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© Copyr i gh t 2014 O SIs o f t , LLC .
Presented by
Using the PI System
to Aggregate,
Analyze, and
Visualize Data
Robert A. Lane
© Copyr i gh t 2014 O SIs o f t , LLC .
Agenda
• Intro– Speaker, Hanford, WRPS
• Problem
• Solution
• Challenges/Results/Benefits
• Services
• Conclusion/Summary
• Thank you/Q&A
2
© Copyr i gh t 2014 O SIs o f t , LLC .
Robert A. Lane
• Software Engineer and Computer Analyst for WRPS.
• Process Software Engineering (PSE) group since August, 2011
• Functional roles: Project Manager, Software Engineer, Software Developer, DBA, and Systems Analyst.
• Previous Experience on the Optics Suspensions Team as a Testing Engineer, Quality Assurance, Parts Inspection, and Technical Writer for the Laser Interferometer Gravitational-wave Observatory in Richland, WA
• Electronics Engineer and Assistant Project Manager at NASA Ames Research Center for the SOAREX and ATROMOS missions.
3
© Copyr i gh t 2014 O SIs o f t , LLC .
The Hanford Project
4
• 586-square-miles of shrub-
steppe desert in Southeastern
Washington State.
• Started in 1943 in support of the
Manhattan Project.
• Hanford became one of the
leading producers of Plutonium
during its operation, including
the Plutonium used for the first
nuclear blast and the Plutonium
used in World War II.
© Copyr i gh t 2014 O SIs o f t , LLC . 5
Washington River Protection Solutions (WRPS) is
committed to the safe and efficient management,
retrieval, and treatment of Hanford’s Radioactive
and Hazardous Tank Waste, which poses a threat
to the nearby Columbia River.
A contractor to U.S. Department of Energy
Office of River Protection
© Copyr i gh t 2014 O SIs o f t , LLC .
Hanford Tank Farms• B-Reactor continued Plutonium
Producing Operations until 1987
• Hanford began a shutdown,
deactivation, maintenance, and clean-
up operation of the entire site in 1991.
• WRPS’ role in the Hanford Mission is
the operation and maintenance of the
Hanford Tank Farms
• The Hanford Tank Farms are made
up of 177 underground tanks that
store 56 million gallons of radioactive
and chemical waste.
6
© Copyr i gh t 2014 O SIs o f t , LLC .
Tank Farms Going Operational, again
• Ended production operations (circa 1991)
– Mission: Store and Maintain Waste Tanks
• Taking the next step towards cleanup
(circa 2009)
– New Mission: Feed the Waste Treatment Plant (WTP)
in 2019
7
© Copyr i gh t 2014 O SIs o f t , LLC .
Going from Maintenance….
• Geographically Isolated Systems
– Each with their own Control System
– Each with their own “Plant Historian”
• Separated and disconnected data systems
scattered throughout the site
• Network isolated repositories
• Most data entered manually
8
© Copyr i gh t 2014 O SIs o f t , LLC .
Going from Maintenance Cont.Effects of Disconnected Systems
• Disconnect between Teams
• Disconnected Operations
• Potential for Conflicting Operations
• Break in Information and Awareness
• Reliance on Procedures: Operations and Safety
9
© Copyr i gh t 2014 O SIs o f t , LLC .
Going from Maintenance Cont.Effects of Manual Data Entry
• Manual Transcription
– Incompatible interfaces
• Manual Rounds
– Unconnected systems
10
• Issues with Manual Data– Mountains of data
– Daily entered Weekly
– Legibility• Hand Writing in the field
• Writing with PPE
• Error Prone– Transcription Errors
– Interpretation Errors
© Copyr i gh t 2014 O SIs o f t , LLC .
Where are you?
• How are you able to make a decision when you don’t have all of the information?– To generate a single report requires retrieving data from
multiple databases with different interfaces and data schemas.
– The time it takes to generate a report means the information may be out of date
– If the information is manual, it may not “exist” yet
– The accuracy of error prone data is unknown
11
© Copyr i gh t 2014 O SIs o f t , LLC .
• Answer: You cannot make an informed decision,
or by definition, the decision is uninformed
12
You are not here
© Copyr i gh t 2014 O SIs o f t , LLC .
How do you make a facility production-
ready that has only been performing
maintenance for 20+ years?
13
© Copyr i gh t 2014 O SIs o f t , LLC .
My Mission and Vision
• Mission
– Cast the Vision for Automation and Information
Management for the Company … present the
information you need, when you need it, wherever
you need it.
• Vision
– Collect company data, package it as information, and
present it for timely and efficient decision making.
14
© Copyr i gh t 2014 O SIs o f t , LLC .
SOLUTION = PI SYSTEM
• Replace obsolete custom-developed solutions
• Upgrade existing interfaces
• Add any unconnected systems
15
© Copyr i gh t 2014 O SIs o f t , LLC .
Limitations of Aging Systems
• Vendor no longer exists
• Outdated and unsupported operating systems
• Outdated and unsupported hardware
• No source code
• No reading context– When was the reading actually recorded?
– How long has this reading been this way?
