Prototyping an integrated IoT-based real-time sewer monitoring system using low-power sensors

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.283393

Keywords:

sewer monitoring, sensors, Internet of Things, Geographic Information System, sewer chamber

Abstract

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

Supporting Agency

  • The authors acknowledge research group members Prof. Dr. Assel Tulebekova, Assoc. Prof. Dr. Zhanbolat Shakhmov, and Dr. Sungat Akhazhanov for their valuable contribution to implement current study under Grant № АР09057970.

Author Biographies

Yelbek Utepov, Solid Research Group (LLP); L.N. Gumilyov Eurasian National University

PhD, Professor

Supervisor of Research Projects

Professor

Department of Civil Engineering

Alexandr Neftissov, Astana IT University

PhD, Associate Professor

Director

Research and Innovation Center «Industry 4.0»

Timoth Mkilima, Solid Research Group (LLP)

PhD, Senior Researcher

Assel Mukhamejanova, Solid Research Group (LLP)

PhD, Senior Lecturer

Shyngys Zharassov, Solid Research Group (LLP); L.N. Gumilyov Eurasian National University

MSc, Junior Researcher, PhD Student

Department of Civil Engineering

Alizhan Kazkeyev, Solid Research Group (LLP); L.N. Gumilyov Eurasian National University

MSc, Junior Researcher, PhD Student

Department of Civil Engineering

Andrii Biloshchytskyi, Astana IT University; Kyiv National University of Construction and Architecture

Doctor of Technical Sciences, Professor, Vice-Rector of the Science and Innovation 

Department of Information Technology

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Prototyping an integrated IoT-based real-time sewer monitoring system using low-power sensors

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Published

2023-06-30

How to Cite

Utepov, Y., Neftissov, A., Mkilima, T., Mukhamejanova, A., Zharassov, S., Kazkeyev, A., & Biloshchytskyi, A. (2023). Prototyping an integrated IoT-based real-time sewer monitoring system using low-power sensors. Eastern-European Journal of Enterprise Technologies, 3(5 (123), 6–23. https://doi.org/10.15587/1729-4061.2023.283393

Issue

Vol. 3 No. 5 (123) (2023): Applied physics

Section

Applied physics

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Copyright (c) 2023 Yelbek Utepov, Alexandr Neftissov, Timoth Mkilima, Assel Mukhamejanova, Shyngys Zharassov, Alizhan Kazkeyev, Andrii Biloshchytskyi

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