A method for monitoring the operating state of a phosphogypsum road construction material mixing plant
By combining current change rate and temperature difference in the phosphogypsum road construction material mixing equipment, and using fuzzy C-means clustering and extended Kalman filtering algorithms to dynamically adjust the state observer, the false alarm problem of equipment operation status monitoring was solved, achieving a balance between equipment safety and production continuity.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUBEI CHANG YAOXIN MATERIALS LIMITED BY SHARE
- Filing Date
- 2026-03-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot monitor the operating status of phosphogypsum road construction material mixing equipment in real time and accurately, leading to false alarms and unplanned shutdowns, and failing to balance equipment safety and production continuity.
By acquiring the main motor current change rate and material temperature difference, and combining the fuzzy C-means clustering model and extended Kalman filter algorithm, the noise matrix of the state observer is dynamically adjusted, and the dynamic safety threshold is calculated to achieve multi-dimensional perception and adaptive monitoring of the equipment's operating status.
It improves the real-time performance and accuracy of viscosity coefficient estimation, effectively avoids false alarms and equipment overload damage, and ensures production continuity and equipment safety.
Smart Images
Figure CN122401650A_ABST