Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116367 - 116367
Published: Dec. 1, 2024
Language: Английский
Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116367 - 116367
Published: Dec. 1, 2024
Language: Английский
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
14Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 157, P. 106357 - 106357
Published: Jan. 5, 2025
Language: Английский
Citations
0Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 162, P. 106666 - 106666
Published: April 16, 2025
Language: Английский
Citations
0Journal 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
0Water Research, Journal Year: 2024, Volume and Issue: 268, P. 122718 - 122718
Published: Nov. 4, 2024
Language: Английский
Citations
0Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116367 - 116367
Published: Dec. 1, 2024
Language: Английский
Citations
0