An intelligent control method and system for a malus baccata quick-freezing device based on the internet of things
By using an IoT-based intelligent control method to optimize the quick-freezing conditions and placement scheme of the prickly pear quick-freezing equipment, the problems of poor quick-freezing effect and high energy consumption of the equipment were solved, achieving efficient and low-energy quick-freezing of prickly pears and improving economic benefits.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUIZHOU UNIV
- Filing Date
- 2023-12-15
- Publication Date
- 2026-06-12
AI Technical Summary
Existing quick-freezing equipment for prickly pears often results in poor quick-freezing effects and high energy consumption, leading to fruit damage and economic losses.
By adopting an IoT-based intelligent control method, the optimal quick-freezing conditions and placement schemes for prickly pear quick-freezing equipment are obtained through testing and analysis. The quick-freezing status and energy consumption of the equipment are optimized, and Bayesian networks and Markov chain algorithms are used for fault tracing and repair, thereby realizing intelligent control of the equipment.
It improved the efficiency and quality of quick-freezing prickly pears, reduced the generation of prickly pears with abnormal quick-freezing conditions, reduced energy consumption, and increased economic benefits.
Smart Images

Figure CN117826893B_ABST