Semantic Modeling atSemantic Modeling atSempra Utilities:

Creating a Common Information Foundationg

CIMug October 2010October 2010

Angela White-Parker, IT Project Lead

© 2005 San Diego Gas and Electric Company and Southern California Gas Company. All copyright and trademark rights reserved

Sempra Energy Utilities

Southern California Gas Company - 6,600 Employees

• 5 6 million natural gas meters5.6 million natural gas meters• 23,000 square miles, from San Luis Obispo to the Mexican border and 535 cities.

• USA’s largest natural gas distribution utility

• Serving over 20 million consumers in 20,000 square mile service territory

California

g , q y

San Diego Gas & Electric - 4,500 Employees

• 1.4 million electric meters & 800,000 natural gas meters

Southern CaliforniaGas Company

, g• 4,100 square miles, covering two counties and 25 cities.

• Serving 3.4 million consumers in San Diego region

San Diego Gas & Electric

Combined Utilities

• Regulated by the California Public Utilities Commission

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Key Business Efforts

SDG&E Smart Metering program • Meter installations began Q4 2008

• Mass deployment nearing completion

SCG AMI program SCG AMI program

• Approval granted, will touch 5M meters

Sunrise Power link 500 kV

OpEx 20/20 Initiative

• Field Force M&I and Construction work• OMS/DMS/GIS CBM A t M t• OMS/DMS/GIS, CBM, Asset Management

SmartGrid Initiatives

• Gridcomm, HAN, Regulatory planning responses, …Gridcomm, HAN, Regulatory planning responses, …

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Enterprise Information Management Key Business Driver

Requirement to Share Information• Creating a shared structure and terminology involves an upfront investment.Creating a shared structure and terminology involves an upfront investment.

• Simplify integration, increase interoperability and most importantly expose the information the business manages.

ProvisioningBillingCRM1 CRM2

ProvisioningBillingCRM1 CRM2Provision

-ingBillingCRM1 CRM2

Common Data Model

P t

Inventory TTCall

Center

DataW/house Inventory TT Call

CenterData

W/house Inventory TT CallCenter

C t F tPast Current FutureNo one can figure outWho is talking to whom?

Great! You are using SOA but,Can we reuse this investment?

We know what investments we havemade in automating the business andwe know what we can reuse to buildfuture applications cheaper

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future applications cheaper.

4

Enterprise Architecture Group has Identified EIM as a key going forward domainforward domain

A

Data Integ

Data M

anag

Analytics and PM

anageme

Data Acqu

Informat

Deliver

Enterprise C

Managemgration

gement

erformance

ent (BI)

isition

ionand D

ata Go

ry and Implem

e

Content

ment

Information Modeling

Data Quality

Metadata Management

Master Data Management

Data Standards, Guidelines, Methodology

overnance

entation

Database ManagementThe Information Management team is a key enabler of this commitment and provides leadership in the strategy and

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provides leadership in the strategy and adoption of these capabilities for major projects and across the Enterprise.

Information Management Concentrations…to date

Data Integration: Domain for the alignment of data E

g

Data

Data M

Analytics a

Mana

Data

Info D

interactions among various integration scenarios such as web services, EDIX, ETL. Links to business process information exchanges.(internal and external)

Enterprise C

oIntegration

Managem

ent

and Perform

angem

ent (BI)

Acquisition

ormation and

Delivery and

ontent Managnce

M d M

Data Standards, Guidelines, Methodology

Data G

overn

Implem

entatio

Information Modeling: Semantically reconcile and model information exchanges, integrations and

ti f th E t i D tem

ent

Information Modeling

Data Quality

Metadata Management

Master Data Management

ance

on aggregations for the Enterprise. Document transformations, link to an enterprise model, create enterprise models to support different consumers from transactional to BI.

6

Database Management

Semantic Modeling Information Efforts: Background

Vision:Provide a common view of enterprise dataUnderstood by business as well as technical usersEnable a common vocabularyEnable a common vocabulary

Realities:Challenging to understand … needs to be “summarized”

Need business involvementNeed diverse IT involvementNeed diverse IT involvementThe results must be easily understood

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Project Goals & Objectives

Goals:

Create broad communication of Information Assets (Awareness)

Facilitate discussions of what is being captured for validation (i.e. in-use and planned) (Understanding)use and planned) (Understanding)

Support different “views” of Sempra Information Model. (Management)

Objectives:

Deliver a consistent enterprise approach for modeling & metadata

Develop a baseline integrated EIM solutionDevelop a baseline integrated EIM solution

Enable the ability to exchange data in a consistent manner

Leverage external as well as internal standardsg

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Why is this important?

Enables ownership, responsibility and accountability for the improvement

Why is this important?

of data quality and information accuracy and consistency

Establishes and promotes a single version of truth for data over time.

Reduces the number and effort of integrations over time

Enables the control of unnecessary data duplication and proliferationy p p

Improves data quality, consistency, availability, and accessibility over time.

