Concrete arc-shaped beam construction data intelligent management system based on big data

CN122264644APending Publication Date: 2026-06-23中建五局第三建设有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
中建五局第三建设有限公司
Filing Date
2026-03-23
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies lack a matching between data organization logic and physical construction objects and processes in the construction of concrete curved beams. This results in insufficient spatiotemporal accuracy of data analysis, a disconnect between material performance data and structural response data, and an inability to reveal the real-time dynamic interaction and feedback mechanism between materials and structures during construction, thus failing to effectively warn of potential risks.

Method used

A big data-based intelligent management system for the construction data of concrete curved beams is constructed, including modules for multi-dimensional sensor data acquisition, dynamic data containers, data quality verification, data separation, and bidirectional impact analysis. This system enables real-time classification, encapsulation, quality verification, and bidirectional impact link analysis of heterogeneous data, generating hierarchical closed-loop control strategies.

Benefits of technology

It achieves deep integration of data organization structure with physical construction objects, improves the targeting of data queries and the accuracy of status assessment, and can dynamically capture potential abnormal patterns and risks, promoting construction management from passive response to proactive prediction and control.

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Abstract

The application relates to the technical field of intelligent monitoring of building construction, and discloses a concrete arc-shaped beam construction data intelligent management system based on big data. The system captures construction original data through deployment of a multidimensional sensing network, carries out real-time classification and packaging by using dynamic data containers corresponding to the geometry and process of the arc-shaped beam, and forms a structured data packet with a time-space label. After quality verification, material behavior data and structure response data are separated. A bidirectional influence link between the two types of data is established and collaborative evolution analysis is carried out, then the propagation path of construction disturbance is simulated, the disturbance source is located, and a hierarchical closed-loop control strategy is generated. The application realizes deep coupling of construction data and the physical construction process, and analyzes the interaction mechanism of the material and structure states, thereby improving the precision management and active intervention ability of the arc-shaped beam construction process.
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