阅读说明：本技术 一种风电机组故障数据分类存储的方法及系统 (Method and system for classified storage of fault data of wind turbine generator ) 是由 廖元文 任旦元 宋晓阳 陈立功 于海舒 于 2021-08-10 设计创作，主要内容包括：本发明公开了一种风电机组故障数据分类存储的方法及系统,一种风电机组故障数据分类存储的方法,根据风电机组的组成结构,建立发电机的物理分级表,再根据故障处理的信息,生成物理标签进行标记,最后将故障数据分类保存,并上传至云服务器进行存储及二次利用,本发明公开了一种风电机组故障数据分类存储系统,包括数据采集模块,分类整理模块,数据存储模块和云服务器。这为风电机组安全性和可靠性分析,提供准确的风电机组故障信息和原始故障数据。(The invention discloses a method and a system for classified storage of fault data of a wind turbine generator, wherein a physical classification table of a generator is established according to a composition structure of the wind turbine generator, a physical label is generated according to fault processing information for marking, and finally fault data are classified and stored and uploaded to a cloud server for storage and secondary utilization. The method provides accurate wind turbine generator fault information and original fault data for safety and reliability analysis of the wind turbine generator.)

1. a method for classified storage of fault data of a wind turbine generator is characterized by comprising the following steps:

s1, establishing a physical grading table according to the composition structure and the function of the wind turbine generator, and designing a physical label;

s2, collecting fault data of the wind turbine generator, and sorting the fault data through a physical classification table and a physical label;

s3, storing the classified data in a data storage module, and uploading the data to a cloud server periodically;

and S4, realizing data query and download functions through the cloud server, and realizing storage management of data.

2. The method for classified storage of wind turbine generator system fault data according to claim 1, wherein the physical classification table is divided into five levels according to the functions of wind turbine generator systems or components; the first stage is a large system which is relatively independent and complex in function; the second level, subclasses of the first-level classification, subsystems, components and parts with relatively independent functions; the third level, subclass of the second level classification, has relatively definite position of small system, small parts, mechanism, module and part of bigger parts; the fourth grade, the subclass of the third grade classification, the components and parts which can be replaced or maintained in theory and parts which are smaller in part, the fifth grade, the subclass of the fourth grade classification, the parts and the minimum manufacturing unit which can not be disassembled.

3. The method for classified storage of wind turbine generator system fault data as claimed in claim 1, wherein the physical tag includes a position code, a material code, a model number, and brand information.

4. The method as claimed in claim 1, wherein the fault data includes log files of the wind turbine, basic configuration information of the fault of the wind turbine, and fault processing procedure and result information of the final fault.

5. The method for classified storage of wind turbine generator system fault data as claimed in claim 1, wherein the data storage module is used for temporary storage and forwarding of classified fault data.

6. The method for classified storage of wind turbine generator system fault data as claimed in claim 1, wherein the cloud server is used for final storage and use of data.

7. A wind turbine generator system fault data classified storage system is suitable for the method for wind turbine generator system fault data classified storage according to claims 1-6, and is characterized by comprising a data acquisition module, a classified arrangement module, a data storage module and a cloud server, wherein the data acquisition module is connected with the classified arrangement module, the data arrangement module is connected with the data storage module, and the data storage module is connected with the cloud server.

8. The wind turbine generator system fault data classification and storage system according to claim 7, wherein the data collection module is configured to collect log files, basic configuration information and fault processing information when a fault occurs in a wind turbine generator system.

9. The wind turbine generator system fault data classification and storage system according to claim 7, wherein the classification and arrangement module is used for classification and arrangement of the generator system fault data, and comprises a physical classification table and a physical label.

Technical Field

The invention relates to the technical field of wind power, in particular to a method and a system for classified storage of fault data of a wind turbine generator.

