Hoisting digital twin system based on Beidou sensing and intelligent fusion and management method

By integrating BeiDou sensing and intelligence into a hoisting digital twin system, the system utilizes the CEEMDAN-sPCA algorithm, adaptive Kalman filtering, and LSTM model for multi-error suppression. Combined with the BIM model, it achieves millimeter-level positioning accuracy and closed-loop control for hoisting large bridge prefabricated components. This solves the positioning accuracy and process coordination problems existing in the current technology, and improves hoisting efficiency and safety.

CN121859042AActive Publication Date: 2026-04-14CHINA RAILWAY CONSTR BRIDGE ENG BUREAU GRP CO LTD
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Patent Information

Application Number
CN202610323891.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-17
Publication Date
2026-04-14
Estimated Expiration
2046-03-17

AI Technical Summary

Technical Problem

Existing technologies for hoisting large bridge precast components suffer from problems such as insufficient positioning and sensing layer capabilities, poor signal stability, inefficient handling of multipath interference errors, weak practicality of twin control platforms, and poor process coordination. As a result, positioning accuracy cannot meet millimeter-level requirements, and there is a lack of closed-loop decision-making capabilities.

Method used

A hoisting digital twin system based on BeiDou sensing and intelligent fusion is adopted, including BeiDou intelligent positioning equipment, hierarchical multi-error fusion suppression unit and modular hoisting digital twin collaborative management and control platform. The system uses CEEMDAN-sPCA algorithm, adaptive Kalman filter and LSTM model to decompose multipath error, fuse data and perform dynamic error compensation, and combines BIM model for real-time display and closed-loop adjustment.

Benefits of technology

The platform has achieved a stable improvement in hoisting positioning accuracy to the millimeter level, enhanced the reliability of data transmission in harsh environments, and enabled closed-loop management from visualization to decision-making. This has improved hoisting efficiency and safety, reduced rework rates, and created a digital archive covering the entire lifecycle.

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Abstract

The invention discloses a hoisting digital twin system based on Beidou sensing and intelligent fusion and a management method, and relates to the technical field of intelligent construction, the system comprises a Beidou intelligent positioning device used for collecting Beidou positioning data and IMU attitude data of a hoisting member in real time; the layered multi-error fusion suppression unit is used for receiving the data preprocessed by the Beidou intelligent positioning equipment, and sequentially performing multi-path error decomposition, data fusion and dynamic error compensation to output corrected Beidou positioning and IMU attitude data; and the modularized hoisting digital twinborn collaborative management and control platform is used for accessing and fusing the corrected Beidou positioning and IMU attitude data, environment data and video data, and driving a BIM model to perform synchronous display. The method solves the problems of low positioning precision and poor anti-interference capability of traditional hoisting, realizes safe management and control of the process and improvement of the operation efficiency, and is suitable for hoisting operation of large bridge prefabricated parts in complex environments such as sea crossing and mountainous areas.
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