A Lightweight Wireless Overpressure Node Based Efficient Monitoring for Shock Waves

Shang Gao*, Guiyun Tian, Xuewu Dai, Qing Zhang, Zhiling Wang, Xinge Yang, Qiaomu Wang, Naishu Jia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Overpressure measurement is an important approach to evaluate the power of shock wave (SW) monitoring. Traditional wired monitoring systems exhibit the limitations of high-cost, heavyweight, troublesome maintenance, and big-data transmission in SW monitoring. In this article, a new lightweight FPGA-based wireless overpressure node (LFWON) with the resistance to higherature and high-pressure environment for SW monitoring. The proposed LFWON is based on the Spartan-6 XC6SLX9-2TQG144C FPGA circuit, via a serial peripheral interface to the RF transceiver and data bus to the NAND flash chip for data management. To validate the LFWON, experimental tests in terms of dynamic parameters and network quality are performed in a real blast testing with 8-kg trinitrotoluene. This article is conducted to provide new insights into how the antishocking structure and sensing algorithm of wireless sensor node is designed in SW monitoring for acquiring overpressure accurately. The results show that the errors of Δ P(7 m-12m), td(>6 m), and I + (3m-24 m) from proposed LFWON are below 20% in comparison with wired system. In addition, the RSSI value of LFWON should be set above-70 dBm for stable communication quality.

Original languageEnglish
Article number9206070
Pages (from-to)448-457
Number of pages10
JournalIEEE/ASME Transactions on Mechatronics
Volume26
Issue number1
Early online date25 Sept 2020
DOIs
Publication statusPublished - Feb 2021

Keywords

  • Dynamic parameter
  • network quality
  • overpressure
  • shock wave (SW) monitoring
  • wireless sensor network (WSN)

Fingerprint

Dive into the research topics of 'A Lightweight Wireless Overpressure Node Based Efficient Monitoring for Shock Waves'. Together they form a unique fingerprint.

Cite this