SlideShare a Scribd company logo
Industrial Decarbonisation
Node-RED || InfluxDB
OCTOBER 2021
100-699
Renewable electricity into heat Decarbonise industry Replace fossil fuels
6/10/2021 2
Industrial Decarbonisation
Decouple Supply and Usage
• Solar
• Wind
• Surplus
Thermal Energy Storage
6/10/2021 4
Decouples input from output (storage)
TES
Thermal Energy Storage
March 2021 5
• Meaningful reduction in fossil fuel use with no impact to
process or product quality
• Technology to move storage from the pipeline to the plant
• Newly enabled market due to declining PV and wind costs
• Increasing gas price + decreasing RE price == opportunity
6/10/2021 6
Customer Value
Enabled by Industrie 4.0
DATA DRIVEN SUCCESS
6/10/2021 7
Data Drives Everything
• Source:
◦ Machines
◦ Customer
◦ Weather
◦ Internal APIs
◦ Third party APIs
• Use:
◦ Machine operation optimisation
◦ Remote operation, engineering and reporting
◦ Product development and value engineering
◦ Directing key research activities
• InfluxDB helps enable Graphite Energy’s data vision
Juelich, DE, Start of Data Journey
• 2007
• 2,250 independent machines
• Orchestrated in real time
• Data collected centrally –
traditional historian
• Optical calibration analysis
batch-based, online
• All other analytics batch-
based, offline
6/10/2021 9
Renewable Heat, Current Day
• Log everything
• Data collected locally and in cloud
• Time series database
• Web dashboards
• Cloud based analytics
• Edge compute analytics
• All analytics real-time
6/10/2021 10
Data Progression
2007 2021
• ~100 series per machine
• Recorded every 1-15s
• 1,000,000 records per day
6/10/2021 11
• ~10 series per machine
• Recorded every 60s
• 15,000 records per day
Timeseries DB
WHY?
6/10/2021 12
• SQL chokes and Excel doesn’t do time
• Specialised for time driven data series
• ‘As at’ is more useful than ‘Belongs to’
◦ Related in time, not space
• Write once, read many
• Append only
6/10/2021 13
Why Timeseries DB?
As At, not Belongs To
6/10/2021 14
Life of a Data Series
6/10/2021 15
POST
Give me a write, Vasily. One write only, please
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
GET
……
PUT
DELETE
• Input data is irregular, output is rectangular (in time)
◦ CSV is lingua franca for data exchange of hardware world
◦ Easier to analyse
◦ Provides clocking for digital twin and third-party tooling
• Configurable time steps
• Time step treatment (Min, Max, Mean, Median, …)
• “Can my mechanical engineer drive the QL?”
• QL must be FAST (learn, write, execute)
6/10/2021 16
Queries
• Production
◦ MSSQL
◦ Azure Time Series Insights
◦ InfluxDB
• Tried
◦ Various NoSQL
◦ OpenTSDB
◦ Graphite
◦ KDB
6/10/2021 17
Where have we been?
Node-RED and InfluxDB
IMPLEMENTATION STRATEGY
6/10/2021 18
TS Data Architecture
6/10/2021 19
-K500 (DATA
LOGGER)
AUX .150
Control Network
Local TS DB
Machine
Data I/F
Cloud TS DB
Operator/ERP
Customer Plant Remote Ops
Dashboard/
Engineering
Edge Compute
Compute
API
Etc…
Data Everywhere
6/10/2021 20
-K500 (DATA
LOGGER)
AUX .150
.120
-K10, -K11
CTRL 10.10.10.0/24
Switch .254
MODBUS-CONTROL
.130
-K400 (THYR)
.140
-K20, -K21, -K22
AUX 10.10.20.0/24
Switch .254
MODBUS-AUX
-P2 (Energy
Analyser)
.160
-P1 (HMI)
CTRL .111
-K100 (PLC)
.110
In-Service Digital Twin
IN-SERVICE MACHINE DIGITAL TWIN @ EDGE AND REMOTE
DATA
• Deviation < 5%
• 2021 target 2%
• Two-way data flow
• Real time operation
• Optimises production
How we do it
Get Conf Update Conf
Get Data Engineering
Post Cache
Post InfluxDB
OnPrem
Post InfluxDB
Cloud
Post LocalDB
Node-RED Workflow
6/10/2021 24
Cloud Conf
6/10/2021 25
Data Engineering
6/10/2021 26
Data Engineering
6/10/2021 27
Data Engineering
6/10/2021 28
Transmit
6/10/2021 29
Transmit
Working in Influx DB
6/10/2021 30
• Digital twin
• Automation: Flow, Python,
Grafana
• Teams
• Email
• Batch CSV export
Influx Workflow
• Create a function
6/10/2021 32
Flux is nice
6/10/2021 CONFIDENTIAL 33
Flux is nice
• Get what you want
• Data engineering at query time
6/10/2021 34
Flux is nice
6/10/2021 35
Grafana Alerts
• Version control 
• TDD 
• Auth – secrets are hard in live IIOT environments
• Lots of engineering for variable connectivity environments
6/10/2021 36
Node-RED Challenges
• Debugging Flux gets hard in the Web UI
• Use the VSCode plugin
• Queries are the razor blades of the cloud service billing –
watch out!
6/10/2021 37
InfluxDB Challenges/Tips
• What’s next
◦ Scale out (>100x series count)
◦ Python on-device ML
◦ Edge compute
◦ Supported by on-prem and cloud InfluxDB
6/10/2021 CONFIDENTIAL 38
Where are we going?
6/10/2021 39
Thank you!
October 11-12, 2021
Hands-On Flux Training
October 26-27, 2021
Virtual Experience
We look forward to bringing together our community
of developers to learn, interact and share tips and use
cases.
https://www.influxdays.com/influxdays-north-america-2021-virtual-experience/

