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Recognition Method of Digital Meter Readings in Substation Based on Connected Domain Analysis Algorithm
2021
Actuators
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Aiming at the problem that the number and decimal point of digital instruments in substations are prone to misdetection and missed detection, a method of digital meter readings in a substation based on ...
The method reduces the problem of mutual interference among categories when detecting YOLOv4. The experimental results show that the method improves the detection accuracy of the algorithm. ...
based on deep learning [5] [6] [7] [8] [9] . ...
doi:10.3390/act10080170
fatcat:ciipsakgonftpluloh2mqdzloe
Computer Vision Based Automatic Recognition of Pointer Instruments: Data Set Optimization and Reading
2021
Entropy
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for the target detection and reading of pointer meters. ...
Network (Faster-RCNN) based object detection integrating with traditional computer vision. ...
Experimental Results The detection algorithm is developed based on the deep learning language framework Torch. ...
doi:10.3390/e23030272
pmid:33668759
pmcid:PMC7996160
fatcat:jg2wsctl4bhj5fmo4dnsu6prja
Study of Device State Recognition Algorithm Based on Improved YOLOv3
2020
Saudi Journal of Engineering and Technology
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Foreground segmentation is to model the background information in the scene before recognizing the image, to separate the foreground target from the scene, at the same time to reduce the impact of noise ...
In view of the timeliness and accuracy of traditional state recognition algorithms, this paper proposes an improvement measure for foreground segmentation and target recognition. ...
Deep learning target detection technology has been widely used in recent years, and as one of the representative models of target detection, the biggest feature of the YOLOv3 algorithm models is its fast ...
doi:10.36348/sjet.2020.v05i08.001
fatcat:w5rvux6nhrabvnkd2bsj3wbsme
A MultiModal Detection Method for UHV Substation Faults Based on Robot Inspection and Deep Learning
2022
Journal of Robotics
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Aiming at the problem of multi-modal fault detection of different equipment in ultrahigh voltage (UHV) substations, a method for based on robot inspection and deep learning is proposed. ...
Then, the HSV color space model based on saliency area detection is used to extract equipment defect areas, which improves the accuracy of defect image classification. ...
Acknowledgments e authors are thankful to the science and technology project funding from State Grid Corporation of China (Project number: kj2021-059). ...
doi:10.1155/2022/1188617
fatcat:ju7arzzhxveujo6g2rxasvpgcm
Smear character recognition method of side-end power meter based on PCA image enhancement
2022
Nonlinear Engineering
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A convolution neural network framework based on deep learning is proposed to realize the segmentation of smear characters, and the final segmented individual characters are fed into a network to identify ...
Since it is difficult for manual recording to track the rapid change of indication of the power meter, the power meter images are collected by the camera and automatically recognized and recorded to effectively ...
Finally, a convolutional neural network framework based on deep learning is designed to realize the perfect segmentation of instrument shadow characters. ...
doi:10.1515/nleng-2022-0028
fatcat:tfoqwehyanbltgbst3eq4sv3gq
Research and Application Toward the Atlas Variation Detection Technology of Soft Sensor in Substation's State Intelligence Analysis System
2017
DEStech Transactions on Engineering and Technology Research
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the video, provide a new kind of monitoring way to monitor the substation's environmental security situation, the abnormality of electrical equipment, automatic tracking of abnormal target and other monitoring ...
requirements, and realize intelligent warning of the substation's fault information. ...
This system establishes a typical scene database around the multimedia recognition and stream processing technology, thus forming an effective learning mechanism and perfect reasoning mechanism based on ...
doi:10.12783/dtetr/iceta2016/7051
fatcat:spoqxeyw5nbmxb22eh2yifbvee
Thinking and Prospect of Power Chip Specificity
2021
International Journal of Photoenergy
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The contradiction between the demand of massive intelligent scene caused by the interconnection of things in power system and the bottleneck of the chip itself is becoming more and more serious. ...
Therefore, this paper analyzes the demand for power chips in power system and discusses the scene specificity of power chips. ...
The intelligent inspection robot is used in the substation for equipment inspection, taking photos and archiving for key parts and meters, detecting meter scale, and real-time infrared monitoring of equipment ...
doi:10.1155/2021/1512629
doaj:2c1faad0ea5c401e916a5cf5deace8db
fatcat:tj26lb2wzfgvzfkyu35e6yw2em
Recognition Method of Knob Gear in Substation Based on YOLOv4 and Darknet53-DUC-DSNT
2022
Sensors
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For the above problems, we propose a three-stage knob gear recognition method based on YOLOv4 and Darknet53-DUC-DSNT models for the first time and apply key point detection of deep learning to knob gear ...
