Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116321
Haiwei Zhang , Sibo Zhang , Zhengyu Liu , Qi Lu , Zhihong Chen , Lifang Xue , Jia Shi , Wei Shi , Jianquan Yao
A no-core and few-mode fiber-based structure coating with polyacrylic acid acrylamide hydrogel is used to realize pH and temperature measurement simultaneously. The proposed structure can be obtained through splicing the no-core fiber, few-mode fiber and no-core fiber (NFN) with a certain length in sequence. Its measurement range can cover 2 to 12 for pH and 20 °C to 90 °C for temperature. Meanwhile, surface silanization of the optical fiber is performed to facilitate the adhesion of the hydrogel and to refine the silanization process. The pH-based transmission-sensitivity is measured to be 0.959 dB/pH and the highest pH-based wavelength-sensitivity is 0.837 nm/pH. The temperature-based wavelength-sensitivities are measured to be 0.01 nm/°C and 0.02 nm/°C, respectively, in two different pH environments of 2 ∼ 5 and 5 ∼ 12, while the temperature-based transmission-sensitivities are measured to be 0.432 dB/°C and 0.356 dB/°C, respectively. The pH response of hydrogel and inherent temperature response of NFN-based Mach-Zehnder interferometer enable the sensor to perform dual parameter measurements for pH and temperature. The dual-parameter matrices are established and validation experiments are carried out. It is demonstrated that the pH and temperature measurement errors can be as low as 0.088 and 1.112°C respectively. This sensor is expected to have broad prospects in environmental monitoring, chemical analysis, and other related fields.
{"title":"Dual parametric simultaneous measurement of pH and temperature based on optical fiber interference and silanized pH-responsive hydrogel","authors":"Haiwei Zhang , Sibo Zhang , Zhengyu Liu , Qi Lu , Zhihong Chen , Lifang Xue , Jia Shi , Wei Shi , Jianquan Yao","doi":"10.1016/j.measurement.2024.116321","DOIUrl":"10.1016/j.measurement.2024.116321","url":null,"abstract":"<div><div>A no-core and few-mode fiber-based structure coating with polyacrylic acid acrylamide hydrogel is used to realize pH and temperature measurement simultaneously. The proposed structure can be obtained through splicing the no-core fiber, few-mode fiber and no-core fiber (NFN) with a certain length in sequence. Its measurement range can cover 2 to 12 for pH and 20 °C to 90 °C for temperature. Meanwhile, surface silanization of the optical fiber is performed to facilitate the adhesion of the hydrogel and to refine the silanization process. The pH-based transmission-sensitivity is measured to be 0.959 dB/pH and the highest pH-based wavelength-sensitivity is 0.837 nm/pH. The temperature-based wavelength-sensitivities are measured to be 0.01 nm/°C and 0.02 nm/°C, respectively, in two different pH environments of 2 ∼ 5 and 5 ∼ 12, while the temperature-based transmission-sensitivities are measured to be 0.432 dB/°C and 0.356 dB/°C, respectively. The pH response of hydrogel and inherent temperature response of NFN-based Mach-Zehnder interferometer enable the sensor to perform dual parameter measurements for pH and temperature. The dual-parameter matrices are established and validation experiments are carried out. It is demonstrated that the pH and temperature measurement errors can be as low as 0.088 and 1.112°C respectively. This sensor is expected to have broad prospects in environmental monitoring, chemical analysis, and other related fields.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"243 ","pages":"Article 116321"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116269
Zhijie Guo , Huiqin Wang , Ke Wang , Fengchen Chen , Fushuang Zhou
Ramming settlement is a key indicator to measure the quality of dynamic compaction reinforcement. Relying on manual measurement is not only costly and inefficient, but also cannot guarantee the safety of personnel. This paper proposes a monocular vision non-contact ramming settlement measurement method, aiming to improve construction efficiency, and this method can be carried out simultaneously with construction. Through the modeling of the vision camera, combined with deep learning and Fourier transform method, the rammer feature point information is extracted, and the calculation model of ramming settlement is constructed. Through the error fitting analysis, the influencing factors of ramming settlement detection are comprehensively studied. Experiments show that under real compaction conditions, the accuracy reaches 30 mm, and the accuracy that meets construction requirements reaches 91.28%. It has the characteristics of low cost, high precision and strong stability, and can be effectively applied to the automatic calculation of ramming settlement.
