A Multi-Dimensional Integration and Intelligent Management Method for Silkworm Germplasm Resources

By linking multi-source data through traceability identification, standardization processing, and an improved K-means clustering algorithm, the problems of data fragmentation and insufficient intelligence in silkworm germplasm resource management have been solved. This has enabled the precise integration and intelligent management of multi-dimensional data, thereby improving the utilization efficiency and breeding efficiency of germplasm resources.

CN121660397BActive Publication Date: 2026-05-26SICHUAN ACAD OF AGRI SCI SERICULTURE INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SICHUAN ACAD OF AGRI SCI SERICULTURE INST
Filing Date
2026-02-05
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

The management of silkworm germplasm resources suffers from problems such as data fragmentation, non-standard processing, inaccurate classification, and insufficient intelligent management, resulting in serious data silos and making it difficult to achieve the correlation, integration, and accurate utilization of multi-dimensional data.

Method used

By adopting a multi-dimensional integration and intelligent management approach, multi-source data is linked through source identification, outliers are identified using the Grubbs test, and standardized transformation and imputation are performed. Principal component analysis and association rule mining are combined to extract core features, and an improved K-means clustering algorithm is used for classification. A dynamic database and intelligent management platform are constructed to achieve dynamic expansion and precise management of data.

Benefits of technology

By breaking down data silos, standardized processing and precise classification of multi-dimensional data have been achieved, improving the utilization efficiency and intelligent management of germplasm resources, and supporting precision breeding and efficient resource utilization.

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Abstract

This invention belongs to the field of data processing and management technology, specifically relating to a multi-dimensional integration and intelligent management method for silkworm germplasm resources. It aims to solve problems such as data fragmentation, non-standardized processing, low classification accuracy, and insufficient intelligence in existing management practices. The method includes: collecting multi-source raw data according to four dimensions and binding them with unique traceability identifiers; forming a standardized dataset through outlier processing, standardization transformation, and integrity verification; integrating and generating a complete data archive, extracting single-dimensional core features and cross-dimensional correlation features; constructing a dynamic database after improving K-means clustering classification; and building an intelligent management platform to achieve full-process control and periodically iteratively optimizing the model. The system includes corresponding linkage modules, with the unique traceability identifier as the core associated data. This achieves deep integration and standardized management of multi-source data, improves classification accuracy and management intelligence, and forms a closed-loop mechanism.
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