Advancing sanitary surveillance: Innovating a live-feed sewer monitoring framework for effective water level and chamber cover detections

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dc.contributor.authorYelbek Utepov
dc.contributor.authorAlexandr Neftissov
dc.contributor.authorTimoth Mkilima
dc.contributor.authorZhanbolat Shakhmov
dc.contributor.authorSungat Akhazhanov
dc.contributor.authorAlizhan Kazkeyev
dc.contributor.authorAssel Toleubekovna Mukhamejanova
dc.contributor.authorAigul Kenzhebekkyzy Kozhas
dc.date.accessioned2024-08-17T17:57:08Z
dc.date.available2024-08-17T17:57:08Z
dc.date.issued2024
dc.descriptionFull text article also available at: https://doi.org/10.1016/j.heliyon.2024.e27395
dc.description.abstractEfficient sanitation system management relies on vigilant sewage surveillance to uphold environmental hygiene. The absence of robust monitoring infrastructure jeopardizes unimpeded conduit flow, leading to floods and contamination. The accumulation of harmful gases in sewer chambers, coupled with tampered lids, compounds sewer network challenges, resulting in structural damage, disruptions, and safety risks from accidents and gas inhalation. Notably, even vehicular transit is vulnerable, facing collisions due to inadequately secured manholes. The core objective of this research was to deconstruct and synthesize a prototype blueprint for a live-feed sewer monitoring framework (LSMF). This involves creating a data gathering nexus (DGN) and empirically assessing diverse wireless sensing implements (WSI) for precision. Simultaneously, a geographic information matrix (GIM) was developed with algorithms to detect sewer surges, blockages, and missing manhole covers. Three scrutinized sensors—the LiDar TF-Luna, laser TOF400 VL53L1X, and ultrasonic JSN-SR04T—were evaluated for their ability to measure water levels in sewer vaults. The results showed that the TF-Luna LiDar sensor performed favorably within the 1.0–5.0 m range, with a standard deviation of 0.44–1.15. The TOF400 laser sensor ranked second, with a more variable standard deviation of up to 104 as obstacle distance increased. In contrast, the JSN-SR04T ultrasonic sensor exhibited lower standard deviation but lacked consistency, maintaining readings of 0.22–0.23 m within the 2.0–5.0 m span. The insights from this study provide valuable guidance for sustainable solutions to sewer surveillance challenges. Moreover, employing a logarithmic function, TF-Luna Benewake exhibited reliability at approximately 84.5%, while TOF400 VL53L1X adopted an exponential equation, boasting reliability approaching approximately 89.6%. With this navigational tool, TF-Luna Benewake maintained accuracy within ±10 cm for distances ranging from 8 to 10 m, showcasing its exceptional performance.
dc.identifier.citationUtepov, Y., Neftissov, A., Mkilima, T., Shakhmov, Z., Akhazhanov, S., Kazkeyev, A., ... & Kozhas, A. K. (2024). Advancing sanitary surveillance: Innovating a live-feed sewer monitoring framework for effective water level and chamber cover detections. Heliyon, 10(6).
dc.identifier.doi10.1016/j.heliyon.2024.e27395
dc.identifier.otherhttps://doi.org/10.1016/j.heliyon.2024.e27395
dc.identifier.urihttps://repository.udom.ac.tz/handle/20.500.12661/4710
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofHeliyon
dc.subjectSewer monitoring
dc.subjectSensors
dc.subjectInternet of things
dc.subjectGeographic information system
dc.subjectSewer chamber
dc.titleAdvancing sanitary surveillance: Innovating a live-feed sewer monitoring framework for effective water level and chamber cover detections
dc.typejournal-article
oaire.citation.issue6
oaire.citation.volume10
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