一种粮食水分在线无损检测方法
By using multiple sets of parallel electrode devices and environmental data correction methods, the accuracy and stability issues of grain moisture detection in storage environments have been resolved, achieving efficient and accurate online non-destructive detection of grain moisture.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING AGRI MECHANIZATION INST MIN OF AGRI
- Filing Date
- 2025-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for detecting grain moisture are insufficient to meet the demands of modern grain storage and processing for efficient, accurate, and non-destructive testing. In particular, their accuracy and stability are inadequate in storage environments, and they are severely affected by environmental factors and grain porosity.
Frequency data was collected in closed and open channels using multiple sets of parallel electrode devices. The data was then corrected by combining data from environmental monitoring sensors and pressure strain gauges. A multi-channel dielectric constant difference weighted fusion and temperature compensation model was constructed, and the detection results were optimized using a Kalman filter.
It significantly improves the accuracy and reliability of grain moisture detection, eliminates interference from environmental factors and porosity, achieves efficient and non-destructive online monitoring, and significantly enhances long-term stability and continuity.
Smart Images
Figure CN120489219B_ABST