Study on Establishing Open Pit Rock Blasting Optimum Model by means of Image Processing Technology
Blasting optimum model is a target of mine operator and mining engineer always pursuing, and seldom is studied because of lack of effectual means of calculating the size distribution of rock fragments in the muck piles ago. Now, the problem can be settled by means of image processing technology. In one open pit, 12 tests of different blasting parameters are carried out, tilting photographying method are used to take photos of muck piles. The size distribution of 12 muck piles is calculated by means of image processing technology, the rock blasting fragmentation control model is established. Basing on relation between excavator efficiency and the size distribution of 12 muck piles, the relation between loading cost and the size distribution of muck piles is established. The relation between camion conveyance cost and the size distribution of muck piles is established by analogous theory in laboratory. Finally, the open pit rock blasting optimum model is established, the blasting parameters calculated from the model are used to instruct blasting operating, some benefits are acquired. The blasting optimum model is very helpful to mining engineer and blasting engineer.
blasting optimization image processing mathematical model size distribution
FU Hong-xian ZHANG You-di
Research Center of tunneling and Underground Engineering, Beijing Jiaotong University, Beijing 10004 College of Mineral and Energy Resources, CUMT, Xuzhou, Jiangsu 221008,China
国际会议
The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)
河南焦作
英文
771-777
2007-04-17（万方平台首次上网日期，不代表论文的发表时间）