Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 673-677.doi: 10.11896/jsjkx.200400063

• Interdiscipline & Application • Previous Articles    

Design and Realization of Laboratory Equipment Management System Based on QR Code Technology and WeChat Mini-program Technology

CHEN Jing-xian   

  1. Department of Modern Education Technical Center,Hainan Medical University,Haikou 571199,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:CHEN Jing-xian,born in 1981,master.Her main research interests include Java programming teaching research and Java application system development.

Abstract: In view of the wide variety and large quantity of laboratory equipment,the equipment management work is complicated and cumbersome,the work intensity and pressure of laboratory management personnel are high.This paper proposes a laboratory equipment management system based on two-dimensional code technology and WeChat applet.Its functions include personnel management module,equipment management module and system management module.The equipment management module includes verification management,equipment borrowing management,equipment allocation management,equipment maintenance management,equipment obsolescence management,etc.The technology of the system uses a separate front-end and back-end architecture.The front-end includes the mobile terminal-WeChat applet and the PC terminal-Web browser,all using MVVM (Mo-del-View-ViewModel) design ideas.The back-end uses the SSM (SpringMVC+Spring+MyBatis) framework to achieve low-coupling,high-cohesion programs.Laboratory equipment uses QR codes as identification and marking,the operating cost is reduced and the efficiency is improved.The realization of this system reduces the repetitive workload of laboratory managers,improves the management efficiency of laboratory equipment,reduces management costs,and better promotes the scientific development of laboratories

Key words: Laboratory equipment management, MVVM, QR code technology, SSM, WeChat mini program

CLC Number: 

  • TP391
[1] ZHANG W P,WANG H M.Analysis on the Intelligent Management Mode of University Laboratory Equipment[J].Research and Exploration in Laboratory,2018(1):247-251.
[2] WANG W J,YIN X M.Application of mobile phone QR coderecognition technology in the management of large-scale instruments[J].Research and Exploration in Laboratory,2015(5):288-291.
[3] XI Z H,KONG X F,ZHOU A D.Information Construction of Public Instrument Laboratory Based on Mobile Terminals[J].Research and Exploration in Laboratory,2018,37(9):165-168.
[4] FENG J W.Laboratory appointment check-in and refined management based on QR code and new media[J].Telecom World 2016,289(6):225-226.
[5] YIN S P,WANG J Y.Intelligent Management and Practice ofUniversity Laboratory in Mobile Internet Era[J].Experimental Technology and Management,2018,35(10):262-264.
[6] MA R T,LI Y,RAO X.The Construction of Multi-dimensional University Laboratory Management Platform[J].Research and Exploration in Laboratory,2019,38(3):247-250.
[7] YUAN G L,LI F M,SHU Q J.Construction and practice of comprehensive laboratory management system[J].Experimental Technology and Management,2018,35(6):235-237,270.
[8] LV S J,HOU J C,ZHU W H.Research on Laboratory Innovation Management Based on WeChat Public Platform[J].Office Informatization,2019,24(1):43-45.
[9] ZHU Y L,YANG Z W,HUANG Y X.Analysis of the application of QR code in laboratory information management[J].China Science and Technology Information,2019(20).
[10] DONG A T,WEN J H.Design and realization of laboratoryequipment management system based on mini-program and cloud development[J].Experimental Technology and Management,2019,36(10):282-284.
[11] WU H,SUN Y C,LIU S X.Design and Implementation of Laboratory Equipment Management System Based on B/S Mode[J].Experimental Technology and Management,2019,36(7):270-273.
[1] LIU Jie-ling, LING Xiao-bo, ZHANG Lei, WANG Bo, WANG Zhi-liang, LI Zi-mu, ZHANG Hui, YANG Jia-hai, WU Cheng-nan. Network Security Risk Assessment Framework Based on Tactical Correlation [J]. Computer Science, 2022, 49(9): 306-311.
[2] GAO Chun-gang, WANG Yong-jie, XIONG Xin-li. MTDCD:A Hybrid Defense Mechanism Against Network Intrusion [J]. Computer Science, 2022, 49(7): 324-331.
[3] ZHANG Hong-bo, DONG Li-jia, PAN Yu-biao, HSIAO Tsung-chih, ZHANG Hui-zhen, DU Ji-xiang. Survey on Action Quality Assessment Methods in Video Understanding [J]. Computer Science, 2022, 49(7): 79-88.
[4] WANG Yu-fei, CHEN Wen. Tri-training Algorithm Based on DECORATE Ensemble Learning and Credibility Assessment [J]. Computer Science, 2022, 49(6): 127-133.
[5] LU Ting, HOU Guo-jia, PAN Zhen-kuan, WANG Guo-dong. Underwater Image Quality Assessment Based on HVS [J]. Computer Science, 2022, 49(5): 98-104.
[6] YANG Xiao-qin, LIU Guo-jun, GUO Jian-hui, MA Wen-tao. Full Reference Color Image Quality Assessment Method Based on Spatial and Frequency Domain Joint Features with Random Forest [J]. Computer Science, 2021, 48(8): 99-105.
[7] YONG Qi, JIANG Wei-na, LUO Yu-ze. Trial Risk Assessment System Based on Fuzzy Number Similarity [J]. Computer Science, 2021, 48(5): 209-216.
[8] ZUO Jian-kai, WU Jie-hong, CHEN Jia-tong, LIU Ze-yuan, LI Zhong-zhi. Study on Heterogeneous UAV Formation Defense and Evaluation Strategy [J]. Computer Science, 2021, 48(2): 55-63.
[9] LIU Shan-shan, ZHU Hai-long, HAN Xiao-xia, MU Quan-qi, HE Wei. Enterprise Risk Assessment Model Based on Principal Component Regression and HierarchicalBelief Rule Base [J]. Computer Science, 2021, 48(11A): 570-575.
[10] WANG Xiao-xiao, WANG Ting-wen, MA Yu-ling, FAN Jia-yi, CUI Chao-ran. Credit Risk Assessment Method of P2P Online Loan Borrowers Based on Deep Forest [J]. Computer Science, 2021, 48(11A): 429-434.
[11] ZHU Ling-ying, SANG Qing-bing, GU Ting-ting. No-reference Stereo Image Quality Assessment Based on Disparity Information [J]. Computer Science, 2020, 47(9): 150-156.
[12] LI Xin, DUAN Yong-cheng. Network Security Situation Assessment Method Based on Improved Hidden Markov Model [J]. Computer Science, 2020, 47(7): 287-291.
[13] ZHANG Zheng-lin,ZHANG Li-wei,WANG Wen-juan,XIA Li,FU Hao,WANG Hong-zhi,YANG Li-zhuang and
LI Hai. Survey on Computerized Neurocognitive Assessment System [J]. Computer Science, 2020, 47(2): 150-156.
[14] LIU Fan, WANG Li, LIU Kai, HUANG Xiao-feng. Architecture Design of Multiple Spacecraft Comprehensive Assessment System Based on Middle Platform [J]. Computer Science, 2020, 47(11A): 662-666.
[15] LI Kai-wen, XU Lin, CHEN Qiang. Relative Image Quality Assessment Based on CPNet [J]. Computer Science, 2020, 47(11): 159-167.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!