Design of Regional Carbon Emission Monitoring Platform Based on Cloud Edge Collaboration

Most conventional regional carbon emission monitoring platforms use the NB-IoT principle to upload monitoring data, which is slow, affecting the monitoring efficiency of the monitoring platform, and the accuracy of carbon emissions calculation results is low, leading to a large deviation between the platform monitoring results and the actual carbon emissions. Based on this, a new regional carbon emission monitoring platform is proposed by introducing cloud edge collaboration. On the basis of the completion of the hardware design of the platform, a comprehensive design of the platform software is made. Firstly, based on the sampling control logic, the regional carbon emissions are sampled, monitored and pretreated. Secondly, the emission factor method is used to calculate the regional carbon emissions based on the fuel end. On this basis, the cloud edge collaboration method is used to upload carbon emission monitoring data to improve the efficiency of platform monitoring. The platform test results show that the new platform can significantly improve the accuracy of monitoring results, the carbon emissions monitoring value is closer to the actual value, the deviation of monitoring results is small, and more accurate regional carbon emissions data can be monitored in real time.