Low power node architecture design for mechanical vibration wireless sensor networks

被引:0
|
作者
Zeng C. [1 ]
Tang B. [1 ]
Xiao X. [1 ]
Chen T. [2 ]
机构
[1] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing
[2] China Aero Dynamic Research and Development Center, Mianyang
来源
Tang, Baoping | 1600年 / Chinese Vibration Engineering Society卷 / 36期
关键词
Architecture; Low energy consumption; Machine vibration monitoring; Wireless sensor network;
D O I
10.13465/j.cnki.jvs.2017.14.005
中图分类号
学科分类号
摘要
In view of the high energy consumption at the nodes of current mechanical vibration wireless sensor networks, a low power node architecture design was proposed. A low power, high sensitivity MEMS accelerometer was adopted to pick up mechanical vibration signals, which simplifies the power and conditioning circuits; a switched capacitor low-pass filter with adjustable passband was used to realize the dynamic anti-aliasing; a flash storage chip with low operating current was applied to store the continuous and high-rate digital signal streams, which takes into full consideration of the storage speed. A SOC was adopted to act as a whole control core, which controls the acquisition, storage and wireless transmission process. Besides ensuring the mechanical vibration signal acquisition performance, the SOC greatly reduces the nodal size and energy consumption. A comparison between the energy consumption of the proposed low power architecture and a typical dual-core-processor architecture was conducted, and the results indicate that the node based on the proposed low power architecture is of satisfactory low energy consumption performance. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
引用
收藏
页码:33 / 37and65
页数:3732
相关论文
共 15 条
  • [1] Rehman A., Abbasi A.Z., Islam N., Et al., A review of wireless sensors and networks' applications in agriculture, Computer Standards & Interfaces, 36, 2, pp. 263-270, (2014)
  • [2] Pakzad S.N., Fenves G.L., Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network, Journal of Structural Engineering, 135, 7, pp. 863-872, (2014)
  • [3] Zhang J., Zhao Z., Chen H., Et al., EasiSolar: Design and implementation of a high-efficiency solar energy-harvesting sensor node system, Chinese Journal of Scientific Instrument, 33, 9, pp. 1952-1960, (2012)
  • [4] Tang B., Huang Q., Deng L., Et al., Research progress and challenges of wireless sensor networks for machinery equipment condition monitoring, Journal of Vibration, Measurement & Diagnosis, 34, 1, pp. 1-7, (2014)
  • [5] Heo G., Jeon J., An artificial filter bank (AFB) for structural health monitoring of civil structures-Part 2: an implementation and evaluation of the AFB, Procedia Engineering, 114, 2-3, pp. 564-573, (2015)
  • [6] Fraser M., Elgamal A., He X., Et al., Sensor network for structural health monitoring of a highway bridge, American Society of Civil Engineers, 24, 1, pp. 11-24, (2014)
  • [7] Gungor V.C., Hancke G.P., Industrial wireless sensor networks: challenges, design principles, and technical approaches, IEEE Transactions on Industrial Electronics, 56, 10, pp. 4258-4265, (2009)
  • [8] Hou L., Bergmann N.W., System requirements for industrial wireless sensor networks, Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010, pp. 1-8, (2010)
  • [9] Vogl A., Wang D.T., Stor S.P., Et al., Design, process and characterisation of a high-performance vibration sensor for wireless condition monitoring, Sensors and Actuators A: Physical, 153, 2, pp. 155-161, (2009)
  • [10] Ramachandran V.R.K., Sanchez Ramirez A., Zwaag V.D.B.J., Et al., Energy-efficient on-node signal processing for vibration monitoring, IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks & Information Processing, pp. 1-6, (2014)