YOUR CHALLENGE:
Inconsistent and unreliable process controls
While Distributed Control Systems (DCS) have been around for decades, few operators trust the controls in them to fully automate the process—mainly because they believe the DCS is running on suspect data.
YOUR CHALLENGE:
Inconsistent and unreliable process controls
While Distributed Control Systems (DCS) have been around for decades, few operators trust the controls in them to fully automate the process—mainly because they believe the DCS is running on suspect data.
Why don’t operators trust the data feeding the DCS?
Most data is extracted via a collection of sensors that have to be monitored, cleaned and recalibrated regularly to maintain a consistent level of accuracy.
SO WHAT?
As a result, operators end up manually adjusting parameters like dilution factor, shower flows and chemical feed when they see issues arise. And each crew that comes in may have different ideas and settings that work for them, which means there is no continuity from shift to shift. As a result, mills waste energy, water and chemicals fighting fires, instead of finding and fixing core issues.
THE SOLUTION:
Create alignment among your people, technology and processes
When operators don’t trust the DCS controls, they’re going to rely on their own intuition and manual interventions—which may be different for each individual, creating inconsistencies that introduce even more variability. Instead, you need to get your people, technologies and processes aligned across all your mills. Here’s how…
THE SOLUTION:
Create alignment among your people, technology and processes
When operators don’t trust the DCS controls, they’re going to rely on their own intuition and manual interventions—which may be different for each individual, creating inconsistencies that introduce even more variability. Instead, you need to get your people, technologies and processes aligned across all your mills. Here’s how…
Base interventions on trusted data
You need to reliably measure entrained air without sensors being directly exposed to the harsh conditions of your process, so operators can trust the data’s accuracy and take action based on facts—rather than their guts.
Maintain accurate readings over time
You need to avoid unnecessary calibration and maintenance of instruments, which can create downtime and data drift. This way, mill leaders can confidently identify entrained air trends and respond with consistent, real-time control strategies.
