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.

CN117826893BActive Publication Date: 2026-06-12GUIZHOU UNIV

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

Technical Problem

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.

Method used

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.

🎯Benefits of technology

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.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the field of quick freezing equipment, and discloses a method and system for intelligent regulation and control of quick freezing equipment for roxburgh rose based on the Internet of Things, comprising the following steps: quick freezing test of a single roxburgh rose is carried out by the quick freezing equipment for roxburgh rose, and the first quick freezing condition is determined according to the test result; secondary quick freezing test of multiple roxburgh roses is carried out under the first quick freezing condition and various roxburgh rose placement schemes to obtain the best placement scheme for roxburgh roses; based on the best placement scheme for roxburgh roses, the placement position of roxburgh roses with abnormal quick freezing state is obtained, and the quick freezing state and the placement position of roxburgh roses with abnormal quick freezing state are analyzed in combination, and the quick freezing condition and the quick freezing equipment for roxburgh roses are optimized based on the analysis result, and finally the energy consumption value of the quick freezing equipment for roxburgh roses is controlled. The present application can optimize the quick freezing equipment for roxburgh roses and the quick freezing condition based on the quick freezing state of roxburgh roses, improve the efficiency of quick freezing, reduce the generation of roxburgh roses with abnormal quick freezing state, and improve economic benefits.
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