IOT practice with temperature sensor data

IOT practice with temperature sensor data, available at $44.99, has an average rating of 5, with 15 lectures, 3 quizzes, based on 1 reviews, and has 14 subscribers.

You will learn about Setup development environment for internet of thing (IoT). Transmit temperature data between android breadboard and ESP. Transmit temperature data from ESP to RaspberryPi. Output temperature value in RaspberryPi. This course is ideal for individuals who are People who curious about internet of thing and are interesting to get hands dirty for IoT practice It is particularly useful for People who curious about internet of thing and are interesting to get hands dirty for IoT practice.

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Summary

Title: IOT practice with temperature sensor data

Price: $44.99

Average Rating: 5

Number of Lectures: 15

Number of Quizzes: 3

Number of Published Lectures: 15

Number of Published Quizzes: 3

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: €39.99

Quality Status: approved

Status: Live

What You Will Learn

Setup development environment for internet of thing (IoT).
Transmit temperature data between android breadboard and ESP.
Transmit temperature data from ESP to RaspberryPi.
Output temperature value in RaspberryPi.

Who Should Attend

People who curious about internet of thing and are interesting to get hands dirty for IoT practice

Target Audiences

People who curious about internet of thing and are interesting to get hands dirty for IoT practice

IOT practice with temperature sensor data

Reading and visualisation of temperature data is a good example to help us understand the world of IoT. It is easy to implement and you can find out more interesting user scenario anytime if you want.

As NodeMCU LoLin contains a WIFI modes, we can publish temperature to remote server, which means when you finish this course, you are able to send the temperature data to everywhere you want. As the IoT hardware in this course are powered by Battery, it also means you can get the temperature data from everywhere, what you need is a WiFi Hotspot (or from SmartPhone).

Actually we can just connect NodeMCU LoLin directly to temperature sensor DHT22, get temperature data from it and then publish it to a remote Raspberry Pi. But in this course, i just wanna show you how to use an Arduino UNO in between. One reason is: With this solution you have more free pins. For the future, if you wanna connect more IoT Hardwares to NodeMCU LoLin, the IoT infrastructure has already been good prepared by this project.

Through this IoT project you will learn:

Hardware
- Connect IoT hardware components so that they can work toghter.
- Power up IoT hardware.
Software
- How to get temperature data from a temperature sensor DHT22.
- How to forward temperature data from sensor to Arduino UNO.
- How to connect Arduino UNO and NodeMCU LoLin by using Breadboard.
- How to forward temperature data from Arduino UNO to NodeMCU LoLin.
- How to transmit temperature data from NodeMCU LoLin to remote Raspberry Pi via MQTT Message.
Development Environment
- Setup Development environment using Arduino IDE and Visual Studio Code.
- Programming and Upload code from laptop to Arduino Uno and NodeMCU LoLin.
Production Environment
- Use Battery supply for IoT Hardware so that you can take your IoT Hardware everywhere.

Course Curriculum

Chapter 1: Introduction of project

Lecture 1: Introduction of project

Chapter 2: Setup hardware

Lecture 1: IoT Hardware for the project

Lecture 2: Connection of IoT Hardware

Lecture 3: Power up IoT Hardware

Chapter 3: Setup Development Environment

Lecture 1: Introduction and setup Arduino IDE

Lecture 2: Setup Raspberry Pi

Lecture 3: Setup Visual Studio Code

Chapter 4: Implementation

Lecture 1: Introduction of Implementation

Lecture 2: Arduino Uno: Read and transmit temperature sensor data to NodeMcu LoLin

Lecture 3: Arduino Uno: Output and Upload firmware to Arduino Uno

Lecture 4: NodeMcu LoLin: Receive and publish sensor data

Lecture 5: NodeMcu LoLin: Output and upload firmware to Lolin

Lecture 6: Raspberry Pi: Subscribe MQTT Message

Chapter 5: Summary

Lecture 1: What we have learned

Lecture 2: Outlook

Instructors

Yu Li
Software developer and Founder

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5 stars: 1 votes

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