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2022 International Workshop on Automation, Control, and Communication Engineering, IWACCE 2022

作者： Zeng, Weijie Deng, Hanjun Huang, Rui Wang, Zhi State Grid Hunan Electric Power Company Limited Changsha410000 China Hunan Provincial Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410000 China

ISBN: (纸本)9781510660915

There are a large number of air switches in substations, computer rooms and other places. It is often necessary to artificially change the opening and closing states of the air switches for specific tasks. Due to the high labor cost and potential safety hazards, it has great potential to implement edge-computing-based deep learning models in these scenarios. However, these scenarios have complex conditions and many electromagnetic interferences, and the long-term stable operation of deep learning models requires high virtual isolation technology involved in edge computing. In this context, this paper uses virtual isolation technology and deep learning model for air switch detection, uses the trained air switch detection model based on YOLOX deep learning framework to make mirror images, and completes isolation enhancement in the generation of mirror images. Besides, on this basis, a safe and efficient control decision-making scheme based on neural network is proposed. © 2022 SPIE. All rights reserved.

关键词： Electromagnetic pulse

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A DESIGN OF BOX-METER BINDING SYSTEM FOR POWER METERING BOX 22

A DESIGN OF BOX-METER BINDING SYSTEM FOR POWER METERING BOX

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3rd International Conference on Control, Robotics and intelligent System, CCRIS 2022

作者： He, Xing Huang, Rui Yu, Minqi Zeng, Wenwei Zhang, Suihan State Grid Hunan Electric Power Company Limited Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha Hunan410000 China College of Electrical and Information Engineering Hunan University Changsha Hunan410000 China State Grid Hunan Electric Power Company Limited China and Hunan Prov. Key Lab. of Intelligent Electrical Measurement and Application Technology China

ISBN: (纸本)9781450396851

At present, most of the topological identification and binding methods of box tables in power metering boxes are supported by the later platform algorithm. When installing or replacing electricity meters is installed, it is easy to lead to the wrong identification of box-meter binding. In this paper, the MCU and the multi-channel RFID identification board to obtain the asset information in the meter label, record the asset information data analysis and forward, and realize the accurate search, positioning, identification, recording, binding and other functions in the metering box. After the realization of the table and box relationship binding, the system establishes the relationship table internally, uploads the box and table relationship table to the energy controller through HPLC (High Performance Liquid Chromatography), and establishes the box and table ledger data of each metering box in the platform area. Through this method, the binding relationship between the individual meter and the corresponding position in the box is realized, which solves the problems of the meter management chaos and the box meter position relationship in the operation and maintenance process, which is of great significance to the humanized and efficient development of smart meters. © 2022 ACM.

关键词： Radio frequency identification (RFID)

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Design and application of power customer label application effect evaluation mechanism 7

Design and application of power customer label application e...

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2022 7th International Conference on Electronic technology and Information Science, ICETIS 2022

作者： Peng, Yuanhao Ye, Zhi Shen, Haoping Peng, Haijun State Grid Hunan Electric Power Limited Company Changsha410004 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410004 China

ISBN: (纸本)9783800757794

Customer tag is a way to know customers. It is a feature identification highly refined and summarized from data, which can support efficient decision-making. With the deepening application of customer labels in various businesses of power companies, how to realize the continuous optimization of inherent customer labels has become a difficulty. Focusing on the main line of power customer label operation evaluation analysis optimization, this paper constructs a single label application effectiveness evaluation system and label scenario application evaluation system, analyzes the existing labels based on the evaluation system, and establishes rule models and exception identification models such as label optimization recommendation, offline reminder, promotion reminder and exception monitoring based on the analysis. Effectively realize the systematization and scientific diagnosis of label application, and promote the comprehensive and efficient development of evaluation and construction. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Sales

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Online Monitoring Method for Metering Errors in Charging Facilities Based on Energy Conservation and Double Metering Comparison 23

Online Monitoring Method for Metering Errors in Charging Fac...

