Design of Crane Safety Monitoring System Based on Big Data Analysis
- DOI
- 10.2991/ameii-16.2016.140How to use a DOI?
- Keywords
- Tower crane. Big data. Safety monitoring
- Abstract
Aiming at the problems of tower crane safety performance assessment and prediction, put forward a scheme of tower crane safety monitoring based on large data analysis, this scheme provides a three-level architecture. Rank field by field data acquisition unit is responsible for collecting various operation parameters of tower crane, and on the basis of collection of various parameters on site using industrial-grade touch screen real-time display, analysis and early warning, provide data support for a line of the pilot; And departmental monitoring service can be gathered from the jurisdiction of all operation parameters of tower crane, provide data support for the management regulatory decisions, in the departmental service regulators can be via computer terminals and smartphone mobile terminal to realize the remote supervision is responsible for all kinds of tower crane; Center stage, through the large data analysis platform gathers various departments supervision server monitoring data, provide data support for the decision-making management decision-making management. On-site test show that the proposed scheme on tower crane safety performance assessment, prediction has certain advantage.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Guoliang Wang AU - Xianyi Cheng AU - Jiyao Li AU - Ping Qu PY - 2016/04 DA - 2016/04 TI - Design of Crane Safety Monitoring System Based on Big Data Analysis BT - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016) PB - Atlantis Press SP - 714 EP - 718 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-16.2016.140 DO - 10.2991/ameii-16.2016.140 ID - Wang2016/04 ER -