Design and Evaluation of IoT-Enabled Instrumentation for a Soil-Bentonite Slurry Trench Cutoff Wall
1
Computer Science, Bucknell University, Lewisburg, PA 17837, USA
2
Computer Science, New York University, New York, NY 10012, USA
3
Civil & Environmental Engineering, Bucknell University, Bucknell University, Lewisburg, PA 17837, USA
*
Author to whom correspondence should be addressed.
Infrastructures 2019, 4(1), 5; https://doi.org/10.3390/infrastructures4010005
Received: 14 December 2018
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Revised: 4 January 2019
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Accepted: 7 January 2019
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Published: 11 January 2019
(This article belongs to the Special Issue Intelligent Infrastructures)
In this work, we describe our approach and experiences bringing an instrumented soil-bentonite slurry trench cutoff wall into a modern IoT data collection and visualization pipeline. Soil-bentonite slurry trench cutoff walls have long been used to control ground water flow and contaminant transport. A Raspberry Pi computer on site periodically downloads the sensor data over a serial interface from an industrial datalogger and transmits the data wirelessly to a gateway computer located 1.3 km away using a reliable transmission protocol. The resulting time-series data is stored in a MongoDB database and data is visualized in real-time by a custom web application. The system has been in operation for over two years achieving 99.42% reliability and no data loss from the collection, transport, or storage of data. This project demonstrates the successful bridging of legacy scientific instrumentation with modern IoT technologies and approaches to gain timely web-based data visualization facilitating rapid data analysis without negatively impacting data integrity or reliability. The instrumentation system has proven extremely useful in understanding the changes in the stress state over time and could be deployed elsewhere as a means of on-demand slurry trench cutoff wall structural health monitoring for real-time stress detection linked to hydraulic conductivity or adapted for other infrastructure monitoring applications.
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Keywords:
wireless sensing; reliability; instrumentation; deployment; slurry wall; bentonite
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MDPI and ACS Style
Marchiori, A.; Li, Y.; Evans, J. Design and Evaluation of IoT-Enabled Instrumentation for a Soil-Bentonite Slurry Trench Cutoff Wall. Infrastructures 2019, 4, 5. https://doi.org/10.3390/infrastructures4010005
AMA Style
Marchiori A, Li Y, Evans J. Design and Evaluation of IoT-Enabled Instrumentation for a Soil-Bentonite Slurry Trench Cutoff Wall. Infrastructures. 2019; 4(1):5. https://doi.org/10.3390/infrastructures4010005
Chicago/Turabian StyleMarchiori, Alan, Yadong Li, and Jeffrey Evans. 2019. "Design and Evaluation of IoT-Enabled Instrumentation for a Soil-Bentonite Slurry Trench Cutoff Wall" Infrastructures 4, no. 1: 5. https://doi.org/10.3390/infrastructures4010005
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