Maximizes the return on investment in SOA technologiesMaximizes the return on investment in SOA technologies

Needed for Smart Grid deployment objectives (industry-accepted inventory

of terms and definitions)

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Influencing factors in Information Standards

Industry standards, best practices, and frameworks were reviewed to evaluate their value and applicability.

Results:• Evaluate and reference relevant industry

standards or open models:– IEC TC57 CIM Coordination

WG19

OpenApplication

Group

TC57WG9

DistributionW3C

UCA : User groups

MultiSpeak(NRECA)

MultiSpeak(NRECA)IEC TC57 CIM

– NRECA MultiSpeak– OGC GML– PODS

O

WG14DMS

WG19

WGs 10Substations

WG7ControlCenters

Feeders

EPRI

CIM/61850 WG17

WG18

(NRECA)(NRECA)

– Open ADE (automated data exchange)

• Adopt Model-Driven principles and approach for information modeling, management and services. Look for references in MDA and SOA standards

OLEProcessControl

WG13EMS

EPRIUCA2ProjectEPRI

CCAPIProject

ebXMLObjectMgmt.

WG16CIM

SOA standards.• Adopt semantic data modeling approach for

enterprise information model development.• Adopt a SOA reference model for data and

i f ti hit t d t

(OPC)Mgmt.Group OASIS

information architecture and management.

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IEC-CIM to SIM (Sempra Information Model)

Model Development Steps and Phase Deliverablesp p

Requirements Design Construct/Build

Reference Base Model ( )

Reference Base Context(Native Model)

Work StreamNative

Implementation Model ( )

NativeXML Schema

(XSD)Reference

ModelRICEFRICEF

“I”

RICEF“I”

Sempra

Mapping

SpecificationsIndustry & Sempra

InformationModel(SIM)

InformationArchitects

Implementation Model

Semantic Base Context

XML Schema (XSD)

Industry & Sempra

Standard Models

(i.e. IEC-CIM)

ServiceDesign Team

Service Design ContractService

Identification

ServiceIdentificationRefinement

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Refinement

Information Management is a team effort…

Enterprise focused….Information Architects• Facilitate cross-domain discussions and groups• Facilitate cross domain discussions and groups

• Maintains Enterprise Views

• Incorporates industry standards

• Maintains data ownership roster

Smart Meter OpEx

• Maintains data ownership roster

• Maintains master data and metadata strategy

• Key EIM enablerOther

(Dynamic Pricing;VMS2)

Gas AMI

Business Domain Focused…Application Data Architects• Assists in developing Enterprise Model for domain

• Can speak on behalf of Data Owner of subject area

• Project(s) data architect

Managing how key information is exchanged regardless of the IT ApplicationApplication.

Smart Meter OpEx

Other (Dynamic

Pricing;VMS2)

Gas AMI

What is our approach?

Subject areas are defined as: A related group of data

“summarized” from the detailed Sempra Information

Sempra Information Model (SIM)

summarized from the detailed Sempra Information

Model (SIM). Development of subject areas are needed

in order to quickly understand and manage the SIM.

What does the SIM contain?

Example Subject Area

What does the SIM contain?

Defined as data passed around the Enterprise.

Industry Standard Utility Modeled data.

What is the value of the SIM and Subject Areas?

Use common data exchanges in SOA payloads to

reduce software development costs. Consumer A li ti Provider

RICEreduce software development costs.

Quickly assess data/information scope of projects in

order to facilitate reuse opportunities.

Application

Consumer Application

Consumer Application

ProviderApplication

ProviderApplication

F_I Requiremen

ts

EMF

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Subject Area Levels

Level 0 - These are the Enterprise Subject AreasLevel 0 These are the Enterprise Subject AreasUseful Overview for Management and Business UsersStarting point to understand the contents of each Subject Area

Level 1- This next level of detail is one specific Subject Area –Work. Represents main related subject areas and Entity

Groups. This level is useful for deciding if you need the semantic models in the next level to design new applications and interfaces

Level 2 - Here you can see the Semantic Model for the Subject area as well as the Metadata Entity Definitions Metadata Entity Definitions

There may be additional levels of detail below that can be displayed, for each attribute

Metadata Entity Definitions

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Major Information Subject Areas – Level 0

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Relationships – Level 1

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Work Subject Area Data Life Cycle View

Subject Area Management / Governance

Enhance and maintain the subject area models and ensure that it is easily j yaccessible by those that need the information.

Ensure that we are treating information as a shared business asset

Collaborate with the following groups to ensure the validity and integrity of its contents:

• Data Owners and Stewards

• IT Data Architects

• Data Warehouse

• Business Process Owners

• Others?

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• Others?

Have We Arrived?

No, but our Vision is much clearer…Our roadmap:

S t D t G i iti tiSupport Data Governance initiative

Acquire Metadata tool to extend subject area portal

Develop Master data management for subject areasDevelop Master data management for subject areas

Assess emerging information ‘standards’ affecting Smart Grid objectives

Enterprise Information Management Models evolves incrementally and iteratively. It’s a journey, rather than a destination.y j y

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