Check patentability & draft patents in minutes with Patsnap Eureka AI!

Video image fusion method based on wind turbine generator fault identification

A video image, wind turbine technology, applied in character and pattern recognition, computer parts, instruments, etc., can solve complex and difficult problems in information extraction and mining, save time and workload, and reduce errors.

Pending Publication Date: 2021-03-30
BEIJING HUANENG XINRUI CONTROL TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the video has the continuity that a single image does not have, the video image has a huge amount of information, and it has the ability of spatial resolution and time resolution at the same time, but it is complicated and difficult to really extract and dig out this information

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
  • Video image fusion method based on wind turbine generator fault identification
  • Video image fusion method based on wind turbine generator fault identification
  • Video image fusion method based on wind turbine generator fault identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, the present disclosure will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0058] First, refer to figure 1 An example electronic device for implementing a video image fusion method based on wind turbine fault identification according to an embodiment of the present disclosure will be described.

[0059] Such as figure 1 As shown, the electronic device 200 includes one or more processors 210, one or more storage devices 220, one or more input devices 230, one or more output devices 240, etc., these components are connected via a bus system 250 and / or other The form of the connecting mechanism interconnects. It should be noted that figure 1 The shown components and structure of the electronic device are exemplary rather than limiting, and the electronic device may also have other components an...

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 video image fusion method based on wind turbine generator fault identification. The method comprises the following steps: collecting video image information of a wind turbinegenerator; performing image framing processing on the video image information; carrying out gray scale conversion on the image after framing processing,and carrying out pixel-level image fusion underwavelet decomposition to obtain a first fusion image; performing pixel-level image fusion under a Laplace pyramid on the image after framing processing to obtain a second fused image; adopting an SIFTalgorithm for the framed image to obtain a third fused image under a feature level; carrying out entropy, joint entropy and root-mean-square error calculation on the three fused images; designing a GUI human-computer interaction interface, reflecting the three fusion processing algorithms and the calculation of the index quantity in the interface, obtaining a final fusion image through the obtained index value, and carrying out the fault recognition of the wind turbine generator through the final fusion image. The fault state of the fan external equipment can be better recognized, and the influence of a shelter at a single angle is avoided.

Description

technical field [0001] The disclosure belongs to the technical field of wind turbine fault identification, and in particular relates to a video image fusion method based on wind turbine fault identification. Background technique [0002] The safety of external equipment of wind power equipment is not only to effectively deal with the formation and outbreak of crisis, but more importantly, to predict and warn the possible factors of wind power accidents, so as to fundamentally prevent the formation and outbreak of crisis. The external equipment of wind turbines must adhere to the principle of combining prevention and emergency, and special attention should be paid to the system's ability to predict and identify in advance. It is beneficial to do a good job in strengthening the basic work of preparation, preparation and early warning of emergency management of crisis events, improve the ability of early warning and prevention of crisis events, and fully realize the organic com...

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
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/462G06F18/40G06F18/251G06F18/253Y02E10/72
Inventor 江灿安倪艳红田宏哲孙新佳曾凡春
Owner BEIJING HUANENG XINRUI CONTROL TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More