Photovoltaic power station hot spot detection and positioning method based on thermal infrared image

A technology of photovoltaic power station and positioning method, which is applied in radiation pyrometry, image enhancement, image analysis, etc., can solve the problems that diodes consume power and reduce the output efficiency of power stations.

Active Publication Date: 2021-01-08
CHONGQING UNIV OF POSTS & TELECOMM
View PDF8 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of method is commonly used in photovoltaic modules. The main purpose is to reduce the reverse voltage and current received by the shaded pa

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
  • Photovoltaic power station hot spot detection and positioning method based on thermal infrared image
  • Photovoltaic power station hot spot detection and positioning method based on thermal infrared image
  • Photovoltaic power station hot spot detection and positioning method based on thermal infrared image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The technical solutions in the embodiments of the present invention will be described clearly and in detail below in conjunction with the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0062] The technical scheme that the present invention solves the problems of the technologies described above is:

[0063] The method for detecting and locating hot spots of photovoltaic power plants based on thermal infrared images of the present invention, its specific implementation scheme is as follows:

[0064] (1) DJI’s Matrice M210 quadrotor drone is equipped with ZENMUSE XT 2 gimbal camera, which includes a FLIR long-wave infrared camera and a visible light camera. A quadrotor UAV is used to take a large number of hot spot pictures from the perspective of the UAV on the solar panels of the photovoltaic power station under the condition of a certain height, which is used to make a data set. Whe...

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 discloses a photovoltaic power station hot spot detection and positioning method based on a thermal infrared image. Pictures shot by a thermal imager carried by an unmanned aerial vehicle are infrared pictures, the resolution ratio is very low, the form of hot spots is usually very small, the accuracy of hot spot recognition is very low, and accurate positioning is difficult. Aimingat hot spot identification, the invention provides a UAV-YOLO model, a neural network residual error unit is added for fusion, characteristics of a front network are utilized to a greater extent, andhot spot characteristics of a far visual angle are learned; a YOLOv3 backbone network architecture is improved, and more hot spot appearance feature information can be learned in a front-end network.Aiming at hot spot positioning, the invention provides a geometric positioning algorithm, and the longitude and latitude of a hot spot are calculated through the longitude and latitude of an image center point, a yaw angle, the shooting height of an unmanned aerial vehicle and other information. According to the invention, the hot spot positioning precision is improved on the premise of ensuring the hot spot identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of hot spot detection, deep learning, neural network and geometric latitude and longitude positioning of photovoltaic power station solar cells, and in particular relates to a method for hot spot detection and positioning of photovoltaic power station based on thermal infrared images. Background technique [0002] Solar energy is favored by more and more people with its advantages of cleanliness and pollution-free, and all countries in the world are actively developing solar power generation technology. However, the overall quality of photovoltaic power plants is not optimistic, and the decline in power generation of photovoltaic modules is relatively serious. In terms of construction scale, the larger the scale of the photovoltaic power generation project, the more complex the inspection work of the power station will be. It is difficult for manual inspection and detection to meet the requirements of inspec...

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): G06T7/00G06T7/73G06T7/10G06K9/62G06N3/04G06N3/08G01J5/00
CPCG06T7/0004G06T7/73G06T7/10G06N3/08G01J5/0096G06T2207/10048G06T2207/20081G06T2207/20084G06T2207/30108G01J5/485G06N3/048G06N3/045G06F18/23213G06F18/241
Inventor 刘明杰黎功郭豪邓名新王支浩陈冲付秀元张晶江春梅余正东孙开伟朴昌浩
Owner CHONGQING UNIV OF POSTS & TELECOMM
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap