Abstract ▼

IV. Results of Research
Daesung MDI Danyang limestone mine was selected as a test bed for field demonstration of microseismic monitoring system. The test bed is a operating mine that is being mined up to seven levels with a section standard of 9 m x 6 m, divided into A and B gangs. The built micr

IV. Results of Research
Daesung MDI Danyang limestone mine was selected as a test bed for field demonstration of microseismic monitoring system. The test bed is a operating mine that is being mined up to seven levels with a section standard of 9 m x 6 m, divided into A and B gangs. The built microseismic monitoring system is a 12-channel, 50 -kHz sampling system installed in the A and B gangs, and can be interconnected using ethernet communication. The installed microseismic monitoring system consists of 18 channels, and data have been acquired since August 2018 to accumulate microseismic signal data related to mining activities (blasting, drilling, scaling, etc.). Accumulated data were classified into blasting, drilling, scaling, electric noise, and microseismiL signals related to rockmass damage through mining activities and mutual comparison.

Based on our domestic and foreign risk management practices and our experience in measuring microseismic data including the test bed, we have used daily microseismic occurrence trend graphs, the amount of microseismic during work/non-working periods, the number of occurrence and generated energy over a certain period for practical risk management standards. As an improved safety standard, we proposed a risk management standard considering the location and size of microseismic using multiple sensors and systems.

To make a plan for the development of a new filtering technique, we review previous studies of signal classification using machine learning. Optimal features for signal classification are selected by analyzing the data acquired from the target mine.
The Random Forest model is used to implement the risky signal(microseismic signals related to rockmass damage) filtering module, and an optimal model can be constructed by the hyper parameter tuning. A significant portion of the total signals is used to train and test the model. Results are analyzed using confusion matrices, and the most important feature is identified by feature importance analysis. Finally, the data obtained after the period for model training are used to simulate the actual monitoring process and verily the developed filtering technique.

To select proper communication systems for domestic underground mines and demonstrate on-site application, Meta data related to safety management applied 900 MHz conumulication systems. which are highly reliable in the operation of the conummication system, and Raw data for precise analysis of microsdsmic signals applied to optical cables capable of broadband and 2.4 GHz wireless communication systems. RUDP-based communication modules were implemented for stable transmission of Meta data, and microseismic Meda data and Raw data were able to be reliably communicated to the servers installed on the surface.

The developed 3D visualized integrated monitoring program uses MSM client programs operated by the microseismic monitoring system in a underground mine and MSM server programs operated by the office server to send measureed microseismic data in the underground to the surface office. In the office, it is possible to manage and set up microseismic systems, check and analyze data using the Dashboard progrmn, Manager, and Dataview programs that enable 3D visualized monitoring at all times.

(출처 : SUMMARY 10p)

목차 Contents

• 표지 ... 1
• 제 출 문 ... 3
• 최종보고서 요약서 ... 5
• 요 약 문 ... 6
• SUMMARY ... 9
• CONTENTS ... 13
• 목차 ... 15
• 제1장 연구개발과제의 개요 ... 17
• 제1절 연구개발의 목적 및 필요성 ... 17
• 1. 연구개발의 목적 ... 17
• 2. 연구개발의 필요성 ... 17
• 제2절 연구개발 범위 ... 18
• 제2장 국내외 기술개발 현황 ... 21
• 제1절 국외 현황 ... 21
• 제2절 국내 현황 ... 24
• 제3장 연구개발수행 내용 및 결과 ... 26
• 제1절 미소진동 모니터링 실증운용 ... 26
• 1. 미소진동 모니터링 시스템 현장설치와 운용 ... 26
• 2. 광산활동 관련 DB 구축 ... 37
• 제2절 구조안정성 위험관리 가이드라인(안) 제시 ... 40
• 1. 발파에 의한 미소진동 관련 국내외 기준 ... 40
• 2. 구조안정성과 연계된 미소진동 위험관리 기준 국내외 사례 ... 44
• 3. 국내 지하광산의 구조안정성 자료와 실용적 위험관리(안) ... 49
• 제3절 미소진동 위험신호 선별 필터링 기법 개발 ... 51
• 1. 취득 자료 관리와 신호특성화 속성 선정 ... 51
• 2. 기계학습을 사용한 위험 신호 필터링 모듈 개발 ... 61
• 3. 위험 신호 선별 필터링 모듈의 현장자료 적용 ... 66
• 제4절 갱내통신체계 현장적용을 통한 실증 ... 68
• 1. 지하광산의 통신 및 미소진동 모니터링 체계구조 ... 68
• 2. 지하광산의 적정 통신체계 선정 및 시스템 설계 ... 68
• 3. 미소진동 자료 전송을 위한 통신 프로그램 구현 ... 71
• 4. 현장 적용 및 운용 ... 73
• 제5절 3D 시각화 모니터링 통합프로그램 개발 ... 77
• 1. 미소진동 모니터링 통합 프로그램 시스템 구조 설계 ... 77
• 2. 미소진동 통합 모니터링을 위한 사용자 운영 프로그램 구현 ... 80
• 3. 미소진동 통합 모니터링 프로그램의 현장 적용 ... 86
• 제4장 목표달성도 및 관련분야에의 기여도 ... 89
• 제1절 목표달성도 ... 89
• 제2절 관련분야에의 기여도 ... 89
• 제5장 연구개발결과의 활용계획 ... 92
• 제1절 미소진동 모니터링 체계구축 사업화 방안 ... 93
• 제2절 지하광산 통신 체계구축 사업화 방안 ... 94
• 제3절 미소진동 모니터링 및 통신 체계 통합 구축 사업화 방안 ... 95
• 제6장 연구개발과정에서 수집한 해외과학기술정보 ... 96
• 제7장 참고문헌 ... 98
• 끝페이지 ... 101