SBIR Phase I: Dynamic Predictive Maintenance System for Mitigating CSO & SSO

Period of Performance: 01/01/2009 - 12/31/2009

$100K

Phase 1 SBIR

Recipient Firm

InfoSense Inc
1800 Camden Road, Ste 107-204
Charlotte, NC 28203
Principal Investigator

Abstract

This Small Business Innovation Research Phase I research project develops a cost effective solution to the sewer overflow hazard within combined sewer systems and sanitary sewer systems. Specifically, the complexity and dynamic nature of the wastewater system presents significant challenges for maintenance. Underlying the maintenance policy development is an engineering trade-off: over-maintenance incurs unnecessary maintenance costs and under-maintenance incurs a greater overflow risk. The proposed solution introduces novel technology innovations which address the limitation in both the reliability and economic feasibility of current blockage detection approaches. Reliably predicting blockage locations will mitigate the risk with minimal maintenance requirements. The proposed project develops the technology innovations for implementing a Dynamic Predictive Maintenance System (DPMS) which allows municipal wastewater utilities to institute a just-in-time maintenance program for mitigating combined sewer overflows (CSO) and sanitary sewer overflows (SSO). Based on the Environmental Protection Agency 2004 Congressional Report, well over 34 thousand sewer