Cao Xin, Dou Qiao, Shi Hongjie, Li Chunhe, Zhang Haikuan
{"title":"Design and Implementation of Debris Search and Rescue Robot System Based on Internet of Things","authors":"Cao Xin, Dou Qiao, Shi Hongjie, Li Chunhe, Zhang Haikuan","doi":"10.1109/ICSGEA.2018.00082","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00082","url":null,"abstract":"The terrain of disaster site is complex, the environment is dangerous and the rescue time is urgent. In view of these characteristics, a multi-function rescue robot system is proposed based on the key technologies of Internet of things, such as sensor GPS, single-chip microcomputer, Wi-Fi and Android. The system integrates sensing, motion, communication and operation ability, and realizes the auxiliary rescue platform with multi-technology fusion, multi-agent network. At the same time, the remote mobile control of the robot is realized. The feasibility of the scheme is verified by physical operation, which has important guiding significance and practical value to promote the development of rescue robot industry.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458632","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}
{"title":"Research on Maintenance and Fault Treatment of TD-LTE Equipment","authors":"Liu Wanni","doi":"10.1109/ICSGEA.2018.00041","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00041","url":null,"abstract":"With the construction of large scale TD-LTE eNodeB, the number and type of eNodeB fault will increase,the failure of eNodeB will directly affect the construction and network quality of TD-LTE system. This paper takes the Datang Mobile EMB5116 TD-LTE eNodeB as the platform, through the project practice, classifies and analyzes the typical faults of the TD-LTE eNodeB in the process of installation, opening, maintenance and optimization. According to the fault type, the fault location method is determined. The article sums up the process of fault handling on the base station, and then analyzes the positioning GPS fault, RF fault, transmission fault and processing method in the form of case,forms the eNodeB problem locating and troubleshooting case library of TD-LTE, Thus, it can effectively shorten the fault duration of eNodeB, improve the efficiency of fault repair, achieve the purpose of communication network security more effectively.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126979669","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}
{"title":"Track 3D Coordinate Fast Measurement Algorithm Based on Trajectory Method","authors":"Z. Hang, Zhao Yufei, Y. Jianzhong, Shao Yinxu","doi":"10.1109/icsgea.2018.00052","DOIUrl":"https://doi.org/10.1109/icsgea.2018.00052","url":null,"abstract":"With its fast, smooth and comfortable riding environment, high-speed rail has become the preferred travel tool for people. In order to guarantee the safe operation of high-speed railway, the geometrical state of high-speed railway must be tested. However, the existing detection methods and equipment are slow to measure, which can not meet the requirements of daily operation or maintenance of high-speed railway. For this purpose, this paper proposes a fast measurement method based on relative measurement and absolute measurement, which solves the problem of slow speed of external geometry parameters of the existing rail inspection equipment.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129077085","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}
{"title":"Application of Convolutional Neural Network in B-Rep Models Classification","authors":"Li Mengge, Wang Jihua","doi":"10.1109/ICSGEA.2018.00056","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00056","url":null,"abstract":"Aiming at the problems of expensive calculation and complex feature extraction of existing 3D models classification methods, this paper proposes a classification method based on convolutional neural network(CNN). This paper uses multi-view to represent 3D models, views contain information from multiple aspects of the model, and they have certain links. Constructing a convolutional neural network model, uses the features extracted from the multiple layers as a strongest descriptor. The classifier selects Softmax regression to solve the multiple classification experiments. The experimental results show that in 3D models classification CNN+Softmax had a higher accuracy rate compared to the traditional 3D models classification methods, whose accuracy rate is 86%.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114193350","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}
{"title":"Personalized Recommendation Method Based on Web Log Mining","authors":"Lin Yongqin, Xu Budong","doi":"10.1109/ICSGEA.2018.00109","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00109","url":null,"abstract":"As Web log mining is belonged to one of major technologies and tools to discover user's interest, in this paper, we propose a novel personalized recommendation method based on Web log mining. The proposed personalized recommendation system contains offline and online module. We consider three types of Web log files in this paper, include: 1) Sever log, 2) Error log, and 3) Cookie log. In addition, we analyze the internal structure of the Web log file. The main innovation of this paper is to introduce collaborative filtering in personalized recommendation. Particularly, we assume that users with similar rating behaviors are possible to have similar interest to an item. Next, we utilize the hierarchical clustering technology to cluster users according to their profiles. Finally, experimental results demonstrate that the proposed algorithm is able to achieve higher personalized recommendation results and lower calculation time.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984583","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}
