An engineered intelligent construction system

CN122155143APending Publication Date: 2026-06-05CCCC SECOND HARBOR ENGINEERING CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CCCC SECOND HARBOR ENGINEERING CO LTD
Filing Date
2026-01-09
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

The lack of data collection standards in civil engineering construction leads to the loss of a large amount of historical experience, making it impossible to achieve efficient and economical construction solutions, and lacking visible and predictable construction control.

Method used

Construct an intelligent construction system for engineering projects, including an engineering database subsystem, a scheme design subsystem, a virtual construction subsystem, and a digital twin subsystem. Through multi-objective optimization algorithms and artificial intelligence technology, it can realize the intelligent generation and real-time adjustment of construction schemes.

Benefits of technology

It improved the level of project management, increased the flexibility of resource allocation, made construction quality and safety controllable and adjustable, and avoided safety and quality risks during the construction process.

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Abstract

The application discloses an engineering intelligent construction system, comprising an engineering database subsystem, a scheme design subsystem, a virtual construction subsystem and a digital twin subsystem; the engineering database subsystem is used for storing data related to engineering construction; the scheme design subsystem is configured in the early stage of engineering based on the data in the engineering database subsystem, forms intelligent optimization of key parameters of a construction scheme and text generation of the construction scheme; the virtual construction subsystem is configured in the preparation stage and the process stage of construction, adjusts project resource allocation based on simulation analysis results; the digital twin subsystem is used for the process stage of construction, realizes digital control and early warning of engineering equipment, collects on-site equipment information and video information, and feeds back construction process progress, safety and quality data to the virtual construction subsystem. The application intelligently generates optimal decisions through multi-target optimization auxiliary decision algorithms in different scenarios before and during the construction.
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