Techniques for Real-Time Equipment and Process Monitoring using PI Data Archive and PI-Process Book Jason Banfelder Kesler Engineering, Inc.

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Presentation transcript:

Techniques for Real-Time Equipment and Process Monitoring using PI Data Archive and PI-Process Book Jason Banfelder Kesler Engineering, Inc.

Equipment Performance Monitoring System (People) Operator Process Engineer Manager System Administrator Modeler –Initial construction –Maintenance How does the performance monitoring system address the needs of each of these roles?

Equipment Performance Monitoring System (Jobs) Measure and Improve real time equipment performance –Real Time Displays –Equipment documentation (P&IDs, procedures, etc.) Measure and improve long-term equipment performance –Reporting –Off-line model use Develop and maintain equipment models –Model explorer Install and maintain the monitoring system

Model Development Small and Simple Models: Performance equations –Already a part of PI –Don’t complicate your life if you don’t need to Large or Complex models: KEI Sentinel engine –Structured models, repeated patterns –Open equation modeling –User interface –Thermodynamics –Data validation / reconciliation

Sample Model: Air Preheater

Structured Models Large and/or complex models demand structured storage –Tags –Equations –Thermodynamic data –Solution procedure Use a hierarchical model structure –Tree is easy to visualize –Easier to navigate than a flat list No need to rely on a naming convention –Reusable parts as templates –PI Module Database is a recognition of this

Open Equation Models: Parameters Constant –Value is stored in RDB PI Tag –Value from PI tag –Field instrumentation, lab, manual input, another model –PI tag specification is stored in RDB Internal Calc –Value is an intermediate result calculated by the Sentinel engine Calculated PI Tag –Value is calculated by the Sentinel Engine and stored in PI

Open Equation Models: Equations Material Balance Energy Balance Thermodynamics Definitions –Efficiency –Return on Investment Correlations

Open Equation Solver Analyzes structure of equations, knowns, and unknowns Partitions large system into smaller systems Faster solutions More stable mathematically Determines solution order Solves individual equations and systems Non-linear numerical solver Checks validity inputs, intermediate results, and outputs Deals gracefully with bad inputs or results Does not abandon entire model if some inputs are bad Model Parameters Equations Sentinel Solver Sentinel Solver

Solver Example 12 Pass Fired Heater 781 parameters –51 inputs 574 equations Partitioned into 528 separate systems –Largest is 47 x 47

Model Development Thermodynamics Built-in rigorous thermodynamics –enthalpy, entropy, etc. –steam table –three phase flash

User Interface Complete UI for model development Use the same UI for viewing on- line results –Model structure is different –Specialized displays

Viewing Real Time Performance Process Book is ideal for P&ID type views Difficult to use Process Book alone for reusable data views –Requires a model structure Reusable standard views –Table –Bar chart –Pie chart Specialized views –Hydrocarbon Assay –Heater Summary –Pass Balancing

Real Time Views Demo

Document Views Need more than real-time views to improve operation. –Procedures & Guidelines –PFDs and P&IDs –Mechanical drawings –Reports, Studies, etc. –Web pages Leverage Microsoft ActiveX Document technology to deliver all of this in one window

Document Demo

Reports Excel based reports –Promotes working with the results Reports delivered via –Periodically –By exception Available on-line

Report Demo

The Sentinel in Practice First Beta release installed the week after last year’s OSI conference Ten Sentinel models currently running –Fired heater –Crude distillation unit Orders for 20+ more

The End Thank You Kesler Engineering, Inc.