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论文类型：期刊论文

发表时间：2017-09-01

发表刊物：INFRARED PHYSICS & TECHNOLOGY

收录刊物：Scopus、SCIE、EI

卷号：85

页面范围：133-140

ISSN号：1350-4495

关键字：Datacenter; Thermal image; Image registration; Thermal feature

摘要：Thermal cameras provide fine-grained thermal information that enhances monitoring and enables automatic thermal management in large datacenters. Recent approaches employing mobile robots or thermal camera networks can already identify the physical locations of hot spots. Other distribution information used to optimize datacenter management can also be obtained automatically using pattern recognition technology. However, most of the features extracted from thermal images, such as shape and gradient, may be affected by changes in the position and direction of the thermal camera. This paper presents a method for extracting the thermal features of a hot spot or a server in a container datacenter. First, thermal and visual images are registered based on textural characteristics extracted from images acquired in datacenters. Then, the thermal distribution of each server is standardized. The features of a hot spot or server extracted from the standard distribution can reduce the impact of camera position and direction. The results of experiments show that image registration is efficient for aligning the corresponding visual and thermal images in the datacenter, and the standardization procedure reduces the impacts of camera position and direction on hot spot or server features. (C) 2017 Elsevier B.V. All rights reserved.