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机构地区:[1]河北工业大学信息工程学院微电子所 [2]河北工业大学
出 处:《传感器世界》2008年第1期36-39,48,共5页Sensor World
摘 要:介绍了一种多路智能压力传感器数据采集电路的设计方法,采用BP神经网络算法对其实现温度的软件补偿。该算法有效改善了传感器的非线性及温度变化所引起的输出的误差,提高了测量精确性和可靠性。通过无线收发模块PTR2000实现了数据的无线传输。该系统可以在一些特殊的场所实现信号的采集、处理和发送、接收,并具有成本低、可靠性好、实用性强等优点。A design method of the data acquisition circuit for smart pressure sensor is introduced, which completes the temperature compensation by sottware based on BP neural network. The non-linearity errors and output errors caused by temperature variation are decreased and the measuring accuracy and reliability are increased effectively The translation of wireless data is completed by the wireless sendreceive IC PTR2000. This system is low in cost and nice in reliability with a broad wide practicability, and can be used for the signal .collection, processing, and transmitting in some special situations.
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