Delta v advanced control overview_en

DeltaV Embedded
Advanced Control
A New Approach to Advanced Control
Overview Presentation

Topics
 DeltaV Embedded Advanced Control Advantage
 DeltaV Advanced Control Product Suite
 Experience / Examples

Emerson Confidential

Advanced Control for Operational Excellence
 Improve Quality PlantWeb Benefits
– Reduce Variability
– Predict Lab Measurements
 Increase Throughput
– Continuously Push Limits
– Protect Multiple Constraints
 Reduce Costs
– Maximize Efficiency and Reduce APC
Energy Costs Impact
– Accurate Quality Control to Reduce
Inventory and Product Rework
– Stabilize Control to Reduce
Equipment Wear and Incident Risk


Advanced Control - The DeltaV Way

Enable the average
process engineer to quickly
deploy state-of-the-art
Advanced Control to
improve plant performance.

DeltaV Makes Advanced Control Easy!


Embedded APC Tools – What’s new?
• NO extra Traditional Advanced
databases Control
• NO database
synchronization Embedded APC:
issues
• Can run in DCS controllers
• NO watchdog
timers • Redundant and fast (1/sec)
• NO fail/shed logic • Integrated operator user
design interface
• Configuration through
• NO custom DCS standard Control Studio
programming
• Automated step testing and
• NO interface Model ID
programming
• Off-line simulation and
• NO operator training
interface
development


New Approach to APC Configuration

DeltaV APC blocks are “Drag-n-Drop”

Graphical
Configuration
using Control
Studio


New Approach to APC Configuration

System-wide
tag browsing

… all in the DCS database

Typical APC Project Timeline
Months
1 2 3 4 5 6 7 8 9 10 11 12

Functional Design
Det. Design, Config & Staging
Step Tests & Model ID
Traditional APC Technology
Commissioning

Functional Design
Det. Design & Config
Step Tests & Model ID
Performed on-site
Commissioning

Embedded APC Technology


Traditional Advanced Control Over Time
Start Project
Start Commissioning
End Commissioning

Traditional APC
100%
% On-line Time

More than 50% of APC
applications are turned
off within the first 2
years after installation.

time Yr 1 Yr 2


Why Don’t APC Applications Stay On-Line?
 Regulatory control problems
– Instrument failures
– Valve problems
– Poor loop tuning
 Process changes
– New constraints or limits
– Different control objectives
– Different process dynamics
 Applications not maintained
– Maintenance not budgeted
 Lack of operator training
– Operators don’t understand what the APC is doing
 Too expensive to bring in APC consultants

How to Sustain Control Performance?

Must Build Solid Foundations
You Can’t Have This…

Advanced
Control

Control Foundation

Without This…


Foundation Built on Health of Field Devices

Fieldbus Status Is Consistently Used
by DeltaV Advanced Control


DeltaV Embedded Advanced Control
A Systematic Approach for Sustained Performance
Analyze and
Diagnose
Identify Problems Re-Tune
And Prioritize Or Fix Cause

Monitor Advanced
Performance Control


DeltaV InSight – A Control Performance Suite
Intelligent
Controller Tuning
“Tune with InSight”

Adaptive Control (Adapt)
“Control with InSight”
DeltaV
InSight

Intelligent
Performance Monitoring
“Inspect with InSight” Advanced Control
Process Model Calculations Predict / Neural / Fuzzy


DeltaV Embedded APC for
Sustained Performance

DeltaV APC
Traditional APC

100%
% On-line Time

Faster to Commission +
Sustained Performance
= Greater $$’s Saved

time

The DeltaV Embedded APC Advantage
 Ease of Use
– Intended for process control engineers
– Minimum APC consulting required
 Integrated DeltaV Architecture
– Common graphical configuration, operator displays, historian
– Advanced control technology embedded in system
 Sustained Performance
– Built-in tools to optimize regulatory control performance
– Accounts for health of field devices
 Reduced Cost
– Faster project implementation
– Easier to maintain


Topics
 DeltaV Advantage - Embedded Advanced Control
 Advanced Control Product Suite
 Experience / Examples


DeltaV Advanced Control Products
 DeltaV InSight – performance monitoring and loop tuning
– Inspect: Monitors performance and identifies abnormal
conditions. Automatically configured.
– Tune: On-demand and Adaptive tuning for any PID loop.
– Adapt: Closed loop adaptive control for any PID block.
 DeltaV Predict/Pro – Model Predictive Control (MPC) with
embedded optimization for small and large applications.
 DeltaV Neural – On-line property estimation for process
measurements normally only available from lab analysis.
 DeltaV Simulate/Pro – Off-line training and engineering
environment. Run DeltaV on your laptop!


