基于数字孪生技术的元宇宙空气污染物浓度推断模型

doi:10.11959/j.issn.2096-0271.2023005

Abstract

Abstract:

Air pollution is closely related to people's health and economic and social development.However, monitoring sites are sparsely distributed and cannot provide fine-grained air pollutant concentrations.In addition, the existing air pollutant concentration inference methods lack the ability to process relevant data in real time, so they have a hysteresis.To solve the above problems, a metaverse air pollutant concentration inference model based on digital twin technology was proposed.The model maped the real data into the metaverse space, and built a data warehouse to achieve real-time accurate inference of air pollutant concentrations through the construction of an air pollutant feature library.The experimental results show that the model can improve the accuracy and validity of air pollutant concentration inference.

Key words: air pollution, digital twin, metaverse

CLC Number:

TP399

Yifei PENG, Zhen YUAN, Xulong ZHANG, Guilin JIANG, Yujiang LIU. Metaverse air pollutant concentration inference model based on digital twin technology[J]. Big Data Research, 2023, 9(1): 38-50.

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References 18

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