期刊文献+

油气田监测高性能微传感器及数字化系统 被引量:4

The high-performance micro sensor and digital system for monitoring of the oil and gas field
在线阅读 下载PDF
导出
摘要 针对油气田特殊环境要求,介绍了一种高温高压传感器芯片的设计及加工制造方法,并研发了相关的高性能数字变送系统。所设计的高温高压传感器芯片解决了传统压阻式传感器在高温高压环境下的热稳定性问题,通过数字补偿技术进一步提升了其系统的线性度与精度,并针对油气田监测环境扩展了其相关外围设备。同时,为了适应油气田管监测理要求,设计了相关无线传感网络,以确保其工业生产的高效运行和有效控制。通过具体实验测试数据,验证了该油气田监测高性能微传感器及数字化系统的高精度及高可靠性,该系统的精度达到0.2%FS及以上,达到世界先进水平,对国内的石化工业发展有着非常重要的意义。 In order to suit for the special requirements of the oil and gas fields, in this paper, the design and fabrication of a high-temperature and high-pressure sensor chip was described. And the related high- performance digital transmitter system was produced. The textual sensor chip was designed to accomplish the thermostability in the high temperature environment which the traditional sensor can' t suit for. The linearity and accuracy of the system were promoted by the digital compensation technology. And the associated equipment were integrated into the system. Moreover, in order to meet the requirements of the oil and gas fields inspect managements, the wireless sensor network were designed, which can guarantee the high-efficiency operation and control of the industrial production. Through the experiments, the high-accuracy and reliable of the high- performance micro sensor and digital transmitter system were credible. The accuracy of it is above 0.2 % FS. The system has reached the world class and was especially significant for the domestic petrochemical industry.
出处 《中国工程科学》 北大核心 2013年第1期99-105,共7页 Strategic Study of CAE
基金 国家高技术研究发展计划"863"项目(2011AA040401)
关键词 高温高压传感器芯片 高性能数字变送系统 数字补偿技术 无线传感网络 高精度 high-temperature and high-pressure sensor chip high-performance digital transmittersystem digital compensation technology wireless sensor network high accuracy
  • 相关文献

参考文献21

  • 1James W K Wong. City-gas development in China-An NG per-spective[J].{H}ENERGY POLICY,2010.2107-2109.
  • 2Tian B,Zhao Y L,Jiang Z D. Fabrication and structural design of micro pressure sensors for tire pressure measurement systems (TPMS)[J].{H}SENSORS,2009,(09):1382-1393.
  • 3Timoshenko S,Woinowsky-Krieger S. Theory of Plates and Shells[M].{H}New York:McGraw-Hill,1959.
  • 4Herrera G V,Bauer T,Blain M G. SOI-Enabled MEMS processes lead to novel mechanical,optical,and atomic physics devices[A].New Paltz,NY,United states,2008.5-8.
  • 5Xu J B,Zhao Y L,Jiang Z D. A monolithic silicon multi-sensor for measuring three-axis acceleration,pressure and temperature[J].{H}JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY,2008.731-739.
  • 6Roark R J. Formulas for Stress and Strain[M].New York:McGraw-Hill,1965.427-524.
  • 7Pancewicz T,Jachowicz R,Gniazdowski Z. Empirical veri-fication of the FEM model of semiconductor pressure sensor[J].{H}Sensors and Actuators,1999.260-265.
  • 8Azi A A,Majlis B Y. A simulation studies of piezoresistive sens-ing resistor in MEMS square diaphragm[A].Indone-sia,2010.576-579.
  • 9Narayanaswamy Joseph D,Sumangala Antony J. Computer aided modelling and diaphragm design approach for high sensitivity sili-con-on-insulator pressure sensors[J].{H}MEASUREMENT,2011.1924-1936.
  • 10Reddy J N. Theory and Analysis of Elastic Plates and Shells[M].USA:CRC,2007.

二级参考文献8

  • 1郭隐彪,郑琳,王振忠.高精度非球面加工双轴动平衡监控技术研究[J].光学精密工程,2006,14(3):434-438. 被引量:8
  • 2Liang Steven Y,Hecker Rogelio L,Landers Robert G.Machining process monitoring and control:The state-of-the-art[J].Journal of Manufacturing Science and Engineering,2004,126(5):297-310.
  • 3Ferraz Jr F,Coelho R T.Data acquisition and monitoring in machine tools with CNC of open architecture using intemet[J].Intemational Journal of Advanced Manufacturing Technology,20@5,26(7):90-97.
  • 4Chandra-Sekaran Ashok-Kumar,Picioroaga Florentin,Brinkschulte Uwe,et al.Towards a self-organizing wireless hospital area network[J].IFMBE Proceedings,2007,14(6):3984-3987.
  • 5Raul Morais,Miguel A Fernandes,Samuel G Matos,et al.A ZigBeenext term multi-powered wireless acquisition device for remote sensing applications in precision viticulture[J].Computers and Electronics in Agriculture,2008,62(2):94-106.
  • 6Qiu Wanzhi,Efstratios Skafidas,Hao Peng.Enhanced tree routing for wireless sensor networks[J].Ad Hoc Networks,2009,7(3):638-650.
  • 7郭晓军,王太勇,任宪常,秦旭达,王国锋.数控机床加工过程网络化监控技术的研究[J].组合机床与自动化加工技术,2008(9):56-58. 被引量:7
  • 8徐跃,王太勇,赵艳菊,董靖川.基于总线和网络技术的开放式可监控数控系统[J].农业机械学报,2008,39(10):178-182. 被引量:7

共引文献18

同被引文献19

引证文献4

二级引证文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部