Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101901
Yao Bowen, Yu Jinxiang, Peng Yu
Data transmission subsystem interface converter is one of the key equipments in satellite Assembly, integration and test (AIT). To realize high-speed data transmission and communication protocol verification for data transmission subsystem in satellite AIT, an interface converter is designed. In the paper, a high efficiency data transmission path and fast data format conversion method are proposed to solve the problem on converting large amounts of data with different interface protocol types at the same time. Moreover, a multi-port communication method based on a lightweight TCP/IP protocol (LwIP) stack is built, and achieve data interaction between multiple network ports on the the same network segment. Finally, the self-validation test results indicate that the interface converter has high efficiency and accurate data interface conversion capability and good stability, and also shows good performance in the actual satellite AIT, which provides a reliable reference for data protocol verification during satellite AIT.
{"title":"Data transmission subsystem interface converter for satellite AIT","authors":"Yao Bowen, Yu Jinxiang, Peng Yu","doi":"10.1109/ICEMI46757.2019.9101901","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101901","url":null,"abstract":"Data transmission subsystem interface converter is one of the key equipments in satellite Assembly, integration and test (AIT). To realize high-speed data transmission and communication protocol verification for data transmission subsystem in satellite AIT, an interface converter is designed. In the paper, a high efficiency data transmission path and fast data format conversion method are proposed to solve the problem on converting large amounts of data with different interface protocol types at the same time. Moreover, a multi-port communication method based on a lightweight TCP/IP protocol (LwIP) stack is built, and achieve data interaction between multiple network ports on the the same network segment. Finally, the self-validation test results indicate that the interface converter has high efficiency and accurate data interface conversion capability and good stability, and also shows good performance in the actual satellite AIT, which provides a reliable reference for data protocol verification during satellite AIT.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"4 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":"115551263","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101888
Ren Anhu, Niu Xiaotong, Bai Jingjing
In order to calculate the traffic volume of different models at traffic intersections, the problem of target classification of different models of car, bus and truck can not meet the real-time problem. A real-time detection method for traffic flow of different models at traffic intersections is proposed. Through the analysis and experiment of the YOLOv3 (you look only once) convolutional neural network model, the vehicle detection mAP (mean accuracy) value of different models is 87.06%, and the detection speed is 38 frames/s. The experimental results show that the method can effectively detect vehicles with different types of traffic intersections and realize real-time statistics of traffic intersection traffic.
为了计算交通路口不同车型的交通量，对不同车型的小汽车、公交车和卡车进行目标分类的问题不能满足实时性问题。提出了一种交叉口不同模型交通流的实时检测方法。通过对YOLOv3 (you look only once)卷积神经网络模型的分析和实验，不同模型的车辆检测mAP (mean accuracy)值为87.06%，检测速度为38帧/秒。实验结果表明，该方法能够有效检测不同类型交通路口的车辆，实现交通路口交通的实时统计。
{"title":"Application of YOLOv3 in road traffic detection","authors":"Ren Anhu, Niu Xiaotong, Bai Jingjing","doi":"10.1109/ICEMI46757.2019.9101888","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101888","url":null,"abstract":"In order to calculate the traffic volume of different models at traffic intersections, the problem of target classification of different models of car, bus and truck can not meet the real-time problem. A real-time detection method for traffic flow of different models at traffic intersections is proposed. Through the analysis and experiment of the YOLOv3 (you look only once) convolutional neural network model, the vehicle detection mAP (mean accuracy) value of different models is 87.06%, and the detection speed is 38 frames/s. The experimental results show that the method can effectively detect vehicles with different types of traffic intersections and realize real-time statistics of traffic intersection traffic.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"44 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":"115914978","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101643
Zhou Na, He Yunxuan, Deng Yaohual
This paper takes flexible material R2R processing equipment as the research object, aiming at the problem of roll shaft performance degradation during the actual processing, proposes a roll shaft performance degradation prediction method based on logical regression, and evaluates the roll shaft performance status through the established model. The experimental results show that the root mean square value of the processing roll shaft is not more than 0.1 when it is in normal operation, and when the performance index value of the roll shaft is below 0.8, it indicates that the roll shaft is damaged and needs to be maintained in time.
