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Method for detecting power machine room faults through big data

A big data and computer room technology, applied in still image data retrieval, digital data information retrieval, electronic digital data processing, etc., can solve problems such as inability to accurately judge the status of the computer room, failure to find problems in time, low maintenance efficiency, etc., to achieve The effect of fast comparison, timely discovery of problems, and comprehensive information

Inactive Publication Date: 2019-09-27
黑龙江电力调度实业有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problems that the existing abnormality monitoring method of the computer room is prone to omissions, problems cannot be found in time, and the state of the computer room cannot be accurately judged, resulting in low maintenance efficiency. Now, a method for detecting faults in the power computer room using big data is provided.

Method used

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  • Method for detecting power machine room faults through big data

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specific Embodiment approach 1

[0031] Specific implementation mode one: refer to figure 1 Describe this embodiment in detail, the method for using big data to detect a fault in an electric machine room described in this embodiment includes the following steps:

[0032] Step 1: Collect pictures in various abnormal states in the location to be judged in the computer room in the large network database, extract the features of each picture, and use the features corresponding to the same abnormal type state as a set of abnormal states to obtain n types of abnormal states collection of abnormal states,

[0033] Collect pictures in the normal state of the position to be judged in the computer room in the large network database, collect pictures in the normal state of the position to be judged in the computer room to be judged, extract the picture features in each normal state, and use it as a normal state set,

[0034] A characteristic database is established by using n abnormal state sets and normal state sets. ...

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Abstract

The invention discloses a method for detecting power machine room faults through big data and relates to the technical field of machine room detection. The invention aims to solve the problems of high possibility of omission, incapability of finding problems in time and low maintenance efficiency caused by incapability of accurately judging the state of the machine room in the conventional machine room abnormity monitoring method. According to the method for detecting the faults of the electric power machine room through the big data, the abnormal state pictures of the machine room are collected through the big data and serve as comparison references, information is more comprehensive, and the comparison result is more reliable; a plurality of same comparison sets are copied to be synchronously compared with the state set, so that the comparison speed is higher, the current information can be obtained in time, and the efficiency is higher; due to the fact that the states are classified firstly, the categories of the problems can be directly locked after the similarity is compared. The whole set of scheme can monitor the state in the machine room in real time, can find problems more timely, and is suitable for monitoring all the machine rooms.

Description

technical field [0001] The invention belongs to the technical field of machine room detection. Background technique [0002] Power dispatching is an effective management method adopted to ensure the safe and stable operation of the power grid, reliable external power supply, and orderly progress of various power production tasks. The specific work content of power dispatching is based on the data information fed back by various information collection equipment, or the information provided by monitoring personnel, combined with the actual operating parameters of the power grid, such as voltage, current, frequency, load, etc., to comprehensively consider the development of various production tasks , judge the safety and economic operation status of the power grid, issue operation instructions through telephone or automatic system, and direct on-site operators or automatic control systems to make adjustments, such as adjusting generator output, adjusting load distribution, swit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/51G06F16/583G06K9/00G06K9/62
CPCG06F16/51G06F16/583G06V20/52G06F18/22
Inventor 孙绍辉曹勇齐枫孙绍光宫本超
Owner 黑龙江电力调度实业有限公司
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