Project description

LIXIV_IA proposes the development of solutions based on artificial intelligence (AI) and big data for the optimization of the operation of autonomous containerized plants for the treatment of Leachate from different origins (urban solid waste and wastewater).

Leachate has high concentrations of organic and inorganic contaminants, metals and dangerous chemicals, and its composition is highly variable, affecting the operation of the plant, which is why it is necessary to introduce data analysis and development of models that allow integral optimization of the key plant processes

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