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Design of weak current measurement system and research on temperature impact

nuclear Science and Techniques 2024年第4期35卷 46-56页

作者： Chu-Xiang Zhao San-Gang Li Rong-Rong Su Li Yang Ming-Zhe Liu Qing-Yue Xue Shan Liao Zhi Zhou Qing-Shan Tan Xian-Guo Tuo Yi Cheng College of Nuclear Technology and Automation Engineering Chengdu University of Technology1#DongsanluErxianqiaoChengdu 610059China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu University of Technology1#DongsanluErxianqiaoChengdu 610059China University of Science and Technology of China Hefei 230026China School of Physics and Electronic Engineering Sichuan University of Science and EngineeringZigong 643000China

A dedicated weak current measurement system was designed to measure the weak currents generated by the neutron ionization *** system incorporates a second-order low-pass filter circuit and the Kalman filtering algorithm to effectively filter out noise and minimize interference in the measurement *** conducted under normal temperature conditions has demonstrated the system's high precision ***,it was observed that temperature variations can affect the measurement *** were collected across temperatures ranging from -20 to 70℃,and a temperature correction model was established through linear regression fitting to address this *** feasibility of the temperature correction model was confirmed at temperatures of -5 and 40℃,where relative errors remained below 0.1% after applying the temperature *** research indicates that the designed measurement system exhibits excellent temperature adaptability and high precision,making it particularly suitable for measuring weak currents.

关键词： Weak current measurement system Neutron ionization chamber Kalman filter algorithm Temperature correction model

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Hybrid Algorithm of Gradient Boosted Decision Tree and Multiple Linear Regression and Its Application on Decesion Prediction 3

Hybrid Algorithm of Gradient Boosted Decision Tree and Multi...

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3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2023

作者： Wen, Yingzi He, Xin Lv, Dawei Li, Fei College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China College of Management Science Chengdu University of Technology Chengdu China College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9798350333862

Gradient boosted decision tree is a supervised learning algorithm model constructed by improving tree structure, replacing residual with gradient and using the concept of entropy in informatics. GBDT produces classification bias due to the imbalance of the sample. Therefore, we propose a way to accelerate the output quality of a decision tree by combining linear regression and GBDT and preprocessing sample data through linear regression before training. In the experiment, the new algorithm is applied to the nonlinear classification decision. It is found that the regression coefficient of the apportion of independent directors is 0.034, the regression coefficient is 0.712, the regression coefficient for table size is 0.197, the regression coefficient for the size of the board of directors is -0.197, and the regression coefficient for the share of institutional investors is -0.018. The regression coefficient for the institutional investor share is -0.018. It is found that this algorithm effectively improves classification accuracy and has good practical value. © 2023 IEEE.

关键词： Multiple linear regression

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Application of pole-zero cancellation circuit in nuclear signal filtering and shaping algorithm

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nuclear Science and Techniques 2021年第8期32卷 85-94页

作者： Huai-Ping Wang Jian-Bin Zhou Xiao-Ping Ouyang Xian-Guo Tuo Xu Hong Yi Liu Jie Yu You-Xian Jin College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyNo.1 East 3 RoadErxian BridgeChenghua DistrictChengdu 610059China Northwestern Institute of Nuclear Technology Xi’an 710024China Engineering Research Center of Nuclear Technology Application(East China University of Technology) Ministry of EducationNanchang 330013China

