Water and waste water organizations are dealing with many challenges including workforce limitations, increasing regulatory oversight, and aging infrastructures. Additionally, these challenges are draped with the backdrop of tight fiscal budgets and heightened concern over issues such as water pollution and clean water sourcing. Updating aging control systems to modern automation infrastructure yields quick returns and prepares for future applications without making a huge investment.
System automation comes with its own set of challenges
The key challenges faced by water and wastewater professionals with their critical automation systems are eliminating unplanned downtime caused by failures and quickly and accurately diagnosing problems when they occur. Aside from reverting to time consuming and expensive processes such as manual operation, one of the most challenging areas is dealing with control system failures in SCADA, HMI and Historians. Problems range from unexplained application slowdowns to outright application failures, which often go undetected for some period of time, to PC or server hardware failures. In today’s environment, losing data or re-constructing historian timelines to provide accurate records is a critical part of the regulatory framework.
Maintaining continuous availability for water and wastewater while reducing complexity and risk
For many of the water and wastewater organizations across the world, Stratus has been an important solution partner as they seek to modernize their infrastructure while navigating the above challenges.
Stratus is the modern, proven and operationally simple choice for water and wastewater facilities to deliver a complete always-on system that is cost effective and delivers the efficiencies water and wastewater companies demand today.
When combined with virtualization expertise, operational system knowledge, strong partnerships with leading providers such as Wonderware, GE Digital and Rockwell Automation, and an understanding of the increasing importance of emerging capabilities (such as analytics) driven by the Industrial Internet of Things (IIoT), the result is cost-effective deployment, increased efficiency and the returns demanded by today’s economic environment.