Internet Of Things: Convergence
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The legacy of industrial based networks is now evolving into the data infrastructure layer of the, 'Internet Of Things. With billions of devices about to be connected to the internet, there are signs of a convergence. A convergence between industrial and consumer, physical and virtual, man and machine. Everyday activities in the real world will have the potential to be augmented, improved and integrated into our digital lives by means of a smooth, flawless user experience. Welcome to the Internet Of Things.
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Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Internet Of Things: Convergence
- 1. THE INTERNET OF THINGS Convergence Daniel Kolodziej
- 2. The Internet Of Things A system where the internet is connected to the physical world via ubiquitous sensors ! • Globally unique identifiers • Ability to wirelessly communicate • Sensing ability • Can be controlled remotely
- 3. Industrial legacy Not 100% new • PLC’s (Programmable Logic Controllers) • DCS (Distributed Control Systems) • SCADA (Supervisory Control And Data Acquisition) • ‘Closed’ proprietary LAN networks
- 4. Industrial Internet ‘Open’ industrial strength platforms • GE - Predix • Echelon • Evrything Connecting sensors, actuators & assets • Reliable • Secure • Robust
- 5. “If you went to bed last night as an industrial company, you’re gonna wake up in the morning as a software and analytics company” Jeff Immelt: CEO & Chairman of GE (2014)
- 6. Benefits • Asset monitoring, optimisation & maintenance • Product & system design innovation • Higher levels of automation • Huge amounts of data collection & analysis BIG DATA= BIG $
- 7. Gartners Hype Cycle Technology Trigger Peak of inflated expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity Visibility Time IoT- now IoT- 5yrs
- 8. Technology Adoption Curve ! ! 5yrs Innovators Early Adopters Early Majority Late Majority Laggards
- 9. By the numbers: 2020 • 4.9bn devices by 2015 • 25bn devices by 2020 - 3 per person • Enterprise accounts for most revenue • 2020 market valued at $7.1 trillion • 13bn consumer connected devices by 2020 Source: Gartner 2014
- 10. Applications Power & utilities Industrial Automotive • Internet enabled thermostats & lighting • Efficient power consumption • Continuous feedback • Adjustment relative to environment • Plant monitoring & optimisation • Analysis & maintenance • Automation - economies of scale • Fleet tracking • Road & car sensors • Hands free driving • Traffic management Healthcare Retail Financial • Sensors monitoring vitals • Intelligent hospital environments • Health insurance premium integration • Smart stock monitoring • Logistics & supply chain • Frictionless marketing • Intelligent risk management • Asset tracking • Minimise direct & indirect costs
- 11. Convergence Mobile Home Transport Smart city Tablets Thermostats- NEST Smart IPTV Commercial Personal Public Infrastructure Doctors/Hospital Smartphones Wearables Bionics Shopping
- 12. Moon shots • Augmenting humans • Human to machine interface - HCI, VR • Complex event prediction and processing
- 13. Issues on the horizon • Lack of standards - protocol wars • Security - hacking • Privacy • Environmental • ROI
- 14. CONVERGENCE ! Virtual Industrial Human ! ! Physical Consumer Machine !