A method and system for predicting spoilage risk

By integrating multi-dimensional data collection and advanced algorithm models into the refrigerator, the problem of refrigerator food detection technology being unable to accurately predict the risk of spoilage has been solved. This enables accurate prediction and proactive intervention of food spoilage risk, extends the shelf life of food, and reduces the risk of users accidentally consuming spoiled food.

CN122153612APending Publication Date: 2026-06-05NINGBO FOTILE KITCHEN WARE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NINGBO FOTILE KITCHEN WARE CO LTD
Filing Date
2026-01-07
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing refrigerator food testing technologies cannot fully reflect the actual condition of food during storage, lacking the ability to accurately predict and proactively intervene in the risk of food spoilage, leading to food waste and health risks.

Method used

Through multi-dimensional data collection and algorithms, including environmental parameter sensors and food information collection devices, models such as Support Vector Machine (SVM), Long Short-Term Memory Network (LSTM), and Convolutional Neural Network (CNN) are used to predict the risk level, probability, score, and degree of food spoilage, and then proactive intervention is carried out in conjunction with the intervention module.

Benefits of technology

It enables accurate prediction and proactive intervention of the risk of food spoilage inside the refrigerator, extends the shelf life of food, reduces the risk of users accidentally eating spoiled food, and improves the intelligence level of the refrigerator and the user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of spoilage risk prediction method and system, the method includes: collecting the environmental parameter data inside refrigeration fresh-keeping equipment, the information data of target food;According to environmental parameter data, the information data of target food, determine the spoilage risk index information and remaining edible time of target food;According to the spoilage risk index information and remaining edible time of target food, determine the spoilage risk prediction result of target food;Based on the spoilage risk prediction result of target food, control refrigeration fresh-keeping equipment to carry out intervention processing.The spoilage risk prediction method provided in the application can improve the intelligent level and accuracy of food spoilage risk prediction in the refrigerator through multi-dimensional data acquisition and algorithm, and according to the prediction result, intervention processing is carried out, the food preservation period is prolonged, and the risk of user mis-eating spoiled food is reduced.
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