摘要:
A method for advanced batch control of a batch process. The method discloses completing at least one cycle of the batch process and collecting data on at least one process variable and at least one product property. A model is created based on the data, wherein the model comprises inputs. Thereafter the batch process is initiated. At one or more decision points the model is utilized to obtain outputs. A controller utilizes the model outputs to control the batch in accordance with the model outputs. Final product properties are reached at decreased variability compared to the prior art.
摘要:
A method for advanced batch control of a batch process. The method discloses completing at least one cycle of the batch process and collecting data on at least one process variable and at least one product property. A model is created based on the data, wherein the model comprises inputs. Thereafter the batch process is initiated. At one or more decision points the model is utilized to obtain outputs. A controller utilizes the model outputs to control the batch in accordance with the model outputs. Final product properties are reached at decreased variability compared to the prior art.
摘要:
A method for extracting feature information from product images using multivariate image analysis (MIA) to develop predictive models for organoleptic and other feature content and distribution on the imaged product. The imaging system is used to monitor product quality variables in an on-line manufacturing environment. The method may also be integrated into a closed-loop feedback control system in automated systems.
摘要:
A computer implemented method for modeling and controlling batch or transitional processes is disclosed including collecting, or initiating the collection of measurements on a plurality of process variables. The method may include creating, or initiating the creation of, a latent variable model predictive controller based on the collected measurements. The method further provides for applying or initiating the application of, the model predictive controller to predict and control at least one of the process variables to track a desired trajectory, by operation of at least one computer including one or more computer processors. A related system for implementing the method is disclosed as is a computer program operable with this method.