{"title":"Measurement method of a monocular visual ramming settlement based on the characteristics of the rammer handle","authors":"Zhijie Guo , Huiqin Wang , Ke Wang , Fengchen Chen , Fushuang Zhou","doi":"10.1016/j.measurement.2024.116269","DOIUrl":"10.1016/j.measurement.2024.116269","url":null,"abstract":"<div><div>Ramming settlement is a key indicator to measure the quality of dynamic compaction reinforcement. Relying on manual measurement is not only costly and inefficient, but also cannot guarantee the safety of personnel. This paper proposes a monocular vision non-contact ramming settlement measurement method, aiming to improve construction efficiency, and this method can be carried out simultaneously with construction. Through the modeling of the vision camera, combined with deep learning and Fourier transform method, the rammer feature point information is extracted, and the calculation model of ramming settlement is constructed. Through the error fitting analysis, the influencing factors of ramming settlement detection are comprehensively studied. Experiments show that under real compaction conditions, the accuracy reaches 30 mm, and the accuracy that meets construction requirements reaches 91.28%. It has the characteristics of low cost, high precision and strong stability, and can be effectively applied to the automatic calculation of ramming settlement.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116269"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116293
Bo Shi , Zhenjian Yao , Feng Li , Xiaosong Chen , Lei Yao , Yifan Ding
The identification of the frequency characteristics of the pressure measurement system with a pressure transmission tube is inevitably affected by the structure size, the transfer model, and complex noise interferences, which limits the achievable accuracy of the dynamic pressure measurements in some special conditions, such as narrow installation space and high temperature environments. This paper proposes a data-driven calibration method for identifying the frequency characteristics of pressure measurement system with a pressure transmission tube by shock tube system. The distorted calibration signal is first corrected to reduce the effect of complex noise by combining the robust local mean decomposition and a main frequency dispersion component cluster scheme. A modified Levenberg-Marquardt algorithm is presented to establish the transfer model of the pressure measurement system based on the corrected calibration signal and the dynamic pressure generated by shock tube. The frequency characteristics of the pressure measurement system is then identified, and the dispersion of the calibration results is quantitatively evaluated through a kernel density estimation assisted Monte Carlo method. A series of calibration experiments for pressure measurement system with pressure transmission tubes are carried out by a shock tube system. Results show that the proposed method is able to reduce the influence of high-frequency noise and improve the calibration results of the multiple frequency characteristics of the pressure measurement system with a pressure transmission tube. Furthermore, the comparative experiments on the dispersion evaluation of calibration results also demonstrate the superiority of the proposed method over the Fourier transformation method in calibration reliability.
{"title":"Identifying the frequency characteristics of the pressure measurement system with a pressure transmission tube using shock tube method","authors":"Bo Shi , Zhenjian Yao , Feng Li , Xiaosong Chen , Lei Yao , Yifan Ding","doi":"10.1016/j.measurement.2024.116293","DOIUrl":"10.1016/j.measurement.2024.116293","url":null,"abstract":"<div><div>The identification of the frequency characteristics of the pressure measurement system with a pressure transmission tube is inevitably affected by the structure size, the transfer model, and complex noise interferences, which limits the achievable accuracy of the dynamic pressure measurements in some special conditions, such as narrow installation space and high temperature environments. This paper proposes a data-driven calibration method for identifying the frequency characteristics of pressure measurement system with a pressure transmission tube by shock tube system. The distorted calibration signal is first corrected to reduce the effect of complex noise by combining the robust local mean decomposition and a main frequency dispersion component cluster scheme. A modified Levenberg-Marquardt algorithm is presented to establish the transfer model of the pressure measurement system based on the corrected calibration signal and the dynamic pressure generated by shock tube. The frequency characteristics of the pressure measurement system is then identified, and the dispersion of the calibration results is quantitatively evaluated through a kernel density estimation assisted Monte Carlo method. A series of calibration experiments for pressure measurement system with pressure transmission tubes are carried out by a shock tube system. Results show that the proposed method is able to reduce the influence of high-frequency noise and improve the calibration results of the multiple frequency characteristics of the pressure measurement system with a pressure transmission tube. Furthermore, the comparative experiments on the dispersion evaluation of calibration results also demonstrate the superiority of the proposed method over the Fourier transformation method in calibration reliability.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116293"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116313
Panping Xu , Liqiang Zhang , Meihua Zhang , Yongqiao Jin , Nan Wu , Tong Yang , Jing Shi