Background

Under the large background of global energy supply shortage and increasingly prominent environmental problems, wind energy is more and more widely concerned due to the advantages of huge reserves, wide distribution, cleanness, no pollution, renewability and the like; meanwhile, under the support of the policy of the national vigorous development of new energy, each wind power company accelerates the pace of investment and construction of wind power projects. However, the large-scale centralized construction of the wind power station brings difficulties to the operation management of the wind power company and also brings many problems to the scheduling of the power grid. In recent years, along with the expansion of installed capacity and scale of wind turbine generators in China, in order to better research and improve the safety and reliability of the wind turbine generators, the collection and the arrangement of fault data of the wind turbine generators are of great importance, and part of the fault data of the wind turbine generators is artificially filled, because human understanding and expression can have differences, description of the same fault has great differences in text expression, rescreening and screening are needed in the actual fault classification and statistics process, and the accumulation of statistics and processing experience of fault processing conditions is not facilitated. The recorded fault information is inaccurate due to the fact that the template for recording the fault information is not standard; the hard disk capacity of the main controller is limited, which also causes the problem that the storage of the failure data is lost. This is not conducive to the classification statistics of unit faults and the reuse of subsequent fault data.

For example, the invention discloses a method and a system for counting the failure rate of a wind turbine generator, which is disclosed in the Chinese patent literature and has the publication number of "CN 109872084A". The method comprises the following steps: according to a pre-established fault tree model of the wind turbine generator, carrying out qualitative analysis on faults of the wind turbine generator to obtain a minimum cut set of a fault tree; acquiring fault time sequence information of the wind turbine generator; establishing a fault distribution function model by referring to a minimal cut set of a fault tree model according to the fault time sequence information; and calculating the top event probability, probability importance, structure importance and key importance of the wind turbine generator fault according to the fault distribution function model of the wind turbine generator. The method and the system for counting the fault rate of the wind turbine generator provide an effective means for quantitative analysis of the fault rate of the wind turbine generator and provide an effective technical support for improving the fault handling capacity of field maintenance personnel. However, the present invention does not relate in detail to classified storage of failure data and the like.

Disclosure of Invention

The invention aims to solve the problems of irregular record and missing fault data storage of the fault data of the wind turbine generator in the actual management. According to the method and the system for classified storage of the fault data of the wind turbine generator, a physical classification table of a generator is established according to the composition structure of the wind turbine generator, then a physical label is generated according to fault processing information for marking, finally, the fault data are classified and stored and uploaded to a cloud server for storage and secondary utilization, and accurate fault information and original fault data of the wind turbine generator are provided for safety and reliability analysis of the wind turbine generator.

In order to achieve the purpose, the invention adopts the following technical scheme: a method for classified storage of fault data of a wind turbine generator is characterized by comprising the following steps:

s1, establishing a physical grading table according to the composition structure and the function of the wind turbine generator, and designing a physical label;

s2, collecting fault data of the wind turbine generator, and sorting the fault data through a physical classification table and a physical label;

s3, storing the classified data in a data storage module, and uploading the data to a cloud server periodically;

s4, data query and download functions are realized through the cloud server, and data storage management is realized;

according to the functions of a wind turbine system or a component, a physical grading table is established, the physical grading table is gradually divided into five grades, the five grades are sequentially divided to a minimum composition unit from the first grade to the fifth grade, a designed physical label is related information about the wind turbine, collected fault data of the wind turbine are classified and sorted by sequentially using the physical grading table and the physical label to enable the data grades to be orderly organized, and data of classification numbers are stored in a data storage module and uploaded to a cloud server according to requirements to facilitate query and download of the data, so that the requirements of users are met.

Preferably, the physical classification table is divided into five levels according to the functions of the wind turbine system or the components; the first stage is a large system which is relatively independent and complex in function; the second level, subclasses of the first-level classification, subsystems, components and parts with relatively independent functions; the third level, subclass of the second level classification, has relatively definite position of small system, small parts, mechanism, module and part of bigger parts; the fourth grade, the subclass of the third grade classification, the components and parts which can be replaced or maintained in theory and parts which are smaller in part, the fifth grade, the subclass of the fourth grade classification, the parts and the minimum manufacturing unit which can not be disassembled. And according to the functions of the wind turbine system or the parts, gradually dividing the wind turbine system or the parts into the minimum composition units, and controlling the wind turbine system or the parts within the five levels.

Preferably, the physical tag includes a position code, a material code, a model number, brand information, and the like.

