2022 IEEE 5th International Conference on Electronics Technology (ICET)最新文献_第8页

A DLL-based Router Scheme for the Process-layer Network in Smart Substations 智能变电站过程层网络中一种基于dll的路由器方案

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824564

Rui Guo, Ai Zheng, Qi Huang, Huabo Sun, Lei Chen

引用次数: 0

Research on Fire Escape System Based on Virtual Reality Technology 基于虚拟现实技术的火灾逃生系统研究

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824639

Chuanjie Lei, Siyue Ke, Zhangfei Pei, Wenbo Shao, Shanshan Liu, Yan Wang

{"title":"Research on Fire Escape System Based on Virtual Reality Technology","authors":"Chuanjie Lei, Siyue Ke, Zhangfei Pei, Wenbo Shao, Shanshan Liu, Yan Wang","doi":"10.1109/icet55676.2022.9824639","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824639","url":null,"abstract":"Virtual reality technology mainly provides participants with a realistic simulation experience by using computer simulation systems to simulate the external environment. The fire escape system based on virtual reality technology has the characteristics of immersion, interactivity, conceivability, and 3D visualization, which is conducive to improving the fire safety awareness of the experiencer and enhancing the authenticity of fire drills. This paper first introduced the background of the fire escape system, analyzed the characteristics of the fire escape system technology, focusing on particle collision and sensory impact, and the application of relevant technologies to virtual reality technology applied to the anti-escape system, through scene restoration, scenario reproduction and other ways to be able to optimize the firefighting and rescue disposal tactical program, to achieve the interactive function with the virtual scene, to provide a scientific plan to deal with similar cases in the future. Finally, a comparison is made between the conventional fire escape training method and the method proposed in this paper. The method proposed in this paper is more favorable to enhance the authenticity and experience of the fire escape system for the experiencer.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127926592","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

A Grey Wolf optimizer-Based Topology Shaping Method for UAV Swarm 一种基于灰狼优化器的无人机群拓扑整形方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824250

Yanxiang Yang, Xiangyin Zhang, Bo Li, Kaiyu Qin

引用次数: 0

Optimized Allocation of Protection Centers in Communication Network of Wide Area Protection 广域保护通信网中保护中心的优化配置

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824209

Tingting Sun, Jiejie Huang

引用次数: 0

A Rumor Detection Method Based on Multimodal Information Fusion 基于多模态信息融合的谣言检测方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824021

Zhong Nanjiang, Zhou Guomin, Ding Weijie, Zhang Jiawen

引用次数: 1

A New Multistage Filtering Method for Real-Time Tide Observation Method 实时潮汐观测方法的多级滤波新方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824841

Hai Guo, Yanyan Wang, Yifei Zhang, Peng Wang, G. Wang

引用次数: 0

Electromotive Force Based State of Charge Estimation for Primary Battery Powered Devices 基于电动势的原电池供电器件电荷状态估计

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824740

H. Dai, Wei Liu, Jing Mao, Jian Xie, Shunren Hu

{"title":"Electromotive Force Based State of Charge Estimation for Primary Battery Powered Devices","authors":"H. Dai, Wei Liu, Jing Mao, Jian Xie, Shunren Hu","doi":"10.1109/icet55676.2022.9824740","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824740","url":null,"abstract":"Due to its low cost, primary battery such as alkaline battery and carbon battery is still one of the main options for powering low power devices, such as wireless sensor nodes. In order to prolong the survival time, it is necessary to accurately estimate the State of Charge (SOC) of the battery and then dynamically adjust the working modes of device. Among the existing SOC estimation methods, Electromotive Force (EMF) is generally recognized as an accurate indicator. Taking popular alkaline and carbon batteries as examples, this paper studies the relationship of EMF and SOC through intermittent discharge experiments with both constant current and constant resistance loads. Experimental results show that the change patterns of SOC with EMF are very similar for batteries with the same chemical material. Meanwhile, the discharge mode (constant current or constant resistance) and load have very little effect on the relationship of EMF and SOC. Then, the SOC estimation models based on EMF are established using different fitting methods. Verification results show that, for the target primary batteries, the piecewise linear fitting method is the most accurate, and its estimation error is no more than 1.4%.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066697","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

