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Eine ESP8266 und Arduino Wetterstation

Build your own IoT weather station with Arduino and ESP8266! Learn to connect devices, collect data, and explore the Internet of Things. Perfect for beginners!

3.0(1)
25students
4h 8m
Certificate
Daniel Perl
Daniel PerlDozent

Course Content

Eine ESP8266 und Arduino Wetterstation is an all-levels Udemy course taught by Daniel Perl. It runs 4h 8m, is taught in German, and includes a certificate of completion. Learners rate it 3.0 out of 5 from 1 review, with 25 students enrolled. It is a paid course, last updated April 2022.

Learn to build your own WLAN Wetterstation using the popular ESP8266! This comprehensive course guides you through the process of creating a smart weather monitoring system.

You'll discover how to integrate various sensors to gather crucial environmental data:

  • Temperature and Barometric Pressure: Utilize the BMP180 sensor for accurate readings.
  • Humidity and Dew Point: Employ the AHT10 sensor to measure atmospheric moisture.
  • Light Intensity: Incorporate the BH1750 light sensor to quantify light levels in Lux.

Explore different project variations to suit your needs:

  • Local Network Website: Create a web interface accessible within your home network to visualize real-time sensor data.
  • Telegram Bot Integration: Build a Telegram Bot to receive data from your ESP8266 from anywhere in the world. Monitor your weather conditions remotely!
  • Real-time Date and Time: Learn to fetch the current date and time from the internet and incorporate it into your weather data.

Expand your project with advanced features:

  • Wireless Communication: Connect an outdoor station to an indoor station using the efficient ESPNOW wireless protocol. Display data on an LCD display.
  • Data Analysis & Storage: Retrieve maximum, minimum, and average values alongside current readings.
  • Arduino Integration: Build a weather station using an Arduino Microcontroller to display data on an LCD and store it on a Micro-SD card.
  • Data Analysis with R: Analyze your collected weather data using the powerful statistical software R. We'll cover essential R commands for data processing.
  • Python Data Analysis: Further analyze your data using a custom-written Python program. No prior Python experience is required – we'll teach you the necessary programming skills!

This course covers the entire programming process, empowering you to build a sophisticated and informative Wetterstation with the ESP8266. Gain valuable skills in electronics, programming, and data analysis.

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