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Smart sewer monitoring system

Project Member(s): Kodagoda, S., Ranasinghe, R., Dissanayake, G.

Funding or Partner Organisation: South Australian Water Corporation

Start year: 2015

Summary: Sewer corrosion is a significant problem to all wastewater managing utilities around the globe. Australia is not an exception. The work proposes here investigates the state of the art sewer monitoring systems and making innovations in enhanced sewer monitoring capability. With current understanding, the factors that affect sulphide induced sewer corrosion are: the amount of gas phase H2S, surface wall temperature, surface moisture content and acidophilic bacterial activity. There are commercially available gas phase H2S monitors in the market. To our understanding, there is no technology available to measure the other important above factors in sewer conditions. Therefore development of innovative sensing and processing strategies will enhance the current capabilities of sewer monitoring. It is also aimed at prototyping a robust deployable unit which can provide three dimensional maps of the sewers with overlaid other measurements of interest. These measurements will enhance the water utility's (Sydney Water¿s) current sewer monitoring capabilities and provide valuable information to the NICTA¿s data analytic models and UoN analysis.

Publications:

Thiyagarajan, K, Kodagoda, S, Nguyen, LV & Ranasinghe, R 2018, 'Sensor Failure Detection and Faulty Data Accommodation Approach for Instrumented Wastewater Infrastructures', IEEE Access, vol. 6, no. 1, pp. 56562-56562.
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Thiyagarajan, K, Kodagoda, S, Ranasinghe, R, Vitanage, D & Iori, G 2018, 'Robust sensing suite for measuring temporal dynamics of surface temperature in sewers', Nature - Scientific Reports, vol. 8.
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Li, B, Fan, X, Zhang, J, Wang, Y, Chen, F, Kodagoda, S, Wells, T, Vorreiter, L, Vitanage, D, Iori, G, Cunningham, D & Chen, T 2017, 'Predictive Analytics Toolkit for H2S Estimation and Sewer Corrosion', OZWater, Australian Water Association, Sydney.
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Thiyagarajan, K, Kodagoda, S & Nguyen, LV 2017, 'Predictive Analytics for Detecting Sensor Failure Using Autoregressive Integrated Moving Average Model', Proceedings of the 12th IEEE Conference on Industrial Electronics and Applications, IEEE Conference on Industrial Electronics and Applications, IEEE, Siem Reap, Cambodia, pp. 1926-1931.
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Kodagoda, S 2016, 'Analytical Model and Data-driven Approach for Concrete Moisture Prediction', ISARC 2016 - 33rd International Symposium on Automation and Robotics in Construction, International Symposium on Automation and Robotics in Construction, IAARC, Auburn, Alabama, USA..
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Ranasinghe, R & Kodagoda, S 2016, 'Spatial Prediction in Mobile Robotic Wireless Sensor Networks withNetwork Constraints', IEEE, International Conference on Control, Automation, Robotics and Vision, IEEE, Phuket, Thailand.
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Thiyagarajan, K, Kodagoda, S & Alvarez, JK 2016, 'An Instrumentation System for Smart Monitoring of Surface Temperature', 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, International Conference on Control, Automation, Robotics and Vision, IEEE, Phuket, Thailand.
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Thiyagarajan, K, Kodagoda, S & Ulapane, N 2016, 'Data-driven Machine Learning Approach for Predicting Volumetric Moisture Content of Concrete Using Resistance Sensor Measurements', Proceedings of the 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016), IEEE Conference on Industrial Electronics and Applications, IEEE, Hefei, China, pp. 1288-1293.
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Kodagoda, S 2015, 'SMART monitoring of surface temperature and moisture content using multisensory data fusion', Proceedings of the 2015 IEEE 7th International Conference on in Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), IEEE International Conference on Cybernetics and Intelligent Systems, IEEE, Siem Reap, Cambodia.
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Keywords: Sensing, data interpretation, sewer monitoring

FOR Codes: Control Systems, Robotics and Automation, Environmental Technologies, Water and Waste Services not elsewhere classified