Overview of IoT strategy and the future of our work.

1. IOT
And the future
of work

2. Asset monitoring IoT Application
Contact us
Robbrecht van Amerongen
IOT Business Unit
+31 6 410 10 286
robbrecht@conclusion.nl
IOT Solution Conclusion – Contact
robbrecht@conclusion.nl

3. Some figures
90% Of Today's Data was Created In the past Two Years
2.5 quintillion bytes of data a day!
2.500.000.000.000.000.000432.000 YouTube content created
3.904.000.000 YouTube hours views
5.760.000.000 Facebook likes per day
5.040.000.000 Google search per day
224.640.000.000 emails send
3000 sensors = 100GB of data per hour.
By 2025, approximately 80 billion devices will be
connected to the Internet

4. Data from devices are integrated in real
time to information system
Closing the gap between information
system and the field
Amount of connected devices expected
to rise to 50 billion in 2020
Benefits all sectors, including agriculture,
retail, industry and healthcare
Add intelligence by adding analytical
dimension and machine learning
Launch actions in enterprise
application based on real-time data
IOT CONNECTING THE PHYSICAL
& DIGITAL WORLD

5. Titel van de presentatie 5
Data points
=
450.000.000 per jaar per gebouw

6. Edge Computing
Titel van de presentatie 6

7. Business drivers for IOT solutions
• Improve efficiency
• Real time remote monitoring, searching for parts with due maintenance, locate
objects / individuals, jut in time / predictive maintenance, locate bottle necks
• Reduce costs
• Reduce time for physical inspections, improve utilization of idle equipment,
balance of physical workload, reduce number of corrections (first time right),
decrease stock of spare parts
• Better decision making
• Full view of physical world in digital world, improve forecast models with real
data, improve algorithms and machine learning, cause and effect analysis
• Improve sustainability
• Measure status of sustainability goals in energy efficiency and CO2 reduction,
create energy efficient production processes, smart gird usage

8. Trends
• Security
• Van data naar informatie
• Event gedreven
• Mashup
• Smart devices
• Goedkoper / afbreekbaar
• Privacy
Titel van de presentatie 8

9. Security
Titel van de presentatie 9

10. Data naar infromatie
Titel van de presentatie 10

11. Event driven
Titel van de presentatie 11

12. Mashup
Titel van de presentatie 12

13. Smart devices make them autonomous
Titel van de presentatie 13

14. Security via smart video
Titel van de presentatie 14

15. Goedkoop en afbreekbaar
Titel van de presentatie 15

16. Privacy : your own fingerprint via the devices you carry
Titel van de presentatie
Telefoon mac / wifi / bluetooth
Bankpas
Creditcard
OV Card
RFID
RFID
RFID
RFID
RFID
Laptop /
Tablet
Face recognition
Walking pattern

17. Count the number of people / things
Titel van de presentatie 17

18. IOT and the
impact on work
Titel van de presentatie18

19. Titel van de presentatie19
Measure
From data to
informatio

20. Controles
Titel van de presentatie20

21. Bijsturen

22. Meer vraag naar
IT en analyse

23. Werken op
afstand

24. Personal
sensors
Productivity
Physical /
mental state

25. Praktisch vervolg
• Continu meten in plaats van steekproef
• Autonoom systeem
• Verwerking in de Edge / Lokaal
• Nauwere interactie met mensen
• Nieuwe informatie door combineren

26. Gevolgen voor werk
• Direct feedback
• Meten van capaciteiten
• Micro banen / nu iemand nodig
• Veel meer inzicht in productiviteit
• Kostenbesparing / efficiency
Titel van de presentatie 26

27. IOT Solution Conclusion – Contact
robbrecht@conclusion.nl
Contact us
Robbrecht van Amerongen
Business Development
+31 6 410 10 286
robbrecht@conclusion.nl

28. reserve

29. Business drivers for IOT solutions
• Improve efficiency
• Real time remote monitoring, searching for parts with due maintenance, locate
objects / individuals, jut in time / predictive maintenance, locate bottle necks
• Reduce costs
• Reduce time for physical inspections, improve utilization of idle equipment,
balance of physical workload, reduce number of corrections (first time right),
decrease stock of spare parts
• Better decision making
• Full view of physical world in digital world, improve forecast models with real
data, improve algorithms and machine learning, cause and effect analysis
• Improve sustainability
• Measure status of sustainability goals in energy efficiency and CO2 reduction,
create energy efficient production processes, smart gird usage

30. Concepts behind sensoring and tracking
• Asset Tracking
• Method of tracking physical assets
• Scanning barcode/QR labels attached to the assets
• Using tags using GPS or RFID which broadcast their location
• Low-power devices like BLE Beacons and LoRa Nodes/Gateways
• Sensoring
• Method of monitoring health of physical assets
• Monitoring temperature, motion, moisture, pressure, other conditions…
• Using sensors emitting data collected by gateways
• Data is near real-time available on central dashboard

31. Technology behind Asset tracking
• Communication
Characteristics
• Communcation protocols
• Tracking technology
• Gateway positioning
• Position calculation

32. Communication Characteristics
Source: https://www.slideshare.net/PeterREgli/lpwan

33. Comparison IoT communication protocols
Source: https://www.slideshare.net/PeterREgli/lpwan

34. Public Space
Local Area
Indoor vs Outdoor Sensoring
Office
Public Space:
• NB-IOT, LoRa, Sigfox
Local Area:
• Wifi / Cable
• Small/Medium: Beacons
• Large: LoRa
Office:
• Beacons / wifi

