Mycélium 3.0
Environmental monitoring of La Croix Verte, a renaturation zone on the University of Rennes campus.
The Mycélium Project
After several years of waiting, the B line of the Rennes metro was finally inaugurated in September 2022, thus offering a new transportation solution to approximately 85,000 daily passengers. This initiative not only simplified the lives of the people of Rennes but also helped reduce car travel by 15% in the city center. However, the eight years of construction were not without impact on the environment, notably with the felling of 1200 trees. In order to compensate for these damages and preserve the local ecosystem, the municipality of Rennes has committed to launching renaturation projects aimed at developing approximately 35 hectares within the city. It is in this context that the Mycelium project was launched in 2021, with a clearly defined objective: to monitor the renaturation of La Croix Verte, a vegetated area located in the heart of the Beaulieu campus.
Croix Verte
Currently undergoing renaturation, this green space
provides a haven for nature at the heart of the Beaulieu
campus. The primary objective of this area is to bring
groundwater up to three surface water points. Therefore,
the study of these water points is essential.
The Team
CHEREL
Valentin
LE GOASTELLER
Maïwenn
OUVRARD
PIERRE
POURCHER
Pierrick
DERRIEN
Thomas
LESSIRARD
Léo
MAUGER
Arthur
Partners
INSA RENNES
PARLAVANTZAS Nikolaos
INRIA Rennes
PAROL-GUARINO Volodia
OSUR
LONGUEVERGNE Laurent, MOUREAU Julien
(Rennes Universe Sciences Observatory)
Sensors
Fog-Based Architecture
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Architecture
We have a SoLo node, a LoRaWAN gateway, and a cluster of five Raspberry Pis.The SoLo node is located in La Croix-Verte and remains active to take measurements of environmental parameters. It then sends the data to the gateway via LoRaWAN, on a configured frequency. The gateway and the cluster are located in the computer building at INSA Rennes. The gateway transmits the data to the cluster via Ethernet. The cluster handles data processing. The Raspberry Pis communicate with each other via Ethernet and with the outside world via WIFI network.
For resource-intensive processing, we have a Virtual Private Server (VPS). When the workload is too heavy for the cluster, it delegates the task to the VPS.
Modules
Scenarios
In order to configure the SoLo node to make it more autonomous and to process the received data on the Raspberry Pi cluster, scenarios have been established. They correspond to typical weather situations that can be found in Brittany and require particular attention.
Flooding
In case of changes in water level in a river or basin, Mycélium notifies the user of the possibility of overflow.
Unusual Brightness Scenario
Handles checking for a decrease in brightness in case of rain.-1500h.gif)
Brightness Based on Time Scenario
Verifies that the brightness is consistent with the time (low brightness at night, higher during the day).
Snow
If the temperature is below 0°C and it is raining at the same time, Mycélium will warn that there is a high risk of snow.
Extreme Temperatures
Checks if temperatures are extremely low or extremely high (below -10°C or above 50°C).
Unusual Temperatures
If temperatures rise or decrease too rapidly (a difference of 5°C compared to the last measurement).
Stealing
In case of rapid movements detected by the sensor, it could indicate that it has been stolen.
Damaged Captors
In case of aberrant data, it may indicate damage to the sensor.