Multi-Agent Based Water Distribution and Underground Pipe Health Monitoring System Using IoT

Narayanan, Lakshmi; Sankaranarayanan, Suresh

doi:10.1007/978-3-030-14070-0_54

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Also, Enrico [29] Kim et al [30] Mohamed and Jawhar [31] proposed a method for the evaluation of rapid crack expansion in PE pipes by analyzing the main causes of rapid crack expansion in PE pipes. On the other hand, Narayanan and Sankaranarayanan [32] Gafarova [33] investigated the effect of fatigue crack extension in HDPE pipes from the point of view of molecular weight distribution and proposed a possible link between the potential failure mechanism of cracked primary fibers and feed-back kinetics. Mohamed and Jawhar [34] Shammazov et al [35] Jin and Eydgahi [36] analyzed the rapid crack expansion of polyethylene pressure pipes using simulation methods and proposed a test experiment method for testing the resistance of polyethylene pipes to rapid crack expansion.…”

Section: Introductionmentioning

confidence: 99%

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Aleksander G.,

Yifan,

Fuming

2023

IJE

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The study of factors influencing the performance of PE pipe against rapid crack expansion is of great significance for the safe use of PE pipe. This paper analyzes the role of each step in the algorithm based on the theoretical basis of random forest, and proposes an improved random forest method based on recursive feature elimination by changing the node splitting rules to address the shortcomings of the random forest classification accuracy. The method is used to analyze the effect of rapid crack expansion of PE pipe in terms of pipe size and wall thickness, impact knife speed, and notched impact strength of simply supported beams. Under the same conditions, the extended crack lengths of DN260, DN150 and DN65 pipes are 197, 164 and 128 mm, respectively, while the crack lengths of PE80 pipes are 24, 210 and 239 mm at impact knife speeds of 10, 15 and 20 m/s, respectively. The higher the notched impact strength of the simple beam, the higher the critical pressure value and the better the RCP resistance. The study of rapid crack expansion of PE pipe based on deep learning algorithm can identify the main internal and external factors affecting the RCP resistance of PE pipe and provide a solid basis for PE pipe life prediction.

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Section: Introductionmentioning

confidence: 99%

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Aleksander G.,

Yifan,

Fuming

2023

IJE

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Efficient Design of Underwater Acoustic Sensor Networks Communication for Delay Sensitive Applications over Multi-hop

Guqhaiman

Akanbi

Aljaedi

et al. 2021

Advances in Intelligent Systems and Computing

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Multi-Agent-Based Modeling for Underground Pipe Health and Water Quality Monitoring for Supplying Quality Water

Narayanan

Sankaranarayanan

Rodrigues

et al. 2020

International Journal of Intelligent Information Technologies

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This article discusses distributed monitoring through the deployment of various multiagents in the IoT-Fog-based water distribution network (WDN). This will ensure the right amount of water supplied with respect to demand forecasted to residents. In addition, underground pipe health is also monitored by means of a multiagent based on hydraulic parameters supplying water forecasted with minimal losses which would minimize the operational and material cost involved in recovery or repair. Lastly, there are agents deployed towards leakage monitoring and anti-theft detection of water. The multiagents act upon various parameters of hydrology and analysis is based on the data acquired by the various sensors deployed in the water distribution network which perform partial automation of the disconnection of the supply during extreme critical conditions.

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Multi-Agent Based Water Distribution and Underground Pipe Health Monitoring System Using IoT

Cited by 3 publications

References 12 publications

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Predicting Service Life of Polyethylene Pipes under Crack Expansion using "Random Forest" Method

Efficient Design of Underwater Acoustic Sensor Networks Communication for Delay Sensitive Applications over Multi-hop

Multi-Agent-Based Modeling for Underground Pipe Health and Water Quality Monitoring for Supplying Quality Water

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