Sensor-enabled crane lifting

Crane lifting is an important but common task in industrial plants. In order to find a safe and cost effective path of lifting, a Master–Slave Parallel Genetic Algorithm and implement the algorithm on Graphics Processing Units using CUDA programming is developed to calculate a lifting path plan. Befo...

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Main Author: Zhang, Tianci
Other Authors: Cai Yiyu
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/67979
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-679792023-03-04T19:04:41Z Sensor-enabled crane lifting Zhang, Tianci Cai Yiyu School of Mechanical and Aerospace Engineering DRNTU::Engineering Crane lifting is an important but common task in industrial plants. In order to find a safe and cost effective path of lifting, a Master–Slave Parallel Genetic Algorithm and implement the algorithm on Graphics Processing Units using CUDA programming is developed to calculate a lifting path plan. Before this algorithm is introduced to crane industry, a tower crane model should be established to test the integrity between software algorithm calculation and physical crane lifting. Furthermore, because of the complexity and volatility of construction sites, a sensor-based collision avoidance system tailored for tower crane is crucial for tower crane lifting. In this report, a 1:64 tower crane fully functional tower crane model based on Terex SK 415-20 is designed and erected. Master–Slave Parallel Genetic Algorithm is used to calculate the optimized lifting path which can be read by the tower crane model. After that, the crane moves accordingly in the 3 degree-of-freedom space and performs the lifting task. Meanwhile, the sensor-based collision avoidance system is activated and monitors potential collision hazard. Once obstacles are detected, the collision avoidance system is able to stop the tower crane and manual remote control is activated. At last, the tower crane model is tested and reviewed. Suggestions are given for future study on crane lifting and related study. Bachelor of Engineering (Mechanical Engineering) 2016-05-23T09:18:00Z 2016-05-23T09:18:00Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67979 en Nanyang Technological University 77 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Zhang, Tianci
Sensor-enabled crane lifting
description Crane lifting is an important but common task in industrial plants. In order to find a safe and cost effective path of lifting, a Master–Slave Parallel Genetic Algorithm and implement the algorithm on Graphics Processing Units using CUDA programming is developed to calculate a lifting path plan. Before this algorithm is introduced to crane industry, a tower crane model should be established to test the integrity between software algorithm calculation and physical crane lifting. Furthermore, because of the complexity and volatility of construction sites, a sensor-based collision avoidance system tailored for tower crane is crucial for tower crane lifting. In this report, a 1:64 tower crane fully functional tower crane model based on Terex SK 415-20 is designed and erected. Master–Slave Parallel Genetic Algorithm is used to calculate the optimized lifting path which can be read by the tower crane model. After that, the crane moves accordingly in the 3 degree-of-freedom space and performs the lifting task. Meanwhile, the sensor-based collision avoidance system is activated and monitors potential collision hazard. Once obstacles are detected, the collision avoidance system is able to stop the tower crane and manual remote control is activated. At last, the tower crane model is tested and reviewed. Suggestions are given for future study on crane lifting and related study.
author2 Cai Yiyu
author_facet Cai Yiyu
Zhang, Tianci
format Final Year Project
author Zhang, Tianci
author_sort Zhang, Tianci
title Sensor-enabled crane lifting
title_short Sensor-enabled crane lifting
title_full Sensor-enabled crane lifting
title_fullStr Sensor-enabled crane lifting
title_full_unstemmed Sensor-enabled crane lifting
title_sort sensor-enabled crane lifting
publishDate 2016
url http://hdl.handle.net/10356/67979
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