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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...

引用

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...

引用

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

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

引用

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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Learning Situation Risk Cognition and measurement Based on Data-Driven 17th

Learning Situation Risk Cognition and Measurement Based on D...

引用

17th International Conference on Computer Science and Education, ICCSE 2022

作者： Mi, Chunqiao Deng, Qingyou Zhao, Changhua Yin, Dong Liu, Yiwen School of Computer and Artificial Intelligence Huaihua University Hunan Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China

ISBN: (纸本)9789819924455

At present, online teaching has become more and more popular especially in the context of the current epidemic, and quality governance has become the internal needs of modern education development, while there is no simple and easy to use learning situation risk cognition method for specific online teaching class. In order to deal with this problem, in this study a data-driven method of learning situation risk cognition and measurement for online teaching is provided, which uses student initiative degree, concentration degree, duration degree and interaction degree to measure comprehensive learning effective degree and reflect student learning situation risk in an online class. Besides, normalized score earned by student in knowledge point test after online class is used to validate the calculation method designed, and the obtained results show that it is promising and easy to calculation. It provides a basis for decision making of students’ learning situation risk early warning and also provides a data-driven management method for the guarantee of online teaching quality, which has both academic and practical significance. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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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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Development and implementation of air switch detection system based on docker technology

Development and implementation of air switch detection syste...

引用

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 Method and System for Evaluating Health Status of Low-voltage Power Supply Lines Based on Clustering Algorithm 4

A Method and System for Evaluating Health Status of Low-volt...

引用

4th International Conference on Information Technologies and electrical Engineering, ICITEE 2021

作者： Yu, Minqi Huang, Rui Liu, Qin Zeng, Wenwei Yang, Maotao Grid Hunan Electric Power Corporation Limited China Hunan Province Key Laboratory Of Intelligent Electrical Measurement And Application Technology China

ISBN: (纸本)9781450386494

In order to solve the problems of complex evaluation process and slow processing speed of existing low-voltage power supply line health evaluation methods, an evaluation method of low-voltage power supply lines health status based on Fuzzy C-Mean (FCM) clustering algorithm and Euclidean distance is proposed. First, the voltage and current values before and after the voltage and current changes are collected according to the equivalent circuit diagram of the low-voltage power supply lines, the loop impedance is obtained by the voltage and current values before and after the change. Then the loop impedance of a single user is clustered using the FCM clustering algorithm to find out the data that may have abnormal health conditions. Finally, based on the Euclidean distance, the above-mentioned data that may have abnormal health conditions are analyzed again to further determine whether the line is abnormal. The results of the case analysis show that this method has the advantages of accurate impedance data measurement, less workload, and ensuring normal power supply for users. © 2021 ACM.

关键词： Clustering algorithms

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A Comprehensive Analysis Method for Optimal Configuration of Smart Meter Data Collector Based on PSO-BP Algorithm 4

A Comprehensive Analysis Method for Optimal Configuration of...

引用

4th International Conference on Information Technologies and electrical Engineering, ICITEE 2021

作者： Yu, Minqi Shen, Liman Yang, Maotao Xie, Linjin He, Xing Wei, Shumin Grid Hunan Electric Power Corporation Limited China Hunan Province Key Laboratory Of Intelligent Electrical Measurement And Application Technology China

ISBN: (纸本)9781450386494

Aiming at the current electric power industry's problems related to the unreasonable configuration of smart meter data collectors and the smart meter measurement technology, this paper proposes a comprehensive analysis method for the optimal configuration of smart meter data collectors based on the PSO-BP neural network prediction model. Through the analysis of historical data in the station area, PSO is used to optimize the index. The database is established to import the BP neural network algorithm and training, and then the prediction of the station area to be configured with the data collector is completed. The experimental case proves that the above steps can reasonably configure the collector in the station area and optimize the data collection of the smart meter. While realizing convenient and effective data transmission, it also guarantees a certain degree of economy. © 2021 ACM.

关键词： Particle swarm optimization (PSO)

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Research and Expectation of a New Generation of Smart Energy Meter based on IR46 Standard 12

Research and Expectation of a New Generation of Smart Energy...

引用

12th International Conference of Information and Communication technology, ICTech 2023

作者： Xu, Wenlin Zhang, Peng Zeng, Weijie Liu, Chao Liu, Xi Wang, Xiangyu State Grid Hunan Electric Power Limited Company Changsha China State Grid Hunan Electric Power Limited Company Power Supply Service Center Metrology Center Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China Power Supply Service Center Metrology Center State Grid Hunan Electric Power Limited Company Changsha China

ISBN: (纸本)9798350332919

With the acceleration of the construction of 'Smart Grid' and 'Advanced Metering Infrastructure (AMI)' worldwide, smart energy meter, as a key sensor and measurement point distributed on the network, should have functions such as communication, load control, online upgrade, parameter protection, legal measurement and non-metering partial isolation in addition to basic energy measurement. To this end, China newly revised JJF 1245-2019 standard fully adopts the 'Active Energy Meter' (IR46) formulated by the International Legal Metrology Organization, and stipulates the software and hardware requirements and type certification of the new generation of smart energy meters. This paper first discusses the requirements of a new generation of smart energy meters, compares the differences between IR46 and Chinese energy meter standard systems, introduces some key technologies of smart energy meters that support IR46 standards, and finally expounds the next research direction and application prospects of IR46 smart energy meters. © 2023 IEEE.

关键词： Advanced metering infrastructures

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Implement of Local Trip Detection and intelligent Repower Method of Smart Meters

Implement of Local Trip Detection and Intelligent Repower Me...

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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Longmin Bu Hong Chen Wentao Deng Jiachen Zhong Hunan Province Key Laboratory Intelligent Electrical Measurement and Application Technology Changsha China College of Artificial Intelligence Nanjing Agricultural University Nanjing China

As China continues to strengthen its focus on its “double carbon” development goals, the power industry urgently needs to promote industrial restructuring to improve customer service quality. Among them, trip detection and quick repower work have been essential to customer experience. However, the traditional repower method has high requirements for communication quality and operation and maintenance personnel. Although many existing improvement solutions are feasible, they suffer from high cost and difficult deployment. To solve this problem, this paper proposes a local trip detection and intelligent repower method of smart meters, aiming to achieve a rapid transition to the existing repower architecture. First, the problems of the current trip detection and repower work are introduced. Then, the improvement process and the related service system are designed. Finally, functional testing and analysis were conducted. The results show that the method can effectively improve the user experience of the power-out and repower process.

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