一种电容式三极板水稻在线水分检测装置
By optimizing the capacitive three-plate structure and BP neural network, combined with a vibrating motor and cross-shaped blades, the problems of low detection accuracy and high labor costs in the rice drying process are solved, achieving efficient and non-destructive online moisture detection of rice.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY
- Filing Date
- 2023-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
In the current rice drying process, offline detection is time-consuming and labor-intensive, while traditional resistance methods are destructive and cause food waste. Furthermore, traditional two-plate capacitor detection has low accuracy and short detection time, and cannot accurately represent the actual moisture content of rice.
By employing a capacitor-type three-plate structure, combined with a BP neural network and genetic algorithm, and through a cross-shaped blade structure and a vibration motor, online moisture detection of rice is achieved, improving detection accuracy and automation, and avoiding grain loss.
It achieves high precision and automation in online moisture detection of rice, with a detection error of less than ±0.6%. It has a simple structure, reduces labor costs, and is suitable for the actual working conditions of the grain discharge port of the drying tower.
Smart Images
Figure CN116879357B_ABST