Material data processing method and system
By calculating the discreteness and attribution possibility of material data and dynamically adjusting the location of cluster centers, the problem of inaccurate clustering results in existing technologies is solved, more accurate material data classification and management is achieved, and inventory and production efficiency is improved.
Patent Information
- Application Number
- CN202510945835.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-09
- Publication Date
- 2025-10-10
- Estimated Expiration
- 2045-07-09
AI Technical Summary
In the existing technology, when analyzing automobile parts material data through the kmeans clustering algorithm, due to deviations in the data collection process, the clustering results are inaccurate and the center point is offset, affecting the accuracy of data processing.
By calculating the discrete degree and attribution possibility of material data, dynamically adjusting the position of the cluster center point, and using the influence weight to optimize the clustering results, the clustering results are gradually optimized to ensure that the cluster center point is close to the actual distribution of the data, and the cluster center point is recalculated using the weighted average method.
The accuracy and robustness of clustering results are improved, which can more accurately reflect the actual characteristics of material data, optimize inventory management and production scheduling, and reduce resource waste and management errors.