Artificial intelligence computing power center construction management method and system

By reconstructing the mesh of the BIM model and merging and storing similar components, combined with neural network and particle swarm optimization algorithms, the construction plan is optimized, which solves the construction difficulties and instability problems caused by the complexity of the BIM model in sudden situations, and achieves improvements in construction efficiency and stability.

CN120805231AActive Publication Date: 2025-10-17BEIJING KUANGJIAN CONSTR GRP CO LTD
7 Cites 0 Cited by

Patent Information

Application Number
CN202510739502.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-10-17
Estimated Expiration
2045-06-04

AI Technical Summary

Technical Problem

The existing BIM model is huge in size and complex in data during the construction process, making it difficult to formulate detailed construction plans. The traditional construction management model fails to effectively respond to emergencies, resulting in waste of resources and cost overruns.

Method used

By re-meshing the BIM model and merging and storing similar components, combined with artificial neural networks and particle swarm optimization algorithms, construction plans can be optimized to reduce total time and costs and improve plan stability.

Benefits of technology

It improves construction preparation efficiency, accurately predicts task completion time and cost, enhances the stability of construction plans, avoids resource waste, and ensures projects are completed on time.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides an artificial intelligence computing power center construction management method and system, and relates to the technical field of data processing, and the method comprises the steps: constructing an original BIM model of an artificial intelligence computing power center; performing grid reconstruction on each component in the original BIM model; performing similarity mapping on each component after the grid reconstruction, and performing merging storage on similar components; performing task decomposition on artificial intelligence computing power center construction according to the combined and stored BIM model; carrying out collaborative allocation on the decomposed tasks to generate a construction plan; performing construction process simulation through an artificial neural network, and predicting completion time, completion cost and importance of each task in the construction plan; the construction plan is optimized by taking reduction of the total construction time and the total construction cost and improvement of the stability of the construction plan as targets; and constructing an artificial intelligence computing power center according to the optimized construction plan.
Need to check novelty before this filing date? Find Prior Art