Internet data center temperature and humidity early warning method and device

Abstract

The invention provides an Internet data center temperature and humidity early warning method. The method comprises the following steps: temperature data and humidity data of multiple moments of each computer room of the Internet data center are acquired; a self-adaptive threshold at each moment is calculated according to the temperature data and the humidity data at the multiple moments; standard deviation of the self-adaptive thresholds at the same moment within a preset time period is calculated according to the self-adaptive threshold at each moment, and a confidence interval is calculated according to the standard deviation; and if the detected temperature data and the detected humidity data are in the confidence interval, the temperature data and the humidity data are judged to be normal, or otherwise, the temperature data and the humidity data are judged to be abnormal. The method can better monitor the Internet data center temperature and humidity of the computer room, the computer room operation environment can be more flexibly and precisely mastered, and the method is real-time, high-efficiency and easy to use. The invention also discloses an Internet data center temperature and humidity early warning device.

Description

technical field [0001] The invention relates to the field of Internet information technology, in particular to a temperature and humidity early warning method and device for an Internet data center. Background technique [0002] At present, the implementation scheme of the prior art: [0003] (1) Alarm method: At present, most of the IDC power environment monitoring adopts the threshold alarm method to alarm the data, that is, after the monitoring data reaches the threshold, it will alarm according to the predetermined alarm method. Both temperature and humidity are alarmed independently, ignoring the potential relationship between the two. [0004] (2) Threshold value setting: Because different cooling systems used in different IDCs or rooms will cause inconsistencies in the temperature and humidity between nodes, it is necessary to set multiple thresholds to adapt to the environment of different IDCs. The setting method is a tree structure setting, that is, default-compu...

AI Technical Summary

Problems solved by technology

[0006] Furthermore, the selection of the threshold is of great significance to the judgment of abnormality. If the threshold is set too small, it may be frequently exceeded, resulting in too much false information, that is, false alarms; if the threshold is set too small, it may never be detected. is exceeded, then important information will be missed, that is, the missing alarm

This detection method is relatively passive, and the operation and maintenance personnel cannot know the change trend of the temperature and humidity data in the computer room in time

And the thresholds are manually controlled by operation and maintenance personnel. With the increase of monitoring points and changes in the surrounding environment of monitoring points, the thresholds that need to be maintained will increase, and the possibility of false positives will also increase.

At the same time, most of the IDC temperature and humidity detection methods use fixed thresholds for judgment, which cannot accurately describe the abnormal behavior of temperature and humidity, thus affecting the detection accuracy

Images