With the rapid development of the aerospace industry, achieving high-precision and high-efficiency assembly and docking of spacecraft segments (such as missiles, airplanes, and rockets) has become an urgent challenge to overcome. Given the assembly demand of the segment pose-adjustment and docking, a pose-adjustment measurement network of the cabin segment was constructed under a large field of view in this study. Then a cooperative docking strategy was proposed for docking and assembly of large segment-type components by taking the major difficulties in large component pose-adjustment and docking technology as an entry point. Considering the limitations of the traditional least squares-based pose conversion method, a combined measurement pose conversion method was proposed based on the weighted overall least squares (WOLS) method, and the error threshold iteration is used to improve the conversion accuracy, so that the overall pose conversion accuracy of the feature points is about 0.028 mm. Additionally, regarding the pose adjustment of cabin segments, this study refines the inverse solution pose model and proposes a pose inverse solution method for the parallel robot using the quaternion approach, which results in an accuracy of about 0.036 mm in the pose movement. Meanwhile, considering the influence of complex factors on docking accuracy, we propose a comprehensive assessment model of attitude adjustment accuracy based on the extreme value method, and calculate that the docking accuracy of cabin segment pose adjustment under this strategy is about 0.0814 mm. Finally, this study presents accuracy simulations and on-site docking experiments. The experimental results indicate that the cooperative docking strategy improves the accuracy of feature point pose conversion by 7.14 % and the stability of the pose inverse solution of the pose-adjustment mechanism by 4.2 %. This meets the accuracy requirements, enhances docking efficiency, and demonstrates feasibility in engineering practice.
{"title":"A collaborative docking strategy for medium-to-large segments based on the combined field-of-view measurement system","authors":"Panping Xu , Liqiang Zhang , Meihua Zhang , Yongqiao Jin , Nan Wu , Tong Yang , Jing Shi","doi":"10.1016/j.measurement.2024.116313","DOIUrl":"10.1016/j.measurement.2024.116313","url":null,"abstract":"<div><div>With the rapid development of the aerospace industry, achieving high-precision and high-efficiency assembly and docking of spacecraft segments (such as missiles, airplanes, and rockets) has become an urgent challenge to overcome. Given the assembly demand of the segment pose-adjustment and docking, a pose-adjustment measurement network of the cabin segment was constructed under a large field of view in this study. Then a cooperative docking strategy was proposed for docking and assembly of large segment-type components by taking the major difficulties in large component pose-adjustment and docking technology as an entry point. Considering the limitations of the traditional least squares-based pose conversion method, a combined measurement pose conversion method was proposed based on the weighted overall least squares (WOLS) method, and the error threshold iteration is used to improve the conversion accuracy, so that the overall pose conversion accuracy of the feature points is about 0.028 mm. Additionally, regarding the pose adjustment of cabin segments, this study refines the inverse solution pose model and proposes a pose inverse solution method for the parallel robot using the quaternion approach, which results in an accuracy of about 0.036 mm in the pose movement. Meanwhile, considering the influence of complex factors on docking accuracy, we propose a comprehensive assessment model of attitude adjustment accuracy based on the extreme value method, and calculate that the docking accuracy of cabin segment pose adjustment under this strategy is about 0.0814 mm. Finally, this study presents accuracy simulations and on-site docking experiments. The experimental results indicate that the cooperative docking strategy improves the accuracy of feature point pose conversion by 7.14 % and the stability of the pose inverse solution of the pose-adjustment mechanism by 4.2 %. This meets the accuracy requirements, enhances docking efficiency, and demonstrates feasibility in engineering practice.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116313"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116310
Alexander Wiendl , Guanxi Yan , Alexander Scheuermann , Jochen Fillibeck , Roberto Cudmani
In slurry shield tunnelling, the penetration of the supporting bentonite suspension must be reduced to a critical value to ensure safety and cost-efficiency during construction. Aiming to measure bentonite suspension penetration, this study adopted the spatial time domain reflectometry (spatial TDR) technique. Although traditional TDR can detect point-wise changes in bentonite suspension concentration of pore fluid, this technique has rarely been extended to spatial profile detection. Spatioscale tests with a flat ribbon cable TDR sensor demonstrated the potential of TDR waveform analysis for determining penetration depth. Relationships between penetration depth and waveform characteristics were established. The travel time specified by the dual tangents method decreased with increasing slurry penetration, and the determined travel time agrees well with that calculated by a newly proposed mixture equation. This novel approach enables the determination of penetration depth without visual observation, providing a powerful measuring solution for laboratory studies and slurry shield tunnelling.
