Monitoring Method Research on Passenger Behavior on Escalator Based on Digital Twin

Authors

Nan Lü, College of Metrology&Measurement Engineering, China Jiliang University, Hangzhou 310018, ChinaFollow
Qibing Wang, College of Metrology&Measurement Engineering, China Jiliang University, Hangzhou 310018, China
Lu Jiawei, College of Metrology&Measurement Engineering, China Jiliang University, Hangzhou 310018, China
Juntong Chen, Special Equipment Institute, Hangzhou Vocational&Technical College, Hangzhou 310018, China
Gang Xiao, College of Metrology&Measurement Engineering, China Jiliang University, Hangzhou 310018, ChinaFollow

Abstract

Abstract: In order to solve the problems that the traditional escalator cannot be monitored and analyzed in real time during operation, the management and maintenance only on escalator equipment side, and the lack of monitoring passenger dangerous behavior, a monitoring method of passenger behavior on escalator based on digital twin is proposed. By constructing the digital twin of escalators, a visual interface is designed to map the escalator running status and passenger behavior data. Through passenger video surveillance, the improved OpenPose posture recognition algorithm is used to obtain the key point data of human body. Posture recognition is classified to complete the real-time mapping of virtual characters, the rapid warning of potential dangers and the emergency stop control of fall behavior. The Experiments show that the method has the characteristics of high real-time performance, accurate recognition and strong interaction. The advantages of digital twin are used to simulate the passenger behavior in digital space to enhance data. This method can effectively help to deal with the accidents in time, protect the life and property of passenger.

Recommended Citation

Lü, Nan; Wang, Qibing; Jiawei, Lu; Chen, Juntong; and Xiao, Gang (2023) "Monitoring Method Research on Passenger Behavior on Escalator Based on Digital Twin," Journal of System Simulation: Vol. 35: Iss. 8, Article 10.
DOI: 10.16182/j.issn1004731x.joss.22-0434
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss8/10

First Page

1737

Last Page

1747

CLC

TP391.9

Recommended Citation

Lü Nan, Wang Qibing, Lu Jiawei, et al. Monitoring Method Research on Passenger Behavior on Escalator Based on Digital Twin[J]. Journal of System Simulation, 2023, 35(8): 1737-1747.

Corresponding Author

Xiao Gang

DOI

10.16182/j.issn1004731x.joss.22-0434