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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Jiang, Zhuofeng Chen, Tianxiang Cai, LeHui Gu, Hong Chengdu University of Technology College of Nuclear Technology and Automation Engineering ChengDu China

ISBN: (纸本)9798350391329

As an important equipment in substations, 110kV current transformers play a role in measurement, control, and protection. Insulation defects are prone to occur during operation, and preventive tests should be conducted regularly on current transformers. By measuring the tan δ of 110kV current transformers under different temperature and humidity conditions, the existing temperature and humidity conversion comes from the former Soviet Union. Due to changes in equipment materials, structures, etc., the original conversion factor may not be applicable now. The experiment studied the problem of the influence of temperature and humidity on the current transformer tanδ due to the lack of on-site measurement. The experimental results were statistically analyzed using data analysis software such as Matlab, and a method for correcting the influence of temperature and humidity on the measurement results was obtained through Gauss Newton iteration. This provides a reference for on-site judgment of the insulation condition of current transformers. © 2024 IEEE.

关键词： MATLAB

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Quantitative algorithm for airborne gamma spectrum of large sample based on improved shuffled frog leaping-particle swarm optimization convolutional neural network

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nuclear Science and Techniques 2023年第7期34卷 242-252页

作者： Fei Li Xiao-Fei Huang Yue-Lu Chen Bing-Hai Li Tang Wang Feng Cheng Guo-Qiang Zeng Mu-Hao Zhang College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610000China Airborne Survey and Remote Sensing Center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In airborne gamma ray spectrum processing,different analysis methods,technical requirements,analysis models,and calculation methods need to be *** meet the engineering practice requirements of airborne gamma-ray measurements and improve computational efficiency,an improved shuffled frog leaping algorithm-particle swarm optimization convolutional neural network(SFLA-PSO CNN)for large-sample quantitative analysis of airborne gamma-ray spectra is proposed *** method was used to train the weight of the neural network,optimize the structure of the network,delete redundant connections,and enable the neural network to acquire the capability of quantitative spectrum *** full-spectrum data processing,this method can perform the functions of energy spectrum peak searching and peak area *** network training,the mean SNR and RMSE of the spectral lines were 31.27 and 2.75,respectively,satisfying the demand for noise *** test the processing ability of the algorithm in large samples of airborne gamma spectra,this study considered the measured data from the Saihangaobi survey area as an example to conduct data spectral *** results show that calculation of the single-peak area takes only 0.13~0.15 ms,and the average relative errors of the peak area in the U,Th,and K spectra are 3.11,9.50,and 6.18%,indicating the high processing efficiency and accuracy of this *** performance of the model can be further improved by optimizing related parameters,but it can already meet the requirements of practical engineering *** study provides a new idea for the full-spectrum processing of airborne gamma rays.

关键词： Large sample Airborne gamma spectrum(AGS) Shuffled frog leaping algorithm(SFLA) Particle swarm optimization(PSO) Convolutional neural network(CNN)

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A survey of geothermal power generation combined with renewable energy for low carbon emissions

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Clean Energy 2024年第3期8卷 138-146页

作者： Xuyang Liu Dongsheng Cai Chiagoziem CUkwuoma Qi Huang Olusola Bamisile College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengduSichuan P.R.China Electrical Engineering Department Southwest University of Science and TechnologyMaiyangSichuan P.R.China

At present,industrial development is heavily dependent on traditional fossil energy,which has had an increasingly serious impact on the *** and renewable energy has received extensive attention and its proportion in daily life has gradually *** a clean and renewable energy source that is not affected by changes in weather and seasons,geothermal energy has developed rapidly in recent years and has received increasing *** to reports,the total installed capacity of geothermal power generation in the world in 2020 was 15950 MW-an increase of~27%over *** the end of 2019,the total installed capacity for global geothermal direct use was 107727 MW-an increase of 52.0%compared with 2015;the total annual energy use was 1020887 TJ(283580 GWh)-an increase of 72.3%over *** the investigation of geothermal power generation technology in recent years,the characteristics and shortcomings of various power generation methods are *** the same time,this review analyzes the characteristics of geothermal energy and other renewable-energy(solar energy,water energy)coupling power generation,and analyzes the principles and characteristics of geothermal energy and various new-energy coupling power generation *** investigation and analysis,this review provides a complete understanding of various geothermal power generation technologies and provides insights into the future development direction.

关键词： geothermal power generation solar energy water energy combined power generation

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Enhancing traffic light recognition in autonomous vehicles: A novel convolutional neural network approach for fog removal using efficient channel attention 4

Enhancing traffic light recognition in autonomous vehicles: ...

