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Infrastructures 2019, 4(1), 5;

Design and Evaluation of IoT-Enabled Instrumentation for a Soil-Bentonite Slurry Trench Cutoff Wall

Computer Science, Bucknell University, Lewisburg, PA 17837, USA
Computer Science, New York University, New York, NY 10012, USA
Civil & Environmental Engineering, Bucknell University, Bucknell University, Lewisburg, PA 17837, USA
Author to whom correspondence should be addressed.
Received: 14 December 2018 / Revised: 4 January 2019 / Accepted: 7 January 2019 / Published: 11 January 2019
(This article belongs to the Special Issue Intelligent Infrastructures)
PDF [3551 KB, uploaded 11 January 2019]


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. View Full-Text
Keywords: wireless sensing; reliability; instrumentation; deployment; slurry wall; bentonite wireless sensing; reliability; instrumentation; deployment; slurry wall; bentonite

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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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.

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