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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Zhang, Yonghao Piao, Linhua Sun, Jiahao Beijing Key Laboratory of Sensors China Modern Measurement and Control Technology Ministry of Education China

ISBN: (纸本)9781837242672

In this paper, a structure of high robustness pressure sensor based on heat conduction is proposed and its mechanism is studied. The temperature field in the structure of a high robustness pressure transducer based on heat conduction is calculated by COMSOL, and the temperature difference under the corresponding pressure is calculated. The calculation results based on the three-dimensional physical model of the sensor show that the temperature difference of the highly robust pressure sensor based on heat conduction decreases with the increase of pressure, and the pressure of the sensor is inversely proportional to the temperature difference, The temperature sensitivity of the high robustness pressure sensor based on heat conduction in the range of 0 ~ 49N is -0.021 K/N and the nonlinearity is 11.02%. The temperature sensitivity of the high robustness pressure sensor based on heat conduction in the range of 50 ~ 60N is -1.184 K/N and the nonlinearity is 7.85%. Through the establishment of the three-dimensional physical model structure of the high-robustness pressure sensor based on heat conduction and the calculation results of the sensor, the mechanism of the high-robustness pressure sensor based on heat conduction is revealed, which lays a theoretical foundation for the subsequent optimization of the parameters and structure of this kind of sensor. © The Institution of Engineering & technology 2024.

关键词： Pressure transducers

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STUDY ON RESPONSE TIME OF Z-AXIS THERMAL EXPANSION FLOW GYROSCOPE 10

STUDY ON RESPONSE TIME OF Z-AXIS THERMAL EXPANSION FLOW GYRO...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Piao, Linhua Tong, Jiacheng Beijing Key Laboratory of Sensors China Modern Measurement and Control Technology Ministry of Education China

ISBN: (纸本)9781837242672

This paper presents a method to derive the gyro response time of thermal expansion flow in Z-axis micro-electro-mechanical systems (MEMS). First, the structure of the thermal expansion gyro is given and its working principle is explained in detail. Secondly, according to the sensitive mechanism of the thermal expansion gyro and its heat transfer mode, the theoretical model of the response time of the thermal expansion gyro is derived, and the calculation formula of the response time of the thermal expansion gyro is given. Finally, in order to verify the response time calculation formula derived in this paper, the finite element method is used. Based on the three-dimensional physical model of the thermal expansion gyro, the theoretical response time of the gyro is calculated and verified. The results of calculation and finite element verification show that: (1) the theoretical model and formula of response time of thermal expansion gyro are in agreement with the verification data;(2) With the increase of the thermal conductivity of the gas, the area of the thermal wire, and the decrease of the specific heat capacity and density of the gas, the response time gradually decreases. (3) The gyro response time calculated for Z-axis thermal expansion flow is 669.88 ms. The formula for calculating the response time of thermal expansion gyro presented in this paper lays a theoretical foundation for optimizing the response time of thermal expansion gyro. © The Institution of Engineering & technology 2024.

关键词： Density of gases

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RESEARCH ON GAIT RECOGNITION BY USING 1DCNN BASED ON LOWER LIMB KINEMATIC POSTURE DATA 10

RESEARCH ON GAIT RECOGNITION BY USING 1DCNN BASED ON LOWER L...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Li, Mu Ma, Chao Wang, Shaohong Key Laboratory of Modern Measurement and Control Technology Ministry of Edu. Beijing Information Science and Technology University Beijing China Beijing Key Laboratory of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

Gait recognition refers to the process of realizing the detection of human identity or health status and other information according to the characteristics of human plantar pressure, video images or human dynamics indicators. With the advantages of non-contact, non-aggression, no need for cooperation and easy to collect, gait recognition technology has been widely used in recent years in the field of public security criminal investigation, medical care, intelligent transportation and other fields. In this study, to meet the needs of gait recognition, IMU sensors are used to acquire human lower limb motion posture data and wavelet transform is used to decompose several components. Then the components were determined and the optimized 1DCNN model is used to carry out gait recognition research. The results showed that the optimized 1DCNN model for gait recognition task exhibits excellent performance with up to 95% accuracy, 96% recall and Fl value, as well as good computational efficiency, which is valuable for clinical automatic gait recognition analysis, rehabilitation engineering and criminal investigation work. Although there are some errors in some gait classifications, our study provides directions for further optimization of the algorithm to improve the accuracy and robustness of gait recognition. © The Institution of Engineering & technology 2024.

