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9th International Conference on Mechanical and Electronics Engineering, ICMEE 2023

作者： Li, Haiyang Liang, Yanzheng Yao, Xinhong Zhan, Biliang Shanghai Institute Of Measurement And Testing Technology Division Of Thermo Engineering And Energy Sources Measured Technology Shanghai China Anhui Test Measurement And Control Ltd. Hefei China

ISBN: (纸本)9798350307146

In order to provide a flowing fuel source for the measurement performance test device of fuel dispenser patent test, a fuel supply system was designed and manufactured. After the determination of the technical requirements for the fuel supply system, the structure, electrical and software design and key equipment selection were introduced at length in this paper. There are 3 kinds of ISOPAR L, D80, and D110 organic solvent (working medium) stored in 3 fuel tanks with actual capacity of 2m3, and the system has the functions of storage, circulation, temperature control of the working medium and fault self-inspection. In the electrical design, the DELTA DVP40EX200R PLC was selected as the core controller for the onsite equipment for its appropriate electrical resources and multiple auxiliary analog signal acquisition modules. And the human-machine interaction interface was the touch panel. After the design and manufacturing of the fuel supply system, a fuel dispenser metering performance test was conducted with the cooperation of the system. The test showed that the fuel supply system was designed reasonably and operated well. Furthermore, the fuel supply system designed in this article can not only be used for fuel dispenser pattern test, but also provide a solution for the automatic oil delivery system in oil depots. © 2023 IEEE.

关键词： Software design

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Development of a Computer Automated Solution for Steady-State Structural Mechanics Problems

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Procedia Computer Science 2025年 262卷 387-394页

作者： Zhenyu Cai Sha Liu Jing Zhang Jianye Su Dalian Institute of Measurement and Control Technology Dalian Liaoning Province China

In engineering and scientific research, there is a growing demand for efficient solutions to steady-state structural mechanics problems. This study first reviews the design strategies and recent research advances in multistable mechanical metamaterials. Then, this study establishes the theoretical foundation for the solution, including finite element methods, topology optimization theory, the description of nonlinear mechanical behavior, and stability analysis. Subsequently, this paper develops a modular computer-aided design automation framework, including a user interface layer, core solver, data management module, etc. The experimental results show that the automation solution outperforms traditional methods in key performance indicators such as efficiency, resource utilization, and throughput, with a maximum efficiency of 99.2%, achieving an automated design process with high efficiency, high stability, and low error rate.

关键词： Computer-Aided Automated Solutions Steady State Mechanics of Structural Bodies Finite Element Analysis

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SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STATE NETWORKS 10

SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STAT...

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

作者： Li, Zhouyang Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

In recent years, with the increase in vehicle volume, the traffic system has been inconvenienced. Therefore, the timeliness and accuracy of traffic flow prediction are crucial to the overall efficiency of the traffic system. Echo state network (ESN) has attracted extensive attention in the field of time series and traffic flow prediction due to its simple concept, low computational cost and simplicity. However, the traditional ESN model has certain limitations in terms of prediction accuracy and stability when facing complex and changeable traffic flow data. In order to solve this problem, this paper proposes an ESN prediction model combined with adaptive optimization. The simulated annealing algorithm is used to optimize the configuration of several important parameters of ESN, thereby improving the prediction performance and stability of the model. The experimental results show that the optimized ESN model is significantly better than the traditional ESN method in terms of prediction accuracy and stability. The monthly mean absolute percentage error (MAPE) is reduced from 10.05% to 6.6%, and the average error of each detector is reduced from 9.5% to 6.61%. This study proposes a more efficient and reliable method for short-term traffic flow prediction, which shows potential value in practical applications. © The Institution of Engineering & technology 2024.

关键词： Simulated annealing

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Viewpoint Rotation Prediction based Resource-Efficient Holographic Type Communication in EON enabled 6G RAN 22

Viewpoint Rotation Prediction based Resource-Efficient Holog...

