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Journal of System Simulation

Abstract

Abstract: Due to the characteristics of large equipment, harsh working environment and time-varying shape of the material pile in bulk cargo terminal, there are some disadvantages such as low data accuracy and poor stability when building the storage yard model, which affects the unmanned and intelligent operation control. In this paper, we use two-dimensional laser radar combined with equipment mechanism motion to scan material pile point cloud data, present a digital twin modeling method for bulk storage yard, which includes static scene construction of storage yard and real-time modeling of material pile. Prefabricated models are used for the static scenes which do not change the surface shape during the loading and unloading operation of the material pile. For the pile with time-varying surface shape, the three-dimensional data structure and real-time generation strategy of the pile are designed. The hierarchical structure of the pile shape, section and space point is used to cache the data, and the nearest distance section is taken as the policy condition to realize real-time three-dimensional reconstruction of the pile, which meets the requirements of real-time changes of the twin model and fast decision support in the process of automatic operation. Finally, taking a bulk cargo terminal as an example, the digital twin modeling of the bulk cargo yard of the terminal is realized, and the consistency and real-time performance of the system are evaluated, verifying the feasibility of the method described in this paper.

First Page

2269

Last Page

2286

CLC

U653.921; TP391

Recommended Citation

Lu Houjun, Zhu Yifei, Rong Yanping, et al. Digital Twin Modeling Method for Bulk Cargo Stacks Based on 2D LiDAR[J]. Journal of System Simulation, 2025, 37(9): 2269-2286.

Corresponding Author

Zhu Yifei

DOI

10.16182/j.issn1004731x.joss.24-0461

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