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针对井下行走机器人提出了一种高熵控制系统解决方案。在拟定实验环境下加入大数据云计算处理,通过多对传感器检测的红外环境信息,追踪目标物体,达到无轨道履带式行走的目标。经Matalab仿真实验与实体测试,优化了行走效果,进一步为后续矿井内无人载物运行系统的开发打下坚实的基础。
Aiming at the downhole walking robot, a solution of high entropy control system is proposed. In the experimental environment to join the big data cloud computing, through the detection of multiple pairs of infrared environment information sensors to track the target object, to achieve the goal of trackless crawler. After Matalab simulation experiment and entity test, the walking effect is optimized, which further lays a solid foundation for the development of unmanned system in follow-up mine.