一种智能传感器系统的设计

随着传感器的广泛使用和网络技术的发展,智能传感器系统成为传感器发展的一种趋势。参考IEEE 1451.2标准,设计了基于STM32F103的智能传感器系统,它包括智能传感器模块、网络适配器模块、上位机等硬件及相应的运行软件。智能传感器模块采用IIC(inter-integrated circuit,内部集成电路总线)与网络适配器模块通信;网络适配器模块采用Wi-Fi与上位机通信,并作为智能传感器模块和上位机之间通信的桥梁。实验结果表明:智能传感器模块内部能够存储模块自身与传感器的信息,并实现传感器的即插即用;网络适配器模块能够实现智能传感器模块的即插即用;上位机能够实现指令发送和结果接收与管理,并实时监测其与网络适配器模块的连接状态。该智能传感器系统可实现无线远程监测,摆脱了线缆的束缚,能够适应更多的监测场景;能够读取传感器的信息,从而对传感器进行识别,并兼容不同类型的传感器;能够实现传感器的自校准功能,使测量结果更加准确。研究结果可以为大型智能传感器系统的研制和应用提供参考。

Design of an intelligent sensor system

With the widely use of the sensor and the development of network techniques, Intelligent sensor system becomes a growing trend of sensor. According to the IEEE 1451.2 standard, an intelligent sensor system based on STM32F103 was designed, including an intelligent sensor module, a network adapter module, an upper computer and their corresponding running softwares. The intelligent sensor module used IIC to communicate with the network adapter module while the network adapter module used Wi-Fi to communicate with the upper computer and acted as the communication bridge between the intelligent sensor module and the upper computer. Experimental results showed that the intelligent sensor module could store the information of itself and the sensor, and realize the plug-and-play capability of the sensor. Besides, the network adapter module could make the intelligent sensor module achieve its plug-and-play capability. Moreover, the upper computer could realize instruction sending, result receiving and managing, as well as achieve real-time monitoring of the connection status between itself and the network adapter module. The intelligent sensor system realized wireless remote monitoring, getting rid of the shackles of cables, so it could adapt to more monitoring scenarios. It could read the information of the sensor itself, so as to identify the sensor and compatible with different types of sensors. It could also realize the self-calibration function of the sensor, so that the measurement results could be more accurate. The research results can provide reference for the development and application of large intelligent sensor system.