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Testing of a Low-Power Wireless Sensor Network of Conductivity Probes to Detect Corrosive Fluids in Pipelines

Picture for Testing of a Low-Power Wireless Sensor Network of Conductivity Probes to Detect Corrosive Fluids in Pipelines
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Product Number: 51321-16380-SG
Author: Matthew Cullin/Raghu Srinivasan/Todd Petersen/Christina Forbes
Publication Date: 2021
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A low powered wireless sensor network was developed to detect corrosive fluids in pipelines located in remote locations. This paper describes the testing of the four-electrode probe prototype to detect the presence of corrosive fluids in pipelines. This probe was coupled with an Arduino+ , programmed to output conductivity readings using the voltage difference across the electrodes. A heating module was constructed to model the temperature gradient encountered across the insulation of a hot (insulated) pipeline. This unit was used to explore the viability of thermoelectric power generation as a local energy source. The conductivity probe was tested in a flow cell connected to a peristaltic pump to simulate active pipeline conditions which includes different fluid velocities, temperature, and presence of oil. Results indicate that conductivity probes are able to function effectively in the presence of a flowing oil-water mixture as long as the flow was sufficiently turbulent to avoid stratification of the oil-water phases. Thermoelectric generation was determined to be a non-viable local power source for the modules. An alternative photovoltaic solar source with battery storage was determined to be the best alternative. An ultra-low-power binary galvanic continuity probe was designed and tested to further reduce power consumption and to help detect electrode fouling.

Key words: remote sensing, wireless sensor networks, on-line conductivity measurement, remote, arctic climate

A low powered wireless sensor network was developed to detect corrosive fluids in pipelines located in remote locations. This paper describes the testing of the four-electrode probe prototype to detect the presence of corrosive fluids in pipelines. This probe was coupled with an Arduino+ , programmed to output conductivity readings using the voltage difference across the electrodes. A heating module was constructed to model the temperature gradient encountered across the insulation of a hot (insulated) pipeline. This unit was used to explore the viability of thermoelectric power generation as a local energy source. The conductivity probe was tested in a flow cell connected to a peristaltic pump to simulate active pipeline conditions which includes different fluid velocities, temperature, and presence of oil. Results indicate that conductivity probes are able to function effectively in the presence of a flowing oil-water mixture as long as the flow was sufficiently turbulent to avoid stratification of the oil-water phases. Thermoelectric generation was determined to be a non-viable local power source for the modules. An alternative photovoltaic solar source with battery storage was determined to be the best alternative. An ultra-low-power binary galvanic continuity probe was designed and tested to further reduce power consumption and to help detect electrode fouling.

Key words: remote sensing, wireless sensor networks, on-line conductivity measurement, remote, arctic climate

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