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2nd IEEE International Conference on Data Science and Computer Application, ICDSCA 2022

作者： Deng, Hui Sun, Yiqing The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan610059 China

ISBN: (数字)9781665472005

ISBN: (纸本)9781665472005

At present, the research institute has developed a three-layer low-temperature protection composite material. Low-temperature protective materials are mainly used for short-term low-temperature protection, effectively reducing the harm of the external environment to the human body. In this paper, considering that the heat release capacity of the phase change layer is different at different temperatures, according to the data of heat release capacity and temperature of protective materials, the change of heat release capacity Q and field temperature T is fitted by Fourier function, and the functional relationship of material heat release is obtained. Therefore, the model is divided into three stages and calculated separately. In the first stage, there is no self-heating or internal heat source in the three-layer materials, so according to the law of conservation of energy and Fourier law, the unsteady heat conduction formula is deduced and solved. In the second stage, the phase change layer begins to release heat, and the first stage model is added to each layer's heat conduction control equation with heat release capability. The third stage is similar to the first stage. With the help of the explicit difference method, the model is discretized, and the cooling model of materials is solved to effectively evaluate the protective ability of low-temperature protective composites. © 2022 IEEE.

关键词： Phase change materials

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Automated Production Line Control System based on Industrial Cloud Platform

Automated Production Line Control System based on Industrial...

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2022 International Conference on Intelligent Manufacturing and Industrial automation, CIMIA 2022

作者： Liu, JianQin Li, LinLin Qu, Tao He, HuiDong The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (纸本)9781510655966

With the rapid development of modern industry, enterprises have an increasing demand for data monitoring and automated control of multiple production outlets and production lines. This paper first analyses the structure of the production line, completes the control system model design, establishes the network framework of the system, designs the human-machine interaction interface, gives the SFC flow chart of the workstations and the communication scheme of the PLC between each station, and finally realises the real-time interaction of the monitoring data in the industrial cloud platform. The research contributes new ideas to related research in this field. © 2022 SPIE.

关键词： Control systems

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Application of X-ray fluorescence technology in lithology discrimination

Application of X-ray fluorescence technology in lithology di...

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2023 International Conference on Computer Application and Information Security, ICCAIS 2023

作者： Liu, Guili Zhai, Juan Zhang, Wei Lai, Wanchang Zhao, Ziqi Li, Wen Wang, Guangxi Yang, Qiang Chen, Ran College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China Chengdu Institute of Product Quality Inspection Co. Ltd. Sichuan Chengdu610100 China Chengdu Zhongfu Technology Co. Ltd. Sichuan Chengdu610100 China

ISBN: (纸本)9781510675032

X-ray fluorescence data are not only an important indicator in petroleum exploration, but they are also an advantage in lithology discrimination. From the perspective of the application of nuclear technology in drilling and exploration, in this paper, the X-ray fluorescence count rate of the core is used as the basic data for core logging, and the geology and multivariate statistical data are analyzed to analyze the lithology of the core. X-ray fluorescence analysis can provide the fluorescence count rates of 35 elements in a core sample. If there are n core samples, an n*35 matrix can be created. If 35 types of fluorescence count rates are used as the independent variables to directly identify the lithology, the dataset is very large, and some of the independent variables are not strongly correlated. Therefore, the discrimination effect is insufficient for achieving the purpose. Therefore, based on the diagenetic characteristics of sedimentary rocks and the main rock-forming elements and using multivariate statistical methods, in this paper, the count rates of five elements (i.e., Si, Fe, Al, K, and Ca) are selected as independent variables for the lithology discrimination. It is reasonably transformed to obtain the matrix coefficients before dimensionality reduction. The original five-dimensional dataset is reduced to two dimensions using matrix coefficients. Then, Fisher's discriminant method is applied to the dimensionally reduced data to discriminate and classify the lithology. Based on the discrimination results, the X-ray fluorescence count rate and mathematical statistics can be used to obtain a good effect in lithology discrimination. © 2024 SPIE.

关键词： Lithology

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A PSEUDO-RANDOM SIGNAL GENERATOR BASED ON 3D DISCRETE MEMRISTOR CHAOTIC MAP 10

A PSEUDO-RANDOM SIGNAL GENERATOR BASED ON 3D DISCRETE MEMRIS...

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

作者： Qian, Lei Shi, Wei Guo, Yuchuan Chen, Kai Xu, Bo Zhao, Jia College of Automation Engineering University of Electronic Science and Technology of China Chengdu China College of Big Health & Intelligent Engineering Chengdu Medical College of China Chengdu China

ISBN: (纸本)9781837242672

Pseudo-random number generators that can quickly generate noise-like noise have high value in engineering applications. However, the methods currently used in many signal generators do not produce noise with enough randomness to satisfy engineering applications. Based on the properties possessed by the memristor, a novel method is proposed in this paper. A 3D discrete memristor model is constructed by coupling the discrete memristor to a discrete system, and its complex dynamical behavior, which depends on the system parameters and initial values, is analyzed. The results show that the 3D-DM exhibits hyperchaotic behavior. An experimental platform was built using FPGA and DAC, and the phase-trajectory diagrams obtained using oscilloscope capture are highly similar to the simulation results, which proves the feasibility of realizing 3D-DM using digital hardware circuits. Finally, a pseudo-random number generator is designed with a hardware operation speed of 350 Mps. The proposed method outperforms the existing methods. © The Institution of engineering & technology 2024.

