In coal mines the environment is complex, crowded with personnel and equipment, as well as lack of colors. The safety in production is influenced by visual spatial perception is whether or not accurate. The visual spatial perception precision plays a significant even crucial role in positioning. By simulating the environment in coal mines, the positioning experiment about participants’ visual spatial perception performance of different target objects in two models—from far to near and from near to far has been carried out. Experimental results showed that visual spatial perception distance was significantly shorter than target range, that visual spatial perception in deep pink was the poorest. In addition, the H has become appreciable and regular with visual spatial perception changing. The experimental results provided references for setting warning marks, safe distances and choosing colors for infrastructure in coal mines.
in coal minesvisual spatial perceptionsimulationsHISfrequency of participants’ approval
저자
Ren Dawei [ Department of Industrial Engineering, College of Mining and Safety Engineering Shandong University of Science and Technology, Tsingtao, China ]
Liu Yang [ Department of Industrial Engineering, College of Mining and Safety Engineering Shandong University of Science and Technology, Tsingtao, China ]
Chen Litao [ Department of Industrial Engineering, College of Mining and Safety Engineering Shandong University of Science and Technology, Tsingtao, China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.11