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PlantWeb Optics Analytics - Process Optimization
Achieve operational excellence by automatically gathering and processing data from control systems, databases, plant applications, and operation procedures.
Shortens decision-making process by eliminating need for gathering data from control systems, databases, plant applications and operation procedures
Reach operational excellence by
Detecting abnormal events
Delivering knowledge to operations
Managing performance deviations
Increasing visibility across the enterprise
Improving execution of operation procedures by
Detecting problem's root cause using intuitive fault propagation models
Define and execute workflows
Execute graphically defined rules
Features
Machine learning - Neural networks, decision trees, linear classifiers
Optimization - Finding the best available values of an objective function, given a set of constraints
Workflow - Build and automate sequential process made of data analytics, learning, clustering, and modelling
Graphical Environment - Microsoft look and feel, no scripting or programming
Modelling - Perform descriptive and predictive models based on actual data
Pattern Recognition - Discovering recurrent sequences in alarms and events database
Exploration - Tools to clean, sample, smooth and correlate
Time Series - Behavior analysis
Visualization - Present data in charts or plots
Sensor Validation - Identify faulty sensors and validate values
KPI Dynamic Targeting - Set dynamic targets that consider process behavior
Asset Performance Modelling - Model the performance of an asset as a function of key process inputs
Alarm Analytics - Correlate alarm data and process data for better troubleshooting and root cause analysis
Batch Analytics - Key insights into process variability issues
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