The world is exploding with more connected devices and a growing need to store, share, and present data in increasingly powerful ways. Learn how to use Microsoft Azure IoT with CompactRIO to enable remote data collection stations with web access to both high-speed raw data and processed results.

2. ni.com
Real-World Case Study
Connecting CompactRIO to Microsoft Azure IoT

3. Agenda
 DMC Introduction
 Problem to solve
 Intro to Azure
 Solution architecture
 cRIO + Azure
 Wrap up and questions

4. Darren Jones
Project Director, DMC Chicago
BS, Mechanical Engineering
Certified LabVIEW Architect
Certified Professional Instructor
Peter Rijks
Senior Application Developer, DMC Chicago
BS, Computer Science
Jon Carson
Project Director, DMC NYC
BS, Electrical Engineering
Licensed Professional Engineer
Certified Microsoft Solutions Developer C#
Presenter Details

5. ni.com
DMC Company Overview
employees & growing
120+
Established in 1996, DMC serves customers worldwide from offices
in Chicago, Boston, Denver, New York, Houston, and St. Louis

6. ni.com
Our NI Certifications
12 Certifications 6 Certifications 4 Certifications
DMC has partnered with National Instruments since 1997
DMC’s team of certified LabVIEW engineers is one of the
largest in the country
1 Certification

7. ni.com
DMC Partners

8. Problem to Solve

9. Problem #1

10. Problem #1
“If they [Asian Carp] were to successfully establish
themselves in the Great Lakes and start breeding, they
could utterly disrupt the existing ecosystem,
potentially starving out the trout and other native fish
that make the Great Lakes a tourism hot spot.” Time
Bighead Carp / ASIAN CARP
o Invasive Species
o Native To: China
o Means of Introduction: Imported for
aquaculture and for phytoplankton control
o Impact: Not adequately known, but may
"lead to reductions in populations of native
species that rely on plankton for food,
including all larval fishes, some adult fishes,
and native mussels“
Source - USDA

13. Fish Barrier monitoring needs
 Remote data collection
 High speed data collection
 Multiple sensors per station
 Multiple stations in field
 Data storage and historical viewing

14. Fish Barrier monitoring needs
 Alarming
 Device configuration
 Device status
 Scalable
 Open platform for acquisition and for analytics

15. NI Technologies
 CompactRIO
 Rugged
 Scalable
 LabVIEW RT
 Open platform
 Connected
 Customizable

17. Nanosecond Analysis and Control
Assess and respond to inputs 860X faster than the average human with
FPGA-enabled hardware.
Open, Connected Software
Leverage technology from the anticipated 4 million IoT software
developers by 2020.
Data Acquisition From Any Sensor
Acquire and manage any of the 78 exabytes of industrial data expected
by 2020.
Synchronization
Synchronize edge nodes to within 100 ns of each other anywhere in the world
with Time Sensitive Networking.
Edge-Ready Hardware
Deploy hardware that's certified to withstand the most demanding environments
since 0% of OT assets are in an environmentally controlled data center.
The NI Edge Node Advantage
E
S
O
D
N

18. DMC Fit: NI and IoT expertise
 NI partnership and expertise
 Web interfaces
 IoT projects
 Microsoft partnership and expertise

19. Intro to Azure

20. Infrastructure Options…
On-Premises
Buy your own hardware,
and manage your own
data center
Hosted
Pay someone to host my
application with hardware
you specify
Cloud
Pay someone for a pool of
computing resources

21. Applications
Middleware
Data
Runtime
O/S
Virtualization
Servers
Storage
Networking
On Premises
Applications
Middleware
Data
Runtime
O/S
Virtualization
Servers
Storage
Networking
Infrastructure
(as a Service)
Applications
Middleware
Data
Runtime
O/S
Virtualization
Servers
Storage
Networking
Platform
(as a Service)
Applications
Middleware
Data
Runtime
O/S
Virtualization
Servers
Storage
Networking
Software
(as a Service)
You manage
Cloud
Provider
manages
Azure
Manage as much or as little as you want…

