2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)最新文献_第7页

Estimation of near-surface NO2 based on TROPOMI and provincial control stations' data using machine learning 基于TROPOMI和省级测控站数据的近地表NO2机器学习估算

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021549

F. Deng, Yijian Chen, Lanhui Li, Cong Wang, Luwei Cao, Chaofeng Peng

{"title":"Estimation of near-surface NO2 based on TROPOMI and provincial control stations' data using machine learning","authors":"F. Deng, Yijian Chen, Lanhui Li, Cong Wang, Luwei Cao, Chaofeng Peng","doi":"10.1109/WCMEIM56910.2022.10021549","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021549","url":null,"abstract":"Near-surface nitrogen dioxide NO2 concentration is an essential indicator for ambient air quality monitoring. In this study, the extreme gradient boosting (XGBoost) algorithm and random forest algorithm in machine learning are used to combine the TROPOspheric Monitoring Instrument(TROPOMI) high-resolution remote sensing images, meteorological and other auxiliary data with ground-level NO2 concentration monitoring data (including national and provincial control stations) to construct a dataset of estimation samples and conduct research on estimating the near-surface NO2 concentration on a grid with a spatial precision of 0.05° in Sichuan Province. According to the ten-fold cross-validation results of the test and training sets, the XGBoost model has better accuracy and generalization performance (R2=0.875, RMSE=4.774 ug/m3), In addition, SHapley Additive exPlanation(SHAP) was employed after its development, which showed that TROPOMI satellite data contributed the most to the near-surface NO2 estimation. By contrasting the results with the data set using only national control stations, we can see that after including the atmospheric monitoring data from provincial control stations, the estimated NO2 concentration near the ground is more consistent with the data distribution of ground monitoring stations. Moreover, the spatial distribution of concentration is more continuous and homogeneous, providing essential support for local governments to regulate the atmospheric environment precisely.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124172138","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

Ultrasonic beamforming algorithm based on deep learning and optimal model selection 基于深度学习和最优模型选择的超声波束形成算法

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021439

Qiong Zhang, Zhengnan Yin, Yong-Jian Kuang

{"title":"Ultrasonic beamforming algorithm based on deep learning and optimal model selection","authors":"Qiong Zhang, Zhengnan Yin, Yong-Jian Kuang","doi":"10.1109/WCMEIM56910.2022.10021439","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021439","url":null,"abstract":"This paper proposes a method for ultrasonic beamforming based on deep neural network (DNN) with model selection based on contrast-to-noise ratio to suppress the degradation sources of image quality. The contrast-to-noise ratio (CNR), one of the image quality evaluation indicators, is combined with the loss function of fidelity in the network model to form a new loss function: CNR-LOSS, which is expected to improve the correlation between loss function and ultrasonic image quality. The training data comes from the ultrasonic simulation signals of cysts and point targets, and the input of DNN is the channel signal and its corresponding wavelet coefficients. DNN divides the parallel input into two types: on-axis signal and off-axis signal, and expects to retain only on-axis signal and clear off-axis scattering. In addition, the performance of DNN beamformer with and without CNR-LOSS is compared, and the effect of loss functions with different CNR weights on image quality is analyzed. Compared with the DNN beamformer without CNR-LOSS, DNN beamformer with CNR-LOSS and appropriate CNR weights achieves higher image quality in the experiment.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125355203","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

Modeling and Testing Analysis of Prepositioning Accuracy of CNC Turret 数控转塔预定位精度建模与测试分析

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021535

Jie Yang, Manxin Wang, Yibo Yang, Lanbin Li, Haibin Lai, Minghao Wang

{"title":"Modeling and Testing Analysis of Prepositioning Accuracy of CNC Turret","authors":"Jie Yang, Manxin Wang, Yibo Yang, Lanbin Li, Haibin Lai, Minghao Wang","doi":"10.1109/WCMEIM56910.2022.10021535","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021535","url":null,"abstract":"CNC turret is the key functional part of numerical control lathe. Whether the prepositioning accuracy reaches the standard is directly related to whether the positioning accuracy link of the CNC turret can proceed smoothly, and then affects the machining accuracy of the numerical control lathe. In this paper, according to the structure of CNC turret, the main parts that affect the prepositioning accuracy are the gear and its supporting shaft, and then the mapping relationship between the manufacturing and assembly accuracy of the above parts and the prepositioning accuracy of the end is constructed. On this basis, I systematically studied the effects such as module of gear, tooth number, shaft runout clearance and other factors on prepositioning accuracy. The end accuracy probability distribution of gear pairs with different accuracy levels was obtained based on Monte Carlo method, and the probability of the prepositioning accuracy of the CNC turret within 8 arc min was obtained through 100,000 data simulation and statistics. Finally, a checking instrument of prepositioning accuracy of CNC turret is built, and the actual prepositioning accuracy of CNC turret is obtained based on the test.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125465301","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

Dynamic Modelling and Analysis of a Novel Redundantly Actuated Parallel Spindle Head 一种新型冗余驱动并联主轴头的动力学建模与分析

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021492

K. Wang, Zhen He, Chengyang Wu, Fufu Yang, Jun Zhang

引用次数: 0

Vision-driven High Precision Positioning Method for Bracket Assembly with Industrial Robot 工业机器人支架装配的视觉驱动高精度定位方法

