CN-121993360-A - Monitoring method, system, equipment and medium for wind driven generator

CN121993360ACN 121993360 ACN121993360 ACN 121993360ACN-121993360-A

Abstract

The application discloses a monitoring method, a system, equipment and a medium for a wind driven generator, and relates to the technical field of fan monitoring, wherein the method comprises the steps of carrying out three-dimensional modeling based on the wind driven generator to obtain an initial three-dimensional model; the method comprises the steps of collecting running data of a wind driven generator in real time, carrying out association fusion on the running data and an initial three-dimensional model by using a preset data fusion algorithm to obtain a target three-dimensional model, and monitoring the wind driven generator based on the running data and the target three-dimensional model, wherein the monitoring comprises data monitoring and fault monitoring. The problem of traditional aerogenerator running state monitoring system lack audio-visual three-dimensional show function, to aerogenerator's monitoring effect relatively poor is solved.

Inventors

MA ZHIHONG
LUO MINGGAO
FAN LEI
Zheng Zhuolong
LEI YINGLING
DAI JIANSHENG

Assignees

华润新能源投资有限公司宁夏分公司

Dates

Publication Date: 20260508
Application Date: 20251208

Claims (10)

1. A monitoring method for a wind turbine, comprising: performing three-dimensional modeling based on the wind driven generator to obtain an initial three-dimensional model; Collecting operation data of the wind driven generator in real time; Performing association fusion on the operation data and the initial three-dimensional model by using a preset data fusion algorithm to obtain a target three-dimensional model; and monitoring the wind driven generator based on the operation data and the target three-dimensional model, wherein the monitoring comprises data monitoring and fault monitoring.
2. The method according to claim 1, wherein the three-dimensional modeling based on the wind power generator to obtain an initial three-dimensional model comprises: Obtaining the actual size and design drawing of the wind driven generator; and carrying out three-dimensional modeling according to the actual size and the design drawing by using preset three-dimensional modeling software to obtain an initial three-dimensional model.
3. The method of claim 1, wherein the operational data comprises component data of a plurality of components of the wind turbine at an operational time; the method for obtaining the target three-dimensional model by performing association fusion on the operation data and the initial three-dimensional model by using a preset data fusion algorithm comprises the following steps: Preprocessing a plurality of component data by using a preset data fusion algorithm to obtain a plurality of processing data; constructing a component anchor point of each component of the wind driven generator on the initial three-dimensional model; and correspondingly associating the plurality of processing data with the plurality of component anchor points according to the component types to form a target three-dimensional model.
4. The method of claim 1, wherein the monitoring the wind turbine based on the operational data and the target three-dimensional model comprises: Three-dimensional display is carried out on the target three-dimensional model fused with the operation data so as to monitor the data of the wind driven generator; Performing fault diagnosis on the wind driven generator based on the operation data by using a preset fault diagnosis algorithm to obtain fault parameters; And performing fault display on the target three-dimensional model based on the fault parameters so as to perform fault monitoring on the wind driven generator.
5. The method of claim 4, wherein performing fault diagnosis on the wind turbine based on the operation data by using a preset fault diagnosis algorithm to obtain fault parameters, including: Screening abnormal data from the operation data according to a preset normal data range by using a preset fault diagnosis algorithm; and searching fault parameters corresponding to the abnormal data in a preset fault table, wherein the fault parameters comprise fault types and fault component types.
6. The method of claim 4, wherein the fault parameters include a fault type, a fault component type, and wherein the performing fault presentation on the target three-dimensional model based on the fault parameters to perform fault monitoring on the wind turbine comprises: searching a fault component corresponding to the fault component type on the target three-dimensional model; Searching a reminding color corresponding to the fault type in a preset fault degree color table; Rendering and displaying the fault component on the target three-dimensional model according to the reminding color so as to monitor the fault of the wind driven generator.
7. The method according to any one of claims 1 to 6, further comprising: acquiring interaction information of a user aiming at the target three-dimensional model; and controlling the target three-dimensional model to respond to the interaction information so as to realize interaction between the user and the target three-dimensional model.
8. A monitoring system for a wind turbine, comprising: the modeling module is used for carrying out three-dimensional modeling based on the wind driven generator to obtain an initial three-dimensional model; The acquisition module is used for acquiring the operation data of the wind driven generator in real time; The data fusion module is used for carrying out association fusion on the operation data and the initial three-dimensional model by utilizing a preset data fusion algorithm to obtain a target three-dimensional model; And the fan monitoring module is used for monitoring the wind driven generator based on the operation data and the target three-dimensional model, and the monitoring comprises data monitoring and fault monitoring.
9. A computing device comprising a memory, a processor and a program stored on the memory and running on the processor, wherein the processor, when executing the program, implements the steps of a monitoring method for a wind turbine according to any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein instructions, which when run on a terminal device, cause the terminal device to perform the steps of a monitoring method for a wind turbine according to any of claims 1 to 7.

