Innovation around the PI System: Paris Water Supply€¦ · DataViz WEB API Analysis Archive Search...
Transcript of Innovation around the PI System: Paris Water Supply€¦ · DataViz WEB API Analysis Archive Search...
© Copyr i gh t 2014 O SIs o f t , LLC .
Presented by
Innovation around
the PI System:
Paris Water Supply
Mahyar SEPEHR
© Copyr i gh t 2014 O SIs o f t , LLC .
Major Transformation Program
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(A few initial objectives) – Design Next Generation Smart Services
• Water Traceability
• Smart Metering
• Leaks Detection
– Reduce environmental impact
• Reduce electricity consumption
• Reduction CO2 emission
• ISO 50001
© Copyr i gh t 2014 O SIs o f t , LLC .
Major Transformation Program
Continuous improvement strategies
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Production
Distribution
Water Quality
Customer RelationshipManagement
Reporting
Risk Management
To create synergy between processes
Un-compartmentalizeAllow more data exchange
Promote transparency Allow Real Time Decision-making
Better monitoring capabilities
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When we started the project, we asked ourselves:
Who are we?
What can we do to enhance our user experience?
How can we do it better than anyone else?
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1. Who are we?
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We serve water
3 water treatment plants
10 000 kilometers of pipeline
1 000 000 cubic meters of water pumped daily!
5 million customers
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But who are we really?
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We come from different industries
We all have different operations,
but… We all have the same needs!
What we all have in common : Data
It might come from anywhere… in many forms…
We need to manage it, secure it, store, add context, analyse, monitor the data
The key factor is the Volume
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In this
conference
today
Our subject is about … Big Data - but why Big Data?
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Every day, we process in our workflow:
7 Gigabytes of data
8.4 Million text lines
20 types of sources in real-time!
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Create
synergy
Who uses our data?
• Field Engineers
• Water Engineers
• Data Scientists
• IT Department
• Managers
• And most importantly:
people who consume water
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Production
Distribution
Quality
Customer Relationship
Management
Reporting
Risk Management
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2. What can we do to
enhance our user
experience?
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We needed to build something
Fast yet flexible
Smart yet simple
Effective yet intuitive
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To allow
Real-time integration of large volumes of data from a
variety of sources
Actionable Information with bulk calculations across
various data sets
Real-time decision-making provided at any time and
anywhere with mobile and web applications
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3. How can we do it
better than anyone
else?
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Real Time Big Data
Management
DataViz
WEB API
Analysis
Archive
Search
Interface
Data Sources
Context
Information Service
AGGREGATE
CONTEXTUALIZE
ANALYZE
VISUALIZE
PROPAGATE
REAL-TIME DECISION MAKING
Risk Quality Plant Distribution Customer OpenData
GIS Co
ntin
uo
us
Imp
rov
em
en
t
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Delivery
Analysis
Integration
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Monitoring
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Integration : custom interfaces to
provide high-performing volume data
integration from a variety of sources
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Delivery
Analysis
Integration
Monitoring
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Delivery
Analysis
Integration
Monitoring
Datasource Interface Datastore
Flow1
Custom
Interface
PI AF SDK
Bulk Insertion
Bulk Insertion
Flow 2
PI UFL PI Data Archive
PI AF Server
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Analysis : large-scale calculations to
transform data into actionable
information
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Delivery
Analysis
Integration
Monitoring
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Delivery
Analysis
Integration
Mo
nito
rin
gAnalysis Scheduler
Load
Data
Analysis
Engine Calculation steps
Step1 Step2 Step3 Step4
Reporting
Interfaces
Monitoring & Alerts
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Delivery : relevant information
delivered across platforms to allow for
real-time decision-making
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Delivery
Analysis
Integration
Monitoring
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Delivery
Analysis
Integration
Mo
nito
rin g
Interactive Applications
InterfacesDatastore
PI DataLink
PI AF Builder
Web
Services
PI AF SDK
RESTfulJSON
Excel
PI Data Archive
PI AF Server
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Monitoring :
Technical and functional supervision
Centralized Logging strategies
Traceability across process workflows
Alerting for all Facilities
Delivery
Analysis
Integration
Monitoring
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Delivery
Analysis
Integration
Monitori
ng
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4. How does it all
come together?
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Tool for The Monitoring and the Optimization
• Energy consumption monitoring to reducecosts
• Key indicators monitored across the watersupply chain
• Correlation between hydraulic configuration and energy consumption to pre-empt issues
• Baseline for pattern detection
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PI System and Real Time Data Analysis
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+ 7% Detection of Leak
between 2012 and 2013 Leak Detection on demand
Analyze sensors in real-time
Exchange with SQC & Scilab
Process the signals todetermine the best location ofleaks
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New ways are now possible !
Access data with simple
RESTful API
With a full text search,
navigate through your data,
compare charts
HTML
JavaScript !
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GIS an intuitive interface to access multiple data
Blending data from a variety
of sources while providing
better context and readability
Bird’s eye view across the
distribution grid
Intuitive !
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Web application with Google Maps
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Integrate your
data into Google
Maps
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New ways of Mobility
Send your data everywhere
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Data at your fingertips !
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LESSONS from our TRANSFORMATION
What has changed ?
Depth of data inventory
What used to be a burden (historical data)
is now a valuable asset
Users can now make real-time decisions
anytime, anywhere
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Questions
Please wait for
the microphone
before asking
your questions
State your
name &
company
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Brought to you by
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Please don’t forget to…Complete the online survey for
this session
eventmobi.com/emeauc14
Share with your friends
#UC2014
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BigData Solution with the PI System
PI
DA
TA
LIN
K
SharePoint
PI A
PI /
PI S
DK
PI Data Access
PI UFLPI to PI PI RDBMS
PI Datalink Server
WS REST
BDD
EDFEDF
FIILE
DataViz (HTML5/JS)
Excel Services
ESB
ESRI
Custom
Interface
Quality Data from laboratory
Energetical CSV XML
etc…
BufferingBufferingBufferingBuffering
Other PI Environn
ement
PI RDBMS
3D
Buffering
Sensor
Su
perv
isio
n
ZA
BB
IX
SCADA3 Water Works
PI
SQC
PI Asset Based
AnalyticsPI Data Archive
Core
Analysis
PI Asset Framework
PI SMT
Administration
CEPScilabPI Event Frames
Custom AnalysisPI AF
Builder
PI EF
Builder
PI System
ExplorerPI SQC
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Data Science
api
Scilab call
Software Architecture
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2
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