Networked and Embedded Systems Laboratory

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Biochemical activities in sewer pipes generate various volatile substances that lead to several serious problems such as malodor complaints and lawsuits, concrete and metal corrosion, increased operational costs, and health risks. Frequent inspections are critical to maintain sewer health, yet are extremely expensive given the extent of the sewer system and the “unfriendliness” of the environment. In this paper we propose SewerSnort, a low cost, unmanned, fully automated in-sewer gas monitoring system. A sensor &#64258;oat is introduced at the upstream station and drifts to the end pumping station, collecting location
tagged gas measurements. The retrieved SewerSnort provides an accurate gas exposure pro&#64257;le to be used for preventive maintenance and/or repair. The key innovations of SewerSnort are the fully automated, end-to-end monitoring solution and the low energy self localizing strategy. From the implementation
standpoint, the key enablers are the &#64258;oat mechanical design that &#64257;ts the sewer constraints and the embedded sensor design that matches the &#64258;oat form factor and complies with the tight energy constraints. Experiments based on a dry land emulator demonstrate the feasibility of the SewerSnort concept, in particular, the localization technique and the embedded sensor design.

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