Patent ID: 7526463
Filing Date: 2009-04-28
Classification: G05B,Y02P

Abstract:
1. A method for controlling a process with spatially dependent conditions for producing a product with spatially dependent properties, the method comprising: providing input data to a neural network, wherein the input data comprise a plurality of input data sets, each comprising values for a set of one or more input parameters, wherein each input parameter in the set comprises a respective process condition or product property, and wherein the input data preserve spatial relationships of the input data, wherein providing the input data comprises one or more of: synthesizing one or more process conditions at each of one or more spatial positions in a production line of the process to generate the input data; or synthesizing one or more product properties at each of one or more spatial positions on the product to generate the input data; and the neural network generating output data in accordance with the input data, wherein the output data comprise a plurality of output data sets, each comprising values for a set of one or more output parameters, each output parameter comprising a predicted process condition or product property, wherein the output data preserve spatial relationships of the output data, and wherein the spatial relationships of the output data correspond to the spatial relationships of the input data; wherein the output data are useable by a controller or operator to control the process.