2. Agenda
• A little bit about us
• Who is Quby & what is Toon?
• Our big data journey
• Data collection & services
• Architecture & technologies
• Demo
• Questions
@javafreekNL @twoxey
3. A little bit about us
FreekAemro
@javafreekNL @twoxey
8. The service center
Service Center
Toon Displays
Mobile devices
Product
Applications
Back Office
Applications
Mobile
Backend
Internet Internet
VPN
Access
Data collector
11. Our journey towards bigdata
30 March,
2017 12
2014
• 30K customers
• 40 types of sensor
data from 3K
customers
• up to 1 minutes
resolution
2012
• 4K customers
• Aggregated
Energy data
collected(DAY,WE
EK,MONTH)
• Benchmarking
functionality for
customers
2013
• 90K customers
• Data collection
from 30K
customers
• Event and
Measurement
data
12. Steps moving towards bigdata(cont’d)
30 March,
2017 13
2017
• 300K customers
• Near Real Time
aggregation with
segmentation
• 400 signal/5 minutes
• Sharing
Measurement data
with tenants
2015
• 190K customers
• Apache storm for Near
Real Time Energy
consumption (3K
customers)
• Data analysis using
Cloudera stack
• Up to 10 seconds
resolution
2016
• 330K customers
• Collect data from
230K customers
anonymously
• Data as a service
• Analytics platform
as a service
13. Toon®
Types of data
More than 300types of sensor and user interaction data. If you want to know more please contact us : dteam@quby.com
14
Energy CH-boiler (OT) Thermostat
Gas
consumption
Electricity
consumption
Water
temperature
Service
messages
Burner
information
Room
temperature
Thermostat
program
Manual
settings
Plug-data
Electricity
consumption
On/off
Water pressure
Energy
production
Energy
feed-in
Boiler status
Touch events
Thermostat
Mobile
1 2 3 4 5
Thermostat
setting
Hue data
14. Anonymous Data Collection
30 March,
2017 15
Service CenterCustomer
Always anonymous data
collected
Customer may opt in for services and
send keys
Customer may opt out and change
keys
Data can’t be de-anonymized again
15. Sample Services with Toon’s Data?
30 March,
2017 16
1. Benchmarking with daily energy meter data
16. Sample Services with Toon’s Data? ( cont’d)
30 March,
2017 17
2. Nearly Real Time Forecasting : Energy data Aggregation
17. Sample Services with Toon’s Data? ( cont’d)
30 March,
2017 18
3. Home Appliances Energy Consumption Detection: Energy Data disaggregation
18. Sample Services with Toon’s Data ?(cont’d)
30 March,
2017 19
4. Boiler Maintenance Prediction (KetelIQ)
19. Sample Services with Toon’s Data? ( cont’d)
30 March,
2017 20
5. Customer’s Behavioral studies
Click data Thermostat programs and co2 emission
20. What are we collecting?
24K measurements /
day / customer
600KB (zipped)
230K customers
21
24. Things to mention
• ssl mutual authentication
• raw-data stored partitioned in better way
• Customers can control access to their own data
30 March,
2017 27
25. What are we doing with all that data?
• Firehose – data as a service for B2B (and researchers)
• Analytic platform as a service
• New data driven services for Toon users
• Improve existing services
• Marketing strategy (understand your customers)
30 March,
2017 29
Freek van Gool – Cloud Platform Architect
We are in talks with many companies and people who have a broader perspective than us on the what is happening in the IoT world. We were told and noticed ourselves we’re doing something remarkable.
We want to share our learnings and pitfalls with a larger audience. We don’t have all the answers and solutions and see the IoT field is still changing very quickly.
But by sharing our knowledge and experiences we hope we can help more people being active in the IoT industry. Finally we hope we can also learn from your experiences and solutions.
About Quby
Started in 2004 in Amsterdam as Home Automation Europe BV
Currently a company of 150 people in Amsterdam with more than 25 nationalities
Focus on smart energy & smart living
We have built out the whole stack to bring you Toon, from hardware to cloud
Smart home before smart home
IoT before IoT
Difficult for end users
No engagement
Smart thermostat and IoT gateway
Consumers currently use Toon® with….
Smart thermostat
Smart home hub (solar monitor, mazout, smart plugs, smoke detector)
So… How do you sell this as a small company?
The solution which started the success is this.. (explain the logical setup and users in the solution without diving into all the details)
The second pivot:
how to find the right business model
Via energy utilities
Help utilities make theenergy transition
From utility toenergy service provider
We’ve celebrated numerous big successes which were dwarfed already by the next big success in a short time. You can imagine It’s very exciting to be part of a company which experiences exponential growth. However, it also required us to change a lot of things in our organization in order to cope with the growth we experienced.
##Number of customers derived from database
SELECT YEAR(complete.tijdstip) as jaar, COUNT(*) as number_of_activations FROM ( SELECT STARTDATE as tijdstip FROM quby.DEVICE_PARAMETER_VALUE_HISTORY asstat_hist where value = 'CONNECTED_TO_CLIENT' union SELECT TIMETAKEN as tijdstip FROM quby.DEVICE_PARAMETER_VALUE as stat where value = 'CONNECTED_TO_CLIENT' )as complete group by YEAR(complete.tijdstip) order by jaar desc