Visual quality inspection-based automatic production line logistics control method, terminal and storage medium
By establishing two-way communication between PLC, vision inspection system, and industrial robots in the new energy vehicle production line, parallel collaboration of parts processing, vision inspection, rework, and spot checks is achieved, solving the problems of low production efficiency and resource waste under the traditional logistics control mode, and improving production efficiency and inspection accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIER MACHINE TOOL GROUP
- Filing Date
- 2026-05-21
- Publication Date
- 2026-06-19
AI Technical Summary
Traditional logistics control models in automated processing and assembly production lines for large integrated die-cast body parts of new energy vehicles result in long waiting times for each process, slow production cycle, low rework and buffer utilization rates, and an inability to meet the demands of high-capacity and high-efficiency production. Furthermore, the quality inspection and rework processes are fragmented and cannot be dynamically scheduled.
By establishing two-way communication between the PLC, the vision inspection system, and the industrial robot, real-time logistics drive control is achieved. Combined with an adaptive exposure compensation mechanism, a graded quality judgment model, a comprehensive scheduling cost function, and defect feature extraction, workpiece diversion and trajectory planning are optimized, enabling parallel collaboration of parts processing, visual inspection, rework processing, and sampling inspection.
It significantly shortened the production line waiting time, improved the production cycle and equipment utilization, enhanced the detection accuracy and reliability of quality inspection results, balanced the workstation load, optimized the utilization of rework resources and quality inspection resources, avoided motion interference, and formed a closed-loop quality control.
Smart Images

Figure CN122239656A_ABST