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22nd International Conference on Optical Communications and Networks, ICOCN 2024

作者： Wang, Xin Zhang, Chengyuan Wang, Yafei Li, Xuehua Key Laboratory of Information and Communication Systems Ministry of Information Industry Key Laboratory of Modern Measurement & Control Technology Beijing China

A LSTM based viewpoint rotation prediction enabled resource-efficient holographic type communication is investigated in EON enabled 6G RAN. The CensNet enhanced PPO is used for feature extraction based DU-CU deploymen... 详细信息

ISBN: (纸本)9798350367652

关键词： Holography

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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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SR-STM: Simulation–Reality Spatial–Temporal Model for Early Warning of Power Tilt in Nuclear Power Plants

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IEEE Internet of Things Journal 2025年第11期12卷 17854-17868页

作者： Lin, Weiqing Miao, Xiren Chen, Jing Duan, Pengbin Ye, Mingxin Xu, Yong Liu, Xinyu Jiang, Hao Fuzhou University College of Electrical Engineering and Automation Fuzhou350108 China China Nuclear Power Technology Research Institute Company Ltd. Research Department of Reactor Measurement and Control Shenzhen518000 China National Nuclear Power Operation Maintenance Technology Company Ltd. Department of Instrument & Control Equipment Hangzhou311200 China

Balanced in-core power levels in nuclear power plants (NPPs) are critical for safety, whereas power tilt disrupts this balance, reducing safety margins and posing risks. Early warning for power tilt offers an effective way of optimizing monitoring. Due to abnormal-sample scarcity and security concerns, common data-driven models train on the simulated data generated by simulators. However, achieving a satisfactory effect in practices is difficult because simulators imperfectly emulate reality. Thus, we propose a power tilt-oriented early warning method called simulation–reality spatial–temporal model (SR-STM). Motivated by the physical model in NPPs, a knowledge-guided hierarchical graph is designed to characterize spatial correlations among local power levels for SR-STM’s input. The SR-STM uses a lightweight spatial–temporal network (LST-Net) as a feature extractor, balancing precision, and efficiency. To bridge sim-real interdomain discrepancies, SR-STM utilizes node-alignment adversarial learning (NAAL) for fine weight tuning in subdomain, and eigenvalue-based scale alignment (ESA) for sim-real feature proximity. Forecasting local power levels using the SR-STM, dynamic metrics and alarm limits are calculated and compared to perform the early warning task. The online experimental prototype verifies that SR-STM surpasses various state-of-the-art methods in terms of early warning and sim-real cross-domain tasks. © 2014 IEEE.

关键词： Eigenvalues and eigenfunctions

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LFD-SLAM: Improved point line combination feature algorithm based on ORB-SLAM2 4

LFD-SLAM: Improved point line combination feature algorithm ...

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4th International Conference on Testing technology and Automation Engineering, TTAE 2024

作者： Mao, Jiaqi Yang, Guang Wuhan Institute of Marine Electric Propulsion Wuhan430064 China Dalian Institute of Measurement and Control Technology Dalian116000 China

ISBN: (数字)9781510686656

ISBN: (纸本)9781510686649

With the progression of computer and automation technologies, alongside advancements in the shipbuilding industry, the automation level in ship manufacturing has been steadily increasing. This paper addresses the issue of unclear textures and uneven lighting in the ship bottom environment, which prevent the ORB-SLAM2 algorithm from extracting an adequate number of feature points. To address this issue, this paper proposes a method that combines point and line features based on the LSD algorithm. When the number of feature points is insufficient, line features are extracted to replace point features, and feature matching computations are performed exclusively in the mapping thread. Finally, a simulated model of the real shipyard environment and the robot was created using Gazebo software, and comparative validation demonstrated that the improved algorithm proposed in this paper achieves higher accuracy than ORB-SLAM2. © 2024 SPIE.