More Related Content

What's hot (20)

PDF
Building A Diverse Geo-Architecture For Cloud Native Applications In One Day
VMware Tanzu
 
PDF
InfluxDB Live Product Training
InfluxData
 
PDF
Best Practices for Scaling an InfluxEnterprise Cluster
InfluxData
 
PPTX
InfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
InfluxData
 
PDF
Spacecrafts Made Simple: How Loft Orbital Delivers Unparalleled Speed-to-Spac...
InfluxData
 
PDF
Martin Moucka [Red Hat] | How Red Hat Uses gNMI, Telegraf and InfluxDB to Gai...
InfluxData
 
PDF
Time Series Tech Stack for the IoT Edge
InfluxData
 
PPTX
High cardinality time series search: A new level of scale - Data Day Texas 2016
Eric Sammer
 
PDF
Getting Started: Intro to Telegraf - July 2021
InfluxData
 
PPTX
InfluxDB Cloud Product Update
InfluxData
 
PPTX
How to Use Telegraf and Its Plugin Ecosystem
InfluxData
 
PPTX
Kurt Schneider [Discover Financial] | How Discover Modernizes Observability w...
InfluxData
 
PDF
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
InfluxData
 
PDF
A True Story About Database Orchestration
InfluxData
 
PDF
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
InfluxData
 
PDF
Should you read Kafka as a stream or in batch? Should you even care? | Ido Na...
HostedbyConfluent
 
PDF
Managing Cassandra Databases with OpenStack Trove
Tesora
 
PPTX
Symantec: Cassandra Data Modelling techniques in action
DataStax Academy
 
PDF
Hadoop summit - Scaling Uber’s Real-Time Infra for Trillion Events per Day
Ankur Bansal
 
PPTX
DataEngConf: Apache Kafka at Rocana: a scalable, distributed log for machine ...
Hakka Labs
 
Building A Diverse Geo-Architecture For Cloud Native Applications In One Day
VMware Tanzu
 
InfluxDB Live Product Training
InfluxData
 
Best Practices for Scaling an InfluxEnterprise Cluster
InfluxData
 
InfluxEnterprise Architecture Patterns by Tim Hall & Sam Dillard
InfluxData
 
Spacecrafts Made Simple: How Loft Orbital Delivers Unparalleled Speed-to-Spac...
InfluxData
 
Martin Moucka [Red Hat] | How Red Hat Uses gNMI, Telegraf and InfluxDB to Gai...
InfluxData
 
Time Series Tech Stack for the IoT Edge
InfluxData
 
High cardinality time series search: A new level of scale - Data Day Texas 2016
Eric Sammer
 
