An automatic defect detection and localization method using imaging geometric features for sewer pipes DOI
Jianghai He,

Z. Y. Wang,

Zhiwei Yong

et al.

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116367 - 116367

Published: Dec. 1, 2024

Language: Английский

IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions DOI Creative Commons
Ahmad Alshami, Eslam Ali, Moustafa Elsayed

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 58427 - 58453

Published: Jan. 1, 2024

This comprehensive review explores IoT innovations in water, wastewater management, and water quality monitoring, emphasizing the transformative potential of these technologies. Combining sociometric systematic (SR) techniques, study analyzes scientometric trends co-occurrence networks linked to topics. Research primarily centers on aspects, averaging 15 articles annually since 2017, peaking at 24 2021. The SR unveils widespread use multiple sensors particularly level, flow, pH sensors. Common wireless technologies are emphasized for their role advancing real-time monitoring. Innovative protocols such as Sigfox Zigbee enhance sensor-IoT connectivity, improving communication infrastructure management. challenges hindering system efficiency data flow include sensor accuracy, energy optimization, reliability, interdisciplinary collaboration, coverage. Addressing gaps is crucial IoT-driven systems enhancing decision-making. guides practitioners integrating automation sustainability

Language: Английский

Citations

14

A comprehensive review of influential factors and predictive techniques of time to failure for sewer pipes DOI

Jingchao Yang,

Tarek Zayed,

Dramani Arimiyaw

et al.

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 157, P. 106357 - 106357

Published: Jan. 5, 2025

Language: Английский

Citations

0

Research on interpretable graph neural network agent model for siltation diagnosis in Urban-Scale sewer systems DOI
Junhao Wu, Ling Ma, Xi Chen

et al.

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 162, P. 106666 - 106666

Published: April 16, 2025

Language: Английский

Citations

0

Detection of Partial and Extended Blockages: A Case Study of Edible Oil Pipeline System DOI Open Access

Babatunde Victor Omidiji,

A. A. Daniyan,

Adeniyi Taiwo

et al.

Journal of Minerals and Materials Characterization and Engineering, Journal Year: 2024, Volume and Issue: 12(03), P. 204 - 223

Published: Jan. 1, 2024

This work focuses on the development and implementation of a simulation-based approach for detection partial extended blockages within an edible oil pipeline system. Blockages, whether or extended, pose significant operational safety risks. study employs computational fluid dynamics (CFD) simulations to model flow behaviour through under varying conditions. It leverages advanced analyze pressure, velocity, temperature variations along pipeline. By simulating scenarios with different blockage characteristics, there is establishment distinctive patterns indicative obstructions. Through extensive analysis simulation data, sensing element, monitoring system, processing signal input response output, system can accurately pinpoint location severity blockages, providing crucial insights timely intervention. The represents advancement in technology, offering proactive accurate identify mitigate potential risks ensure uninterrupted oil, thereby enabling intervention maintenance.

Language: Английский

Citations

0

Information-theoretic sensor placement for large sewer networks DOI Creative Commons

George Crowley,

Simon Tait, George Panoutsos

et al.

Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122718 - 122718

Published: Nov. 4, 2024

Language: Английский

Citations

0

An automatic defect detection and localization method using imaging geometric features for sewer pipes DOI
Jianghai He,

Z. Y. Wang,

Zhiwei Yong

et al.

Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116367 - 116367

Published: Dec. 1, 2024

Language: Английский

Citations

0