Method and system for diagnosing memory fault based on TensorFlow image recognition
An image recognition and memory technology, applied in the direction of non-redundancy-based fault handling, response error generation, instruments, etc., can solve problems such as difficult fault diagnosis and high learning costs for maintenance personnel, and reduce work threshold and learning costs , The effect of convenient diagnosis and maintenance
Inactive Publication Date: 2018-11-20
ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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Problems solved by technology
The disadvantage of this existing memory fault diagnosis method is that maintenance personnel need to rely heavily on daily work experience. high learning cost
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[0032] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0033] figure 1 A method for diagnosing memory faults based on TensorFlow image recognition provided in the embodiment of this application, consisting of figure 1 As can be seen, the method of this embodiment includes the following steps:
[0034] S1. Shoot the current memory photo of the server through the App client;
[0035] S2, t...
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The embodiment of the invention discloses a method and a system for diagnosing a memory fault based on TensorFlow image recognition. The method comprises the steps: the current memory photo of the server is submitted to the Server side; TensorFlow processes the current memory photo into the uniform standard data; the Server compares the data of the current memory photog processed by TensorFlow with the stored memory data in the normal state; if data comparison is consistent, the memory state is normal; and If data comparison is not consistent, the memory state indicates the fault. According tothe method and system for diagnosing the memory fault, the memory state is judged by comparing the current state data of the memory with the normal state data of the server so that the maintainer does not depend too much on the daily working experience, diagnosis and maintenance of the memory fault can be facilitated and the working threshold and the learning cost of the maintainer can be reduced.
Description
technical field [0001] The invention relates to the field of computer software development, in particular to a method and system for diagnosing memory faults based on TensorFlow image recognition. Background technique [0002] With the development of information technology and the continuous improvement of informatization, the scale of the server room is increasing, and the number of devices in the room is also increasing, which makes the fault diagnosis of server memory more and more complicated, and the maintenance cost is also increasing. higher. [0003] In the prior art, staff members mainly rely on long-term experience accumulation for fault diagnosis of server memory. There is a memory working indicator light installed on the server. When the memory of the server fails, the state of the working light corresponding to the memory changes. Experienced staff will diagnose the fault of the server memory according to the change of the state of the light, and then take corr...
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Login to View More IPC IPC(8): G06F11/07G06Q10/00
CPCG06F11/0706G06F11/0766G06Q10/20
Inventor 张国磊
Owner ZHENGZHOU YUNHAI INFORMATION TECH CO LTD