A method and device for detecting the level of a closed silo

By filtering out dust interference through dynamic baseline tracking and multi-frame fluctuation suppression algorithms, combined with spectrum analysis and multi-level threshold control, the problems of false triggering and drift of optical level gauges in solid silos have been solved, achieving high-precision level detection and stable automatic feeding control.

CN122360640APending Publication Date: 2026-07-10GLASS COTTONS CO LTD HEBEI HUAMEI CHEM BUILDING MATERIALS GRP CORP ION +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GLASS COTTONS CO LTD HEBEI HUAMEI CHEM BUILDING MATERIALS GRP CORP ION
Filing Date
2026-05-08
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing optical level gauges are susceptible to interference from dust in solid silos, leading to signal jumps and false triggers. Uneven material surfaces cause frequent fluctuations in measured values. Over long-term operation, light source attenuation causes measurement drift. Furthermore, they cannot identify abnormal states such as material arching and voids, resulting in low control accuracy of automatic feeding systems and frequent start-ups and shutdowns of the equipment.

Method used

Dynamic baseline tracking and multi-frame fluctuation suppression algorithms are used to filter out interference. Abnormal material conditions are identified through spectrum analysis. Combined with light source self-calibration and multi-level threshold control, adaptive material level detection is achieved.

Benefits of technology

It improves the accuracy and stability of material level detection, reduces the risk of equipment erroneous triggering and start-up/stopping, ensures that the measurement error during long-term operation is within ±1%, and avoids material overflow and material shortage accidents.

✦ Generated by Eureka AI based on patent content.

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Abstract

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.
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