IoT Laboratories

• Grading and Projects
  • Table of Contents
  • Grading
  • Laboratories
  • Projects
    • Project Deliverables:
  • Project Suggestions
    • People Flow
    • Building Automation - Blinds
    • Patient Tracking
    • Car Battery Charging
    • Classroom Monitoring
    • Robot Maintenance Interface
    • Building Automation – Intelligent Fire Alarm
    • Building Automation – Person identification and comfort settings
    • Aqara Sensors/Actuators
    • Aqara Sensor System
    • myStrom
  • Entrepreneurial Track
• 01 - Setup Laboratory
  • 1. Introduction
  • 2. Learning Aims
  • 3. Prerequisites
  • 4. Getting started
    • 4.1 Environment overview
      • 4.1.1 General notes about the IoT lab infrastructure
    • 4.2 Remote Laboratory
    • 4.3 Preparing the hard disk image
      • 4.3.1 Download the hard disk image
      • 4.3.2 Copying the image onto the [micro]SD card
    • 4.4 Assemblage of the Raspberry Pi
      • 4.4.1 GrovePi module
      • 4.4.2 Assemblage
      • 4.4.3 Firmware upgrade of the Grove Pi hat
      • Known Issue (only on Raspberry Pi 1 Model B)
  • 5. Execute a first test application
    • 5.1 Launch application
    • 5.2 Study the source code
    • 5.3 Brief information about Python
  • 6. Write a simple Python application for the GrovePi board
    • 6.1 GrovePi board setup
    • 6.2 Application behavior
  • 7. Grading
  • 8. Annex
    • 8.1 Edit the source files on the development machine (not directly on the Raspberry Pi)
• 02 - CoAP
  • 1. Introduction
  • 2. Learning Aims
  • 3. Prerequisites
  • 4. Getting started
    • 4.1 A few words of introduction
    • 4.2 Preparation of the hardware
    • 4.3 Installation of the required packages (already installed)
    • 4.4 Upload and test the provided code template
      • 4.4.1 Upload data to the Raspberry Pi
        • Raspberry Pi
        • Windows
        • Linux
    • 4.5 Browsing CoAP resources
      • 4.5.1 coap-client as part of the libcoap project (CLI)
        • coap-client examples
        • coaping program
      • 4.5.2 Copper (Cu) addon for the Firefox web browser (GUI)
  • 5. Analysis of the CoAP protocol
    • 5.1 First CoAP request / resource detection
      • 5.1.1 Persistently storing (CoAP) network data captures
    • 5.2 CoAP in deep
      • 5.2.1 Your tasks
      • 5.2.2 Known Bugs / Errata
  • 6. The CoAP_thing application
    • 6.1 Study the architecture
      • 6.1.1 aiocoap - The Python CoAP library
      • 6.1.2 Basic concept
      • 6.1.3 Object diagram
      • 6.1.4 Network situation
    • 6.2 Expand the application
      • 6.2.1 Scenario: 2 RPi’s, 1 button, 2 LED’s
      • 6.2.2 Scenario: 2 RPi’s, 1 button, 1 rotary angle sensor, 3 LED’s
  • 7. Prepare your own IoT project
    • 7.1 Your tasks
  • 8. Grading
• 03 - MQTT
  • 1. Introduction
  • 2. Learning Aims
  • 3. Prerequisites
  • 4. Getting started
    • 4.1 A few words of introduction
    • 4.2 Preparation of the hardware
    • 4.3 Installation of the required packages (already installed)
  • 5. MQTT Basics
    • 5.1 Publish and subscribe
      • 5.1.1 Mosquitto broker as a service
      • 5.1.2 Go deeper, hack it!
    • 5.2 User Authentication and Access Control Lists
      • 5.2.1 It’s all about users and their passwords
      • 5.2.2 Authorized but insufficient access rights
  • 6 The MQTT_thing application
    • 6.1 MQTT broker
    • 6.2 Upload and test the provided code template
    • 6.3 Study the architecture
      • 6.3.1 Basic concept
      • 6.3.2 Network situation
    • 6.4 Expand the application
      • 6.4.1 Scenario: 2 RPi’s, 1 button, 2 LED’s
      • 6.4.2 Scenario: 2 RPi’s, 1 button, 1 rotary angle sensor, 3 LED’s
  • 7 Grading
• 04 - Cassandra
  • Introduction
  • Prerequisites
  • Getting started
    • Environment overview
    • Alternate environment setup
  • Setting up the guest machine “iot-lab-vsrvr”
  • Apache Cassandra
    • Introduction
      • Architecture Overview
      • Snitches
    • Installation
    • Get in touch with the cqlsh and CQL
      • Keyspaces
      • Table creation
      • Inserting data
      • Deleting data
  • Store the data provided by the Raspberry Pi’s
    • Provide data from the Raspberry Pi
    • Sensor Markup Language – SenML
    • Process received data with Apache Storm
      • Architecture Overview
  • Grading
• 05 - IoT Air-Lock
  • Introduction
  • Learning Aims
  • Prerequisites
  • Getting Started
  • Information
    • OMA (Open Media Alliance)
      • OMA LightweightM2M v.10
      • Leshan
    • OPC-UA
  • Features and Differences OPC-UA vs. LWM2M
    • LWM2M
    • OPC-UA
  • Scenario of this Laboratory
    • Bank Security Lock
    • The Lock Model
  • Preparation
  • Task 1 - Inspection of the Mechatronic Unit ‘Gate’ and Completion of the Finite-State Machine
  • Task 2:
  • Task 3: Leshan Web Interface
    • Run LWM2M
  • Task 4 - Completion of Lock Control via API
    • Run LwM2M + API Lock Control
  • Grading
  • Version