{"title":"An experimental study on applying spatial TDR to determine bentonite suspension penetration","authors":"Alexander Wiendl , Guanxi Yan , Alexander Scheuermann , Jochen Fillibeck , Roberto Cudmani","doi":"10.1016/j.measurement.2024.116310","DOIUrl":"10.1016/j.measurement.2024.116310","url":null,"abstract":"<div><div>In slurry shield tunnelling, the penetration of the supporting bentonite suspension must be reduced to a critical value to ensure safety and cost-efficiency during construction. Aiming to measure bentonite suspension penetration, this study adopted the spatial time domain reflectometry (spatial TDR) technique. Although traditional TDR can detect point-wise changes in bentonite suspension concentration of pore fluid, this technique has rarely been extended to spatial profile detection. Spatioscale tests with a flat ribbon cable TDR sensor demonstrated the potential of TDR waveform analysis for determining penetration depth. Relationships between penetration depth and waveform characteristics were established. The travel time specified by the dual tangents method decreased with increasing slurry penetration, and the determined travel time agrees well with that calculated by a newly proposed mixture equation. This novel approach enables the determination of penetration depth without visual observation, providing a powerful measuring solution for laboratory studies and slurry shield tunnelling.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116310"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rotational speed and defect monitoring are of crucial relevance for all the rotating machinery. Traditional sensors require to be mounted on or near the rotating bodies, exposing them to significant thermal and mechanical stress. In this work, a method has been developed to measure the angular velocity and to detect the presence of potential bearing defects from the analysis of the magnetic field generated by the residual magnetization of moving parts. To test such an approach, a dedicated experimental setup using a bare induction coil and a magnetoresistive device as separate sensing elements has been developed. This contactless technique provides reliable results and can achieve performance similar to or better than that of accelerometers, which are commonly used for this purpose. The presence of defects has been further assessed using white light interferometry. Finally, the results are discussed and compared with alternative techniques.
{"title":"Characterization of rolling bearing rotation and local defects exploiting their magnetic remanence","authors":"Gianluca Caposciutti , Enrico Ciulli , Massimo Macucci , Mauro Bologna , Bernardo Tellini","doi":"10.1016/j.measurement.2024.116252","DOIUrl":"10.1016/j.measurement.2024.116252","url":null,"abstract":"<div><div>Rotational speed and defect monitoring are of crucial relevance for all the rotating machinery. Traditional sensors require to be mounted on or near the rotating bodies, exposing them to significant thermal and mechanical stress. In this work, a method has been developed to measure the angular velocity and to detect the presence of potential bearing defects from the analysis of the magnetic field generated by the residual magnetization of moving parts. To test such an approach, a dedicated experimental setup using a bare induction coil and a magnetoresistive device as separate sensing elements has been developed. This contactless technique provides reliable results and can achieve performance similar to or better than that of accelerometers, which are commonly used for this purpose. The presence of defects has been further assessed using white light interferometry. Finally, the results are discussed and compared with alternative techniques.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116252"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116316
Feifan Zheng , Hao Cai , Fei Wang , Yitao Cao , Honggang Wang , Xianbo Qiu , Yang Zhao , Xinchao Lu , Chengjun Huang , Duli Yu , Lulu Zhang
Surface plasmon resonance (SPR) technology plays a crucial role in kinetic analysis of molecular interactions due to the advantages of real-time, label-free, and high sensitivity. However, most SPR sensors detects the protein interactions with average value of multiple molecules. In this study, we developed a single molecule binding kinetics immunosensor based on surface plasmon resonance microscopy (SPRM). A BSA based biosensor was prepared for immobilizing single molecules and the interaction between human immunoglobulin G (IgG) and its antibodies was investigated showing good concentration response and selectivity. And the molecular height influence on imaging has been observed. Finally, the single, micro, and macroscopic molecule binding kinetics parameters (ka, kd and KD) were calculated and compared revealing higher affinity in single molecule region than the expanded region. It demonstrates the importance of single molecule kinetics, which can be applied to the study of protein heterogeneity analysis.
