Citation

He G, Li X, Li X, Shen Z. China Saf. Sci. J. 2020; 30(11): 88-94.

Copyright

(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2020.11.013

PMID

unavailable

Abstract

In order to remotely monitor operation safety of tower cranes, and to reduce risk of monitoring workers, IoT technology was applied to obtain real-time sensor operation data of tower cranes, and a FEM-based real-time SMS for its structure was developed. Then, its dynamic structure mesh was updated automatically in real time on local computer by SMS based on sensor data collected by mobile communication network. Finally, linear equations governing operation process were solved by Cholesky solver, and a comparison between remote monitoring results and filed measurements was made for stress and deflection of tower crane members. The results show that solving efficiency of Cholesky is much better than that of Gauss solver with its time cost for each computation less than 0. 5 s. And analysis errors of SMS pertaining to deflection and strain results are respectively less than 14% and 12%, which indicate that SMS is reliable and accurate. © 2020 China Safety Science Journal

Language: zh