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Proceedings of the 6th International Conference on Information Technologies and electrical Engineering

作者： Jing Yang Cong Wu Zhi Wang Chao Liu Mouhai Liu State Grid Hunan Electric Power Corporation Limited China and Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology China

ISBN: (纸本)9798400708299

The electric energy metering device of charging facilities is easily affected by factors such as power quality, abnormal fluctuations in fixed loss in the station area, and distortion signals, and it is difficult to ensure the accuracy of electric energy measurement of charging facilities. In order to ensure the fairness, impartiality, scientific accuracy of measuring charging facilities, and enhance the accuracy of measurement, a hardware and software-based method combining energy conservation and comparison of primary and secondary metering modules is proposed for online monitoring of charging pile errors. Firstly, the measurement errors of each charging pile are calculated based on energy conservation. Secondly, for suspected charging piles with excessive errors, a secondary judgment is conducted using the primary and secondary metering module approach to enhance the robustness of online error monitoring. This method has the advantages of simple structure, low cost, high monitoring efficiency, and accuracy.

关键词： Charging facilities Energy conservation Metering errors Power quality

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Research on Comprehensive Performance Evaluation Method for On-site Operation of Electricity Information Acquisition Terminal 2

Research on Comprehensive Performance Evaluation Method for ...

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2nd International Conference on Laser, Optics and Optoelectronic technology, LOPET 2022

作者： Deng, Hanjun Guo, Guang Liu, Hongying Zeng, Taoming Peng, Pei Yin, Xiaobo Liu, Mouhai State Grid Hunan Electric Power Co. Ltd Hunan Province Changsha410000 China DHunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Hunan Province Changsha410000 China

ISBN: (纸本)9781510657588

Aiming at the problem of insufficient operation time and deviation of the equipment’s factory evaluation index, the comprehensive performance of the on-site operation of the electricity information acquisition terminal is evaluated and designed in this paper. The performance analysis of the acquisition equipment is completed through the combined device of the nuclear capacity device evaluation structure, and the cluttered information of the acquisition platform is integrated. Use the BF5R feedback line to transfer to the actual power station, responsible for the distribution of the transfer data and the feedback of the information. The DC decoupling improved algorithm is used to realize the billing system of equipment acquisition electric energy, which is used as an important index of the evaluation system. Through the IES VE software to simulate the performance evaluation process of the equipment, the experiment shows that the maximum collected power of the designed test equipment is 6351.6kWh, the effective operation time is 18.2h, and the accuracy of the evaluation index is 98.5%, which proves the feasibility of the design. © 2022 SPIE.

关键词： Software testing

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Multi-State Recognition Method of Substation Switchgear Based on Image Enhancement and Deep Learning

Multi-State Recognition Method of Substation Switchgear Base...

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2022 International Conference on Mechatronics and Automation technology, ICMAT 2022

作者： He, Xing Huang, Rui Yu, Minqi Zeng, Wenwei Zhang, Suihan State Grid Hunan Electric Power Company Limited Hunan Changsha410000 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410000 China College of Electrical and Information Engineering Hunan University Hunan Changsha410000 China

ISBN: (纸本)9781643683669

s. Since the current substation robot inspection process exists in the high-voltage switchgear status recognition is highly susceptible to the influence of complex environments such as low image contrast, light clutter interference, and blurred reading status details, this paper proposes an image enhancement and deep learning based substation switchgear state recognition method. A multi-scale Retinex-based image enhancement is proposed to enhance the adaptability of outdoor switchgear images to light changes;improve the YOLOx target detection network to introduces a lightweight ECA attention mechanism without dimensionality reduction based on the original YOLOx model's backbone network CSPDarknet, allowing the model to learn classification features while also focusing on learning spatial features. The experimental results show that the improved network can accurately identify the boundary information of anomalies, and the quality of its prediction results will not be reduced for noise-containing data, and the network shows strong generalization, robustness, accuracy and rapidity, providing certain conditions for realizing substation equipment condition monitoring. © 2022 The authors and IOS Press.

关键词： Image enhancement

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Non-contact optical dynamic measurements at different ranges:a review

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Acta Mechanica Sinica 2021年第4期37卷 537-553,I0001页

作者： Yu Fu Yang Shang Wenxin Hu Bin Li Qifeng Yu Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen UniversityShenzhen 518060China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation College of Aerospace Science and EngineeringNational University of Defense TechnologyChangsha 410073China

Optical dynamic measurements are widely used for non-contact vibration,continuous deformation,or moving *** measurement techniques were developed for different deformation *** paper reviews three types of technique for different measurement ranges:interferometric techniques for deformation or vibration(nanometer to submillimeter amplitude)whose measurement accuracies rely on phase extraction of interferometric signal;imaging based techniques for deformation or vibration(micrometer to centimeter amplitude)with the aid of moire,structured light,and man-made speckles,whose sensitivities is from 1/100 to 1/10 pixel;and videometrics for large deformation or movement detection(greater than centimeter amplitude).Many research groups have improved measurement capabilities for these three techniques to meet particular industrial application requirements.

