US 12,437,272 B2
System and methods for using machine learning to make intelligent recycling decisions
Mie Rehmeier, Sabro (DK); and Torben Ladegaard Baun, Skødstrup (DK)
Assigned to Vestas Wind Systems A/S, Aarhus N. (DK)
Filed by Vestas Wind Systems A/S, Aarhus N. (DK)
Filed on Jan. 29, 2024, as Appl. No. 18/425,000.
Claims priority of application No. PA 2023 70059 (DK), filed on Jan. 31, 2023.
Prior Publication US 2024/0257079 A1, Aug. 1, 2024
Int. Cl. G06Q 10/00 (2023.01); B09B 3/35 (2022.01); F03D 17/00 (2016.01); G06Q 10/30 (2023.01)
CPC G06Q 10/30 (2013.01) [B09B 3/35 (2022.01); F03D 17/011 (2023.08); F03D 17/028 (2023.08)] 13 Claims
OG exemplary drawing
 
1. A method of making a recycling recommendation for a rotor blade of a wind turbine, comprising:
receiving, by a computing device, historical operational data for the rotor blade;
receiving, by the computing device, historical materials data identifying composite materials of the rotor blade;
determining, by the computing device, quality grades for materials included in respective composite materials of the rotor blade, wherein the quality grades are determined by using a data model to process the historical operational data and the historical materials data, and wherein the data model has been trained using machine learning based on one or more of historical operational data for other rotor blades, historical materials data for composite materials of the other rotor blades, and historical end-of-life (EOL) testing data for the other rotor blades, wherein the quality grades for a composite material, of the respective composite materials, include a first set of one or more quality grades for a first material of the composite material and a second set of one or more quality grades for a second material of the same composite material, the first set of one or more quality grades being different than the second set of one or more quality grades;
determining, by the computing device, the recycling recommendation based on the quality grades, wherein the recycling recommendation includes a set of cut instructions indicating to separate the first material from the second material using measurement data that identifies boundaries of the first material and boundaries of the second material;
delivering, from the computing device, the recycling recommendation to a controller that provides the set of cut instructions that include the measurement data to equipment configured to perform a cutting task; and
in response to receiving the set of cut instructions, cutting, by the equipment, the composite material of the rotor blade such that the first material with the first set of one or more quality grades is separated from the second material with the second set of one or more quality grades.