Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power equipment state evaluation method based on alarm big data information

A technology for power equipment and state assessment, applied in digital data information retrieval, systems based on fuzzy logic, data processing applications, etc.

Active Publication Date: 2019-12-27
成都积盛电子科技有限公司
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although some enterprises and research institutions have gradually carried out research on the condition assessment and condition-based maintenance technology of power system equipment, they mainly focus on installing monitoring devices to obtain scattered alarm information, which will bring cost and safety risks. How to make good use of them? It is particularly critical to carry out data mining on existing alarm big data signals and to use advanced algorithms for scientific and effective evaluation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power equipment state evaluation method based on alarm big data information
  • Power equipment state evaluation method based on alarm big data information
  • Power equipment state evaluation method based on alarm big data information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0076] figure 1 It is a flow chart of the method for evaluating the status of electric equipment based on alarm big data information in the present invention.

[0077] In this example, if figure 1 As shown in the present invention, a method for evaluating the state of electric equipment based on alarm big data information includes the following steps:

[0078] S1. Based on the alarm big data information, evaluate the influencing factor set of the state of the electric equipment;

[0079] According to the experience of power grid dispatching and monitoring operation, based on the alarm big data information, select five dimensions that have a greater impact on the state of power equipment to establish a set of influencing factors for the evaluation object, namely: alarm information, frequent information, long-term unreturned information, and jitter Information and commissioning time, and at the same time establish six dimensions of the second level in the alarm information: ac...

example

[0170] Based on the alarm big data information of a certain device, the judgment matrix is ​​constructed by using the analytic hierarchy process, and the judgment matrix after each column is normalized is added by row to obtain the judgment matrix shown in Table 9:

[0171]

[0172]

[0173] Table 9

[0174] Normalize the rightmost column vector:

[0175]

[0176] Consistency check:

[0177] Calculate the largest characteristic root λ of the judgment matrix max =5.2866

[0178] Calculation of judgment matrix consistency index

[0179]

[0180] Calculate the random consistency ratio CR

[0181]

[0182] Therefore, it is considered that the judgment matrix satisfies consistency.

[0183] The fuzzy comprehensive evaluation method establishes the fuzzy relationship matrix, assuming that the following matrix is ​​obtained according to a certain equipment data:

[0184]

[0185] Calculate the fuzzy evaluation set, and multiply the weight w calculated by AHP w...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a power equipment state evaluation method based on alarm big data information. The method has the steps of determining factors influencing the equipment according to the actualoperation condition of the power system; then solving the combined weight of each state parameter that influences the equipment state by utilizing an analytic hierarchy process (AHP) method, and carrying out consistency check; and then carrying out comprehensive analysis and evaluation on the equipment state by utilizing a fuzzy comprehensive evaluation method on the basis of obtaining the combined weight to obtain an evaluation result.

Description

technical field [0001] The invention belongs to the technical field of state evaluation of electric equipment, and more specifically, relates to a state evaluation method of electric equipment based on alarm big data information. Background technique [0002] The power industry has entered the era of large power grids, informatization, digitization and intelligence. The operation level of the power system is directly related to the development of the national economy and national energy security. For a long time, the operation, maintenance and management of power equipment have adopted the method of planned maintenance and after-failure maintenance, which has not met the requirements of safety and development. Although some enterprises and research institutions have gradually carried out research on the condition assessment and condition-based maintenance technology of power system equipment, they mainly focus on installing monitoring devices to obtain scattered alarm inform...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/2458G06N7/02
CPCG06Q10/0639G06Q50/06G06F16/2465G06N7/02
Inventor 段翔兮黄琦陈哲
Owner 成都积盛电子科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products