Advanced automation system for charging electric vehicles based on machine vision and finite element method

Talaat, M.; Arafa, Ibrahim T.; Metwally, Hamid

doi:10.1049/iet-epa.2020.0380

Cited by 18 publications

(10 citation statements)

References 33 publications

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“…The real partial discharge signal can be obtained by comparing and analyzing the frequency collected by resonance with that collected by ultrasonic, which can effectively avoid the result error caused by inaccurate signal acquisition caused by background noise interference. The accuracy of partial discharge signal acquisition is guaranteed to the maximum extent [14].…”

Section: Methodsmentioning

confidence: 99%

Intelligent Online Partial Discharge Detection and Sensor

Zhu

Chen

Liu

et al. 2022

Wireless Communications and Mobile Computing

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In order to realize the online monitoring of partial discharge in solid switch cabinet, obtain the real partial discharge power and evaluate the insulation status of the switch cabinet, an online detection device based on partial discharge in solid switch cabinet was proposed. The ultrasonic sensor and resonant circuit used by the device to collect the high frequency signal generated when partial discharge occurs and the high frequency signal was converted into the voltage signal. The voltage signal was sent to the STM32 main control chip after data preprocessing and analog-to-digital conversion. Through the conversion of the collected electrical data, the local discharge quantity was obtained and displayed on LCD screen in real time. If the detected discharge power was greater than a set value, an alarm would be automatically issued to remind the on-site power personnel to pay attention to it and prevent major power accidents caused by insulation damage. From the experimental results, it was found that the value of intermittent partial discharge collected by the developed device was 63pC, which was basically consistent with the DMS data. The experimental results showed that the device had the characteristics of simple operation and signal processing speed, high testing data real-time, and low cost, which was suitable for the real-time monitoring of the high voltage equipment in internal partial discharge. It was convenient for operators to maintain the equipment and ensure the normal operation of the equipment, which was of great significance to improve the reliability of power supply.

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Section: Methodsmentioning

confidence: 99%

Intelligent Online Partial Discharge Detection and Sensor

Zhu

Chen

Liu

et al. 2022

Wireless Communications and Mobile Computing

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“…In image processing, PCNN can be widely used in digital image segmentation, edge detection, retrieval, enhancement, fusion, pattern recognition, target classification, denoising, and other processing. It can also be combined with other signal processing technologies such as wavelet theory, mathematical morphology, and fuzzy processing, and is more widely used in image and other related processing [14,15]. A PCNN is a feedback network composed of several interconnected neurons.…”

Section: Basic Working Principle and Algorithm Improvement Of Pcnnmentioning

confidence: 99%

Automatic Recognition and Detection System Based on Machine Vision

Wang

Cui²

2022

Journal of Control Science and Engineering

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In order to realize the automation of part identification and detection and the intellectualization of part production, this paper proposes a method of automatic identification and detection of parts based on machine vision (overall method). This paper combines machine vision with motion control theory and uses pulse coupled neural network (PCNN) edge detection and recognition algorithms to preliminarily design a set of machine vision automatic recognition and detection systems and carry out detection and recognition experiments on small parts such as relay covers. The experimental results show that the whole process of part size detection and recognition, including part feeding, image acquisition, size recognition, part screening, and reset of the experimental platform, can be completed within 5 s and can carry out high-precision dynamic recognition and detection when the part moves at a speed of 1 m/s. Through the correction and compensation of dynamic error, the detection accuracy of small rectangular parts with a length of 28.87 mm and a width of 12.36 mm can reach 0.04 mm. The visual inspection and recognition automation system improves the automation degree of parts inspection, improves the dimensional accuracy, optimizes the robustness of the system, and finally realizes the real-time screening and classification of parts and the efficient production of parts.

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“…It collects relevant literature materials, analyzes the research status and development forms related to the subject content, and uses the analysis to find a theoretical basis. It then summarizes the obtained content, which will provide a theoretical basis for subsequent research [ 17 ].…”

Section: Methodsmentioning

confidence: 99%

The Influence of Artificial Intelligence on Visual Elements of Web Page Design under Machine Vision

Wang

2022

Computational Intelligence and Neuroscience

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As the presentation form of the web, web pages contain a lot of important information in web design. As many information carriers, such as sound, graphics, and text, web pages have been integrated and have played a good role in visual transmission. It inherits many features of traditional graphic design, it can be said that it extends graphic design, and web design is richer in visual performance. At present, the research on web design in China is mainly background research. There is little research on the front-end aspects of web pages, especially in the aspect of plane vision. The lack of research in this area limits the development of web design. This paper introduces the relevant situation of web design and then analyzes the relevant elements in web design, such as visual elements, and their innovative applications. In addition, it focuses on the presentation form of visual elements in web design and summarizes the development trend of visual elements in contemporary web interface design. It proposes the strategy of innovation and application of visual elements in web design. The author hopes that, through the research of this paper, it will lay a theoretical foundation for the development of web design in the future. At the same time, this paper uses the NCMF algorithm in artificial intelligence to identify the visual elements of web pages, thereby improving the efficiency of web page design. Experiments show that the Chaos accuracy rate of the NCMF algorithm in the CETD dataset is 73.3482%.

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Advanced automation system for charging electric vehicles based on machine vision and finite element method

Cited by 18 publications

References 33 publications

Intelligent Online Partial Discharge Detection and Sensor

Intelligent Online Partial Discharge Detection and Sensor

Automatic Recognition and Detection System Based on Machine Vision

The Influence of Artificial Intelligence on Visual Elements of Web Page Design under Machine Vision

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