一种基于动态任务数据驱动的产线可视化管理平台
By using a dynamic task data-driven production line visualization management platform, data acquisition and task granularity can be adjusted in real time, solving the problems of data consistency and delayed abnormal response in the existing system, and achieving efficient task management and scheduling optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUXI ZHIYUAN INFORMATION TECH SERVICE CO LTD
- Filing Date
- 2025-05-13
- Publication Date
- 2026-07-17
AI Technical Summary
The existing production line visualization management system cannot adjust the data acquisition and update strategy in real time, resulting in data consistency issues and delayed anomaly response. Furthermore, the fixed task management granularity leads to insufficient anomaly localization granularity, making it unable to adapt to highly dynamic production line environments.
The management platform, driven by dynamic task data, includes modules for dynamic task data acquisition, task evolution modeling, adaptive refinement of task granularity, abnormal fluctuation trend detection, and scheduling decision linkage. Through real-time data acquisition, dynamic modeling, and adaptive granularity adjustment, it optimizes task management and scheduling decisions.
It enables real-time data perception, rapid anomaly identification, and intelligent scheduling in highly flexible, small-batch, and multi-variety production environments, thereby improving production response speed and resource utilization efficiency.
Smart Images
Figure CN120508385B_ABST