Design and optimization of green storage intelligent management system based on artificial intelligence

In order to meet the requirements of green energy saving, artificial intelligence has been gradually applied to intelligent storage management. This study mainly discusses the design of green storage intelligent management system, including energy consumption model, environmental monitoring system, work plan, work performance appraisal, etc. XGBoost, convolutional neural network, deep reinforcement learning and other high-precision algorithms are adopted to complete multisource big data intelligent mining and system collaborative control. It provides reference for the theory and practice of efficient design of green warehouse management system.