发布求助
文献互助 智能选刊 最新文献

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )最新文献

筛选
英文 中文
Improved hybrid control LLC resonant converter for electric vehicle charging 用于电动汽车充电的改进型混合控制LLC谐振变换器
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9930053
Zhen Dong, Dangshu Wang
{"title":"Improved hybrid control LLC resonant converter for electric vehicle charging","authors":"Zhen Dong, Dangshu Wang","doi":"10.1109/IAEAC54830.2022.9930053","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9930053","url":null,"abstract":"For on-board chargers, it is difficult for the traditional inverter-controlled LLC resonant converter to achieve a wide-range voltage output, and it is not conducive to the optimal design of the resonant converter. In order to solve these problems, an improved control method combining pulse frequency modulation (PFM) and phase-shift pulse modulation (PS-PWM) is proposed, which adopts phase-shift control in the case of low voltage and low power, and adopts frequency control for high voltage and high power, effectively broadening the output range of the LLC. Compared with the traditional variable frequency control, the improved hybrid control resonant converter has the following advantages: wide voltage range, narrow frequency and low circulating current loss. Finally, the validity and feasibility of the converter design and control strategy are verified by simulation.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127803782","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
Service-based cloud platform application monitoring analysis 基于服务的云平台应用监控分析
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929714
Yuecan Liu, Jiangang Sun, Yuzhu Chang, Qingfu Yang, Linwei Yang, Jing Li
{"title":"Service-based cloud platform application monitoring analysis","authors":"Yuecan Liu, Jiangang Sun, Yuzhu Chang, Qingfu Yang, Linwei Yang, Jing Li","doi":"10.1109/IAEAC54830.2022.9929714","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929714","url":null,"abstract":"Aiming at the problem of insufficient ability to collect and analyze exceptions in the whole process of application performance monitoring methods in cloud platforms, a cloud platform-based method is proposed. Application Anomaly Detection and Bottleneck Identification System for Service Components, which provides customizable metrics for applications on multi-tier cloud platforms Value monitoring and analysis capabilities. The system first collects cloud platform service call data at the front-end application service layer and associates it with abnormal events;A customized anomaly detection method is configured to achieve the optimal detection effect; finally, performance anomalies caused by non-workload changes are identified and bottlenecks are identified. The experimental results show that the monitoring system can quickly and accurately detect different types of abnormal events and identify performance bottlenecks, which can meet the performance requirements of applications under the cloud platform. Ability to monitor demand.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134464710","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
Garbage classification system design 垃圾分类系统设计
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929867
Jie Zhou, JingYan He, JiaYu Tao
{"title":"Garbage classification system design","authors":"Jie Zhou, JingYan He, JiaYu Tao","doi":"10.1109/IAEAC54830.2022.9929867","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929867","url":null,"abstract":"An intelligent garbage automatic classification device based on single chip microcomputer STC89C52 is designed. The device is equipped with various modules on the basis of ordinary garbage cans to realize the functions of identifying garbage types, automatically classifying garbage after putting it in, and detecting the remaining space in the garbage cans, which improves the intelligence of the system and the market development value of the device. In the design process, the mechanical structure part of itself is analyzed by SolidWorks 3D modeling. After garbage management and classification, the recyclable utilization rate of resources can be maximized, and the amount of garbage treatment can be reduced. Garbage can be classified and treated before manual treatment to convert it into new energy.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134642827","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
Design of multi-channel redundant control system based on DSP and FPGA 基于DSP和FPGA的多通道冗余控制系统设计
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929811
Y. Liang, Li Chen, Bingshi Xu
