An automatic positioning intelligent logistics conveying line control method, device and medium
By fusing multimodal positioning data and model predictive control algorithms using an unscented Kalman filter, the problems of inaccurate positioning and unstable control in logistics transportation systems in dynamic environments are solved, achieving efficient and reliable logistics transportation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-13
- Publication Date
- 2026-04-10
AI Technical Summary
In existing technologies, logistics delivery systems lack efficient response capabilities in dynamic environments, and the accuracy of multimodal data fusion is insufficient, leading to inaccurate positioning and unstable control.
An unscented Kalman filter is used to fuse positioning data from wireless ranging, radio frequency identification, and image perception. Combined with a model predictive control algorithm, the conveyor line is divided into multiple independent control areas, and control parameters are dynamically adjusted.
It improves the positioning accuracy and response speed of logistics transportation, enhances the system's adaptability and automation level, and strengthens the intelligence level of the logistics system.
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Figure CN121386676B_ABST
Abstract
Citation Information
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