一种矿运卡车故障诊断系统的研究

目前针对矿运卡车的故障诊断方法存在局限性,当原始信息不完整时,诊断准确度低。本文提出了一种采用神经网络进行诊断分析,并采用聚类分析方法验证诊断分析结果的诊断方法。将此方法应用到矿运卡车的故障诊断中,通过状态检测、诊断分析、结果处理、结果验证这四个部分,构成了一个具有自校正、自学习能力的系统。对发动机系统进行仿真的结果表明聚类分析能有效地对原始样本进行校正,提高诊断能力。

基于计算机视觉的金矿运矿卡车最优路径自适应规划方法

由于传统路径规划方法中对全局环境未知,导致规划结果易陷入局部最优解,提出基于计算机视觉的金矿运矿卡车最优路径自适应规划方法。基于计算机视觉感知金矿运矿卡车行驶环境,采用蚁群算法遍历行驶环境中节点,寻找到卡车最优路径,完成金矿运矿卡车最优路径自适应规划。试验结果表明,该方法在进行金矿运矿卡车最优路径规划时,可以得到运距最短的规划结果,具有可行性。

斜坡道溜车事故诸因素分析

着重对金川公司井下铲运机（或矿运卡车）溜车事故的诸多因素进行分析，并提出了相应的防范措施。

DISPATCHING REAL-TIME MODEL OF COMPUTER-CONTROLLED TRUCK

In order to recover ore as much as possible, a computer-controlled truck real-time dispatching model is conducted under the conditions of Qidashan lron Mine. It can not only acquire the optimization of shovel and truck operation, but also satisfy requirements of blending ores.The simulation results indicate the effectiveness of the model developed.

THE DEVELOPMENT AND EXPERIMENT OF A COMPUTER-CONTROLLED TRUCK DISPATCHING SYSTEM IN SURFACE MINE

The development and experiment of a computer-controlled truck dispatching system in Surface mine is presented in this paper.It includes the system overall design, the system working mode design, the selection of the best truck travel path, the development of truck fleet programming, the development of database management system, and the development of truck real time dispatching, etc. The successful experiment is carried out in Huolinhe surface mine, and the satisfied results are obtained. Application of this system can improve the system production and the mine management. This system is the first one in our country at present.