关键词： Crime

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Segmented Real-time Dispatch Model and Stochastic Robust Optimization for Power-gas Integrated Systems with Wind Power Uncertainty

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Journal of Modern Power Systems and Clean Energy 2023年第5期11卷 1480-1493页

作者： Ying Wang Kaiping Qu Kaifeng Zhang Key Laboratory of Measurement and Control of CSE Ministry of EducationSchool of AutomationSoutheast UniversityNanjingChina School of Electrical Engineering China University of Mining and TechnologyXuzhouChina

This paper develops a segmented real-time dispatch model for power-gas integrated systems(PGISs), where power-to-gas(P2G) devices and traditional automatic generation control units are cooperated to manage wind power uncertainty. To improve the economics of the real-time dispatch in regard to the current high operation cost of P2Gs, the wind power uncertainty set is divided into several segments, and a segmented linear decision rule is developed, which assigns adjustment tasks differently when wind power uncertainty falls into different segments. Thus, the P2G operation with high costs can be reduced in real-time adjustment. Besides, a novel segmented stochastic robust optimization is proposed to improve the efficiency and robustness of PGIS dispatch under wind power uncertainty, which minimizes the expected cost under the empirical wind power distribution and builds up the security constraints based on the robust optimization. The expected cost is formulated using a Nataf conversion-based multi-point estimate method, and the optimal number of estimate points is determined through sensitivity analysis. Furthermore, a difference-ofconvex optimization with a partial relaxation rule is developed to solve the non-convex dispatch problem in a sequential optimization framework. Numerical simulations in two testing cases validate the effectiveness of the proposed model and solving method.

关键词： Power-gas integrated system robust optimization real-time dispatch multi-point estimate method differenceof-convex optimization

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STUDY ON COUPLING FAULT DIAGNOSIS OF THE PLANETARY TRANSMISSION GEARBOX BY USING WAVELET TRANSFORM AND 1DCNN 10

STUDY ON COUPLING FAULT DIAGNOSIS OF THE PLANETARY TRANSMISS...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Qiu, Baolin Ma, Chao Wang, Shaohong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

Considering the susceptibility of planetary transmission to strong noise interference, a fault diagnosis method is proposed based on Morlet wavelet transform and 1D Convolutional Neural Network (1DCNN). Firstly, the acceleration captured from the transmission is dealt with angle resampling to reduce the dependence of speed on signal characteristics, and band-pass filtering is performed, which parameter is determined by using the fast spectral kurtosis algorithm. Subsequently, the filtered data is decomposed into several multiple intrinsic mode function (IMF) components with the EEMD algorithm and reconstructed according to the correlation coefficient parameter. Then reconstructed data is subjected to further noise reduction processing using wavelet transform and the amplitude in the scale parameter with the highest kurtosis as the input to 1DCNN for training and fault diagnosis classification. The experimental results show that the proposed method can effectively reduce noise interference, the fault diagnosis accuracy of the processed data is relatively high. The fault diagnosis accuracy of the processed data is significantly higher than that of the raw data. © The Institution of Engineering & technology 2024.

关键词： Noise abatement

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5G Ultra-Dense Network Fingerprint Positioning Method Based on Matrix Completion

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China Communications 2023年第3期20卷 105-118页

作者： Yuexia Zhang Chong Liu Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

The problem of high-precision indoor positioning in the 5G era has attracted more and more attention.A fingerprint location method based on matrix completion(MC-FPL)is proposed for 5G ultradense networks to overcome the high costs of traditional fingerprint database construction and matching ***,a partial fingerprint database constructed and the accelerated proximal gradient algorithm is used to fill the partial fingerprint database to construct a full fingerprint ***,a fingerprint database division method based on the strongest received signal strength indicator is proposed,which divides the original fingerprint database into several sub-fingerprint ***,a classification weighted K-nearest neighbor fingerprint matching algorithm is *** estimated coordinates of the point to be located can be obtained by fingerprint matching in a sub-fingerprint *** simulation results show that the MC-FPL algorithm can reduce the complexity of database construction and fingerprint matching and has higher positioning accuracy compared with the traditional fingerprint algorithm.

关键词： indoor positioning fingerprint matching matrix completion 5G UDN RSSI

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Joint Task Offloading and Resource Allocation Strategy for Space-Air-Ground Integrated Vehicular Networks

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清华大学学报自然科学版（英文版） 2025年第3期30卷 1027-1043页

作者： Yuanshuo Gang Yuexia Zhang Zhihai Zhuo School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

Space-Air-Ground integrated Vehicular Network(SAGVN)aims to achieve ubiquitous connectivity and provide abundant computational resources to enhance the performance and efficiency of the vehicular ***,there are still challenges to overcome,including the scheduling of multilayered computational resources and the scarcity of spectrum *** address these problems,we propose a joint Task Offloading(TO)and Resource Allocation(RA)strategy in SAGVN(namely JTRSS).This strategy establishes an SAGVN model that incorporates air and space networks to expand the options for vehicular TO,and enhances the edge-computing resources of the system by deploying edge *** minimize the system average cost,we use the JTRSS algorithm to decompose the original problem into a number of subproblems.A maximum rate matching algorithm is used to address the channel allocation and the Lagrangian multiplier method is employed for computational *** acquire the optimal TO decision,a differential fusion cuckoo search algorithm is *** simulation results demonstrate the significant superiority of the JTRSS algorithm in optimizing the system average cost.

