Smart human settlement environment airflow organization optimization method

Abstract

The invention discloses a smart human settlement environment airflow organization optimization method. Rapid and global optimization of human settlement environment airflow organization is realized through introduction of artificial intelligence. The method comprises the following steps: firstly, quickly organizing and concluding indoor geometric data and ventilation parameters of a building and corresponding flow field information data, and abstracting hidden association behind the data in a machine learning manner; secondly, customizing a building environment performance simulation tool based on machine learning, and applying the building environment performance simulation tool to design of a ventilation scheme and a building indoor structure; the technical scheme provided by the invention has the advantages that the artificial intelligence algorithm based on machine learning is introduced, so that the simulation calculation efficiency of human settlement environment airflow organization can be greatly improved, and the time required for airflow organization optimization is reduced.

Description

technical field [0001] The invention belongs to the field of airflow organization optimization in human settlements, and relates to an artificial intelligence-assisted intelligent airflow organization optimization method for human settlements. Background technique [0002] In addition to bringing people a comfortable indoor environment, the air-conditioning system also plays a role in ventilation and decontamination, creating a relatively healthy space for people's work and living. Facing the overall requirements of building energy conservation, people continue to improve the airtightness of buildings in order to prevent building cooling and heating loads brought about by air infiltration, thereby reducing the exchange of indoor and outdoor air, resulting in continuous increase in the concentration of indoor carbon dioxide and other airborne pollutants. High, leading to a decline in indoor air quality, such an environment often leads to discomfort and illness among occupants...

AI Technical Summary

Problems solved by technology

At present, the main method for optimizing indoor airflow is to use computational fluid dynamics (CFD) software to conduct ergodic simulations of indoor airflow with different ventilation schemes. For each ventilation scheme or fine-tuning of ventilation parameters, the computer needs to repeat the simulation. Iterative process, time consuming and laborious for architectural designers

At the same time, since the simulation process requires a lot of computing resources, the optimization of airflow organization can only select the better one among a limited number of ventilation schemes, and this scheme is likely to be only a local optimization under specific conditions, while the global optimization of airflow organization difficult to realize

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