Design and development of intelligent operation and maintenance training system for substation based on augmented reality

Yong, Peng; Yu, Guanding; Ni, Wei; Lv, Zhengquan; Jiang, Yuliang; Chen, Jing

doi:10.1109/cac.2017.8243621

Cited by 5 publications

(3 citation statements)

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“…Published by Francis Academic Press, UK -26-image as a template image. Based on the template image, scale transformation is performed on the visible light image of the pig, thereby unifying the size of spatial objects on the heterogeneous image and obtaining the optimal matching position of the thermal infrared image in the visible light image, Then, the AKAZE (Accelerated KAZE) feature extraction algorithm is used to find the top 10% feature points among the 600 feature points in the heterogeneous image [23][24][25] . GMS (Grid based Motion Statistics) is used to optimize the matching pairs and perform image alignment to complete registration [26][27][28][29] .…”

Section: Heterologous Image Registration Based On Contour and Feature...mentioning

confidence: 99%

Detection of ear root feature region in heterogeneous images based on pig head posture

2023

AJCIS

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In the scene of pig thermal infrared temperature measurement, the temperature of the ear root is closest to the body temperature of the pig. In order to address the problem of inaccurate positioning of the ear root area in the thermal infrared image of the pig under motion due to changes in the pig's head posture and single pixel information, based on the research of automatic inspection and temperature measurement robots, it is proposed to establish an ear root area detection model through visible light images, and map the detection results of the model to the thermal infrared image with the same contour information after registration, achieve accurate localization of the pig ear root area in the thermal infrared image. This algorithm achieves the detection of key points in pig heads in visible light images by improving the YOLOv8 network. By analyzing the position information of key points in pig heads through light shadow projection and dynamic coordinate system adjustment methods, the pig head posture and adjustment angle are obtained. The visible light image of the pig's head after angle adjustment is redivided into ear root regions to correct the impact of pig movement on ear root region division. By using AKAZE and GMA algorithms to extract and register features from heterogeneous images, visible and thermal infrared images with the same contour and scale information are obtained. Finally, the detection results of the ear root region in the visible light image are mapped to the thermal infrared image. Through testing on 2650 datasets, the accuracy of key point and category detection was 99%, the number of key point detection model parameters decreased by 41%, and the registration error was only 1.6%. The accuracy of ear root localization in heterogeneous images reached over 99%, making it easy to achieve accurate temperature measurement.

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Section: Heterologous Image Registration Based On Contour and Feature...mentioning

confidence: 99%

Detection of ear root feature region in heterogeneous images based on pig head posture

2023

AJCIS

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“…In 2017, a number of studies were conducted; Peng et al [44] used AR technology in the power sector to improve operations and aid in training the operations staff of the substation power grid. This intelligent training system was able to increase the effectiveness of training and promote the use of emerging technologies.…”

Section: Electrical Energy Systems Applicationsmentioning

confidence: 99%

Augmented Reality in Maintenance—History and Perspectives

2023

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Augmented Reality (AR) is a technology that allows virtual elements to be superimposed over images of real contexts, whether these are text elements, graphics, or other types of objects. Smart AR glasses are increasingly optimized, and modern ones have features such as Global Positioning System (GPS), a microphone, and gesture recognition, among others. These devices allow users to have their hands free to perform tasks while they receive instructions in real time through the glasses. This allows maintenance professionals to carry out interventions more efficiently and in a shorter time than would be necessary without the support of this technology. In the present work, a timeline of important achievements is established, including important findings in object recognition, real-time operation. and integration of technologies for shop floor use. Perspectives on future research and related recommendations are proposed as well.

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“…In a study where AR technology is used in the electricity energy sector, a typical 220 kV transformer substation in Shanghai Electricity Grid was selected as a pilot application. AR models of primary and secondary equipment were created to improve the operations and MR training [19]. In 2017, the French electricity distribution company Edenis implemented an AR application consisting of a series of instructions in order to facilitate the use of low voltage control panels and medium voltage devices as well as to reduce possible errors.…”

Section: Introduction *mentioning

confidence: 99%

Fault Maintenance and Repair Application Based on Augmented Reality Technology in Electrical Distribution Systems

Hasançebi¹,

Yeğin

Karaarslan

2021

Kocaeli Journal of Science and Engineering

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This study presents an AR technology-based software that will work on mobile platforms and the pilot application of this software to solve the possible problems that may be experienced other than routine maintenance activities on protection/control panels and devices in SCADA centers. AR is essentially an information technology that provides the ability to present digital data and images in the same environment as our real world through its visualization, instruction/guidance, and interaction capabilities. Object recognition methods, necessary software, and infrastructure requirements are mentioned in this study in order to benefit from these advantages of AR technology correctly. Different scenarios have been created by using AR for possible failures in automation panels in a distribution center with a telemetry system. Finally, an exemplary scenario in the study is realized in a distribution center located in the SEDAŞ area of responsibility.

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Design and development of intelligent operation and maintenance training system for substation based on augmented reality

Cited by 5 publications

References 0 publications

Detection of ear root feature region in heterogeneous images based on pig head posture

Detection of ear root feature region in heterogeneous images based on pig head posture

Augmented Reality in Maintenance—History and Perspectives

Fault Maintenance and Repair Application Based on Augmented Reality Technology in Electrical Distribution Systems

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