• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Symposium on Mine Safety Science and Engineering >Study on the improvement of the microseismic network configuration for San He-jian coal mine
【24h】

Study on the improvement of the microseismic network configuration for San He-jian coal mine

机译：三济煤矿微震网络配置改进研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Two seismically active regions and also the occurrence probabilities of strong mining-induced tremors of them are determined by the comprehensive index method to improve the monitoring efficiency of seismological observation system in San He-jian coal mine. The set consisted of 91 candidate points is formed based on the general choosing candidate points of geophone stations. To this kind of large-scale network configuration of combinatorial optimization problem in coal mine, natural number coding method is used to construct the individual genes expression of microseismic network configuration plan in genetic algorithm and the individual fitness function is built to evaluate the performance of configuration plan based on the theory of D-optimal design. Crossover and mutation operators are mixed and improved to prevent the premature convergence of algorithm thus increase its performance. The application results from situation show that: (i) the optimum solution can be quickly solved by the genetic algorithm;(ii) the improved network configuration is better than the currently used one, which is proved by using numerical emulation technique, because it significantly decrease the hypocenter location errors in the key monitoring areas, and the maximum error is reduced by 230 m.
机译：两种地震活动区域以及它们的强大采矿诱导震颤的发生概率是通过综合指标方法来提高圣何煤矿地震检测系统监测效率的思考。基于地震动站的一般选择候选点，形成由91个候选点组成的组。对于这种煤矿组合优化问题的这种大规模网络配置，使用自然数编码方法来构建遗传算法中微震网络配置计划的个体基因表达，而是建立各个健身功能，以评估配置的性能基于D-最优设计理论的计划。混合交叉和突变算子以防止算法过早收敛，从而提高其性能。情况表明：（i）可以通过遗传算法快速解决最佳解决方案;（ii）改进的网络配置优于当前使用的网络配置，这是通过使用数值仿真技术来证明的，因为它显着减少密钥监视区域中的低速度位置误差，最大误差减少230米。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号