Ganhos na eficiência econômica, Ambiental e Social com a implantação da inteligência artificial na operação de barragens- rumo aos princípios da indústria 4.0

Abstract

Due to the growing scarcity of water, production and supply systems have become increasingly important to guarantee the availability and quality of this essential resource for the health and life of the population. Thus, it is essential that these producer systems adopt modern management and automation practices that guarantee the efficiency and agility of their activities in the exploitation of their natural potentials. The general objective of this case study is to analyze the adoption of artificial intelligence to improve efficiency, economic, environmental and social safety in the operation of dams, in the water-producing system of the São Paulo metropolitan region, composed of gates and tunnels and gates of downstream. This case study presents the company, which manages the six dams in this production system, which maintains operating teams twenty-four hours a day available to carry out the control and maneuvers of the entire system, moving distances of up to 120 km between the dams to carry out necessary maneuvers to meet the consumption needs of almost ten million people in the Metropolitan Region of São Paulo (RMSP). This study presents important results of economic gains in the order of U $ 51,000.00 annually with less vehicle displacement and overtime and on-call hours paid to operators. This study presents environmental gains, with the agility of maneuvers in real time saving 4.32 billion liters of water per year, this annual amount is sufficient to supply 73,000 people, in addition to lower gas emissions due to the burning of fuel from operational vehicles. And finally, it presents social gains, mitigating the flooding of the city downstream and guaranteeing the operational execution of the floodgate in order to guarantee the operationality within technical criteria with the implantation of Artificial Intelligence, in operation of dams.