Research on Self-Power Supply System of Inspection Robot for High-Voltage Power Transmission Lines

Wang, Peng; Liu, Feng; Wang, Guanqun; Wang, Kefei; Mei, Shengwei

doi:10.1109/isdea.2010.178

Cited by 10 publications

(5 citation statements)

References 1 publication

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“…Currently, the semi-autonomous and completely autonomous live working robots employed in substations and overhead wires are the most common. To perform the mission, a semi-autonomous live working robot requires human-computer interaction, as depicted in Existing robots used in power grid inspection are classified as transmission line inspection robots, inspection on cable, inspection on substation and inspection on power grid UAV (Unmanned Aerial Vehicle) [8][9][10][11], as illustrated in Figure 3. The optical, acoustic, electrical, and other characteristics of power grid information acquired by these four inspection robots is sent to a cloud server for processing and analysis in order to complete the inspection operation [13].…”

Section: Analysis and Comparison Of Live Working Modes On Traditional...mentioning

confidence: 99%

Live Working of Robots using Cloud Computing Technology

S.¹,

Ravikiran²,

Sahana³

2020

kjcs

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In the current operating modes used in working of live robots in industries, we cannot fulfill the computational power requirements needed by AI highly-precise algorithms. It's also challenging to handle the complex and large working environment, and cannot be used in a situation where a N number of robots are working simultaneously and generating huge data which has to be managed and controlled. In light of these flaws, this study compares and analyses both the operating modes of robots which are used in power grid inspection and working of robots used in industries, and presents an intelligent control technique for managing live working robots using cloud and edge computing module. The challenges that existed in the previous can be solved by deploying distinct components of the deep learning algorithm in cloud computing and edge terminals, the issues with working mode have been resolved. An example of live working robot situation in the substation is investigated. The findings reveal that the proposed intelligent control approach in this paper can meet the requirements. Artificial intelligence(AI), deep learning requires a lot of learning, computing power, and Self-learning, recognition, self-renewal, coordinated neural network control and other highly-precise control algorithm, and it can be used in a scenario with a lot of moving parts or a vast robots working simultaneously which generates large amount of data to be managed and controlled.

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Section: Analysis and Comparison Of Live Working Modes On Traditional...mentioning

confidence: 99%

Live Working of Robots using Cloud Computing Technology

S.¹,

Ravikiran²,

Sahana³

2020

kjcs

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show abstract

“…The continuous development and improvement of smart grid and dynamic capacity increase technology for transmission line real-time efficient monitoring process provides strong support, but at present, due to technical and cost constraints, there are single-point monitoring is the main, has not yet formed a network monitoring system and other issues, the transmission line online monitoring products and monitoring process of the level of intelligence, automation, interactivity is still to be improved, and need to be further improved to reduce the failure rate in the actual use of the process and to improve the system. Further improvement is necessary to reduce the failure rate, usage, and maintenance costs while actually using the process [4].…”

Section: Introductionmentioning

confidence: 99%

Automated monitoring of high-voltage transmission lines based on machine vision

Wang

2024

Applied Mathematics and Nonlinear Sciences

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This paper takes the automated monitoring of high-voltage transmission lines as the entry point and constructs an automated monitoring model of high-voltage transmission lines based on machine vision. Through the transmission equipment recognition algorithm to identify the type and location of the equipment in the inspection image, using image processing methods for the collected high-voltage transmission line image color image grayscaling and grayscale image stretching, and then grayscale image smoothing and segmentation, so as to achieve the identification of the location of high-voltage transmission line fault location. Simulation test for image processing and transmission equipment identification methods, and then carry out automated monitoring experiments with high-voltage transmission line conductor stranding as an example to verify the feasibility and reliability of the model in this paper. The results show that for the automatic detection of individual conductor strand breakage, the method of this paper detects the number of strand breakage is only 1-2 less or more than the actual number of strand breakage; there is a certain difference, but basically in line with the actual situation, and the method of this paper, on average, detects the efficiency of the method is faster than the traditional method by 5.69~7.18 s/m. The research to enhance the quality of automated monitoring of high-voltage power transmission lines has a certain application value.

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“…Zhao et al [3] proposed to use wind energy and solar energy to power the online monitoring equipment but also points out the instability due to weather influence. Peng et al [4] introduce the specific situations such as dark night, windless and sleety weather in which the system cannot guarantee stability and may even work discontinuously. Besides, the feedback of online monitoring equipment from icing and swing of the HVPL is not allowed to have any errors especially in these terrible circumstances [5].…”

Section: Introductionmentioning

confidence: 99%

Optimisation design of real‐time wireless power supply system overhead high‐voltage power line

Wang

Zhu

Wang

et al. 2018

IET Electric Power Applications

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Efficient and reliable power supply has been considered as the fundamentality of applying monitoring equipment overhead high-voltage power line (HVPL). Several kinds of energy harvesting devices are investigated and compared. A new power supply scheme, which integrates the online energy harvesting device and the wireless power transfer (WPT) system, is presented. Optimisation design of online energy harvesting device is analysed emphatically by taking both HVPL insulation distance and wireless power supply efficiency into account. For further increasing the harvested energy from power lines, this study discusses the design of specific device structure and the accurate calculation of maximum output power. It is found that essential parameters and exciting current angle contribute to more extracting energy. Meanwhile, in order to expand the transmitting distance with high efficiency, the WPT system with double relay coils is selected. The charging threshold voltage of the load can be further optimised under different transmitting distances by adopting an AC-DC voltage-doubling rectifier circuit. Simulation and experimental studies show that when the transmitting distance is >1 m, the monitoring equipment can also be charged in a reliable way, which also verifies the correctness and feasibility of the system.

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Research on Self-Power Supply System of Inspection Robot for High-Voltage Power Transmission Lines

Cited by 10 publications

References 1 publication

Live Working of Robots using Cloud Computing Technology

Live Working of Robots using Cloud Computing Technology

Automated monitoring of high-voltage transmission lines based on machine vision

Optimisation design of real‐time wireless power supply system overhead high‐voltage power line

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