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2019 Vol.56, Issue 4 Preview Page

General Remarks

New Opportunities and Challenges of Geo-ICT Convergence Technology: GeoCPS and GeoAI

Geo-ICT 융합기술의 새로운 기회와 도전: GeoCPS와 GeoAI

Dongwoo Ryu1*
류 동우1*
1한국지질자원연구원 지오플랫폼연구본부 Geo-ICT 융합연구팀
* Corresponding Author
30 August 2019. pp. 387-397
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Abstract

Cyber-physical systems (CPS) and artificial intelligence (AI), represented as innovative technologies of the 4th industrial revolution, are developing into Geo-ICT, which is ICT convergence technology based on geoscience knowledge. We proposed the contributions of Geo-ICT to both the mining industry and public sector from various perspectives of the 4th industrial revolution. It was confirmed that Geo-ICT could be an alternative to enhance public acceptance through the coevolution of geoscience and civil society. We compared smart factories and smart mining driven by CPS; through this comparison, we defined the concept of GeoCPS and suggested a direction for the development of smart mining technology. In addition, we reviewed conventional AI and cases where it could be applied to geoscience, and addressed the challenging issues of AI and data-driven informatization in geoscience. In particular, we presented a theory-guided data science model as a Geo-AI utilization model that can take into account the process and data characteristics of the geological resources domain and summarize the effects of synergy.

Keywords
GeoCPS
GeoAI
smart mining
theory-guided data science model

4차 산업혁명의 혁신기술로 대표되는 사이버물리시스템(CPS)과 인공지능(AI)은 지질자원 분야 지식기반 ICT 융합기술인 Geo-ICT라는 새로운 기술 영역으로 발전하고 있다. 다양한 관점에서 4차 산업혁명의 의미를 살펴봄으로써 Geo-ICT 융합기술이 산업과 공공분야에 기여할 수 있는 방향을 찾아보았다. Geo-ICT 융합기술이 지질자원 분야와 시민사회와의 공진화에 기여함으로써 공공 수용성을 제고시킬 수 있는 하나의 대안이 될 수 있음을 확인하였다. IoT의 확장된 개념으로서 CPS가 적용되는 스마트 팩토리와 스마트 마이닝의 산업 환경적 차이를 비교하였다. 이를 통해 GeoCPS의 개념적 정의를 내렸고, 국내 자원산업 환경을 고려한 스마트 마이닝의 기술 개발 방향을 제시하였다. 그리고 전통적 AI 방법론과 활용목적별 적용사례를 살펴보고 자원산업의 디지털화와 지질자원 분야 데이터 정보화를 위한 AI의 도전적 이슈들을 짚어 보았다. 특히 지질자원 분야의 프로세스와 데이터 특성을 고려할 수 있는 GeoAI 활용모델로서 이론기반 데이터과학모델을 제시하였으며 시너지 효과를 정리하였다.

키워드
GeoCPS
GeoAI
스마트 마이닝
이론기반 데이터과학모델
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1)
(사)창조경제연구회, Korea Creative Economy Research Network
2)
International Society of Automation
3)
하드 데이터(hard data)와 대비되는 개념으로, 측정하기 어려운 대상에 대한 정보를 담은 데이터를 소프트 데이터(soft data)라고 하며, 일반적으로 역산모델링 결과나 인간의 판단이나 평가에 의해 제공되는 데이터가 이에 해당한다. 하드 데이터에 비해 불확실성이 매우 크며, 불확실성에 대한 중요한 정보를 제공하는 관측값을 의미할 때도 있다.
Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 56
  • No :4
  • Pages :387-397
  • Received Date :2019. 08. 21
  • Revised Date :2019. 08. 26
  • Accepted Date : 2019. 08. 26
  • DOI :https://doi.org/10.32390/ksmer.2019.56.4.383
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