摘要
为了能在矿井中获得矿井环境信息,研究和设计了一种适合矿井环境信息的机器人传感器和避障系统,使智能机器人能够完成对矿井信息的采集,从而及时地获得井下环境信息做出预警,减少不必要的损失。避障系统主要由STM32和电机驱动模块组成,通过一种基于BP神经网络和模糊控制逻辑的先进导航技术,实现矿井环境中智能自主的避障运动。系统信息传输采用GPRS无线模块进行数据传递。
In order to get mine environment information in mines.Researching and designing a suitable for mine environment information of robot and obstacle avoidance system.Make intelligent robot can complete the mine information acquisition,so as to timely acquire downhole environment information to make early warning,and reduce unnecessary losses.Obstacle avoidance system is mainly composed of STM32 and motor drive module,through a kind of based on BP neural network and fuzzy control logic of the advanced navigation technology.Realizing intelligent autonomous obstacle avoidance of mine environment movement.Information transmission system use the GPRS wireless module for data transmission.
出处
《煤矿机械》
北大核心
2014年第1期19-21,共3页
Coal Mine Machinery