DeltaV Advanced Control Products
 DeltaV Insight – performance monitoring and loop tuning
– Inspect: Monitors performance and identifies abnormal
conditions. Automatically configured.
– Tune: On-demand and Adaptive tuning for any PID loop.
– Adapt: Closed loop adaptive control for any PID block.
 DeltaV Predict/Pro – Model Predictive Control (MPC) with
embedded optimization for small and large applications.
 DeltaV Neural – On-line property estimation for process
measurements normally only available from lab analysis.
 DeltaV Simulate/Pro – Off-line training and engineering
environment. Run DeltaV on your laptop!


DeltaV InSight
Poor control costs your company money. DeltaV InSight provides
a cost effective way to improve control performance:
 Easily identify control problems
– Loop service and variability monitoring
– Device diagnostics
 Quickly tune loops for improved
control
– On-demand and Adaptive Tuning
– Test tuning with simulation
 Gain process insight with embedded
learning
 Easy to Use – Out of the Box
– No Configuration Required
– Adapts to system configuration
changes


Predictive Intelligence = Intelligent Control
Adaptive Learning Algorithms for Intelligent Control

Learn Evaluate
• Observe • Validate
• Identify • Compare
• Remember • Diagnose

Improve
• Advise
• Tune
• Adapt


DeltaV InSight for Intelligent Control
With InSight’s Adaptive Learning you can:
• Automatically calculate process models for every
control loop in the system
• Benchmark Control Performance
• Diagnose and predict control problems
Learn Evaluate
• Tune controllers (with no testing)
• Reduce start-up time for new control systems
• Reduce engineering time for simulations
• Identify APC Opportunities Improve
• Apply MPC (Predict) with no testing
• Implement closed loop adaptive control
Never before has a Control System provided embedded learning
algorithms for every control loop; enabling intelligent monitoring,
diagnostics, and advanced tuning.


DeltaV InSight
Bringing it all together:
 Performance
Monitoring
• On-demandTuning
 Loop Diagnostics
• Adaptive Tuning  Embedded Learning
• Simulation  Adaptive Tuning
 Adaptive Control

• Adaptive Control
• Performance
Monitoring • Operating Regions
• Loop Diagnostics • Non-linear Control
• Reporting
• Model Identification
• Control Diagnostics
• Performance Indices

DeltaV InSight – Integrated User Interface
Old DeltaV Inspect New DeltaV InSight

Old DeltaV Tune

New interface provides seamless
transition between loop diagnostics
and tuning.


Easily Launched in Context
From the
Control Studio DeltaV Explorer
Operator Interface
From the DeltaV
Explorer

Context sensitive from
Control Studio


DeltaV Insight – Architecture

Data Analysis
and Reporting UI from any
Runs in Server workstation

Embedded Learning Runs in the Controller
• Fast Data Capture

• Small Communications Load

• Runs in Background

DeltaV InSight – Process Learning
 InSight monitors each control
block to detect changes to SP
(or OUT in manual), called a
Trigger Event.
 InSight captures response data
and calculates a dynamic
process model for each Trigger
Event. Models are stored in a
database for use in loop
diagnostics and adaptive
tuning.
 Users may modify default
values for SP or OUT move
size required for a Trigger
Event in the Learning Set-up
Display.


DeltaV InSight – Enable Process Learning

 Learning may be enabled in
Control Studio during
configuration, or
 Learning may be enabled in
DeltaV Explorer
 Learning may also be
enabled and disabled ON-
LINE using DeltaV InSight
 Learning is available on
DeltaV and Fieldbus PID
blocks


Control Performance Monitoring
“Inspect with InSight”
 Explorer tree allows easy
navigation of control hierarchy
 Overview display summarizes
performance for System, Area,
Units and Modules
 Abnormal Control Conditions
indicated for Problem Loops:
– Control Service Status:
• Incorrect mode
• Limited control output
• Bad/Uncertain input
– Control Performance Status:
• Standard Deviation
• Variability Index
• Oscillation Index
• Tuning Index
– Device and Valve Diagnostics


Control Block Performance Indices
Block Summary Display provides trends, current values,
and limits for:
Control Service Statistics
– Incorrect Mode
– Limited Control Output
– Uncertain Input
Control Performance Indices
– Standard Deviation
– Variability Index
– Oscillation Index
– Tuning Index
Tuning Index is the % change in
control variability between current
tuning and recommended adaptive
tuning.