{"title":"Application of Vlan and HSRP Technology in the Dual Core Campus Network","authors":"Yang Haiyan","doi":"10.1109/icsgea.2018.00088","DOIUrl":"https://doi.org/10.1109/icsgea.2018.00088","url":null,"abstract":"With the improvement of the stability of the campus network in Colleges and universities, the utilization rate of the network devices and links in the campus network has become the focus of the campus network. This paper introduces the concept of VLAN and HSRP, and uses dual core structure design in campus network. In order to further ensure the stability of campus network, VLAN and HSRP technologies are adopted to improve the utilization ratio of network devices and links.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132801838","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}
Ge Weichun, Wang Cenjiao, G. Kai, L. Jiajue, Wang Shunjiang
{"title":"Study on Large-Scale Clean Energy Dissipation Dispatch Method","authors":"Ge Weichun, Wang Cenjiao, G. Kai, L. Jiajue, Wang Shunjiang","doi":"10.1109/ICSGEA.2018.00023","DOIUrl":"https://doi.org/10.1109/ICSGEA.2018.00023","url":null,"abstract":"Because of the intermittent, volatile and random nature of most clean energy sources, it is difficult to control and is not easy to use. In the field of new energy power generation, the large-scale network access of energy power will not only increase the impact on the operation of the power grid, but also have a great impact on the existing power grid operation and management modes. With the increase of installed capacity such as wind power and photovoltaic power, the impact of volatility and randomness on the grid has also become apparent. In this paper, a large-scale dispatching solution is proposed to address the reality of large-scale clean energy generation in the power grid, and the impact of renewable energy generation uncertainty on the power grid is addressed.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127871141","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}
{"title":"Application of Neural Networks to Generating the Hot Processing Map of V150 Steel","authors":"L. Xiong, Li Jiaojiao, Ke-yang Wan, Q. Liao","doi":"10.1109/icsgea.2018.00029","DOIUrl":"https://doi.org/10.1109/icsgea.2018.00029","url":null,"abstract":"Isothermal hot compression of the V150 steel was conducted in the temperature range of 1173-1523K and the strain rate range of 0.01-10s-1, and with a height reduction of 60% on a Gleeble-3500 thermo-mechanical simulator. Friction correction and temperature rise correction were carried out to correct the obtained experimental data. Based on the experimental results, a neural network model was developed for the analysis and prediction of the flow behavior of the V150 steel. The model has been found capable of predicting the flow stress with great success. The correlation is 0.99999 and the relative error is 0.21%.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128225742","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}
{"title":"Optimize the Mechanical Processing Parameters Taking the Distance Concentration Immune Algorithm Into Account","authors":"Wenge Zhang","doi":"10.1109/icsgea.2018.00038","DOIUrl":"https://doi.org/10.1109/icsgea.2018.00038","url":null,"abstract":"In view of mechanical optimization design is a complex nonlinear optimization problem, in order to analyze the parameter optimization of mechanical processing in the distance concentration immune algorithm, the distance concentration immune algorithm is used to optimize the machining parameters, and at the same time establish its associated workpiece construction model. It performs discrete processing of solid elements and builds a macro model for the rest of the structure. According to the section hypothesis set up by Euler's beam theory, the constraint equation of the incremental displacement of the machining interface is obtained. By checking the size of the optimized value of the machining parameters to determine whether it is reasonable, to illustrate the effectiveness and feasibility of the method.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117352578","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}
Z. Tao, Li Hening, L. Jiajue, L. Zhigang, C. Cheng, Zhang Qiang
{"title":"Economic Benefits of Nuclear Power Plant Participating in Peak Load Regulation of Power System","authors":"Z. Tao, Li Hening, L. Jiajue, L. Zhigang, C. Cheng, Zhang Qiang","doi":"10.1109/icsgea.2018.00013","DOIUrl":"https://doi.org/10.1109/icsgea.2018.00013","url":null,"abstract":"In contemporary times, the global energy crisis and environmental pollution are becoming more and more serious, and mankind is constantly exploring the sustainable development of economy, energy and environment. In this context, nuclear power as an economic, clean, environmental protection of energy, has been favored by many countries. In this paper, the necessity and possibility of nuclear power network peak Regulation are analyzed in detail, firstly, the demand and current situation of peak regulation in domestic power network are analysed, and the main measures of power network peak shaving are studied. The research shows that with the development of nuclear power and the complication of power grids, the participation of nuclear power in peak regulation will be an indispensable means for the future power generation. This paper studies the economic benefits of the power plant participating in the peak load regulation from the angle of economy, at the same time, analyzes and collates the different methods and forms of the domestic and foreign nuclear power units participating in peak shaving, and lays the theoretical foundation for the nuclear power units to participate in the power network peak shaving.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117015433","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}