In November 2020, the Seine-Normandy water agency launched a call for innovation projects for water management, “Digital transition and circular economy” to support communities, companies and associations committed to the protection resources and aquatic environments. Two selected projects, based on artificial intelligence, are currently being tested by the Val de Marne department.
Urbanization and the modification of agricultural practices, such as the removal of hedgerows for example, amplify the risks of flooding due to violent storms or heavy rains, and global warming risks increasing the number. It has become essential to take preventive and curative measures.
The Val de Marne, a highly urbanized department, located at the confluence of the Marne and the Seine, with a hydrographic network of around a hundred kilometres, is particularly exposed to the risks of flooding. To minimize these, it has also implemented the “Departmental Strategic Plan for Sanitation by 2030” and is developing two projects based on AI.
Real-time self-monitoring and management
The purpose of self-monitoring is to better control discharges, whether in exceptional circumstances (accidents, particular meteorological events) or during works.
The first project, at a cost of 632,000 euros, 80% funded by the Seine-Normandy water agency, aims to improve self-monitoring and real-time management of the sanitation network.
Sheila Aboulouard, deputy director in charge of operations at the Val-de-Marne environment and sanitation services department, says:
“A self-monitoring order of June 21, 2015, amended on July 30, 2020, requires us to measure everything that enters the sewerage network and everything that is discharged into the natural environment, in the Seine and the Marne, in order to to check if our system is efficient. »
Seven hundred summer sensors have therefore been installed on the departmental network to measure flows (water level, speed, flow). The data is then validated and sent to the State control services and the Water Agency. AI can replace human validation of data, which is very time-consuming, according to Sheila Aboulouard.
She explains :
“We provided the AI with 10 years of data, from 2008 to 2018, to study the information transmitted by the sensors. This will allow him to check whether the data that will then be collected is consistent. »
“Based on the data it has, it can, for example, predict the flow of water in such and such a pipe… Artificial intelligence will predict the data at 2 a.m., 6 a.m. and 12 p.m. so that we can act in real time, in the event of a storm for example. If there is a risk of spillage, we will divert the effluents to limit the impact on the natural environment. »
This AI system will be rolled out to nine watersheds later this year and to all 25 watersheds by 2024.
The second project concerns the predictive maintenance of the 113 pumping stations in the Val de Marne. Sensors will soon be installed on a pilot station where no maintenance will be done for six months. When a failure occurs, all the parameters responsible for this failure thus recorded can be analysed. It will then be possible to prevent incidents on the network and therefore minimize the risk of flooding.
This project, costing 420,000 euros, also benefits from an 80% subsidy from the AESN.
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The Val de Marne relies on artificial intelligence to improve its sanitation network
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