© Sensirion Connected Solutions AG, Switzerland Version 1.0 –D1 - Jun 22 5/22
2System description
2.1 System operation overview
The Nubo Sphere monitoring system consists of multiple Nubo sensor nodes, a cloud-based data analytics system
and a user- and smartphone-friendly web interface. The node has two slots for sensing cartridges. The cartridges
can be easily exchanged for maintenance or upgrading. At the present moment, a methane (CH4) sensing cartridge
is available. The currently unused second cartridge slot could be used to extend the parameter space once other
cartridges become available.
Because of the solar panel, the low-power electronics and the state-of-the-art lithium-ion batteries, the nodes
operate fully autonomously, even under the most adverse conditions and without the need to deploy electric power
cables. The compact size ensures easy deployment wherever needed. At least one of the nodes is equipped with
a wind meter in addition to the methane sensor to enable measurement of the local wind speed and direction at
any time.
The nodes constantly transmit the data to the cloud platform via LTE-M or 2G (GPRS). Every node has its own
connectivity to ensure maximum redundancy, simple and rapid setup and flexibility. At the cloud level, the signals
are refined to exclude artifacts and ensure maximal data fidelity. The algorithms have been developed on the basis
of Sensirion’s extensive specialist knowledge of the employed sensor technologies and their application in the field.
Our advanced analytics system continuously applies algorithms based on physical modeling to the refined data to
detect any emissions as early as possible. The models allow for automatic and reliable localization and
quantification of most emissions. The models and their output are continuously improved and supervised by our
dedicated team of data scientists to improve accuracy and avoid false positives.
The status of all your sites can be easily monitored via the intuitive dashboard in any web browser or smartphone.
Sites where action is most urgently required can be easily identified, and their status can be tracked during the
repair process. The best mitigation action can be easily determined on the basis of the intuitive data visualization
of the location and size of any emission event. If critical emission events are detected, you will receive notifications
to enable your team to react rapidly.
