基于改进遗传算法的露天采石场失稳边坡临滑预警方法

EarlyWarning Method of Unstable Slope of Open-pit Quarry Based on Improved Genetic Algorithm

针对露天采石场失稳因素丢失,失稳边坡临滑预警输出量误差偏大的问题,提出一种基于改进遗传算法的露天采石场失稳边坡临滑预警方法。结合露天采石场环境特征,通过支持向量机对遗传算法及其参量进行优化,利用改进后的遗传算法对失稳条件进行判定、评价、输出,完成露天采石场失稳边坡临滑预警。实验结果表明,在提升失稳边坡临滑预警应用方面,该方法具有较好地提升作用,且方法整体稳定性与控制效果均能达到实际应用的要求。

Aiming at the problem of lack of instability factors and the large error in the output of pre-warning for unstable slope,a critical-sliding early warning method of unstable slope of open-pit quarry based on improved genetic algorithm is proposed.Therefore,the genetic algorithm and its parameters are optimized by the support vector machine combined with the environmental characteristics of the open-pit quarry.And the improved genetic algorithm is used to judge,evaluate and output the instability conditions,so as to complete the early warning of the unstable slope of the open-pit quarry.The experimental results show that this method has a good lifting effect in improving the early warning application of unstable slope,and the overall stability and control effect of the method can meet the requirements of practical application.