摘要
针对现有山体滑坡预警系统中有线传输、人工播报等弊端,采用MPU6050三轴加速度传感器设计一种低功耗、高精度的山体滑坡远程监控系统.系统通过Zig Bee无线传感器网络采集数据,并利用卡尔曼滤波算法修正测量中的误差以提高数据精度.通过物理原型测试,系统运行顺畅,符合设计要求.
In order to overcome the disadvantages such as wired transmission and manual notification in conventional pre-warning systems for mountain landslide, this paper proposes a low-power and high-accuracy remote monitoring system for mountain landslide, which is designed with a three-axis acceleration sensor MPU6050. The system uses Zig Bee wireless network to collect sensor data and utilizes Kalman filtering algorithm to reduce deviation in the result to improve higher accuracy. After being tested with physical prototype, the system runs stably and meets the design requirements well.
出处
《计算机系统应用》
2016年第12期83-86,共4页
Computer Systems & Applications
基金
惠州市科技计划(2015ZX023)
惠州学院自然科学项目(hzuxl201417)
