bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Wireless Monitoring System for Power Terminal Equipment based on NB-IoT
Authors: Sun Lei , Hu Xianhua , Li Jinxuan , Xie Tairong 
Published: July 2020

Abstract
The application of Low-Power Wide-Area Network (LPWAN) technology in wireless monitoring of power terminal equipment is studied in this paper. From the aspects of hardware and software design of monitoring terminal, communication protocol, remote data management cloud platform, the wireless monitoring system of power terminal based on Narrow Band Internet of Things (NB-IoT) is designed in detail. STM32L151 is chosen as the main controller of the monitoring terminal owing to its low power consumption. After simple edge calculation and data packaging, the terminal equipment status information is reported to the remote data management platform via NB-IoT network based on system setting. The platform supports various functions such as a variety of terminal access methods, terminal identity authentication, parameter configuration, data forwarding, and terminal abnormal data information reporting and so on. In order to improve the User Datagram Protocol (UDP) transmission reliability, the terminal drop detection mechanism is designed on UDP communication protocol. Eventually, the system is applied in monitoring power terminal equipment status such as transmission and distribution pole tower, power well cover, cable trench cover, knife brake of distribution line, etc. The experimental results show that the power terminal monitoring system based on NB-IoT can achieve unified access and centralized management of power equipment status information in different power scenarios, and this system greatly enhances the reliability and efficiency of power system terminal equipment operation and maintenance, and has value in engineering.
Nodes Non-uniform Deployment with Energy Harvesting in Linear WSN
Authors: Li Cuiran , Jin Meijuan , Lv Anqi 
Published: July 2020

Abstract
Aiming at the problem that the network lifetime declines in linear WSN powered by battery, node energy model with energy harvesting (EH) and prediction is constructed. Based on the model, the multi-sink WSN network is deployed in an optimal non-uniform way. The mathematical expressions of the average packet delivery ratio and throughput density of the optimal deployment strategy are deduced theoretically. The performances of the average packet delivery ratio, throughput density, network lifetime, and residual energy ratio are simulated in EH-WSN and WSN, as well as the ratio q and the signal-to-interference noise ratio (SINR) threshold θ. The results show that the lifetime of EH-WSN is prolonged by adjusting the ratio q and the SINR threshold θ, compared with WSN powered by battery. The proposed strategy has good scalability, suitable for the non-uniform deployment in linear EH-WSN, especially with a large number of nodes and a long distance.
Design of Wide Interval Frequency Hopping Pattern for Frequency Hopping Mobile Ad-hoc Networks
Authors: Zhao Yadong , Zhang Yu , Song Jian 
Published: July 2020

Abstract
The frequency hopping mobile ad-hoc network (FH MANET) is a communication network that combines frequency hopping (FH) technology and mobile ad-hoc network (MANET) technology. FH technology can improve the anti-interference performance of the network, and MANET technology improves the mobility and anti-destructiveness of the network. It can be networked autonomously without manual intervention and other network facilities. It has strong application value in complex battlefield environment and occasions with harsh environment and high confidentiality requirements. The frequency hopping pattern (FHP) design is a key technology in the FH MANET, which is directly related to the network’s anti-interference and multipath fading capabilities. In this paper, a wide interval expansion method (WIEBM) based on m-sequence and non-continuous tap L-G model is proposed. The experimental results demonstrate that proposed scheme can effectively improve the anti-interference ability of the system. It has the ability to resist more than 30% of broadband interference.
Application Analysis of 5G Communication in Power System
Authors: Zhao Yang , Zhao Xiaohong , Ren Tiancheng , Liu Xin , Wang Wenting 
Published: July 2020

Abstract
In 2019, State Grid Corporation of China (SGCC) proposed the strategic goal of building and developing a strong smart power grid and ubiquitous power Internet of things. Smart power grid and ubiquitous power Internet of things involve massive information interaction in power system, which cannot be separated from the support of advanced communication technology. 5G communication system integrates advanced network technology, and has the advantages of high resource utilization, fast transmission rate and high spectrum utilization. Compared with existing 4G communication systems, it has a great improvement in user experience, transmission delay and coverage. In this paper, we take the application of 5G communication system in power system as the main research content, discuss various wireless communication application scenarios in power system, and analyze the feasibility of 5G communication to support the ubiquitous power Internet of things construction in terms of key technologies and application costs of 5G communication. However, the energy consumption and security of 5G communication system are still major factors that limit its application in the ubiquitous power Internet of things, and these problems need to be fully paid attention to by researchers.
Intelligent Identification and Classification of Product Quality Incidents Based on Rules and Statistics
Authors: Xu Yingcheng , Wang Haiyan , Feng Wei , Zheng Xiaojun 
Published: July 2020