Getting Started: Intro to Telegraf - July 2021
InfluxData
 
InfluxDB Cloud Product Update
InfluxData
 
How to Use Telegraf and Its Plugin Ecosystem
InfluxData
 
Kurt Schneider [Discover Financial] | How Discover Modernizes Observability w...
InfluxData
 
Vasilis Papavasiliou [Mist.io] | Integrating Telegraf, InfluxDB and Mist to M...
InfluxData
 
A True Story About Database Orchestration
InfluxData
 
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
InfluxData
 
Should you read Kafka as a stream or in batch? Should you even care? | Ido Na...
HostedbyConfluent
 
Managing Cassandra Databases with OpenStack Trove
Tesora
 
Symantec: Cassandra Data Modelling techniques in action
DataStax Academy
 
Hadoop summit - Scaling Uber’s Real-Time Infra for Trillion Events per Day
Ankur Bansal
 
DataEngConf: Apache Kafka at Rocana: a scalable, distributed log for machine ...
Hakka Labs
 

Similar to How to Enable Industrial Decarbonization with Node-RED and InfluxDB (20)

PDF
Solving Manufacturing Challenges with Time Series Data.pdf
Suyash Joshi
 
PPTX
Paul Dix [InfluxData] | InfluxDays Keynote: Future of InfluxDB | InfluxDays N...
InfluxData
 
PPTX
How Texas Instruments Uses InfluxDB to Uphold Product Standards and to Improv...
InfluxData
 
PDF
ML & Data Processing for Industrial IoT with InfluxDB
Suyash Joshi
 
PDF
Intro to Time Series
InfluxData
 
PDF
Intro to InfluxDB
InfluxData
 
PDF
How Texas Instruments Uses InfluxDB to Uphold Product Standards and to Improv...
DevOps.com
 
PDF
Rethinking the Database in the IoT Era
InfluxData
 
PDF
Flux QL - Nexgen Management of Time Series Inspired by JS
Ivo Andreev
 
PDF
Brian Gilmore [InfluxData] | InfluxDB in an IoT Application Architecture | In...
InfluxData
 
PDF
Time Series to Vectors: Leveraging InfluxDB and Milvus for Similarity Search
Zilliz
 
PDF
Virtual training intro to InfluxDB - June 2021
InfluxData
 
PDF
Power Your Predictive Analytics with InfluxDB
InfluxData
 
PDF
Using the Open Source OPC-UA Client and Server for Your IIoT Solutions | Jero...
InfluxData
 
PDF
Sensor Data in InfluxDB by David Simmons, IoT Developer Evangelist | InfluxData
InfluxData
 
PPTX
InfluxDB Roadmap: What’s New and What’s Coming
InfluxData
 
PPTX
Stream processing IoT time series data with Kafka & InfluxDB | Al Sargent, In...
HostedbyConfluent
 
PDF
Lyft data Platform - 2019 slides
Karthik Murugesan
 
PDF
The Lyft data platform: Now and in the future
markgrover
 
Solving Manufacturing Challenges with Time Series Data.pdf
Suyash Joshi
 
Paul Dix [InfluxData] | InfluxDays Keynote: Future of InfluxDB | InfluxDays N...
InfluxData
 
How Texas Instruments Uses InfluxDB to Uphold Product Standards and to Improv...
InfluxData
 
ML & Data Processing for Industrial IoT with InfluxDB
Suyash Joshi
 
Intro to Time Series
InfluxData
 
Intro to InfluxDB
InfluxData
 
How Texas Instruments Uses InfluxDB to Uphold Product Standards and to Improv...
DevOps.com
 
Rethinking the Database in the IoT Era
InfluxData
 
Flux QL - Nexgen Management of Time Series Inspired by JS
Ivo Andreev
 
Brian Gilmore [InfluxData] | InfluxDB in an IoT Application Architecture | In...
InfluxData
 
Time Series to Vectors: Leveraging InfluxDB and Milvus for Similarity Search
Zilliz
 
Virtual training intro to InfluxDB - June 2021
InfluxData
 
Power Your Predictive Analytics with InfluxDB
InfluxData
 
Using the Open Source OPC-UA Client and Server for Your IIoT Solutions | Jero...
InfluxData
 
