A carbon dioxide data detection method, device, equipment and medium

CN116819001BActive Publication Date: 2026-07-14HUADIAN ELECTRIC POWER SCI INST CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUADIAN ELECTRIC POWER SCI INST CO LTD
Filing Date
2023-06-26
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

In existing technologies, carbon emission monitoring data fluctuate due to factors such as equipment zero-point drift, device vibration, turbulent flow interference, and media interference, resulting in anomalies and failing to accurately reflect the actual emission situation. In particular, invalid data is generated under abnormal conditions.

Method used

By acquiring historical flue gas carbon dioxide data, we establish linear relationship formulas between hourly average load rate and flow rate, and between load rate and carbon emission rate. We then calculate theoretical flue gas flow rate and carbon emission rate, and perform data anomaly detection, including the detection of flue gas flow rate, carbon emission rate, and carbon dioxide concentration.

Benefits of technology

It enables real-time monitoring of flue gas carbon dioxide data, improves detection accuracy, reduces manual workload, enhances the systematicness and coordination of carbon emission monitoring, and provides data support for carbon trading decisions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a carbon dioxide data detection method and device, equipment and medium, and relates to the field of carbon emission measurement. The method comprises the following steps: establishing a first linear relationship formula and a second linear relationship formula for representing the linear relationship between the hourly average load rate and the hourly average flue gas flow, and the hourly average load rate and the hourly carbon emission rate, respectively, based on historical flue gas carbon dioxide data; calculating the theoretical flue gas flow and the theoretical carbon emission rate based on the actual flue gas carbon dioxide data, the first linear relationship formula and the second linear relationship formula; and performing flue gas flow data anomaly detection, carbon emission rate anomaly detection and carbon dioxide concentration detection on the actual flue gas carbon dioxide data based on the theoretical flue gas flow and the theoretical carbon emission rate. The application can realize real-time monitoring of flue gas carbon dioxide data, and realize anomaly detection of flue gas flow data, carbon emission rate and carbon dioxide concentration.
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