Measurement Science and Technology最新文献_第8页

Research on satellite laser ranging observation task scheduling method 卫星激光测距观测任务调度方法研究

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad180a

lv zequn, An Ning, Fan Cunbo, Chengzhi Liu, Zhenwei Li, Gao Jian, Guanyu Wen, Dong Xue

{"title":"Research on satellite laser ranging observation task scheduling method","authors":"lv zequn, An Ning, Fan Cunbo, Chengzhi Liu, Zhenwei Li, Gao Jian, Guanyu Wen, Dong Xue","doi":"10.1088/1361-6501/ad180a","DOIUrl":"https://doi.org/10.1088/1361-6501/ad180a","url":null,"abstract":"\u0000 Satellite Laser Ranging (SLR) is a technology with the highest precision of single measurement of satellite radial distance, which is developing rapidly in the direction of long-distance, high-precision and automation. SLR autonomous observation task scheduling is an important step in realizing station automation, which needs to satisfy the principles of satellite tracking priority and maximization of observation revenue at the same time. In order to improve the automation and intelligence level of SLR system, based on the framework of ant colony optimization algorithm, this paper combines the dynamic optimization characteristics of ant colony optimization algorithm and the local optimization characteristics of greedy algorithm, introduces the maximum-minimum ant mechanism, and puts forward a scheduling scheme for SLR observation task based on greedy ant colony algorithm (GACA). The results show that compared to the current scheduling methods applied in practice. The results show that compared with the current scheduling method applied in practice, the number of observation satellites obtained from the GACA algorithm-based observation task planning for the SLR system has been improved by 37.4%, the total arc segment of satellite observation with higher priority has been extended by 36.47%, and the total observation gain has been increased by 42.39% in the same period of time. It effectively solves the problems of low efficiency, easy to miss stars and less stars in the observation process in manual scheduling, and provides a simple, practical, efficient and convenient observation task planning scheme for the establishment of an unmanned SLR system.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"49 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-precision point cloud registration method based on volume image correlation 基于体图像相关性的高精度点云注册方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1817

Lianpo Wang

{"title":"High-precision point cloud registration method based on volume image correlation","authors":"Lianpo Wang","doi":"10.1088/1361-6501/ad1817","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1817","url":null,"abstract":"\u0000 With the rapid development of binocular reconstruction, fringe projection profilometry, and time of flight (ToF), 3D imaging technology has been widely applied in the field of 3D measurement. However, due to limited measurement range and self-occlusion, point cloud registration methods are often used to obtain larger or more complete 3D contours. Although many scholars have proposed various point cloud registration methods, the accuracy and efficiency of point cloud registration still need to be further improved, especially for point clouds with different density or non-rigid transformation. Image registration technology based on image correlation has been developed for many years and has achieved great success in fields such as computer vision, photomechanics, and photogrammetry. Therefore, a simple and direct idea in this paper is to transform the point cloud registration problem into volume image correlation problem. By this, an efficient image registration method based on Fast Fourier transform and an inverse compositional Gaussian Newton (IC-GN) optimization method that only needs to calculate the Hessian matrix once can be introduced into the point cloud registration field, which can greatly improve the speed and accuracy of point cloud registration. Comparative experiments have shown that our method has doubled the accuracy and efficiency compared to the ICP method, and its practicality has also been verified in impeller reconstruction experiments.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"63 11","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138952247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BDS-3 RTK/UWB semi-tightly coupled integrated positioning system in harsh environments 适用于恶劣环境的 BDS-3 RTK/UWB 半紧密耦合集成定位系统

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad180f

Peipei Dai, Sen Wang, Tianhe Xu, Nazi Wang, Min Li, Jianping Xing, F. Gao

{"title":"BDS-3 RTK/UWB semi-tightly coupled integrated positioning system in harsh environments","authors":"Peipei Dai, Sen Wang, Tianhe Xu, Nazi Wang, Min Li, Jianping Xing, F. Gao","doi":"10.1088/1361-6501/ad180f","DOIUrl":"https://doi.org/10.1088/1361-6501/ad180f","url":null,"abstract":"\u0000 Abstract Real-time kinematic (RTK) positioning is a commonly used technique in modern industry, which is limited by problems such as signal occlusion, attenuation, and multipath, especially in complex urban canyons. To maintain the consistency of centimeter-level accuracy, we adopt the ultra-wideband (UWB) enhanced BDS-3 RTK positioning algorithm. This paper proposed a semi-tightly coupled (STC) BDS-3 RTK/UWB integration positioning model. This model realizes the UWB and BDS-3 complement each other and integrate information in the position domain. Besides, height constraint is imposed on UWB positioning to mitigate the effect of poor positioning of UWB in height components. To verify the effectiveness of the above algorithm, we have compared and analyzed the positioning performance of the semi-tightly coupled BDS-3 RTK/UWB integration model and single BDS-3 RTK model in different occlusion environments. The positioning performance of static and kinematic of BDS-3 RTK/UWB STC based on different number of UWB anchors is further analyzed. The real-world experiment results show that the positioning accuracy of theproposed method can reach centimeter-level. Moreover, the proposed model can obtain more accurate positioning results than those of using single system, and it shows more obvious advantages, especially in the occlusion environment. In the occlusion environment, the RMS in the east, north, and up directions is improved from (0.629 m, 0.325 m, 1.160 m) of the BDS-3-only to (0.075 m, 0.074 m, 0.029 m). This study can provide a reference for the future development of high-precision, real-time, continuous positioning, navigation, and timing in complex urban environments.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"9 13","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A dual attention mechanism network with self-attention and frequency channel attention for intelligent diagnosis of multiple rolling bearing fault types 用于智能诊断多种滚动轴承故障类型的具有自我关注和频率通道关注的双重关注机制网络

