基于数据挖掘的准能露天煤矿矿用运输卡车工况监控系统

Mine-used Truck Working Condition Monitoring System Based on Data Mining for Zhungeer Energy Open-pit Mine

设计了一个集露天矿卡车运行状态、轮胎状况和油耗检测为一体的,并且为卡车驾驶员和管理人员提供实时的显示信息,以及具有通过数据挖掘方式确定车辆运行安全性功能的露天矿矿用运输卡车工况监控系统;并基于卡车工况数据特性,设计了一种基于循环神经网络的卡车轮胎安全数据挖掘模型。通过试验对比验证,该模型具有较高的准确性和较强的实用性。

This paper designs an open-pit mine truck working condition monitoring system,which integrates truck running status,tire status and fuel consumption detection,provides real-time display information for truck drivers and managers,and has the function of determining the safety of trucks through data mining.Based on the characteristics of truck working condition data,a truck tire safety data mining model based on cyclic neural network is designed.The experimental results show that the model has high accuracy and practicability.