NB-IOT-based orchard frost warning method and system
By constructing an orchard frost early warning system based on NB-IoT, and adopting multi-dimensional environmental perception, distributed intelligent computing, and differentiated prevention and control measures, the system has solved the problems of insufficient sensor deployment density and fixed threshold alarms, and has achieved accurate monitoring and on-demand prevention and control of orchard frost, thereby improving the accuracy of early warning and the efficiency of resource utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGLUO UNIV
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing orchard frost early warning technologies suffer from problems such as insufficient sensor deployment density, the use of fixed threshold alarm modes, and the lack of dynamic response mechanisms to frost intensity and duration, resulting in monitoring blind spots, poor early warning accuracy, and waste of frost prevention resources.
An orchard frost early warning system based on NB-IoT was constructed, which adopts multi-dimensional environmental perception, distributed intelligent computing, dynamic assessment of frost risk and precise prevention and control decision-making. Through non-uniform gridded sensor deployment, Kriging space interpolation, machine learning prediction and differentiated prevention and control measures, the system can achieve accurate monitoring and on-demand prevention and control of orchard frost risk.
It achieves high-resolution coverage of the spatial heterogeneity of the orchard temperature field, improves the accuracy and foresight of frost warning, avoids resource waste, ensures the maximization of frost protection effect and cost controllability, and reduces the system's real-time response capability and operating efficiency.
Smart Images
Figure CN122416680A_ABST