Abstract
Product quality and safety incidents are closely related to the lives of ordinary people, and have always been the focus of all countriesgovernments. Using related technologies and methods, how to intelligently identify and classify product quality and safety incidents, and find out the evolution and spread of events at the first time, and deal with them quickly, has always been a difficult problem for product quality and safety supervision departments to solve. Based on rules and statistics, a multi-layer text classifier is built to identify and classify product quality incidents. The first layer implements rough segmentation of the news concerning product quality incidents based on rule classifier. The second layer matches the news in a level-wise manner from the top down by calculating the text similarity until the corresponding subclass is found. The experiments show that the proposed classifier can effectively identify the product quality incidents in Web news.
Research on the Protection Mechanism of Cisco IOS Exploit
Authors: Wang Jinzhu , Cai Ruijie , Liu Shengli 
Published: July 2020

Abstract
Cisco IOS is an operating system that runs on Cisco routing and switching equipment. Its security is important to the entire network. Since vulnerability attacks have become one of the main sources of threat to Cisco IOS security, it is necessary to analyze the defense mechanism of IOS against vulnerability attacks. The purpose of this paper is to find out the deficiencies of IOS vulnerability defense mechanism in time and put forward improvement methods and preventive measures. Firstly, this paper introduces the protection mechanism of Cisco IOS vulnerability, including CheckHeaps, DEP, ASLR. The principle of these mechanisms and the idea of vulnerability protection are analyzed. And then, after analyzing the shortcomings of these protection mechanisms, the basic idea of bypassing these protection mechanisms is proposed. Finally, in view of the shortcomings of Cisco IOS vulnerability defense mechanism and the proposed bypass methods, some advices about how to better protect Cisco IOS from vulnerability exploitation are given.
Study of the Local Oxidation of Silicon Waveguide for Realizing the Intra-Guided Mode Conversions
Authors: Yu Ting , Wang Bin , Sun Degui 
Published: July 2020

Abstract
The impressive achievements in research and developments of silicon-on-insulator (SOI) based silicon photonic integrated (PIC) devices have been made, but the coupling loss between the fibre and SOI waveguide is still a fatal problem. As well known, the butt coupling between a fibre and a low index-contrast silica-on-silicon (SOS) waveguide only causes a much lower optical loss, however, such a process between a fibre and a high index-contrast SOI waveguide creates a much higher optical loss. In this work, a 2-step intra-guide mode conversion of fibre-SOS-SOI structure is modelled and studied, in which a mitigating structure of SOS waveguide is created via a local oxidation of silicon (LOCOS) technique. The LOCOS method is an in-situ chemical process during the waveguides are fabricated without causing any extra fabrication, but it can control the physical parameters of the SOS waveguide through a chemical process. In such a 2-step intra-guide mode conversion, the total optical efficiency of the fibre-SOS-SOI structure is modelled, and the optical efficiencies of both the fibre-SOS mode conversion and the SOS-SOI mode conversion are systematically studied, and the broad dependences of guided mode profile on the chemical parameters of the LOCOS process are discussed. As a result, a total optical loss of <0.5dB for a butt coupling process between fibre and single-mode SOI-waveguide is achieved. So far, no similar practical butt-coupling method has been reported yet.
Analysis of Financial Crisis Early Warning Model of Listed Enterprises in China
Authors: Chong Zhang , Zhengyu Duan , Meikang Luo 
Published: July 2020

Abstract
In recent years, many studies show that corporate financial crisis usually has a long hidden period. If this hypothesis can predict the financial crisis of enterprises, it is expected to control the destructive power brought about by the financial crisis to a minimum. Therefore, this paper takes 108 listed financial crisis companies (ST companies) and 435 non-ST listed companies in China’s A-share annual report in 2019 as reference samples. Then, on the basis of these indicators, the corresponding models are established. The results show that through the analysis of various indicators, we can find the potential financial crisis prediction information and predict the company’s financial distress. From the results of the model analysis, we can see that in the year before the financial crisis, the variables of the financial model are the most. This shows that the closer the year of ST occurs, the higher the accuracy of the model.
Service Migration in Mobile Edge Computing Based on Reinforcement Learning
Authors: Fan Chen , Li Li 
Published: July 2020

Abstract
Mobile edge computing (MEC) provides users with cloud computing capabilities at the edge of the mobile network, which effectively reduces network latency and improves the experience of end-users. User mobility in MEC is a factor that cannot be ignored, and mobility management is an urgent problem to be solved. Service migration is an effective way to manage user mobility. However, it is not appropriate to perform migration too frequently due to expensive migration overhead. In this paper, we propose a service migration decision algorithm to decide whether to migrate or not when the user moves out of the coverage of the offloaded MEC server. Markov decision process (MDP) is used to model the service migration decision problem. We comprehensively consider the distance between users and services, resource requirements of the services, and resource availability of the MEC servers. On the premise of considering both migration costs and resource conditions, aiming at maximizing quality of service (QoS), the reward function of MDP is defined, and the migration decision strategy is solved by Q-learning algorithm. Finally, our proposed migration decision algorithm is validated by simulation.
A Study on Risk Assessment of Non-economic Factors of an Accident Based on Monte Carlo Simulation
Authors: Xiaowei Lu , Wu Qian , Ya Li , Li Yulong 
Published: July 2020

