This invention discloses a method and device for detecting material level in a closed
silo, relating to the field of industrial
automation detection and control technology. It employs a photosensitive level gauge to continuously acquire the original optical feedback
signal of the
solid material
pile within the
silo, receiving the
light source sensor
signal as the original optical feedback
signal, forming signal frames in chronological order, with each frame corresponding to the
light intensity value at a sampling time. Dynamic baseline tracking is performed on the acquired multiple signal frames, updating the baseline in real time using the weighted
moving average of historical signal frames, and extracting the current optical signal trend component. The baseline update rate is automatically adjusted according to the degree of signal fluctuation. A multi-frame fluctuation suppression
algorithm determines the deviation between the current signal frame and the baseline, dynamically filtering out instantaneous spikes caused by dust adhesion based on the statistical characteristics of the deviation. This invention significantly improves the detection accuracy, anti-interference capability, and
operational reliability of automatic feeding systems for
solid materials in kilns, and is suitable for industrial sites with high dust levels, variable light paths, and long operating cycles.