Transcript Plant Information Model (PIM)

Plant Information Model (PIM)
Breakout N1 – (1:00pm – 2:30pm), Monday, June 16, 2014
Russell Adams – EPRI Consultant
Laurent Perkins, Bentley
Kent Freeland, PK Energy
Breakout Topics
•
EPRI Plant Information Model (PIM)
•
Industry PIM Team Initiatives
•
Other Industry Initiatives – Harmonization
•
Data-Centric CM and Asset Information
Management Initiative
•
Knowledge & Sharing
EPRI Plant Information Model (PIM)
•
Evolving open source standard for information
handover/turnover
• Standard Handover Framework
• Configuration Management (CM) Taxonomy and Relationship
Traceability Frameworks
•
Eighty (80) percent usable for implementation of
world class CM and Information Handover Solutions
Industry PIM Team Initiatives
•
Standard Handover Framework
• FCI Types / Doc Types
• Properties / Attributes Data Dictionary
•
Configuration Management (CM) Taxonomy and
Relationship Traceability Frameworks
• CM Taxonomy
• Defined Relationships
Other Industry Initiatives - Harmonization
•
NIRMA - Nuclear Information & Records Management Association
• Technical Guidance Document on Turnover of Records and
Incremental Handover of Information for New Nuclear
Power Plant “The What”
•
FIATECH
• ISO 15926 Information Patterns (IIP)
• Harmonizing Equipment Data (HEED)
• Equipment Data and Conformance (EDRC)
•
Other Industries
Data-Centric CM and Asset Information
Management Initiative
EPRI Plant Information Model (PIM)
is part of this Initiative
Data-Centric CM and Asset Information
Management Initiative Approach
•
Benchmarking
• 9 Operating Nuclear Plants
• 2 New Build Nuclear Plants
• 3 International New Build Utilities
• 3 Large High-Tech Data-Centric Non Power Industries
• 4 Solution Providers
• National Institute of Standards and Technology (NIST)
Data-Centric CM and Asset Information
Management Initiative Approach (cont.)
•
•
•
Validate the costs to build a data centric model with
different end states based on industry best
practices
Use benchmarking to define the opportunity for
savings and validate against other industry studies
and experience
Create a Probabilistic Investment Model and
validate results
Data-Centric CM and Asset Information
Management Initiative Approach (cont.)
•
•
Prepare Use Cases based on different plant current
states and desired end states
Independent Expert Panel that provides input on the
model and challenges the assumptions.
Data-Centric CM and Asset Information
Management Initiative Discovery
•
•
•
Decisions are made on data, not documents. Data
must be centralized, accurate, change controlled,
and easily accessible.
A “data-centric” CM system will provide a variety of
plant activities with reliable, controlled data – the
“single source of truth”.
Need to define the cost of installing and maintaining
a data-centric system from different starting points.
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
•
•
Need to define both the “hard” and “soft” savings
that a data-centric system has on the cost of
operating and maintaining the plant.
The model accounts for the benefit of data
accessibility used by Engineering, Licensing,
Procurement, Operations, and Maintenance.
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
•
Potential End States – Each State Builds on the Prior State
1. Electronic Document Centralization
2. Documents -Tags Cross Referenced
3. Data Centralization
4. Relationship Model
5. 2D/3D Model Integration with data model
6. 2D/3D Model Authoring Tool Integration
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
1. Electronic Document Centralization
 Master Document List (MDL) – “Critical Documents” in
electronic format; all documents indexed in a centralized
document control system
2. Documents -Tags Cross Referenced
 Expand Master Equipment List (MEL) to include other tag
types (piping components, cable #s, weld #s, relays, etc.)
 Cross Reference Tags to Critical Documents
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
3) Data Centralization
 Centralize siloed databases with the MEL Database
 “Mine” and validate other mission critical data contained
in documents
4) Relationship Model
 Major Transition requiring moving from a “Tabular” data
structure to an Object-Relationship data structure
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
4) Relationship Model (cont.)
 Major Transition requiring moving from a “Tabular” data
structure to an Object-Relationship data structure
Benefit:
Ability to build a lifecycle data model that relates
licensing requirements to design to procurement to
installation to O&M.
Ability to perform lifecycle impact reviews if anything
is changed in the relationship “Chain”
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
4) Relationship Model (cont.)
 Major Transition requiring moving from a “Tabular” data
structure to an Object-Relationship data structure
The Relationships build Knowledge into the data
structure by relating:
Licensing Requirements to Design Documents
Document Design Outputs to Document Design
Inputs
Design Requirements to Asset Tests and Inspections
Data-Centric CM and Asset Information
Management Initiative Discovery (cont.)
5) 2D/3D Model Integration
 Identify areas to be modeled and maintained
 Create ability to view models
 Hot Spot Tags for accessibility to data model
6) 2D/3D Model Authoring Tool Integration
 Ability to conduct engineering design and analysis from
the models and update data
Knowledge & Sharing
•
SHARE and LEARN the WHAT, HOW and WHY
• Facility Configuration Information (FCI) Management and
Handover and/or Turnover during Major Projects
• Handover is the transfer of “approved-for-use” information
from an Engineering Procurement Construction (EPC) or
Consortium entity to the Owner/Operator for use in preoperational readiness activities.
• Turnover is the official transfer of “as-built” and final
information from an EPC or Consortium entity to the
Owner/Operator for use in the operation and maintenance of
the operating unit.
Knowledge & Sharing (cont.)
•
SHARE and LEARN the WHAT, HOW and WHY
• Information sets that are or would be part of Multidimensional Data Models and MEL databases, as well as
traditional drawings, documents and records to help
move the industry from a purely document-centric FCI
model to a hybrid data-centric / document-centric
approach.
Knowledge & Sharing (cont.)
•
Owner Operator Questions
• What have been your key successes (processes,
procedures, strategies, automation) with respect to
Handover and/or Turnover information exchange in
support of Startup, Operations and Maintenance?
• In recent major projects, how did you get information
delivered to you and when was it delivered?
• What would you change for future projects to improve
information exchange?
Knowledge & Sharing (cont.)
•
EPC, NSSS or Vendor Questions
• What have been your key successes (processes,
procedures, strategies, automation) with respect to
vendor and contractor Handover and/or Turnover
information exchange in support of Engineering,
Procurement, and Construction?
• In recent major projects, how did you deliver information
to the owner and when was it delivered?
• What would you change for future projects to improve
information exchange?
Questions
Thank You
Contacts
Russell Adams
Laurent Perkins
Kent Freeland
[email protected]
[email protected]
[email protected]