基于人工神经网络的智能化煤矿监测系统的路径规划  

Path planning for an intelligent coal mine monitoring system based on artificial neural network

作　　者：张耀锋[1] 陈宝玲[1] 刘沂[1] 唐彦卿[2] 

机构地区：[1]天津冶金职业技术学院电气工程系,天津300400 [2]天津工业大学,天津300160

出　　处：《传感器世界》2016年第10期31-33,共3页Sensor World

摘　　要：给出了一种煤矿监测、数据采集用智能化监测系统的设计方案,监测系统在运行的过程中可实现数据采集、循迹、避障、测距等功能。监测系统的路径规划采用了一种人工神经网络算法,该算法利用神经网络模型描述监测系统工作空间的动态环境信息,并建立起机器人动态避障与网络输出间的关系。仿真结果表明该算法具有较好的环境适应性和实时性,所用的动态路径规划方法是正确和有效的。An intelligent system for detection and data acquisition in coal mine is designed in this paper, which can achieve data acquisition, automatic tracking, obstacle avoidance and distance measurement. The path planning method of the system adopts an artificial neural network algorithm, which describes the dynamic environment information in system working space by the neural network model, and establish the relationship between dynamic obstacle avoidance of robot and the output of the model. Simulation results show that the system has high adaptability to dynamic environments and high real-time performance, and the proposed dynamic path planning method is correct and efficient.

关 键 词：人工神经网络 太阳能 智能化 监测系统 路径规划 

分 类 号：TD67[矿业工程—矿山机电] TP274[自动化与计算机技术—检测技术与自动化装置]