Wireless sensor network for monitoring environmental factors in industrial installations

Gama, Lauro; Gaia, Joao Batista Hidaka de Oliveira; Soares, Antonio de Padua; Kimura, Almir

doi:10.1109/chilecon.2015.7404648

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The Northport power plant uses 95 million gallons of groundwater per year while the Port Jefferson plant uses 53 million gallons per year. 2 In addition to the groundwater use, power plants on Long Island use over 1 billion gallons of saltwater per day for cooling purposes which is discharged back to the coastal waters as heated water. When using saltwater for cooling, the plants have a substantial impact on local marine life.…”

Section: Environmental Conditions and Datamentioning

confidence: 99%

“…In recent years, wireless sensor networks have been considered for various aspects of environmental monitoring [1][2][3][4][5]. Unmanned aerial vehicles (UAVs) were widely used in military applications such as reconnaissance and surveillance [6][7][8].…”

Section: Related Workmentioning

confidence: 99%

“…Post experiment analysis is also provided with TeaCP. It is tested 2 Meyland, Sarah, Water Quantity Management for LICAP Groundwater Management Plan, 2016 draft. 3 Long Island Power Plants, Grace Foundation, 2016.…”

Section: Related Workmentioning

confidence: 99%

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A case study of an autonomous wireless sensor network system for environmental data collection

Dong

Meyland

Karaomeroglu

2017

Env Prog and Sustain Energy

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This article presents a case study of the design of an autonomous wireless sensor network for environmental monitoring to provide data for understanding the relationships among food, energy, and water systems in suburban areas in Long Island New York. The study focuses on the existing water quality data for the two counties on Long Island, Nassau and Suffolk Counties, to understand the impact of energy and food production on the coastal waters of Long Island Sound and Peconic Bay. The analysis of existing data from the US Environmental Protection Agency database reveals the challenges in using such data to understand the relationships between water quality, weather events and identified point sources of pollutants. Maintaining on-going data collection programs is expensive, time-consuming and personnel intensive which is why this project examines new ways to obtain and utilize environmental data. The researchers propose the design of an autonomous wireless sensor network environmental monitoring system with an optimal sensor placement strategy to identify targeted locations for water quality monitoring. The goal is to provide environmental data that can facilitate a better understanding of the interactions of farming activities and energy production resulting in undesirable impacts on water quality. The proposed design can be used to provide real-time data to help stakeholders improve efficiency in resource management and advance early detection of potential hazardous events. V C

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Section: Environmental Conditions and Datamentioning

confidence: 99%