2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)最新文献

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Study on the characteristics of hybrid ionized field under different transmission line structures 不同传输线结构下杂化电离场特性研究
Leilei Wang, Songyang Zhang, Zhongju Yang, Donghui Wang, Z. Fen, Hao Yang, Fan Yang
{"title":"Study on the characteristics of hybrid ionized field under different transmission line structures","authors":"Leilei Wang, Songyang Zhang, Zhongju Yang, Donghui Wang, Z. Fen, Hao Yang, Fan Yang","doi":"10.1109/iceert53919.2021.00019","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00019","url":null,"abstract":"In order to study the complex electromagnetic environment under the AC and DC parallel transmission lines, the hybrid ionized field characteristics under different line structures are studied. The influence of DC line pole spacing, AC and DC parallel spacing, AC line voltage level and other factors on the hybrid ionized field are considered. The results show that the influence of the DC line polar distance on the hybrid ionized field is negligible, and the change of the AC and DC parallel spacing in different ranges has different effects on the hybrid ionized field, and with the increase of the AC line voltage level, it will reduce the hybrid ionized field under the line.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115294689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Instantaneous Frequency Identification Algorithm for the Dynamic Frequency Signals in power system 电力系统动态频率信号的瞬时频率识别算法
Xuanren Meng, Mosi Liu, Xiaoming Wang, Zhiyuan Sun
{"title":"An Instantaneous Frequency Identification Algorithm for the Dynamic Frequency Signals in power system","authors":"Xuanren Meng, Mosi Liu, Xiaoming Wang, Zhiyuan Sun","doi":"10.1109/iceert53919.2021.00039","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00039","url":null,"abstract":"Dynamic behaviors of the power system may cause the time-varying and non-stationary characteristics of voltage and other signals. To solve the problem that the dynamic frequency of non-stationary signals is difficult to estimate, we proposed a Parameterized Frequency Undetermined Coefficient method (PFUC) to identify the instantaneous frequency (IF). The PFUC utilizes the Taylor expansion of the time-varying function to parameterize the IF. Based on the relationship between phase and time, the linear equations about the parameters of IF expansion are constructed. By substituting the solution into the IF expansion, the IF values at any time can be obtained. The PFUC achieves the goal of frequency identification with high-precision. In addition, the PFUC combined with empirical mode decomposition (EMD) can effectively deal with the situation that the signal has a trend term. The performance was demonstrated through simulations for various scenarios possibly existing in actual power systems.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115728247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Urban rail transit line and station planning optimization based on GIS : -- Take Haikou city as an example 基于GIS的城市轨道交通线路及车站规划优化——以海口市为例
Yang Zhao, Jialu Xu, Jingqiu Yin
{"title":"Urban rail transit line and station planning optimization based on GIS : -- Take Haikou city as an example","authors":"Yang Zhao, Jialu Xu, Jingqiu Yin","doi":"10.1109/iceert53919.2021.00053","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00053","url":null,"abstract":"Haikou is the fulcrum city of \"One Belt and One Road\" strategy and the core city of Hainan Free Trade Port. Rail transit lines and theirs station planning and layout are an important part of urban development pattern in the future. In this paper, using GIS technology, considering urban planning, geological data, existing bus lines, traffic network conditions, large passenger flow distribution points, according to the October 2017 Didi order data, rail transit planning principles of Haikou urban rail transit lines and stations are planned.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126764375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Highway Environmental Protection System and Carbon Footprint Based on Full Process Management Theory 基于全过程管理理论的公路环保系统与碳足迹研究
Xin Zhou, Cheng-Jie Du, Yousen Yang, Zhun Ming, Xi Hai, Jianwen Gao
{"title":"Research on Highway Environmental Protection System and Carbon Footprint Based on Full Process Management Theory","authors":"Xin Zhou, Cheng-Jie Du, Yousen Yang, Zhun Ming, Xi Hai, Jianwen Gao","doi":"10.1109/iceert53919.2021.00046","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00046","url":null,"abstract":"In order to reduce the environmental pollution of highway engineering, \"double carbon\" goals are achieved as soon as possible. From the perspective of build period, construction period and operation period, this paper analyzes the current situation of highway environmental protection management and determines the existing problems of environmental protection management. On this basis, based on the full process management theory, the full-course concept of highway construction is proposed; the macro and micro management method is used to establish a highway environmental management system. At the same time, taking the two-way six lane highway in Jiangsu Province as the research object, analyzes the expressway carbon footprint from the perspective of construction period and operation period. The annual carbon footprint, cumulative carbon footprint and carbon recovery year are used to evaluate the emission reduction benefits of highway. The results show that the carbon footprint of the highway construction period is 2316ktC, and the annual operation period carbon footprint is 5869tC, and it can all recovered the construction carbon emissions before 2032.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125548708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Substation integrated information processing system based on multi-channel video and voiceprint intelligent recognition 基于多路视频声纹智能识别的变电站综合信息处理系统
