An Online Monitoring Method for Carbon Emissions in a Multi-energy Industrial Park

The conventional online monitoring method of carbon emissions in multi energy complementary industrial parks mainly uses MSHea-EnKF multi time scale Kalman filtering algorithm to filter the monitoring data, which is vulnerable to the impact of quantitative cycle changes, resulting in excessive deviation of carbon emissions monitoring cycle components. Therefore, an effective online monitoring method of carbon emissions in multi energy complementary industrial parks is proposed. That is to say, an optical sensor for online monitoring of carbon emissions in the multi energy complementary industrial park was designed, and an online monitoring center for carbon emissions in the multi energy complementary industrial park was generated, which became an online monitoring of carbon emissions. The experimental results show that the cycle component of the designed online carbon emission monitoring method is close to the actual carbon emission component, which proves that the designed online carbon emission monitoring method has good monitoring effect, reliability, and certain application value, and has made certain contributions to the development of sustainable production plans for industrial parks.