The construction of an integrated cloud network digital intelligence platform for rail transit based on artificial intelligence.

ABSTRACT: This study presents the design and validation of a closed-loop control platform for rail transit construction. The platform integrates multi-source data, enables real-time prediction, and supports AI-driven scheduling, with strategy execution and feedback implemented via digital twins. A three-layer architecture is constructed, comprising edge sensing, cloud computing, and intelligent interaction. The system incorporates data fusion middleware, an AI decision engine, and a 3D digital twins module. The operational workflow follows the perception-fusion-prediction/optimization-execution/feedback loop: edge devices collect on-site status, cloud middleware integrates and serves the data, the AI engine performs prediction and scheduling optimization, and the digital twins layer validates strate

SUBMITTER: Wang K 

PROVIDER: S-EPMC12769527 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature