Research on Automatic Creation of Railway Engineering Material Requirement Planning Based on Construction Plan and Real Dynamic data

With the continuous expansion of railway engineering projects, the challenges faced by material management are becoming increasingly severe. The traditional method of preparing material demand plans is often inefficient and difficult to cope with complex and dynamic construction environments. This article proposes an automatic material demand generation technology based on construction organization plan and real-time dynamic data to address this issue. This method integrates construction plans from BIM systems with real-time dynamic data feedback from on-site IoT devices and digital twins, and combines optimization algorithms and dynamic adjustment mechanisms to achieve intelligent allocation of material requirements under complex engineering conditions. The research results indicate that this technology can effectively improve the accuracy and efficiency of material management, reduce the risk of material backlog and shortage.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3760023.3760093
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
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article

Research on Automatic Creation of Railway Engineering Material Requirement Planning Based on Construction Plan and Real Dynamic data

Bacterial Genetics and Biotechnology
article

Research on Automatic Creation of Railway Engineering Material Requirement Planning Based on Construction Plan and Real Dynamic data

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Abstract

With the continuous expansion of railway engineering projects, the challenges faced by material management are becoming increasingly severe. The traditional method of preparing material demand plans is often inefficient and difficult to cope with complex and dynamic construction environments. This article proposes an automatic material demand generation technology based on construction organization plan and real-time dynamic data to address this issue. This method integrates construction plans from BIM systems with real-time dynamic data feedback from on-site IoT devices and digital twins, and combines optimization algorithms and dynamic adjustment mechanisms to achieve intelligent allocation of material requirements under complex engineering conditions. The research results indicate that this technology can effectively improve the accuracy and efficiency of material management, reduce the risk of material backlog and shortage.

China Academy of Railway Sciences (CN)
Sustainable cities and communities
Openalex Percentile: Top 37%
Bacterial Genetics and Biotechnology
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Research on Automatic Creation of Railway Engineering Material Requirement Planning Based on Construction Plan and Real Dynamic data · (2025) | TGRS Research Map | TGRS