{"title":"Design of multi-channel redundant control system based on DSP and FPGA","authors":"Y. Liang, Li Chen, Bingshi Xu","doi":"10.1109/IAEAC54830.2022.9929811","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929811","url":null,"abstract":"Whether in the field of industrial automation or military industry, redundancy design is the most common and effective way to improve the safety and reliability of control system. Taking the factors of system stability and economy into consideration, this article uses dual-machine hot-backup system based on master-slave mode. In this article, DSP and FPGA are used as the CPU of the control system, which can communicate with the digital input board, digital output board and relay board through the backplane bus. The CPU, digital input board, output board and relay board in the control system need redundant design and in order to balance the specific working conditions and working modes, different redundancy optimization schemes are designed for different parts of the control system. The test platform is built to test the synchronization ability, fault detection ability and redundancy switching ability of the control system. The test results illustrate that the redundancy design scheme in this paper can improve the stability and reliability of the control system.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127070676","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 Parameter Adjustment Method of Cartographer Algorithm 制图师算法参数平差方法研究
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9930054
Ting Xia, Xin Shen
{"title":"Research on Parameter Adjustment Method of Cartographer Algorithm","authors":"Ting Xia, Xin Shen","doi":"10.1109/IAEAC54830.2022.9930054","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9930054","url":null,"abstract":"The values of parameters in Cartographer algorithm have a great effect on the precision of localization and mapping. However, the Cartographer algorithm has many parameters and different parameters affect each other. It means the workload of parameter adjustment is heavy, and the efficiency is low as well. To solve this problem, a method of parameter adjustment was proposed in this paper. Firstly, the parameters of Cartographer algorithm were classified, and the design principle of each parameter was analyzed to estimate its value range. Then, the algorithm was run with different value of each parameter which was in the same data set, and the running results were counted. The influence of parameter values on the algorithm was analyzed according to the given evaluation scheme. Finally, the appropriate values and the adjustment method of the parameters were given. The experiment results showed that the efficiency of parameter adjustment was improved with using the method.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115486550","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
Optimization Algorithm of Power Marketing AI Response System in the Era of Intelligent Technology 智能技术时代电力营销AI响应系统的优化算法
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929820
Liang Yu, Ligang Li, Zheng Wang, Yaoren Zhang
{"title":"Optimization Algorithm of Power Marketing AI Response System in the Era of Intelligent Technology","authors":"Liang Yu, Ligang Li, Zheng Wang, Yaoren Zhang","doi":"10.1109/IAEAC54830.2022.9929820","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929820","url":null,"abstract":"The intelligent question and answer platform can improve customer satisfaction, strengthen the self-service function of customers, and obtain business information conveniently and quickly. It is an effective means to reduce the company's overall operating costs and an important measure to promote the capacity building of remote service channels. The purpose of this paper is to study the optimization algorithm of the power marketing AI response system based on the era of intelligent technology. Combined with knowledge graph visualization and other technical means, the basic knowledge graph of the power industry is constructed, and an intelligent dialogue system is designed in combination with the constructed knowledge graph to help the power industry's customer service capabilities to improve, knowledge storage, knowledge management and other work to be carried out well. From the perspective of model evaluation indicators, this paper chooses the accuracy of the model as an important indicator to measure the efficiency of the model. In the relational classification model of information extraction, the comprehensive indicators of precision, recall, and F1 value of the BERT-BiLSTM-CRF knowledge extraction model are better than word embedding + BiLSTM + CRF.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115682859","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
Fault Fiagnosis Method of Micro-service Link based on QoS Reliability Comparison 基于QoS可靠性比较的微业务链路故障诊断方法
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929987
Xiaojie Qu, Rui Wan, Xin Xie, Limei Zhao
{"title":"Fault Fiagnosis Method of Micro-service Link based on QoS Reliability Comparison","authors":"Xiaojie Qu, Rui Wan, Xin Xie, Limei Zhao","doi":"10.1109/IAEAC54830.2022.9929987","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929987","url":null,"abstract":"In recent years, cloud native technology represented by micro-services is the main technical way to help enterprises realize digital transformation. However, while micro-service technology provides various convenience benefits, it also brings various operation and maintenance problems such as difficult fault diagnosis. In view of the large number of micro-services and long call links, which make it difficult to locate user fault problems, this paper carries out research on the key technologies of micro-service link enhancement based on QoS measurement, focuses on the fault diagnosis of micro-service links, and puts forward an end-to-end service call link fault diagnosis method. Through the comparison of reliability similarity of micro-service links, it can realize the rapid location of fault types and fault locations, Experiments show that the accuracy of this method to judge the fault type and location is more than 90%, which can meet the needs of developers to locate faults quickly in the production environment.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114809737","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
