20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016
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Transcript of 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016
UNITYWATER’S JOURNEY…SO FAR
INTELLIGENT NETWORKS
Formed in 2010, we supply
sewerage and water services to a population of approximately 750,000
residents for 297,000 accounts
across a 5,223 km2 geographical
spread from Cooroy in the north to Samford in the south, Bribie Island in the east and Kenilworth in the
west.
Our Service Area
A Quick Comparison
Our Sewage and Water Network
5,683 kilometres of water mains pipe
5,449 kilometres of sewage mains pipe
17 sewage treatment plants
778 sewage pump stations
82 water pump stations
123 water reservoirs
11 recycled water plants (2 of which produce A+ recycled water)
Intelligence – in assets…or an asset in itself?
►An asset is an item, thing or entity that has potential or actual value to an organization.*
►So how does intelligence add value to the organisation?
* ISO 55000
An Aberdeen Group survey* of asset intensive organisations from 2013 found that:
►66% of Best in Class Organisations use historical asset data and real-time data as actionable intelligence for optimised decision making
►56% of Best in Class Organisations had a centralised knowledge warehouse to store asset performance data from across the business
►31% of Best in Class Organisations used analytics to provide predictive insights based on captured information.
*Asset management: the changing landscape of predictive maintenance
Research
Analytical applications
►TaKaDu
►Decerto
►GIS
►Maximo
►Business Intelligence
Intelligence
Historic and real time data
►SCADA (points, historian)
►Customer Management Systems
►GIS
►Maximo (Work Orders, asset attributes)
►Asset inspection data
►As constructed data
►Finance systems
►Tacit knowledge
TaKuDuMaximo
SCADA
Decerto
Finance
Customers
Warehouse
GIS
► Avoiding major water outage
► Embedded energy to prioritise response
► Finding the cause of dirty water complaints
► Identifying pump faults that cause bursts
► PRV failure “signature”
► Locating breaches between areas
► Tracking the event and status from start to
finish
► Changing the way we manage our network
Wins from TaKaDu
Disaster avoided and water quality restored
►Predicted demand for 48 hours
►Water age optimised
►Smoothed demand
►Scheduled pump runs
►Scheduled reservoir filling
►Energy consumption optimised
►Constant ‘tuning’ of schedules according to use patterns
Wins from Derceto
Important on the Sunshine Coast for
Tourism – population grows 165% in the
summer
►Direct savings or $386k/annum in just one half of the service area (e.g. dosing system labour and chemicals, energy)
►Avoided Cost estimated at $480k
►Bulk supply outage management (planned and unplanned)
►Reservoirs and trunk network managed as a system vs best endeavours using human experience
►Optimised water ‘stock’ turns
►Operational planning tool
Benefits of Derceto
►Optimised dispatch of resources
►Portal to other data sources
►Capture of history of assets
►Total Cost of Ownership
►Measles mapping
Wins from GIS and Maximo
SCADA, Customer, Maximo, GIS and Finance Data
Real Time Customer Consumption is “Missing”…but not for long
SCADA, Customer, Maximo, GIS and Finance Data
Intelligent applications derive “intelligence” from
the base data provided by these systems.
The application identifies patterns of behaviour
and makes predictions or determination from
these behaviours.
How we’ve changed and the benefits
44
46
48
50
52
54
56
58
2012-13 2013-14 2014-15 2015-16
Real Losses (Litres/Connection/Day)
A 14% Reduction over
four years
The Economic Level of Real Losses is c44
L/c/d
►Data, information and knowledge exist – no need to create it
►Start small and build capability
►Make iterative steps to the ‘goal’
►Use human power and intelligence before investing too heavily in systems – prove the value and benefits
►Don’t let the intelligence rule the solution
Key learnings
►All businesses have these data sets, so….
►Is this intelligence that far away?
►How far will intelligent networks be allowed to progress?
►What skills and competencies will be needed by the future water worker ?
►How do customers benefit?
Looking ahead…what’s next?
Thank youAny questions?