Volume 8 Number 4 (Oct. 2019)
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IJCCE 2019 Vol.8(4): 169-177 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2019.8.4.169-177

Research on Intelligent Anti-collision Monitoring for Construction Tower Crane Group Based on GNSS Sensors

Mingduan Zhou, Qianlin Wang, Hongjie Tan, Miao Wang
Abstract—A novel anti-collision monitoring method is proposed based on GNSS single-epoch positioning technology via high-precision carrier phase observations, which is applied to intelligent anti-collision monitoring for construction tower crane group. GNSS-based anti-collision monitoring principles are given in detail. A set of GNSS-based anti-collision monitoring auxiliary system named as GNSS_ACS for construction tower crane group is designed and developed. It can realize three kinds of alarm monitoring function consist of C-level, B-level and A-level respectively. The monitoring accuracy in the GNSS_ACS system ,for 600 consecutive epochs of the rover station such as rover_1727, the min-error of N-RMS is 0.007m, the max-error of N-RMS is 0.012m and the avg-error of N-RMS is 0.010m; the min- error of E-RMS is 0.005m, the max-error of E-RMS is 0.008m and the avg-error of E-RMS is 0.011m; the min-error of U-RMS is 0.015m, the max-error of U-RMS is 0.029m and the avg-error of U-RMS is 0.022m, is obtained in cm-level which verifies the effectiveness and feasibility of the proposed solutions in the experimental results. It can provide a new solution for intelligent anti-collision monitoring of construction tower crane group.

Index Terms—GNSS single-epoch positioning, anti-collision monitoring, hoisting operation, construction tower crane.

Mingduan Zhou, Qianlin Wang, and Hongjie Tan are with School of Geomatrics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China. Miao Wang is with School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China.

Cite:Mingduan Zhou, Qianlin Wang, Hongjie Tan, Miao Wang, "Research on Intelligent Anti-collision Monitoring for Construction Tower Crane Group Based on GNSS Sensors," International Journal of Computer and Communication Engineering vol. 8, no. 4, pp. 169-177, 2019.

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, CNKI, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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