Gravity: I2C Ozone Sensor (0-10ppm)
Module with an ozone detection sensor that performs measurements in the range of up to 10 ppm with a resolution of 0.01 ppm.
Overview
Gravity: I2C Ozone Sensor (0-10ppm) is based on electrochemical principles and it can measure the ambient O3 concentration accurately and conveniently. With high anti-interference ability, high stablility and high sensitivity, this arduino-compatible ozone sensor can be widely applied to fields like portable device, air quality monitoring device, disinfection cabinets and smart home.
This compact dfrobot ozone sensor supports I2C output, it is compatible with many mainboards like Arduino Uno, esp32, Raspberry Pi and so on. Its resolution can reach to 10ppb. It supports wide range input voltage: 3.3V to 5.5V.
Moreover, the lifetime is as long as 2 years. With simple Gravity interface and practical sample code, you can build your own ozone concentration monitor easily and conveniently.
Features:
- High sensitivity
- Low power consumption
- Excellent stability and anti-interference ability
- IIC Interface
- Temperature compensation, excellent linear output
- Long lifetime
- Compatible with both 3.3V and 5V micro-controllers
- Polarity protection
Tech specs
- Detection of Gases: Ozone
- Operating Voltage: 3.3 to 5.5V DC
- Output Signal: IIC output
- Measurement Range: 0 to 10ppm
- Resolution: 0.01ppm (10ppb)
- Preheat Time: 3 minutes
- Response Time: ≤90 seconds
- Recovery Time: ≤90 seconds
- Operating Temperature: -20℃ to 50℃
- Operating Humidity: 15 to 95%RH (no condensation)
- Storage Temperature: -20℃ to 50℃
- Lifetime: >2 years (in the air)
- Board Dimension: 1.06" x 1.46" / 27mm x 37mm
Get Inspired
Using the Garmin LIDARLite v3HP, Arduino MKR WIFI 1010 and Pushsafer to detect an intruder and send a push notification to a smartphone.
Being able to monitor the weather in real-time is great for education, research, or simply to analyze how the local climate changes over time. This project by Hackster.io user Pradeep explores how he was able to design a simple station outdoors that could communicate with a cloud-based platform for aggregating the sensed data. The board Pradeep selected is the Arduino MKR WiFi 1010 owing to its low-power SAM D21 microcontroller and Wi-Fi/BLE connectivity for easy, wireless communication. After configured, he connected a DFRobot Lark Weather Station, which contains sensors for measuring wind speed/direction, temperature, humidity, and barometric pressure — all in a compact device. Every second, the MKR WiFi 1010’s sketch polls the sensors for new data over I2C before printing it to USB. The cloud integration aspect was achieved by leveraging Qubitro’s platform to collect and store the data for later visualization and analysis. To set it up, Pradeep created a new device connection and copied the resulting MQTT endpoint/token into his sketch. Then once new data became ready, it got serialized into a JSON payload and sent to the topic where a variety of widgets could then show dials and charts of each weather-related metric. To read more about this DIY weather station, you can visit Pradeep’s project write-up here.