No one understands the poor state of the water and wastewater infrastructure in many U.S. cities and municipalities better than public works professionals. Due to tight budgets and a lack of broad public recognition of the problem, needed improvements have been deferred for years or even decades in some cases. The problem isn’t limited to prominent public cases such as in Flint, Michigan. Studies have revealed water losses between source and destination as high as 46 percent. Losses of this magnitude are clearly unsustainable over the long term. Yet a “rip and replace” of the existing water and wastewater systems is not feasible, promised federal infrastructure investments notwithstanding. How can cities and towns protect the quality and availability of their public water and wastewater systems within their budget and resource constraints? Increased use of data analytics and Industrial Internet of Things (IIoT) technologies are playing a key role in answering this question—a role that will only grow in scope and importance. The use of data in managing water and wastewater systems is nothing new. Public works professionals have long relied on test data from water samples and other manually collected metrics to monitor their product and the efficiency of their distribution systems. But this data is limited and retrospective; results only provide a snapshot of what was happening in a particular moment in the past. And the data is rarely analyzed in aggregate, missing the opportunity to identify subtle trends that could provide early warning of developing problems.
Make the most of limited resources and prepare for the skills gap.
Stratus Technologies, ARC Advisory Group
09/26/2017