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基于毫米波雷达的转接塔堵塞检测方法研究

刘文远 刘桂安 厉斌斌 刘鸿天

燕山大学学报2026,Vol.50Issue(4):328-337,10.
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燕山大学学报2026,Vol.50Issue(4):328-337,10.DOI:10.3969/j.issn.1007-791X.2026.04.006

基于毫米波雷达的转接塔堵塞检测方法研究

Research on blockage detection method for transfer tower based on millimeter wave radar

刘文远 1刘桂安 1厉斌斌 2刘鸿天3

作者信息

  • 1. 燕山大学人工智能学院(软件学院),河北秦皇岛 066004||燕山大学河北省软件工程重点实验室,河北秦皇岛 066004||燕山大学河北省网络感知与大数据研究中心,河北秦皇岛 066004
  • 2. 燕山大学河北省软件工程重点实验室,河北秦皇岛 066004||燕山大学河北省网络感知与大数据研究中心,河北秦皇岛 066004||燕山大学经济管理学院,河北秦皇岛 066004
  • 3. 燕山大学河北省网络感知与大数据研究中心,河北秦皇岛 066004||河北燕大燕软信息系统有限公司,河北秦皇岛 066004
  • 折叠

摘要

Abstract

With the rapid development of the Internet of Things and deep learning,intelligent production operations have become the trend of the new generation of industrial development.The blockage of cargo transshipment in dry bulk ports will significantly reduce the efficiency of transshipment operations.To this end,in this paper,based on the signal data collected by millimeter-wave radar,a semi-supervised anomaly detection model is constructed to detect and identify cargo blockage in the transfer tower.On the premise of ensuring that the data features of the blockage signal are not lost,the model first extracts a high resolution range profile from the collected original millimeter-wave radar signal,and then extracts features by adding a self-attention module and contrastive learning.Finally,the detection model can more accurately distinguish the difference between normal samples and blocked samples.Experimental comparison with multiple related models shows that the detection model proposed in this paper has the best effect on the corresponding task,and can achieve a detection rate of nearly 90%for normal samples.

关键词

毫米波雷达/无线感知/高分辨距离像/智能港口/堵塞检测

Key words

millimeter wave radar/wireless sensing/high resolution range profile/smart port/blockage detection

分类

信息技术与安全科学

引用本文复制引用

刘文远,刘桂安,厉斌斌,刘鸿天..基于毫米波雷达的转接塔堵塞检测方法研究[J].燕山大学学报,2026,50(4):328-337,10.

基金项目

国家自然科学基金资助项目(61672448) (61672448)

河北省自然科学基金资助项目(F2023203058,F2022203045) (F2023203058,F2022203045)

河北省软件工程重点实验室项目(2256763H) (2256763H)

河北省科学技术研究与发展计划-重点研发计划项目(22310301D) (22310301D)

秦皇岛市科学技术研究与发展计划项目(202401A004) (202401A004)

燕山大学学报

1007-791X

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