KETOS SHIELD offers instantaneous water quality monitoring for potassium – but we don’t stop there. With one device, gain insights into 30+ water testing parameters without high upfront investment expenditures via out $0-CAPEX model.
KETOS SHIELD provides accurate, real-time monitoring for potassium and 30+ other water testing parameters. As a fully-integrated water management solution, devices are interoperable and modular and work within existing water infrastructure, so organizations don’t have to disrupt thier production to build better insights.
Why Monitor Water for Potassium with KETOS
While potassium is rarely found in water at levels that would be unsafe for humans, it is an element often used in water softeners. Previously, water softening systems used a different salt, and the discharge created issues around salinity in water systems and public sewers. As a result, water treatment companies began offering salt-free softeners (leveraging potassium) to treat hard water.
Using potassium in the process of water softening allows organizations to avoid scale buildup and avoid hard minerals from adhering to the interior of pipes. This buildup and scaling can affect equipment and cause unnecessary downtime. Therefore, monitoring the potassium levels in operations leveraging water softening technology will help operators understand the hardness of their water, helping to prevent instances of scale.
Potassium is a critical plant macronutrient and is most commonly added through fertilizers in high quantities.
Monitoring water for potassium is a great start. Gain even more insights by tracking even more parameters (30+).
The KETOS SHIELD remotely monitors dozens of water quality parameters. Which one do your water operators test most often?
KETOS is a fully integrated platform that combines hardware, software, connectivity, automated reporting, predictive analytics, and maintenance to automate water monitoring and testing. KETOS enables water operators to identify and solve mission-critical water efficiency and quality challenges in real-time, or before they happen through predictive algorithms, to ensure that water meets specific quality and safety standards.