DeltaV InSight – Tuning Index
 Quickly identifies loops
that have recommended
tuning
 Tuning display filter will
only indicates loops with:
– Significant improvement in
variability (e.g., >20%)
– High model confidence
– Currently have high
variability


DeltaV InSight - Asset Monitoring
 Device Alerts are reported
through InSight Asset
Displays
 Overview provides graphical
display for Asset Alerts of
System, Area, and Modules Right-Click

 Asset Display identifies
Asset Alerts including:
– Asset Failed
– Maintenance Soon
– Advisory
– Communications Failed
 Easily Launch AMS Device
Manager in Context to
access detailed diagnostics


DeltaV InSight – Loop Tuning
Two methods of loop tuning are supported
 On-demand Tuning
– Steps control output
to identify tuning
– Same as old TUNE
 Adaptive Tuning
– No Testing
– Uses Process
Learning during
normal operations


DeltaV InSight - On-demand Tuning

● Used to tune PID
and fuzzy logic
control blocks
● Guides user through
tuning
- Set Step Size
- Test
- Simulate
● Same features as
old DeltaV Tune


On-Demand Tuning - Options for the Expert

Power for the
Advanced User !


DeltaV InSight - Adaptive Tuning
Provides Tuning Based on Normal Operator Changes

 InSight automatically
calculates dynamic
Before vs. After models from
operator changes
 Model Quality and
Learning Status
 Tuning criteria and
desired speed of
response
 Tuning
Recommendation
 No Testing Required


DeltaV InSight - Model Analysis
Gain Process Insight with Model Analysis

 Models automatically
stored in a model
database
 Various plot options
to analyze impact of
operating conditions
on process models
 Average of selected
models may be
utilized to establish
the recommended
tuning


DeltaV InSight - Control Simulation
Test your tuning with Dynamic Simulation

 Closed loop
simulation of
setpoint and
View Dynamic disturbance
Response changes for
recommended
tuning
Select New Tuning Simulation for both

Speed vs RobustnessAdaptive and On-
demand Tuning


DeltaV InSight – Adaptive Control
Non-linear Process Example
 Process gain and dynamics may change as a function of
operating conditions such as valve position or feed rate.


Non-linear Process Models


InSight identifies tuning in
up to 5 regions of operation


Adaptive control adjusts
tuning to improve
control performance


InSight Performance Reports
 Standard Out-of-Box Reports
– Quickly identify control problems
– Track performance, communicate results
– Schedule for automatic generation
– Easy, Easy, Easy
• No Configuration or Maintenance

 Customized Reports
– Add production KPI’s in customized
reports via Excel and DeltaV Reporter


Area Control Performance Report


DeltaV Fuzzy - As Easy to Use as PID

• Pre-configured Fuzzy
Logic Controller
• May replace PID for most
applications
• Improved response to
process disturbances
• Quick tuning with DeltaV
InSIght
• Configuration is Easy -
exactly like PID


Easy As PID…

DeltaV Explorer

Replace PID with
Fuzzy Logic Control


DeltaV Fuzzy Function Block

Pre-defined Fuzzy
Logic Control


Use DeltaV InSight to Tune Fuzzy Logic

Transfer recommended
constants to fuzzy control


Simulated Response


Fuzzy Logic Control vs PID
Setpoint Change Load Disturbance

FLC
FLC

PID
PID

FLC
FLC

PID
PID

Notice at both SP change and at load disturbance the FLC output change is more dramatic
than PID. Resulting in faster return to SP. Also notice as PV approaches SP, the FLC
exhibits less overshoot.


