Power industry risk prediction method and system

A technology of risk forecasting and power industry, applied in forecasting, data processing applications, instruments, etc., can solve the problems of long continuous operation cycle, insufficient maintenance, and excessive maintenance of power equipment

Pending Publication Date: 2020-11-27
STATE GRID ANHUI ELECTRIC POWER +14
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  • Abstract
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  • Application Information

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Problems solved by technology

[0002] The electric power industry involves many electric equipments. Due to the characteristics of long continuous operation period and harsh equipment operating environment, electric power equipment needs to be repaired and maintained in time. Power lines and plant equipment need to be repaired according to the plan. Serious defects, such as frequent temporary maintenance, insufficient maintenance or excessive maintenance, blind maintenance, etc., make countries around the w

Method used

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  • Power industry risk prediction method and system
  • Power industry risk prediction method and system
  • Power industry risk prediction method and system

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Embodiment

[0062] Such as figure 1 As shown, the embodiment of the present invention provides a method for risk prediction in the electric power industry, comprising the following steps:

[0063] S1, collecting the initial parameters of each electric equipment;

[0064] S2. According to the initial parameters of each electric equipment, the operation prior knowledge of each corresponding electric equipment is obtained;

[0065] S3. Establishing a risk prediction model according to the prior knowledge of the operation of each power equipment;

[0066] S4. Obtain and send real-time operation data of each circuit device;

[0067] S5. Import the real-time operation data into the risk prediction model, and output the prediction result through the risk prediction model.

[0068] The power safety of the power industry is very important, and it is necessary to monitor the operating status of multiple power equipment in real time, and carry out risk prediction in time, so that the power equipm...

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Abstract

The invention discloses a power industry risk prediction method. The method comprises the following steps of collecting initial parameters of each power device; obtaining corresponding operation priori knowledge of each power device according to the initial parameters of each power device; establishing a risk prediction model according to the operation priori knowledge of each power device; acquiring and sending real-time operation data of each circuit device; and importing the real-time operation data into a risk prediction model, and outputting a prediction result through the risk predictionmodel. The invention also discloses a power industry risk prediction system. According to the invention, the risk factors of the power equipment in the power industry can be analyzed, and the risk ofthe power equipment can be predicted timely and efficiently, so that the power equipment can be overhauled and maintained timely and efficiently, and the maintenance cost is saved.

Description

technical field [0001] The present invention relates to the technical field of electric power industry risk prediction, in particular to a method and system for electric power industry risk prediction. Background technique [0002] The electric power industry involves many electric equipments. Due to the characteristics of long continuous operation period and harsh equipment operating environment, electric power equipment needs to be repaired and maintained in time. Power lines and plant equipment need to be repaired according to the plan. Serious defects, such as frequent temporary maintenance, insufficient maintenance or excessive maintenance, blind maintenance, etc., make countries around the world spend a lot of money on equipment maintenance every year, and power outages of power lines and plant equipment will lead to changes in the distribution of the entire grid power flow, and at the same time It will also have a great impact on the lives of residents. Therefore, it ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/00G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q10/20G06Q50/06
Inventor 方圆李明张靖俞骏豪张亮盛剑桥管建超宫帅马永孙强郭洋徐道磊路宇程航
Owner STATE GRID ANHUI ELECTRIC POWER
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