GE Digital
Industrial Internet of Things, Data Collection and Historian
Analitycs for Quality and Leakage Management in Urban
Water Distribution Networks
Mario Testino – ServiTecno
Corrado Giussani – GE Digital
Imagination at work.
Presentation Details
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How to better manage water resources
Transforming data into information
The Insights
The MM Project
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How to better manage
water resources
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Enable the smart operator
to better manage water resources
Water Safety Plan e Water Leakage Management
One of the pivotal points in the model to be adopted in order to harmonize both
quality and service supply continuity is the proper monitoring of the pressure
points in the water supply distribution network so you can build a working model at
different times of day and in different seasons of the year, also in consideration of
possible changes of population, climate, and trend of rainfall data.
International Water Association (IWA)
Los Angeles Department of Water & Power
The largest municipal utility in the US,
servicing an area of over 1205 square kilometers
GE iFIX helps:
• Maintain more than 11.600 km of
water pipelines
• Monitor more than 100 Reservoirs
and Tanks, 400 Regulator Stations,
70 Pump Stations and 30 Treatment
Stations
• Deliver almost 2 billion gallons of
clean water every day to more than
4 million people
Efficient HMI at LADWP*
*Los Angeles Department of Water & Power
Three levels of Screens:
High Performance HMI Screens
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Help Operators visualize a process
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Quickly determine an abnormal situation
Topographical HMIs
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Help Operators visualize system areas
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Important when moving water
across a large city
Schematic Process Style HMIs
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Help Operators find the root cause
and isolate issues in the field
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Important when working
with many different types
of facilities
Transforming data into
information
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The role of GE Historian
the foundation for Industrial Internet
Collect, Archive and
Distribute
Production information,
at maximum Speed and
Reliability
What is Historian?
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GE Digital’s APM edgebased data historian to
collect, store and normalize
time series sensor data from
industrial equipment and
processes
Proprietary and patented
data archiving and
compression technique
Native collectors and APIs to
easily get data in and out
Native Methods to move
data to HDFS & Predix
Foundational element to IoT
Analytic capability*
Collect
Store
Distribute
• Time series
process data
• Native
collectors &
toolkit
• Millions of
tags
• High
Availability
• Data
compression
• HTML5 client
• S95 Model
Support
• Native API
• Big data onramp
Forrester Tech Radar Internet of Things 2016
GE Historian: the modules
Collection
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iFIX
CIMPLICITY
OPC DA
OPC A&E
OPC UA (1)
Simulation
• CSV
• XML
• Proficy
Historian
• OSI PI
• Calculations
Storage
Distribution
• iFIX
• CIMPLICIT
Y
Client • Admin
based • Excel
• OLE DB
• Rest API
• API & SDK
Process
Data
Files
Stores &
Archives
Server
Data
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Data Hierarchy
Compression
Security
Redundancy &
Fault Tolerance
• High write/read rate
• High compression
• Data integrity
Web
based
• Proficy
Historian
Analysis
• Proficy
Vision
The Insights
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GE Historian Analysis
Analysis
• Historian
tag trending
• Run-time
Python
Expressions
Model
• ISA95
hierarchy
• Tag/asset
searching
Collaboration
• Favorites
• Alarm
Analysis
Drives Outcomes:
• Visibility of sensor data
anywhere, anytime
• Immediate insight
• Enables collaboration
• Supports ad hoc and
repeatable analysis
• Puts data into context
• Offers advanced analysis tools
in a simple to use framework
• One click Report Generation
Data Exploration & Analysis
Analyze tags and expressions in a variety of
chart types
Time-based trends
Scatterplots
Multiple
Box plots
Area
XY
Historian Query Modes
Historian Alarm & Event Viewer
Expand, analyze, collaborate through alarm notes
“Historian is the most
efficient storage model for
time series data on the
planet”
Eric Pool, Consulting
Engineer & Chief Architect,
Atlanta M&D Center
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The MM project
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Performance, Quality and Leakage Management in
Urban Water Distribution & Treatment Networks:
The Metropolitana Milanese (MM) project
Emilio Attilio Lanfranchi - MM
Marco Grossale – MM
Mario Testino - ServiTecno
The MM Scenario
The Milan Water Works (the figures):
2.400 Km of pipes
25.000 valves
31 lifting pumping stations
30 waste water pumping stations
1 water purification plant (San Rocco)
548 Wells
50.000 Users
250 million cubic meters of drinking water provided
1 Main control center «Super Centro Pilota»
4 Control Sub-centers
The Aqueduct ensures the water supply of the whole
Milan city getting the 100% of need from underground
water. The pumping stations use a double lifting system
providing the proper quantity of water to the users.
The MM project
Pumping Stations
Optical Fiber
Collecting and archiving data from the different
plants, sensors and technologies in order to
achieve a single interface and a powerful tool
to aggregate data into information.
PLCs
Pumps Station SCADAs
Water Purification Plant (San Rocco)
PLCs
Optical Fiber
Historian
Historian
Analysis
Internet
Water Treatment SCADAs
Waste Water lifting Stations
RTUs
GSM
Waste waterSCADAs
More than 20.000
points controlled!
More than 10.000
points archived!
Main project objectives
Water balance key performance indicators definition & monitoring
• Quantity & Volume
• Quality
• Efficiency & Leakage
• Process analysis (water purification)
Energy management
• Energy control
• Energy saving
Improve water quality
Improve service continuity
Reduce wastes & supply costs