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4th International Conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Ji, Shuai Zhang, Huangnian Dong, Xingwen The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Adverse environmental conditions such as haze, rain, and dust can significantly impair visibility for vehicles in motion, leading to blurred vision. Traditional de-fogging techniques often encounter limitations, including reliance on pre-existing assumptions, color distortion, and inadequate real-time performance. Consequently, these methods may fail to effectively distinguish traffic light images post-de-fogging, thereby hindering target recognition in autonomous driving systems. This study introduces a convolutional neural network that integrates deep and shallow feature fusion utilizing the Efficient Channel Attention mechanism. By employing an atmospheric scattering model, shallow features from fogged images are extracted through convolutional layer operations, while deep features are obtained using parallel multi-scale convolution kernels. The integration of shallow and deep features is achieved through a series of fusion steps, enhanced by the application of an effective channel attention mechanism. Ultimately, a transmittance map corresponding to the fog map is derived through nonlinear regression, facilitating the recovery of fog-free images and improving the recognition capabilities of the YOLOv8 model. Experimental results demonstrate that this approach effectively identifies traffic light targets during simulations of vehicles navigating traffic intersections. Furthermore, the quality of fog removal achieved by this method surpasses that of other algorithms, as evidenced by both subjective evaluations and objective analyses. © 2025 SPIE.

关键词： Convolutional neural networks

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Implementation of a wristwatch for dose measurement based on CsI detector 4

Implementation of a wristwatch for dose measurement based on...

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4th International Conference on Mechanical, Electronics, and Electrical and automation Control, METMS 2024

作者： Chen, Jiongrui Qin, Zhangjian Zhao, Chengfeng College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

We have implementation a wristwatch that utilizes a Silicon Photomultiplier (SiPM) and a CsI(Tl) crystal for radiation dose rate detection. Compared to traditional personal dosimeters, it offers advantages such as high detection efficiency and portability. The measurement module incorporates a scintillation detector, a composite material comprised of CsI(Tl) crystal and SiPM, complemented by a signal conditioning module that boasts a pulse shaping circuit. The wristwatch, utilizing the functionalities of the CH579M microcontroller and advanced design algorithms, can rapidly respond to sudden fluctuations in environmental radiation levels. After testing, the detector's signal-to-noise ratio was measured at 12 dB, with a pulse width of 25 µs. The actual measurement range of the wristwatch is from 0. 1 to 250 μSv/h. © 2024 SPIE.

关键词： Signal to noise ratio

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Research on the Time of Fire Initiation Caused by Tree Line Faults Under 35kV Transmission Lines 14

Research on the Time of Fire Initiation Caused by Tree Line ...

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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Yang, Haohan Chen, Tianxiang Zeng, Yi Wang, Zheng The college of Nuclear Technology and Automation Engineering Chengdu University of Technology Cheng Du China

ISBN: (纸本)9798350391329

In recent years, forest fires caused by transmission line tree line faults occur frequently, transmission line tree line faults affect the safety and reliability of power grid operation, a serious threat to the safety of natural resources and people's property. In this paper, for the 35kV transmission line tree line faults caused by hill fire, built a 35kV line tree line fault experimental platform, in the capacitance current of 248 mA and 132 mA conditions, respectively, selected bamboo, pine and cedar three typical trees as a research sample, to carry out the three kinds of trees tree line fault fire time experiments. The burning phenomena, charring channels, and infrared images of different trees were recorded and analyzed, and the corresponding laws were drawn up to summarize the longest and shortest fire starting times of different capacitance currents and different trees. The research in this paper can provide technical reference for the development of measures to prevent fire caused by tree line faults in 35kV transmission lines. © 2024 IEEE.

关键词： Infrared imaging

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Experimental Study on the Effect of Temperature on tan δ Measurement of 110 kV Voltage Transformer 14

Experimental Study on the Effect of Temperature on tan δ Me...