关键词： Vibration measurement Laser interferometry Digital image correlation High-speed imaging Videometrics

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Traffic Signal Light Recognition Based on Transformer 12th

Traffic Signal Light Recognition Based on Transformer

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12th International Conference on Computer Engineering and Networks, CENet 2022

作者： Ou, Yangze Sun, Yaqi Yu, Xiaozhong Yun, Liuqing College of Computer Science and Technology Hengyang Normal University Hunan Hengyang421008 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hunan Hengyang421008 China

ISBN: (纸本)9789811969003

With more and more developed technology, unmanned driving technology has gradually entered people’s vision. Many cars are now equipped with self-parking technology, which allows the vehicle to enter the garage through a pre-set path without manual operation. At the same time, the traffic light identification mentioned in this paper can also be used for driverless cars, and can also be combined with manual driving to reduce the probability of traffic accidents caused by running red lights. This design is based on Transformer and Resnet convolutional neural network, using feature extraction technology. First of all, the data set used in this algorithm is self-made COCO data set. Then, the corresponding training is carried out to obtain the corresponding model of traffic signal light recognition. Finally, the trained model is used to predict the relevant traffic signal light. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolution

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Deep Learning Image Steganalysis Method Fused with CBAM 12th

Deep Learning Image Steganalysis Method Fused with CBAM

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12th International Conference on Computer Engineering and Networks, CENet 2022

作者： Chen, Huasuo Jiao, Ge College of Computer Science and Technology Hengyang Normal University Hunan Hengyang421002 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hunan Hengyang421002 China

ISBN: (纸本)9789811969003

Steganography is a critical technical tool for preventing the disclosure of sensitive information. The detection performance of picture steganography algorithms based on deep learning has to be enhanced in tandem with the ongoing improvement of adaptive steganography algorithm performance. In this paper, a new model SRNet-CBAM based on SRNet fusion channel attention module and spatial attention module was presented to address the challenge of adaptive steganography analysis and the difficulty of model focused analysis for picture favorable regions. In three different embedding rates of WOW, S-UNIWARD, and HUGO algorithms, the experimental results reveal that the SRNet-CBAM model increases the accuracy of the SRNet model by 1.36% on average. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Steganography

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Traffic Sign Recognition System Based on YOLOv5 12th

Traffic Sign Recognition System Based on YOLOv5

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12th International Conference on Computer Engineering and Networks, CENet 2022

作者： Zhang, Lin Sun, Yaqi Chen, Wenli Liang, Xiaoman College of Computer Science and Technology Hengyang Normal University Hunan Hengyang421008 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hunan Hengyang421008 China

ISBN: (纸本)9789811969003

Traffic sign recognition is an important part of intelligent driving and an important content of intelligent transportation system. However, the current traffic sign detection algorithm has some problems, such as high network complexity, low recognition efficiency, poor recognition accuracy, and difficult edge deployment. Aiming at the above problems, this paper proposes to use YOLOv5 single-stage target detection algorithm to identify and detect traffic signs. The input terminal of YOLOv5 enhances and improves adaptive image scaling through Mosaic data, thus reducing information redundancy, reducing computation and improving target detection speed. The CSP structure of Backbone solves the problem of large amount of calculation in reasoning design from the Angle of network structure design. By adopting FPN + CPN structure, the fusion ability of network features is strengthened. Through hardware and software integration design, YOLOv5s model can be deployed to edge equipment, thus forming a set of traffic sign target detection system with fast inference speed, strong anti-interference ability and high identification accuracy. The results show that the overall identification accuracy of traffic signs is up to 98% by adjusting the parameters and improving the algorithm. Through testing 676 images, the recognition accuracy is 96.15% and the average detection speed is 19 frames/s, which meets the requirements of real-time traffic sign detection. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Traffic signs

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