Design of an IoT-based vehicle state monitoring system using Raspberry Pi

Ahmed Bin Masoud; Qi Cheng

doi:10.1109/ICEERP49088.2019.8956975

Design of an IoT-based vehicle state monitoring system using Raspberry Pi

Ahmed Bin Masoud, Qi Cheng

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

8 Citations (Scopus)

Abstract

In this paper, an IoT-based vehicle monitoring system is designed and implemented. The proposed design is comprised of three components: An OBD scan tool, a Raspberry Pi and a Cloud monitoring application. The OBD scan tool collects vehicle information from the OBD-II port of the vehicle, and the Raspberry Pi uploads them onto a cloud server using cellular internet connection. The on-line data as well as the historical data stored on a Cloud server are then accessed by the monitoring application. The application can report data both graphically and descriptively. An algorithm is also proposed to detect faults in engine and cooling systems.

Original language	English
Title of host publication	Proceedings 2019 International Conference on Electrical Engineering Research and Practice, iCEERP 2019, 24-28 November 2019, Sydney, N.S.W.
Publisher	IEEE
Pages	36-41
Number of pages	6
ISBN (Print)	9781728166575
DOIs	https://doi.org/10.1109/ICEERP49088.2019.8956975
Publication status	Published - 2019
Event	International Conference on Electrical Engineering Research and Practice - Duration: 24 Nov 2019 → …

Conference

Conference	International Conference on Electrical Engineering Research and Practice
Period	24/11/19 → …

Keywords

Internet of things
Raspberry Pi (computer)
automobiles
cloud computing
cooling systems
motors

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10.1109/ICEERP49088.2019.8956975

Cite this

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title = "Design of an IoT-based vehicle state monitoring system using Raspberry Pi",

abstract = "In this paper, an IoT-based vehicle monitoring system is designed and implemented. The proposed design is comprised of three components: An OBD scan tool, a Raspberry Pi and a Cloud monitoring application. The OBD scan tool collects vehicle information from the OBD-II port of the vehicle, and the Raspberry Pi uploads them onto a cloud server using cellular internet connection. The on-line data as well as the historical data stored on a Cloud server are then accessed by the monitoring application. The application can report data both graphically and descriptively. An algorithm is also proposed to detect faults in engine and cooling systems.",

keywords = "Internet of things, Raspberry Pi (computer), automobiles, cloud computing, cooling systems, motors",

author = "{Bin Masoud}, Ahmed and Qi Cheng",

year = "2019",

doi = "10.1109/ICEERP49088.2019.8956975",

language = "English",

isbn = "9781728166575",

pages = "36--41",

booktitle = "Proceedings 2019 International Conference on Electrical Engineering Research and Practice, iCEERP 2019, 24-28 November 2019, Sydney, N.S.W.",

publisher = "IEEE",

note = "International Conference on Electrical Engineering Research and Practice ; Conference date: 24-11-2019",

}

Bin Masoud, A & Cheng, Q 2019, Design of an IoT-based vehicle state monitoring system using Raspberry Pi. in Proceedings 2019 International Conference on Electrical Engineering Research and Practice, iCEERP 2019, 24-28 November 2019, Sydney, N.S.W.. IEEE, pp. 36-41, International Conference on Electrical Engineering Research and Practice, 24/11/19. https://doi.org/10.1109/ICEERP49088.2019.8956975

TY - GEN

T1 - Design of an IoT-based vehicle state monitoring system using Raspberry Pi

AU - Bin Masoud, Ahmed

AU - Cheng, Qi

PY - 2019

Y1 - 2019

N2 - In this paper, an IoT-based vehicle monitoring system is designed and implemented. The proposed design is comprised of three components: An OBD scan tool, a Raspberry Pi and a Cloud monitoring application. The OBD scan tool collects vehicle information from the OBD-II port of the vehicle, and the Raspberry Pi uploads them onto a cloud server using cellular internet connection. The on-line data as well as the historical data stored on a Cloud server are then accessed by the monitoring application. The application can report data both graphically and descriptively. An algorithm is also proposed to detect faults in engine and cooling systems.

AB - In this paper, an IoT-based vehicle monitoring system is designed and implemented. The proposed design is comprised of three components: An OBD scan tool, a Raspberry Pi and a Cloud monitoring application. The OBD scan tool collects vehicle information from the OBD-II port of the vehicle, and the Raspberry Pi uploads them onto a cloud server using cellular internet connection. The on-line data as well as the historical data stored on a Cloud server are then accessed by the monitoring application. The application can report data both graphically and descriptively. An algorithm is also proposed to detect faults in engine and cooling systems.

KW - Internet of things

KW - Raspberry Pi (computer)

KW - automobiles

KW - cloud computing

KW - cooling systems

KW - motors

UR - http://hdl.handle.net/1959.7/uws:55204

U2 - 10.1109/ICEERP49088.2019.8956975

DO - 10.1109/ICEERP49088.2019.8956975

M3 - Conference Paper

SN - 9781728166575

SP - 36

EP - 41

BT - Proceedings 2019 International Conference on Electrical Engineering Research and Practice, iCEERP 2019, 24-28 November 2019, Sydney, N.S.W.

PB - IEEE

T2 - International Conference on Electrical Engineering Research and Practice

Y2 - 24 November 2019

ER -

Design of an IoT-based vehicle state monitoring system using Raspberry Pi

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