the state of the output of a specific process is changed and supplied to a subsequent process.
철강공정은 제선공정, 제강공정, 연주공정, 및 압연공정 등과 같은 다양한 공정으로 구성되므로, 데이터 수집시스템은 제선공정, 제강공정, 연주공정, 및 압연공정 등과 같은 다양한 공정의 진행 과정에서 발생되는 마이크로 데이터(Micro Data)를 수집한다. 여기서, 마이크로 데이터는 다양한 센서 등을 통해 수집된 데이터 그 자체로서 원시 데이터(Raw Data)를 의미한다. 이하에서는, 설명의 편의를 위해 연속공정에서 수집된 마이크로데이터를 수집 데이터로 표기하기로 한다.Since the steel process consists of various processes such as a steelmaking process, a steelmaking process, a casting process, and a rolling process, the data collection system is a Collect data (Micro Data). Here, the micro data refers to raw data as data itself collected through various sensors and the like. Hereinafter, for convenience of explanation, microdata collected in a continuous process will be denoted as collected data.
데이터 수집 시스템은 연속공정에서 발생된 데이터를 수집하기 위한 다양한계측기, 센서, 액츄에이터 등을 포함한다. 데이터 수집 시스템은 계측기, 센서, 액츄에이터 등에 의해 수집된 데이터를 통합하거나 제어하는 P/C, PLC(Programmable Logic Controller), DCS(Distributed Control System) 등을 더 포함할 수 있다. The data collection system includes various instruments, sensors, actuators, etc. for collecting data generated in a continuous process. The data collection system may further include a P/C, a programmable logic controller (PLC), a distributed control system (DCS), etc. that integrate or control data collected by a measuring instrument, a sensor, an actuator, and the like.
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