Browse by author
Lookup NU author(s): Shang Gao,
Professor Gui Yun Tian,
Kong Jing Li
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2014 IEEE.Traditional wired monitoring systems exhibit huge limitations in blast wave monitoring. To meet the requirements of long range, low cost, weight reduction, increased ease of installation maintenance, and big-data transmission in blast wave monitoring, a new distributed linear-spatial-array (D-LSA) sensing system based on low-power wide-area network (LPWAN) is proposed in this paper. This approach adopts a multichannel LoRa and NB-IoT air-blast gateway (M-CLNAG) and multiple FPGA-based wireless pressure LoRa nodes (FWPLNs) to construct a large-scale LPWAN for blast wave monitoring. The empirical models of dynamic parameter calculation (peak overpressure, duration of the positive phase and impulse) on the basis of D-LSA sensing system are redesigned for blast wave monitoring as well. Furthermore, we have evaluated the errors between the measured data from D-LSA sensing system and data from the redesigned empirical models. Finally, the wireless quality performance in terms of received signal strength indication (RSSI) and packet receive rate (PDR) for blast wave monitoring is also verified. This paper is conducted to provide new insights into how a sensing system integrating with LPWAN is designed in blast wave monitoring for acquiring dynamic parameters accurately and carrying out remote network communication efficiently, and further opening a door for wireless sensor network (WSN) in more blast wave monitoring scenarios.
Author(s): Gao S, Tian GY, Dai X, Fan M, Shi X, Zhu J, Li K
Publication type: Article
Publication status: Published
Journal: IEEE Internet of Things Journal
Print publication date: 01/12/2019
Online publication date: 19/09/2019
Acceptance date: 09/07/2019
ISSN (electronic): 2327-4662
Altmetrics provided by Altmetric