In radiation measurement and digital nuclear spectrum systems,traditional nuclear signal processing circuits in nuclear electronics have been gradually replaced by digital algorithm modules with the application of highperformance programmable hardware logic devices(such as FPGA or DSP).Referring to the digital realization method of inverse RC integral circuit systems,the function of the pole-zero cancellation(PZC)circuit was analyzed,a new modified cascade equivalent model of PZC was established,and the time-domain digital PZC(DPZC)recursive algorithm was derived in detail in this *** parameters kIand k_(D)are included in the new algorithm,where kIshould match the exponential decay time constant of the input signal to realize the pole-zero compensation,while the decay time constant of the output signal can be changed with the adjustable parameter k_(D)(which is larger than the decay time constant of the input signal).Based on the new DPZC algorithm module,two trapezoidal(triangular)shaping filters were designed and *** amplitude–frequency characteristics of the output signal of the proposed trapezoidal shaping algorithm and the convolution trapezoidal shaping algorithm were compared,with fixed peaking *** results show that the trapezoidal shaping algorithm based on DPZC can better suppress high-frequency ***,based on the Na I(Tl)scintillator(u75 mm×75 mm)detector and^(137)Cs source,the effect of the k_(D)value on the energy resolution of the DPZC trapezoidal(triangular)shaping algorithm was *** experimental results show that,with an increase in k_(D),the energy resolution of the system improved and reached the maximum when k_(D)was greater than 10,and the optimal energy resolution of the system was 7.72%.

关键词： Pole-zero cancellation C–R inverse system Trapezoidal/triangular shaping Amplitude–frequency characteristics Energy resolution

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FPGA implementation of 500-MHz high-count-rate high-time-resolution real-time digital neutron-gamma discrimination for fast liquid detectors

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nuclear Science and Techniques 2024年第8期35卷 101-113页

作者： Hui‑Yin Shen Jing‑Long Zhang Jie Zhang Jian‑Hang Zhou College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China Southwestern Institute of Physics P.O.Box 432Chengdu 610041China

Fast neutron flux measurements with high count rates and high time resolution have important applications in equipment such as *** this study,real-time neutron and gamma discrimination was implemented on a self-developed 500-Msps,12-bit digitizer,and the neutron and gamma spectra were calculated directly on an FPGA.A fast neutron flux measurement system with BC-501A and EJ-309 liquid scintillator detectors was developed and a fast neutron measurement experiment was successfully performed on the HL-2 M tokamak at the Southwestern Institute of Physics,*** experimental results demonstrated that the system obtained the neutron and gamma spectra with a time accuracy of 1 *** count rates of up to 1 Mcps,the figure of merit was greater than 1.05 for energies between 50 keV and 2.8 MeV.

关键词： Neutron-gamma discrimination Liquid scintillation detector Real-time spectrum analyzer

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Panzhihua Airport Landslide (Oct. 3rd 2009) and an Emergency Monitoring and Warning System Based on the Internet of Things

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Journal of Mountain Science 2013年第5期10卷 873-884页

作者： WANG Hong-hui TUO Xian-guo ZHANG Gui-yu PENG Feng-ling State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu University of Technology Southwest University of Science and Technology

Panzhihua city （26°O5＇-27°21＇N, 101°OS＇- 102°15＇E）, located in a mountainous area, is one of the large cities in Sichuan province, China. A landslide occurred in the filling body of the eastern part of the Panzhihua airport on October 3, 2009 （hereafter called the lo.3 landslide）. We conducted field survey on the landslide and adopted emergency monitoring and warning models based on the Internet of Things （loT） to estimate the losses from the disaster and to prevent a secondary disaster from occurring. The results showed that four major features of the airport site had contributed to the landslide, i.e, high altitude, huge amount of filling rocks, deep backfilling and great difficulty of backfilling. The deformation process of the landslide had six stages and the unstable geological structure of high fillings and an earthquake were the main causes of the landslide. We adopted relative displacement sensing technology and Global System for Mobile Communications （GSM） technology to achieve remote, real-time and unattended monitoring of ground cracks in the landslide. The monitoring system, including five extensometers with measuring ranges of 200, 450 and 7oo mm, was continuously working for 17 months and released 7 warning signals with an average warning time of about 26 hours. At 10 am on 6 December 2009, the system issued a warning and on-site workers were evacuated and equipment protected immediately. At 2：20 medium-scale collapse monitoring site, which proved the reliability pm on 7 December, a occurred at the No. 5 justified the alarm and and efficiency of the monitoring system.

