Autonomous lime kilns, 50 kilns on several continents
A global lime producer automated its kilns with Wizata: set points driven by data, anomalies caught early, and the same system replicated across its sites.
The challenge
From fixed formulas to kilns that decide
The producer wanted to automate its kilns in plants across several locations and run daily operations on insights from production data.
Its control relied on empirical and mathematical formulas that could not adapt to changing conditions:
What the team set out to do
- Use smart systems that support, and then execute, autonomous decisions.
- Automate set points from data to stabilise the process and maximise energy and quality efficiency.
- Anticipate failures, so maintenance targets only misbehaving equipment.
- Build one system that scales and replicates across global sites.
Our approach
Cloud data, learned control, instant alerts
The producer and Wizata built the system together, then rolled it out kiln by kiln.
One cloud architecture
All existing data processing moved to a cloud-based architecture, for scale and access to every data source.
Learned set points
Data exploration and machine learning found the variables that drive stability. Control algorithms keep the target quality and a stable kiln.
Anomaly detection
Operations teams are alerted instantly, so they can restore full capacity and efficiency before a stoppage.
Components of the AI solution
The outcome
A stable process, better lime, fewer stops
Quality stabilised around optimal targets, with 10% more top-quality lime.
−3% solid fuel
Lower overall energy consumption from a more stable process.
+10% top quality
Quality held around its optimal targets.
6× faster root cause
Problems on process machinery are diagnosed six times faster.
Fewer sudden stops
Failures are predicted, and asset reliability improves for the long term.
Built on the Wizata platform
Explore the platform →Next step
Let your kilns run themselves
You don't have to do it alone. Talk to one of our engineers, or spend one or two days with our team on your own data.

