Real-time data mining in catalysis typically involves the following components:
Sensors and data acquisition systems to collect data on various parameters such as temperature, pressure, concentration of reactants and products. Data storage solutions to handle large volumes of data generated during catalytic processes. Data processing and analysis algorithms, including machine learning techniques, to interpret the data and generate actionable insights. Visualization tools to present data in an understandable and actionable format. Integration with control systems to enable real-time adjustments to the reaction conditions.