关键词： Shipyards

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PCB vibration test program design 6

PCB vibration test program design

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6th International Conference on System Reliability and Safety Engineering, SRSE 2024

作者： Wang, Hao Zhang, Han Qi, Jia China Institute of Marine Technology and Economy Quality and Reliability Center Beijing China Harbin University of Science and Technology School of Measurement-Control Technology and Communications Engineering Harbin China

ISBN: (纸本)9798350356083

This paper presents a vibration testing program designed to evaluate the reliability of PCB boards in complex underwater environments. The study thoroughly examines the structural components of the PCB and the vibrations it encounters throughout its lifecycle. Based on the characteristics of vibrations at different stages, corresponding testing standards and methods were developed, providing a scientific basis for the reliability assessment of PCB boards. © 2024 IEEE.

关键词： Life cycle

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Microwave Photonics-Based Small Hydrostatic Pressure Sensing Assisted by Convolutional Neural Network

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IEEE Sensors Journal 2025年第11期25卷 20948-20955页

作者： Li, Songlin Xue, Ting Wu, Yan Li, Zhuping Wu, Bin Tianjin University Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin300072 China Tianjin University State Key Laboratory of Precision Measuring Technology and Instruments Tianjin300072 China

Hydrostatic pressure measurement is essential in many industries, such as oil and gas production, chemical processing, and environmental monitoring. Due to the minimal impact of small hydrostatic pressure on ordinary silica optical fibers, research on its measurement utilizing optical fiber sensing technology remains limited. In this paper, a novel microwave photonics technique, termed optical carrier-based microwave interferometry (OCMI), is utilized for small hydrostatic pressure sensing with the assistance of a convolutional neural network (CNN). The theory of OCMI-based phase demodulation is established, and numerical simulations are conducted to investigate the factors affecting the axial displacement of the fiber core. In practical experiments, the phase demodulation method is applied to small hydrostatic pressure measurements;however, the results are suboptimal. Therefore, the CNN is developed to assist in the implementation of accurate small hydrostatic pressure sensing. The small hydrostatic pressures predicted by the well-trained CNN model are in good agreement with the actual values, with an error of less than 0.25 kPa. In addition, the prediction results from multiple Fabry-Perot interferometers demonstrate the feasibility and effectiveness of utilizing CNN for OCMI-based small hydrostatic pressure sensing. The introduction of machine learning broadens the application scope of the OCMI technique, allowing it to be employed for distributed sensing of a wider range of physical, chemical, and biological quantities. © 2001-2012 IEEE.

关键词： Interferometry

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A Reliability Evaluation Method for Zero-Failure Products Based on Moment-Entropy Normalization 6

A Reliability Evaluation Method for Zero-Failure Products Ba...

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6th International Conference on System Reliability and Safety Engineering, SRSE 2024

作者： Kong, Xiangrui Sun, Yongquan Tang, Qing An, Zijian Qi, Jia Guo, Kangkang Harbin University of Science and Technology School of Measurement-Control Technology and Communications Engineering Harbin China China Lnstitute of Marine Technology and Economy Quality and Reliability Center Beijing China

ISBN: (纸本)9798350356083

This paper addresses the challenge of reliability evaluation for small-sample and zero-failure data by introducing a method that integrates Bayesian theory with curve fitting. Initially, we employ the moment-entropy normalization method to determine the hyperparameters of the Beta distribution. This approach incorporates data from similar products, effectively overcoming the limitations posed by small sample sizes. Next, we use a Bayesian method to merge data from similar products with the current product data. By treating the likelihood function as binomial with zero failures, we accurately estimate parameters and improve the precision of reliability assessments. This enables us to obtain point estimates of failure probabilities at different time points and determine the upper confidence limits of failure probabilities at a given confidence level. Furthermore, we introduce the Weibull distribution as a life distribution model and apply curve fitting to estimate the Weibull parameters and their lower confidence limits, further enhancing the robustness of our reliability estimates. Finally, the proposed Bayesian method demonstrates strong practical applicability in case studies, providing valuable insights for the design and testing of reliable products. © 2024 IEEE.

关键词： Weibull distribution

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