Abstract: In order to provide a method for predicting process deviations in an industrial-method plant, for example a painting plant, by means of which process deviations are predictable simply and reliably, it is proposed according to the invention that the method should comprise the following: automatic generation of a prediction model; prediction of process deviations during operation of the industrial-method plant, using the prediction model.

Abstract: In order to provide a method for fault analysis in an industrial-method plant, for example a painting plant, by means of which fault situations are analysable simply and reliably, it is proposed according to the invention that the method should comprise the following: in particular automatic recognition of a fault situation in the industrial-method plant (101); storage of a fault situation data set for the respective recognised fault situation, in a fault database (136); automatic determination of a cause of the fault for the fault situation and/or automatic determination of process values that are relevant to the fault situation, on the basis of the fault data set of a respective recognised fault situation.

Abstract: In order to provide a method for analysing quality deficiencies of workpieces, preferably vehicle bodies and/or vehicle attachment parts, in particular after and/or whilst passing through a production process in industrial-method plants, preferably after and/or whilst passing through a painting process in painting plants, by means of which method quality deficiencies can be avoided and/or by means of which method quality deficiency causes in the production process can be determined, avoided and/or remedied, it is proposed in accordance with the invention that the method comprises the following steps: creating a workpiece-specific data set, uniquely assigned to a workpiece, at the start of a production process, in particular at the start of a painting process and/or creating a workpiece-carrier-specific data set, uniquely assigned to a workpiece carrier, at the start of a production process, in particular at the start of a painting process; supplementing the workpiece-specific data set while a workpiece is

Abstract: In order to provide a method for anomaly and/or fault recognition in an industrial-method plant, for example a painting plant, wherein anomalies and/or fault situations are recognisable simply and reliably by means of the method, it is proposed according to the invention that the method should comprise the following: automatic generation of an anomaly and/or fault model of the industrial-method plant that comprises information on the occurrence probability of process values; automatic input of process values of the industrial-method plant during operation thereof; automatic recognition of an anomaly and/or fault situation by determining an occurrence probability by means of the anomaly and/or fault model on the basis of the process values of the industrial-method plant that have been input and by checking the occurrence probability for a limit value,

Abstract: In order to provide a method for predicting process deviations in an industrial-method plant, for example a painting plant, by means of which process deviations are predictable simply and reliably, it is proposed according to the invention that the method should comprise the following: automatic generation of a prediction model; prediction of process deviations during operation of the industrial-method plant, using the prediction model.

Abstract: In order to provide a method for the conditioning of air which is implementable in a reliable and energy-efficient manner, it is proposed that the method comprise the following: determining the actual values of at least two parameters of an inlet air stream of a conditioning system in which the air is to be conditioned; selecting an operating state of the conditioning system on the basis of a model by means of which a plurality of possible actual values of the at least two parameters is linked to operating states of the conditioning system; setting the conditioning system into the selected operating state so that an output air stream of the conditioning system is produced in which the actual values of the at least two parameters lie within preset target value ranges.