关键词： edge computing Resource Allocation(RA) Space-Air-Ground integrated Vehicular Network(SAGVN) Task Offloading(TO)

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A Study for Inter-Satellite Cooperative Computation Offloading in LEO Satellite Networks

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China Communications 2025年第2期22卷 12-25页

作者： Gang Yuanshuo Zhang Yuexia Wu Peng Zheng Hui Fan Guangteng Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 102206China 2 National Innovation Institute of Defense Technology Academy of Military ScienceBeijing 100071China

Low Earth orbit(LEO)satellite networks have the advantages of low transmission delay and low deployment cost,playing an important role in providing reliable services to ground *** paper studies an efficient inter-satellite cooperative computation offloading(ICCO)algorithm for LEO satellite ***,an ICCO system model is constructed,which considers using neighboring satellites in the LEO satellite networks to collaboratively process tasks generated by ground user terminals,effectively improving resource utilization ***,the optimization objective of minimizing the system task computation offloading delay and energy consumption is established,which is decoupled into two *** terms of computational resource allocation,the convexity of the problem is proved through theoretical derivation,and the Lagrange multiplier method is used to obtain the optimal solution of computational *** deal with the task offloading decision,a dynamic sticky binary particle swarm optimization algorithm is designed to obtain the offloading decision by *** results show that the ICCO algorithm can effectively reduce the delay and energy consumption.

关键词： computation offloading inter-satellite co-operation LEO satellite networks

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OPTIMIZATION OF EYE-IN-HAND CALIBRATION METHODS 10

OPTIMIZATION OF EYE-IN-HAND CALIBRATION METHODS

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Ge, Xiaoliang Zuo, Yunbo Gu, Yuhai Miao, Zhuoran Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

Hand-eye calibration is a vital part in the field of robot vision and motion control, which ensures that the robot system can accurately perceive and operate the surrounding environment. To enhance the accuracy of the hand-eye calibration matrix obtained in the current experimental environment, this paper provides an optimal scheme for the selection of calibration points and hand-eye calibration algorithms on the checkerboard calibration board. The geometric errors, rotation-translation errors and other parameters of Tsai algorithm and Navy algorithm were calculated based on multiple sets of experimental data, and the performance differences between the two algorithms were evaluated. The experimental results show that in the calibration environment of this experiment, the optimal selection number of marker points is about 12, and the optimal calibration algorithm is Tsai algorithm. This study provides a reference for the optimization of robotic hand-eye calibration technology. © The Institution of Engineering & technology 2024.

关键词： Errors

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RESEARCH ON THREE-DIMENSIONAL FUSION METHOD OF SURVEILLANCE VIDEO IN SMART PARK 10

RESEARCH ON THREE-DIMENSIONAL FUSION METHOD OF SURVEILLANCE ...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Li, Haowei Zuo, Yunbo Hu, Huan Chen, Sai Zheng, Yifan Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781837242672

The three-dimensional video fusion technology is increasingly becoming an important part of smart parks. In previous security work, surveillance videos are typically displayed in a multi-screen layout, making it difficult to directly analyze the spatial positions of scenes and objects in the monitoring footage. Based on this, a real-time fusion rendering method for RTSP video streams and three-dimensional park models is proposed, which uses texture projection to integrate real videos into virtual three-dimensional models, achieving the fusion of multiple video sources. For scenarios with multiple videos at the same location, a viewpoint-based weighted method is adopted to achieve texture overlay rendering. Finally, a smart park surveillance video fusion platform is built based on the *** framework, supporting real-time rendering on the web. The system also provides various interaction methods, including roaming and viewpoint switching, making it convenient for personnel to monitor key areas. Simultaneously, it achieves the effect of roaming in virtual three-dimensional scenes, enhancing the stereoscopic presentation of real scenes in surveillance videos. The system demonstration proves that effectively combining real-time surveillance videos with three-dimensional models results in better spatial presentation of videos and enhances the ability to discern the actual positions of scenes within the smart park. © The Institution of Engineering & technology 2024.

关键词： Rendering (computer graphics)

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