Sensor Data in InfluxDB by David Simmons, IoT Developer Evangelist | InfluxData
InfluxData
 
InfluxDB Roadmap: What’s New and What’s Coming
InfluxData
 
Stream processing IoT time series data with Kafka & InfluxDB | Al Sargent, In...
HostedbyConfluent
 
Lyft data Platform - 2019 slides
Karthik Murugesan
 
The Lyft data platform: Now and in the future
markgrover
 
Ad

More from InfluxData (20)

PPTX
Announcing InfluxDB Clustered
InfluxData
 
PDF
Best Practices for Leveraging the Apache Arrow Ecosystem
InfluxData
 
PDF
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
InfluxData
 
PDF
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
InfluxData
 
PDF
Build an Edge-to-Cloud Solution with the MING Stack
InfluxData
 
PDF
Meet the Founders: An Open Discussion About Rewriting Using Rust
InfluxData
 
PDF
Introducing InfluxDB Cloud Dedicated
InfluxData
 
PDF
Gain Better Observability with OpenTelemetry and InfluxDB
InfluxData
 
PPTX
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
InfluxData
 
PDF
How Delft University's Engineering Students Make Their EV Formula-Style Race ...
InfluxData
 
PPTX
Introducing InfluxDB’s New Time Series Database Storage Engine
InfluxData
 
PDF
Start Automating InfluxDB Deployments at the Edge with balena
InfluxData
 
PDF
Understanding InfluxDB’s New Storage Engine
InfluxData
 
PDF
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
InfluxData
 
PPTX
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
InfluxData
 
PDF
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
InfluxData
 
PDF
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
InfluxData
 
PDF
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
InfluxData
 
PDF
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
InfluxData
 
PDF
Paul Dix [InfluxData] The Journey of InfluxDB | InfluxDays 2022
InfluxData
 
Announcing InfluxDB Clustered
InfluxData
 
Best Practices for Leveraging the Apache Arrow Ecosystem
InfluxData
 
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...
InfluxData
 
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base
InfluxData
 
Build an Edge-to-Cloud Solution with the MING Stack
InfluxData
 
Meet the Founders: An Open Discussion About Rewriting Using Rust
InfluxData
 
Introducing InfluxDB Cloud Dedicated
InfluxData
 
Gain Better Observability with OpenTelemetry and InfluxDB
InfluxData
 
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...
InfluxData
 
How Delft University's Engineering Students Make Their EV Formula-Style Race ...
InfluxData
 
Introducing InfluxDB’s New Time Series Database Storage Engine
InfluxData
 
Start Automating InfluxDB Deployments at the Edge with balena
InfluxData
 
Understanding InfluxDB’s New Storage Engine
InfluxData
 
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDB
InfluxData
 
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...
InfluxData
 
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022
InfluxData
 
Steinkamp, Clifford [InfluxData] | Closing Thoughts | InfluxDays 2022
InfluxData
 
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...
InfluxData
 
Steinkamp, Clifford [InfluxData] | Closing Thoughts Day 1 | InfluxDays 2022
InfluxData
 
Paul Dix [InfluxData] The Journey of InfluxDB | InfluxDays 2022
InfluxData
 
Ad

Recently uploaded (20)

PDF
HCIP-Data Center Facility Deployment V2.0 Training Material (Without Remarks ...
mcastillo49
 
PDF
Reverse Engineering of Security Products: Developing an Advanced Microsoft De...
nwbxhhcyjv
 
PPTX
Webinar: Introduction to LF Energy EVerest
DanBrown980551
 
PDF
Achieving Consistent and Reliable AI Code Generation - Medusa AI
medusaaico
 
PPTX
AI Penetration Testing Essentials: A Cybersecurity Guide for 2025
defencerabbit Team
 
PDF
Empower Inclusion Through Accessible Java Applications
Ana-Maria Mihalceanu
 
PDF
POV_ Why Enterprises Need to Find Value in ZERO.pdf
darshakparmar
 
PDF
CIFDAQ Weekly Market Wrap for 11th July 2025
CIFDAQ
 
PDF
Agentic AI lifecycle for Enterprise Hyper-Automation
Debmalya Biswas
 
PDF
CIFDAQ Market Insights for July 7th 2025
CIFDAQ
 
PDF
Biography of Daniel Podor.pdf
Daniel Podor
 
PDF
New from BookNet Canada for 2025: BNC BiblioShare - Tech Forum 2025
BookNet Canada
 
