Rede neural artificial para monitoramento em tempo real da concentração de potássio na vinhaça in natura / Artificial neural network for real-time monitoring of the concentration of potassium in the stillage in natura

AUTOR(ES)
DATA DE PUBLICAÇÃO

2010

RESUMO

The cultivation of sugar cane (Saccharum officinarum) has significant presence in Brazils history, from colonization. In its industrial process, are obtained the following products: sugar, ethanol (anhydrous and hydrated), and its main products are: marc - used for power generation - and stillage - re-applied as fertilizer in farming. The use of vinasse on the farm is called fertigation, because this by-product is very rich in minerals such as potassium, sodium, calcium and magnesium containing high biological load and has 93% water in its composition. However, its indiscriminate application can cause extensive damage to the environment and agriculture. This research aims to contribute technically to the monitoring of potassium ion controlled with the Standard Environmental Company of São Paulo (CETESB) - P4.231 (Version January 2005). The proposed method enables the assessment of the concentration of potassium in the stillage in natura directly in the output of the distillery. For this we used artificial neural networks, especially the multilayer perceptron networks, such as universal approximator of functions. Are used as reference data for laboratory analysis of samples collected during two months of Descalvado at Usina Ipiranga - SP. The results showed a margin of error smaller than traditional braces, thus showing its ability to perform the function of chemistry analyzer. However this was calculated on the error of the apparatus, ie, if both errors combined - the equipment and the network - the methodology would present a greater mistake.

ASSUNTO(S)

monitoring fertigation virtual sensors vinasse artificial neural networks redes neurais artificiais potassium potássio sensores virtuais fertirrigação monitoramento vinhaça

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