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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Gu, Hong Chen, Tianxiang Cai, Lehui Jiang, Zhuofeng The college of Nuclear Technology and Automation Engineering Chengdu University of Technology Cheng Du China

ISBN: (纸本)9798350391329

Voltage transformer as a substation important equipment, assuming the role of measurement, control and protection. Equipment in the operation process is susceptible to temperature and other factors that cause insulation defects, need to carry out regular insulation preventive testing. In this paper, we take 110 kV series-type voltage transformer as the research object, and use four different wiring methods to explore the changes of tanδ value and capacitance under different ambient temperatures, insulating oil temperatures, and insulating oil moisture conditions, to verify the applicability and reasonableness of the relevant values in the Regulations, and to provide an effective basis for the series-type voltage transformer to determine the insulation faults of the equipment through the tanδ value. The results show that the tanδ value increases with the rise of temperature under different wiring methods, while the capacitance is basically unchanged;the end shielding method is the most sensitive to the moisture of insulating oil under different temperature conditions;when the insulation is normal, the conventional inverse wiring is more sensitive to the temperature change;when the insulation is faulty, the conventional positive wiring is more sensitive;to determine whether there are insulation defects of voltage transformers should be measured by the tanδ value in lower temperature as the main criterion, and the Kegulations' will be used to determine whether there are insulation defects of the series type voltage transformer through the tanδ value. Judgment of whether the voltage transformer insulation defects should be measured at lower temperatures tanδ as the main criterion, Kegulations' in the relevant tanδ value criterion should be adjusted in a timely manner. © 2024 IEEE.

关键词： Capacitance

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A model for image super-resolution based on Swin Transformer 7

A model for image super-resolution based on Swin Transformer

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7th International Conference on Computer Information Science and Application technology, CISAT 2024

作者： Wang, Yukun Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu610059 China

ISBN: (纸本)9798350375107

Biological evolution has deepened our understanding of nature. Since the advent of civilization, humans have continually explored ways to record what they see and hear, from cave sketches to camera photography, with clarity being a consistent goal. Image super-resolution technology has made significant progress, but early methods like interpolation and filtering couldn't effectively restore details. Traditional convolution methods require high computational and storage resources, limiting their use in hardware-constrained scenarios. Therefore, finding a method that reduces computational resources while ensuring effectiveness is crucial. This paper proposes the Residual Swin Transformer Block based on the Swin Transformer and designs the SR-Swin deep learning model for super-resolution image processing. Experiments show it achieves an average PSNR value of 30.6 dB, indicating good performance. © 2024 IEEE.

关键词： deep learning Image Super Resolution Swin Transformer

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Characterization of the Effect of Different Flame Clusters on Gap Leakage Current Under 10Kv Line 14

Characterization of the Effect of Different Flame Clusters o...

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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Zeng, Yi Chen, Tianxiang Wang, Zhen Yang, Haohan Chengdu University of Technology The college of Nuclear Technology and Automation Engineering Cheng Du China

ISBN: (纸本)9798350391329

In recent years, wildfires in the corridors of transmission and distribution lines have occurred frequently, posing a serious threat to the stable operation of the power grid. To study the influence of flame cluster number on the leakage current characteristics of gaps in 10 kV lines, experiments were conducted on the discharge characteristics of a 12 cm wire-board gap under different vegetation flame cluster conditions. The variations in leakage current amplitude under different capacitive current conditions were analyzed, clarifying two discharge forms under flaming conditions. The results indicate that the leakage current in single and multiple cluster vegetation flame conditions is inversely correlated with capacitive current and shows a negative correlation with the ash content of vegetation. Under capacitive currents of 1A and 5A, breakdown occurs in the gap under straw flame conditions, attributed to the highest ash and burning particle content in the straw. This demonstrates that temperature is not the primary factor affecting gap breakdown under straw flame conditions, with ash content being dominant. The findings provide technical references for using electrical signals from lines to warn of wildfires beneath and analyze the causes of incidents. © 2024 IEEE.

关键词： Premixed flames

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Research on the Characteristics of Leakage Current Changes in Tree Line Faults of 10Kv Distribution Lines 14

Research on the Characteristics of Leakage Current Changes i...

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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Wang, Zheng Chen, Tianxiang Yang, Haohan Zeng, Yi The college of Nuclear Technology and Automation Engineering Chengdu University of Technology Cheng Du China

ISBN: (纸本)9798350391329

There are numerous cases of forest fires caused by tree line faults in distribution lines, and it is of great significance to study the characteristic signals when tree line faults occur to prevent mountain fire accidents. In this paper, through theoretical analyses and the construction of real experimental platform, we studied the change rule of leakage current when single-phase tree line fault occurs in different trees. Through the single-phase tree line fault experiment, the relationship between leakage current and tree species, capacitive current to ground and water content when different trees touch the line is studied. The results of the study show that: the occurrence of single-phase tree line fault leakage current for the first time to reach the maximum value of time and tree species, the first time to reach the maximum value of the water content of trees and ground capacitance related. © 2024 IEEE.

关键词： Water content

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