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Brian Gilmore [InfluxData] | Use Case: IIoT Overview | InfluxDays 2022

This session explores the challenges of modernizing industrial operations and shares insights into using modern technologies to monitor, optimize, and predict in the industrial IoT sector.

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Brian Gilmore [InfluxData] | Use Case: IIoT Overview | InfluxDays 2022
Use Case: IIoT
Overview
Brian Gilmore
Director of IoT and Emerging Technologies,
InfluxData
Connect Learn Build
Hear from and meet developers
from the InfluxDB Community
Be inspired by use cases from
our partners and InfluxDB engineers
Learn best practices that will
help you build great experiences
for your projects
This session explores the challenges of modernizing
industrial operations and shares insights into using
modern technologies to monitor, optimize, and predict in
the industrial IoT sector.
Brian Gilmore
Director of IoT and Emerging
Technologies, InfluxData
Brian Gilmore is Director of IoT and Emerging
Technology at InfluxData, the creators of InfluxDB. He
has focused the last decade of his career on working
with organizations around the world to drive the
unification of industrial and enterprise IoT with machine
learning, cloud, and other truly transformational
technology trends.
Use Case: IIoT Overview
Agenda
1. Challenges modernizing industrial operations
2. The diminishing relevance of industrial process
historians
3. Using modern technology stacks to monitor,
optimize, and predict industrial operations
Industrial IoT encompasses industrial
sectors and applications, including
robotics, smart sensors, and
software-defined production processes
Ad

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Brian Gilmore [InfluxData] | Use Case: IIoT Overview | InfluxDays 2022

  • 2. Use Case: IIoT Overview Brian Gilmore Director of IoT and Emerging Technologies, InfluxData
  • 3. Connect Learn Build Hear from and meet developers from the InfluxDB Community Be inspired by use cases from our partners and InfluxDB engineers Learn best practices that will help you build great experiences for your projects
  • 4. This session explores the challenges of modernizing industrial operations and shares insights into using modern technologies to monitor, optimize, and predict in the industrial IoT sector. Brian Gilmore Director of IoT and Emerging Technologies, InfluxData Brian Gilmore is Director of IoT and Emerging Technology at InfluxData, the creators of InfluxDB. He has focused the last decade of his career on working with organizations around the world to drive the unification of industrial and enterprise IoT with machine learning, cloud, and other truly transformational technology trends. Use Case: IIoT Overview
  • 5. Agenda 1. Challenges modernizing industrial operations 2. The diminishing relevance of industrial process historians 3. Using modern technology stacks to monitor, optimize, and predict industrial operations
  • 6. Industrial IoT encompasses industrial sectors and applications, including robotics, smart sensors, and software-defined production processes
  • 7. Challenges in Modernizing Industrial Operations • Security • Governance • Expense • IT/OT Misalignment • Technology Barriers • Contextual Enrichment • Operational Know-how • Tribal Knowledge • Real-time • Systems Integration • Safety, Availability Local Awareness Domain Expertise Remote Visibility
  • 8. Relevance of Industrial Process Historians The Good • Real-time • OT Integration • Familiar The Bad • Cost • Complexity • Siloed The Ugly • IT Integration • Slow Innovation • Limits: • Innovation • Creativity • Experimentation • Collaboration
  • 9. Where we can all make an impact • Experimentation & innovation • Observability in IIoT • The rise of digital natives • The opportunity with emerging technologies • The future of industrial operations
  • 10. A Different Approach to IIoT Sensors Metrics Events Transactions Instrumentation InfluxDB Edge Nodes (OSS) Functions*: Input configuration Input monitoring Timestamping Linebreaking Whitespace handling In-stream processing Line Protocol Conversion Output configuration Output routing InfluxDB Clusters (Enterprise or Cloud) REST API Client Libraries Data Explorer Notebooks Visualizations Time Series Applications Monitor, Troubleshoot, Alert, Predict, Automate Edge Datacenter Cloud Kafka Kinesis CSP Pub/Sub Cloud Native Telegraf
  • 11. Getting There with InfluxDB Data Sources InfluxDB Purpose-Built Time Series Database Visualization, Query & Task Engine Collect Transform Downsample Trigger Integrations Applications & Use Cases Applications/Services • SCADA (Supervisory Control and Data Acquisition) • MES (Manufacturing Execution Systems) • ERP (Enterprise Resource Planning) • EAM (Enterprise Asset Management) • CMMS (Computerized Maintenance Management Systems) Devices/Infrastructure • PLCs (Programmable Logic Controllers) • HMIs (Human to Machine Interface) • Robotics (Assembly, Co-bots, Logistics) • Sensors (Legacy OT and Modern IoT) • Other Devices (Fab Machines, Lab & QA) Telegraf • MQTT Consumer • OPC UA • Modbus • HTTP • Kafka • AWS Kinesis • Azure Event Hubs • GCP Pub Sub Client Libraries • Python • Arduino • Node.js • JavaScript • Monitoring and Diagnostics • Failure Detection and Forensics • Supervised/Intelligent Automation • Predictive Maintenance • Process Optimization • Resource Optimization • Customer and Client Visibility • Alerting Frameworks Partner Solutions • PTC Kepware • PTC Thingworx • Bosch CtrlX • Siemens WinCC OA • HighByte Alert
  • 12. A Simple Stack with Unlimited Potential Processes and Assets Middleware InfluxDB Applications Edge Cloud Datacenter ICS/SCADA Plant/Factory Robotics
  • 13. What You Can Accomplish Supply Chain Optimization New Lines of Business Workforce Optimization Cost Reduction Improved Efficiency InfluxDB
  • 14. i n f l u x d a y s . c o m