Chinese Research Academy of Environmental Sciences

Shenzhen Qianhai Qiming Technology Co., Ltd.

Xuezhi Dai

Jian Gao

Yang Li

Jun Xu

Yang Yu

Shijie Liu

Wei Tang

Miaomiao Cheng

Zhongzhi Zhang

Dazhi Wu

Yunlang Wang

Xiaohui Du

The present disclosure provides an inversion method for determining a pollution source list based on artificial intelligence and big data, an inversion system for determining the pollution source list based on artificial intelligence and big data, and applications thereof, which provides basic data support for government sectors to formulate relevant environmental protection measures. The specific technical solution employed in the present disclosure is as follows: finding out an emission source that makes the highest contribution to the pollutant concentration of any cell with an advanced 3D CNN artificial intelligence algorithm based on artificial intelligence and big data, establishing a model of the relationship between pollutant concentration and emission, and finding out the relationship between pollutant concentration and emission with machine learning technology, i.e., estimating an emission from a given pollutant concentration, and estimating a pollutant concentration from a given emission.

Emission inversion simulator-based artificial intelligence system using deep learning technology

Growing community of inventors

Beijing, China

Xuezhi Dai