Research on automatic positioning of hoisting crane for heavy parts at sea based on BIM and RFID technology

Jie Liu

doi:10.1117/12.3025847

28 February 2024 Research on automatic positioning of hoisting crane for heavy parts at sea based on BIM and RFID technology

Jie Liu

Author Affiliations +

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130713H (2024) https://doi.org/10.1117/12.3025847
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

Due to the constraints of crane positioning, its behavior accuracy is relatively low. Therefore, the research on automatic positioning of crane for offshore heavy parts based on BIM and RFID technology is proposed. This paper makes a comprehensive analysis of the positioning constraints of offshore heavy lifting cranes from three perspectives: environmental constraints, operational constraints and safety constraints, and determines the corresponding control elements. In the positioning process, BIM and RFID technology are introduced, and the actual running state data of the hoisting crane is collected with the help of RFID technology. Based on the analysis results of the positioning constraint control elements of the hoisting crane with heavy offshore parts, the identification tag of RFID technology is set up. BIM model is used to decompose the scope of construction area and hoisting tasks in the early stage of hoisting, which is coupled with the data acquisition results of RFID technology to realize the location of specific positions. In the test results, the positioning error of the offshore heavy lifting crane in the X direction is stable within 0.4m, and the positioning error of the offshore heavy lifting crane in the Y direction is stable within 0.3m, which has high accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Liu "Research on automatic positioning of hoisting crane for heavy parts at sea based on BIM and RFID technology", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130713H (28 February 2024); https://doi.org/10.1117/12.3025847

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Laser applications

Design

Error analysis

Ranging

Analytical research

Control systems

Signal processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years