Smart thermometer

1. Making your own smart ‘machine learning’ thermostat
Data Donderdag – 19 november 2015 – Niek Temme

2. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
Quirky needs your Wink Hub
back after a botched security
update
- CNET -
18 – 50 billion
connected devices by 2020
- Gartner, IDC, Cisco -
device hub cloud

3. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
Quirky needs your Wink
Hub back after a botched
security update
- CNET -
18 – 50 billion
connected devices by
2020
- Gartner, IDC, Cisco -
device hub cloud
Device Connection
Cloud
- Storage
- Analitics
How Smart, Connected Products
Are Transforming Companies
Michael E. Porter James E. Heppelmann
oktober 2015

4. The device

5. 2
3
4
1

6. 2
3
4
1 A01_1933
A01_1933
A01_1982
A01_1982
A01_1933
A01_1884
A01_1933
A01_1982
A01_1933
40b5af00_rx000A01_8574094222_9670832 column=fd:cd, timestamp=1425905812807, value=1933
40b5af00_rx000A01_8574094222_9796804 column=fd:cd, timestamp=1425905812807, value=1933
40b5af00_rx000A01_8574094222_9919598 column=fd:cd, timestamp=1425905812807, value=1982
40b5af00_rx000A01_8574094223_9043289 column=fd:cd, timestamp=1425905812807, value=1982
40b5af00_rx000A01_8574094223_9166720 column=fd:cd, timestamp=1425905812807, value=1933
40b5af00_rx000A01_8574094223_9294077 column=fd:cd, timestamp=1425905812807, value=1884
40b5af00_rx000A01_8574094223_9416375 column=fd:cd, timestamp=1425905812807, value=1933
40b5af00_rx000A01_8574094223_9540631 column=fd:cd, timestamp=1425905812807, value=1982
40b5af00_rx000A01_8574094223_9669088 column=fd:cd, timestamp=1425905812807, value=1933

7. Connection & Storage
3 sensors
1000 values
per scecond
In one year
31 bilion rows
+/- 800GB

8. ?
Analytics

9. increase maintain
61 2 3 4 5 1 2 3 4 5 6
Smart Temp - Sensor value - 2015-03-19

10. 8
10
12
14
16
18
20
0 10 20 30 40 50 60
Temperature °C
Minutes
Act temp
Set temp
Making it smart
00:00 00:10 00:3000:20 00:40 00:50 01:00
6 min 5 min 4 min 3 min 2 min 2 min

11. Making it smart

12. Score
score =
( [number of times boiler goes on] * 10 * 60 ) +
( [total minutes boiler is on] * 2 ) +
( absolute( [maximum reached temperature]
– [set temperature] ) ) +
( if([overshoot]=true ) then 3600 else 0 )

13. 00:00 00:10 00:3000:20 00:40 00:50 01:00
4 min 4 min 4 min 3 min 3 min 2 min
00:00 00:10 00:3000:20 00:40 00:50 01:00
2 min 2 min 2 minoff off off
scenario
tempdif: 7 ℃
outempdif: 8 ℃
initial
improved
k-means clustering

14. Thank you
questions or feedback?
http://niektemme.com/2015/08/09/smart-thermostat/
niektemme@gmail.com
@niektemme
linkedin.com/in/niektemme

15. EXTRA SLIDES

26. • 1000 values per second
• Why 1000?
• Solved with in-memory database
Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
2 3 4
5 6 7

29. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
Quirky needs your Wink
Hub back after a botched
security update
- CNET -
18 – 50 billion
connected devices by
2020
- Gartner, IDC, Cisco -

30. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
2 3 4
5 6 7
I II III
Making your own smart ‘machine learning’ thermostat using
Arduino, AWS, HBase, Spark, Raspberry PI and XBee
niektemme.com/2015/08/09/smart-thermostat

31. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
2 3 4
5 6 7
I II III

32. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
2 3 4
5 6 7
I II III

33. Start with ‘IoT’

34. Used scenario
• Scenario = pattern of six 10 minute intervals
For example 5 4 3 2 2 2
• The tempdif = (set – inside) temperature
• The outtempdif = (set – outside) temperature
• Raspberry PI selects (given a tempdif and outtempdiff)
– 50% of the time: best temperature scenario
– 50% of the time: alternative scenario
• Used scenario and tempdif and outtempdiff used to select this
scenario are uploaded to the server.

35. Making it smart
Minutes per run – maintain room temperature Minutes per run – maintain room temperature (alternaKve)

36. Two step process
A. Score each used scenario
B. Cluster and rank scenarios in each
cluster

37. B. Cluster and select

38. Making it smart
8
10
12
14
16
18
20
0 10 20 30 40 50 60
Temperature °C
Minutes
Act temp
Set temp
8
10
12
14
16
18
20
0 10 20 30 40 50 60
Temperature °C
Minutes
Act temp
Set temp

39. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
2 3 4
5 6 7
I II III
00:00 00:10 00:3000:20 00:40 00:50 01:00
6 min 5 min 4 min 3 min 2 min 2 min

41. 61 2 3 4 5 1 2 3 4 5 6
increase maintain

44. 8
10
12
14
16
18
20
0 10 20 30 40 50 60
Temperature °C
Minutes
Act temp
Set temp
Making it smart
00:00 00:10 00:3000:20 00:40 00:50 01:00
6 min 6 min 6 min 2 min off 2 min

45. Arduino
+
XBee
RaspPI
+
XBee
AWS
HBase
Spark
Boiler
Device Connection
Cloud
- Storage
- Analitics
How Smart, Connected Product
Are Transforming Companies
Michael E. Porter James E. Heppelmann
oktober 2015

46. Personal journey