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.
Published in | American Journal of Environmental and Resource Economics (Volume 3, Issue 2) |
DOI | 10.11648/j.ajere.20180302.11 |
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), 2018. Published by Science Publishing Group |
Elevators of Colleges and Universities, Safety Management, Wireless Emergency Communication, Remote Monitoring, Data Mining
[1] | Dong Ming, Fang Huanhua. Discussion on the safe operation of elevators in university libraries [J]. Journal of Shangrao Normal University, 2012, 32(6):36-42. |
[2] | Guo Feng. Hospital elevator safety management strategy [J]. Medical Equipment, 2016, 29(9):105-105. |
[3] | Zhou Yuhua, Dong Enguo, Zhang Tao. Strengthening elevator safety management and creating a harmonious campus environment [J]. Modern State-owned Enterprise Research, 2015, 06:77. |
[4] | Zhong Guangxiong, Zeng Yaochuan, Xu Chunqiao. Strengthening the supervision of elevator maintenance is an effective way to ensure the safe operation of elevators [J]. Quality and Technical Supervision Research, 2012, 23(5):57-60. |
[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. |
[9] | Xu Min. Attention to elevator safety [J]. Safety, 2014, (02): 34-35. |
[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. |
[14] | J. L. Pauls. Evacuation and Other Fire Safety Measures in large buildings: Missed opportunities for research [J]. Disaster Management-redhill, 1977, 6:128. |
[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. |
[16] | Chen Zhaofang, Zhang Yushan. Evaluation and application of elevator safety based on entropy weight and grey relational method [J]. Safety and Environmental Engineering, 2016, 23 (04): 109-112. |
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
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
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
@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://article.sciencepublishinggroup.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} }
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 PY - 2018 N1 - https://doi.org/10.11648/j.ajere.20180302.11 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 SP - 12 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 -