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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Yu Xiao Xingwang Yang Hanjun Deng Shuai Yang Zhi Ye Qinghong Guo Kejiang Xiao State Grid Hunan Power Supply Service Center (Metrology Center) Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha Hunan Province China Faculty of Artificial Intelligence in Education Central China Normal University Wuhan Hubei Province China

With the rapid economic growth and the development of science and technology, the power supply is becoming increasingly tight. Some users use electricity in various ways in order to pay less electricity. The sudden increase of load not only increases the pressure of power enterprises to ensure power supply, but also disrupts the normal social order of power supply and consumption, and seriously damages the legitimate rights and interests of power supply enterprises. The traditional method of electricity default investigation has the disadvantages of difficult to check completely and accurately. To solve this problem, this paper based on $\mathbf{K}$ -Means clustering method to cluster analysis of daily frozen electricity data, combined with active power, load current and maximum demand data, to find out the abnormal points of electricity consumption, to form a multidimensional criterion, in order to realize the accurate inspection of the user's defaulted electricity consumption.

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A new method of short-term load forecasting based on the selection of compound variables

A new method of short-term load forecasting based on the sel...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics technology, ICEEMT 2021

作者： Yu, Xiao Wei, Zou Zhi, Ye Xiaoping, Liu Taoming, Zeng Huang, Rui Wenwei, Zeng Weijie, Zeng 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)9781665441285

Accurate short-term load forecasting is an important guarantee for achieving lean operation and management of the power grid. However, there are difficulties in precise forecasting such as short-term load variability and selecting key factors of load forecasting. We establish a short-term load forecasting method based on variational modal decomposition and compound variable selection. The method is used to decompose the original power load data into multiple sub-sequences, and mine short-term load change characteristics while avoiding mode aliasing problems. Meanwhile, a complex variable selection algorithm is proposed to analyze and screen the key factors affecting load changes, effectively eliminating undesired data and further simplifying the complexity of the prediction model. Each sub-sequence is predicted and merged through the long and short-term memory neural network, achieving the final short-term load forecast. The verification results of the actual data of Changsha City selected for the entire year of 2019 show that the algorithm proposed here can accurately select the key influencing factors of load forecasting under complex external influence factors. With traditional forecasting models, the proposed model structure is simpler. The prediction accuracy is higher. © 2021 IEEE.

关键词： Forecasting

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Implementation of Asset Inventory Model Based on Intelligent Algorithm

Implementation of Asset Inventory Model Based on Intelligent...

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Global Conference for Advancement in technology (GCAT)

作者： Liuqing Ye Canhui Zhang Dan Zhao Longmin Bu Huiting Xu State Grid Hunan Electric Power Company Limited Power Supply Service Center(Metrology Center) Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China

Asset inventory is an important part of internal management in an organization, and it is of great significance for the smooth operation and normal development of the organization. The traditional manual inventory method has problems of low inventory efficiency and low accuracy. The asset inventory model based on intelligent algorithms can overcome the shortcomings of traditional methods and improve inventory efficiency and accuracy. This article introduces the implementation process of an asset inventory model based on deep learning algorithms. Firstly, the YOLOv4 algorithm is used for object detection to obtain the position and category information of the target object in the asset image. Then, the Faster R-CNN algorithm is used to locate the target, further improving accuracy. Finally, a neural network model trained on large-scale data is used to classify, recognize, and count assets. Using the actual data, this paper constructs the optimal portfolio model based on different risk measures and termination conditions: the maximization model of unit risk return, the VaR risk control model, and the risk return preference model. Genetic algorithm and Simulated annealing algorithm are used to optimize the model. Through experimental verification, the recognition rate of this model reaches over 90%, and the inventory efficiency and accuracy are greatly improved compared to traditional manual inventory methods. In summary, asset inventory models based on intelligent algorithms have unique advantages in inventory efficiency and accuracy, and have broad application prospects in the future.

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The Viscosity Measurement of Ti15Zr60Hf20Si5 and its Calculation

SSRN

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SSRN 2024年

作者： Huang, Jiajia Wu, Liang Li, Xi Zeng, Yi Chen, Jinwei Xiao, Yifeng Zhang, Qiankun State Key Laboratory of Powder Metallurgy Central South University Changsha410083 China School of Mechanical Engineering and Mechanics Xiangtan University Xiangtan411105 China Key Laboratory of Welding Robot and Application Technology of Hunan Province Xiangtan University Xiangtan411105 China School of Physics and Electronic Sciences Changsha University of Science and Technology Changsha410114 China Hunan Provincial Key Laboratory of Flexible Electronic Materials Genome Engineering Changsha University of Science and Technology Changsha410114 China

The study of the viscosity of Ti-Zr-Hf-Si alloy is of great help to prepare UHTCMCs. In this work, the viscosity of Ti15Zr60Hf20Si5 is 11.8 m·Pa·s by the drop oscillation method under electrostatic levitation conditions at 2273 K. For qualitative assessment of the samples, it was found that Ti15Zr60Hf20Si5 does not contain solid phase at 2273 K using experimental analysis (SEM, EPMA, XRD, and TEM). Based on the experimental results, the viscosity database of the pure liquid phase for Ti-Zr-Hf-Si quaternary systems was constructed by the viscosity model in our previous work. © 2024, The Authors. All rights reserved.

