American Journal of Environmental and Resource Economics

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Research on Elevator Safety Management Information Technology in Colleges and Universities: Taking Xi'an University of Technology as an Example

Received: 21 June 2018    Accepted: 24 July 2018    Published: 31 August 2018
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Abstract

With the increasing use of elevators in Colleges and universities, safety accidents caused by elevators are frequent. In order to strengthen the safety management of elevators in colleges and universities and ensure the safety of personnel in elevators, taking Xi'an University of Technology as an example, combined with advanced technologies such as Internet of Things, cloud computing, data mining, the elevator of campus takes the following technical measures: the elevator engine room equips with standardized construction, the traction machine equips with emergency power supply, the capsule equips with emergency flasher and with "one button" wireless emergency communication system, and the control cabinet equips with elevator safety remote monitoring system,elevator safety early warning and forecasting platform based on data mining. The paper conducts further data mining by using the elevator operation data obtained by the data acquisition terminal, realizing the transmission from the passive alarm of the trapped personnel to the automatically elevator alarming, and even to the early warning and forecast of elevator accidents. It breaks through the "bottleneck" of the "last kilometer" technology for emergency rescue of University elevators and provides a timely, effective, convenient and reliable communication measure for passengers. Thus these measures can protect the safety of teachers and students when they take the elevator and maintain the campus’s security and stability.

DOI 10.11648/j.ajere.20180302.11
Published in American Journal of Environmental and Resource Economics (Volume 3, Issue 2, June 2018)
Page(s) 12-17
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Elevators of Colleges and Universities, Safety Management, Wireless Emergency Communication, Remote Monitoring, Data Mining

References
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[5] Zhang hongmei. How to ensure the safe operation of elevators [J]. Electronic technology, 2013, (08):59-61.
[6] Bulletin of the standing committee of the national people's congress. People's Republic of China Special Equipment Safety Law [M]. Beijing: Law Press. 2014.
[7] Xu Bin, Li Lin, Zhong Luo. Intelligent elevator analysis and early warning platform for big data [J]. Journal of Wuhan University of Technology, 2017, 41 (2): 359-362.
[8] DingZiheng. See the safety management of elevators [J]. Management Observation, 2016, 33:62-63.
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[10] Liang Zhuocheng. Thoughts on the safe operation of elevators [J]. New Technology and New Products in China, 2014, (01): 185-186.
[11] Zhang Wei. Analysis of elevator safety evaluation [J]. Modern Commercial Industry, 2014, (09): 175.
[12] Fu Jianlei. Paying attention to elevator safety [J]. Science and Technology, 2013, (21):163.
[13] V. Bazjanac. Interactive Simulation of building Evacuation with Elevators [J]. Journal of Fire Protection Engineering, 1997, 5: p15~29.
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[15] N. C. McConnell, K. E. Boyce, J. Shields, E. R. Galea, et al. The UK 9/11 evacuation study: Analysis of survivors’recognition and response phase in WTC1 [J]. Fire Safety Journal, 2010, 45: 21-34.
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Author Information
  • Department of School of Management and Logistics, Xi'an University of Technology, Xi'an, China

  • Department of College of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an, China

  • Department of College of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an, China

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  • APA Style

    Chang Shan, Li Wenfeng, Li Dajuan. (2018). Research on Elevator Safety Management Information Technology in Colleges and Universities: Taking Xi'an University of Technology as an Example. American Journal of Environmental and Resource Economics, 3(2), 12-17. https://doi.org/10.11648/j.ajere.20180302.11

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    ACS Style

    Chang Shan; Li Wenfeng; Li Dajuan. Research on Elevator Safety Management Information Technology in Colleges and Universities: Taking Xi'an University of Technology as an Example. Am. J. Environ. Resour. Econ. 2018, 3(2), 12-17. doi: 10.11648/j.ajere.20180302.11

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    AMA Style

    Chang Shan, Li Wenfeng, Li Dajuan. Research on Elevator Safety Management Information Technology in Colleges and Universities: Taking Xi'an University of Technology as an Example. Am J Environ Resour Econ. 2018;3(2):12-17. doi: 10.11648/j.ajere.20180302.11

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  • @article{10.11648/j.ajere.20180302.11,
      author = {Chang Shan and Li Wenfeng and Li Dajuan},
      title = {Research on Elevator Safety Management Information Technology in Colleges and Universities: Taking Xi'an University of Technology as an Example},
      journal = {American Journal of Environmental and Resource Economics},
      volume = {3},
      number = {2},
      pages = {12-17},
      doi = {10.11648/j.ajere.20180302.11},
      url = {https://doi.org/10.11648/j.ajere.20180302.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajere.20180302.11},
      abstract = {With the increasing use of elevators in Colleges and universities, safety accidents caused by elevators are frequent. In order to strengthen the safety management of elevators in colleges and universities and ensure the safety of personnel in elevators, taking Xi'an University of Technology as an example,  combined with advanced technologies such as Internet of Things, cloud computing, data mining, the elevator of campus takes the following technical measures: the elevator engine room equips with standardized construction, the traction machine equips with emergency power supply, the capsule equips with emergency flasher and with "one button" wireless emergency communication system, and the control cabinet equips with elevator safety remote monitoring system,elevator safety early warning and forecasting platform based on data mining. The paper conducts further data mining by using the elevator operation data obtained by the data acquisition terminal, realizing the transmission from the passive alarm of the trapped personnel to the automatically elevator alarming, and even to the early warning and forecast of elevator accidents. It breaks through the "bottleneck" of the "last kilometer" technology for emergency rescue of University elevators and provides a timely, effective, convenient and reliable communication measure for passengers. Thus these measures can protect the safety of teachers and students when they take the elevator and maintain the campus’s security and stability.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Research on Elevator Safety Management Information Technology in Colleges and Universities: Taking Xi'an University of Technology as an Example
    AU  - Chang Shan
    AU  - Li Wenfeng
    AU  - Li Dajuan
    Y1  - 2018/08/31
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    DO  - 10.11648/j.ajere.20180302.11
    T2  - American Journal of Environmental and Resource Economics
    JF  - American Journal of Environmental and Resource Economics
    JO  - American Journal of Environmental and Resource Economics
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    EP  - 17
    PB  - Science Publishing Group
    SN  - 2578-787X
    UR  - https://doi.org/10.11648/j.ajere.20180302.11
    AB  - With the increasing use of elevators in Colleges and universities, safety accidents caused by elevators are frequent. In order to strengthen the safety management of elevators in colleges and universities and ensure the safety of personnel in elevators, taking Xi'an University of Technology as an example,  combined with advanced technologies such as Internet of Things, cloud computing, data mining, the elevator of campus takes the following technical measures: the elevator engine room equips with standardized construction, the traction machine equips with emergency power supply, the capsule equips with emergency flasher and with "one button" wireless emergency communication system, and the control cabinet equips with elevator safety remote monitoring system,elevator safety early warning and forecasting platform based on data mining. The paper conducts further data mining by using the elevator operation data obtained by the data acquisition terminal, realizing the transmission from the passive alarm of the trapped personnel to the automatically elevator alarming, and even to the early warning and forecast of elevator accidents. It breaks through the "bottleneck" of the "last kilometer" technology for emergency rescue of University elevators and provides a timely, effective, convenient and reliable communication measure for passengers. Thus these measures can protect the safety of teachers and students when they take the elevator and maintain the campus’s security and stability.
    VL  - 3
    IS  - 2
    ER  - 

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