Purecontrol
Ewen LOC'H is a Hardware Software Engineer at Purecontrol since September 2022. Prior to that, Ewen worked as a Concepteur HW & SW Embarqué at Purecontrol and as a Stagiaire en recherche at IETR. Ewen's experience includes implementing and optimizing CPU and GPU for a CNN to evaluate inference times in a VVC/H encoding complexity reduction system. Ewen also worked as a software developer at Thales, where they developed a radio reception chain simulator in Python for RF engineers. Ewen holds a Diplôme d'ingénieur in Electronics and Industrial Computing from INSA Rennes and a DUT GEII in Electrical Engineering and Industrial Computing from IUT de Nantes.
Purecontrol
Purecontrol offers cutting-edge solutions leveraging AI for predictive and real-time control of industrial equipment in the water sector. We optimise the efficiency of water management processes, reducing energy costs and environmental impact. At Purecontrol we have a strong expertise in real-time and predictive automation and control thanks to AI, dedicated to the water treatment and drinking water sector. Our automatic control solutions help WWTP operators to reduce OPEX and carbon footprint. Our customers include leading international water companies (Veolia, Suez, Saur) and utilities. AI applied to WWTPs is a revolution in progress. The operator now can activate the optimised operation of his WWTP, leading to the following results: ☑ Up to 30% savings in energy costs by controlling aeration. ☑ Up to 40% savings on chemicals used to remove phosphorus. ☑ Lift-station pumping cycle -10% energy cost, up to -70% overflow ☑ Mitigation of N2O emissions (targeting 70%) The solution has proven to be a highly effective process management solution with plant control and real-time data analysis. Purecontrol is easily integrated into customers' facilities despite being a complex and dynamic environment. ✉ contact@purecontrol.com