《電子技術(shù)應(yīng)用》
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基于5G网联无人机的智慧巡防应用研究
2021年电子技术应用第5期
于海洋,董石磊,张学智
中国电信股份有限公司研究院,北京102209
摘要: 为提升治安巡防等的快速响应与智慧化水平,基于5G、无人机、边缘计算(MEC)以及人工智能(AI),构建了一套网联无人机智慧巡防解决方案。通过专用5G通信终端实现无人机网联接入,借助5G上行超大带宽实现高清视频远程回传,基于5G MEC超低时延实现无人机超视距精准控制。针对低空无人机视频特征,优化人脸识别算法,实时精准捕捉人脸并进行人物特征AI识别,实现智慧巡防。在施工工地进行了应用实践与测试,对工地附近人员是否佩戴口罩进行实时监测,达到了预期效果。
關(guān)鍵詞: 智慧巡防 5G 无人机 MEC AI
中圖分類(lèi)號(hào): TN919.5
文獻(xiàn)標(biāo)識(shí)碼: A
DOI:10.16157/j.issn.0258-7998.211313
中文引用格式: 于海洋,董石磊,張學(xué)智. 基于5G網(wǎng)聯(lián)無(wú)人機(jī)的智慧巡防應(yīng)用研究[J].電子技術(shù)應(yīng)用,2021,47(5):11-13,18.
英文引用格式: Yu Haiyang,Dong Shilei,Zhang Xuezhi. Research on intelligent patrol application based on 5G networked unmanned aerial vehicle[J]. Application of Electronic Technique,2021,47(5):11-13,18.
Research on intelligent patrol application based on 5G networked unmanned aerial vehicle
Yu Haiyang,Dong Shilei,Zhang Xuezhi
Beijing Research Institute of China Telecom Corporation Limited,Beijing 102209 China
Abstract: In order to improve the rapid response and intelligent level of public security patrol, a set of networked UAV intelligent patrol solution is constructed based on 5G, UAV(unmanned aerial vehicle), MEC(multi-access edge computing) and AI(artificial intelligence). UAV network connection is realized through dedicated 5G communication terminal, high-definition video remote backhaul is realized with 5G uplink ultra-large bandwidth, and ultra-low latency of 5G MEC is used to realize precise control of UAV beyond visual range. Aiming at the video features of low-altitude UAVs, the face recognition algorithm is optimized, the face is accurately captured in real time and the character feature AI recognition is performed to realize smart patrol and defense. Application practices and tests were carried out on the construction site, real-time monitoring of whether people near the construction site were wearing masks, the expected results were achieved.
Key words : intelligent patrol;5G;UAV;MEC;AI

0 引言

    當(dāng)下的社會(huì)環(huán)境,龐大的人流、物流、資金流等高速流動(dòng),新冠疫情防控持續(xù)不能松懈,社會(huì)治安要素的動(dòng)態(tài)管控難度加大,僅靠傳統(tǒng)警務(wù)模式、方法和手段管理已不能滿(mǎn)足需求[1]。公安機(jī)關(guān)迫切需要利用AI識(shí)別、視頻監(jiān)控、無(wú)人機(jī)追蹤等各類(lèi)新興信息化手段和技術(shù)開(kāi)展動(dòng)態(tài)、立體、智慧巡防[2]。

    近年來(lái),無(wú)人機(jī)市場(chǎng)規(guī)模增長(zhǎng)迅速,在多行業(yè)、多領(lǐng)域得到重要應(yīng)用。在警務(wù)巡防領(lǐng)域,5G使能網(wǎng)聯(lián)無(wú)人機(jī)技術(shù),以最小的延遲傳輸大量的數(shù)據(jù)[3]。本文介紹了基于5G網(wǎng)聯(lián)無(wú)人機(jī)智慧巡防解決方案,通過(guò)5G網(wǎng)絡(luò)使現(xiàn)場(chǎng)情報(bào)的獲取和傳輸更清晰、流暢,使指揮中心和現(xiàn)場(chǎng)作戰(zhàn)協(xié)同更加實(shí)時(shí)精準(zhǔn)?;跓o(wú)人機(jī)高分辨率影像的人臉識(shí)別,加速疑犯的識(shí)別效率,提升識(shí)別精度。在疫情防控方面,及時(shí)發(fā)現(xiàn)人員聚集、未佩戴口罩等風(fēng)險(xiǎn)因素。




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作者信息:

于海洋,董石磊,張學(xué)智

(中國(guó)電信股份有限公司研究院,北京102209)

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