Abstract: Monitoring and analysis of plurality of operations in mining and mineral processing is critical to achieve optimized performance. Existing tools are specific to one or other individual operations and this individuality introduces limitations for end to end monitoring of entire mining to mineral processing operations. Method and system for online monitoring and optimization of mining and mineral processing operations providing an integrated approach utilizing short-term mining plan data, information generated using established drill and blast design software, simulation models of fragmentation, crushing, screening, grinding and flotation to arrive at an optimized charge plan and set points for controllers is disclosed. The proposed method and system improves key performance indicators such as cost of mining operations, specific energy consumption in comminution circuit, maximizes yield of desired particle size, and maximizes grade and recovery of mineral of interest while considering operational constraints.

Abstract: A system and method for performing data-based optimization of performance indicators of process and manufacturing plants. The system consists of modules for collecting and merging data from industrial processing units, pre-processing the data to remove outliers and missingness. Further, the system generates customized outputs from data and identifies important variables that affect a given process performance indicator. The system also builds predictive models for key performance indicators comprising the important features and determines operating points for optimizing the key performance indicators with minimum user intervention. In particular, the system receives inputs from users on the key performance indicators to be optimized and notifies the users of outputs from various steps in the analysis that help the users to effectively manage the analysis and take appropriate operational decisions.

Abstract: A system and method for performing data-based optimization of performance indicators of process and manufacturing plants. The system consists of modules for collecting and merging data from industrial processing units, pre-processing the data to remove outliers and missingness. Further, the system generates customized outputs from data and identifies important variables that affect a given process performance indicator. The system also builds predictive models for key performance indicators comprising the important features and determines operating points for optimizing the key performance indicators with minimum user intervention. In particular, the system receives inputs from users on the key performance indicators to be optimized and notifies the users of outputs from various steps in the analysis that help the users to effectively manage the analysis and take appropriate operational decisions.

Abstract: A system and method for design of polymeric carrier for controlled release of molecules is provided. The method includes receiving a plurality of input parameters of a polymeric carrier, a solvent, and molecules to be released from the polymeric carrier from a database and performing Molecular Dynamics (MD) simulations to estimate thermodynamic and transport properties of the polymeric carrier, the solvent and the molecules to be released using on one or more input parameters from the plurality of input parameters. Based on the estimated thermodynamic and transport properties, swelling and degradation kinetics of the polymeric carrier and release kinetics of the molecules to be released from the polymeric carrier is estimated and generating a proposed formulation based on difference between estimated released kinetics and the targeted release kinetics of the molecules.

Abstract: This disclosure relates generally to data preprocessing, and more particularly to implementing data pre-processing through outlier analysis and multivariate imputation process. In one embodiment, the method includes performing iterations for processing integrated data associated with a manufacturing process. Each iteration comprises removing outliers from the integrated data using a multi-level outlier model to obtain a filtered data. The filtered data is categorized into multiple categories to identify missing data based on a frequency of occurrence of various parameters. Missing data is selectively imputed based on the multiple categories to obtain imputed data which is clustered into various data clusters based on a predefined criteria. After every iteration, it is determined whether the imputed data associated with a current iteration is clustered into the same data clusters as associated with a previous iteration.

Abstract: The present invention relates to a system for optimizing and controlling the particle size distribution and scale-up of production of nanoparticle in an aerosol flame reactor. The method provides nanoparticles with desired, optimized and controlled particle size and the specific surface area in aerosol reactors using a simulation tool with programmed instructions. The simulation tool couples flame dynamics model and particle population balance model.

Abstract: The present invention relates to a system for optimizing and controlling the particle size distribution and scale-up of production of nanoparticle in an aerosol flame reactor. The method provides nanoparticles with desired, optimized and controlled particle size and the specific surface area in aerosol reactors using a simulation tool with programmed instructions. The simulation tool couples flame dynamics model and particle population balance model.

Abstract: The present invention relates to a system for optimizing and controlling the particle size distribution and scale-up of production of nanoparticle in an aerosol flame reactor. The method provides nanoparticles with desired, optimized and controlled particle size and the specific surface area in aerosol reactors using a simulation tool with programmed instructions. The simulation tool couples flame dynamics model and particle population balance model.

Abstract: The present invention discloses a system for optimizing the operation of an induration furnace and a method thereof; the system comprising: an interactive means to monitor and control the furnace to provide an optimized furnace operation, calibration means for generating a plurality of ideal set points for validation purposes, and a processing unit receiving, in real-time, the online process data from the interactive means and compute therein a plurality of real-time active set points which are matched with corresponding ideal set points from the calibration means, wherein, if optimization is required, an optimizing signal is generated and communicated to the interactive means. The system predicts in real-time the process and product parameters, that cannot be measured directly, thus, providing real-time optimization of the furnace operation, and thereby reducing the operating and production costs.

Abstract: The present invention relates to a system for optimizing and controlling the particle size distribution and production of nanoparticles in a furnace reactor. The method provides nanoparticles with desired, optimized and controlled particle size distribution and specific surface area in furnace reactors using a simulation tool with programmed instructions. The said simulation tool couples flame dynamics module and particle population balance module and precursor reaction kinetics module.

Abstract: The present invention relates to a system for optimizing and controlling the particle size distribution and scale-up of production of nanoparticle in an aerosol flame reactor. The method provides nanoparticles with desired, optimized and controlled particle size and the specific surface area in aerosol reactors using a simulation tool with programmed instructions. The said simulation tool couples flame dynamics model and particle population balance model.

Abstract: The present invention discloses a system for optimizing the operation of an induration furnace and a method thereof; the system comprising: an interactive means to monitor and control the furnace to provide an optimized furnace operation, calibration means for generating a plurality of ideal set points for validation purposes, and a processing unit receiving, in real-time, the online process data from the interactive means and compute therein a plurality of real-time active set points which are matched with corresponding ideal set points from the calibration means, wherein, if optimization is required, an optimizing signal is generated and communicated to the interactive means. The system predicts in real-time the process and product parameters, that cannot be measured directly, thus, providing real-time optimization of the furnace operation, and thereby reducing the operating and production costs.