基于卡尔曼-模糊算法的仿生鱼舱体监测系统

Bionic Fish Cabin Monitoring System Based on Kalman-fuzzy Algorithm

为了提高仿生鱼安全防护预警的性能,结合多传感器融合技术,设计一种仿生鱼舱内环境监测系统,对采集的温度、湿度、压强进行数据处理和研究.针对舱内的温湿度和压强,提出了一种考虑扩展卡尔曼滤波和模糊综合评价的二级式集-集式融合结构算法,建立数据融合过程中的数学模型,从而有效对舱内环境因素做出合理的评价.通过北斗传输信号并结合LabVIEW构建综合监控平台,实现仿生鱼舱内环境监测,对维护仿生鱼正常海底作业有着重要意义.

In order to improve the performance of the safety protection and early warning of the bionic fish,combined with the multi-sensor fusion technology,a bionic fish cabin environment monitoring system is designed to process and study the temperature,humidity and pressure collected.Aiming at the temperature,humidity and pressure in the cabin,a two-stage set-set fusion structure algorithm considering extended Kalman filtering and fuzzy comprehensive evaluation is proposed,and a mathematical model in the data fusion process is established,so as to effectively evaluate the environmental factors of the cabin.Through the Transmission of Beidou signals and the construction of a comprehensive monitoring platform combined with LabVIEW,the environmental monitoring in the bionic fish cabin is of great significance to maintaining the normal seabed operation of the bionic fish.