– Was it changing?
– Alarm and/or Event information?
17
© Copyr i gh t 2014 O SIs o f t , LLC .
Initial ArchitectureWhere we started
18
TFLAN
Firewall
702AZ
TMACS
SACS
TWINS
ABCASH
HMS
LOW
Evaporator
Ad Hoc
Continuous
Connection Legend
Evaporator
Firewall
SDDS
222S Labs
W314SY Ventilation
and Exhaust
1/10 min1/10 min
1/day
1/dayManual upload
1/10 min
Manual
Rounds
Manual Transcription
Industrial
Health
© Copyr i gh t 2014 O SIs o f t , LLC .
Legacy Systems
• Surveillance Analysis Computer System (SACS)– Long Term Archival, Stores one point per sensor per day
– Great For• Seasonal Trends
• Slow Leak Detection
• Measuring Evaporation Rate
• Surveillance Data Display System (SDDS)– Stored for 30 Days, Stores one point per sensor per 10 minutes
– Great For• Current Value
• Actively Changing Processes
• Operation Progress
19
© Copyr i gh t 2014 O SIs o f t , LLC .
Going From Maintenance to Productionwith Legacy Systems
• Multi-Project 24/7 Operations
– Examples
• Transfer
• Recirculation
• Evaporator Reduction of Waste
– Would it show a record?
– How to distinguish which operation is causal?
20
© Copyr i gh t 2014 O SIs o f t , LLC .
Safety
Significant
Wireless
Current Architecture
22
TFLAN
Firewall
Tank Farms
MCS
HLAN
TMACS*
PI ServerTWINS
ABCASH
HMS
LOW
Evaporator
MCS
Evaporator
Firewall
Industrial
Health
Ad-hoc
Continuous
Connection Legend
Planned Future
Expansion
222S LabsVentilation Control
SLAN
Firewall
HOBO*
Public
Firewall
eSOMS
* To be consolidated at a later date
© Copyr i gh t 2014 O SIs o f t , LLC .
PI System – System Architecture
23
HOBOLink
242A
FIREWALL
242A
HLAN
TFLAN
FIREWALL
PI Network Enclave
PI
FIREWALL
TFLAN
TFMCS Primary
Information
ManagerPI OPC
Interface
TFMCS Secondary*
Connectivity
ServerPI OPC
Interface
PI Server
Collective
(2 Servers)*
PI AF
SQL Server
PI ACE
PI Manual Logger
Failover Communication
HLAN Users
with PI
DataLink & PI
ProcessBook
ABCASH
HMS
LOW
TWINS
HOBO
PI OPC
Interface
PI SystemSystem Architecture
Robert Lane
March 17, 2014
Version 1.5
PI SystemSystem Architecture
Robert Lane
March 17, 2014
Version 1.5
PI WebParts and
DataLink
(SharePoint Server)
PI Interface
Management
TMACSEvaporator
* High Availability may not be implemented due to data center availability requirements by LMSI
eSOMS
HLAN
FIREWALL
PI Coresight Web
PI Notifications
© Copyr i gh t 2014 O SIs o f t , LLC .
Challenges
• Concurrent Product Updates
• Work Control Process Resource Availability
• Interfacing with ABB Ind. IT 800xA 5.1
• Multiple input networks
• Multiple naming and data formatting conventions
• Development Network
25
© Copyr i gh t 2014 O SIs o f t , LLC .
Concurrent Product Updates and/or
Consolidations
• Distributed Control System
• Enterprise Data Historian
• Work Control and Equipment Maintenance
• Document Control
26
© Copyr i gh t 2014 O SIs o f t , LLC .
Work Control Process Resource Availability
• Interface/Source System Engineer Availability
• Interface Schedule/Work Plan Availability
• Technical Support
– Third Party (LMSI)
– IIS, VM, DBA, Data Center Architects
27
© Copyr i gh t 2014 O SIs o f t , LLC .
Challenges
• Concurrent Product Updates
• Work Control Process Resource Availability
• Interfacing with ABB Ind. IT 800xA 5.1 (ongoing)
• Multiple input networks
• Multiple naming and data formatting conventions
• Development Network
28
© Copyr i gh t 2014 O SIs o f t , LLC .
Multiple input networks
29
Data Source Source Architecture Interface Methodology Source Network
Evaporator NovaTech D/3 DCS PI Interface for GSE D/3 DBA ELAN
222S Labs Johnson Controls BACnetPI Interface for Building Automation and Control
Network (BACnet)SLAN
TFMCS ABB Industrial IT System 800xAPI Interface for OPC DA, PI Interface for OPC
HDA, and PI Interface for OPC AETFLAN
HOBO OnSet HOBO Data Loggers Web Service and PI SDK WWW
ABCASH SQLPI Interface for Relational Database (PI RDBMS
via ODBC)HLAN
TMACS SQL PI RDBMS via ODBC HLAN
eSOMS Ventyx eSOMS PI Interface for OPC HDA HLAN
Industrial Health SQL PI RDBMS via ODBC HLAN
TWINS (Output) SQL/.NET PI OLEDB Provider and PI SDK HLAN Enclave
HMS Flat FilePI Interface for Universal File and Stream Loading
(PI UFL)HLAN Enclave
LOW Flat File PI UFL HLAN Enclave
© Copyr i gh t 2014 O SIs o f t , LLC .
