DocumentCode
3468196
Title
Development of a Novel Black Box for Tower Crane Based on an ARM-based Embedded System
Author
Wang, Ming ; Zhang, Guiqing ; Yan, Qiao ; Shen, Bin ; Yuan, Liyan ; Liu, Liang
Author_Institution
Shandong Jianzhu Univ., Jinan
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
82
Lastpage
87
Abstract
This paper presents a novel black box, a safety control system for tower crane, which provides data recording, multifunction restrictors, intelligent operation and data analysis function. The black box developed on the basis of an ARM-based (advanced RISC machines) embedded system acquires high performance, low cost and high reliability. Owing to being designed on platform concept, it is convenience for operation and simple for maintaining. Its acquired data can be processed and stored into a flash disk USB device in terms of file that enlarges the storage volume to an unlimited range. The black box installed on a tower crane will ease craneman burden, improve operating efficiency, enhance tower crane safety performance and lower the cost of tower crane safety control system. The analysis software can interpret all acquired data and the working state can be replayed in software interface. With its help the cause of incidents can be easily to be found out.
Keywords
control engineering computing; cranes; data analysis; embedded systems; production engineering computing; reduced instruction set computing; safety systems; ARM-based embedded system; advanced RISC machines; data analysis function; data recording; intelligent operation; multifunction restrictors; novel black box; safety control system; tower crane; Control systems; Costs; Cranes; Data analysis; Embedded system; Machine intelligence; Maintenance; Poles and towers; Reduced instruction set computing; Safety; ARM; Black box; Embedded system; Monitor System; Tower crane;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4338535
Filename
4338535
Link To Document