Data processing method and apparatus, electronic device, and storage medium
By automatically comparing and analyzing models, the problems of low efficiency and insufficient accuracy caused by manual analysis in automobile manufacturing have been solved, enabling rapid and accurate factory selection and improving the efficiency and accuracy of process feasibility analysis.
CN122175431APending Publication Date: 2026-06-09CHONGQING LANDIAN AUTOMOBILE TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING LANDIAN AUTOMOBILE TECHNOLOGY CO LTD
- Filing Date
- 2026-02-11
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
In automobile manufacturing, the reliance on manual analysis in existing technologies leads to inefficiencies and insufficient accuracy in process feasibility analysis.
Method used
By acquiring data on target vehicle models and candidate factories, and performing automatic comparisons, the most suitable production factory is determined. This includes comparing and analyzing vehicle model data with production capacity data, using rule engines or analysis models for multi-dimensional cross-validation, and generating structured analysis results.
Benefits of technology
It improves the efficiency and accuracy of process feasibility analysis, avoids the shortcomings of manual analysis, and enables rapid and accurate factory selection.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122175431A_ABST
Abstract
This application provides a data processing method, apparatus, electronic device, and storage medium. The method includes: acquiring vehicle model data of a target vehicle model; acquiring candidate production capacity data for each candidate factory among at least one candidate factory; comparing the vehicle model data with the candidate production capacity data to obtain an analysis result for each candidate factory, wherein, for each candidate factory, the analysis result indicates the feasibility of the candidate factory's process being suitable for the target vehicle model; and, based on the analysis result for each candidate factory, determining a target factory among the at least one candidate factory for production of the target vehicle model. This application solves the technical problems of low efficiency and insufficient accuracy in process feasibility analysis due to excessive reliance on manual labor in related technologies.
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