基于纳米多晶硅薄膜压力传感器胎压监测系统
The TPMS Based on the Nano-Polysilicon Thin Film Pressure Sensor
DOI: 10.12677/JSTA.2015.33007, PDF, HTML, XML, 下载: 2,904  浏览: 8,874  国家科技经费支持
作者: 赵小松, 于 洋, 陈 静, 赵晓锋:黑龙江大学,黑龙江省普通高等学校电子工程重点实验室,黑龙江 哈尔滨
关键词: 纳米多晶硅薄膜压力传感器胎压监测MEMS技术TPMSNano-Polysilicon Thin Film Pressure Sensor Tire Pressure Monitoring MEMS Technology TPMS
摘要: 本文给出纳米多晶硅薄膜压力传感器,由方形硅膜和四个纳米多晶硅薄膜电阻构成惠斯通电桥结构组成,采用MEMS技术在<100>硅片实现传感器芯片制作。当工作电压VDD = 5.0 V时,传感器灵敏度为0.15 mV/kPa,准确度为0.39 %F.S.,可实现轮胎胎压测量。根据胎压传感器特性和NRF24L01无线通信技术,实现胎压监测系统设计。通过无线模块实现实时数据传输,该系统可实现对轮胎胎压的实时监测,保证车辆安全。
Abstract: This paper presents the nano-polysilicon thin film pressure sensor, which consists of four nano- polysilicon thin film resistances fabricated on the silicon membrane of C-type silicon cup, and the resistances make up the Wheatstone bridge structure. The chip of sensor is fabricated by micro electromechanical system (MEMS) technology on a <100> silicon wafer. When supply voltage VDD = 5.0 V, the sensitivity is 0.15 mV/kPa, and the accuracy is 0.39 %F.S.; tire pressure measurement can be realized. According to the characteristics of tire pressure sensors and the NRF24L01 wireless communication technology, the Tire Pressure Monitoring System (TPMS) is designed. By transmitting data timely through the wireless module, this system can realize the wireless and real-time monitoring, so as to ensure the safety of the vehicle.
文章引用:赵小松, 于洋, 陈静, 赵晓锋. 基于纳米多晶硅薄膜压力传感器胎压监测系统[J]. 传感器技术与应用, 2015, 3(3): 54-61. http://dx.doi.org/10.12677/JSTA.2015.33007

参考文献

[1] 赵晓锋, 温殿忠 (2008) PECVD法制备纳米晶粒多晶硅薄膜. 功能材料与器件学报, 1, 139-142.
[2] 赵晓锋, 温殿忠 (2008) 纳米多晶硅薄膜压力传感器制作及特性. 半导体学报, 10, 2038-2039.
[3] 谢医华 (2004) 多晶硅压力传感器的开发技术研究. 硕士论文, 暨南大学, 广州, 1-26.
[4] 徐沙林 (2010) 基于Modbus协议的医用气体压力集散监测系统开发. 硕士论文, 南京理工大学, 南京, 1-4.
[5] 刘友奇, 宋益东 (2007) ICL7660芯片在KJF2000监控系统中的应用. 煤矿安全, 4, 48-50.
[6] 华成英, 童诗白 (2006) 模拟电子技术基础. 高等教育出版社, 北京, 330-333.
[7] 盛庆华, 袁路花, 闫云鹏, 等 (2013) 基于24位AD自然电位法海底探矿系统研究. 传感器与微系统, 2, 36-38.
[8] Cuomo, F., Abbagnale, A. and Cipollone, E. (2013) Cross-layer network formation for energy-efficient IEEE 802.15.4/ ZigBee Wireless Sensor Networks. Ad Hoc Networks, 11, 672-686.
http://dx.doi.org/10.1016/j.adhoc.2011.11.006
[9] Cuevas-Martinez, J.C., Canada-Bago, J., Fernandez-Prieto, J.A., et al. (2013) Knowledge-based duty cycle estimation in wireless sensor networks: Application for sound pressure monitoring. Applied Soft Computing, 13, 967-980.
http://dx.doi.org/10.1016/j.asoc.2012.10.005
[10] 王汉中 (2008) 基于ZigBee收发器CC2430的分布式温度测量系统的设计. 硕士论文, 华中师范大学, 武汉, 3- 10.
[11] 孙丽晶 (2010) 基于ICC AVR和Proteus软件平台的AVR单片机设计开发流程. 吉林师范大学学报(自然科学版), 1, 103-105.
[12] 王波 (2011) 基于AVR单片机的石灰乳配制及添加智能控制系统的研究. 硕士论文, 昆明理工大学, 昆明, 1-7.