Sesame dewatering endpoint recognition control method and system based on particle group dynamic voice print
By collecting and analyzing the mechanical vibration signals of the outer wall of the drying cylinder, extracting low-frequency and high-frequency characteristic parameters, and calculating the acoustic signature index, the problem of deviation in judging the end point of sesame dehydration was solved, realizing non-contact, maintenance-free online identification and ensuring the consistency of sesame product quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LANGFANG ZHENGZHANG EDIBLE OIL CO LTD
- Filing Date
- 2026-05-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately identify the internal moisture state of sesame seeds without contact with them, leading to deviations in the determination of the dehydration endpoint and affecting the consistency of sesame product quality.
By collecting mechanical vibration signals from the outer wall of the drying cylinder, converting them into electrical signals using a contact acoustic sensor, and performing continuous time-frequency analysis, low-frequency and high-frequency characteristic parameters are extracted, acoustic signature indicators are calculated, and their evolution trend over time is monitored to determine the transformation of sesame grains from a surface-dry, interior-wet state to a uniformly dry state.
It achieves non-contact, maintenance-free online identification of the sesame dehydration endpoint, accurately identifying the critical moment when the surface is dry and the inside is wet, ensuring that the moisture content of the sesame accurately meets the requirements during subsequent roasting, and improving the stability and repeatability of the detection.
Smart Images
Figure CN122417079A_ABST