一种基于5G通信的AGV低电量自触发精准回充系统及方法

By working together with a multimodal sensing module and a 5G communication terminal, combined with a dynamic dual-threshold mechanism and an improved auction algorithm, the problems of delayed power detection, insufficient positioning accuracy, and cluster scheduling conflicts in AGV charging are solved, achieving accurate recharging and low conflict probability under heavy load conditions.

CN120963432BActive Publication Date: 2026-07-17BEIJING WANFEI TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING WANFEI TECH CO LTD
Filing Date
2025-08-05
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing AGV charging technologies suffer from issues such as power outage risks due to delayed power detection, insufficient positioning accuracy, and cluster scheduling conflicts, especially under heavy load conditions. Furthermore, 5G technology exhibits latency differences and insufficient real-time edge capabilities in the perception-control process.

Method used

By employing a multimodal sensing module, a 5G communication terminal, and MEC nodes working in concert, combined with a dynamic dual-threshold mechanism and an improved auction algorithm, the system enables AGVs to automatically and accurately recharge when their battery is low. Through a three-level positioning strategy and an anti-deadlock scheduling algorithm, the system ensures the real-time performance of battery detection and positioning accuracy, and reduces the probability of cluster conflicts.

Benefits of technology

It achieves dynamic response to voltage drops under heavy-load conditions, millimeter-level docking accuracy, and a cluster charging deadlock probability of less than 1%, thus improving the real-time performance and accuracy of AGV charging.

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Abstract

本发明公开了一种基于5G通信的AGV低电量自触发精准回充系统及方法。系统包括:终端层(激光雷达、3D摄像头、红外接收器、5G模块)、边缘层(MEC节点运行动态决策算法)和云端层(数字孪生平台)。方法实现三步控制:1.自触发机制:通过监测电池电压跌落率(dV / dt)与剩余电量双阈值,利用5G uRLLC切片上报预充电请求;2.三级定位:10m外5G TDOA+SLAM粗定位(±50cm),1‑10m内激光点云匹配+视觉二维码识别(±2cm),1m内红外编码+十字激光校准(±1mm),十字激光器以850nm波长投射至AGV光电传感器阵列,当光斑中心偏离基准点>0.5mm时,驱动轮执行差速转向(角速度ω=0.5×偏移量);3.集群调度:基于改进拍卖算法分配充电桩,时空走廊模型规避路径冲突。对接耗时缩短50%至90s,定位精度达毫米级,充电桩利用率提升40%。
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