Explosives and Blasting (화약ㆍ발파)

Korean Society of Explosives and Blasting Engineering (대한화약발파공학회)
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Review of the Application of Artificial Intelligence in Blasting Area

발파 분야에서의 인공지능 활용 현황

  • 김민주 (인하대학교 에너지자원공학과) ;
  • ;
  • 권상기 (인하대학교 에너지자원공학과)
  • Received : 2021.07.20
  • Accepted : 2021.08.10
  • Published : 2021.09.30
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Abstract

With the upcoming 4th industrial revolution era, the applications of artificial intelligence(AI) and big data in engineering are increasing. In the field of blasting, there have been various reported cases of the application of AI. In this paper, AI techniques, such as artificial neural network, fuzzy logic, generic algorithm, swarm intelligence, and support vector machine, which are widely applied in blasting area, are introduced, The studies about the application of AI for the prediction of ground vibration, rock fragmentation, fly rock, air overpressure, and back break are surveyed and summarized. It is for providing starting points for the discussion of active application of AI on effective and safe blasting design, enhancing blasting performance, and minimizing the environmental impact due to blasting.

4차 산업혁명 시대의 도래와 함께 빅데이터의 활용과 인공지능 기법을 활용한 공학적 응용이 증가하고 있다. 발파 분야에서도 인공지능 기법을 활용한 다양한 연구들이 보고되고 있다. 본 논문에서는 발파분야에서 많이 활용되고 있는 인공신경망, 퍼지 이론, 유전자 알고리즘, 떼 지능, 서포트 벡터머신과 같은 인공지능 기법을 소개하고 이들 기법을 이용한 발파진동, 비석, 암석 파쇄도, 폭풍압, 여굴 예측 기법에 대한 연구들을 조사, 정리하였다. 향후 인공지능 기법을 활용하여 보다 효율적이고 안전한 발파설계, 발파 효율 향상과 발파에 의한 주변 환경에 미치는 영향을 최소화하기 위하기 위한 발전적인 접근 방향에 대한 논의에 활용할 수 있는 기초 자료를 제공하고자 한다.

Keywords

Acknowledgement

이 논문은 한국연구재단의 이공분야기초연구사업(NRF-2019R1D1A1060884)의 지원으로 수행되었습니다.

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