An industrial dataOps solution using a time series database can improve overall equipment effectiveness (OEE) in three key ways: 1. It stores industrial time series data with important context like descriptions, locations, and measurement units that raw industrial data lacks. 2. It standardizes and normalizes inconsistent data points across devices to make the data usable outside of process controls. 3. HighByte Intelligence Hub is presented as an example solution that can collect, standardize, and publish industrial data in real-time to enable analytics and business improvements.

1. How an Industrial DataOps Solution Improves OEEWith
aTime Series Database
Aron Semle, HighByte CTO

2. Agenda
HighByte’s approach to providing context to industrial data
Intro to HighByte Intelligence Hub
01
Storing time series data with context
02
Enabling OEE
03
How to use Intelligence Hub and InfluxDB to store time series
data with context
How to use Fluxlang to quickly enable OEE (overall equipment
effectiveness) applications
2

3. 3
We are on amission toprovide manufacturers with the
critical datainfrastructure needed toachieve Industrial
Transformation.
Founded in August 2018
Headquartered inPortland, Maine

4. Manufacturing’sTechnology Landscape Has Changed
Industrial data architectures have become exponentially more complex
4

5. 5
 Designed andorganizedfor process controls
 Represents data points andstructures ofnative devices
 High number ofdevices anddata points
 Inconsistent data points across like devices
 Lacks standarddefinitions
 Units and units ofmeasure differ
 No context (descriptions, location, ranges, etc.)
 Requires correlation across machine, process, product
 Down sampling, filtering, andsummarizing
Raw Industrial Data is Unusable
Controls data tags lack context and uniformity

6. 6
Data Challenges areThreatening Industry 4.0 Success
The existing data infrastructure does not support scale and broad adoption
Business Problems
 ITsystemsusingindustrialdataarenotscaling
scaling
 Infrastructureisnotresilient
 Securityisunknown
 Analyticsarenottrusted
 Businessimprovementsarenotachieved
achieved
Industry4.0hasdramaticallyincreasedthenumberofusers
andsystemsthatwantaccesstoindustrialdata.
Controlsdatatagslack contextanduniformity.Thedataisnot
correlatedforuse outsideofprocesscontrol.
Writingand maintainingcustomintegrationcode, preparing
data,andredundantlymodelingdatain eachend application
istime-consuming.

7.  Data modeling andmanagement abstraction layer
 Standardizeandcontextualizeinformationmodels
 Manageinformationflows
 Designed for OT information accessibility
 Edge-native,on-premises
 Light-weight
 Web-based
 Systemagnostic
 Codelessinterface
 Flexible,sustainable,maintainable
7
Introducing HighByte Intelligence Hub
The Industrial DataOps solution that streamlines your data integrations

8. 8
Built for Industrial Data
 Real-timedatacollectionandpublication
 OPCdatastandardization,normalization,and
documentation
 DirectAPIsupport
 Integrationby target
 Built-inOPCUAandMQTTsecurity
Designed for OT
 Platformandsystemagnostic
 Easilyembedded
 Deployedon-premises,nearindustrialdatasources
 Light-weight
 Code-freeconfiguration
Ready toScale
 10,000+dataflowssupportedwithnobuilt-inproduct
limitations
 OPCUAaddressspacebrowsing
 Reusablemodels
 Fasttodeploy,easytomaintain
Why HighByte Intelligence Hub
Designed for OT to unlock the value of industrial data for the enterprise

9. 9
 Join the trialprogram: highbyte.com/try-and-buy
 Contactsales@highbyte.com to request avirtual meeting andproduct demonstration
 Identify a pilotproject andgetstarted
Next Steps
Try the software for free in your unique environment
Aron Semle
Chief Technology Officer
aron.semle@highbyte.com

10. We look forward to bringing together our
community of developers to learn, interact
and share tips and use cases.
10-11 May 2021
Hands-On Flux Training
18-19 May 2021
Virtual Experience
www.influxdays.com/emea-2021-virtual-experience/