Multi-Agent-Based Modeling for Underground Pipe Health and Water Quality Monitoring for Supplying Quality Water
Autor: | Joel J. P. C. Rodrigues, Pascal Lorenz, Suresh Sankaranarayanan, Lakshmi Kanthan Narayanan |
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Rok vydání: | 2020 |
Předmět: |
Distribution networks
Computer science business.industry media_common.quotation_subject 0211 other engineering and technologies 02 engineering and technology Civil engineering Automation Hydrology (agriculture) Software deployment 021105 building & construction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Decision Sciences (miscellaneous) Quality (business) Water quality business Critical condition Information Systems media_common Leakage (electronics) |
Zdroj: | International Journal of Intelligent Information Technologies. 16:52-79 |
ISSN: | 1548-3665 1548-3657 |
Popis: | 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. |
Databáze: | OpenAIRE |
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