摘要
Impact ground pressure events occur frequently in coal mining processes,significantly affecting the personal safety of construction workers.Real-time microseismic monitoring of coal rock body rupture information can provide early warnings,and the seismic source location method is an essential indicator for evaluating a microseismic monitoring system.This paper proposes a nonlinear hybrid optimal particle swarm optimisation(PSO)microseismic positioning method based on this technique.The method first improves the PSO algorithm by using the global search performance of this method to quickly find a feasible solution and provide a better initial solution for the subsequent solution of the nonlinear optimal microseismic positioning method.This approach effectively prevents the problem of the microseismic positioning method falling into a local optimum because of an over-reliance on the initial value.In addition,the nonlinear optimal microseismic positioning method further narrows the localisation error based on the PSO algorithm.A simulation test demonstrates that the new method has a good positioning effect,and engineering application examples also show that the proposed method has high accuracy and strong positioning stability.The new method is better than the separate positioning method,both overall and in three directions,making it more suitable for solving the microseismic positioning problem.
在实际煤矿开采过程中,冲击地压事件频繁出现,极大地影响着施工人员的人身安全,如果通过微震监测技术实时监测煤岩体的破裂信息,就可以达到微震预警的目的。其中,震源定位方法是评价一套微震监测系统的重要指标。基于这项技术,通过建立非线性定位模型,本文提出一种PSO微震非线性混合优化定位方法。该方法首先通过改进PSO算法,利用此方法的全局搜索性能,使其能够在短时间内快速搜索到一个可行解,为微震非线性优化定位方法的进一步求解提供较优的初始解,有效地避免了微震非线性优化定位方法因过度依赖于初始值而陷入局部最优的问题,同时微震非线性优化定位方法在PSO算法的基础上,又进一步缩小了定位误差。模拟试验证明了新方法具有良好的定位效果,而工程应用实例也表明了此方法具有高精度性以及较强的定位稳定性,形成的新方法无论是在总体还是三个方向上的误差都要优于拆分开的单独定位方法,更加适合用于解决微震定位问题。
基金
supported by the Natural Science Foundation of Henan Province,China.(No,222300420596).
