September 2018 at CTTC, Barcelona: discussing how progress in IOT, AI and Autonomous Machine is changing the operations in utilities. It starts with better efficiency, and ends with disruption of incumbents.

1. Alain Staron
Innovation Catalyst, Amborella
Board Member, ETSI
Former Senior VP Digital, Veolia
CTTC Workshop
September 21st , Sitges Barcelona
Harvey Wiley Corbett's 'City of the Future'
1913
For New York
Sidewalk Labs’ Alphabet futuristic city
2018
forToronto

2. Water Networks
Utilities: some specificities
Plants
Networks
Endpoints

3. Orders of magnitude
1 M Inhabitants
500 000 Meters
8 000 km of pipes
500 km²

4. At Stake

5. At Stake

6. Water availability (in 000’s m3 per person per year)
<1.0 = Scarcity
1.1 - 2 = Stress
2.1 - 5 = Vulnerability
5.1 - 10 = Medium
10.1 - 20 = OK
>20 = No problem
At Stake

7. São Paulo, in 2015, the main reservoir fell below 4% capacity
At the height of the crisis, the city of over 21.7 million inhabitants had less
than 20 days of water supply and police had to escort water trucks to stop
looting
Bangalore
city loses over half of its drinking water to waste.
In-depth inventory of the city's lakes found that 85% had water that could
only be used for irrigation and industrial cooling
Beijing
In 2014, each of the more than 20 million inhabitants of Beijing had only
145 cubic metres (water scarcity as when people in a determined location
receive less than 1,000 cubic metres of fresh water per person a year.)
Cairo
The UN estimates critical shortages in the country by 2025
Jakarta
Less than half of the city's 10 million residents have access to piped
water.
Aquifers are not being replenished despite heavy rain because the
prevalence of concrete and asphalt means that open fields cannot
absorb rainfall.
Moscow
Official regulatory bodies admit that 35% to 60% of total drinking water
reserves in Russia do not meet sanitary standards.
One-quarter of the world's fresh water reserves are in Russia
Istanbul
The city's reservoir levels declined to less than 30 percent of capacity at the
beginning of 2014.
Mexico City
One in five get just a few hours from their taps a week and another 20%
have running water for just part of the day
London
With an average annual rainfall of about 600mm (less than the Paris average
and only about half that of New York), London draws 80% of its water from
rivers (the Thames and Lea).
The city is pushing close to capacity and is likely to have supply problems by
2025 and "serious shortages" by 2040.
London has a water waste rate of 25%.
Tokyo
Miami
Melbourne
…
At Stake

8. Leakage
At Stake

9. Pollution
At Stake

10. Flood
At Stake

11. Consumption
At Stake

12. Operations

13. Operations

14. Operations

15. Operations

16. Operations
VEDIF
149 municipalities
Waiting time for a
appointement from 7
down to 2 days
Shanghai
3.6 million inhabitants
service x 2
Employees -20%
Prague
4,279 km
Time to solve an
incident down by 30%
Lyon
1.3 million customers
12 million m3
Decrease of water
losses by contract
SMARTENING THE WHOLE WATER CYCLE

17. Operations
Metering Scada Gutermann
Veolink Kruger - - -
Hypervision systems for water networks

18. Operations
Hypervision systems
Sensors map
Data
Alerts
S.O.P.
Predictive

19. Operations
Technologies
Sensors map
Data
Alerts
S.O.P.
Predictive
IoT
The
Internet of
Things
C2C
Consumer
Platforms
AI
Artificial
Intelligence
AM
Autonomous
Machines

20. Operations
The big picture
boosting
CITY’s DIGITAL TRANSFORMATION
Urban X Digital Products
Urbanlake Urbannamics Urbanboard UrbanbotsUrbanpulse

21. Operations
The big picture
Ecosystems connections
Performance
of
Infrastructures
Infrastructures
for
Inhabitants
Engaged
Inhabitants

22. Operations
The big picture
Joint Solution Architecture by Veolia and Huawei
NB-IoT devices
Telecommunications
layer
Applications
Global
rendering
engines
Ecosystem of
partners
WASTENAMICS
BUILDINGSNAMICS
WATERNAMICS
HEATNAMICS
ENERGYNAMICS
NB-IoT
Devices
NB-IoT
Devices
NB-IoT
Devices
NB-IoT
Devices
NB-IoT
Devices
NB-IoT
Devices
HuaweiSafeCity
E2Esolution

23. Next move ?

24. The Gardener Dilemna

25. Autonomous Infrastructures
Devices to embed Services

26. Challenges

27. Local coverage
Deep meters
Nationwide
coverage
Ground level
detection
Nationwide
coverage
Deep meters
Regulated
licenses
Worldwide
standard
Cost efficiency
Other proprietary
technologies
Prioprietary business
case (for wealthy
customers)
Huge fundraising
(100M€…) for 1000’s
antennas
10 000’s high points
already available
Low cost upgrade of
mobile networks
Fix radio networks Cellular IoT
2016
Challenges
Standard

28. Local coverage
Deep meters
Nationwide
coverage
Ground level
detection
Nationwide
coverage
Deep meters
Regulated
licenses
Worldwide
standard
Cost efficiency
Other proprietary
technologies
Prioprietary business
case (for wealthy
customers)
Huge fundraising
(100M€…) for 1000’s
antennas
10 000’s high points
already available
Low cost upgrade of
mobile networks
Fix radio networks Cellular IoT
2016
Challenges
Standard

29. Local coverage
Deep meters
Nationwide
coverage
Ground level
detection
Nationwide
coverage
Deep meters
Regulated
licenses
Worldwide
standard
Cost efficiency
Other proprietary
technologies
Prioprietary business
case (for wealthy
customers)
Huge fundraising
(100M€…) for 1000’s
antennas
10 000’s high points
already available
Low cost upgrade of
mobile networks
Fix radio networks Cellular IoT
2016
Challenges
Standard
!

30. Challenges
Power
15 years life time – 2 messages 1kO /day – 3$ battery
1 µA sleeping current – light protocol

31. Challenges
Privacy
Split principle:
Storage + Process <> Encryption

32. Challenges
Privacy
Data Production >> Data Transfer capacity
Data errors correction with temporal + spatial correlations

33. Challenges
Swarms

34. Challenges
Multitude
Efficiency Governance
Usage

35. Vision

36. Homo Urbanus

37. Autonomous Cities

38. Market Places

39. Homo Urbanus

41. AlainStaron
Thank you  !
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