A Mesoscale Carbon Emission Location and Verification Method and System Based on Carbon Dioxide LiDAR
By employing a mesoscale carbon emission location and verification method based on carbon dioxide lidar, and utilizing signal processing and neural network technologies to identify and track carbon sources, the problem of large calculation errors in carbon emissions in existing technologies has been solved, enabling accurate verification and management of carbon emissions.
CN116029883BActive Publication Date: 2026-05-26AEROSPACE INFORMATION RES INST CAS
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- AEROSPACE INFORMATION RES INST CAS
- Filing Date
- 2023-01-10
- Publication Date
- 2026-05-26
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Figure CN116029883B_ABST
Abstract
This application discloses a method and system for locating and verifying carbon emissions at the mesoscale level using a carbon dioxide lidar system. The method includes the following steps: obtaining CO2 concentration data within a preset mesoscale region using a CO2 lidar system; identifying carbon sources based on the CO2 concentration data; locating and tracking carbon sources based on the identification results; and verifying the carbon emissions of the carbon sources based on both the location and identification results. This application utilizes machine learning to train a neural network classification model to identify and classify carbon sources, track and locate them, accurately calculate the carbon emissions of each source, and verify their emissions. This enhances the management and supervision of carbon-emitting enterprises and improves the atmospheric environment.
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