Advanced Decision Support Tools Optimize Sewer Rehabilitation and Renewal Spending

Water/Wastewater

Advanced Decision Support Tools Optimize Sewer Rehabilitation and Renewal Spending

07 Jan, 2010

Published over 16 years ago. See the latest and most current information on Water/Wastewater.

MWH Soft announce the worldwide availability of the V4 generation of its industry-leading CapPlan Sewer product line. This feature-packed release adds significant functionality, giving users more options for calculating likelihood and consequence of failure, stronger tools for CCTV video analysis and scheduling, and streamlined workflows for complex rehabilitation planning.

Many of the world’s wastewater collection systems are reaching or have exceeded their design lives and urgently need extensive upgrading through rehabilitation, repair, and/or replacement. As aging systems deteriorate, they become increasingly vulnerable to structural failures and are plagued by excessive leaks, drops in carrying capacity, poor water quality, and service disruptions. Age-related infrastructure failures are often unexpected and catastrophic, resulting in significant service disruptions, flooding, and local area damage. The only financially responsible solution is to create well-engineered, risk-based capital improvement plans. Since 2007, MWH Soft’s CapPlan product line, CapPlan Sewer and CapPlan Water, has been the leading software choice of utilities faced with creating such plans.

CapPlan Sewer allows utilities to plan system improvements by scoring both the probability and consequence of failure for each underground asset. Probability of failure is determined based on the pipe’s physical condition and location as well as its hydraulic performance characteristics. Consequence of failure ranking draws on data such as service to critical facilities, total flow carried, population served, adjacent vehicular traffic, and other related geospatial factors. Assets that affect system operation normally rate high on the consequence scale, while assets in poor condition have a high probability of failure.

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