Shimulin Xie, Xiao Liao, Xiang Zhang, Xingtao Wang, Min-Jung Jin, Xujie Liu, Zeyi Tang
{"title":"Substation integrated information processing system based on multi-channel video and voiceprint intelligent recognition","authors":"Shimulin Xie, Xiao Liao, Xiang Zhang, Xingtao Wang, Min-Jung Jin, Xujie Liu, Zeyi Tang","doi":"10.1109/iceert53919.2021.00028","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00028","url":null,"abstract":"Aiming at the problems of low information processing efficiency and poor stability in traditional methods, a substation integrated information processing system based on multi-channel video and voiceprint intelligent recognition is designed. The overall architecture of the system is given, and the man-machine interface module, database module, interface master control module, substation status information acquisition module, and substation equipment monitoring module are specifically designed. Based on the hardware design, real-time collection of substation information, and based on the collection of substation comprehensive information, a voiceprint recognition algorithm is designed to process the substation comprehensive information and realize the design of substation comprehensive information processing system. The experimental results show that the maximum value of the stability coefficient of the designed system is above 0.9, and the information processing efficiency is high, which fully verifies the practical application performance of the system.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"40 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131726910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Edge Computing in Smart Hydropower Station: Noise Suppression for Condition Monitoring 智能水电站的边缘计算:状态监测的噪声抑制
Yuanlin Luo, Minhua Chen, Yuechao Wu, Bo Zheng
{"title":"Edge Computing in Smart Hydropower Station: Noise Suppression for Condition Monitoring","authors":"Yuanlin Luo, Minhua Chen, Yuechao Wu, Bo Zheng","doi":"10.1109/iceert53919.2021.00015","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00015","url":null,"abstract":"Smart hydropower station (SHS) possesses a key role in smart energy system, thus the health management of electrical equipment in SHS becomes extremely important. Condition monitoring is widely used to assess the condition of electromechanical equipment in SHS. However, the explosive growth of monitoring data has brought great challenges to the centralized condition monitoring method, while the condition monitoring is always accompanied by noise from variety sources. Wavelet de-noising technique is one of the most prevalent methods for purifying monitoring signals from white noise, but the threshold selection and the threshold function is still a critical challenge. To this end, under the cloud-edge collaborative framework in SHS, this paper proposes a novel wavelet de-noising method, the method includes a short time 3o based threshold decision method and a slide energy windows based threshold processing rule. The simulation results verify the effectiveness and superiority of the proposed method over other available methods.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130383633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Line defect image aided recognition method for power communication operation inspection 电力通信运行检测中的线路缺陷图像辅助识别方法
Zhiping Wei, G. Su, Zhijun Chen, Xueyan Li, Xiuhao Fang, Zhangfeng Deng
{"title":"Line defect image aided recognition method for power communication operation inspection","authors":"Zhiping Wei, G. Su, Zhijun Chen, Xueyan Li, Xiuhao Fang, Zhangfeng Deng","doi":"10.1109/iceert53919.2021.00021","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00021","url":null,"abstract":"Aiming at the problem of low recognition accuracy caused by poor edge detection effect in line defect image auxiliary recognition method, a line defect image auxiliary recognition method for power communication operation inspection is proposed. Dark channel defogging and adaptive gamma correction are performed on the power communication operation inspection images with poor imaging affected by fog and low contrast due to illumination, so as to improve the image contrast and detail performance. The Ratio algorithm is used to detect the edge of transmission line, extract the wire from the image, establish the line defect image auxiliary recognition model based on CNN, and complete the detection of four types of defects. The test results show that the accuracy of transmission line defect identification by this method is 96.70%, which is 4.63% and 7.02% higher than that based on BP neural network and YOLOV3. The identification results can meet the needs of practical application.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114220887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Fault Diagnosis of Tuning Area of Jointless Track Circuit Based on PSO-SVM 基于PSO-SVM的无缝轨道电路调谐区故障诊断研究
