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AssigneesCovestro Deutschland AG, Recticel Engineered Foams Belgium
InventorsSascha Froebel, Torsten Heinemann, Robert Grimm, Katharina Ander, Franz Siegl, Jan Willems, Isabel Verlent, Joke De Geeter
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The invention relates to a method for separating waste polyurethane foams, wherein for each polyurethane sample (1) of a supply stream (2) comprising polyurethane samples (1) from waste at least one respective spectrum (3) is recorded, wherein the at least one respective spectrum (3) is recorded by near-infrared spectroscopy, wherein each polyurethane sample (1) of the supply stream (2) is classified by a classification algorithm (5), which classification algorithm (5) is based on machine learning, based on the respective at least one spectrum (3) into a respective class (8a-e) of at least two classes (8a-e), wherein the supply stream (2) comprising polyurethane samples (1) is separated into at least two streams (11a-e) according to the classification into the respective class (8a-e) and wherein each class (8a-e) corresponds to a type of polyurethane. The invention also relates to a system for separating waste polyurethane foams.
A method for separating waste polyurethane foams, the method comprising recording at least one respective spectrum for each polyurethane sample of a supply stream comprising polyurethane samples from waste wherein the at least one respective spectrum is recorded by near-infrared spectroscopy, wherein each polyurethane sample of the supply stream is classified by a classification algorithm, wherein the classification algorithm (5) is based on machine learning, based on the respective at least one spectrum into a respective class of at least two classes, wherein the supply stream comprising polyurethane samples is separated into at least two streams according to the classification into the respective class and wherein each class corresponds to a type of polyurethane.
A system for separating waste polyurethane foams, the system comprising a spectroscopy apparatus configured to record for each polyurethane sample of a supply stream comprising polyurethane samples from waste at least one respective spectrum, wherein the system further comprises a computing arrangement on which a classification algorithm based on machine learning and configured to classify each polyurethane sample of the supply stream into a respective class of at least two classes is executed, which classification is based on the respective at least one spectrum , the system further comprising a separating apparatus for separating the supply stream comprising polyurethane samples into at least two streams according to the classification into the respective class ,wherein each class corresponds to a type of polyurethane.
Dependencies are inferred from the claim text.