{"title":"Research on prediction method of roll shaft performance decline based on logical regression","authors":"Zhou Na, He Yunxuan, Deng Yaohual","doi":"10.1109/ICEMI46757.2019.9101643","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101643","url":null,"abstract":"This paper takes flexible material R2R processing equipment as the research object, aiming at the problem of roll shaft performance degradation during the actual processing, proposes a roll shaft performance degradation prediction method based on logical regression, and evaluates the roll shaft performance status through the established model. The experimental results show that the root mean square value of the processing roll shaft is not more than 0.1 when it is in normal operation, and when the performance index value of the roll shaft is below 0.8, it indicates that the roll shaft is damaged and needs to be maintained in time.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"20 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":"114754339","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101740
Z. Jiangmiao, M. Peixiang, Zhao Kejia, Qiao Mengyuan, Gao Xiuna
In this paper, a new traceable method for measuring RF AM signal is presented. The 50GHz broadband sampling oscilloscope which is the national pulse parameter reference is used to measure the RF AM signal. A waveform measurement system for radio frequency amplitude modulation signal is constructed. After correcting the time-based jitter error of the collected waveform, the phase, amplitude and frequency parameters of radio frequency amplitude modulation signal are accurately restored by the co-directional orthogonal method and the least square method. The experimental results show that the method of using broadband sampling oscilloscope to measure the RF amplitude modulation signal and digitizing demodulation signal has excellent results, which achieves the accurate recovery of waveform parameters, and provides a new idea for traceability measurement of time domain RF modulation signal.
{"title":"Measurement of RF AM signal based on broadband sampling oscilloscope","authors":"Z. Jiangmiao, M. Peixiang, Zhao Kejia, Qiao Mengyuan, Gao Xiuna","doi":"10.1109/ICEMI46757.2019.9101740","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101740","url":null,"abstract":"In this paper, a new traceable method for measuring RF AM signal is presented. The 50GHz broadband sampling oscilloscope which is the national pulse parameter reference is used to measure the RF AM signal. A waveform measurement system for radio frequency amplitude modulation signal is constructed. After correcting the time-based jitter error of the collected waveform, the phase, amplitude and frequency parameters of radio frequency amplitude modulation signal are accurately restored by the co-directional orthogonal method and the least square method. The experimental results show that the method of using broadband sampling oscilloscope to measure the RF amplitude modulation signal and digitizing demodulation signal has excellent results, which achieves the accurate recovery of waveform parameters, and provides a new idea for traceability measurement of time domain RF modulation signal.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"48 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":"117271004","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101563
Songhui Ma, Mingming Shi, Chufeng Hu
In order to improve the picking speed and accuracy of robot, the objects detection and localization algorithm based on Mask RCNN and stereo vision is designed to complete the autonomous detection and 3D spatial location of the target to be detected. Aiming at the problem that the detection accuracy of the neural network may be low and the object contour centroid estimation is not accurate, the ORB descriptor is used to confirm the target contour matching centroid. The experimental results show that the proposed algorithm can accurately accomplish the object detection and localization, and it is of great significance for the research of fully automatic picking robots.
{"title":"Objects detection and location based on mask RCNN and stereo vision","authors":"Songhui Ma, Mingming Shi, Chufeng Hu","doi":"10.1109/ICEMI46757.2019.9101563","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101563","url":null,"abstract":"In order to improve the picking speed and accuracy of robot, the objects detection and localization algorithm based on Mask RCNN and stereo vision is designed to complete the autonomous detection and 3D spatial location of the target to be detected. Aiming at the problem that the detection accuracy of the neural network may be low and the object contour centroid estimation is not accurate, the ORB descriptor is used to confirm the target contour matching centroid. The experimental results show that the proposed algorithm can accurately accomplish the object detection and localization, and it is of great significance for the research of fully automatic picking robots.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"241 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":"116141356","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101530
Bian Jingyi, L. Xiuli, Xu Xiaoli
Nowadays, the internal structure of the gearbox tends to be complicated and the working environment is subject to more interference factors, so that the collected vibration signal is rich in more interference items, which makes the fault diagnosis of the gearbox more difficult. In order to find a new method to improve the efficiency and accuracy of fault diagnosis of various components in the gearbox, this paper proposes to combine the powerful image recognition capability of convolutional neural network with short-time Fourier transform to apply to gearbox diagnosis. The method transforms the one-dimensional vibration signal into a two-dimensional spectrogram by short-time Fourier transform, and performs normalization preprocessing on the image, and inputs it into the convolutional neural network through Shuffle operation to perform feature extraction to train the model. Using the operations such as Dropout makes the model training faster, and finally uses the trained model to diagnose the fault. The experimental results show that this method can effectively complete a variety of gearbox fault diagnosis and provide a possibility of a diagnostic method connected with “big data”. Compared with the traditional neural network method, the method has a higher efficiency and accuracy of about 5 percent.
