Intelligent evaluation method for quality of aquatic products based on data analysis

By collecting multi-dimensional signals from aquatic products using a multi-source sensor cluster device, and combining multi-modal feature analysis and neural network models, the problem of insufficient multi-source information fusion in existing technologies has been solved, enabling more precise and intelligent quality assessment of aquatic products and providing scientific quality control support.

CN122241520APending Publication Date: 2026-06-19TANGSHAN ANIMAL HUSBANDRY AQUATIC PROD QUALITY MONITORING CENT +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TANGSHAN ANIMAL HUSBANDRY AQUATIC PROD QUALITY MONITORING CENT
Filing Date
2026-03-20
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Most existing intelligent assessment technologies for aquatic product quality only analyze single-modal data and lack multi-source information fusion mechanisms. This makes the assessment results susceptible to changes in environmental factors or collection conditions, and they cannot effectively reveal the coupling relationship between various characteristics during the process of aquatic product quality change or identify abnormal states in the quality change trend. Their level of intelligence is low.

⚗Method used

By collecting spectral, image, gas, and environmental raw signals of aquatic products through a multi-source sensor cluster device, and combining multimodal feature analysis and neural network model, multimodal feature fusion and abnormal feature analysis are performed to establish a deep mining mechanism for quality-related features and abnormal features, construct a complete quality dynamic evolution process model, and achieve accurate quality assessment.

🎯Benefits of technology

It significantly improves the stability and reliability of aquatic product quality assessment, accurately identifies quality change trends and potential abnormalities, enhances the intelligence level of assessment, and provides scientific quality control decision support.

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Abstract

This invention relates to the field of data analysis technology, and in particular to a data-based intelligent assessment method for aquatic product quality. The method includes the following steps: acquiring sample data of aquatic products to be assessed; performing multimodal feature analysis on the sample data to be assessed using aquatic product signal monitoring to generate multimodal feature data of aquatic products; performing quality-related feature analysis on the multimodal feature data of aquatic products to generate quality-related feature data of aquatic products; performing abnormal feature analysis on the quality-related feature data of aquatic products to generate abnormal feature data of aquatic products; and performing intelligent quality assessment processing on the abnormal feature data of aquatic products to generate aquatic product quality assessment data. This invention achieves efficient intelligent quality assessment of aquatic products by analyzing objective factors affecting their quality.
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