Description

Monitoring method, system, equipment and medium for wind driven generator Technical Field The application relates to the technical field of fan monitoring, in particular to a monitoring method, a system, equipment and a medium for a wind driven generator. Background Wind power generation is a clean, renewable energy source that has gained widespread attention and application worldwide. However, the traditional wind driven generator running state monitoring system mainly depends on data acquisition and display, and the running data display form is data table display or two-dimensional pattern display, so that an intuitive three-dimensional display function is lacked, the monitoring effect on the wind driven generator is poor, and an operation and maintenance person can hardly know the running state and performance of each component system of the wind driven generator comprehensively. Disclosure of Invention In order to solve the problem that the traditional wind driven generator running state monitoring system lacks an intuitive three-dimensional display function and has poor monitoring effect on the wind driven generator, the application provides a monitoring method, a system, equipment and a medium for the wind driven generator. In order to solve the above technical problems, the present application provides a monitoring method for a wind turbine, including: performing three-dimensional modeling based on the wind driven generator to obtain an initial three-dimensional model; Collecting operation data of the wind driven generator in real time; performing association fusion on the operation data and the initial three-dimensional model by using a preset data fusion algorithm to obtain a target three-dimensional model; And monitoring the wind driven generator based on the operation data and the target three-dimensional model, wherein the monitoring comprises data monitoring and fault monitoring. Further, performing three-dimensional modeling based on the wind driven generator to obtain an initial three-dimensional model, including: Obtaining the actual size and design drawing of the wind driven generator; And carrying out three-dimensional modeling according to the actual size and the design drawing by using preset three-dimensional modeling software to obtain an initial three-dimensional model. Further, the operation data includes component data of a plurality of components of the wind turbine at the time of operation; performing association fusion on the operation data and the initial three-dimensional model by using a preset data fusion algorithm to obtain a target three-dimensional model, wherein the method comprises the following steps: Preprocessing a plurality of component data by using a preset data fusion algorithm to obtain a plurality of processed data, wherein the preprocessing comprises filtering processing and time stamp alignment processing; Constructing a component anchor point of each component of the wind driven generator on the initial three-dimensional model; and correspondingly associating the plurality of processing data with the plurality of component anchor points according to the component types to form the target three-dimensional model. Further, monitoring the wind turbine based on the operational data and the target three-dimensional model includes: Three-dimensional display is carried out on the target three-dimensional model fused with the operation data so as to monitor the data of the wind driven generator; performing fault diagnosis on the wind driven generator based on the operation data by using a preset fault diagnosis algorithm to obtain fault parameters; And performing fault display on the target three-dimensional model based on the fault parameters so as to perform fault monitoring on the wind driven generator. Further, performing fault diagnosis on the wind driven generator based on the operation data by using a preset fault diagnosis algorithm to obtain fault parameters, including: Screening abnormal data from the operation data according to a preset normal data range by using a preset fault diagnosis algorithm; and searching fault parameters corresponding to the abnormal data in a preset fault table, wherein the fault parameters comprise fault types and fault component types. Further, the fault parameters comprise fault type and fault component type, and the fault display is carried out on the target three-dimensional model based on the fault parameters so as to carry out fault monitoring on the wind driven generator, and the method comprises the following steps: Searching a fault component corresponding to the fault component type on the target three-dimensional model; Searching a reminding color corresponding to the fault type in a preset fault degree color table; and rendering and displaying the fault component on the target three-dimensional model according to the reminding color so as to monitor the fault of the wind driven generator. Further, a monitoring method