35. Gateway positioning and map on Floor plan
= Gateway

36. Asset Tracking BLE
Not accurate, but OK for indoor and small/medium area’s.
d = 10 ^ ((txPower-RSSI) / 10n) (n ranges from 2 to 4)

37. Triangulation LoRa
Not accurate enough! Due to reflections.
So, GPS is needed!

38. Logic
Coponent
Design
Enterprise IoT
Architecture
IOT Solution Conclusion – Contact
robbrecht@conclusion.nl

39. Modern IOT architecture
iotwf.com - IoT Reference Model http://cdn.iotwf.com/resources/71/IoT_Referenc
e_Model_White_Paper_June_4_2014.pdf

40. Modern IOT architecture
Connectivity and Data Element Analysis
Device Control
• Configure / Status (from the device provider)
Device Interactions
• Discovery / Addressing / Protocol conversion
Middleware
• Listeners (Lora, BLE, ZigBee), brokers (MQTT)
• Event grouping / batch interactions
Data
• Normalize / Filter / Expand / Aggregate
• Notify/alert
Security
• Roles / Privileges
iotwf.com - IoT Reference Model http://cdn.iotwf.com/resources/71/IoT_Referenc
e_Model_White_Paper_June_4_2014.pdf

41. Concepts
behind
Internet of
Things platform
IOT Solution Conclusion – Contact
robbrecht@conclusion.nl

42. Concepts behind
Internet of Things platform
• Cloud platform to connect the physical world to existing IT
• Connect all existing Devices & Sensors
• Each device/sensor identified by a device model in IoT Cloud
• Programmable devices can be directly connected using client libraries
• Sensors can be connected through programmable gateway
• Analyze streaming data in Real-Time
• Use raw-data streams as input for creating custom analytics
• Apply data analysis patterns e.g. Top/Bottom N, Up/Down Trend
• Route/Publish analyzed stream
• Integrate with enterprise applications or cloud services

43. Concepts – Device Models & Registration
• Device model first approach
• Device models define data and behaviors implemented by devices
• They are used to derive the analytics and integration strategy
• Data structure can contain more fields then sensor data
• Registration / Provisioning through Gateway device(s)
• Gateway device acts as central IoT hub
• Gateways are provisioned, indirectly connected devices are not
• Indirectly connected devices are registered by gateway on the fly
• IoT application attaches device models and monitor devices

44. Internet of
Things
Platform
Walkthrough
IOT Solution Conclusion – Contact
robbrecht@conclusion.nl

45. IOT Platform building blocks
Device
Connectivity
Stream Processing
Big Data Store
Digital Twin
Dashboard
Device Management
IoT
Gateway
Physical
Devices
Connectivity Edge (Fog) Computing Data Accumulation Data Abstraction Application
Devices / Sensors Data Processing
Data Integration
Collaboration/
Processes
Back-end systems
Cloud
Connectivity
Monitoring & Governance & Provisioning
DataFabric3rd party data

46. Advanced IOT reverence architecture
API platform /
ERP backend
IoT Edge
Customer Specific
Meta Data &
Reference Data
Raw Data
Event Hub
Streaming
IoT Hub
Device Data
Structured Data
Reports
3rd party
Manual Telemetry
Data Upload and
download
Unstructured
Data
Digital TwinSensor and Treshold
(green, yellow, red)
Data Factory

47. Overview of Platform
IoT Cloud
Beacon Gateway
LoRa Gateway
SD
K
Asset Management

48. Discover Beacons (ble) packets
• Making use of Estimote (sticker) beacons
• Small BLE devices that send nearable packets
• Includes temperature and motion sensor data for asset monitoring
• BLE packets picked up Edge Router / Gateway
• Raspberry PI (zero W or 3) or ESP32 can discover BLE packets
• Gateway runs NodeJS application using Bleacon module
• Bleacon is a module (uses Bleno), to decode BLE packets (i.e. iBeacon
and Nearable).
• Edge Router smoothens and send data to MQTT broker

49. Publish data to IoT Cloud
• Intermediate Gateway subscribes to MQTT broker
• Can run in the Cloud or on a small computer (RPI, Pine64)
• Runs NodeJS/RED application, subscribes to MQTT topic
• Gateway Node app interacts with IoT Cloud
• Activates / Connects gateway to IoT Cloud
• Based on device type, device model is downloaded and assigned
• Device is registered to IoT Cloud if unknown (new device after restart)
• Device data is transformed to model format
• Device data is send to IoT Cloud
Application
Container Cloud
Internet of Things
Cloud

50. Publish data to IoT Cloud
MQTT Gateway subscribes to topic to publishes data to IoT Cloud

51. loRa to IoT ClouD integration
• Basically the same concept as for Beacons
• LoRa enabled Gateway is needed
• Make use of free (TTN) or commercial (KPN) LoRa netwerk
• Gateway Node app interacts with IoT Cloud
• Identically as for Beacons
• Bi-Directional communication
• Data smoothening
Internet of Things
Cloud
Gateway

52. Project experience : Asset Monitoring Dashboard
• Map
• Incidents
• Places
• Asset Types
• Assets
• Rules

53. Project experience : ASSET visible on map (GEO Boundary)

54. Project experience : Automate digital twin monitoring

55. Project experience : Process incidents

56. Project experience : Predictive Maintenance

57. Asset monitoring IoT Application
Contact us
Robbrecht van Amerongen
IOT Development
+31 6 410 10 286
robbrecht@conclusion.nl
IOT Solution Conclusion – Contact
robbrecht@conclusion.nl

58. Microsoft Azure IoT Reference Architecture