Inframark
Inframark modernizes wastewater management with AVEVA CONNECT
Inframark, a global provider of water and wastewater management services, places advanced digital tools at the heart of its mission to protect water resources. The organization faced disparate data sources that made it difficult to analyze operational efficiency, needed a software stack accessible to all teams, and wanted to leverage machine learning to uncover new insights. Inframark deployed AVEVA Edge, AVEVA Edge Management, AVEVA CONNECT and AVEVA Advanced Analytics to combine cloud computing, edge-collected data, advanced analytics and machine learning. The platform brings rigorous data organization through a unified namespace, simplifying filtering and contextualization. Advanced analytics models are deployed in less than a day, and optimal asset behaviors are predicted and then displayed in dashboards accessible to customers and internal teams alike. The result is more efficient operations, reduced consumption and a profound transformation of wastewater management for the benefit of the communities served.
FAQ
How does AVEVA combine edge computing and the cloud for wastewater management?
Inframark deploys AVEVA Edge and AVEVA Edge Management to collect operational data directly at the edge of its wastewater facilities, then sends it up to AVEVA CONNECT in the cloud. This hybrid architecture makes it possible to aggregate disparate data sources into a unified namespace, simplifying filtering and contextualization. Teams thus get a consistent real-time view, from the remote station to the cloud dashboard shared between internal operators and customers.
What does AVEVA Advanced Analytics bring to wastewater treatment?
AVEVA Advanced Analytics allows Inframark to industrialize machine learning across its treatment processes. Advanced analytics models are deployed in less than a day and predict the optimal behavior of assets (pumps, aerators, filtration equipment). This predictive approach complements laboratory data, saves time and resources, and feeds directly into operational dashboards. It helps reduce energy consumption and waste while improving treatment quality.
Why is a unified namespace essential for making use of industrial data?
Before AVEVA, Inframark had to deal with disparate data sources that were hard to correlate. The unified namespace provided by AVEVA CONNECT and AVEVA Edge structures all measurement points according to a common hierarchy (site, equipment, variable). This rigorous organization makes filtering, contextualization and cross-cutting analyses easier. It is an essential prerequisite for using machine learning at scale and for sharing reliable information between technical teams, business teams and customers.
How does AVEVA contribute to the sustainability of water operations?
By combining real-time data, machine learning and shared dashboards, Inframark continuously optimizes its processes thanks to AVEVA Advanced Analytics and CONNECT. Predictive models identify the most efficient operating points, reducing energy consumption and discharges. This data-driven approach supports the mission of protecting water resources, delivering more efficient operations and better service to the communities served, in a sector where regulatory and environmental pressure keeps growing.
What operational benefits does an AVEVA edge-to-cloud architecture provide?
For Inframark, the AVEVA Edge + CONNECT + Advanced Analytics architecture delivers four concrete benefits: organized, immediately accessible data via a unified namespace; deployment of analytical models in less than a day; predictions of optimal asset behavior displayed in dashboards for customers and teams; and time and resource savings by replacing laboratory analyses with real-time models. The result is more efficient operations and a profound transformation of wastewater management.