Abstract
This paper makes a systematic analysis of the losses caused by accidents and disasters and models the non-economic factors of an accident. Based on a brief introduction to traditional analysis methods, we introduced Monte Carlo simulation. This paper further analyses the application of the model by taking a concrete case as an example, verifying the practicability and scientificity of the model. This paper introduce and analyse the principle and superiority of Monte Carlo method, and combine the three links of risk analysis to analyse the implementation process of this method for non-economic factors risk analysis simulation. The analysis framework includes the basic ideas of each step of risk analysis under Monte Carlo simulation, the applicable methods of each step, and the selection of evaluation indicators. This method is scientific, reasonable and easy to operate, and could be applied in similar cases to provide a more scientific risk assessment for non-economic factors.
A Fast Calculation and Rendering Method for Infrared Characteristics of Hypersonic Vehicle
Authors: Bao Chenying , Li Ni , Gong Guanghong , Tian Chao , Lu Yuanjie 
Published: July 2020

Abstract
In this paper, a fast calculation and rendering method for infrared characteristics of hypersonic vehicle is proposed, which covers the overall infrared simulation process. The key point of this method is the heterogeneous interpolation algorithm, which can map the data from dense grid to sparse grid, thus greatly reducing the volume of data and improving rendering efficiency on the premise of guaranteeing the simulation reliability. Taking the hypersonic vehicle X-43A as an example, we realize the calculation and rendering of its infrared characteristics. Experimental results show that the infrared radiation characteristics of hypersonic vehicle are primely reproduced in the rendering process.
Research on Modal Analysis of Qin Structure Based on Finite Element Technology
Authors: Hu Bing , Li Haoran 
Published: July 2020

Abstract
Qin is one of the traditional plucked musical instruments in China and has a history of more than 3,000 years. Qin has deep historical heritage and rich cultural connotation. It is often used for solo, but also for accompaniment. The timbre of Qin is quiet and the aftertaste is long. It is often used to express a person’s interest and purity. It is a traditional musical instrument which puts emotions on it. Qin is loved by the public. Based on the finite element analysis method, this paper makes use of the Hypermesh finite element calculation and analysis software to obtain the finite element model of the Qin and analyze the modal of the Qin. [1] Through modal analysis, the effectiveness of the computer simulation method using in the production of Qin has been verified, which supplies data sustain and theoretical sustain for the study of the structure of the Qin and the other traditional Chinese national musical instruments.
A Novel Grid-Connected Current Control Method Based on Frequency Adaptive Proportional Resonance
Authors: He Laipei , Zheng Shousen , Qi Xinmei , Huang Yuhe 
Published: July 2020

Abstract
In this paper, a novel quasi-proportional resonance (quasi-PR) controller for grid-connected current control is proposed. For the traditional quasi-PR controller, the performance decreases in cases when a large gird frequency deviation is going through. To solve the problem, a frequency adaptive structure is applied in the current control method to achieve online correction on the resonance frequency, so that a high control accuracy is maintained and the robustness of the control system is enhanced. The feasibility of the proposed method has been verified by experimental results.
Optimization of impulse resistance reduction for tower grounding device of transmission line
Authors: Chen Sixiang , Wu Lihui , Li Hengzhen , Chen Daopin , Liu Yijun , Wu Tongshuai 
Published: July 2020

Abstract
When the lightning strikes the tower, the lightning current is discharged into the ground through the tower grounding device. The magnitude of the impulse earthed resistance of the tower grounding device determines the lightning discharge capacity of the tower. Therefore, the tower grounding device directly affects the lightning protection level of the tower. This paper first introduces three commonly used shock resistance reduction methods: long vertical ground electrode, acupuncture ground electrode, and externally induced rays. Then, the CDEGS software is used to simulate and analyze the long vertical grounding electrode, and a method of insulation short shield is proposed to determine the optimal length of the vertical grounding conductor of the grounding device. Finally, the different resistance reduction effects under the change of length and number of roots are explored, and the optimal resistance reduction arrangement under the same economic conditions is realized.
Production and Suppression of Resonance Overvoltage for a Type of DC De-icer Installation
Authors: Zhaoxia HE , Chuanqi WU , Jun Chen , Tao Wan , Tian Xia , Jingbin LI 
Published: July 2020