{"title":"Gearbox fault diagnosis method based on deep convolutional neural network vibration signal image recognition","authors":"Bian Jingyi, L. Xiuli, Xu Xiaoli","doi":"10.1109/ICEMI46757.2019.9101530","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101530","url":null,"abstract":"Nowadays, the internal structure of the gearbox tends to be complicated and the working environment is subject to more interference factors, so that the collected vibration signal is rich in more interference items, which makes the fault diagnosis of the gearbox more difficult. In order to find a new method to improve the efficiency and accuracy of fault diagnosis of various components in the gearbox, this paper proposes to combine the powerful image recognition capability of convolutional neural network with short-time Fourier transform to apply to gearbox diagnosis. The method transforms the one-dimensional vibration signal into a two-dimensional spectrogram by short-time Fourier transform, and performs normalization preprocessing on the image, and inputs it into the convolutional neural network through Shuffle operation to perform feature extraction to train the model. Using the operations such as Dropout makes the model training faster, and finally uses the trained model to diagnose the fault. The experimental results show that this method can effectively complete a variety of gearbox fault diagnosis and provide a possibility of a diagnostic method connected with “big data”. Compared with the traditional neural network method, the method has a higher efficiency and accuracy of about 5 percent.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"28 18 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":"123526058","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101452
Xu Xiaoli, J. Zhanglei, Liang Hao, Li Yuheng
Aiming at the difficulty of extracting early fault features of rolling bearings, a fault feature extraction method based on 1.5-dimensional envelope spectrum is proposed. It is proved by formula that the 1.5-dimensional spectrum can not satisfy the quadratic phase coupling, and can be used only when the quadratic frequency coupling is satisfied, which is very helpful for the 1.5-dimensional spectrum analysis of actual signals. Firstly, the vibration signal is demodulated by envelope, and the envelope signal is extracted. Then the envelope signal is processed by 1.5 dimension spectrum to extract the fault characteristics. Through the analysis of the experimental data, the validity of 1.5 dimension envelope spectrum in rolling bearing fault diagnosis is verified.
{"title":"Fault diagnosis method of rolling bearing based on 1.5-dimensional envelope spectrum","authors":"Xu Xiaoli, J. Zhanglei, Liang Hao, Li Yuheng","doi":"10.1109/ICEMI46757.2019.9101452","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101452","url":null,"abstract":"Aiming at the difficulty of extracting early fault features of rolling bearings, a fault feature extraction method based on 1.5-dimensional envelope spectrum is proposed. It is proved by formula that the 1.5-dimensional spectrum can not satisfy the quadratic phase coupling, and can be used only when the quadratic frequency coupling is satisfied, which is very helpful for the 1.5-dimensional spectrum analysis of actual signals. Firstly, the vibration signal is demodulated by envelope, and the envelope signal is extracted. Then the envelope signal is processed by 1.5 dimension spectrum to extract the fault characteristics. Through the analysis of the experimental data, the validity of 1.5 dimension envelope spectrum in rolling bearing fault diagnosis is verified.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"103 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":"116996228","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101487
Kang Tingting, Liu Yan, Zhang Lei, Huang Yan
The automatic detection of hand-held digital multimeter has always been a difficult problem in the field of electrical metrology due to the lack of corresponding programmable interface. In this paper, a multi-channel automatic detection device for digital multimeter is developed, which can simultaneously calibrate seven different types of digital multimeter. Taking DC voltage as an example, the results of calibration using the former calibration method are compared with those after using the device. The results show that the developed device can meet the daily calibration of hand-held digital multimeter and ensure the calibration. On the premise of accuracy, the efficiency is increased by 70%.
