CN110602435A - Image information monitoring method applied to power system - Google Patents

Image information monitoring method applied to power system Download PDF

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Publication number
CN110602435A
CN110602435A CN201810599964.0A CN201810599964A CN110602435A CN 110602435 A CN110602435 A CN 110602435A CN 201810599964 A CN201810599964 A CN 201810599964A CN 110602435 A CN110602435 A CN 110602435A
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CN
China
Prior art keywords
power system
monitoring
data
abnormal
image information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201810599964.0A
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Chinese (zh)
Inventor
陈杰
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Individual
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Individual
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Priority to CN201810599964.0A priority Critical patent/CN110602435A/en
Publication of CN110602435A publication Critical patent/CN110602435A/en
Withdrawn legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The invention discloses an image information monitoring method applied to an electric power system, which comprises the steps of firstly collecting video image data of the electric power system, secondly extracting monitoring data from the video image data, secondly judging whether the electric power system is abnormal or not according to the monitoring data, and finally uploading the monitoring data to a background monitoring center when the electric power system is abnormal. The invention is applied to the image information monitoring method of the electric power system, the monitoring method is applied to the monitoring terminal, collect the video image data of the electric power system; extracting monitoring data from the video image data; judging whether the power system is abnormal or not according to the monitoring data; and when the power system is abnormal, uploading the monitoring data to a background monitoring center. The monitoring method of the video image of the power system provided by the invention reduces the communication data volume, the communication cost and the maintenance cost of the background monitoring center.

Description

Image information monitoring method applied to power system
Technical Field
The invention relates to the technical field of power systems, in particular to an image information monitoring method applied to a power system.
Background
The safe and stable operation of the power system is related to the national civilization, and the importance is self-evident. In order to timely find faults or abnormalities of the power system or prevent and investigate equipment or areas with faults or abnormalities in the future, video image monitoring is widely applied to the power system.
The existing video image monitoring technology is to remotely upload video streams or images acquired by a monitoring terminal to a background monitoring center, then complete video image analysis operation based on deep learning at a background server, and finally feed back a processing result to background workers. In addition, with the deep layout of the smart power grid, more and more videos or image monitoring points are distributed in the power system, and if the distributed videos or image data are remotely uploaded to the background server for processing, the load of the power grid information communication network is increased due to the huge data transmission amount, a large amount of communication cost is generated, and the maintenance cost of the background server is greatly increased.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an image information monitoring method applied to an electric power system.
The invention is realized by the following technical scheme:
an image information monitoring method applied to a power system comprises the following steps:
step 1: collecting video image data of a power system;
step 2: extracting monitoring data from the video image data;
and step 3: judging whether the power system is abnormal or not according to the monitoring data;
and 4, step 4: and when the power system is abnormal, uploading the monitoring data to a background monitoring center.
Preferably, the step 2 of extracting the monitoring data specifically comprises: and carrying out target recognition and analysis on the collected video image data by adopting a deep neural network to obtain monitoring data.
Preferably, the monitoring data in step 3 determines whether the power system is abnormal, specifically:
and obtaining the probability of abnormality according to the monitoring data, and judging that the power system is abnormal when the probability of abnormality is greater than a preset value.
Preferably, when the abnormality is an emergency abnormality, before the emergency abnormality is uploaded to a background monitoring center, the emergency abnormality is preprocessed.
Preferably, the exception preprocessing comprises an indicator light warning, a sound warning and a camera tracking.
Compared with the prior art, the invention has the following advantages and beneficial effects: the invention is applied to the image information monitoring method of the electric power system, the monitoring method is applied to the monitoring terminal, collect the video image data of the electric power system; extracting monitoring data from the video image data; judging whether the power system is abnormal or not according to the monitoring data; and when the power system is abnormal, uploading the monitoring data to a background monitoring center. The monitoring method of the video image of the power system provided by the invention reduces the communication data volume, the communication cost and the maintenance cost of the background monitoring center.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a flowchart of an image information monitoring method applied to a power system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Examples
As shown in fig. 1, the image information monitoring method applied to the power system of the present invention includes the following steps
Step 1: collecting video image data of a power system;
step 2: extracting monitoring data from the video image data; the extraction of the monitoring data specifically comprises the following steps: and carrying out target recognition and analysis on the collected video image data by adopting a deep neural network to obtain monitoring data.
And step 3: judging whether the power system is abnormal or not according to the monitoring data; the monitoring data judges whether the power system is abnormal, specifically:
and obtaining the probability of abnormality according to the monitoring data, judging that the power system has abnormality when the probability of abnormality is larger than a preset value, and performing abnormality preprocessing on the emergency abnormality before uploading the emergency abnormality to a background monitoring center when the abnormality is the emergency abnormality, wherein the abnormality preprocessing comprises indicator light warning, sound warning and camera tracking.
And 4, step 4: and when the power system is abnormal, uploading the monitoring data to a background monitoring center.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (5)

1. An image information monitoring method applied to a power system is characterized by comprising the following steps:
step 1: collecting video image data of a power system;
step 2: extracting monitoring data from the video image data;
and step 3: judging whether the power system is abnormal or not according to the monitoring data;
and 4, step 4: and when the power system is abnormal, uploading the monitoring data to a background monitoring center.
2. The image information monitoring method applied to the power system according to claim 1, wherein the extracting of the monitoring data in the step 2 specifically comprises: and carrying out target recognition and analysis on the collected video image data by adopting a deep neural network to obtain monitoring data.
3. The image information monitoring method applied to the power system according to claim 1, wherein the monitoring data in the step 3 judges whether the power system is abnormal, specifically:
and obtaining the probability of abnormality according to the monitoring data, and judging that the power system is abnormal when the probability of abnormality is greater than a preset value.
4. The image information monitoring method applied to the power system according to claim 3, wherein when the abnormality is an emergency abnormality, the emergency abnormality is preprocessed before being uploaded to a background monitoring center.
5. The image information monitoring method applied to the power system as claimed in claim 4, wherein the abnormality preprocessing includes an indicator light warning, an audio warning and a camera tracking.
CN201810599964.0A 2018-06-12 2018-06-12 Image information monitoring method applied to power system Withdrawn CN110602435A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810599964.0A CN110602435A (en) 2018-06-12 2018-06-12 Image information monitoring method applied to power system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810599964.0A CN110602435A (en) 2018-06-12 2018-06-12 Image information monitoring method applied to power system

Publications (1)

Publication Number Publication Date
CN110602435A true CN110602435A (en) 2019-12-20

Family

ID=68849365

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810599964.0A Withdrawn CN110602435A (en) 2018-06-12 2018-06-12 Image information monitoring method applied to power system

Country Status (1)

Country Link
CN (1) CN110602435A (en)

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WW01 Invention patent application withdrawn after publication

Application publication date: 20191220

WW01 Invention patent application withdrawn after publication