关键词： Random number generation

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STSR: An Efficient Model for Super-Resolution Reconstruction

STSR: An Efficient Model for Super-Resolution Reconstruction

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Consumer Electronics and Computer engineering (ICCECE), 2021 IEEE International Conference on

作者： Xinhui Liu College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

STSR is an efficient and lightweight super-resolution model built upon the Swin Transformer architecture. By utilizing the hierarchical window-based self-attention mechanism of the Swin Transformer, STSR effectively captures global contextual information while ensuring high computational efficiency. To further enhance its performance and reduce model complexity, we incorporate lightweight design elements and residual structures. These improvements not only facilitate better gradient flow but also significantly boost the recovery of high-frequency details. Experimental results on the DIV2K dataset show that STSR delivers exceptional performance, significantly reducing both parameter count and computational costs.

关键词： Computational modeling Superresolution Computer architecture Transformers Computational efficiency Complexity theory Image reconstruction Consumer electronics

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A Wristband Design for a Water Rescue System

A Wristband Design for a Water Rescue System

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2023 IEEE International Conference on Electrical, automation and Computer engineering, ICEACE 2023

作者： Qiu, Quan Wang, Ming Tuo, Haitao Wu, Shannan Bai, Xiao Wang, Fan Yang, Qingru Liu, Fengxian Lu, Huijie College of Mechanical and Electrical Engineering Chengdu University of Technology Chengdu China College of Mechatronic Engineering and Automation Shanghai University Shanghai China Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350309614

In recent years, at least 236,000 people die from drowning every year in the world, but the corresponding water rescue equipment is backward. In response to the above problems, this paper fully investigates the UCD (User-Centered Design) theory, applies the UCD theory to the product design framework of a water rescue system. And from theoretical assumptions to actual research and development, from the bracelet early warning to the rescue robot launching, it is committed to promoting the emergency product system design for water rescue. When the bracelet detects that the body temperature, heart rate and humidity are in an abnormal situation, the airbag of the 'Life Capsule' bracelet inflates to carry out preliminary self-rescue, while the bracelet sends relevant positioning information to the 'Black Box', which interacts with the bracelet and the 'Black Box' through the interaction with the 'Black Box'. The 'black box' interacts with the bracelet to obtain GPS data combined with inertial navigation algorithms to get the user's position estimate, and then sends the user's position to the early warning center, which receives the user's position and then sends out the surface rescue robot for rescue. This paper mainly focuses on the design of the bracelet of this system and its communication interaction with other parts. © 2023 IEEE.

关键词： black box devices bracelet design rescue robots UCD water rescue

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Design of Real-Time Vibration Environment Parameter Acquisition System 16

Design of Real-Time Vibration Environment Parameter Acquisit...

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16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Chen, Jiahe Di, Lingsong Chengdu University of Technology School of Nuclear Technology and Automation Engineering Sichuan Chengdu China Unit 94259 Shandong Yantai China

ISBN: (纸本)9798350327144

In order to monitor the vibration of environmental parameters during equipment transportation and storage, a real-time monitoring environmental vibration parameters acquisition system is designed. The system adopts the structural design of separation of sensor and main equipment, and supports the collection and storage of up to 8 three-axis vibration data at the same time, so as to realize the monitoring, recording, and analysis of environmental vibration status. Through the shaker test and the field test of large vessels, it is verified that the system can monitor the vibration component of the three axes in the environment in real-time, and the equipment can operate stably and reliably and has the advantages of high real-time performance and high sensitivity. © 2023 IEEE.

关键词： Structural design

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Current Status of Rn-220 Chamber Carrier Aerosol Modulation Research

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Journal of Geoscience and Environment Protection 2023年第4期11卷 30-36页

作者： Yanan Liu Yu Cheng College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

Radon is the most important source of natural radiation to human beings and the second major causative agent of lung cancer other than smoking. In recent years, the hazards of human exposure to thoron (Rn-220), another isotope of radon, and its progeny have gained consensus. To accurately evaluate the dose level and hazards of Rn-220 and its progeny, a standard Rn-220 chamber with strong regulation ability for Rn-220 and its progeny needs to be established for the scale or calibration of measurement instruments. This paper describes the hazards, sources, behavioral characteristics of Rn-220 and its progeny, and some representative Rn-220 chambers established in various countries.

关键词： Thoron Rn-220 Chamber Aerosol Modulation

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Research on reactor power prediction of nuclear power plant based on multivariate optimization GRU model

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International Journal of Advanced nuclear Reactor Design and technology 2024年第2期6卷 78-89页

作者： Tan, Canyi Wang, Bo Li, Jiangkuan Chen, Jie Liang, Biao Zheng, Shangcai Han, Rui Tian, Ruifeng Tan, Sichao College of Nuclear Science and Technology Harbin Engineering University Harbin150001 China Heilongjiang Provincial Key Laboratory of Nuclear Power System & Equipment Harbin Engineering University Harbin150001 China Nuclear Power Institute of China Chengdu610213 China

In the operation of nuclear power plants, the accurate prediction of power change trends is crucial for ensuring safety and stability. In this work, a ML-GRU-RS method, based on model-agnostic meta-learning (MAML), gate recurrent unit (GRU), and random search optimization, is proposed for the long-term prediction of key parameters of nuclear power plants. This method combines the fast adaptability of MAML, the time series data processing capability of GRU, and the optimization efficiency of random search to achieve high-precision predictions under varying power conditions. The results demonstrate that this method can effectively predict the future trends of key parameters in nuclear power plants. The ability of operators to anticipate these trends has been significantly enhanced, contributing to the overall safety of the nuclear power plants. © 2024 Xi'an Jiaotong university

关键词： Prediction models

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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 Limited Shenzhen518000 China China National Nuclear Power Operation Maintenance Technology Company Limited 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.0Early 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).0Motivated 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 inter-domain discrepancies, SR-STM utilizes node-alignment adversarial learning for fine weight tuning in subdomain, and eigenvalue-based scale alignment 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. © 2025 IEEE.

关键词： Eigenvalues and eigenfunctions

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