{"title":"Development of multi-channel automatic digital multimeter calibration device","authors":"Kang Tingting, Liu Yan, Zhang Lei, Huang Yan","doi":"10.1109/ICEMI46757.2019.9101487","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101487","url":null,"abstract":"The automatic detection of hand-held digital multimeter has always been a difficult problem in the field of electrical metrology due to the lack of corresponding programmable interface. In this paper, a multi-channel automatic detection device for digital multimeter is developed, which can simultaneously calibrate seven different types of digital multimeter. Taking DC voltage as an example, the results of calibration using the former calibration method are compared with those after using the device. The results show that the developed device can meet the daily calibration of hand-held digital multimeter and ensure the calibration. On the premise of accuracy, the efficiency is increased by 70%.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"33 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":"124480720","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101665
Liao Ruonan, Ren Shiwei, Wu Jinjie, Wang Ji, Sun Shengtao
The National Institute of Metrology, China(NIM) and the National Metrology Institute of Japan (NMIJ) conducted an international comparison of air kerma in the range of 25-35 KV of mammography. The measurement comparison uses an indirect comparison method. The National Institute of Metrology, as the leading laboratory, uses the molybdenum target reference free air ionization chamber to perform absolute measurement of (25~35) KV X-ray air kerma, and then under the same conditions. Pass the ionization chamber for calibration and give the scale factor. The ionization chamber is then calibrated in the radiation field of the other laboratory. The transfer ionization chamber was measured using a flat ionization chamber RC6M10167 from December 2018 to January 2018 under BIPM reference conditions. The deviation of the comparison results is between 0.3% and 0.4%.1
{"title":"Key comparison BIPM.RI(I)-K7 of the air-kerma standards of the NMIJ, Japan and the NIM in mammography x-rays","authors":"Liao Ruonan, Ren Shiwei, Wu Jinjie, Wang Ji, Sun Shengtao","doi":"10.1109/ICEMI46757.2019.9101665","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101665","url":null,"abstract":"The National Institute of Metrology, China(NIM) and the National Metrology Institute of Japan (NMIJ) conducted an international comparison of air kerma in the range of 25-35 KV of mammography. The measurement comparison uses an indirect comparison method. The National Institute of Metrology, as the leading laboratory, uses the molybdenum target reference free air ionization chamber to perform absolute measurement of (25~35) KV X-ray air kerma, and then under the same conditions. Pass the ionization chamber for calibration and give the scale factor. The ionization chamber is then calibrated in the radiation field of the other laboratory. The transfer ionization chamber was measured using a flat ionization chamber RC6M10167 from December 2018 to January 2018 under BIPM reference conditions. The deviation of the comparison results is between 0.3% and 0.4%.1","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"1 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":"125991053","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}
Pub Date : 2019-11-01DOI: 10.1109/ICEMI46757.2019.9101698
Cheng Zhongyi, Yang Mao-ji, K. Bo, Bian Xingyuan, Cui Junning
–The volume measurement accuracy of large-scale complex structural tanks in high-end large-scale equipment assembly directly affects the normal working hours of the equipment. The measurement efficiency is directly related to the development and production cycle of the equipment. In order to solve the problem of high-precision and high-efficiency in the measurement of complex structure tank volume in high-end large-scale equipment, a measurement method based on three-dimensional laser scanning which can simultaneously improve measurement accuracy and measurement efficiency is proposed. Firstly, the large-scale complex structure tank is idealized into a standard hollow cylinder structure. Secondly, the MATLAB programming simulation is used to generate the ideal point cloud data without error. Thirdly, the data is used to study the feature parameter extraction algorithm based on the least squares principle. Finally, the accuracy and effectiveness of the algorithm are verified by MATLAB simulation experiments.
{"title":"Feature parameter extraction algorithm for the large-scale complex structure tank based on 3D laser scanning volume measurement","authors":"Cheng Zhongyi, Yang Mao-ji, K. Bo, Bian Xingyuan, Cui Junning","doi":"10.1109/ICEMI46757.2019.9101698","DOIUrl":"https://doi.org/10.1109/ICEMI46757.2019.9101698","url":null,"abstract":"–The volume measurement accuracy of large-scale complex structural tanks in high-end large-scale equipment assembly directly affects the normal working hours of the equipment. The measurement efficiency is directly related to the development and production cycle of the equipment. In order to solve the problem of high-precision and high-efficiency in the measurement of complex structure tank volume in high-end large-scale equipment, a measurement method based on three-dimensional laser scanning which can simultaneously improve measurement accuracy and measurement efficiency is proposed. Firstly, the large-scale complex structure tank is idealized into a standard hollow cylinder structure. Secondly, the MATLAB programming simulation is used to generate the ideal point cloud data without error. Thirdly, the data is used to study the feature parameter extraction algorithm based on the least squares principle. Finally, the accuracy and effectiveness of the algorithm are verified by MATLAB simulation experiments.","PeriodicalId":419168,"journal":{"name":"2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"80 2 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":"124681548","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}
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