PDF
"AI Transformation: Directions and Challenges", Pavlo Shaternik
Fwdays
 
PDF
[Newgen] NewgenONE Marvin Brochure 1.pdf
darshakparmar
 
PDF
Presentation - Vibe Coding The Future of Tech
yanuarsinggih1
 
PDF
Chris Elwell Woburn, MA - Passionate About IT Innovation
Chris Elwell Woburn, MA
 
PDF
Fl Studio 24.2.2 Build 4597 Crack for Windows Free Download 2025
faizk77g
 
PDF
Building Real-Time Digital Twins with IBM Maximo & ArcGIS Indoors
Safe Software
 
PDF
Newgen Beyond Frankenstein_Build vs Buy_Digital_version.pdf
darshakparmar
 
PDF
Using FME to Develop Self-Service CAD Applications for a Major UK Police Force
Safe Software
 
HCIP-Data Center Facility Deployment V2.0 Training Material (Without Remarks ...
mcastillo49
 
Reverse Engineering of Security Products: Developing an Advanced Microsoft De...
nwbxhhcyjv
 
Webinar: Introduction to LF Energy EVerest
DanBrown980551
 
Achieving Consistent and Reliable AI Code Generation - Medusa AI
medusaaico
 
AI Penetration Testing Essentials: A Cybersecurity Guide for 2025
defencerabbit Team
 
Empower Inclusion Through Accessible Java Applications
Ana-Maria Mihalceanu
 
POV_ Why Enterprises Need to Find Value in ZERO.pdf
darshakparmar
 
CIFDAQ Weekly Market Wrap for 11th July 2025
CIFDAQ
 
Agentic AI lifecycle for Enterprise Hyper-Automation
Debmalya Biswas
 
CIFDAQ Market Insights for July 7th 2025
CIFDAQ
 
Biography of Daniel Podor.pdf
Daniel Podor
 
New from BookNet Canada for 2025: BNC BiblioShare - Tech Forum 2025
BookNet Canada
 
"AI Transformation: Directions and Challenges", Pavlo Shaternik
Fwdays
 
[Newgen] NewgenONE Marvin Brochure 1.pdf
darshakparmar
 
Presentation - Vibe Coding The Future of Tech
yanuarsinggih1
 
Chris Elwell Woburn, MA - Passionate About IT Innovation
Chris Elwell Woburn, MA
 
Fl Studio 24.2.2 Build 4597 Crack for Windows Free Download 2025
faizk77g
 
Building Real-Time Digital Twins with IBM Maximo & ArcGIS Indoors
Safe Software
 
Newgen Beyond Frankenstein_Build vs Buy_Digital_version.pdf
darshakparmar
 
Using FME to Develop Self-Service CAD Applications for a Major UK Police Force
Safe Software
 

