摘要
以黑白路况为环境对象,提出一种高性能的光电导航智能小车,模拟智能机器人避障和灭火功能。采用32位K60芯片作为核心处理器,通过读取障碍探测传感器状态,判断行驶是否有障碍物并做出相应的避让;通过火焰探测传感器寻找火源点,进而驱动灭火装置进行灭火。在行驶过程中通过光电传感器采集道路信息,进行数据分析后识别当前路况,从而调整行进速度和行驶方向,使智能小车能在最短的时间内到达火源点进行灭火。
In view of the large number of property damage and even casualties caused by fire, a high performance photoelectric navigation intelligent vehicle is proposed to simulate the environment of black and white road. The 32 bit K60 chip as the core processor, running to determine whether there are obstacles and make the corresponding avoidance by reading obstacle detection sensor; flame detection by sensors to find the source of fire, and the fire extinguishing device driver. The photoelectric sensor for collecting road information in the running process, data analysis to identify the current road conditions, and then adjust the speed and direction of travel, the smart car can reach the ignition point in the shortest possible time to put out the fire.
出处
《自动化与信息工程》
2017年第4期21-25,共5页
Automation & Information Engineering
基金
中国博士后科学基金(2016M592242)
关键词
自动避障
图像识别
火焰探测
智能灭火
Automatic Obstacle Avoidance
Image Recognition
Flame Detection
Intelligent Fire Extinguishing
