Reactor Solid Particle Charging Control via Filtered Bed Height

A modeling module is introduced as an intermediary between the sensor and the control system. This module receives raw measured values from the sensor and generates modeled values based on a loading profile model, then combines them to produce filtered values. The modeling module acts as a mediator that filters out measurement errors caused by dust and falling particles during dense loading operations.

The system implements feedback by continuously comparing measured values with modeled values and adjusting the filtered output accordingly. The control system uses these filtered values to adjust the loading rate, creating a closed-loop feedback mechanism that maintains measurement reliability even during high-speed dense loading when dust and particles are present.

The system enables self-service by implementing automatic monitoring and filtering of bed height measurements. The modeling module automatically processes sensor readings and generates filtered values without requiring manual intervention. The control system automatically adjusts loading based on these filtered values, eliminating the need for operators to manually monitor and record bed height, thus maintaining precision while reducing loading time.

The patent replaces manual mechanical monitoring with an automated electronic system. Instead of operators physically measuring and recording bed height at intervals, sensors continuously automatically measure bed height, and the modeling module processes these measurements electronically to generate filtered values, eliminating manual intervention and its associated time losses.

The modeling module serves as an intermediary layer between the simple sensor input and the control system. It receives raw measured values, generates modeled values based on the loading profile model, and produces filtered values for control. This intermediary processing improves reliability without significantly increasing overall system complexity, as the modeling module integrates seamlessly with existing sensor and control components.

The system performs preliminary action by pre-storing a loading profile model that represents expected loading behavior. Before making control decisions, the system pre-processes sensor readings by comparing them against this pre-established model and generating filtered values. This preliminary modeling and filtering action ensures reliable control decisions are made based on corrected measurements rather than raw erroneous data.