23. Infrastructure-as-a-Service
Virtual Machines
Storage
Networking

24. Platform-as-a-Service
DocumentDB
Functions
Data Factory
App Service
SQL DatabaseMachine Learning
Stream Analytics IoT Hub

25. MS IT
Microsoft Azure
SecurityGlobal
Network
Datacenter
Operations
Capacity
Xbox
Enterprise Grade Cloud

26. Azure global datacenters

27. 28
http://www.nytimes.com/2016/02/01/technology/microsoft-plumbs-oceans-depths-to-test-underwater-data-center.html?_r=1
The Future Microsoft Data Center?

28. Azure IoT

29. Real-World IoT Applications

30. Real-World IoT Applications

31. • Coffee maker
• Popcorn machine
• 3D printer
• Roof garden soil monitoring
• Dog tracker
DMC’s IoT-Enabled Office

32. We are
here

33. Finish with Internet of Your Things solutionStart quickly with preconfigured solutions
• Fine-tuned to specific assets and
processes
• Highly visual for your real-time
operational data
• Integrate with back-end systems
• Get started in minutes
• Modify pre-set rules and alerts, pre-
defined dashboards, and more
• Add your devices and begin tailoring
to your needs
Tailor Azure IoT using preconfigured solutions

34. Azure IoT Hub
Features
Message Broker
Device Management
File Uploads

35. Azure IoT Hub
Protocols
HTTP/REST
MQTT
AMQP

36. Azure IoT Hub
Considerations
SSL mandatory
No device-to-device
JSON payloads
No message storage

37. Azure IoT Hub
Stream Analytics
Message processor
Multiple jobs/outputs
Aggregation and filters
Custom code

38. Azure IoT Device Management

39. Azure IoT SDKs
Platforms
x86
ARM
Operating Systems
Windows
Linux
mbed
Languages
C
Python
Node.js
Java
.NET

40. Solution Architecture and LabVIEW connectivity

41. Solution Requirements
 Remote data collection
 High speed data collection
 Data storage and historical viewing
 Device health
 Device updates

42. User Experience

43. Data Volume
 10 kHz
 12 Channels per station
 1 second of sampling per hour
 1 GB per day per station
 1+ TB per year

44. Azure IoT Architecture
IoT Hub Stream
Analytics
SQL
Database
Storage
CompactRIO
CompactRIO

45. LabVIEW + Azure IoT
 SSL toolkit, Indie-Energy
 MQTT tools, DAQ.IO
 JSON for serialization
 HTTP file transfer
 Microsoft Azure IoT hub SDK
Technologies

46. LabVIEW + Azure IoT: SSL
 Indie-Energy’s SSL Toolkit
 Azure authentication options
 Token based password
 X.509 certificate

47. LabVIEW + Azure IoT: JSON
 Serialize data for Azure IoT consumption
 For Fish Barrier monitoring:
 Result and summary data
 Station status and health

48. LabVIEW + Azure IoT: MQTT
 Pub/Sub
 Lightweight
 Small footprint
 Broker-based
 Test servers available Broker
Publisher
Subscriber
Publisher
Publisher
Subscriber

49. LabVIEW + Azure IoT: MQTT
 DAQ.IO MQTT toolkit
 For Azure, must send username

50. Demonstration code

51. Demo Architecture
IoT Hub Stream
Analytics
SQL
Database
Storage
Power BI

52. Solution Summary

54. Summary
 Problem: remote data you want to acquire and access
 Tools available: MQTT, SSL, Azure IoT, and more
 Take action
 Check out the tools
 Think of applications and play around!
 Learn more
 www.dmcinfo.com
 www.ni.com/internet-of-things
 www.microsoft.com/en-us/server-cloud/internet-of-things/azure-iot-suite.aspx
 https://www.daq.io/labview/
 https://github.com/Indie-Energy/AWS-IoT-RESTful

55. ni.com
Real-World Case Study: For Connecting CompactRIO's to Microsoft Azure IoT
Darren Jones, Peter Rijks, and Jon Carson
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