As an important bridge connecting cities and rural areas, highway transportation
has an irreplaceable role in regional economic development [1]. Accompanied by the booming development
of long-distance transportation industry, strengthening highway transportation
is of great significance to improve people's living standards [2], but because of the special
characteristics of truck transportation, fuel theft is frequent, seriously
endangering the driver's life and the safety of goods transportation, although
the police in the severe crackdown, but fuel theft seems to be in addition to
inexhaustible, truck drivers lose oil incidents still occur from time to time,
due to the increasingly serious energy problems, the world's countries have Due
to the increasingly serious energy problems, countries around the world have
formulated strict automotive fuel consumption rate (hereinafter referred to as
fuel consumption) regulations [3], in the
transportation process to prevent fuel theft is of great significance.
Foreign research on fuel theft prevention can be traced back to around 2009, when
the International Road Transport Union (IRU) conducted a relevant study in the
UK [4]. In addition, the research on fuel
theft of trucks in the EU-funded TSS project in 2018 has been more systematic
[5]; in 2020, more research literature
on fuel theft has also appeared. Domestic related starting research is late,
research on fuel monitoring and vehicle tracking only appeared around 2012,
after which research gradually increased; a commercial vehicle antitheft fuel
alarm device design was proposed in 2013. However, with the continuous
development of automotive technology, the original fuel anti-theft research is
no longer applicable to the development of modern fuel tank components and has
certain limitations.
Therefore, this study takes this opportunity to deeply investigate the means of
fuel theft and the defects of existing measures, draw on advanced concepts at
home and abroad, innovatively put forward the dual-mode architecture system
program according to the length of the vehicle stopping time, integrating
energy-saving control, multilevel alarms, and location information processing
technology, and is made of hardware selection, software programming, and model
assembly and debugging. After testing, the system is stable in all functions,
effectively monitors fuel anomalies and accurately grades alarms, solves the
problem of excessive energy loss by long-time parking anti-theft, and plays an
effective warning and reminder effect by utilizing the long-distance and
short-distance dual-alarm processing system. However, there are fluctuations in
the stability of data transmission and occasional delays in the response of some
sensors under extreme complex electromagnetic interference, and the technical
flaws will be overcome to improve stability and robustness.