Equipment Failure Detection Method of Substation Based on Tunnel Robot

Sun, Zhizhou; Liu, Xiaobo; Xu, Bo; Zhang, Shujing; Fu, Chongguang; Yang, Guang‐Fu; Li, Jian; Shao, Guangting; Zhang, Chuanyou

doi:10.1016/j.procs.2020.02.094

Cited by 13 publications

(6 citation statements)

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“…The substation inspection robot is an important means of auxiliary system monitoring. It relies on a variety of sensors to complete the inspection task of inspecting the substation and assists the operation and maintenance personnel to inspect the knife switch, insulating insulator, oil level gauge, and other equipment that are difficult to monitor [12]. The inspection robot integrates environmental perception, dynamic decision planning, and behavior control and execution and completes the risk elimination work of the substation through remote control.…”

Section: Literature Reviewmentioning

confidence: 99%

Working Condition Monitoring System of Substation Robot Based on Video Monitoring

Zhao

2022

Wireless Communications and Mobile Computing

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In order to realize intelligent video surveillance of substation, this paper presents a substation robot working state monitoring system based on video surveillance. In this paper, the intelligent monitoring system of substation robot working state is constructed by combining virtual reality technology. Through the cooperation of each unit in the system, the real-time monitoring of substation robot working state and the early warning of abnormal working state are realized. The system can transmit video data at a high frame rate to ensure the timeliness of video data transmission and clearly and smoothly present the virtual scene of substation robot work. It can realize the high-precision positioning measurement of the robot under different distances and speeds, obtain the working dynamic trajectory of the robot according to the measurement results, analyze its working state, and give an early warning in case of abnormal working state, so as to achieve the purpose of intelligently monitoring the working state of the substation robot. The experimental results show that each group of video data transmission frame rate of the system can reach 29 f/s and is relatively stable. The average transmission frame rate is 30.62 f/s. The video transmission frame rate is high, which can ensure the timeliness of video transmission. Conclusion. The designed substation intelligent video monitoring system has good output stability and reliability.

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Section: Literature Reviewmentioning

confidence: 99%

Working Condition Monitoring System of Substation Robot Based on Video Monitoring

Zhao

2022

Wireless Communications and Mobile Computing

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“…Further, mitigating the equipment failure rate in a substation is essential to ensure the safety and reliability of the power supply in the distribution network. Sun et al (2020) carried out a study on the use of robots extracting data from field sensors to monitor the operational status of substation equipment to provide fault detection. In the same context, a few studies have also focused on sophisticated technologies to improve performance and mitigate the negative implications or losses.…”

Section: Literature Reviewmentioning

confidence: 99%

Substation technology selection for environment efficient power distribution system in India: an integrated AHP-TOPSIS-based approach

Trivedi,

Tyagi,

Chichi

et al. 2023

IJESM

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Purpose This study aims to provide a scientific framework for the selection of suitable substation technology in an electrical power distribution network. Design/methodology/approach The present paper focuses on adopting an integrated multi-criteria decision-making approach using the Delphi method, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The AHP is used to ascertain the criteria weights, and the TOPSIS is used for choosing the most fitting technology among choices of air-insulated substation, gas-insulated substation (GIS) and hybrid substation, to guarantee educated and supported choice. Findings The results reveal that the GIS is the most preferred technology by area experts, considering all the criteria and their relative preferences. Practical implications The current research has implications for public and private organizations responsible for the management of electricity in India, particularly the distribution system as the choice of substations is an essential component that has a strong impact on the smooth functioning and performance of the energy distribution in the country. The implementation of the chosen technology not only reduces economic losses but also contributes to the reduction of power outages, minimization of energy losses and improvement of the reliability, security, stability and quality of supply of the electrical networks. Social implications The study explores the impact of substation technology installation in terms of its economic and environmental challenges. It emphasizes the need for proper installation checks to avoid long-term environmental hazards. Further, it reports that the economic benefits should not come at the cost of ecological degradation. Originality/value The present study is the first to provide a decision support framework for the selection of substation technologies using the hybrid AHP-TOPSIS approach. It also provides a cost–benefit analysis with short-term and long-term horizons. It further pinpoints the environmental issues with the installation of substation technology.

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“…In recent years, several advanced monitoring devices have been developed for substation patrol inspection, such as unmanned aerial vehicle (UAV) 3 , infrared device 4 , robot 5 and so on. Remote analysis and defect recognition of data images need the help of image recognition technology in the field of artificial intelligence 6 , 7 .…”

Section: Introductionmentioning

confidence: 99%

A new method based on YOLOv5 and multiscale data augmentation for visual inspection in substation

Chen,

Pan,

Chan

et al. 2024

Sci Rep

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Artificial intelligence has demonstrated notable advancements in the realm of visual inspection and defect detection in substations. Nevertheless, practical application presents challenges, with issues arising from the dynamic shooting environment and limited dataset resulting in suboptimal defect identification accuracy and instability. To address these concerns, a pioneering approach based on hybrid pruning YOLOv5 and multiscale data augmentation is proposed for enhancing defect detection in substations. Initially, an enhanced multiscale data augmentation method is proposed. The improved multiscale data augmentation mitigates the impact of the time-varying shooting environment on recognition accuracy and enhances defect detection precision. Subsequently, YOLOv5 is employed for training and detecting defects within multi-scale image data. To alleviate the potential destabilizing effects of YOLOv5’s large-scale parameters on model stability, a new model pruning method is implemented. This method strategically prunes parameters to bolster the model’s defect identification accuracy. The efficacy of the proposed methodology is evaluated through testing on substation defect images, confirming its effectiveness in enhancing defect detection capabilities.

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Equipment Failure Detection Method of Substation Based on Tunnel Robot

Cited by 13 publications

References 0 publications

Working Condition Monitoring System of Substation Robot Based on Video Monitoring

Working Condition Monitoring System of Substation Robot Based on Video Monitoring

Substation technology selection for environment efficient power distribution system in India: an integrated AHP-TOPSIS-based approach

A new method based on YOLOv5 and multiscale data augmentation for visual inspection in substation

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