Abstract
The DC de-icer installation has been widely used in the ice protection of power system. Because of the difference between the design and the actual operation of the installation, the resonance overvoltage has been threatening the device body from the distribution parameters of the de-icer transmissions. In this paper, based on the analysis on the mechanism of the resonance overvoltage, the estimate expression of the resonant length of the transmission has been derived. Through the simulation modeling by PSCAD/EMTDC, the effectiveness of the estimate expression has been verified. The suppression measures of the resonance overvoltage have been proposed.
Research on IGBT junction temperature overload algorithm of servo driver
Authors: Guo Rui , Xie Baochang 
Published: July 2020

Abstract
As the core of industrial control, servo drives have become evident in small volume, multi-spindle integration, acclimatization and energy conservation in recent years. The main domestic and foreign servo drives adopt module temperature detection, thermal accumulation - heat dissipation model or inverse time overload algorithm. The overload multiple and time are relatively fixed, and cannot further improve overload capacity according to the environment temperature or load condition. Due to the low utilization rate of the radiator, the servo drive selection usually amplifies the first gear and increases the cost of the electrical system. Without adding energy feedback cells or capacitors, it’s not efficient to recycle the energy produced by braking. This paper mainly studies the overload algorithm which based on junction temperature prediction. The overloading algorithm can increase the overload capacity by 40%. Fanless design can be realized to meet the application of negative conditions such as conductive dust, cutting fluid and cotton. In general, the overload algorithm which based on junction temperature prediction is suit for the application of printing, packaging, semiconductor silicon, forging, laser cutting machines.
Research on Key Technology Development and Application of Grid Asset Management
Authors: Chen Yinghua , Dong Litong , Liu Wenxia , Guo Haoming , Huang Yuchen , Ge Yanqin 
Published: July 2020

Abstract
With the improvement of grid reliability requirements in social development, grid asset management must develop in the direction of digitization and informatization. Based on the latest research results of asset management and risk assessment, the article first discusses the current development status of grid asset management technology, then introduces the theoretical methods of three key technologies and their application status in asset management, i.e. state assessment, reliability and risk assessment, and Life Cycle Cost (LCC) analysis. Secondly, this paper summarizes the application of information technology in power grid asset management, and analyzes the supporting role of digital technology in asset management and its key technologies. On this basis, it puts forward suggestions for China’s power grid asset management, in order to provide a useful reference for the improvement of China’s power grid asset management from the technical level.
Research on Method of Improving Voltage Stability of Distribution Network with Distributed Generation
Authors: Li Dashuang 
Published: July 2020

Abstract
With the increase of distributed generation capacity, grid-connected distributed generation (DG) has an impact on the stability of distribution network. This paper studies the influence of the access of DG on the stability of distribution network. In view of the impact of the access of DG on the distribution network, a method is proposed to improve the voltage stability of the distribution network through the configuration of energy storage equipment in the distribution network. The effectiveness of adding energy storage equipment to improve the voltage stability of distribution network is verified by the simulation results through the MATLAB / Simulink simulation model of DG.
Research and application of a real-time operation risk assessment method for power grid based on random forest algorithm
Authors: Chen Junquan , Wu Shihong , Ye Hangchao , Yang Fu , Song Xian 
Published: July 2020

Abstract
Real-time operation risk assessment of power grid is not only an important content of power grid dispatching and operation control, but also an important reference factor in power grid accident disposal. It is difficult for the traditional evaluation methods to meet power system online operation control requirements, because of their complex process and long calculation time. To this end, a real-time power grid operation risk assessment method based on random forest intelligent algorithm is proposed in this paper, The basic concepts and implementation points of random forest algorithm is introduced. The implementation framework of real-time operation risk assessment based on random forest is proposed taking the need of power grid operation risk assessment into consideration. Compared with the traditional evaluation method, this method can calculate the power grid operation risk level directly according to some key operation indexes without complex power grid analysis, such as N-1 security check. Finally, the two-years practical application in a certain provincial power grid in China shows that the method has high evaluation accuracy and computational efficiency, which can match the traditional evaluation method and improve the calculation efficiency and accuracy of risk assessment.
Two-stage Control Strategy for UHVDC Voltage based on Bifurcation Trajectory Sensitivity
Authors: Yang C , Tang W , Shi L Q , Wu D , Bao W , Zhang J 
Published: July 2020

Abstract
In order to solve the voltage bifurcation phenomenon caused by the continuous change of the load on the UHV grid receiving end system, this paper proposes a two-stage control strategy based on the bifurcation trajectory sensitivity. Firstly, the mechanism of bifurcation of UHV receiving part’s voltage is analyzed. Then the coordination correction model of voltage auxiliary decision and prediction control using bifurcation sensitivity is described. In order to verify the effect proposed, a typical accident of an ultra-high voltage receiving end is used for simulation. The simulation results show that the control effect can meet the stability requirements of the power grid, Two-stage Control Strategy could apply to solve the bifurcation problem.