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Wind turbine generator fault data classified storage method and system

A technology for wind turbines and fault data, applied in transmission systems, data processing applications, electrical components, etc., can solve problems such as lack of fault data storage, irregular records, etc., to achieve statistical analysis, convenient secondary use, and convenient traceability The effect of analysis

Pending Publication Date: 2021-12-10
ZHEJIANG WINDEY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problems of non-standard records and missing storage of fault data in the actual management of wind turbine fault data

Method used

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  • Wind turbine generator fault data classified storage method and system
  • Wind turbine generator fault data classified storage method and system
  • Wind turbine generator fault data classified storage method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] This embodiment proposes a method for classifying and storing fault data of wind turbines, refer to figure 1 , including the following steps:

[0025] S1, according to the structure and function of the wind turbine, establish a physical classification table and design a physical label;

[0026] S2, collecting fault data of wind turbines, and sorting them out through physical classification tables and physical labels;

[0027] S3, save the classified data to the data storage module, and upload it to the cloud server regularly;

[0028] S4, realize data query and download functions through the cloud server, and realize data storage management.

[0029] The physical classification table is divided into five levels according to the functions of the wind turbine system or components; the first level is a relatively independent large system with complex functions; the second level is a subcategory of the first level classification, and the subsystems, components and parts w...

Embodiment 2

[0034] This example proposes a fault data classification and storage process for generator bearing overtemperature faults. According to the composition structure of the generator and the configuration information of the generator set, a physical classification table of the generator is established; and then a physical label is generated according to the fault processing information for marking , and finally save the fault data by category and upload them to the cloud server for storage and secondary use. Specific fault name: generator bearing overtemperature fault; fault data: fault log file; physical classification: first level, power system; second level, generator; third level, bearing; fourth level, generator drive end Bearing; fifth grade, spherical ball; specific location code in the physical label: 1-01-001-0001-00001; brand: SKF; model: T2ED 045; material code: 21234789; storage address: 1-01-001 area ( bearing area), refer to the table below:

[0035]

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Abstract

The invention discloses a wind turbine generator fault data classified storage method and system, and the wind turbine generator fault data classified storage method comprises the steps: building a physical grading table of a generator according to the composition structure of a wind turbine generator; generating a physical label for marking according to fault processing information; and finally carrying out the classified storage of fault data, and uploading the information to the cloud server for storage and secondary utilization. The invention discloses a wind turbine generator fault data classification storage system, which comprises a data acquisition module, a classification arrangement module, a data storage module and a cloud server. Accurate fault information and original fault data of the wind turbine generator are provided for safety and reliability analysis of the wind turbine generator.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to a method and system for classifying and storing fault data of wind turbines. Background technique [0002] Against the background of tight global energy supply and increasingly prominent environmental problems, wind energy has attracted more and more attention due to its advantages such as huge reserves, wide distribution, cleanness, pollution-free and renewable; With the support, all wind power companies have accelerated the pace of investment and construction of wind power projects. However, the centralized construction of large-scale wind farms not only brings difficulties to the operation and management of wind power companies, but also brings many problems to the dispatching of the power grid. In recent years, with the expansion of the installed capacity and scale of wind turbines in my country, in order to better research and improve the safety and reliability of the un...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06Q10/00G06K9/62H04L29/08
CPCG06Q50/06G06Q10/20H04L67/1097G06F18/241Y02B10/30
Inventor 廖元文任旦元宋晓阳陈立功于海舒
Owner ZHEJIANG WINDEY