Application of Terahertz Technology in Delamination Defect Inspection for Vehicle High-Voltage Cable Terminals 太赫兹技术在车用高压电缆端子分层缺陷检测中的应用

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824001

Shuaibing Li, Bing-zheng Cao, Yongqiang Kang, Hongwei Li, Baopeng Lu, Haiying Dong

{"title":"Application of Terahertz Technology in Delamination Defect Inspection for Vehicle High-Voltage Cable Terminals","authors":"Shuaibing Li, Bing-zheng Cao, Yongqiang Kang, Hongwei Li, Baopeng Lu, Haiying Dong","doi":"10.1109/icet55676.2022.9824001","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824001","url":null,"abstract":"The cable terminals are subjected to the combined action of transient overvoltage impact, rapid alternating cold and heat and long-term high-frequency vibration, resulting in the stratification of its internal insulation layer, micro air gap and partial discharge. Therefore, this paper studies the influence of delamination defect in vehicle high-voltage cable terminals on terahertz time-frequency domain. A three-layer composite structure is established to simulate the internal defects of vehicle high-voltage cable terminals. The results show that the THz absorption spectrum can be used to quickly judge whether there are defects, and the ability of absorbing terahertz wave in the area with insulation delamination is greater than that in the normal area. The location and geometric information of the defect can be roughly determined by multi-mode terahertz imaging of the sample with insulation delamination defect, and the imaged defect areas are verified by the area detection method based on image segmentation. Finally, the thickness of stress tube layers, air gaps and main insulation layers can be quickly estimated by terahertz time domain spectrum. Through Terahertz Absorption spectrum, terahertz multimode imaging and terahertz time domain spectrum, the internal delamination defects of vehicle high-voltage cable terminals can be comprehensively characterized.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124530661","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

Remaining Useful Life Prediction of Proton Exchange Membrane Fuel Cell Based on Deep Learning 基于深度学习的质子交换膜燃料电池剩余使用寿命预测

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825412

Xiangwei Wang

{"title":"Remaining Useful Life Prediction of Proton Exchange Membrane Fuel Cell Based on Deep Learning","authors":"Xiangwei Wang","doi":"10.1109/icet55676.2022.9825412","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9825412","url":null,"abstract":"Proton Exchange Membrane Fuel Cell (PEMFC) undertakes limitations such as insufficient stability and short service life. Hence, it is imperative to predict the remaining service life (RUL) of PEMFC accurately, which is closely related to avoiding accident risks, detecting failures, and maximizing profits. In this paper, a novel deep learning algorithm is proposed for the RUL prediction of PEMFC, which comprises bi-directional long-short-term memory recurrent neural network (Bi-LSTM-RNN), attention mechanism, and deep neural network (DNN). Furthermore, the correlation coefficient analysis method is adopted to determine the stack voltage as the aging index. The proposed algorithm is compared with five other machine learning algorithms on a 1kW PEMFC stack data set provided by FCLAB. Experimental results demonstrate that the proposed algorithm has a significant improvement in prediction accuracy with mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE) on test set are 0.0044, 0.00003 and 0.0056 respectively. This indicates that the proposed RUL prediction method is effective and trustworthy. Finally, the RUL of the PEMFC stack under a constant operation condition is predicted based on the developed algorithm, and the result shows the RUL of this stack is 9467.8 hours.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129153161","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: 1

Remote Calibration of Digital Input Electricity Meters 数字输入电表的远程校准

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824808

Wu Xia, Xiankun Qin, Wenxing Lu, Junhua Liang, Junyan Ou

引用次数: 0