The Industrial Internet of Things (IIoT) is creating huge opportunities in the water and wastewater industries, adding value to both the utility and the consumer. Connected machines are reshaping the way these utilities operate, allowing them to make smarter and more informed decisions. By driving up innovation, water utilities are driving down cost. Here’s what they’re up to.
Treating water and wastewater requires chemical processes that can now be monitored more accurately using digital data collection. These digital transformations are taking the guesswork out of chemical processing and allow utilities to optimize the amount of chlorine dollars spent to maintain safe levels — saving time, money and empowering operators to make fewer mistakes.
Another IIoT development, a new SaaS application that’s set to launch later this month, will calculate wastewater clarifier tank performance — providing quick analysis on a critical step in the wastewater process. The tool, called ClariFind, alerts utilities as they’re getting close to a failure before they experience it. ClariFind will predict when sludge will overflow and be released. This kind of problem causes EPA issues and fines that can run in the millions of dollars. It will also be able to predict a thickening failure, which is when the effluent doesn’t settle correctly and creates a costly sludge blanket in the tank. ClariFind is just one part of a water operations suite of productivity enhancers — solutions as a service.
Predictive analytics are also solving monitoring problems that were not previously possible for utilities. For example, there are a large number of pumps that are commonly found within water facilities, and digitized data is making it possible for companies to accurately predict when these pumps might fail — ahead of time. It’s similar to the predictive analytic technology used in jet engine checks between airline flights. This cloud-based application easily connects to pumps and helps companies avoid costly and inconvenient failures, allowing engineers to schedule controlled maintenance rather than reactive maintenance.
Read the source article at TechCrunch.