RESEARCH ON DETECTION SYSTEM FOR COAL MINE DETECTION ROBOT BASED ON THE TECHNOLOGY OF INFORMATION FUSION
China have a large of coal resources, while the accidents due to gas explosions, gushing water, fire and other factors often happened every year. This paper presents a system of robot’s sensors and obstacle avoidance which suitable for detecting mine environmental information. The sensor system that composed of gas sensors, temperature sensors, pressure sensors and obstacle avoidance sensors, enable the robot to finish the detection of mine information successfully and play an important role in taking rescue work favorably. The system of obstacle avoidance is mainly composed of industrial computer and its board. The robot can realize the intelligent and autonomous obstacles-avoiding movement in mine by an advanced navigation technology of fuzzy neural network based on T-S model. The simulation experiments show that this system of sensors can achieve security obstacle avoidance, and detect the information in mine accurately and timely which can support accurate foundation for rescue work.
Coal mine detection robot Sensor Information fusion Fuzzy neural network
NIU Zhigang FU Zhichao
College of Mechanical Engineering, Taiyuan University of Technology 79 West Yingze Street, 030024 Taiyuan, China
国际会议
International Technology and Innovation Conference 2009(2009技术与创新国际学术会议)
西安
英文
1-5
2009-10-12（万方平台首次上网日期，不代表论文的发表时间）