关键词： Viscosity

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Macrocycle-based host-guest interactions improving electrical energy storage capability of all-organic dielectric composites

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Composites Science and technology 2025年 268卷

作者： Zhong, Hao Tan, Hao Deng, Liwen Luo, Hang Guo, Ru Chen, Sheng Key Laboratory of Polymeric Materials and Application Technology of Hunan Province College of Chemistry Xiangtan University Hunan Province Xiangtan411105 China State Key Laboratory of Powder Metallurgy Central South University Hunan Changsha410083 China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong N.T Shatin Hong Kong

Polymer films capacitors are widely used in the electrical and electronic fields, and much effort has been devoted to exploiting the high temperature resistant polymer dielectrics with superior discharged energy density (Ud) and efficiency (η) in harsh environments. The addition of organic molecular fillers is good way to improve the energy storage properties of dielectric polymers. In this work, for the first time, the host organic filler (methyl β-cyclodextrin, M-β-CD) is embedded into the guested polynorbornene dielectrics containing amantadine side-chain (PATMD). All-organic polymeric dielectric composites (M-β-CD/PATMD) is obtained based on the host-guest interaction between PATMD matrix and M-β-CD filler. The experiment results showed that the introduction of host filler can obviously enhance the Ud and η at high temperature and high field because inclusion complex can simultaneously increase thermal performance and trap depth. The maximum Ud of 0.1 wt% M-β-CD/PATMD is 7.4 J/cm2, maintaining the η of above 90 %. Importantly, at 150 °C and 200 °C, the largest Ud of 4.3 J/cm2 and 3.6 J/cm2 is achieved respectively, and the corresponding η is 80 % and 74 %, which is both much higher than that of pure PATMD. This work proves that the cyclodextrin-based host-guest design method is a good effective strategy for the preparation of high performance polymer dielectrics. © 2025 Elsevier Ltd

关键词： Capacitor storage

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Effect of Foam Interlayer Thickness and Pore Size on the Microstructure and Properties of Brazed Joints

SSRN

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SSRN 2024年

作者： Xiao, Yifeng Song, Zhang Zhang, Rui Zhang, Qiankun Bai, Shijie Wu, Liang School of Mechanical Engineering and Mechanics Xiangtan University Xiangtan China Engineering Research Center of Complex Tracks Processing Technology and Equipment Ministry of Education Xiangtan University Xiangtan China Key Laboratory of Welding Robot and Application Technology of Hunan Province Xiangtan University Xiangtan China Hunan Provincial Engineering and Technology Research Center for Nickel-based Welding Consumables Xiangtan China

This study investigates the effects of the interlayer thickness and pore size of foam metal materials on the microstructure and properties of dissimilar material brazed joints. Using finite element simulation calculations, the mechanism by which the foam interlayer alleviates residual stress is elucidated. C/C composite materials and TC4 alloy were used as the base materials for brazing, with a foam Ni interlayer and AgCuTi foil as the brazing filler to achieve high-quality joining of the C/C composite and TC4 alloy. The brazed interface microstructure with a 0.4 mm thick foam Ni interlayer with a pore size of 0.5 mm was more uniform, and the shear strength of the joint reached 21.23 MPa, representing an 85.96% increase compared to the joint without the foam Ni interlayer. Finite element analysis indicated that the residual stress of the brazed joint with the foam Ni interlayer was 22% lower than that of the joint without the interlayer. © 2024, The Authors. All rights reserved.

关键词： Brazing

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A self-healing coating based on facile pH-responsive nanocontainers for corrosion protection of magnesium alloy

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Journal of Magnesium and Alloys 2022年第3期10卷 904-919页

作者： Yuejun Ouyang Lin-Xin Li Zhi-Hui Xie Lili Tang Fuhui Wang Chuan-Jian Zhong Hunan Engineering Laboratory for Preparation Technology of Polyvinyl Alcohol(PVA)Fiber Material Huaihua UniversityHuaihua 418000PR China Chemical Synthesis and Pollution Control Key Laboratory of Sichuan Province/Institute of Synthesis and Application of Functional Materials College of Chemistry and Chemical EngineeringChina West Normal UniversityNanchong 637002PR China Shenyang National Laboratory for Materials Science Northeastern University3-11 Wenhua RoadShenyang 110819PR China Department of Chemistry State University of New York at BinghamtonBinghamtonNY 13902USA