Shuai Wang, Junting Lin, Jinchuan Chai, Weifang Wang, Huadian Liang, Endong Liu
{"title":"Research on Fault Diagnosis of Tuning Area of Jointless Track Circuit Based on PSO-SVM","authors":"Shuai Wang, Junting Lin, Jinchuan Chai, Weifang Wang, Huadian Liang, Endong Liu","doi":"10.1109/iceert53919.2021.00044","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00044","url":null,"abstract":"The ZPW-2000K jointless track circuit is composed of the main track and the small track in the tuning area. Aiming at the complexity and randomness of the tuning area failure, an intelligent diagnosis model of support vector machine(SVM) based on particle swarm optimization(PSO) is proposed. Firstly, according to the structural composition of the tuning area, 10 voltage and current monitoring quantities in ZPW-2000K track circuit monitoring system of passenger dedicated line are selected to form fault data feature set. Secondly, particle swarm optimization is used in MATLAB to optimize the SVM model parameters, the SVM diagnosis model with optimal parameters is obtained, then carry out fault pattern recognition. Through simulation calculation, the prediction results of PSO-SVM model are compared with traditional SVM model and genetic algorithm optimized SVM model, which proves that the algorithm is a new method to effectively evaluate the type of fault diagnosis, and realizes 7 types of fault identification in the tuning area. The classification accuracy of the model can reach 95% and has good fault diagnosis ability.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on UAV conflict resolution based on dynamic conflict detection model 基于动态冲突检测模型的无人机冲突解决研究
Qian Zhou, Guobao Cheng
{"title":"Research on UAV conflict resolution based on dynamic conflict detection model","authors":"Qian Zhou, Guobao Cheng","doi":"10.1109/iceert53919.2021.00022","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00022","url":null,"abstract":"UAV has been widely used in various industries, but at present, it mainly operates in isolated airspace, which limits the further development of UAV. This paper presents an improved UAV conflict detection model is proposed to establish a dynamic conflict detection model based on the operation status of UAV and intruders, and the conflict deconfliction of UAV is realized based on the detection results combined with ORCA(Optimal Reciprocal Collision Avoidance) algorithm, which further improves the success rate of conflict deconfliction and ensures the safe and efficient operation of UAV. Finally, Monte Carlo simulation is used to simulate the algorithm and verify the effectiveness of the algorithm.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132552399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on dynamic route guidance method of urban construction area under vehicle-network environment 车联网环境下城市建成区动态路径引导方法研究
Wenhuai Lu, Yalong Qiu, Fenian Liu
{"title":"Study on dynamic route guidance method of urban construction area under vehicle-network environment","authors":"Wenhuai Lu, Yalong Qiu, Fenian Liu","doi":"10.1109/iceert53919.2021.00051","DOIUrl":"https://doi.org/10.1109/iceert53919.2021.00051","url":null,"abstract":"The Internet of Vehicles is an intelligent information technology to solve the problem of dynamic route guidance. Due to the regional traffic congestion caused by the construction of urban road occupation, reasonable traffic organization and control methods are used to direct the traffic, it is a very important measure to reduce the influence of construction area on urban traffic. Based on the OD demand distribution of regional road network, this paper adopts the system optimal (SO) equilibrium model to conduct the dynamic route guidance for the travelers in the road network of construction impact area. Through the dynamic updating of road impedance and residual capacity, combined with the induced compliance rate based on driver questionnaire survey, the dynamic route guidance calculation of the road network in the construction impact area is carried out to realize the traffic flow guidance of the road network in the construction impact area. In this paper, the improved Frank-Wolfe Algorithm is used to solve the route guidance model in the construction impact area, and the results show that the total travel time is reduced by 21.36% after the dynamic route guidance is adopted in the construction area, it shows that the dynamic route guidance method based on system optimization can effectively alleviate the regional traffic congestion caused by urban road construction, provide reliable guidance information for travelers, and effectively improve the traffic efficiency of the construction area.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114126660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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