Contra Costa, Calif. Sanitary District selects Innovyze software to optimize capital improvement program

Oct. 11, 2016
Central Contra Costa Sanitary District serves nearly a half million residents and 3,000 businesses in 13 cities and towns covering 145 square miles.

BROOMFIELD, CO, OCTOBER 11, 2016 -- Innovyze, innovator of business analytics software and technologies for smart wet infrastructure, today announced that the Central Contra Costa Sanitary District (CCCSD) in California has chosen InfoMaster software to optimize the capital improvement program for its sewer collection system.

Central Contra Costa Sanitary District serves nearly a half million residents and 3,000 businesses in 13 cities and towns covering 145 square miles (376 km2). It owns and operates a sewer collection system consisting of approximately 1,500 miles (2,400 km) of sanitary sewer mains, 45,000 manholes, more than 50 diversion structures and 19 pumping stations—conveying on average 32 million gallons (>121,100 m3) per day.

"InfoMaster – a comprehensive GIS-centric, analytics-driven, risk-based asset management software will enable us to leverage our existing GIS and CMMS solutions, hydraulic model output data, and CCTV and sewer cleaning data to optimize the capital improvement strategy for replacing our sewers," said Dan Frost, Senior Engineer, for CCCSD. "The software will help us as part of our master planning efforts to project future sewer replacement needs so that we can plan ahead for an optimal budget that addresses our aging infrastructure needs."

Globally, aging wastewater infrastructures are rapidly deteriorating and sometimes failing — with potentially dire human, environmental and financial consequences. As this aging process continues, the need for effective risk-based asset integrity management becomes more pressing. Maintaining infrastructure assets in fit-for-purpose condition throughout their target lifespans is a primary goal for utilities worldwide, and selecting the right pipes for rehabilitation at the right time is one of the main challenges of asset management. An understanding of when and how pipes will fail, combined with a quantitative grasp of the underlying causal factors likely to induce failure, are essential in formulating a targeted approach to rehabilitation, repair and renewal planning.

Certified by NASSCO PACP, MACP and LACP, InfoMaster is the leading software choice for utilities faced with optimizing their sewer infrastructures and eliminating unwanted overflows. It can accurately estimate both the likelihood and consequence of failure for each individual sewer main in the network, as well as the amount and time of occurrence of future failures. This critical information facilitates a proactive approach to identifying and managing these high-risk assets to help preserve structural integrity and keep the network operating well into the future. It also eliminates reactive maintenance: waiting for pipe failures to occur before repairing.

InfoMaster comprehensive GIS-centric risk-based asset integrity modeling techniques provide reliable pipe failure predictions, even for limited failure records and application to different pipe materials. They include the non-homogeneous Markov Chain (NHMC), non-homogeneous Poisson process (NHPP), Linear Extended Yule Process (LEYP), Cox proportional hazards model, and advanced time-based probabilistic Weibull and Herz models. These techniques can be effectively used to evaluate a variety of pipe characteristics related to failure, and can consider all pipes in the sewer network, not just those with breaks or other failures.

Armed with these powerful models, utilities can now accurately assess the aging processes of their network pipes and estimate their lifetimes and structural/functional failure potential and distribution over time. Such capabilities can greatly assist utilities in assessing their pipes’ propensity to fail, identifying critical ones (more prone to failure), prioritizing their inspection and determining rehabilitation requirements. This proactive “fix before break” approach can help utilities extend the useful life of their assets and improve their performance at maximum savings.

“Strong asset performance modeling and capital planning capabilities are critical components of a smart enterprise asset management strategy,” said Paul F. Boulos, Ph.D., BCEEM, Hon.D.WRE, Dist.D.NE, Dist.M.ASCE, NAE, President, COO and Chief Innovation Officer of Innovyze. “InfoMaster delivers detailed, accurate analyses and comprehensive custom reports that help utility managers make better, more informed decisions on when to repair, replace, or rehabilitate their critical sewer network assets, how to minimize the frequency and mitigate the impact of potential overflows, and how best to optimize efficiency, maintenance and hydraulic performance. It also supports them in developing reliable long-term funding strategies for such projects. These advantages help utilities ensure the long-term sustainability of their infrastructures and their ongoing ability to deliver the required level of service at the lowest lifecycle cost. As a key component of this complex synthesis, Innovyze is proud to continue to be a part of CCCSD’s success.”

About Innovyze
Innovyze is a leading global provider of wet infrastructure business analytics software solutions designed to meet the technological needs of water/wastewater utilities, government agencies, and engineering organizations worldwide. Its clients include the majority of the largest UK, Australasian, East Asian and North American cities, foremost utilities on all five continents, and ENR top-rated design firms. With unparalleled expertise and offices in North America, Europe and Asia Pacific, the Innovyze connected portfolio of best-in-class product lines empowers thousands of engineers to competitively plan, manage, design, protect, operate and sustain highly efficient and resilient infrastructure systems, and provides an enduring platform for customer success. For more information, call Innovyze at +1 626-568-6868, or visit www.innovyze.com.

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