基于BP网络的智能压力传感器系统研究与设计  

The Research and Design of Intelligent Sensor System Based on BP Network

作　　者：崔静雅[1] 吕惠民[1] 程赛[1] 

机构地区：[1]西安理工大学应用物理系,西安710048

出　　处：《传感技术学报》2011年第10期1426-1430,共5页Chinese Journal of Sensors and Actuators

基　　金：陕西省教育厅基金项目(09JK636)

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-Ⅱoperating 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.

关 键 词：压力传感器 BP神经网络 μC/OS-Ⅱ STM32F101C8 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]