However, in the actual scene of the substation, the recognition method of a knob gear has low accuracy. The main reasons are as follows. ...
The second method is based on deep learning. Mengan Shi et al. ...
doi:10.3390/s22134722
pmid:35808219
pmcid:PMC9269388
fatcat:qbhgqdfzobfr7ie6necwaanvmm
CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Our experiments show that DetDSCI methodology achieves up to 37.53% F1 improvement with respect to Faster R-CNN, one of the most influential detection models. ...
However, the detection of such infrastructures is complex as they have highly variable shapes and sizes, i.e., some infrastructures, such as electrical substations, are too small while others, such as ...
expression and detection model based on deep transferable CNNs. ...
doi:10.1109/jstars.2021.3128994
fatcat:klvswivjobhqlnhciyysfng2le
Table of contents
2021
2021 International Conference on Power System Technology (POWERCON)
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and distribution price system PowerCon 2021CP0165 Research on Peak-valley Time Division Method of TOU Electricity Price Based on Density Clustering
Term Wind Power Prediction of Regions Based on Deep ...
Method Based on the Legality of Action Messages in Process Layer of Smart Substation ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• ...
and generation method of virtual terminals in smart substation based on reinforcement learning and semantic analysis Container-Based Microservice Modeling and Computing Resource Scheduling Method for ...
doi:10.1109/powercon53785.2021.9697405
fatcat:ssuov6syuzeojjgzalbmkozecq
Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things
2022
Computational Intelligence and Neuroscience
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, security protection of power system, and deep-seated ubiquitous power Internet of Things. ...
The application of wireless sensor networks is prospected from the aspects of network development of relay protection, application research of smart substation, application research of power grid catastrophe ...
Based on sensor network technology and RFID radio frequency identification technology, the system realizes the supervision function of the patrol personnel arriving at the scene and patrolling according ...
doi:10.1155/2022/9004942
pmid:35755756
pmcid:PMC9217569
fatcat:pp3wq5hwlvbermgxqsearrv2oe
Research and application of power grid intelligent inspection management system based on physical ID
2021
E3S Web of Conferences
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system based on physical ID. ...
By using big data mining and unsupervised clustering machine learning algorithm, the problems of poor accuracy and slow calculation speed of a large number of alarm data area division are fundamentally ...
Research on identification method of hidden danger in transmission channel Using deep learning algorithm as the basis of scene recognition algorithm, a large number of candidate target area boxes are generated ...
doi:10.1051/e3sconf/202125701027
fatcat:ybqdzoekmrbyfhkr2fllhjowse
Using Game Engines In Lightning Shielding: The Application Of The Rolling Spheres Method On Virtual As-Built Power Substations
2018
Zenodo
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The use of traditional methods of longitudinal cutting analysis based on 2D CAD tools makes the process laborious and the results obtained may not guarantee satisfactory protection of electrical equipment ...
In order to mitigate this problem, a meticulous planning of the power substation protection system is of vital importance. ...
., under the auspices of the R&D Program of Agência Nacional de Energia Elétrica (ANEEL). ...
doi:10.5281/zenodo.1316075
fatcat:s5mmw6ro4fhivaa5cbc7mxmdae
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
[article]
2020
arXiv
pre-print
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Large annotated point cloud data sets have become the standard for evaluating deep learning methods. ...
This data set gives a critical number of expert verified hand-labeled points for the evaluation of new 3D deep learning algorithms, helping to expand the focus of current algorithms to aerial data. ...
deep learning applications. ...
arXiv:2004.11985v1
fatcat:adbqj4lpgrdunnsc7u3v5owpii
A Comprehensive Survey for Deep-Learning-Based Abnormality Detection in Smart Grids with Multimodal Image Data
2022
Applied Sciences
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Traditional approaches are also summarized together with their performance comparison with deep-learning-based approaches, based on which the necessity, seen in the surveyed literature, of adopting image-data-based ...
In addition, several key methodologies and conditions for applying these techniques to abnormality detection are identified to help determine whether to use deep learning and which kind of learning techniques ...
YNKJXM20191246), which focuses on the construction of satellite remote-sensing technology for power applications and wide-area intelligent monitoring of environments. ...
doi:10.3390/app12115336
fatcat:ot7ptci7bzafng3ytwhkk53ole
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