Single-Phase Power: 120V Low-line Vs. 208V High Power Line > 자유게시판

• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

The sort of strategies can obtain the distance data of power traces by means of visible matching, however this does not enhance the accuracy of power strains, and the calculation amount of 3D convolution is way bigger than that of 2D convolution, which makes it tough to make sure the efficiency of energy line extraction. Girshick (2015) proposed Fast RCNN on the idea of RCNN, which straight inputs the image into the convolution, and after passing via the ROI pooling layer, the generated region of interest is distributed to the fully related layer after which classification of objects is done with the assistance of SoftMax classifier. Within the RCNN algorithm, the extraction of features and the classification decision are carried out in collection, and the SVM classifier is used for classification, which leads to the disadvantage of a large amount of calculation. The primary disadvantages of Gabor transform embrace the premise operate unable to be an orthogonal system, and a non-orthogonal redundant basis required to be utilized in a sign analysis or numerical calculation, resulting in a relatively giant quantity of calculation and storage.

The parameter sharing of convolutional kernel within the hidden layer and the sparsity of interlayer connections allow a convolutional neural community to calculate complex features with a small quantity of computation (Redmon et al., 2016). A residual convolutional neural community is a convolutional neural network with residual blocks proposed by Kaiming He. Dai et al. (2022) proposed a CODNet community to extract options of energy strains from cluttered backgrounds robotically and predict centers and orientations of energy traces in the scene concurrently, as a information for the computerized navigation of UAVs. Many of the backgrounds have been filtered out in the picture of the foreground area given by the Gabor algorithm. 3. So as to reduce the false optimistic of the algorithm, an inference algorithm based mostly on contextual information was proposed which was used to infer and discriminate power strains through the set data template after performing K-means clustering and IOU calculation according to the power strains and contextual info, which improves the general reliability and practicability of the algorithm in this examine.

The general framework of the Gabor-YOLO algorithm is shown in Figure 1. The UAV picture was divided into the image enter foreground extraction module, in which the image was first preprocessed by gray scale and Gaussian filtering, then improved after performing characteristic extraction with the Gabor operator, and finally the foreground area was obtained in the picture and enter to the subsequent module. R is about to 16. AvgPool(⋅)and MaxPool(⋅) signify the module performing average pooling and maximum pooling of characteristic map spatial info, respectively. The RCNN first scans the enter image with the selective search algorithm to extract candidate bins, then scales all candidate boxes to a fixed pixel measurement through normalization, after which inputs them into the convolutional neural community to unify the size of the feature vector. The Gabor-YOLO algorithm in this study is composed of an adaptive foreground extraction module based on the Gabor operator, an improved YOLO network based mostly on attention mechanism, and a reasoning module primarily based on contextual data.

The Gabor operator was used in the examine. Low-voltage distribution strains are divided into buried cables and overhead lines, and our study entails low-voltage overhead lines. 2017) proposed a binocular vision-based methodology for power traces extraction and distance measurement. 4. The proposed methodology takes accuracy and pace under consideration, and it may possibly run in real-time and be easily utilized to clever edge devices, such as Nvidia Jetson Xavier NX. The main software of edge detection is the edge detection template, which is used to subtract the gray worth of the fitting adjoining level from the gray worth of the left adjoining level as the gray worth of the purpose. 1. Power line detection based on a laser point cloud. This method typically uses a laser to scan energy strains, which is appropriate for top-voltage transmission circuits. It can be seen that related research lately has focused on the detection of ultra-high voltage transmission lines and railway energy lines, and there are few research on the identification of low-voltage overhead strains.

If you enjoyed this write-up and you would like to obtain more information concerning low voltage power line kindly see the web-page.