Fuzzy Control Results
 DeltaV “Fuzzy” pH Control: Tighter control of effluent pH results in 8% decrease in
amount of caustic used. Value = 720 GPD caustic; eliminated nuisance alarms

Before After
(using DeltaV PID) (using DeltaV Fuzzy)

Source: Emerson Exchange, October 2004
Shell Deer Park Paper

DeltaV Predict - Model Predictive Control

● Handles difficult process
dynamics, reduces variability
and protects constraints
● Easy and fast implementation
● Fully embedded, no
integration required
- Configuration
- Operator Displays
- Historian
● Scaleable, Practical Model
Predictive Control
● Optimizes process within
constraints


Model Predictive Control
Learns From The Past
To Predict The Future
Modeled
Relationship

Past Present Future


Multivariable Dynamic Process Models

The Model Consists Of Step
Responses That Show The
Relationship Between Every
Process Input And Output


Graphical Configuration

DeltaV APC blocks are “Drag-n-Drop”

Graphical
Configuration
using Control
Studio


Automated Step Testing

Process Steps


Process Model Displays


Individual Step Response View


Modifying Step Responses

Enter Step Response Constants


Model Validation


MPC Control Simulation


Automatic Operator Display

Trend Window

Past Future

Control Manipulated Constraint Disturbance
Variables Variables Variables Variables


APC Optimization

Often as simple as maximizing one variable to
its most limiting constraints…

Production
Throughput APC Increase $$
Throughput
at limit
Operator
Setpoint
Time

… but modern APC tools can do much
more if needed.


Built-in LP Optimization

100% position

100% position
Maximized
Minimized
Maximized
0% position

Profit
Energy
Throughput

0% position


Objective Function Configuration

Define multiple
operating modes

Select from list of
Set Max/Min
controller variables
and Price

Easy to set up and configure the
built-in LP Optimizer

Easily Select Optimization Mode

Select from list of
Optimization Modes


Optimizer Detail Display

Current
Values

Optimal
Values


DeltaV Neural – Property Estimation

● Create virtual sensors for on-
line measurements normally
only available through lab
analysis
● Easy to understand and use,
cost effective
● General nonlinear modeling
tool


Inferential Sensor Configuration

Lab Entry Block

Select Inputs


Select Neural Training Data

● Select training
set from historian

● Exclude bad data
segments

● Train the network


Training the Neural Network

Auto detection of
over-training


Sensitivity Plot, Input Selection


Validating Neural Models

Naphtha 95% Point Prediction

Neural Results – Naphtha 95% Point

SR Naphtha EP

380
375 Crude Switch
370
365 Lab
360 NN Prediction
355 Filtered
350
345
340
07-Aug-03 09-Aug-03 11-Aug-03 13-Aug-03
00:00:00 00:00:00 00:00:00 00:00:00


DeltaV Simulate

● Configure your DeltaV
system off-line on a single
PC
● Check out control logic and
operator interface using PC
simulation
● Provides multi-user, global
engineering and training
environments
● Easy integration with
dynamic process simulation
packages such as mimic


DeltaV Architecture
Control Design and Configuration
are Independent of Hardware

Distributed
Control
Functionality


DeltaV Control System Simulation
DeltaV Simulate Standalone
● All features of the control system may be
combined for execution on a single PC or
multi-node network.
● Plant configuration may be utilized in this
simulation environment with no change
in configuration.
Benefit:
Reduce Costs in
● Engineering

● Maintenance

● Equipment


DeltaV “Multi-Node” Control Simulation
Multi-Node Environment
Operator Station Professional Plus Application Station
● Simulation capability with
both virtual and real
controllers (controllers
optional)
● Provides global engineering
environment – Multiple
engineers on the same
development system
● Provides multi-user training
environment – Multiple
operators on the same or
parallel sessions


Process Simulator
via OPC
● Supports mimic Process
Multi-Node Environment Simulator running in DeltaV
Workstation
Application Station with
Operator Station Professional Plus mimic Simulator
App Station
● Supports Third Party
Process Simulators via
standard OPC



Multi-Node Environment
● Supports mimic Process
Simulator running in DeltaV
Operator Station Professional Plus Application Station Workstation
● Supports Third Party
Process Simulators via
standard OPC
● Supports I/O simulation and
Fieldbus emulation with
virtual I/O module and mimic
simulation

Process Simulator
With Virtual I/O
Module


Simulate Parameter for I/O Blocks
Using Simulated Process Inputs:
● All DeltaV I/O Blocks have a Simulate Parameter
● When Simulate is Enabled, AI blocks use the
SIMULATE_IN value for measured value
● SIMULATE_IN may be entered manually or from
process simulator

Field
Inputs


Process Simulation via OPC

Process Simulation
Packages are easily
integrated with DeltaV
Simulate via OPC.

OPC Read
of OUT

OPC Write to
Simulate_In

OPC
Client
Driver
Process Simulation

DeltaV Simulate Pro – Added Features
All inputs blocks assigned to a node
may be changed to Simulate Enable
or Disable, Setup or Normal mode
with a single request.
Save and Restore allows a snapshot
of control module parameters to be
created or restored.
Initialization of all dynamic blocks to
steady state with a single request.
Faster or Slower than real-time
Select the node(s) that you execution of all modules assigned to
want to access (ProPlus and a node.
App Stations only)

Simulate Pro is designed to coordinate
simulation and support replay.

DeltaV Simulate Pro – Entry Playback

Restore saved simulation
scenario

Playback operator entries
with simulation to re-enact
training session

View operator entries in
Event Journal

Make changes or skip
operator entries during
replay

Improve Training Effectiveness with
Playback of Operator Entries

DeltaV Simulate for SIS
 Simulate an entire
plant with both BPCS
and SIS simulation
together
 Simulate the same
SIS logic that is
implemented in the
plant
 Great for Operator
Training Systems
(OTS)
 Easier Factory
Acceptance Testing
(FAT) for projects


DeltaV Simulate -
Simulation Download Web Service
● Automatically synchronize DeltaV and MiMiC
● Reduce Engineering Costs
● Improve Simulation Accuracy


DeltaV APC on Legacy Platforms
Universal GUS
DeltaV
Station (US) APP Node
(Or PHD) ProPlus Station

OPC I/F

Option 1: Run APC
in Work Station
TDC3000
LCN
PLC Gateway
DeltaV
Controller
APM
HPM

Option 2: Run APC
IOPs
in controller
Serial I/F Options
Serial I/O
FTA


Example Predict Licensees
Total
End User Company MVs Purchase Date
Petrovietnam 60 Aug-03
Lucite International 40 Jan-02
Solutia, Inc. 60 Jun-98
Canadian Forest Products Ltd. 38 Apr-01
Baxter 32 Apr-01
Petrotel-Lukoil 30 Jan-04
Petrogal 30 Feb-05
BASF Corporation 25 May-04
Norske-Skog Canada 25 Jun-03
Flint Hills Resources, LP 20 Jun-04
Huntsman ICI 20 Oct-00
Husky Energy 20 Nov-04
Monsanto Company 20 Jul-03


Refinery APC Example

Ergon, West Virginia


Ergon Project Scope
 Atmospheric Crude and Vacuum Units
 2 Model Predictive Controllers – 4 x 4, 3 x 3
 3 Neural Networks
– SR Naphtha 95% point
– AGO 95% point
– Wax distillate 95% point


Main MPC
Control Icon

MPC Temp
Targets


Atm Controller Performance
Controller Crude
ON Change

CV
SP
MV
Lab
Spec
Naphtha Hvy Kero

Kero AGO


Atmospheric Column
Neural Network Predictions
Column Temps & Yields

TC
Predicted NA FC
FC

95%
Column Temps FC
Naphtha
& Yields Kero
FC
FC
Predicted AGO
95% Hvy Kero
FC
FC TC

Crude AGO
FC
Resid to VAC
Fuel Gas Column


Variability Reduction
Before After
Reduction in
Average St. Dev. Average St. Dev. Std. Dev.
Atm Column
SR NAPHTHA EP 349.55 14.89 347.10 4.30 71.1%
AGO EP 636.32 10.54 634.41 6.22 41.0%

OVERHEAD TEMP 253.18 5.01 260.91 1.80 64.1%
KERO DRAW TEMP 362.59 4.60 366.60 1.86 59.5%
HVY KERO TEMP 459.37 5.65 462.72 2.60 54.0%
AGO DRAW TEMP 528.14 5.60 530.77 2.55 54.5%

Vacuum Column
WAX DIST 95% POINT 934.36 12.28 933.78 8.56 30.3%

VGO CHIMNEY TEMP 358.58 7.32 365.74 3.23 55.8%
WAX VAP TEMP 542.47 5.99 599.50 2.29 61.8%
H WAX VAP TEMP 651.77 5.39 671.75 3.74 30.7%


