Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)最新文献_第6页

Design of Spinning Resistance Control System Based on MCU 基于单片机的纺丝阻力控制系统设计

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.25

Zhao Peng, Yang Gaoxiang, Wang Jia, Zhang Yan

引用次数: 0

Simulation Analysis of Flow Field Based on Horizontal Electrolytic Machine Tool 基于卧式电解机床的流场仿真分析

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.28

T. Tian, Cao Yan, Jia Feng, Zhang Leiyan

引用次数: 0

Design of Intelligent Monitoring System for Power Distribution Equipment Based on Cloud Edge Collaborative Computing 基于云边缘协同计算的配电设备智能监控系统设计

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.3

Xu Erbao, Li Yan, Y. Mingshun, Chen Xi

{"title":"Design of Intelligent Monitoring System for Power Distribution Equipment Based on Cloud Edge Collaborative Computing","authors":"Xu Erbao, Li Yan, Y. Mingshun, Chen Xi","doi":"10.2991/pntim-19.2019.3","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.3","url":null,"abstract":"With the development of sensor technology, when facing the explosive growth of large power data, the existing data acquisition and monitoring system (SCADA) is increasingly inadequate in data processing ability and lack of intelligence. In this paper, a novel intelligent monitoring system for power distribution equipment based on cloud edge collaborative computing is designed to effectively improve the efficiency and intelligence of mass data processing. At the edge end, an improved intelligent data acquisition device is adopted as the edge computing node, where the original data is collected and uploaded with variable frequency, in order to enhance the value density of data and reduce the network load and cloud load. In addition, data monitoring cloud platform is designed in the cloud, where a data mining model is established by using Apriori frequent item set algorithm, to provide more accurate monitoring and diagnosis services for upper applications, and guide the edge end to conduct intelligent control of devices. The reliability and performance of the designed system are validated by the intelligent monitoring project of box substation power distribution equipment. Keywords-Component; Edge Computing; Cloud Edge Collaboration Computing; Fault Diagnosis","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133424963","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

Design and Simulation Analysis of Flow Field in Turbine Blades ECM Process 涡轮叶片ECM过程流场设计与仿真分析

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.13

Zhao Han, Fan QingMing

引用次数: 0

Research of Multi-target Shop Schedule based on Particle Swarm and Grey Relation 基于粒子群和灰色关联的多目标车间调度研究

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.64

Du Laihong, Chen Hua, Fan Yadong

引用次数: 0

Research on Complex Tooth Surface Forming Technology of Spiral Face Gear 螺旋面齿轮复杂齿面成形技术研究

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.49

L. Weiwei, Zhu Yu-quan, Shang Hanhan, Zhao Yang

{"title":"Research on Complex Tooth Surface Forming Technology of Spiral Face Gear","authors":"L. Weiwei, Zhu Yu-quan, Shang Hanhan, Zhao Yang","doi":"10.2991/pntim-19.2019.49","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.49","url":null,"abstract":"In order to meet the needs of special structural gears in the development of aviation, aerospace and automobile industries, the existing gear processing methods can not meet the processing precision. If it is necessary to pay a large cost to meet the processing precision, a new Processing method hobbing processing method of spiral face gear. On the basis of a large number of previous studies, based on the differential geometry and spatial meshing principle, the tooth surface equation of the helical face gear is derived and the threedimensional model is simulated by coordinate transformation and meshing relationship; considering the assembly mode and motion of the hob and the helical face gear Relationship, the machining coordinate system is established, and the helical face gear tooth surface and meshing equation are obtained from the hob-based worm tooth surface equation and the Archimedes worm hob is designed. Finally, the conclusion is given and the research work that needs further development is proposed. Keywords-Spiral Face Gear; Hobbing Machining","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126160891","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 Image Steganography Information Detection Based on Support Vector Machine 基于支持向量机的图像隐写信息检测研究

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.82

L. Wenyuan, Wang Jian

{"title":"Research on Image Steganography Information Detection Based on Support Vector Machine","authors":"L. Wenyuan, Wang Jian","doi":"10.2991/pntim-19.2019.82","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.82","url":null,"abstract":"With the rapid development of the internet of things and cloud computing, users can instantly transmit a large amount of data to various fields, with the development of communication technology providing convenience for people's life, information security is becoming more and more important. Therefore, it is of great significance to study the technology of image hiding information detection. This paper mainly uses the support vector machine learning algorithm to detect the hidden information of the image, based on a standard image library, randomly selecting images for embedding secret information. According to the bit-plane correlation and the gradient energy change of a single bit-plane after encryption of an image LSB matching algorithm, gradient energy change is selected as characteristic change, and the gradient energy change is innovatively applied to a support vector machine classifier algorithm, And has very good detection effect and good stability on the dense image with the embedding rate of more than 40 percent. Keywords-Support Vector Machine; Information Detection; LSB Matching; Steganography","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130912936","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: 2

Study on Cathode Design Method for Electrochemical Machining of Turbine Blade 涡轮叶片电化学加工阴极设计方法研究

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.20

Li Lin, Cao Yan, Jia Feng, Zhi Xiaowei

引用次数: 0

Sleep Algorithm of Wireless Sensor Network Based on Low Duty Cycle 基于低占空比的无线传感器网络睡眠算法

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.98

Yu Shaojun

{"title":"Sleep Algorithm of Wireless Sensor Network Based on Low Duty Cycle","authors":"Yu Shaojun","doi":"10.2991/pntim-19.2019.98","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.98","url":null,"abstract":"WSN is a wireless network composed of a large number of static or mobile sensors in a self-organized and multi-hop way, which sense, collect, process and transmit the information of the perceived objects in the geographical area covered by the network in a cooperative way, and finally send these information to the owner of network. Aiming at the problems of uneven energy consumption and long working time in low duty cycle WSN network, a node adaptive sleep algorithm is proposed in this paper. The algorithm can schedule node sleep time slot and working time slot according to the wireless link condition, so as to ensure the minimum overall energy consumption under the condition of delay constraint. Energy sensing is added to the adaptive sleep mechanism to make no line according to adaptive adjustment of residual energy of the nodes, the energy consumption of each node is balanced and the working time of WSN network is improved. The simulation analysis shows that the algorithm can effectively reduce the working time slot and energy consumption while meeting the transmission delay, so as to improve the working period of the network. Keywords-Wireless Sensor Network; Low Duty Cycle; Adaptive Sleep; Energy Sensing; Wireless Node; Sleep Slot;","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133828372","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 Plastic Design Method of Reinforced Concrete Flexural Component 钢筋混凝土受弯构件塑性设计方法研究

Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) Pub Date : 2019-11-01 DOI: 10.2991/pntim-19.2019.95

Guo Ruixia, W. Junwei

引用次数: 0