DYNAMIC NONLINEAR CORRECTION PROCESSING OF PRESSURE SENSOR TEST SIGNAL IN INTERNET OF THINGS SYSTEM

Wei Wang and Dimah Alahmadi ()
Additional contact information
Wei Wang: School of Instrument and Electronics, North University of China, Taiyuan, Shanxi, P. R. China
Dimah Alahmadi: ��Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

FRACTALS (fractals), 2022, vol. 30, issue 02, 1-11

Abstract: In order to further explore the intelligent research of the pressure sensor in the pipeline, based on the existing pipeline detection methods of the Internet of Things (IoT), the signal processing method and correction research in the wireless sensor network of the IoT are explored. A multi-pressure sensor detection method of negative pressure wave is proposed. Scientific and intelligent means are used to explore the pipeline remote intelligent detection. The specific research results are as follows. In the simulation study, when the working condition of pump station 1# changes, the pressure wave first reaches A1 and B2 sensors, and finally reaches C1 and C2 sensors. If there is leakage in the pipeline, the simulation results show that when the pressure of pump station rises to 5MPa, the pressure of B1 and B2 test points decreases to about 4.9MPa, and the pressure of A1, A2, C1 and C2 test points is about 3MPa; when the pressure of the pump station drops to 3MPa, the pressure of all test points decreases. Generally speaking, the pressure of the front-end pressure sensor of the pump station is basically unchanged while the pressure of the back end increases when the pressure increases; when the pressure decreases, the pressure of the front-end pressure sensor of the pump station is basically unchanged while the pressure of all the back-end pressure sensor decreases. After correction, the signal data is obviously smooth and the error is obviously reduced. This study can provide scientific and effective reference for the pressure monitoring of IoT sensor network.

Keywords: Internet of Things; Pressure Sensor; Signal Correction; Remote Monitoring (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X22401041
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:30:y:2022:i:02:n:s0218348x22401041

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X22401041

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().