Emission inversion simulator-based artificial intelligence system using deep learning technology
US12292947B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Jul 22, 2024 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jul 22, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F17/11
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.