309 | 5 | 124 |
下载次数 | 被引频次 | 阅读次数 |
传统机械门锁钥匙易丢失、易被复制;密码型门禁锁密钥易泄露、易遗忘;基于Wi-Fi技术的门禁锁部署受限于网络覆盖范围。针对这些问题,设计一种基于窄带物联网(narrow band internet of things,NB-IoT)的智能门禁锁。该门禁锁利用指纹信息作为身份凭据,NB-IoT技术作为通信方式。系统主要由外设、控制器、NB-IoT模块、信息邮局等模块组成,可实现指纹采集、指纹匹配、指纹删除、图像采集与传输、拜访提醒、远程开门与报警等功能。经测试,所有功能均可正常运行。最后,将该门禁锁系统分别与基于RFID技术、Wi-Fi技术、蓝牙技术的门禁锁进行对比,结果表明,基于NB-IoT技术和指纹识别技术的智能门禁锁识别迅速准确、难以被复制,具有更广的网络覆盖范围、更低的功耗和更安全可靠的身份凭据等优势。
Abstract:The key of conventional mechanical lock is easy to be lost and duplicated; the password entrance guard lock shares similar problems, like the high possibility of leaking and forgetting the password; the entrance guard lock based on Wi-Fi is limited by the scope of the network. In order to solve these problems, a smart access control lock based on the narrow-band internet of things(NB-IoT) is proposed, which uses fingerprint as the identity information,and NB-IoT technology as a communication method. The system is mainly composed of peripherals, controllers,NB-IoT modules, information post offices and other modules, which can realize the functions of fingerprint collecting,fingerprint matching, fingerprint deleting, image collecting and transmitting, visit reminding, remote door opening and alarming. The tests confirm all the effectiveness of all the functions. Finally, the access control system is compared with access control locks based on RFID technology, Wi-Fi technology, and Bluetooth technology, the findings show that the smart lock identification based on NB-IoT technology and fingerprint recognition technology is the fastest and the most accurate one, difficult to be duplicated. It enjoys the advantages of wider network coverage, less power consumption, and more secure identity information.
[1]路遥.安防门禁的最新技术和发展趋势[J].信息与电脑,2016(2):27.
[2]赵华峰,邹祥祥,廖杰.基于云计算的二维码门禁系统[J].中国公共安全(综合版),2016(13):129-132.
[3]贾广政,魏东,王永顺.智能门锁身份识别系统设计与开发[J].计算机工程与设计,2019, 40(7):2094-2100.
[4]王兴,侯礼宁,白雪.基于RFID技术的身份证识别门禁系统开发[J].高技术通讯,2019, 29(6):539-545.
[5]许佩冉.人脸识别技术在安保工作中的应用及发展趋势研究[J].智能建筑,2017(12):35-37.
[6] HUSSEIN N A, MANSOORI I A. Smart door system for home security using raspberry pi3[C]//Proceedings of the 2017International Conference on Computer and Applications(ICCA), September 6-7, 2017, Doha. New York:IEEE Xplore,2017:395-399.
[7]李韩军,张宜军,赵行明,等.基于蓝牙4.0技术的智慧门禁系统的研究[J].自动化与仪器仪表,2019(6):65-68.
[8]张浩,边红军,唐磊,等.基于WIFI可视化门禁系统的设计与实现[J].信息技术与信息化,2018(4):62-66.
[9]王沁,乔路,王佳.一种智能门禁管家系统的设计[J].电子设计工程,2018, 26(22):103-107.
[10]唐志强.基于蓝牙通讯的设备间网络BDRP路由算法研究[D].成都:电子科技大学,2017:1-5.
[11]刘宁.自动指纹识别系统关键技术[M].长春:吉林大学出版社,2015:1-2.
[12] KOUZAYHA N, JABER M, DAWY Z. Measurement-based signaling management strategies for cellular IoT[J]. IEEE Internet of Things Journal, 2017, 4(5):1434-1444.
[13]刘梦君,沙涛,李丹,等.窄带物联网下的安全门锁密钥可靠更新方案[J].计算机科学,2019, 46(4):137-143.
[14] XUE Y L, CHEN B W. A research about acquisition and transmission of the water meter′s image based on STM32[J]. Advanced Materials Research, 2014, 1037:187-190.
[15]马馨雅.基于STM32的指纹识别门禁系统[J].电子世界,2018(24):157.
基本信息:
DOI:10.12194/j.ntu.20190707001
中图分类号:TU855;TP391.44;TN929.5
引用信息:
[1]张天奇,王进,李跃华.基于窄带物联网的智能门禁锁的设计与实现[J],2020(02):50-55+63.DOI:10.12194/j.ntu.20190707001.
基金信息:
南通市科技计划项目(JC2018132)