The preparation of pH-responsive nanocontainers by typical silane modification of the mesoporous silica nanoparticle(MSN)surface is usually high-cost,complex,and time-consuming,which remains a great challenge for effective corrosion protection of magnesium ***,a new strategy to construct pH-responsive nanocontainers(MSN-MBT@LDH)is *** nanocontainers consist of corrosion inhibitor(2-mercaptobenzothiazole,MBT)loaded MSN core and layered double hydroxide(LDH)nanosheet shell serving as *** successful loading of MBT and encapsulation by LDH nanosheets were confirmed by a series of characterization such as scanning transmission electron microscopy coupled with energy dispersive X-ray spectroscopy(STEM-EDS)and N2 adsorption/desorption *** pH-responsive feature of the nanocontainers was demonstrated by determination of the MBT concentration in buffer solutions with different pH values.A smart corrosion protection system on Mg alloy is obtained by incorporating the synthesized nanocontainers into a self-assembled nanophase particle(SNAP)*** electrochemical tests and visual observations show that the hybrid coating has the best barrier properties and robustness in corrosion protection in NaCl corrosive solutions in comparison with the control *** present method simplifies the synthesis processes of nanocontainers and eliminates the potential detrimental effect of excess gatekeepers on the *** findings provide new insights into the preparation of scalable *** self-healing coatings are expected to have widespread applications for corrosion protection of Mg alloy and other metals.

关键词： Mg alloy Coating Corrosion Layered double hydroxide Nanocontainer.

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A Method and System for Evaluating Health Status of Low-voltage Power Supply Lines based on Clustering Algorithm 2021

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

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The 4th International Conference on Information Technologies and Electrical Engineering

作者： Minqi Yu Rui Huang Qin Liu Wenwei Zeng Maotao Yang Grid Hunan Electric Power Corporation Limited China and 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.

关键词： Line health status evaluation FCM clustering algorithm Low-voltage power supply line Euclidean distance

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Non-conjugated polymers as thickness-insensitive electron transport materials in high-performance inverted organic solar cells

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Journal of Energy Chemistry 2020年第8期29卷 196-202,I0007页

作者： Zhiquan Zhang Zheling Zhang Yufu Yu Bin Zhao Sheng Li Jian Zhang Songting Tan Key Laboratory for Green Organic Synthesis and Application of Hunan Province Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of EducationCollege of ChemistryXiangtan UniversityXiangtan 411105HunanChina College of Material Science&Engineering Guangxi Key Laboratory of Information MaterialsGuilin University of Electrical TechnologyGuilin 541004GuangxiChina Hunan Research Institute of Light Industry Changsha 410015HunanChina

Two non-conjugated polymers PEIE-DBO and PEIE-DCO, prepared by quaternization of polyethyleneimine ethoxylate by 1,8-dibromooctane and 1,8-dichlorooctane respectively, are developed as electron transport layer(ETL) in high-performance inverted organic solar cells(OSCs), and the effects of halide ions on polymeric photoelectric performance are fully investigated. PEIE-DBO possesses higher electron mobility(3.68×10-4 cm2 V-1s-1), higher conductivity and more efficient exciton dissociation and electron extraction, attributed to its lower work function(3.94 eV) than that of PEIE-DCO, which results in better photovoltaic performance in OSCs. The inverted OSCs with PTB7-Th: PC71BM as photoactive layer and PEIE-DBO as ETL exhibit higher PCE of 10.52%, 9.45% and 9.09% at the thickness of 9, 35 and 50 nm,respectively. To our knowledge, PEIE-DBO possesses the best thickness-insensitive performance in polymeric ETLs of inverted fullerene-based OSCs. Furthermore, PEIE-DBO was used to fabricate the inverted non-fullerene OSCs(PM6:Y6) and obtained a high PCE of 15.74%, which indicates that PEIE-DBO is effective both in fullerene-based OSCs and fullerene-free OSCs.

关键词： Organic solar cells Electron transport materials Thickness-insensitive Non-conjugated polymer

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Research on Indifference Management of Differentiated Computer Room

Research on Indifference Management of Differentiated Comput...

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Information technology, Communication Ecosystem and Management (ITCEM), International Conference on

作者： Pengju Tang Yanxia Gao Yujun Yang Meixiu Tang College of Computer and Artificial Intelligence (Software College) Huaihua University Huaihua China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua China Huaihua University Library Huaihua University Huaihua China

ISBN: (数字)9798331542696

ISBN: (纸本)9798331542702

University computer rooms generally prefer batch purchasing strategy to simplify the management process such as system deployment and software update. However, with the growth of the life of the equipment, the failure of electronic products is inevitable, especially once the motherboard problem occurs, it is often difficult to find a replacement that exactly matches the original motherboard. Even if the replacement is found, its price is far beyond the market average level. After several years of operation, even the motherboard purchased in the same batch may also lead to the coexistence of a variety of models due to various reasons. In this situation, it becomes impractical to carry out unified network cloning. To solve this problem, we propose an innovative solution: deploying a local backup system combined with a server-controlled startup mode. The core of this solution is that through the local backup system, we can effectively deal with the challenge of different motherboard models, and ensure that each machine can have its own system snapshot. At the same time, the server-controlled boot mode further enhances the flexibility and efficiency of management, so that even in the hardware diversity of the environment, it can also achieve batch system recovery. The introduction of local backup system not only solves the problem of differentiated computer room management, but also significantly improves the convenience and stability of computer room operation and maintenance.

关键词： Biological system modeling Ecosystems Cloning System recovery Stability analysis Software Hardware Maintenance Information technology Consumer electronics

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