The document discusses how Kepware enables Industry 4.0 and the Internet of Things (IoT) by providing connectivity solutions that allow industrial devices and systems to communicate and share data in real-time. Kepware's platform collects data from a variety of industrial assets via various protocols and sends the data to analytics tools like Splunk for monitoring, predictive maintenance, and other applications. The document also outlines Kepware's support services and how their solutions can provide benefits across different industrial sectors like manufacturing, building automation, and intelligent lighting systems.

1. Enabling Industry 4.0 with Kepware
Steve Lim | Sales Engineer

2. IoT or Industry 4.0?
• IoT : Physical world is becoming a type
of information system—through
sensors and actuators embedded in
physical objects and linked through
wired and wireless networks via the
Internet Protocol.
• Industry 4.0: Manufacturing Production
built upon the concept and enabled by
IoT. Everything is networked and
interlinked with everything else.
2

3. Internet of things model
Services
Things

4. Production Machine Data
PLCs, SCADA, HMI, ICS,
Production Input, output
RFID Tags, Barcode Scanners,
Robots Arms, Cell Machines, CNC,
Custom Devices, Packaging , Storage,
Switches, Routers ,UPS,Servers, Security
Disparate|High Velocity | High Volume | Real-time

5. 5
Complete Visibility into Edge Devices
• Root Cause Failures
• System Correlation
• Complete Operational visibility
• Fast, Flexible configuration with Search
Processing Language
• Geo Spatial Systems
• Smart Industrial Systems
IIoT application

6. Real-time Connectivity Solution to enable interoperable “Things”
IIoT enabled service oriented architecture
Data Modelling of raw unstructured data
MES/POP SCNERP SPC
Industrial
Data
Analytics
Highly Flexible solution
High Volume
High Velocity
High Performance
Devices that now interoperates and communicates with one another

7. Datalogger
MQTT REST C AMQP CoAP
IoT API
Splunk IDF
Connectivity
Historian
OPC Connectivity
Suites
Web Apps
External DCS/ICS
ODBC Database
or Historian
Kepware IIoT Solution Overview

8. Device Kepware IoT Plugin / IDF
IIoT Application
/ Traditional
HMI
Fastest time to live IIoT Solution with Kepware
Already completed OR connect to your device in 5 min Simple installation to make the data accessible

9. Kepware IoT Plugin
• Measurement, Verification, and Constant
Commissioning: Ensure that devices in the field operate
as intended.
• Capacity Planning: Monitor data for risk of unplanned
device or system downtime.
• Root-Cause Analysis and Remote
Troubleshooting: Gain a better understanding of the
cause of a particular failure on a particular device and
improve efficiency.
• Anomaly and Outlier Detection: Identify outliers that
may be an early indicator of issues in device production
or deployment.
• Safety, Security, and Compliance: Gain visibility into
system performance or set points that could put
machines or people at risk, and quickly develop and
access reports for compliance purposes.
• Cybersecurity: Improve security posture across
industrial systems to mitigate emerging cybersecurity
threats.

11. Kepware Industrial Forwarder

12. Kepware Communications Platform
IIoT enabled service oriented architecture
Splunk IDF
Splunk >
Devices that now interoperates and communicates with one another
(M2M)

13. Building Automation
Real Time HVAC Data from
Kepware for machine based
condition monitoring
Quick Glance for System ROI and KPI
Geographic Monitoring
capabilities
In depth analytics and stats
for root cause analysis
Historical Trending for
predictive analysis

14. Intelligent Lighting Systems

15. Remote monitoring of asset

16. Do more with your data.

17. Grant your system intelligence with Splunk Machine
Learning

18. Predict Downtime based on your historical
data
Predict the value of a numeric field using a weighted combination of the
values of other fields in that event. A common use of these predictions is
to identify anomalies: predictions that differ significantly from the actual
value may be considered anomalous. IT admins could predict the values of
sensors that were malfunctioning; security analysts could predict how
much data a user is likely to transfer and flag unusually high prediction
errors; and business analysts could predict the likely spending habits of
customers.
Algorithm: Linear Regression

19. Detect Outliers
Find values that are far from previous values. IT admins could
look for machines with unusually high resource utilization;
security analysts could look for employees transfering
unusually large amounts of data; and business analysts could
identify big spenders.
Algorithm: Distribution statistics

20. Forecast your production data
Predict likely future values given past values of a metric
(numerical time series). IT admins could perform capacity
planning by forecasting when a resource will be exhausted;
security analysts could identify subtle attack signatures by
finding trends; and business analysts could forecast earnings
and other business metrics.
Algorithm: State-space Method using Kalman Filter

21. Product Support
• Local Phone and Email
• Demo and proof of concepts
• Local engineering and sales support
• Your local representative:
Support team with extensive Industry
knowledge and experience.
Available via Phone, email and web request.
Utilize documents, conversations and remote
access to fix issues.
License Recovery from Server Hardware Failure
Knowledge base available 24 hours a day, 7
days a week via web access.