{"title":"Development of single molecule binding kinetics immunosensor based on surface plasmon resonance microscopy","authors":"Feifan Zheng , Hao Cai , Fei Wang , Yitao Cao , Honggang Wang , Xianbo Qiu , Yang Zhao , Xinchao Lu , Chengjun Huang , Duli Yu , Lulu Zhang","doi":"10.1016/j.measurement.2024.116316","DOIUrl":"10.1016/j.measurement.2024.116316","url":null,"abstract":"<div><div>Surface plasmon resonance (SPR) technology plays a crucial role in kinetic analysis of molecular interactions due to the advantages of real-time, label-free, and high sensitivity. However, most SPR sensors detects the protein interactions with average value of multiple molecules. In this study, we developed a single molecule binding kinetics immunosensor based on surface plasmon resonance microscopy (SPRM). A BSA based biosensor was prepared for immobilizing single molecules and the interaction between human immunoglobulin G (IgG) and its antibodies was investigated showing good concentration response and selectivity. And the molecular height influence on imaging has been observed. Finally, the single, micro, and macroscopic molecule binding kinetics parameters (ka, kd and KD) were calculated and compared revealing higher affinity in single molecule region than the expanded region. It demonstrates the importance of single molecule kinetics, which can be applied to the study of protein heterogeneity analysis.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116316"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116189
Ruihang Xie , Haina Zhang , Hongtao Li , Wenzheng Liu , Shaolong Sun , Tao Zhang
Understanding potential fluctuations in passenger volume is crucial for the operation and management of high-speed rail, especially during peak times. The uncertainty caused by multiple factors is the main obstacle to accurate prediction. To quantify and mitigate the impact of these uncertainties, Internet search indices are utilized as insightful resources to grasp dynamic trends in passenger flow. Leveraging minimum redundancy maximum relevance, we identify the top search index features based on their predictive contribution to high-speed rail passenger flow. A two-level decomposition strategy is then established based on variational modal decomposition to extract significant influencing factors hidden in the Internet index and capture the dynamic uncertainty of passenger flow. By integrating Crossformer with quantile regression, we construct the upper and lower bounds of the prediction interval. Furthermore, the obtained upper and lower bounds are corrected by the error of point prediction, which allows for dynamic adjustment of the prediction intervals width based on fluctuations in uncertainty, thereby refining the precision of the prediction interval. Finally, the developed approaches effectiveness is validated through two real-world experiments, and the experimental results indicate that this method can more accurately capture variations in high-speed rail passenger flow, improving both management and service quality.
{"title":"High-speed rail passenger flow prediction based on crossformer and quantile regression: A deep learning approach assisted by internet search indices","authors":"Ruihang Xie , Haina Zhang , Hongtao Li , Wenzheng Liu , Shaolong Sun , Tao Zhang","doi":"10.1016/j.measurement.2024.116189","DOIUrl":"10.1016/j.measurement.2024.116189","url":null,"abstract":"<div><div>Understanding potential fluctuations in passenger volume is crucial for the operation and management of high-speed rail, especially during peak times. The uncertainty caused by multiple factors is the main obstacle to accurate prediction. To quantify and mitigate the impact of these uncertainties, Internet search indices are utilized as insightful resources to grasp dynamic trends in passenger flow. Leveraging minimum redundancy maximum relevance, we identify the top search index features based on their predictive contribution to high-speed rail passenger flow. A two-level decomposition strategy is then established based on variational modal decomposition to extract significant influencing factors hidden in the Internet index and capture the dynamic uncertainty of passenger flow. By integrating Crossformer with quantile regression, we construct the upper and lower bounds of the prediction interval. Furthermore, the obtained upper and lower bounds are corrected by the error of point prediction, which allows for dynamic adjustment of the prediction intervals width based on fluctuations in uncertainty, thereby refining the precision of the prediction interval. Finally, the developed approaches effectiveness is validated through two real-world experiments, and the experimental results indicate that this method can more accurately capture variations in high-speed rail passenger flow, improving both management and service quality.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116189"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To address the limitations of Digital Image Correlation (DIC) technology in terms of single-view and resolution capabilities, multi-camera systems have emerged, expanding the measurement area by increasing the number of cameras. However, traditional multi-camera systems continue to face challenges in the calibration of global external parameters and error control, particularly when uniform calibration between camera subsystems is not achieved, making the calibration results difficult to evaluate and analyze. In response, this paper systematically investigates the sources of error in multi-camera system calibration and proposes a novel precision evaluation method. This method qualitatively analyzes the registration results of subsystems by examining the determinant of the rotation matrix used to transform local coordinate systems to the global coordinate system and quantitatively assesses the registration accuracy based on the alignment error of targets after registration. Furthermore, a series of experiments were conducted to validate the proposed evaluation method, with results demonstrating that the method not only offers high effectiveness in precision evaluation but also provides reliable technical support in complex engineering measurements.
