Veolia’s PlantExpert turns industrial water treatment data into predictive action

Most industrial water treatment facilities have robust monitoring platforms. They collect data, trigger alarms and track compliance. But monitoring tells you what happened, not what’s about to happen or what to do about it.

That gap between data and action used to be filled by experienced operators who could read a dashboard and recognize patterns from 20 years of working a system, but that institutional knowledge is disappearing. A Brookings Institution analysis found that 88% of water treatment plant operators are 45 or older, and between 30% and 50% of the workforce will retire in the next decade.

Less experienced staff inherit dashboards they can read but patterns they can’t yet recognize. When problems go unrecognized until alarms fire, the costs compound fast. Older facilities drift toward maintenance mode, with systems overtreating, overusing chemicals and consuming more energy and water than necessary. ABB’s Value of Reliability survey found that unplanned downtime costs a median of $125,000 per hour across industrial sectors.

Simply reacting to downtime or damage is no longer a viable strategy. The industry must shift from passive "data collection" to true "data actionability." It’s the difference between merely reading a temperature gauge on a boiler and having a master engineer on-site who understands exactly how the entire plant functions.

To bridge this gap, Veolia has introduced PlantExpert as part of Hubgrade*. By pairing our Hubgrade InSight* smart monitoring platform with PlantExpert's AI-powered service engine, we provide a digital extension of an on-site specialist to augment our people. It predicts issues before they occur and delivers specific, expert-backed corrective actions, empowering teams with immediate solutions rather than just triggering alerts that leave them to figure out the next step alone.

How PlantExpert works

Combined with Hubgrade, PlantExpert’s AI engine draws from Veolia’s decades of experience across thousands of treatment systems worldwide to augment our customers with specific, technically validated corrective actions. While standard sensors are only designed to monitor steady state, this system tracks actual demand.

When it detects demand increasing, it provides proactive recommendations—telling operators exactly what to adjust and by how much. This delivers the kind of timely guidance that previously was not available. Previously, when sensors did detect a breach in limits, it often meant a call to a senior engineer and hours for a callback. In real-world operation, by alerting to changing conditions before the system is out of specification, it provides a critical three-to-five-day advance warning.

PlantExpert also draws on predictive analytics and global intelligence. This means machine learning models are trained on historical water analysis and patterns from similar systems across Veolia’s global network. It recognizes correlations and failure signatures that any single facility’s data set would be too small to reveal.

What this looks like in practice

At an industrial gas plant in the United States, a technician noticed unusual scaling in a cooling tower but lacked a clear path forward using traditional monitoring. With PlantExpert, machine learning deployed on historical water analysis provided daily virtual lab analysis, while the AI engine evaluated scale and corrosion potential and delivered daily adjustment recommendations for the facility’s phosphate and polymer program.

The system identified variable corrosion risk due to seasonal differences between winter and summer operations, resulting in a reduced conductivity set point. The facility cut its phosphate and polymer additions while maintaining chemical equilibrium, which reduced both scaling potential and operational costs.

Optimization as environmental security

Every unit of chemical overtreatment, every kilowatt-hour of wasted energy and every drop of water consumed beyond what’s necessary carries both a financial and environmental cost. Industry accounts for roughly 20% of global freshwater withdrawals, and cooling systems alone can represent up to half of an industrial facility’s total water use. When treatment programs run in maintenance mode rather than optimization mode, those resource footprints are larger than they need to be.

PlantExpert’s continuous optimization aligns with Veolia’s GreenUp strategy to decarbonize, depollute and regenerate natural resources. By surfacing hidden inefficiencies in chemical dosing, energy consumption and water use, the platform helps facilities shrink their environmental footprint while maintaining or improving treatment performance.

Join the industry 5.0 revolution with the only partner capable of transforming your data into expert action.

Contact our experts today to learn how PlantExpert can support your operations.

*Trademark of Veolia; may be registered in one or more countries.