Testino - MM IWA Workshop H2O [Sola lettura] · Mario Testino - ServiTecno. The MM Scenario The...
Transcript of Testino - MM IWA Workshop H2O [Sola lettura] · Mario Testino - ServiTecno. The MM Scenario The...
Imagination at work.
Mario Testino – ServiTecnoCorrado Giussani – GE Digital
GE DigitalIndustrial Internet of Things, Data Collection and Historian Analitycs for Quality and Leakage Management in Urban Water Distribution Networks
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Presentation Details
• How to better manage water resources• Transforming data into information• The Insights• The MM Project
How to better manage water resources
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Enable the smart operatorto better manage water resources
Water Safety Plan e Water Leakage ManagementOne of the pivotal points in the model to be adopted in order to harmonize bothquality and service supply continuity is the proper monitoring of the pressurepoints in the water supply distribution network so you can build a working model atdifferent times of day and in different seasons of the year, also in consideration ofpossible changes of population, climate, and trend of rainfall data.
International Water Association (IWA)
Los Angeles Department of Water & PowerThe 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*
Three levels of Screens:High Performance HMI Screens
• Help Operators visualize a process
• Quickly determine an abnormal situation
Topographical HMIs• Help Operators visualize system areas
• Important when moving wateracross a large city
Schematic Process Style HMIs• Help Operators find the root cause
and isolate issues in the field
• Important when workingwith many different typesof facilities
*Los Angeles Department of Water & Power
Transforming data into information
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The role of GE Historianthe foundation for Industrial Internet
Collect, Archive and Distribute Production information, at maximum Speed andReliability
What is Historian?
• GE Digital’s APM edge-based 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
• Time series process data
• Native collectors & toolkit
Store
• Millions of tags
• High Availability
• Data compression
Distribute
• HTML5 client• S95 Model
Support• Native API• Big data on-
ramp
Forrester Tech Radar Internet of Things 2016
GE Historian: the modules
• CSV• XML
• Proficy Historian
• OSI PI• Calculations
• iFIX• CIMPLICITY• OPC DA• OPC A&E• OPC UA (1)• Simulation
Storage Distribution
ProcessData
ServerData
Files
• Proficy Historian Analysis
• ProficyVision
• iFIX• CIMPLICIT
Y• Admin• Excel• OLE DB• Rest API• API & SDK
Web based
Client based
• Data Hierarchy• Compression• Security• Redundancy &
Fault Tolerance
Stores & Archives
Collection
• High write/read rate• High compression• Data integrity
The Insights
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GE Historian Analysis
Data Exploration & 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
Analyze tags and expressions in a variety of chart types
Time-based trends
XY
Scatterplots
Multiple
AreaBox plots
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 ScenarioThe 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 wholeMilan city getting the 100% of need from undergroundwater. The pumping stations use a double lifting systemproviding the proper quantity of water to the users.
Pumping Stations
Water Purification Plant (San Rocco)
The MM project
Pumps Station SCADAs
Water Treatment SCADAs
HistorianHistorian Analysis
More than 20.000 points controlled!
PLCsOptical Fiber
RTUs
Optical FiberPLCs
Waste waterSCADAs
GSM
Internet
Collecting and archiving data from the differentplants, sensors and technologies in order toachieve a single interface and a powerful toolto aggregate data into information.
More than 10.000 points archived!
Waste Water lifting Stations
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 qualityImprove service continuity
Reduce wastes & supply costs