senseBox Documentation

website·Indexed 35 days ago

https://docs.sensebox.de

Technical documentation for senseBox measurement stations and boards, including the MCU, MCU S2, and Eye. Covers hardware assembly for products like the CO2 Traffic Light (CO2ampel) and senseBox:bike, sensor connections (e.g., DS18B20), and programming guides for Blockly, openRoberta, and CircuitPython using the Mu Editor.

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What's inside senseBox

  1. Overview of senseBox:home IoT Environmental Station

    The senseBox:home is an IoT environmental measurement station designed for outdoor use. It is primarily used by citizen scientists, interested individuals, and municipalities to collect environmental data at residential or specific outdoor locations.
  2. Overview of senseBox:bike hardware

    The senseBox:bike is a mobile environmental sensor for bicycles that utilizes AI capabilities. It is equipped with the following hardware sensors:

    • Temperature and Humidity sensor
    • Acceleration sensor (MPU6050)
    • Particulate matter sensor (SPS30)
    • Ultrasonic distance sensor
  3. Overview of senseBox:bike hardware capabilities

    The senseBox:bike is a mobile environmental sensor device for bicycles that utilizes AI capabilities. It is equipped with the following hardware sensors: temperature and humidity sensor, acceleration sensor (MPU6050), SPS30 fine dust sensor, and an ultrasonic distance sensor.
  4. Overview of the senseBox I2C Multiplexer

    The senseBox I2C multiplexer allows up to eight devices with the same I2C address to be operated in parallel via the I2C bus. This is particularly useful for connecting multiple identical sensors. The device is based on the Texas Instruments TCA9548A chip and is compatible with senseBox via a breakout board with JST connectors.
  5. Overview of senseBox Brightness and UV Sensor

    The senseBox Brightness and UV sensor module combines two sensors: a light intensity (illuminance) sensor and an ultraviolet (UV) light sensor.

    • Light Intensity Sensor: Uses either the TSL45315 (AMS-TAOS) or the LTR329ALS-01 (LiteOn, used since 02/21). It mimics human eye perception and measures brightness in Lux with a dynamic range from 3 Lux to 220k Lux.
    • UV Sensor: Uses the Vishay VEML6070. It converts solar UV intensity into digital data using Filtron™ technology, featuring high sensitivity, linearity, and temperature compensation.
  6. Overview of the senseBox MCU microcontroller

    The senseBox MCU is a microcontroller designed for the senseBox system, prioritizing speed, energy efficiency, and large program memory. It is based on the ARM Cortex-M0+ processor from the Microchip SAM D21 family. It supports both simple sketch transfers for beginners and custom project development via the Arduino IDE.
  7. Overview of senseBox:bike hardware and sensors

    The senseBox:bike is a mobile environmental sensor device for bicycles that utilizes AI capabilities. It is equipped with the following hardware sensors:

    • Temperature and Humidity sensor
    • Acceleration sensor (MPU6050)
    • Fine dust sensor (SPS30)
    • Ultrasonic distance sensor
  8. Overview of senseBox:home hardware components

    The senseBox:home is an IoT environmental monitoring station for outdoor measurements. To assemble or maintain a senseBox:home, the following components are required:

    • senseBox MCU (Main Control Unit)
    • Temperature & Humidity sensor (HDC1080)
    • Radiation shield (Strahlenschutz)
    • Outdoor housing (including screws/fasteners)
    • Power supply and USB cable (3 meters)
  9. Overview of LoRaWAN integration for senseBox

    The senseBox supports uploading sensor data to openSenseMap via LoRaWAN™ using The Things Network (TTN). Before deploying the LoRa module, users should verify LoRa coverage in their specific region using the TTN community map.
  10. Overview of the senseBox CO2-Ampel kit

    The senseBox CO2-Ampel is a DIY kit for monitoring indoor air quality. It measures actual CO2 levels using a Sensirion SCD30 sensor with optical NDIR (Non-Dispersive Infrared) measurement, making it more reliable and less susceptible to interference than basic eCO2 sensors. The device visualizes the CO2 concentration using an OLED display and an RGB LED, and is housed in a laser-cut case designed for optimal airflow.