基于BP网络的智能压力传感器系统研究与设计

摘要

将STM32F101C8微处理器与μC/OS-Ⅱ操作系统相结合,设计出了一种高精度智能传感器系统,给出了相应的硬件结构和软件设计.利用BP神经网络对压力和温度两个目标参量进行数据融合处理,减小了两者相互交叉干扰敏感度.实测结果显示该传感器能满足多任务下的实时性要求,并具有更加精确、稳定、可靠的性能.%An intelligent high precision sensor was designed by combining STM32F101C8 microprocessor with μC/ OS-Ⅱ operating system, meanwhile, the corresponding hardware structure and software design were given. By using BP neural network, two target parameters, pressure and temperature, were made do the data combination to reduce the sensitivity of cross-interference. The results show that the sensor can meet the real-time demand under multitask, and get the performance more accurate, stable and reliable.