Ambient Monitor for CH₄ and CO₂

Ambient monitor for CH₄ and CO₂

Plug-and-play gas ambient monitor for CH₄ and CO₂ sensing.

Gas continuous ambient monitor integrates data acquisition platform with NDIR sensors and Machine Learning based calibration model to autonomously and continuously measure ambient gas (CH₄ and CO₂) concentration in the air.

Key benefits :

Cost-effective observatories for in-situ GHG observations thanks to low-cost NDIR sensing module and reduced maintenance cost with longer battery lifetime.
Improved measurement accuracy with Machine Learning based calibration model
Working in harsh environmental conditions thanks to temperature and humidity stabilization module and calibration module.

Characteristics:

Measurements	GHG: CH₄ and CO₂
Temperature, Humidity and Pressure Sensors	Installed both inside the sensing chamber and the environment to provide precise monitoring conditions
Pump and Fan (included)	To deliver the ambient air and circulate air within the sensing chamber
Advanced computing at device level	Deep Learning AI-based calibration models: Two Deep Learning AI-based models are implemented on device level to provide real-time high-accurate calibrated measurement. Microcontroller Unit (MCU): STM32H742VGTx, high computing power (692KB SRAM) and ample memory (1MB Flash memory), processes data and runs the AI-based calibration models.
Thermal Stabilization	Reduces the impact of temperature on sensor measurements by stabilizing sensing temperature. Ensure normal functioning of electronic components, if environmental temperature falls below sensor and calibration model specifications Working conditions: Upper limit: 50oC, Lower limit: -20oC
Real-Time Data Logging	GPS: Provides real-time timestamps. SD Card: Functions as a datalogger for local data storage
End-to-End Communication	LoRa Transceiver RN2483: Utilized for P2P communication and energy low-power mode (link to communication product page). 4G: Directly upload data to data platforms, for rural areas with accessible energy. WIFI: possible WIFI connections and upload data to data platform.
Power	12V DC: included all necessary DC-DC converters: 12V to 7.2V for the K96 sensor, 12V to 6V for the pump, 12V to 5V 4A for the heater, and 12V to 3.3V for electronic components

Contact:

Contact Info

Dr. Tuan-Vu Cao, project coordinator.
The Climate and Environmental Research Institute NILU.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101086541.