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A Study on The Real-Time Data Collection/Analysis/Processing Intelligent IoT

실시간 데이터 수집/분석/처리를 위한 지능형 IoT

  • 김희철 (광주대학교 컴퓨터공학과)
  • Received : 2018.12.14
  • Accepted : 2019.04.15
  • Published : 2019.04.30

Abstract

This study is based on big big data base for real-time collection/analysis/processing of data, creative analysis of data assets, and intelligent processing system based on IoT, which can measure distribution phase in real time. The mobile terminal uses the SDK of the provided device to measure the data information on the consumption of specific seafood production and distribution. We use the oneM2M protocol to store various kinds of information needed for seafood production, and implement a DB Server and a system that allows the administrator to manage the system using the UI.

본 연구는 데이터의 실시간 수집/분석/처리를 위한 빅데이터 기반, 데이터 자산의 창의적 분석과 유통단계를 실시간으로 측정할 수 있는 IoT 기반 지능형 처리시스템을 개발한다. 모바일 단말은 제공된 디바이스의 SDK를 이용하여 특정지역 해산물 생산유통소비에 대한 데이터 정보를 측정한다. 측정된 정보를 oneM2M 프로토콜을 이용하여 해산물 생산에 필요한 각종 정보를 제공하고 DB Server, 관리자가 UI를 이용하여 시스템을 관리할 수 있는 체계를 구현한다.

Keywords

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그림 1. 하드웨어 구성도 Fig. 1 Hardware configuration diagram

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그림 2. 소프트웨어 구성도 Fig. 2 Software Configuration Diagram

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그림 3. 해산물 데이터 수집/저장 기능 Fig. 3 Seafood data collection / storage function

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그림 4. FHIR 기반 이종 시스템과 연동 흐름도 Fig. 4 Flow chart of interworking with FHIR based heterogeneous system

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그림 5. 구간별 통신규격 Fig. 5 Inter-segment communication specification

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그림 6. 빅 데이터 처리 절차 Fig. 6 Big data processing procedure

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그림 7. 학습 알고리즘 구성도 Fig. 7 Learning algorithm composition diagram

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그림 8. oneM2M 표준 SDK 기능 Fig. 8 oneM2M Standard SDK Features

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그림 9. 유통단계 신호측정 시스템 Fig. 9 Travelling step signal measurement system

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