Preferably, the fault data includes log files when the wind turbine generator fails, basic configuration information of the wind turbine generator failure, and failure processing process and result information of the final failure.

Preferably, the data storage module is used for temporary storage and forwarding of classified fault data.

Preferably, the cloud server is used for final storage and use of data.

The wind turbine generator system fault data classified storage system is suitable for the wind turbine generator system fault data classified storage method and comprises a data acquisition module, a classified arrangement module, a data storage module and a cloud server, wherein the data acquisition module is connected with the classified arrangement module, the data arrangement module is connected with the data storage module, and the data storage module is connected with the cloud server.

Preferably, the data acquisition module is configured to acquire a log file, basic configuration information, and fault processing information when the unit fails.

Preferably, the classification and arrangement module is used for classifying and arranging the unit fault data, and the classification and arrangement module comprises a physical grading table and a physical label.

Therefore, the invention has the following beneficial effects:

1. the physical label is designed, the physical label comprises a position code, a material code, a model, brand information and the like, a fault log file, a unit configuration signal and fault processing information are marked through the physical label and stored in a data server, and data loss and search are avoided;

2. the invention standardizes the template and the content of the artificial filling part in the fault data, and ensures that the recorded fault information is more accurate. Through the design of fault data labeling, secondary utilization and retrospective analysis of data are facilitated, and statistical analysis of faults is facilitated.

Drawings

FIG. 1 is a flow chart of a method for classified storage of fault data of a wind turbine generator according to the present invention.

Detailed Description

Example 1

The embodiment provides a method for classified storage of fault data of a wind turbine generator, which, with reference to fig. 1, includes the following steps:

s1, establishing a physical grading table according to the composition structure and the function of the wind turbine generator, and designing a physical label;

s2, collecting fault data of the wind turbine generator, and sorting the fault data through a physical classification table and a physical label;

s3, storing the classified data in a data storage module, and uploading the data to a cloud server periodically;

and S4, realizing data query and download functions through the cloud server, and realizing storage management of data.

The physical classification table is divided into five levels according to the functions of the wind turbine system or the components; the first stage is a large system which is relatively independent and complex in function; the second level, subclasses of the first-level classification, subsystems, components and parts with relatively independent functions; the third level, subclass of the second level classification, has relatively definite position of small system, small parts, mechanism, module and part of bigger parts; the fourth grade, the subclass of the third grade classification, the components and parts which can be replaced or maintained in theory and parts which are smaller in part, the fifth grade, the subclass of the fourth grade classification, the parts and the minimum manufacturing unit which can not be disassembled. The physical label comprises a position code, a material code, a model, brand information and the like. The fault data comprises log files when the wind turbine generator fails, basic configuration information of the wind turbine generator faults, and fault processing process and result information of final faults. The data storage module is used for temporarily storing and forwarding classified fault data. The cloud server is used for final storage and use of data.

A wind turbine generator system fault data classification storage system is suitable for the wind turbine generator system fault data classification storage method and comprises a data acquisition module, a classification and arrangement module, a data storage module and a cloud server. The data acquisition module is connected with the classification and arrangement module, the data arrangement module is connected with the data storage module, and the data storage module is connected with the cloud server. And the data acquisition module is used for acquiring log files, basic configuration information and fault processing information when the unit fails. The classification and arrangement module is used for classifying and arranging the fault data of the unit and comprises a physical grading table and a physical label. The specific physical grading table is shown in the following table:

example 2

The embodiment provides a fault data classification storage process of the generator bearing over-temperature fault, which comprises the steps of establishing a physical classification table of a generator according to the composition structure of the generator and unit configuration information; and generating a physical label according to the information of fault processing for marking, and finally classifying and storing the fault data, and uploading the fault data to a cloud server for storage and secondary utilization. Specific failure names: over-temperature failure of a generator bearing; fault data: a fault log file; physical grading: a first stage, a power system; a second stage, a generator; a third stage, a bearing; fourth stage, generator drive end bearing; fifth stage, spherical balls; specific location codes in physical tags: 1-01-001-; brand name: SKF; the model is as follows: t2ED 045; material coding: 21234789, respectively; storing the address: zone 1-01-001 (bearing zone), see the following table: