Method for monitoring a loading state of an interior of a washing appliance , wherein the method comprises the following steps: reading in at least one microphone signal and at least one pump signal , wherein the microphone signal represents a sound image in the interior detected by a microphone unit and the pump signal represents a pumping state of a pump of the washing appliance detected by a pump sensor , wherein in the step of reading in or in a repeated step of reading in, at least one camera signal is read in, which represents an image of the interior captured by a camera unit , and/or in the step of reading in, at least one weight signal is read in, which represents a weight of a washing rack arranged in the interior captured by a load sensor ; processing the microphone signal and/or the pump signal by means of an artificial neural network in order to classify a current loading state of the washing appliance as correct or faulty, and in the case of a loading state classified as faulty, providing a loading signal representing the faulty loading state, wherein a faulty loading condition is present if at least one piece of washware of a certain type is arranged in an unsuitable location, at least one piece of washware of a certain type is arranged in an incorrect orientation or at least one piece of washware of a certain type is not of a type suitable for washing in the washing appliance or of a type known to the system, wherein in the step of processing, the camera signal and/or the weight signal is additionally processed to provide the loading signal ; and outputting a control signal to an appliance interface and/or an information signal to a user interface to a user in response to the loading signal , wherein the control signal represents a change in an appliance setting for adapting the washing process to the current loading state, and wherein the information signal represents information about the current loading state. reading in at least one microphone signal and at least one pump signal , wherein the microphone signal represents a sound image in the interior detected by a microphone unit and the pump signal represents a pumping state of a pump of the washing appliance detected by a pump sensor , wherein in the step of reading in or in a repeated step of reading in, at least one camera signal is read in, which represents an image of the interior captured by a camera unit , and/or in the step of reading in, at least one weight signal is read in, which represents a weight of a washing rack arranged in the interior captured by a load sensor ; processing the microphone signal and/or the pump signal by means of an artificial neural network in order to classify a current loading state of the washing appliance as correct or faulty, and in the case of a loading state classified as faulty, providing a loading signal representing the faulty loading state, wherein a faulty loading condition is present if at least one piece of washware of a certain type is arranged in an unsuitable location, at least one piece of washware of a certain type is arranged in an incorrect orientation or at least one piece of washware of a certain type is not of a type suitable for washing in the washing appliance or of a type known to the system, wherein in the step of processing, the camera signal and/or the weight signal is additionally processed to provide the loading signal ; and outputting a control signal to an appliance interface and/or an information signal to a user interface to a user in response to the loading signal , wherein the control signal represents a change in an appliance setting for adapting the washing process to the current loading state, and wherein the information signal represents information about the current loading state. <EOS>