Wind turbine generator set state monitoring private cloud system and method built from point of data processing

A wind turbine and state monitoring technology, which is applied in digital transmission systems, transmission systems, data exchange networks, etc., can solve the problems of long sampling period, high sampling frequency, and fast data growth, so as to reduce deployment costs, increase speed, and reduce The effect of data volume

Active Publication Date: 2016-05-04
NORTHEASTERN UNIV +1
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Wind field monitoring has the characteristics of many data sampling points, high sampling frequency, long sampling period, and fast data growth, which brings great challenges to data storage and analysis

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
  • Wind turbine generator set state monitoring private cloud system and method built from point of data processing
  • Wind turbine generator set state monitoring private cloud system and method built from point of data processing
  • Wind turbine generator set state monitoring private cloud system and method built from point of data processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] The wind turbine status monitoring private cloud system constructed from the perspective of data processing in this embodiment, such as figure 1 As shown, it includes wind farm local client, mobile client, and private cloud management platform.

[0046] In this embodiment, the OPCServer of the local client in the wind farm is the OPC source of DCOM; the configuration software is WinCCV6.0; the short-term master database and the short-time backup database are both MySQLV5.0; the private cloud management platform is selected Inspur Yunhai V4.0 is used; OracleV10.2.0 is used for the total database.

[0047] In this embodiment, the OPCServer is used to collect the real-time status parameters and alarm data of the on-site wind turbines transmitted by the corresponding lower computer, including the wind speed, active power, reactive power, power fact...

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 provides a wind turbine generator set state monitoring private cloud system and method built from the point of data processing, and belongs to the technical field of wind turbine generator set state monitoring. The system comprises a wind field local client, a mobile client, and a private cloud management platform. The wind field local client comprises an OPC Server, an OPC Client or configuration software, a safety management module, and a short-time main database. The mobile client comprises a user registration module, a blower fan monitoring registration module, and a monitoring object configuration module. The private cloud management platform comprises a general database, a short-time backup database, a safety management database, and a historical data query module. The system carries out the real-time collection of monitoring parameters through the OPC Server based on the OPC Client or the configuration software, stores the monitoring parameters to a local small-size database, stores the monitoring parameters in the cloud management platform through a main-slave backup method, and then stores the monitoring parameters in the general database, thereby solving problems of data collection instantaneity and big data. Meanwhile, the system also can process the authority of three types of access users, and timely adjusts the capabilities of all terminal users in obtaining the corresponding wind field local data.

Description

technical field [0001] The invention belongs to the technical field of wind turbine status monitoring, and in particular relates to a wind turbine status monitoring private cloud system and method constructed from the perspective of data processing. Background technique [0002] Wind turbines are mainly composed of blades, hubs, yaw systems, transmission mechanisms, gearboxes, generator systems, nacelles, control systems, and towers. The types of faults of wind turbines vary with the geographical location of the wind farm, wind conditions, types of wind turbines, and operating conditions. Control system, etc.) for on-line monitoring to avoid or reduce serious equipment damage, to determine a reasonable maintenance time and plan, so as to achieve the purpose of greatly reducing maintenance costs. [0003] Wind field monitoring has the characteristics of many data sampling points, high sampling frequency, long sampling period, and fast data growth, which brings great challeng...

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): H04L12/24H04L29/08
CPCH04L41/0246H04L67/10H04L67/12
Inventor 崔东亮王彦明徐泉许美蓉王良勇杨杰柴天佑
Owner NORTHEASTERN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products