Heat management method based on green data center

Abstract

The invention discloses a heat management method based on a green data center. The heat management method comprises a serial server and a network converter, wherein the network converter is connected with the serial server; the network converter is connected with a data receiver; the data receiver is connected with a data filter; the data filter is connected with a data processor; the data processor is connected with a visual tool; the serial server is connected with an environment detector and a resource detector; the environment detector is connected with a temperature sensor, a humidity sensor and a flowmeter; the resource monitor is connected with a server; the server is connected with a refrigerating regulator and a resource distributor; an evaluation system is mounted inside the server; and the data processor, the data filter and the data filter are connected with an information storage. The heat management method based on the green data center is helpful to know a utilization condition of power consumption in the data center, a main factor affecting the energy consumption is determined, and the effective utilization rate of the energy of the data center is improved.

Description

technical field [0001] The invention relates to a heat management method, in particular to a heat management method based on a green data center, and belongs to the technical field of application of energy saving and emission reduction methods. Background technique [0002] With the continuous development of the Internet, various types of data are growing explosively. As an effective means of integrating and processing diversified data resources and business systems, data centers have been used by almost all large and medium-sized organizations, and support search, cloud computing and social networking and other Internet services. However, with the widespread deployment of large-scale data centers around the world, problems such as high energy consumption, high costs, and high pollution have become increasingly prominent. The scale of the data center is huge. In order to ensure the normal operation of the equipment, it needs to consume a lot of electric energy. The energy s...

AI Technical Summary

Problems solved by technology

However, with the widespread deployment of large-scale data centers around the world, problems such as high energy consumption, high costs, and high pollution have become increasingly prominent

The scale of the data center is huge. In order to ensure the normal operation of the equipment, it needs to consume a lot of electric energy. The energy shortage is the main problem facing the world at present, and it is also one of the important factors restricting the overall development of my country's economy and society. The development of low energy consumption technology and industry has It has become one of the effective ways for the sustainable economic and social development of countries around the world. The current heat management methods of data centers have many shortcomings. Real-time monitoring of various data in data centers is the key to intelligent cooling, heat management, load migration, etc. Prerequisites, there are a large number of network devices and distributed computing nodes in modern data centers, which have the characteristics of low coupling, poor reliability, and often need to be expanded or upgraded, which makes the design and implementation of data center monitoring systems face certain challenges, and if the server If the working temperature is higher than the safe working temperature for a long time, the average failure probability of the server will be higher, which will accelerate the aging of components

On the other hand, the cooling system is designed according to the thermal state of the highest workload of the processor, and in most cases the processor is not in a high-load state, which means that the design cost of the cooling system is increased in disguise, and the data Centers are often complex in structure, expensive to build, and require high service reliability. Therefore, a heat management method based on a green data center is proposed to address the above problems

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