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1811

Wenxing Zhang, Jianhong Yang, Xinyu Bo, Zhenkai Yang

{"title":"A dual attention mechanism network with self-attention and frequency channel attention for intelligent diagnosis of multiple rolling bearing fault types","authors":"Wenxing Zhang, Jianhong Yang, Xinyu Bo, Zhenkai Yang","doi":"10.1088/1361-6501/ad1811","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1811","url":null,"abstract":"\u0000 Different fault types of rolling bearings correspond to different features, the classical deep learning models using a single attention mechanism (AM) has limitations in feature diversity capturing. Therefore, a novel dual attention mechanism network (DAMN) with self-attention (SA) and frequency channel attention (FCA) is proposed for rolling bearings fault diagnosis, in which the SA mechanism is used to capture global relationships between the input features and the fault types, and the FCA mechanism applies mutli-spectral attention to learn the local useful information among different input channels. Results of the ablation study of the effects of FCA blocks show that including a proper combination of multiple frequency components is helpful to achieve higher accuracy. Experiments on the diagnosis of rolling bearings with multiple fault types were carried out. Results show that compared with the current fault diagnosis models, the proposed DAMN has better comprehensive performance on diagnosis accuracy and model convergence speed. It is also demonstrated that the backbone of DAMN based on dual AM can achieve better performance than the backbone based on single AM.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"28 8","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geological detection of hard rocks by GPR and signal time-frequency characteristics analysis in urban underground trenchless construction 城市地下非开挖施工中利用 GPR 对硬岩进行地质探测及信号时频特征分析

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1806

Liang Zhang, Sheng Zhang, Zongwei Deng, Tonghua Ling

{"title":"Geological detection of hard rocks by GPR and signal time-frequency characteristics analysis in urban underground trenchless construction","authors":"Liang Zhang, Sheng Zhang, Zongwei Deng, Tonghua Ling","doi":"10.1088/1361-6501/ad1806","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1806","url":null,"abstract":"\u0000 The hard rocks in the stratum can pose safety risks and hinder the progress of urban underground tunnel construction using shield and jacking methods, thereby reducing construction efficiency and increasing construction costs. This paper utilizes wavelet scale energy spectrum, wavelet packet theory and statistical methods to conduct research on the detection of special geological formations such as hard rocks and voids, as well as the analysis of their signal time-frequency characteristics based on the ground-penetrating radar (GPR) technique. On the basis of calibrating the permittivity of different types of rock blocks, we established a forward model for detecting hard rocks and voids, and the simulated signals were analyzed in the time and frequency domains. Subsequently, laboratory experiments were conducted to perform GPR tests on different types of hard rocks in natural and water-saturated states and voids, to explore the time-frequency characteristics, frequency band energy variations, and statistical patterns of typical single-trace signals. The results show that the granite detection signal contains more low-frequency components, the sandstone detection signal contains more medium-low frequency components, while the limestone detection signal contains more medium-high frequency components in their natural state; the signal from the karst cave has relatively more low-frequency components than the signal from the empty cavity. The geometric shape of the rock has no influence on the dominant frequency and time-frequency distribution of its reflection signal. Generally, rocks with higher rebound values (hardness) also exhibit larger variance and standard deviation in frequency band energy. The research has important theoretical significance and practical value for the measurement and assessment of special geological features such as hard rocks and voids in urban underground trenchless construction.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"36 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characteristics of tin droplet target system for EUV source research 用于超紫外辐射源研究的锡滴靶系统的特性

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1810

Qin Sun, Xinbing Wang, D. Zuo

引用次数: 0

Automated Defect Detection in Precision Forging Ultrasonic Images Based on Deep Learning 基于深度学习的精密锻造超声波图像缺陷自动检测