Joint Simulation of Simulink and Cruise to Study the Control Strategy of Pure Electric Vehicle 基于Simulink和Cruise的纯电动汽车控制策略联合仿真研究
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929881
Yuan-qin Wang, Chuanlong Ji, Xin Wang, Xu Wang, Cheng Li
{"title":"Joint Simulation of Simulink and Cruise to Study the Control Strategy of Pure Electric Vehicle","authors":"Yuan-qin Wang, Chuanlong Ji, Xin Wang, Xu Wang, Cheng Li","doi":"10.1109/IAEAC54830.2022.9929881","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929881","url":null,"abstract":"With the worsening of resource and environmental problems, the research and development and optimization of pure electric vehicles have been gradually paid attention by the majority of scholars. Whether the power parameters of the pure electric logistics vehicle are reasonably matched or not is crucial for the whole vehicle, which directly determines the design index of its power economy. In this paper, we design a 4.5T pure electric logistics vehicle, select key components for the target vehicle, and use AVL-CRUISE software for modeling and simulation analysis to verify the power and economy of the vehicle. Based on MATLAB/Simulink, a reasonable model of the vehicle control strategy is designed, and a dynamic link library DLL file is generated for joint simulation with the model built by AVL-CRUISE software, and the rationality and superiority of the proposed control strategy is proved through comparative analysis of simulation data.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114995356","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
Fast convergence time synchronization based on the most rapid descent method 基于最快速下降法的快速收敛时间同步
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929834
Wenjie Cai, Xiye Guo, Kai Liu, Changshui Liu, Suyang Liu
{"title":"Fast convergence time synchronization based on the most rapid descent method","authors":"Wenjie Cai, Xiye Guo, Kai Liu, Changshui Liu, Suyang Liu","doi":"10.1109/IAEAC54830.2022.9929834","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929834","url":null,"abstract":"As the application area of time synchronization technology becomes more and more extensive, people not only focus on the accuracy and stability of synchronization, but also start to pursue the speed of synchronization convergence. The digital phase locked loop (DPLL) model is used to achieve the slave clock synchronization with the master clock. The fastest descent method is proposed to reduce the convergence time, by optimizing the filter parameters of the DPLL adaptively. The simulation and experimental results demonstrate that the filter parameters optimization based on the fastest descent method significantly improve the synchronization accuracy and convergence speed of the time synchronization system, finally we achieve an accuracy of 58ps within $100s$ convergence time which compared to manually empirically parameters.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117035123","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 multi-sensor information fusion algorithm of fan detection robot based on improved BP neural network 基于改进BP神经网络的风机检测机器人多传感器信息融合算法研究
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929596
Lele Jin, Zhiwei Kou, Liqiang Liu, Yongsheng Qi, Xiaoming Cui
{"title":"Research on multi-sensor information fusion algorithm of fan detection robot based on improved BP neural network","authors":"Lele Jin, Zhiwei Kou, Liqiang Liu, Yongsheng Qi, Xiaoming Cui","doi":"10.1109/IAEAC54830.2022.9929596","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929596","url":null,"abstract":"The functional structure of the fan operating system is complex, and the condition detection of a single signal source will inevitably result in errors and false alarms. The diagnostic method of information fusion can make full use of more information. Thus the problem can be avoided: the Fan Detection robot is equipped with multiple sensors, and these sensors are fused by a reasonable information fusion algorithm. The fused sensor information can obtain a more accurate statement of the fan. The purpose of saving cost and making the fan run stably aims to reduce man-made overhauls. BP neural network has the capability of non-linear mapping, self-learning and self-adaptation, and the fusion performance is good, the application of a wide range. Therefore, BP Neural Network algorithm can be chosen to carry out sensor information fusion.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116235294","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信