A laundry treatment device comprising: an output unit comprising a display or an audio output unit; a camera configured to capture an image of a laundry item tag; a cleaning module configured to perform laundry cleaning; and one or more processors (180, 314) configured to: acquire laundry information for each of a plurality of laundry items using a captured image of a tag of each of the plurality of laundry items, extract a plurality of material information values from the acquired laundry information to populate a material data vector for each of the plurality of laundry items; generate values for a data set corresponding to a plurality of graphic symbol information of the acquired laundry information for each of the plurality of laundry items; generate an encoding data vector for each of the plurality of laundry items based on the material vector and the data set; acquire values of laundry control variables corresponding to the encoding data for each of the plurality of laundry items using a trained laundry course learning model, wherein the values of laundry control variables are used to generate a laundry course for the cleaning module, and control the cleaning module to perform cleaning with the laundry course corresponding to the values of the laundry control variables, wherein the values of the encoding data vector are input to the trained laundry course learning model, characterized in that the one or more processors are further configured to: detect one or more laundry items placed in the cleaning module; determine that at least one item of the one or more laundry items is incompatible with the laundry course; and output, via the output unit, information indicating that cleaning of the one or more laundry items cannot be performed. an output unit comprising a display or an audio output unit; a camera configured to capture an image of a laundry item tag; a cleaning module configured to perform laundry cleaning; and one or more processors (180, 314) configured to: acquire laundry information for each of a plurality of laundry items using a captured image of a tag of each of the plurality of laundry items, extract a plurality of material information values from the acquired laundry information to populate a material data vector for each of the plurality of laundry items; generate values for a data set corresponding to a plurality of graphic symbol information of the acquired laundry information for each of the plurality of laundry items; generate an encoding data vector for each of the plurality of laundry items based on the material vector and the data set; acquire values of laundry control variables corresponding to the encoding data for each of the plurality of laundry items using a trained laundry course learning model, wherein the values of laundry control variables are used to generate a laundry course for the cleaning module, and acquire laundry information for each of a plurality of laundry items using a captured image of a tag of each of the plurality of laundry items, extract a plurality of material information values from the acquired laundry information to populate a material data vector for each of the plurality of laundry items; generate values for a data set corresponding to a plurality of graphic symbol information of the acquired laundry information for each of the plurality of laundry items; generate an encoding data vector for each of the plurality of laundry items based on the material vector and the data set; acquire values of laundry control variables corresponding to the encoding data for each of the plurality of laundry items using a trained laundry course learning model, wherein the values of laundry control variables are used to generate a laundry course for the cleaning module, and control the cleaning module to perform cleaning with the laundry course corresponding to the values of the laundry control variables, wherein the values of the encoding data vector are input to the trained laundry course learning model, characterized in that the one or more processors are further configured to: detect one or more laundry items placed in the cleaning module; determine that at least one item of the one or more laundry items is incompatible with the laundry course; and output, via the output unit, information indicating that cleaning of the one or more laundry items cannot be performed. detect one or more laundry items placed in the cleaning module; determine that at least one item of the one or more laundry items is incompatible with the laundry course; and output, via the output unit, information indicating that cleaning of the one or more laundry items cannot be performed.