Multi-node Intelligent of Power Supply Chain under Green and Low-Carbon Goals with AI Simulation

Multi-node intelligent of power material supply chain under green and low-carbon goals with AI simulation is studied. This study combines the supply chain operation performance evaluation with the enterprise process monitoring system to fully mobilize the physical support role of the data center is considered and then form a comprehensive operation performance evaluation system. The multi-node intelligent of power material supply chain is implemented with the KNN and the data mining algorithms. The models are designed based on the multi-core cluster systems with different node computing, communication and storage capabilities, the Kubernetes is selected as the model, and VMI is selected as the tool to finish the work of bad data identification. Through the verification on the AI simulation, the performance is validated. It can be seen from the experiment that the model error is between [0], [6], which belongs to the low or medium levels which are acceptable.