Crude/Vac Unit APC Project Timeline
Activity Timeframe

Functional Design Specification 3 weeks

DeltaV APC Projects
Application Configuration are < 1 day
25-50% Faster and Less
Step Costly than traditional
Tests 10 days
APC Projects
Commissioning 1 week

Scope: Two 4x4 MPC controllers, 3 Neural Nets


Lime Kiln Project ~Canfor -
Northwood Pulpmill


Kiln Process MPC Application

TT AT DT
Lime Mud
PT
Cold
FT Feed
TT
End
TT
Hot
Fuel Flow End
Mud Filter
FT

Main Drive
ID Fan
Lime Product
Lime Kiln Process

Hot-end Temperature
(controlled)

Energy Flow Cold-end Temperature
(manipulated) (controlled)

ID Fan Speed Excess Oxygen
(manipulated) (controlled and constraint)

Lime Mud Flow Hood Draft Pressure
(optimized and (constraint)
disturbance)

Kiln Stack Emissions
(constraint)


Northwood Lime Kiln
DeltaV MPC Control Performance - Benefits

Average Specific
Average Lime Energy
Specific Average Product Standard % Time on
Energy Mud Flow Flow Deviation DeltaV MPC
(filtered) (filtered) (filtered) (filtered) Control
Period (GJ/t) (t/d) (t/d) (GJ/t) (Average)
Sept.3,2000 to Oct.15,2001 9.15 584.77 270.14 1.18
Sept.3,2000 to Apr.8,2001 9.62 571.70 264.10 1.34
Dec.17,2000 to Apr.8,2001 8.78 593.64 274.24 1.20
DeltaV Sept.3,2000 to Jan.7,2001 10.20 560.49 258.92 1.43
Oct.15,2001 to Jan.8,2002 8.22 688.13 317.89 0.14 97.60%
MPC
Operator
Reduced Increased Reduced
Confidence -
Specific Lime Variability
97.6% UPTIME!
Energy Production 89.5%
7-20% 16-20%
(0.56 - 1.98 GJ/t)


Northwood Lime Kiln
DeltaV MPC Control Performance- Benefits

DeltaV MPC %Reduction
Before Control Control in Variability
Hot-end Temperature
variations (2-sigma)
Deg C 134.86 18.46 -86.3%
Cold-end Temperature
variations (2-sigma)
Deg C 43.9 8.12 -81.5%
Excess Oxygen
variations (2-sigma) % 1.9 0.18 -90.5%
Specific Energy
Variations (2 sigma)
GJ/t 2.96 0.28 -90.5%

Tight Control on
DeltaV MPC!


Baxter MPC Distillation Column Control
Condensers Vent Pressure and
Temperature

PT TT

Reflux (Return) Flow
PI TI
FT FI FIC

RSP
FT

+ Takeoff (Distillate)
Flow

TT TI

Mid Column
Temperature

Column CV 1 MV 1 RTO
CV 2 (OPTIM) MV 2
AV 1
AV 2
MPC
EU/
TT TI DV
SEC

Bottom Column
Temperature

RSP
XIC
Boilup

Steam

Reactor


Quantified Business Results
Noel Perez – Baxter de Puerto Rico
 For the batch distillation process, the time to complete a
cycle has now been reduced by an average of 3.35
hours.
 This is a 20% decrease in batch time which resulted in a
throughput increase of 5.4%.
 This production increase equates to annual incremental
revenue of just over US$2 million for this unit alone.
 Incremental production at this rate could defer the
requirement to add capacity through plant capacity
expansion.
 The capital expenditure that would have been required to
provide this additional capacity is approx US$5MM


Learning More About DeltaV
Advanced Control
 Book was inspired by DeltaV
Advanced Control Products. This
book is available from ISA or may
be ordered at
EasyDeltaV.com/Bookstore
 The application sections include
guided tours based on DeltaV
Advanced Control Products
 CD provides an overview video for
each section and examples. Copies
of the displays, modules, and
Simulation Cases are included.


Summary
 Advanced Control Improves Operational Excellence
– Improved Product Quality
– Increased Process Throughput
– Reduced Operating Costs
 DeltaV Integration Improves Efficiency and Reliability
– Uses common database, operator interface, configuration tools,
and simulation environment
– Access to Field Device Health improves reliability
 DeltaV Embedded APC is Cost Effective
– Faster implementation
– Sustained Performance
– Fewer Consultants Needed


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