HARDWARIO STEM lessons
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English
  • Annotation of HARDWARIO Active STEM Education
  • Target Group and Student's Profile
  • Expected Results and Evaluation Method
  • Time Allocation
  • Didactic Tools and Environmental Demands
  • STEM Lessons
    • L101: What is IoT
    • L102: HARDWARIO TOWER IoT Kit
    • L103: IoT Push Button
    • L104: IoT Temperature and Humidity Monitor
    • L105: IoT Indoor Air Quality Monitor
      • Introduction
      • Theory
      • Experiment
      • Application
      • Presentation
      • Assessment
    • L106: IoT Vibration Monitor
    • L107: IoT Light Monitor
    • L108: IoT Pulse Monitor
    • L109: IoT Soil Monitor
      • Introduction
      • Theory
      • Experiment
      • Projects
      • Presentation
      • Assessment
    • L110: IoT Burglar Alarm
    • L111: IoT Thermostat
    • L112: IoT Controller
    • L113: IoT Display
    • L114: IoT GPS Locator
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  • Tips for projects in the Apply phase
  • Project Assignment for Apply phase: Integration with LED strip and Power Module
  • Project Assignment for Apply phase: Playgroundu replacement for the Python script
  • Project Assignment for Apply phase: Modeling and printing the enclosure on a 3D printer

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  1. STEM Lessons
  2. L105: IoT Indoor Air Quality Monitor

Application

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Last updated 3 years ago

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Time allocation: 2H Module: 15 mins. 4H Module: 45 mins. 8H Module: 3 x 45 mins. Keywords: #HARDWARIO #Project #Team_work #Ideation #Brainstorming

You will work in teams under the supervision of a lecturer on your own projects related to the topic of the lesson. Projects are commissioned in order to build on experiments and to discover new applications and expand your knowledge and skills.

In the case of the 2H module, we will replace the work on our own projects with Ideation, in which you will propose a real use of the knowledge gained by theoretical explanation and experiments. We write down the ideas in the graph, where on the x-axis you estimate the effort (cost) of the project and on the y-axis the impact of the solution.

Tips for projects in the Apply phase

  • Integration with LED strip and Power module

  • Playground replacement for the Python script

  • Modelling and printing the box on a 3D printer

  • Integration with Microsoft Excel

  • Integration with Microsoft Azure platform

  • Integration with AWS platform

  • Integration with Grafana

  • Integration with Google Assistant

  • Integration with Alexa

Project Assignment for Apply phase: Integration with LED strip and Power Module

Project Description

The project deals with integration with another module of the kit - Power Module and visual notification of CO2 concentration on the connected LED strip.

Project Assignment for Apply phase: Playgroundu replacement for the Python script

Project Description

The project deals with Node-RED flow replacement for Python script. Here is a sample code that will provide visual notification of the exceeded CO2 concentration on the attached LED strip.

Project Assignment for Apply phase: Modeling and printing the enclosure on a 3D printer

Project Description

In this experiment, we print the enclosure used in the CO2 monitor on a 3D printer. STL models can be found here:

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