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

Information

  • NSF Award
  • 0912589
Owner
  • Award Id
    0912589
  • Award Effective Date
    7/1/2009 - 15 years ago
  • Award Expiration Date
    12/31/2009 - 15 years ago
  • Award Amount
    $ 100,000.00
  • Award Instrument
    Standard Grant

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

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).<br/><br/>Based on the Environmental Protection Agency 2004 Congressional Report, well over 34 thousand sewer overflows occur annually within the United States resulting in spillage in excess of 850 billion gallons of untreated wastewater. In Charlotte, North Carolina, over 400 sanitary sewer overflows occurred in 2007 within the Charlotte-Mecklenburg Utilities service area resulting in 1.6 million gallons of wastewater overflow. The overflows are predominantly caused by blockages. The blockages cause wastewater to spill out of manholes onto streets, public/private property or into waterways. Overflows result in property damage, environmental problems, and, in severe cases, public health and safety hazards.<br/><br/>This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

  • Program Officer
    Muralidharan S. Nair
  • Min Amd Letter Date
    6/5/2009 - 15 years ago
  • Max Amd Letter Date
    6/5/2009 - 15 years ago
  • ARRA Amount
    100000

Institutions

  • Name
    InfoSense Inc
  • City
    Charlotte
  • State
    NC
  • Country
    United States
  • Address
    1800 Camden Road
  • Postal Code
    282034690
  • Phone Number
    7044887488

Investigators

  • First Name
    Ivan
  • Last Name
    Howitt
  • Email Address
    ihowitt@infosenseinc.com
  • Start Date
    6/5/2009 12:00:00 AM

FOA Information

  • Name
    Industrial Technology
  • Code
    308000