提出一种软硬件结合的温度测量冗余设计方法。将小卫星的温度测量按组划分,相邻的几个传感器设置为一组,同组的传感器用Bayes数据融合的方法得到对每个温度点的温度估计,并以此为依据去判定每个温度测量点的温度测量是否有效,若判定为测量数据无效则启用备用传感器。该方法用软件实现了对测量数据是否有效的判定,再用有限的硬件备份提供冗余设计,使得备份传感器的数量大大减少。
Redundant design is an important method to increase reliability of small satellite. Traditional redundant design methods in small satellite design use spare hardware, therefore greatly increases the power consumption, volume and weight of the satellite. A redundant design method which combines software and hardware is presented in this paper. In this method sensors are divided into several groups. Multi sensor data fusion algorithm based on Bayes rule is used to give the estimate value for each sensor in a group. The validity of the estimate value is judged. If the estimate is invalid, the spare sensor is enabled. This redundant design method uses software to judge the validity of the result of temperature measurement and hardware to provide spare sensor. Therefore the number of spare sensors can be reduced significantly.