Control^MD

Track and Analyze Data: Monitor multiple valves simultaneously to understand system-wide performance.

Real-Time Dashboards: Quickly identify valves in alarm states and navigate to detailed monitoring displays.

Comprehensive Summary Pages: View all valve health statuses at a glance for faster decision-making.

Machine Learning Integration: Compare modeled valve output to real-world performance to identify emerging issues.

Data Regression Modeling: Establish performance baselines for more accurate output tracking.

Monthly Health Checks: Receive regular evaluations and performance summaries from InCentrik specialists.

PI Asset Framework (AF) elements for each monitored valve with detailed analyses

PI Vision Summary Displays for complete system health visibility

Individual PI Vision dashboards with key metrics and alarm indicators

Data regression package for baseline output tracking

Expert monitoring and monthly health assessments from InCentrik

Improve Plant Safety: Identify valve issues early to prevent operational risks.

Predictive Maintenance: Detect performance deviations and schedule proactive maintenance.

Verify Calibration: Confirm valves are installed and functioning correctly.

Enhance Efficiency: Maintain steady control, reduce operator error, and improve product quality.

Increase Uptime: Minimize unplanned downtime and maximize productivity.