Simulation method for external wall thermal insulation performance based on digital twinning

By combining digital twin technology with bionics and multiphysics analysis, the structure of the external wall insulation layer is dynamically optimized, solving the problem of insufficient environmental response in external wall insulation simulation. This achieves a global optimal balance between material usage and performance, suppresses thermal bridging effects, and improves the building's thermal efficiency and service life.

CN122365670APending Publication Date: 2026-07-10QUZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QUZHOU UNIV
Filing Date
2026-04-17
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing external wall insulation simulation technology is unable to respond in real time to the drastic fluctuations of meteorological parameters in real environments, resulting in a mismatch between the insulation layer configuration and the dynamic physical field. It is impossible to achieve global optimization of insulation performance and material cost, especially at critical nodes where thermal bridging effects frequently occur, where there is a lack of precise reinforcement methods.

Method used

A digital twin-based simulation method for external wall insulation performance is adopted. A high-fidelity digital twin is constructed by fusing 3D laser scanning with building information model, embedding a biomimetic morphology generation module, and combining a multiphysics coupling analysis engine to dynamically evolve the insulation layer structure, realize local reconstruction and closed-loop iterative optimization, and adaptively respond to environmental changes.

Benefits of technology

It enables the thermal insulation structure to perceive the environment and adapt to the structure in a digital twin environment, breaking through the limitations of traditional static simulation methods, avoiding material waste, improving thermal efficiency, enhancing thermal insulation performance and moisture resistance, and extending the building's lifespan.

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Abstract

This invention belongs to the field of building energy conservation and digital twin simulation technology, specifically disclosing a method for simulating the thermal insulation performance of external walls based on digital twins. The method includes: constructing a high-fidelity digital twin integrating 3D laser scanning and building information modeling; embedding a biomimetic morphology generation module to dynamically evolve the initial topological configuration of the insulation layer based on environmental parameters; jointly simulating the thermal, humidity, and airflow fields through a multiphysics coupling analysis engine to obtain a complete heat flux density distribution; driving local structural reconstruction based on heat flux gradients to generate high-density entities in areas of high heat flux density and form porous lightweight structures in sparse areas; and introducing a closed-loop iterative mechanism to achieve dynamic adaptive optimization of the insulation structure by combining real-time meteorological data. Through the above solutions, this invention improves thermal insulation performance and material utilization efficiency, suppresses thermal bridging effects, and balances moisture-proofing and heat insulation requirements, providing a high-precision intelligent simulation tool for building energy conservation design.
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