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Cabinet equipment detection method

A technology for equipment detection and cabinets, which is applied in the field of communication, can solve problems such as the limitations of cabinet equipment detection, and achieve the effects of fast recognition, high accuracy, fast and accurate detection and positioning

Active Publication Date: 2020-08-28
CHINA INFOMRAITON CONSULTING & DESIGNING INST CO LTD
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AI Technical Summary

Problems solved by technology

[0004] The invention provides a detection method for cabinet equipment to solve the problem that the existing target detection and positioning methods have limitations when they are applied to the detection of cabinet equipment

Method used

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  • Cabinet equipment detection method
  • Cabinet equipment detection method
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Embodiment Construction

[0040] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] Such as figure 1 As shown, a detection method for cabinet equipment described in this embodiment includes a model training phase and a detection phase;

[0042] In the model training stage, by implementing the cabinet information building module, the equipment information building module and the cabinet equipment detection model training module, the structured cabinet information and the structured equipment information are output, and the cabinet equipment detection model trainer based on deep learning is established;

[0043] In the detection stage, by implementing the cabinet information module, the equipment information module and the cabinet equipment detection model reasoning module, a cabinet equipment detection reas...

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Abstract

The invention discloses a cabinet equipment detection method. The method comprises a model training stage and a detection stage. In the model training stage, by realizing a cabinet information construction module, an equipment information construction module and a cabinet equipment detection model training module, structured cabinet information and structured equipment information are output, anda cabinet equipment detection model trainer based on deep learning is established; in the detection stage, a cabinet equipment detection inference device based on deep learning is established by realizing a cabinet information module, an equipment information module and a cabinet equipment detection model inference module; and a cabinet equipment detection result is output through the cabinet equipment detection inference device, the cabinet equipment detection result comprises a cabinet equipment position and equipment identification. Compared with the prior art, the method is high in detection accuracy, high in recognition speed and high in applicability, and the model can be dynamically iterated and updated.

Description

technical field [0001] The invention relates to the communication field, in particular to a detection method for cabinet equipment. Background technique [0002] With the development of technology and market demand in the communication field, the demand for computer room construction is also increasing. At present, most equipment rooms use cabinets as the storage medium for equipment. After the cabinets are designed according to the configuration agreed by the industry, and the equipment is also configured according to the industry agreement, the equipment can be placed in the slot of the cabinet. The scale of the current mainstream computer room generally includes hundreds of cabinets and thousands of devices. There may be changes in the cabinet equipment due to maintenance and addition of equipment. The information management of traditional cabinet equipment mainly depends on the on-site survey of the computer room. However, the traditional . Deep learning has been devel...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/217G06F18/214
Inventor 祁昊颖钟橙田杰王太峰张燕张诚陈如旭谢美德李伟陈贤栋于宗洁司文博
Owner CHINA INFOMRAITON CONSULTING & DESIGNING INST CO LTD
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