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021493

Cheng-Cheng Li, Q. Bi

{"title":"Vision-driven High Precision Positioning Method for Bracket Assembly with Industrial Robot","authors":"Cheng-Cheng Li, Q. Bi","doi":"10.1109/WCMEIM56910.2022.10021493","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021493","url":null,"abstract":"The quality of the bracket assembly is an important guarantee for the successful launch of the rocket. The assembly accuracy of the bracket installed inside rockets is affected by bracket pose estimation, robot grasping, and positioning. We have proposed a recognition and pose estimation algorithm that integrates 2D and 3D vision to improve the bracket assembly accuracy. A position-based visual servo bracket grasping method is used to avoid the poor absolute positioning accuracy of the industrial robot. Then a small field-of-view vision system was established to achieve precise positioning of the bracket. We also developed a quick and precise hole detection algorithm based on YOLOv5 and caliper vision operator to compensate for the absolute positioning error of industrial robots. With the help of a vision servo grasping strategy and high precision re-positioning algorithm, the bracket's assembly hole positioning accuracy can finally reach 0.05mm. It is worth mentioning that the methods proposed in this paper have been successfully applied in the flexible automatic assembly line of the brackets used in rockets.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123861392","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 Monitoring and Early Warning of Substation Geological Subsidence Based on High-Precision Beidou Positioning 基于高精度北斗定位的变电站地质沉降监测预警研究

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021387

Zi-sheng Li, Shuo Wang, Haomiao Xin, Zhuwei Liang, Zhi Li

{"title":"Research on Monitoring and Early Warning of Substation Geological Subsidence Based on High-Precision Beidou Positioning","authors":"Zi-sheng Li, Shuo Wang, Haomiao Xin, Zhuwei Liang, Zhi Li","doi":"10.1109/WCMEIM56910.2022.10021387","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021387","url":null,"abstract":"The geological subsidence of substations is sudden and complex, and its rapid and accurate monitoring and early warning is of great significance to the safe and stable operation of the power system. This paper presents a method for monitoring the geological subsidence of substations with high-precision Beidou positioning technology. On the one hand, it can optimize the PTK technology, and on the other hand, it can comprehensively process the data of the reference station and monitoring station and use the reference station as a reference to grasp and understand. The deformation of monitoring points ensures the accuracy of monitoring. In this paper, the output of pseudorange, carrier phase and other information of high-precision Beidou satellites is used to meet the requirements of positioning solution. Secondly, the principle of vertical and horizontal displacement monitoring of geology substations of high-precision Beidou satellite receivers is given. Finally, the settlement is given. The selection principle of monitoring base station, monitoring station and communication network. The high-precision Beidou positioning monitoring method proposed in this paper can quickly, real-timely, and accurately monitor and warn the geological subsidence of substations, changing the previous situation of manual monitoring of geological subsidence.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176034","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 and Optimization of a Kangaroo-inspired Jumping Robot 袋鼠型跳跃机器人的设计与优化

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021552

B. Liu, W. Ge, Yuzhu Li, Dianbiao Dong

引用次数: 0

Research on Structure Optimization and Internal flow of Cyclone in Catalytic Cracking Device 催化裂化装置旋流器结构优化及内部流动研究

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021489

Wang Wan-lin

{"title":"Research on Structure Optimization and Internal flow of Cyclone in Catalytic Cracking Device","authors":"Wang Wan-lin","doi":"10.1109/WCMEIM56910.2022.10021489","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021489","url":null,"abstract":"The third stage cyclone (TTS) in the catalytic cracking device is the pivotal part to separate and recover catalyst particles, and it can ensure the normal operation of follow-up process. Internal flow patterns in it are particularly important for the selection and use of the equipment. In this paper, the structure parameters of the PV third stage cyclone of 2.8 million tons/year catalytic cracking device in a chemical plant are determined. Simulation of the turbulent 3D flow has been done with Reynolds stress model (RSM) and discrete phase model (DPM). Velocity and pressure drop patterns in the cyclone, effects of the inlet duct dimension on the separation performance and pressure drop, and the motion and separation efficiency of different diameter particles were analyzed. The results indicate that the flow field inside the cyclone forms a typical Rankin vortex flow pattern, and simulated pressure drops agree well with experimental results, which validates the numerical simulation method. When the inlet area is unchanged, the separation efficiencies first increase and then decrease with the increase of inlet height, and the optimal ratio of inlet height to cyclone's body diameter is 0.58. The migration trajectory of small particles have great randomness, and they are easy to escape from the vortex finder affected by the gas flow. The large particles rotate along the relatively large diameter and can be separated well. These results can provide the reference for the flow mechanism analysis and the industrial application of TTS.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125570086","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

The Research of Droppable Ballast Device of Manned Submersible based on Computer-aided Ergonomics design 基于计算机辅助工效学设计的载人潜水器可落碴装置研究

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021460

Ren Yu-gang, Zhang Han-Bin, Shi Xian-peng

引用次数: 0

Finite Element Analysis of Surface Ship Hull Thin Section Lifting Scheme 水面舰艇船体薄壁提升方案的有限元分析

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021422

Hao Ge, Sheng Yang

引用次数: 0