Abstract: Systems and techniques for storing, managing and/or displaying industrial data are presented. A controller component stores configuration data associated with a plurality of product types for a product generated based on at least one manufacturing process in a nested data structure. A data interface component manages data corresponding to the configuration data stored in the nested data structure for a data table associated with a spreadsheet application.

Abstract: Systems and techniques for storing, managing and/or displaying industrial data are presented. A controller component stores configuration data associated with a plurality of product types for a product generated based on at least one manufacturing process in a nested data structure. A data interface component manages data corresponding to the configuration data stored in the nested data structure for a data table associated with a spreadsheet application.

Abstract: The present invention provides novel techniques for controlling batch reaction processes. In particular, a parametric hybrid model may be used to parameterize inputs and outputs of batch reaction processes. The parametric hybrid model may include an empirical model, a parameter model, and a dynamic model. Critical quality parameters, which are correlated with, but not the same as, end-of-batch quality values for the batch reaction processes may be monitored during cycles of the batch reaction processes. The quality parameters may be used to generate desired batch trajectories, which may be used to control the batch reaction processes during the cycles of the batch reaction processes.

Abstract: The present invention provides novel techniques for controlling batch reaction processes. In particular, a parametric hybrid model may be used to parameterize inputs and outputs of batch reaction processes. The parametric hybrid model may include an empirical model, a parameter model, and a dynamic model. Critical quality parameters, which are correlated with, but not the same as, end-of-batch quality values for the batch reaction processes may be monitored during cycles of the batch reaction processes. The quality parameters may be used to generate desired batch trajectories, which may be used to control the batch reaction processes during the cycles of the batch reaction processes.

Abstract: The present invention provides novel techniques for controlling biofuel production processes. In particular, estimated yeast activity values are determined by yeast activity sensors. These estimated yeast activity values are used to bias predicted yeast activity values from an inferential dynamic predictive model. The biased predicted yeast activity values are in turn used to control a fermentation sub-process of the biofuel production process, while also be used to update the inferential dynamic predictive model, to maximize yeast activity in the fermentation sub-process. Maximizing yeast activity and yeast growth in the fermentation sub-process leads to the maximization of biofuel production in the biofuel production process.

Abstract: System and method for controlling temperature of a batch fermenter in a biofuel production process. A nonlinear predictive integrating temperature model for a batch fermentation process is provided that is a function of fermenter level. An objective for the batch fermentation process specifying a target fermenter temperature for the batch fermentation process is received, as is process information for the batch fermentation process, including fermenter level and fermenter temperature. The nonlinear predictive integrating temperature model is executed in accordance with the objective using the process information as input to determine target values for manipulated variables for controlling fermenter temperature of the batch fermentation process. The fermenter temperature for the batch fermentation process is controlled in accordance with the target values to produce biofuel in accordance with the objective, to substantially optimize the end of batch biofuel yield.

Abstract: System and method for managing a biofuel production process. An integrated dynamic multivariate predictive model is provided that includes a continuous process model representing a continuous process of the biofuel production process, a batch process model representing a batch process of the biofuel production process, and a continuous simulation framework. The batch process model interacts with the continuous process model as a nonlinear continuous process via the framework using bridging equations. An objective is received, as is constraint information specifying constraints for the biofuel production process, where the constraints are in terms of the framework, and process information related to the batch and continuous processes.