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Equipment fault monitoring method and device, equipment and medium

A technology of equipment failure and equipment data, which is applied in the field of intelligent operation and maintenance management of substations, can solve problems such as high cost, low efficiency, and long processing time, and achieve the effects of efficient processing, improved computing efficiency, and reduced operating costs

Pending Publication Date: 2022-07-01
STATE GRID BEIJING ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a device fault monitoring method, device, device and medium to solve the technical problems of high cost, long processing time and low efficiency caused by over-reliance on cloud center processing in the prior art

Method used

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  • Equipment fault monitoring method and device, equipment and medium
  • Equipment fault monitoring method and device, equipment and medium
  • Equipment fault monitoring method and device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0079] like figure 1 As shown, a method for monitoring equipment failure includes the following steps:

[0080] Through real-time acquisition of multi-parameter sensors, the data of substation equipment is obtained, and the basic sequence {x 1 ,x 2 ,x 3 ...x n }, equipment data includes transformer partial discharge, temperature, noise, GIS partial discharge, temperature and humidity of sink control cabinet, etc.;

[0081] Perform data judgment on the base sequence, compare the data in the base sequence with the preset value, if the data in the base sequence is less than the preset value, no fault occurs, if the data in the base sequence is greater than the preset value, generate according to the base sequence Standard sequence; the default value is the minimum value of the equipment data at the time of the historical fault; if the data judgment of the transformer temperature data is performed, the transformer temperature data obtained this time will be x 温 Compare with t...

Embodiment 2

[0122] like figure 2 As shown, an equipment fault monitoring device includes:

[0123] Basic sequence generation module: used to obtain device data and generate basic sequences;

[0124] Fault judgment module: used to compare the base sequence with the preset value, if the data in the base sequence is less than the preset value, no fault occurs, and if the data in the base sequence is greater than the preset value, a standard sequence is generated according to the base sequence;

[0125] Label sequence generation module: used to input the standard sequence into the recurrent neural network to obtain the label sequence corresponding to the standard sequence;

[0126] Feature dataset generation module: used to calculate feature datasets based on standard sequences;

[0127] Final objective loss function generation module: used to calculate the final objective loss function based on the feature dataset and label sequence;

[0128] Weight value acquisition module: used to obta...

Embodiment 3

[0132] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the above-mentioned method for monitoring equipment failure when the processor executes the computer program.

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Abstract

The invention belongs to the technical field of intelligent operation and maintenance management of transformer substations, and particularly discloses an equipment fault monitoring method and device, equipment and a medium. Acquiring equipment data, and generating a basic sequence; comparing the basic sequence with a preset value, if the data in the basic sequence is smaller than the preset value, determining that no fault occurs, and if the data in the basic sequence is larger than the preset value, generating a standard sequence according to the basic sequence; inputting the standard sequence into the recurrent neural network to obtain a tag sequence corresponding to the standard sequence; calculating a feature data set according to the standard sequence; calculating a final target loss function according to the feature data set and the tag sequence; obtaining a weight value according to the final target loss function; carrying out lightweight processing on the weight value and outputting the weight value; and performing fault diagnosis according to the final output parameters. According to the invention, the fault judgment is carried out at an edge server or a sensor by carrying out lightweight processing on the equipment data, a cloud server is not needed, and the fault judgment speed is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent operation and maintenance management of substations, and in particular relates to an equipment fault monitoring method, device, equipment and medium. Background technique [0002] As an important carrier of the power Internet of Things, smart substations are currently the main work of daily operation and maintenance. The traditional operation method is that the operation and maintenance personnel go to the site to work, and after completion, the operation and maintenance personnel will record the inspection and send it back The main station has a long work cycle, low work efficiency, and waste of human and material resources. At present, in the monitoring process of substation equipment, the sensors installed on the equipment are all collecting data at fixed positions. Conventional sensors do not have the ability to move and act autonomously, and also lack front-end data processing capabiliti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02G06K9/62G06N3/04
CPCG01D21/02G06N3/044G06F18/23
Inventor 何彦彬余谦沈洋王天一常媛屈珣高梦雅田子健
Owner STATE GRID BEIJING ELECTRIC POWER
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