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PROTOTYPING AN INTEGRATED IOT-BASED REAL-TIME SEWER MONITORING SYSTEM USING LOW-POWER SENSORS

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dc.contributor.author Utepov, Yelbek
dc.contributor.author Neftissov, Alexandr
dc.contributor.author Mkilima, Timoth
dc.contributor.author Mukhamejanova, Assel
dc.contributor.author Zharassov, Shyngys
dc.contributor.author Kazkeyev, Alizhan
dc.contributor.author Biloshchytskyi, Andrii
dc.date.accessioned 2024-09-10T06:34:10Z
dc.date.available 2024-09-10T06:34:10Z
dc.date.issued 2023-06
dc.identifier.citation 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. doi: https://doi.org/10.15587/1729-4061.2023.283393 ru
dc.identifier.issn 1729-3774
dc.identifier.other doi: https://doi.org/10.15587/1729-4061.2023.283393
dc.identifier.uri http://rep.enu.kz/handle/enu/16154
dc.description.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 ru
dc.language.iso en ru
dc.publisher Eastern-European Journal of Enterprise Technologies ru
dc.relation.ispartofseries 3/5;( 123 )
dc.subject sewer monitoring ru
dc.subject sensors ru
dc.subject Internet of Things ru
dc.subject Geographic Information System ru
dc.subject sewer chamber ru
dc.title PROTOTYPING AN INTEGRATED IOT-BASED REAL-TIME SEWER MONITORING SYSTEM USING LOW-POWER SENSORS ru
dc.type Article ru


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