Computer room energy efficiency optimization technology based on data simulation and dynamic environment linkage

Abstract

The invention discloses a computer room energy efficiency optimization technology based on data simulation and dynamic environment linkage, and belongs to the field of computer room energy efficiency management. The computer room energy efficiency optimization technology based on data simulation and dynamic environment linkage is characterized in that the technology includes a data simulation link and a dynamic environment linkage link; the data center simulation technology takes an actual data center scene as a prototype, the CAD drawings of the computer rooms of a data center and data of the computer rooms are acquired, the data building, computer room building and equipment of the data center are simulated according to the actual condition by means of 3D modeling, and the scene is real and visual; and the dynamic environment linkage technology includes temperature and humidity dynamic environment linkage, UPS system dynamic environment linkage, computer room air conditioning linkage and cabinet linkage. According to the computer room energy efficiency optimization technology based on data simulation proposed by the invention, the simulated computer room temperature, air distribution and power loss are taken as analysis factors, and the main factors influencing the energy efficiency of computer rooms are considered comprehensively.

Description

technical field [0001] The invention relates to the field of energy consumption management of a computer room, in particular to a computer room energy efficiency optimization technology based on data simulation and dynamic ring linkage. Background technique [0002] As the electricity price and the energy consumption of IT equipment with high power density continue to rise, the energy and cost issues that data centers are now facing are getting more and more attention. From the analysis of energy structure, according to the ranking of energy consumption, there are the following four categories. The first category is equipment IT system, which accounts for about 50% of energy consumption; the second category is air conditioning system, with a comprehensive power consumption of 37%. ; The third category is the UPS power supply system, and the last category is the lighting system. [0003] In the most ideal state, the PUE value is 1, which means that the IT equipment in the ID...

AI Technical Summary

Problems solved by technology

[0006] At present, the industry is only in the data simulation of the computer room and the monitoring and management stage of the power environment of the computer room, and there is no mature energy efficiency optimization technology for the computer room based on data simulation and dynamic ring linkage