DocumentCode :
3313858
Title :
ARM based load and hook measuring and tracking for precision hoist of tower crane
Author :
Yanming Li ; Liang Gong ; Jiahao Song ; Yixiang Huang ; Chengliang Liu
Author_Institution :
Sch. of Mech. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
4-7 Aug. 2013
Firstpage :
1191
Lastpage :
1196
Abstract :
It is important to measure the activities of the hook and the load for precision hoisting and safe operation of a tower crane. Visual monitoring and image recognition are the optimum methods for crane hook activity measuring and precision hoisting. Advanced RISC Machines (ARM) is a promising controller for field measuring and controlling of tower crane, but high real time performance and low computation requirements are required for measuring system implemented using ARM. An ARM-based load and hook measuring and tracking system for tower crane is designed. Selecting lifting rope as the target object, an high-performance Improved Progressive Probabilistic Hough Transform (IPPHT) algorithm is proposed for hook activity measuring and tracking. Compared to Progressive Probabilistic Hough Transform (PPHT) more accurate detection is obtained, and the same time the computation time can be reduced to 20%. It is tested the IPPHT is fitting for ARM based measuring system.
Keywords :
Hough transforms; civil engineering computing; control engineering computing; cranes; image recognition; lifting; object tracking; probability; reduced instruction set computing; ARM based load measuring; Advanced RISC Machines; IPPHT algorithm; crane hook activity measuring; high-performance improved progressive probabilistic Hough transform algorithm; image recognition; lifting rope; load tracking; precision hoist; safe operation; tower crane control; visual monitoring; Algorithm design and analysis; Cranes; Image edge detection; Image segmentation; Monitoring; Poles and towers; Transforms; Hook tracking; load capturing; precision hoisting; tower crane; visual monitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-5557-5
Type :
conf
DOI :
10.1109/ICMA.2013.6618083
Filename :
6618083
Link To Document :
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