Abstract: Based on the intelligent big data monitoring platform and deep learning platform, this paper constructs a set of intelligent cooling technology products of air conditioning water system in data center. In terms of data collection and processing, model deep learning, and security boundary protection, the air-conditioning water system realizes intelligent adjustment and solves the problems of safety and universality. The energy consumption of data center infrastructure can be reduced by 25%, the average annual PUE can be reduced from 1. 17 to 1. 13, and the electricity cost of single module computer room can be saved by more than 1 million yuan. Finally, this paper analyzes and explains from three aspects: data processing, model strategy and landing practice.

Key words: date center, intelligent heat dissipation, energy efficiency