Closed stock bin material level detection method and device

By combining dynamic baseline tracking, multi-frame fluctuation suppression algorithm and spectrum analysis with light source self-calibration, the signal interference and anomaly identification problems of optical level gauges in solid silos have been solved, achieving high-precision and stable level detection and 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

Application Number
CN202610621549.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-08
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing optical level gauges are susceptible to signal fluctuations and frequent false triggers due to dust interference in solid silos. Uneven material surfaces cause measurement fluctuations, and long-term operation can lead to light source attenuation and measurement drift. Furthermore, they cannot identify abnormal material conditions, resulting in low control accuracy of automatic feeding systems, frequent start-stop of actuators, and even overflow or material interruption.

Method used

The system employs dynamic baseline tracking and multi-frame fluctuation suppression algorithms to filter out interference, identifies abnormal material states through spectrum analysis, and combines a light source self-calibration mechanism and multi-level threshold control to achieve adaptive material level detection.

Benefits of technology

It improves the accuracy and stability of material level detection, reduces false triggering and signal jumps, ensures that the measurement error is within ±1% during long-term operation, avoids the risk of material overflow and material interruption, and extends the life of the actuator.

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Abstract

The invention discloses a method and device for detecting the material level of a closed stock bin, and relates to the technical field of industrial automatic detection and control. A light-sensitive level indicator is adopted to continuously collect original light feedback signals of a solid material pile in the stock bin, receive light source sensor signals as the original light feedback signals, and form signal frames according to a time sequence; each frame of signal corresponds to a light intensity value at a sampling moment; dynamic baseline tracking is carried out on the collected multi-frame signals, a baseline is updated in real time by using a weighted moving average value of historical signal frames, an optical signal trend component at the current moment is extracted, and the update rate of the baseline is automatically adjusted along with the fluctuation degree of the signals; the deviation between the current signal frame and the baseline is judged through a multi-frame fluctuation suppression algorithm, and instantaneous peaks caused by dust attachment are dynamically filtered out according to statistical characteristics of the deviation. According to the invention, the detection precision, the anti-interference capability and the operation reliability of the solid material kiln batching automatic feeding system are obviously improved, and the system is suitable for high-dust, variable-light-path and long-period operation industrial sites.
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