M5Stack IoT Weather Station Discontinued
The M5Stack IoT Weather Station is an interdisciplinary teaching kit. A control core integrates the data collected by sensors to simulate the functions of a weather observation station and upload records to the cloud, combining information technology with earth science.


Hardware specifications


| Control core | ESP32 |
| Built-in microphone, buttons, and LCD screen | |
| Power/back button | |
| 3-axis gyroscope | |
| TF card slot (expandable up to 16 GB) | |
| Built-in lithium battery | |
| Expandable GPIO pins and interfaces | |
| M-Bus socket and pins | |
| Components and modules | M5Stack environmental sensor module |
| M5Stack GPS module | |
| M5Stack GROVE port I2C expansion module | |
| M5Stack GROVE port I/O expansion module | |
| Circus Pi Weather Board | |
| Weather meter DIY weather station kit | |
| Dimensions (cm) | 35 × 35 × 76 (W × D × H) |
Product features
Common weather forecast content in daily life includes air pollution, ultraviolet (UV) levels, wind field forecasts, temperature observations, and rainfall observations. From weekly forecasts to current accumulated rainfall, and from the transport trend of cross-border air pollution to real-time lightning observation, weather data of every kind, long-term or short-term, relies on tens of thousands of sensors spread across the atmosphere. The large volume of observations they collect is sent over the network in real time to numerical weather prediction systems, assimilated into the models, and ultimately becomes the forecast data we can easily get in daily life.
The M5Stack IoT Weather Station is an interdisciplinary teaching kit. The M5Stack CORE Basic control core integrates the data collected by the sensors to simulate the functions of a real weather observation station and uploads records to the cloud. It combines information technology with earth science: besides learning how atmospheric environmental parameters affect the weather, students learn basic electricity from the design principles of the rain gauge, anemometer, and wind vane, and write data-processing programs to understand how IoT devices communicate with databases. Beginners can use UiFlow to write a weather monitoring program and, with a network connection, upload the values observed by the sensor modules to a ThingSpeak database for recording.


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