Cabinet internal space detection method, device and system

Abstract

The embodiment of the invention provides a cabinet internal space detection method, device and system, which can be used in the technical field of artificial intelligence, and the method comprises the steps: determining the type and number of space identification members in a target cabinet image corresponding to a current target cabinet based on a preset image recognition mode, arranging all the space identification pieces on the outer wall of the target cabinet so that all the space identification pieces on the target cabinet can be contained in the corresponding target cabinet images, wherein the space identification pieces of different types are used for representing different space sizes occupied by all the electronic devices in the target cabinet respectively; and determining the current remaining available space of the target cabinet according to the preset internal complete space of the target cabinet and the type and number of the space identification members in the target cabinet image. According to the invention, the automation degree, efficiency and accuracy of obtaining the occupied space of each electronic device in the target cabinet can be effectively improved, and the number and cost of hardware deployment in the process of detecting the internal space of the cabinet can be effectively reduced.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to the technical field of artificial intelligence, and in particular to a method, device and system for detecting the inner space of a cabinet. Background technique [0002] At present, the data center carries a large number of IT equipment to support the operation of the system, such as servers, open storage and network equipment. Combining the characteristics of the cloud environment and distributed architecture, most of the IT equipment is mainly rack-mounted equipment, deployed in such as In cabinets such as dedicated 19-inch IT cabinets. Today, with the rapid development of IT technology, the IT equipment in the data center shows an explosive growth trend, which brings unprecedented challenges to the management of various resources in the data center. Rack space resource management is one of the main tasks of data center management. Operation and maintenance ...

AI Technical Summary

Problems solved by technology

[0003] At present, data center operation and maintenance personnel mostly record cabinet space resource data manually, and then manually match and calculate suitable deployment conditions based on data such as electrical power and air conditioning cooling capacity. This method has exposed the shortcomings of poor timeliness and accuracy. It also greatly wastes the cost of precious human resources.

In order to replace the manual detection method, the existing cabinet space detection method is mostly realized by using RFID technology or infrared technology. It is necessary to deploy detection devices and gateways in the cabinet, and obtain device location information through wired or wireless methods, so as to calculate The used and remaining space in the IT cabinet, but this type of method requires the deployment of more hardware, and if the data center is large, it will generate a lot of cost

[0004] That is to say, no matter which of the above-mentioned rack space detection methods can not meet the detection requirements of high efficiency, accuracy, automatic, less hardware deployment and low cost of rack space detection at the same time

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