混凝土元智能体的信息融合与一体化设计研究OA

While the concrete field is advancing toward intelligent development,its multi-scale,multi-source,and heterogeneous characteristics result in isolated functionalities and fragmented decision-making chains among relevant intelligent agents,making it difficult to achieve collaborative optimization from microscopic mechanisms to macroscopic engineering.To address these challenges,this paper proposes the concept of a concrete meta-agent,aiming to integrate information across the entire concrete domain chain and construct an integrated design framework for top-level intelligent collaboration.By utilizing high-dimensional vector space mapping technology to establish a unified representation space for cross-scale data,and employing a large lan-guage model as the central hub for interaction and scheduling,the framework enables the dynamic orchestra-tion and joint reasoning of multiple agents.The system possesses the ability of autonomous reinforcement learn-ing.Analysis of application scenarios demonstrates that the concrete meta-agent achieved an R2 of 0.946 2 in compressive strength prediction and accomplished system optimization for mix proportions—balancing mul-tiple objectives of compressive strength,cost,and carbon emissions—within 0.9 s.This study provides an in-novative theoretical pathway and methodological support for a concrete intelligent ecosystem that links the full chain of material design,preparation process,and service performance.