InfluxData Architecture for IoT | Noah Crowley | InfluxData

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Noah will walk you through a typical data architecture for an IoT deployment: from sensor to edge to cloud. Then, it will be a hands-on demo to gather data from the device, display it on a dashboard and trigger alerts.

Technology

Noah Crowley, Developer Advocate
InfluxDataArchitecture
forIoT

Centralized vs. Distributed collection
WheretocollectyourIoTdata?

© 2019 InfluxData. All rights reserved.
Collect in the Cloud
‣ All data flows directly to the cloud
‣ Analysis and visualization from anywhere
‣ Take advantage of Infrastructure-as-a-Service 
‣ At the mercy of your network connection…
‣ Latency, throughput, availability, & cost

© 2019 InfluxData. All rights reserved.
Collect On-Site
‣ Data is collected close to the sensor
‣ Local processing and analysis 
‣ Unreliable back-haul networks
‣ No requirements for centralized storage or analysis

© 2019 InfluxData. All rights reserved.
Data Layer Architecture
‣ Data is collected at the edge, close to the sensor
‣ Edge collectors are also capable of processing the data
‣ Can handle local events & trigger actuation
‣ Data is forwarded to a centralized back-end
‣ Can be downsampled to reduce network costs

© 2019 InfluxData. All rights reserved.
IoT Data must be:
‣ Timely – ingestion rates and query efficiency
‣ Accurate – data integrity and platform reliability
‣ Actionable – data visualization, anomaly detection & alerting

+20 billion devices
11.5 zettabytes ofdata

aka “Industry 4.0”
IntegratingwithIIoTSystems

© 2019 InfluxData. All rights reserved.
PLC SCADA InfluxData???
PLC
PLC

© 2019 InfluxData. All rights reserved.
‣ Communication protocol for industrial equipment
‣ Successor to OPC
‣ Moves from proprietary Microsoft protocols to TCP
‣ Provides data in a hierarchical structure

© 2019 InfluxData. All rights reserved.
‣ Data flow automation tool
‣ Based on a “NiagaraFiles” developed by the NSA
‣ Allows for the creation of “scalable directed graphs of data
routing, transformation, and system mediation logic”. 
‣ Blog post from Craig Hobbs: 
 
https://www.influxdata.com/blog/building-a-data-stream-for-
iot-with-nifi-and-influxdb/

© 2019 InfluxData. All rights reserved.
Open Source OPC-UA Client and Server for Your IIoT Solutions
https://www.youtube.com/watch?v=LUEGghleJ-Q

© 2019 InfluxData. All rights reserved.
‣ Works with Industrial Automation & Builds Solutions using
InfluxData
‣ Node OPC UA Logger 
https://github.com/coussej/node-opcua-logger
‣ Influx OPC UA Server 
https://github.com/factrylabs/influx-opcua-server

© 2019 InfluxData. All rights reserved.
PLC SCADA
InfluxData 
OSS/Cloud
OPC UA
Connectors
PLC
PLC

© 2019 InfluxData. All rights reserved.
‣ Math Across Measurements
‣ Ideal Gas Law
‣ Heat Index
‣ User Packages & Distribution
‣ Building an “Environmental” package with scientific
functions for use with sensors
‣ sql.from()
‣ Integrate sensor metadata with time series data

Courtesy of David Simmons, Senior Developer Evangelist, IoT
Demo

© 2019 InfluxData. All rights reserved.
SenseAir K30
NDIR CO2 Sensor

© 2019 InfluxData. All rights reserved.
Bosch BME280
Integrated Temperature, Humidity, Pressure Sensor

© 2019 InfluxData. All rights reserved.
Pine64
Single Board Computer running Linux & InfluxDB OSS

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1. Noah Crowley, Developer Advocate InfluxDataArchitecture forIoT

2. Centralized vs. Distributed collection WheretocollectyourIoTdata?

3. © 2019 InfluxData. All rights reserved. Collect in the Cloud ‣ All data flows directly to the cloud ‣ Analysis and visualization from anywhere ‣ Take advantage of Infrastructure-as-a-Service  ‣ At the mercy of your network connection… ‣ Latency, throughput, availability, & cost

4. © 2019 InfluxData. All rights reserved. Collect On-Site ‣ Data is collected close to the sensor ‣ Local processing and analysis  ‣ Unreliable back-haul networks ‣ No requirements for centralized storage or analysis

5. © 2019 InfluxData. All rights reserved. Data Layer Architecture ‣ Data is collected at the edge, close to the sensor ‣ Edge collectors are also capable of processing the data ‣ Can handle local events & trigger actuation ‣ Data is forwarded to a centralized back-end ‣ Can be downsampled to reduce network costs

7. © 2019 InfluxData. All rights reserved. IoT Data must be: ‣ Timely – ingestion rates and query efficiency ‣ Accurate – data integrity and platform reliability ‣ Actionable – data visualization, anomaly detection & alerting

8. +20 billion devices 11.5 zettabytes ofdata

9. aka “Industry 4.0” IntegratingwithIIoTSystems

12. © 2019 InfluxData. All rights reserved. ‣ Communication protocol for industrial equipment ‣ Successor to OPC ‣ Moves from proprietary Microsoft protocols to TCP ‣ Provides data in a hierarchical structure

14. © 2019 InfluxData. All rights reserved. ‣ Data flow automation tool ‣ Based on a “NiagaraFiles” developed by the NSA ‣ Allows for the creation of “scalable directed graphs of data routing, transformation, and system mediation logic”.  ‣ Blog post from Craig Hobbs:    https://www.influxdata.com/blog/building-a-data-stream-foriot-with-nifi-and-influxdb/

18. © 2019 InfluxData. All rights reserved. ‣ Works with Industrial Automation & Builds Solutions using InfluxData ‣ Node OPC UA Logger  https://github.com/coussej/node-opcua-logger ‣ Influx OPC UA Server  https://github.com/factrylabs/influx-opcua-server

20. BenefitsofFluxforIoTData

21. © 2019 InfluxData. All rights reserved. ‣ Math Across Measurements ‣ Ideal Gas Law ‣ Heat Index ‣ User Packages & Distribution ‣ Building an “Environmental” package with scientific functions for use with sensors ‣ sql.from() ‣ Integrate sensor metadata with time series data

22. Courtesy of David Simmons, Senior Developer Evangelist, IoT Demo

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