Аннотации:
Improper monitoring of sewage
networks may raise various issues such
as overflows, pipe blockages, theft of
manhole covers, leading to flooding
and pollution, infrastructure damage,
vehicles accidents, injury, and even
death from falling into open manholes.
The key objective of this research was
to examine different elements and
create a prototype architecture for a
real-time sewer monitoring system.
Implementation of the architecture
involved constructing a data gathering
station and experimenting with various
wireless sensing devices to assess the
precision of the sensors. In addition,
the study sought to design a geographic
information system that integrates
algorithms capable of identifying
sewer overflow, blocked pipes, and
the presence of manhole covers. The
performance of Sharp GP2Y0A41SK0F
infrared, TF-Luna Benewake LiDar,
TOF400 VL53L1X laser, JSN-SR04T
ultrasonic distance sensors was tested
in terms of their ability to monitor
water level and manhole cover. Tests
revealed the most favorable results in
TOF400 VL53L1X at distances between
0.2 and 1.0 m (presumed distance to
the manhole cover) with a standard
deviation of 0.13–0.24, and in TF-Luna
Benewake at distances between 1.0 and
5.0 m (presumed distance to the chamber
bottom) with a standard deviation
of 0.44–1.15. The deviation analysis has
yielded equations that can be utilized to
provide rough estimates of the accuracy
levels of the aforementioned sensors,
based on the measured distance.
Additionally, the FC-28 analog and
YL-63 infrared sensors were evaluated
for detecting pipe blockages, with the
YL-63 being more suitable. The outcomes
of this study furnish valuable insights
that can aid in achieving sustainable
resolutions for issues related to sewer
monitoring