{"title":"Calibration accuracy evaluation method for multi-camera measurement systems","authors":"Fang Yuan , Zhiyuan Xia , Baijian Tang , Zhuoyi Yin , Xinxing Shao , Xiaoyuan He","doi":"10.1016/j.measurement.2024.116311","DOIUrl":"10.1016/j.measurement.2024.116311","url":null,"abstract":"<div><div>To address the limitations of Digital Image Correlation (DIC) technology in terms of single-view and resolution capabilities, multi-camera systems have emerged, expanding the measurement area by increasing the number of cameras. However, traditional multi-camera systems continue to face challenges in the calibration of global external parameters and error control, particularly when uniform calibration between camera subsystems is not achieved, making the calibration results difficult to evaluate and analyze. In response, this paper systematically investigates the sources of error in multi-camera system calibration and proposes a novel precision evaluation method. This method qualitatively analyzes the registration results of subsystems by examining the determinant of the rotation matrix used to transform local coordinate systems to the global coordinate system and quantitatively assesses the registration accuracy based on the alignment error of targets after registration. Furthermore, a series of experiments were conducted to validate the proposed evaluation method, with results demonstrating that the method not only offers high effectiveness in precision evaluation but also provides reliable technical support in complex engineering measurements.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116311"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1016/j.measurement.2024.116289
Rongjun Xing , Zhongchao Zhao , Chuan He , Pai Xu , Daiqiang Zhu , Yufu Li , Yujun Li , Zewen Yang
In order to improve the optimization criterion and optimization algorithm, this study introduced the objective function of monitoring performance combining the reconstruction error of strain based on Radial Basis Function and the sensor deployment cost, and proposed the improved multi-objective snow ablation optimizer (IMOSAO) with external archive and Tent mapping. Firstly, initial solutions with uniform distribution were generated by Tent mapping and decimal coding. Then, they were updated by the dual-population mechanism balancing exploration and exploitation. Secondly, the Pareto frontiers of sensor layouts in the external archive were obtained after stop updating. The effectiveness of the improved parts of IMOSAO were validated in ablation studies, numerical and physical experiments. The optimized layouts achieved promising results with the cost reduction of 39 %, average accuracy above 95.72 %, minimum accuracy 84.61 % and least R2 0.9961. Finally, the algorithm reduced operation time and offered superior convergence compared with others. These findings underscore its significant potential in optimizing sensor layout of tunnel monitoring and provide a new view for other measurement sensors.
{"title":"Optimizing FBG sensor layout of tunnel monitoring using improved multi-objective snow ablation optimizer based on radial basis function","authors":"Rongjun Xing , Zhongchao Zhao , Chuan He , Pai Xu , Daiqiang Zhu , Yufu Li , Yujun Li , Zewen Yang","doi":"10.1016/j.measurement.2024.116289","DOIUrl":"10.1016/j.measurement.2024.116289","url":null,"abstract":"<div><div>In order to improve the optimization criterion and optimization algorithm, this study introduced the objective function of monitoring performance combining the reconstruction error of strain based on Radial Basis Function and the sensor deployment cost, and proposed the improved multi-objective snow ablation optimizer (IMOSAO) with external archive and Tent mapping. Firstly, initial solutions with uniform distribution were generated by Tent mapping and decimal coding. Then, they were updated by the dual-population mechanism balancing exploration and exploitation. Secondly, the Pareto frontiers of sensor layouts in the external archive were obtained after stop updating. The effectiveness of the improved parts of IMOSAO were validated in ablation studies, numerical and physical experiments. The optimized layouts achieved promising results with the cost reduction of 39 %, average accuracy above 95.72 %, minimum accuracy 84.61 % and least R<sup>2</sup> 0.9961. Finally, the algorithm reduced operation time and offered superior convergence compared with others. These findings underscore its significant potential in optimizing sensor layout of tunnel monitoring and provide a new view for other measurement sensors.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116289"},"PeriodicalIF":5.2,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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