This is the
MISO project
MISO develops an autonomous observation system for monitoring of emissions of CO2 and Methane, the two most important greenhouse gases. The system is modular and is suited for use in hard-to-reach areas such as the Arctic or wetlands. It combines three observing platforms (a static tower-Gas ambient monitor , a static gas flux chamber and a UAV-based observatory using NDIR sensing technologies ) with a cloud platform. The system can be operated remotely , with minimum on-site intervention.
The MISO team has expanded existing technologies: we have improved detection limit and accuracy of an NDIR GHG sensor integrated in the platforms. The static platforms and the drone base are powered by a unique geothermal device. The communication between the three observing platforms and a data cloud uses a combination of Peer2Peer, G4/G5/LTE, LORAWAN and wifi technologies.
To ensure consistent measurements, the observing platforms are optimized for energy efficient autonomous operation. This includes on-platform detection of faults through an optimized Machine Learning calibration. The cloud platform stores model updates and fault detection information together with the raw measurements.
The system is co-developed with stakeholders from academia, monitoring and measurement systems, industry and policy. It is thoroughly documented and has been demonstrated in the Arctic and in Wetland .
NEWS
โ๏ธ๐ ๐๐๐๐ ๐๐ฏ๐๐ฅ๐๐๐ซ๐ โ ๐๐ง๐๐ซ๐ ๐ฒ-๐๐๐๐ข๐๐ข๐๐ง๐ญ ๐๐๐ฌ ๐๐ฆ๐๐ข๐๐ง๐ญ ๐๐จ๐ง๐ข๐ญ๐จ๐ซ
During the Svalbard field campaign, the MISO team tested an energy-efficient gas ambient monitor designed for long-term operation in harsh Arctic conditions. ๐ง ๐๐ข๐ง๐ฒ๐๐ ๐๐ง-๐๐๐ฏ๐ข๐๐ ๐๐๐ฅ๐ข๐๐ซ๐๐ญ๐ข๐จ๐งUsing TinyML, the device runs a calibration model directly on the sensor node. Together with the K96 gas sensor, this enables accurate, real-time greenhouse gas
โ๏ธ๐ ๐๐๐๐ ๐๐ฏ๐๐ฅ๐๐๐ซ๐ โ ๐๐ง๐-๐ญ๐จ-๐๐ง๐ ๐๐๐ญ๐ ๐๐ซ๐๐ง๐ฌ๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐ง ๐๐๐ฌ๐ญ
During the Svalbard field campaign, the MISO team carried out additional communication tests to support autonomous GHG monitoring in Arctic conditions. โ ๐๐๐ก๐ข๐๐ฏ๐๐ฆ๐๐ง๐ญ๐ฌ โ ๏ธ ๐๐๐ฌ๐ฌ๐จ๐ง๐ฌ ๐๐๐๐ซ๐ง๐๐ Thanks to Huy Duong Gia, Torbjรธrn, Vishall, Jurian, and Thibault for their work during these tests. ๐ธ More insights from the Svalbard campaign coming
๐โ๏ธ ๐๐๐๐ ๐๐ฏ๐๐ฅ๐๐๐ซ๐ โ ๐๐ง๐ฏ๐ข๐ซ๐จ๐ง๐ฆ๐๐ง๐ญ๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ ๐๐๐ฌ๐ญ
As part of the Svalbard field campaign, we tested and validated our live update framework and communication setup for autonomous, intelligent sensors operating in Arctic conditions. ๐ง ๐๐ข๐ฏ๐ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค ๐๐ฉ๐๐๐ญ๐A key goal was to verify that our low-power STM32-based sensor device could receive, authenticate, and install updated neural-network weights
๐โ๐๐ซ๐๐ญ๐ข๐ ๐๐ข๐ฅ๐จ๐ญ โ ๐๐ข๐ฌ๐ฌ๐ข๐จ๐ง ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐!
The MISO team wrapped up its ๐๐ข๐ง๐๐ฅ ๐๐ข๐๐ฅ๐ ๐๐๐ฆ๐ฉ๐๐ข๐ ๐ง ๐ข๐ง ๐๐จ๐ง๐ ๐ฒ๐๐๐ซ๐๐ฒ๐๐ง, ๐๐ฏ๐๐ฅ๐๐๐ซ๐, pushing our monitoring technologies to the limit under ๐๐ฑ๐ญ๐ซ๐๐ฆ๐ ๐๐ซ๐๐ญ๐ข๐ ๐๐จ๐ง๐๐ข๐ญ๐ข๐จ๐ง๐ฌ. ๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐ ๐๐ซ๐จ๐ง๐ ๐๐๐ฌ๐ โ successfully performed autonomous GHG measurements.๐น ๐๐๐ฌ ๐๐ฆ๐๐ข๐๐ง๐ญ ๐ฆ๐จ๐ง๐ข๐ญ๐จ๐ซ๐ฌ & ๐๐ฅ๐ฎ๐ฑ ๐๐ก๐๐ฆ๐๐๐ซ โ tested and validated in the field.๐น ๐๐ง๐-๐ญ๐จ-๐๐ง๐ ๐๐๐ญ๐ ๐ญ๐ซ๐๐ง๐ฌ๐ฆ๐ข๐ฌ๐ฌ๐ข๐จ๐งโ proven
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.