Optimization Control and Application for Middle-Deep Bore Drilling-Blasting Safe System Based on Parallel Genetic Algorithms and Adaptive Network Fuzzy Inference System
Middle deep bore drilling-blasting safe system is not only involve to safe risk and blasting effect, but also it is an economic problem. This paper uses safe distance of blasting flying rock as main objective function of safe risk, with the proportion of bediock-mass rate and mine quantity of unit meter being respectively as main subject to condition function of blasting quality and drill-blasting economy, it is set up respectively middle deep bore drilling blasting system model involve to safe, quality and economy with adaptive network fuzzy inference system( ANFIS), then, technical economic parameter optimization problem of drilling blasting system is to be resolved by parallel genetic algorithm(PGA) subject to meet with quality and economy respectively. It is not only to resolve effectively optimization control problem of blasting safe risk, but also it provides theory innovation for optimizing drilling-blasting parameter, anymore, it provides importance reference value further for technical economy optimization of large cubic meter of earth and stone blasting engineering.
middle-deep bore drilling and blasting safe system adaptive network-based fuzzy inference system parallel genetic algorithms
DAI Jianyong DING Dexin YANG Shijiao TAO Ganqiang
School of Nuclear Resource and Security Engineering, Nanhua University, Hengyang, Hunan, China
国际会议
The Asian-Pacific Symposium on Blasting Techniques(亚洲太平洋地区爆破技术研讨会)
昆明
英文
587-590
2007-05-08（万方平台首次上网日期，不代表论文的发表时间）