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad180c

Jianjun Zhao, Yuxin Zhang, Xiaozhong Du, Xiaoming Sun

{"title":"Automated Defect Detection in Precision Forging Ultrasonic Images Based on Deep Learning","authors":"Jianjun Zhao, Yuxin Zhang, Xiaozhong Du, Xiaoming Sun","doi":"10.1088/1361-6501/ad180c","DOIUrl":"https://doi.org/10.1088/1361-6501/ad180c","url":null,"abstract":"\u0000 Ultrasonic testing is a widely used non-destructive testing technique for precision forgings. However, assessing defects in ultrasonic B-scan images can be prone to errors, misses, and inefficiencies due to human judgment. To address these challenges, we propose a method based on deep learning to automate the evaluation of such images.We started by creating a dataset comprising 8,000 images, each measuring 224x224 pixels. These images were cropped from ultrasonic B-scan images of 7 specimens, each featuring different sizes and locations of holes and crack defects. We then used state-of-the-art deep learning models to benchmark the dataset and identified YOLOv5s as the best-performing baseline model for our study. To address the challenges of deploying deep learning models and the issue of small defects being easily confused with the background in ultrasonic B-scan images, we made lightweight improvements to the deep learning model. Additionally, we enhanced the quality of data labels through data cleaning. Our experiments show that our method achieved a precision of 97.8%, a recall of 98.1%, mAP@0.5 of 99.0%, and mAP@.5:.95 of 67.6%, with a frames per second (FPS) of 74.5. Furthermore, the number of model parameters was reduced by 43.2%, while maintaining high detection accuracy.Overall, our proposed method offers a significant improvement over the original model, making it a more reliable and efficient tool for automated defect assessment in ultrasonic B-scan images.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"32 8","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic non-contact grinding surface roughness measurement based on multi-focused sequence images and CNN 基于多聚焦序列图像和 CNN 的非接触式磨削表面粗糙度自动测量技术

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1804

yupeng shi, Li Bing, Li Lei, Tongkun Liu, Du Xiao, Xiang Wei

引用次数: 0

A Novel 6-dimensional Force Measurement Based on the Electric 6-DOF Loading Device 基于电动 6-DOF 加载装置的新型 6 维测力装置

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1812

Yong Sang, Lianjie Liao, Tao Chen, Jiakuo Liu

{"title":"A Novel 6-dimensional Force Measurement Based on the Electric 6-DOF Loading Device","authors":"Yong Sang, Lianjie Liao, Tao Chen, Jiakuo Liu","doi":"10.1088/1361-6501/ad1812","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1812","url":null,"abstract":"\u0000 The 6-degrees-of-freedom (6-DOF) platform has gained popularity in industry owing to its advantages, especially in indoor simulation experiment requiring 6-dimensional force environments. However, up to date, the measurement of such 6-dimensional forces is challenging due to complex structures, difficult decoupling, and high costs. In this study, an electric 6-DOF loading device designed by ourselves is presented, with an ability to load high precision displacement and force. To measure the 6-dimensional force of the device’s moving platform, this paper proposes a scheme involving embedding tension-compression sensors in each leg of the device and describes the mechanical model of the device. Then a novel method with a variable transformation matrix is proposed, complemented by a decoupling study that optimizes the variable transformation matrix. Finally, we validate the proposed method through an external force loading experiment. The results indicate that the error in Fy experiment is less than 2.7%, and the error in Fz experiment is less than 1.6%. The novel method exhibits high accuracy, easy installation, fast response, and low cost.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138951210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimised LightGBM-based health condition evaluation method for the functional components in CNC machine tools under strong noise background 强噪声背景下基于 LightGBM 的数控机床功能部件健康状况优化评估方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2023-12-21 DOI: 10.1088/1361-6501/ad1807

Jia Li, Jialong He, wanghao shen, Ma Cheng, Wang Jili, He Yuzhi

{"title":"Optimised LightGBM-based health condition evaluation method for the functional components in CNC machine tools under strong noise background","authors":"Jia Li, Jialong He, wanghao shen, Ma Cheng, Wang Jili, He Yuzhi","doi":"10.1088/1361-6501/ad1807","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1807","url":null,"abstract":"\u0000 The accurate health condition evaluation of the functional components in computer numerical control (CNC) machine tools is an important prerequisite for predictive maintenance and fault warning. The vibration signals of the functional components in CNC machine tools often contain substantial noise, impeding the extraction of relevant health condition information from the vibration signals. This work presents an approach that leverages the variational mode decomposition (VMD) enhanced by the Artificial Hummingbird Algorithm (AHA) alongside the Light Gradient Boosting Machine (LightGBM) optimised through particle swarm optimisation (PSO) to evaluate the health condition of the functional components in CNC machine tools amidst pervasive noise. Initially, the AHA optimised the penalty factor (α) and the decomposition layer (K) within the VMD. This optimised VMD was subsequently applied to denoise the original vibration signals. After this denoising process, PSO was employed to optimise the learning rate and maximum tree depth within LightGBM. Health condition evaluation experiments were executed on the feed system and spindle of the CNC machine tool to validate the proposed methodology. Comparative analysis indicates that the proposed method attains paramount accuracy and computational efficiency, which are crucial for accurately evaluating the health condition of the functional components in CNC machine tools.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"37 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138951609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0