Design of big data sharing platform with double carbon background based on machine learning

Due to the poor response performance and data security performance of the current data sharing platform, the design of industrial Internet big data sharing platform based on machine learning under the double carbon background was proposed. A Service Oriented Architecture (SOA) model is adopted to build the platform, and a data integration center is established in the system software to realize the design of the industrial Internet big data sharing platform. Experiments show that when the amount of shared data is 700 GB, the platform response time is only 0.41s. When the running time is 70h, the platform packet loss rate does not exceed 0.5%. Under many experiments, the maximum intrusion rate of the designed platform is less than 1%, which improves the security of sharing. Therefore, the design platform data sharing service has a good industrial Internet big data sharing effect.