Multiple naming and data formatting conventions
Naming Standard:
Farm Location–System–Component–Identifier
A101-WST-LIT-106
Found:
A01-WT-LT-06
A101-LI-R016-106
A101-WST-LIT-101-06
A01/R16/ENRAF
30
U103-WST-TE-101
U03-WT-TT-01
U103-TI-R019-01
U103-WST-TI-116-01
SP1/Riser19/J Type/TC1
© Copyr i gh t 2014 O SIs o f t , LLC .
Challenges
• Concurrent Product Updates
• Work Control Process Resource Availability
• Interfacing with ABB Ind. IT System 800xA Ver. 5.1
• Multiple input networks
• Multiple naming and data formatting conventions
• Development Network
31
© Copyr i gh t 2014 O SIs o f t , LLC .
Results and Benefits
• Productivity (Less time collecting data and more time analyzing)
• Visibility (Easier to get data in front of a decision maker)
• Data Integration (Single Data Repository for all surveillance process data and related info)
• Security (Independent User Access Control)
• Reliability (VM Solution, more stable interfaces)
• Compliance (Easier to verify compliance of data from an automated interface with acontrol system vs. manually collected field readings)
• Quality (Reduced opportunity for human errors)
• Scalability (Not limited by database size, report processing time, or data retrieval
limits)
• Availability (Ubiquitous access)
• Maintainability (Independent Reporting System, Asset Structure, and Data hierarchy)
• Extensibility (Supports collectives and cross firewall communication)
• Expandability (Ease of adding tags or interfaces)
32
© Copyr i gh t 2014 O SIs o f t , LLC .
Intangible Benefits
• Widely accepted and applauded by decision makers
and end-users alike
• Reduced developer costs
• Reduced time per development/upgrade lifecycle
– Simplified Requirements
– Simplified Documentation
– The scope of a change is proportional to the impacts of the
change
33
© Copyr i gh t 2014 O SIs o f t , LLC .
Future Plans and Next Steps
• Finish additional data interfaces– Develop an interface with TFMCS (ABB Industrial IT 800xA DCS)
– Develop the more complex interfaces
• Finish Development Network Infrastructure
• Develop new Reporting System (using SSRS and PI Data Access)
• Develop PI Notifications
• Develop PI Event Frames using PI Event Generator
• Finalize the PI Asset Framework database structure
• Import the remaining legacy data
• Install PI Server Collective– Install the Secondary PI Server on independent data center
34
© Copyr i gh t 2014 O SIs o f t , LLC .
OSIsoft Services
• Field Service
– PI System Installation
– Configuring PI Interface for OPC
DA, OPC HDA, and OPC AE
• TechSupport
– Phone
– Online
• OSIsoft vCampus
• Enterprise Client Licensing
35
• Training
– Instructor led in San Leandro, CA
• PI System Administrator for IT
Professionals
– Instructor led on-site
• Building PI System Assets and
Analytics with PI AF
• PI Advanced Computing Engine
• Visualizing PI System Data
– OSIsoft YouTube Learning
Channel
© Copyr i gh t 2014 O SIs o f t , LLC .
ConclusionFrom Maintenance to Production
• How do we get from maintenance to production
operations with a decades long technology gap?
• By providing a Best-In-Class solution to enable
informed decision making.
36
© Copyr i gh t 2014 O SIs o f t , LLC .
Conclusion Cont.
• A Best-In-Class Solution– What
• Gathers related data
• Supports understanding the problem
• Provides information to make technically sound decisions
– How• Ensure that we have the right information
• Ensure the information is current
• Ensure the users have available access
• Ensure the users can find the information
– Why• To keep the environment, our fellow workers, and the public (our families)
safe
37
© Copyr i gh t 2014 O SIs o f t , LLC .
• Widely accepted and applauded
by decision makers
• Increased visibility and
availability of information
• Ubiquitous access to process
data
• Reduced time per
development/upgrade lifecycle
Solution Results and Benefits
WRPS: Using the PI System to
Aggregate, Analyze, and
Visualize Data
Business Challenge
• Disconnected and
geographically isolated control
systems, data sources, and
data repositories
• Information for decision making
not available, difficult to retrieve,
or only in printed summary
• Site-wide upgrade effort to
support and supply waste to the
Waste Treatment Plant
• Bring all Information Systems
into a Consolidated Central
Enterprise Historian using the
PI System
Upgrading from decades-old custom-developed solutions
presents many growing pains and challenges that require
innovative solutions to solve. Integrating numerous
custom and COTS standalone solutions to a PI System
Solution allows for a central data repository enabling
levels of analysis, information, and data availability that
were not previously possible.
38
© Copyr i gh t 2014 O SIs o f t , LLC .
Robert A. Lane
• Software Engineer/Computer Analyst
• Washington River Protection Solutions
a contractor to the U.S. Department of Energy
39