An assembled integrated wallboard automatic pouring control method and system
By constructing a "reinforcing bar-resistance field" mapping model and a particle swarm optimization algorithm, the problem of simulating and controlling the flow behavior of concrete in densely reinforced environments was solved, achieving efficient, uniform, and high-quality production of wall panels and reducing scrap rate and cost.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHANGDA STEEL STRUCTURE CO LTD
- Filing Date
- 2026-05-26
- Publication Date
- 2026-06-26
AI Technical Summary
Existing technologies struggle to accurately simulate and dynamically coordinate the confluence of multiple concrete flows in complex environments with dense reinforcement, leading to localized turbulence, velocity disturbances, and uneven filling during concrete pouring. This affects the mechanical properties and durability of the wall panels and lacks a closed-loop feedback mechanism.
By constructing a "reinforcement-resistance field" mapping model, using particle swarm optimization algorithm to dynamically coordinate the material flow convergence sequence, and introducing structural integrity simulation analysis, real-time optimization and adaptive control of the flow path are achieved, generating the final control configuration that minimizes path resistance.
It significantly improves the uniformity and density of wall panel casting, reduces scrap rate and subsequent repair costs, realizes closed-loop feedback from process parameters to structural quality, and improves the manufacturing quality and consistency of prefabricated wall panels.
Smart Images

Figure CN122284516A_ABST