Proceedings of the 6th International Conference on Intelligent Information Processing最新文献_第2页

A Visual Classification Method for Milling Surface Roughness Based on Convolutional Neural Network 基于卷积神经网络的铣削表面粗糙度视觉分类方法

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480596

Huaian Yi, Yonglun Chen, Lingli Lu

{"title":"A Visual Classification Method for Milling Surface Roughness Based on Convolutional Neural Network","authors":"Huaian Yi, Yonglun Chen, Lingli Lu","doi":"10.1145/3480571.3480596","DOIUrl":"https://doi.org/10.1145/3480571.3480596","url":null,"abstract":"∗At present, most milling surface roughness detection is still completed by the traditional contact roughness measuring instrument. Aiming at the problem that the traditional contact roughness measuring instrument has a strong dependence and the measurement speed is slow, this paper will design a visual detection method that is consistent with the working environment, which belongs to the non-contact measurement. This method, firstly design special light source, illumination mode, complete the fill light to highlight image roughness related characteristics, and then the key hardware such as CCD camera is used to collect image data sets, finally based on convolutional neural network detection technology, namely through the end-to-end image analysis, then using convolution operation and comprehensive processing roughness classification model. Finally, the surface roughness can be classified accurately and rapidly predicted. The results show that the accuracy of surface roughness classification is 97%, and the time is much higher than that of the traditional contact roughness measuring instrument.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116157300","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 the Correlation between Extrusion Parameters and Screw Failure Based on Fluent 基于Fluent的挤压参数与螺杆失效相关性研究

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480608

Jiafang Pan, M. Liang, Faguo Huang

引用次数: 0

Rock classification model based on transfer learning and convolutional neural network 基于迁移学习和卷积神经网络的岩石分类模型

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480595

Huaian Yi, Jinzhao Su, Runji Fang

引用次数: 1

Finite Element Simulation Analysis of Full-focus Ultrasonic Inspection of Steel Plate Weld Defects 钢板焊缝缺陷全聚焦超声检测的有限元模拟分析

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480609

Yun Xie, Lujing Zhou, Xiaobin Zhang

引用次数: 0

Fault diagnosis of rolling bearings in multiple conditions based on EMD and PSO-SVM 基于EMD和PSO-SVM的滚动轴承多工况故障诊断

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480594

Zhihao Li, Lieping Zhang, Xin Zhang, R. Li

{"title":"Fault diagnosis of rolling bearings in multiple conditions based on EMD and PSO-SVM","authors":"Zhihao Li, Lieping Zhang, Xin Zhang, R. Li","doi":"10.1145/3480571.3480594","DOIUrl":"https://doi.org/10.1145/3480571.3480594","url":null,"abstract":"∗In order to improve the accuracy of fault diagnosis of rolling bearings, a fault diagnosis method based on empirical mode decomposition and particle swarm optimization support vector machine is proposed. After preprocessing the rolling bearing data under multiple operating conditions, the vibration signal is decomposed by empirical mode decomposition (EMD). The appropriate intrinsic mode function is selected to construct the energy feature vector as the rolling bearing fault feature vector. The particle swarm algorithm is used to optimize the parameters of the support vector machine, and the single fault depth and multiple fault depth data samples are respectively selected for the training and testing of SVM and Particle Swarm Optimization – Support Vector Machine (PSO-SVM). MATLAB experiment results show that PSO-SVM significantly improves the accuracy of rolling bearing fault diagnosis under multiple operating conditions compared with SVM, and the average fault diagnosis accuracy is 99.32% and 95.43%, which can be used as the evaluation standard of rolling bearing fault diagnosis.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125767104","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

Suppression of random intensity error for the measurement of surface shape by using a novel phase shifting algorithm 基于相移算法的曲面形状测量随机强度误差抑制

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480611

Fu-qing Miao, Seokyoung Ahn

引用次数: 0

Research on Walking Speed of Sugarcane Harvester Based on Machine Vision 基于机器视觉的甘蔗收割机行走速度研究

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480627

Z. Shen, Wanwei Chen, Zhikang Dong

{"title":"Research on Walking Speed of Sugarcane Harvester Based on Machine Vision","authors":"Z. Shen, Wanwei Chen, Zhikang Dong","doi":"10.1145/3480571.3480627","DOIUrl":"https://doi.org/10.1145/3480571.3480627","url":null,"abstract":"During the operation of the sugarcane harvester, due to the uneven planting density of sugarcane, reasonable control of the walking speed of the sugarcane harvester has an important impact on the quality of sugarcane cutting. If the traveling speed of the sugarcane harvester can be adjusted according to the complex working conditions of the sugarcane field, then the sugarcane harvester can effectively reduce the broken rate, loss rate, impurity rate and reduction of sugarcane ratoons while ensuring a certain harvest rate. Blockage of sugarcane logistics channels. To this end, this paper proposes a scheme based on machine vision to assist the sugarcane harvester in harvesting operations. The machine vision is used to judge the sugarcane density in the working area in front of the sugarcane harvester, so as to reasonably select different grades of travel speed. First, the histogram is used to count the pixels of the original image, and the characteristics of the original image are analyzed. In order to make the image more ideal, the original image is equalized. The processed image is then based on the histogram technique to compare the sugar cane in the image. Perform segmentation; then use mathematical morphology to eliminate the noise after segmentation; finally, count the density of sugarcane inside the picture. Through the above design, it can be seen that the core part of the design of the small spouted bed dryer is the design of the blower and heater temperature. According to the calculation of the required wind speed and wind temperature for drying, the rate and output of drying materials can be determined.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128603328","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

Kinematics and Dynamics Analysis and Simulation of Spherical 4R Mechanism 球形4R机构的运动学与动力学分析与仿真

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480602

Kaihong Zhou, Zhe Yin, Xueqian Zhang

引用次数: 0

Research Status and Development of Feeding Device of Rubber Extruder 橡胶挤出机给料装置的研究现状与发展

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480607

Faguo Huang, Haifeng Zhou, Jiafang Pan

引用次数: 0

Design of Automatic Cleaning Robot of Water Surface on MCU 基于单片机的水面自动清洗机器人的设计

Proceedings of the 6th International Conference on Intelligent Information Processing Pub Date : 2021-07-29 DOI: 10.1145/3480571.3480606

Mingtao Li, W. Leng, Yu Zhang

{"title":"Design of Automatic Cleaning Robot of Water Surface on MCU","authors":"Mingtao Li, W. Leng, Yu Zhang","doi":"10.1145/3480571.3480606","DOIUrl":"https://doi.org/10.1145/3480571.3480606","url":null,"abstract":"This paper designs a surface automatic cleaning robot based on MCU. The system mainly uses control technology, communication technology, electronic technology, and sensor technology to realize the functions of automatic garbage cleaning and remote-control garbage cleaning. It can be widely used to clean up solid garbage, duckweed, and oil pollution on various oceans, lakes, rivers, beaches and other water surfaces, and it can also be used to clean some dangerous areas for remote operations. The system includes hardware design and software design. The hardware design mainly includes the upper computer circuit part and the lower computer circuit part. The software design implements the corresponding program which is based on the corresponding hardware module circuit. Through intelligent algorithms such as water surface target path optimization and autonomous barriers, the problems of global path plan and real-time obstacle avoidance are solved. This type of robot can not only realize automatic unattended clean-up of surface water, but also use NRF905 module to achieve fixed-point cleaning. After the practical test, the robot can achieve the desired goal.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127196206","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