Introduction to Microsoft Azure IoT
•Download as PPTX, PDF•
2 likes•4,810 views
This document introduces Microsoft Azure IoT services and patterns for building Internet of Things (IoT) solutions. It describes the key components of an IoT product including sensors, communication methods, devices, device management, and data processing. It outlines how Azure IoT Hub, IoT Suite, gateways, and other services can be used to ingest sensor data, apply machine learning, store and analyze data, and send commands to devices. An example scenario of a simulated car device is provided. The document encourages leveraging Azure's breadth of platform as a service offerings to build transformative IoT applications.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Introduction to Microsoft Azure IoT
Similar to Introduction to Microsoft Azure IoT (20)
More from Altoros
More from Altoros (20)
Recently uploaded
Recently uploaded (20)
Introduction to Microsoft Azure IoT
- 1. _________________________________________________________________________ Introduction to Microsoft Azure IoT Raheel Retiwalla, Principal Architect, BlueMetal raheelr@bluemetal.com
- 2. _________________________________________________________________________ Sensor Communicati on Method Device Device Mgmt Sensor Communicati on Method Device Device Mgmt Sensor (s) Communicati on Method Device Device Mgmt SDK Operating System Network Connectivity (2G/3G/LTE), WiFi, Zigbee, Satellite, Low Energy Wireless, Bluetooth Device Management Service Provisioning Device Discovery Service Management Device Health Sensor Data Service Data Data Ingestion Machine Learning Events / Rules Data Storage Data Processing Correlation Data Visualization Business Process Alerts Device Commands Insert / Update / Delete Application The Anatomy of an IoT Product Gateway Device Provisioning
- 3. _________________________________________________________________________ Microsoft IoT Services and Patterns
- 4. _________________________________________________________________________ IoT Application Pattern
- 6. Cognitive Understanding Intelligent Bots See Hear Learn Perceive Differentiate with intelligent solutions Digital Assistants Predictions Monitoring & Alerts Task Completion
- 7. _________________________________________________________________________ Sensor Communicati on Method Device Device Mgmt Sensor Communicati on Method Device Device Mgmt Sensor (s) Communicati on Method Device Device Mgmt SDK Operating System Network Connectivity (2G/3G/LTE), WiFi, Zigbee, Satellite, Low Energy Wireless, Bluetooth Device Management Service Provisioning Device Discovery Service Management Device Health Sensor Data Service Data Data Ingestion Machine Learning Events / Rules Data Storage Data Processing Correlation Data Visualization Business Process Alerts Device Commands Insert / Update / Delete Application The anatomy of an IoT Product using Azure Services Gateway Device Provisioning Azure IoT Suite Device SDK Azure IoT Hub Azure IoT Hub Azure IoT Hub Azure IoT Suite Gateway SDK Intelligent Bots
- 8. _________________________________________________________________________ A sample scenario • Simulated car device – Emits telemetry every second – State machine (StartingStartedStopping Stopped) • Device registry to query devices and track provisioning • Device identity and key stored in IoT hub • Device emits telemetry • Event processor receives telemetry and updates portal visualization • Send commands • App sends commands to devices • Command lifecycle is stored in device registry Event Processor Device registry App Command store IoT Hub Device id C2D queue endpoint D2C send endpoint Device … Device … Device … D2C receive endpoint C2D send endpoint IoT Hub management
- 9. _________________________________________________________________________ Demo Application • Built a sample app to demonstrate the services working together: – Device Registry Application – Device and Data Simulator – Analyze events with Stream Analytics – SQL Azure Database – Power BI Reports – Github download - https://github.com/raheelr/IoT-App-Azure
- 10. _________________________________________________________________________ Takeaways • Leveraging cloud PaaS services enables many business models possible today • Microsoft has the breadth and depth of PaaS services required to build transformative applications • Lets work together to define models on leveraging Predix and Azure – raheelr@bluemetal.com
- 11. _________________________________________________________________________ THANK YOU Sample IoT Code: https://github.com/raheelr/IoT-App-Azure https://github.com/bobfamiliar/d2c2d Microsoft MyDriving App Email : raheelr@bluemetal.com Twitter : @raheelr
Editor's Notes
- 3
- Cortana Intelligence helps you Interact with customers and stakeholders in new ways and infer intent with vision, face, speech, text and sentiment analysis to customize responses and drive appropriate actions. The Vision, Face, Text and Speech APIs enable these new types of scenarios. What we showcased with www.how-old.net is a small example of what is possible. For more details you can try these out at http://gallery.cortanaanalytics.com/machineLearningAPIs
- The Cortana Intelligence Suite integrates with Cortana, Microsoft’s digital personal assistant. Cortana works with the Cortana Intelligence Suite to enable your business, and or your customers business, to get things done in more helpful, proactive, and natural ways. Building on years of Microsoft’s research and innovation in perceptual intelligence including speech recognition, natural user interaction, predictive and advanced analytics, Cortana brings the capabilities of a personal digital assistant to business.