How to Enable Industrial Decarbonization with Node-RED and InfluxDB

  • 1. Industrial Decarbonisation Node-RED || InfluxDB OCTOBER 2021 100-699
  • 2. Renewable electricity into heat Decarbonise industry Replace fossil fuels 6/10/2021 2 Industrial Decarbonisation
  • 3. Decouple Supply and Usage • Solar • Wind • Surplus
  • 4. Thermal Energy Storage 6/10/2021 4 Decouples input from output (storage) TES
  • 6. • Meaningful reduction in fossil fuel use with no impact to process or product quality • Technology to move storage from the pipeline to the plant • Newly enabled market due to declining PV and wind costs • Increasing gas price + decreasing RE price == opportunity 6/10/2021 6 Customer Value
  • 7. Enabled by Industrie 4.0 DATA DRIVEN SUCCESS 6/10/2021 7
  • 8. Data Drives Everything • Source: ◦ Machines ◦ Customer ◦ Weather ◦ Internal APIs ◦ Third party APIs • Use: ◦ Machine operation optimisation ◦ Remote operation, engineering and reporting ◦ Product development and value engineering ◦ Directing key research activities • InfluxDB helps enable Graphite Energy’s data vision
  • 9. Juelich, DE, Start of Data Journey • 2007 • 2,250 independent machines • Orchestrated in real time • Data collected centrally – traditional historian • Optical calibration analysis batch-based, online • All other analytics batch- based, offline 6/10/2021 9
  • 10. Renewable Heat, Current Day • Log everything • Data collected locally and in cloud • Time series database • Web dashboards • Cloud based analytics • Edge compute analytics • All analytics real-time 6/10/2021 10
  • 11. Data Progression 2007 2021 • ~100 series per machine • Recorded every 1-15s • 1,000,000 records per day 6/10/2021 11 • ~10 series per machine • Recorded every 60s • 15,000 records per day
  • 13. • SQL chokes and Excel doesn’t do time • Specialised for time driven data series • ‘As at’ is more useful than ‘Belongs to’ ◦ Related in time, not space • Write once, read many • Append only 6/10/2021 13 Why Timeseries DB?
  • 14. As At, not Belongs To 6/10/2021 14
  • 15. Life of a Data Series 6/10/2021 15 POST Give me a write, Vasily. One write only, please GET GET GET GET GET GET GET GET GET GET GET GET GET GET GET GET GET GET …… PUT DELETE
  • 16. • Input data is irregular, output is rectangular (in time) ◦ CSV is lingua franca for data exchange of hardware world ◦ Easier to analyse ◦ Provides clocking for digital twin and third-party tooling • Configurable time steps • Time step treatment (Min, Max, Mean, Median, …) • “Can my mechanical engineer drive the QL?” • QL must be FAST (learn, write, execute) 6/10/2021 16 Queries
  • 17. • Production ◦ MSSQL ◦ Azure Time Series Insights ◦ InfluxDB • Tried ◦ Various NoSQL ◦ OpenTSDB ◦ Graphite ◦ KDB 6/10/2021 17 Where have we been?
  • 18. Node-RED and InfluxDB IMPLEMENTATION STRATEGY 6/10/2021 18
  • 19. TS Data Architecture 6/10/2021 19 -K500 (DATA LOGGER) AUX .150 Control Network Local TS DB Machine Data I/F Cloud TS DB Operator/ERP Customer Plant Remote Ops Dashboard/ Engineering Edge Compute Compute API Etc…
  • 20. Data Everywhere 6/10/2021 20 -K500 (DATA LOGGER) AUX .150 .120 -K10, -K11 CTRL 10.10.10.0/24 Switch .254 MODBUS-CONTROL .130 -K400 (THYR) .140 -K20, -K21, -K22 AUX 10.10.20.0/24 Switch .254 MODBUS-AUX -P2 (Energy Analyser) .160 -P1 (HMI) CTRL .111 -K100 (PLC) .110
  • 21. In-Service Digital Twin IN-SERVICE MACHINE DIGITAL TWIN @ EDGE AND REMOTE DATA • Deviation < 5% • 2021 target 2% • Two-way data flow • Real time operation • Optimises production
  • 22. How we do it
  • 23. Get Conf Update Conf Get Data Engineering Post Cache Post InfluxDB OnPrem Post InfluxDB Cloud Post LocalDB Node-RED Workflow
  • 30. Working in Influx DB 6/10/2021 30
  • 31. • Digital twin • Automation: Flow, Python, Grafana • Teams • Email • Batch CSV export Influx Workflow
  • 32. • Create a function 6/10/2021 32 Flux is nice
  • 34. • Get what you want • Data engineering at query time 6/10/2021 34 Flux is nice
  • 36. • Version control  • TDD  • Auth – secrets are hard in live IIOT environments • Lots of engineering for variable connectivity environments 6/10/2021 36 Node-RED Challenges
  • 37. • Debugging Flux gets hard in the Web UI • Use the VSCode plugin • Queries are the razor blades of the cloud service billing – watch out! 6/10/2021 37 InfluxDB Challenges/Tips
  • 38. • What’s next ◦ Scale out (>100x series count) ◦ Python on-device ML ◦ Edge compute ◦ Supported by on-prem and cloud InfluxDB 6/10/2021 CONFIDENTIAL 38 Where are we going?
  • 40. October 11-12, 2021 Hands-On Flux Training October 26-27, 2021 Virtual Experience We look forward to bringing together our community of developers to learn, interact and share tips and use cases. https://www.influxdays.com/influxdays-north-america-2021-virtual-experience/