Fabricated building pre-assembly optimization method and system

CN122241810APending Publication Date: 2026-06-19XINJIANG ROAD & BRIDGE NANJIANG ENG CONSTR CO LTD
View PDF 1 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XINJIANG ROAD & BRIDGE NANJIANG ENG CONSTR CO LTD
Filing Date
2026-03-06
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing prefabrication optimization methods for prefabricated buildings cannot effectively detect dynamic deformation when dealing with complex on-site conditions, leading to conflicts between virtual matching and physical jamming. Furthermore, local corrections are prone to causing irreversible cumulative errors and tolerance deadlocks.

Method used

By introducing an isomorphic impedance-entropy mapping mechanism, contact damping is inverted through visual signals to achieve closed-loop inference of assembly state. Combined with Bayesian state update and signal-to-noise ratio monitoring, a dynamic execution control dataset is generated to optimize the assembly process.

Benefits of technology

It achieves highly sensitive capture of unsteady transient contacts, avoids the risk of physical jamming on site, enhances the geometric feasibility and accuracy convergence of the assembly process, and ensures error absorption and decision robustness of the global optimal path.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122241810A_ABST
    Figure CN122241810A_ABST
Patent Text Reader

Abstract

This invention provides a prefabrication optimization method and system for prefabricated buildings, relating to the field of computer-aided architectural design technology. The method is based on tolerance histograms and topological relationships, utilizing Monte Carlo tree search to construct global tolerance entropy flow distribution data. It employs an Euler visual enhancement algorithm to perform frequency domain analysis on multidimensional time-series signal flows, extracting micro-vibration modes to generate dynamic contact spectrum damping coefficients. A Bayesian state update is performed using an isomorphic impedance-entropy mapping model, inverting geometric deviations to induce post-acceptance convergence, generating path correction indication signals, and then resolving them into an execution control dataset containing differential compensation and sequence scheduling. Parallel signal-to-noise ratio monitoring and degradation protection logic based on Schmitt hysteresis comparison is introduced. This overcomes the physical-digital disconnect in static geometric matching, achieving a technological leap from passive collision prevention to active risk avoidance, and enhancing the robustness of assembly precision control.
Need to check novelty before this filing date? Find Prior Art