基于卡尔曼滤波的多温度传感器数据融合系统

Data Fusion System of Multi Temperature Sensor Based on Kalman Filter

设计了一种基于卡尔曼滤波的多温度传感器数据融合系统,其中采用多个温度18B20单总线数字传感器对同一点温度实施监测,对采样结果采用卡尔曼滤波数据融合算法计算得到温度估计值。实测数据仿真分析表明,卡尔曼滤波数据融合算法具有较高的计算精度和容错性,能够明显改善温度估计精度,显著提高测温系统的可信度,并具有实时融合的动态性能。

The design based on kalman filter constructed a multiple temperature sensor data fusion system,it achieved the temperature monitor of the same point ti adopt many temperature 18B20 single bus digital sensors,and the kalman filter data fusion algorithm was used to calculate estimated temperature value for results.The measured data simulation analysis shows that kalman filter data fusion algorithm has high precision and fault tolerance,it can obviously improve the estimated precision of temperature,significantly improve the reliability of temperature measure system,and have real-time and dynamic performance of fusion.