ARM Based Load and Hook Measuring and Tracking for Precision Hoist of Tower Crane

被引：0

作者：

Li, Yanming ^{[1
]}

Gong, Liang ^{[1
]}

Song, Jiahao ^{[1
]}

Huang, Yixiang ^{[1
]}

Liu, Chengliang ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2013年

关键词：

Hook tracking; load capturing; tower crane; visual monitor; precision hoisting; SYSTEM; SIMULATION; SAFETY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1191 / 1196

页数：6