关键词： Landslide Panzhihua Airport Internetof Things （IoT） Emergency monitoring

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Ballistic deficit compensation method for a large-volume HPGe detector at high count rates

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nuclear Science and Techniques 2016年第3期27卷 123-131页

作者： Chuan-Yun Xiong Ming-Zhe Liu Zhuo Zuo Xian-Guo Tuo State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu 610059China College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China

A large-volume HPGe detector normally has a severe ballistic deficit due to its long rise time of the output *** the trapezoidal shaping algorithm adopted as a remedy to deal with the signals,the algorithm cannot fully eliminate the ballistic deficit in the case of a high counting *** resolve the problem,we propose a ballistic deficit compensation method that is based on the measurement of rise time of the signals before *** find that the ballistic deficit after trapezoidal shaping has little relation to the time constant,but shows a quadratic relationship with the rise time and has a negative correlation with the shaping *** the case of high count rates,the high resolution is handled by fitting the curve to the rise time and the amplitude deficit of the signal after shaping and by compensating for the signal amplitude after trapezoidal *** indicate that when the count rate is about 100 kcps,the resolution of Co-60 improves from traditional 2.32 up to 1.91 keV,thus reaching a higher level.

关键词：高计数率补偿方法 HPGe探测器亏损弹道大体积输出信号上升时间

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Optimization method of Hadamard coding plate inγ‑ray computational ghost imaging

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nuclear Science and Techniques 2023年第1期34卷 146-156页

作者： Zhi Zhou San‑Gang Li Qing‑Shan Tan Li Yang Ming‑Zhe Liu Ming Wang Lei Wang Yi Cheng College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu University of TechnologyChengdu 610059China Institute of Plasma Physics Hefei Institutes of Physical ScienceChinese Academy of ScienceHefei 230031China University of Science and Technology of China Hefei 230026China

Owing to the constraints on the fabrication ofγ-ray coding plates with many pixels,few studies have been carried out onγ-ray computational ghost ***,the development of coding plates with fewer pixels is essential to achieveγ-ray computational ghost *** on the regional similarity between Hadamard subcoding plates,this study presents an optimization method to reduce the number of pixels of Hadamard coding ***,a moving distance matrix was obtained to describe the regional similarity ***,based on the matrix,we used two ant colony optimization arrangement algorithms to maximize the reuse of pixels in the regional similarity area and obtain new compressed coding *** full sampling,these two algorithms improved the pixel utilization of the coding plate,and the compression ratio values were 54.2%and 58.9%,*** addition,three undersampled sequences(the Harr,Russian dolls,and cake-cutting sequences)with different sampling rates were tested and *** different sampling rates,our method reduced the number of pixels of all three sequences,especially for the Russian dolls and cake-cutting ***,our method can reduce the number of pixels,manufacturing cost,and difficulty of the coding plate,which is beneficial for the implementation and application ofγ-ray computational ghost imaging.

关键词： γ-ray computational ghost imaging Regional similarity Hadamard coding plate

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Analysis of Teaching Influencing Factors and Teaching Reform of Numerical Analysis Course Based on BP Neural Network 5

Analysis of Teaching Influencing Factors and Teaching Reform...

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5th IEEE Eurasian Conference on Educational Innovation, ECEI 2022

作者： Qin, Qingao Li, Fei Gu, Yi Gu, Zhixing Ge, Liangquan Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9781665433181

Numerical analysis course has important guiding significance for data analysis ability of science and engineering graduate students. Based on BP neural network, we study the teaching influencing factors and teaching reform analysis of numerical analysis course. The teaching quality evaluation of numerical analysis is constructed based on BP neural network. The course of numerical analysis is evaluated from the aspects of classroom teaching, extracurricular development, students' knowledge reserve, and teaching results. 0.820675 is the related coefficient between the predicted value of the neural network and the actual value of questionnaire results, which shows that the constructed teaching quality evaluation model is reliable. Through the related coefficient analysis of the data, the main factors affecting the quality of teaching are obtained to provide new direction and orientation for teaching reform. © 2022 IEEE.

关键词： Teaching

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Research on control and optimization of heavy-duty electromagnetic bearing of large-capacity energy storage flywheel 10

Research on control and optimization of heavy-duty electroma...

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10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Zhao, Wenhao Liu, Wei Qu, Guangyu Jing, Hailian Huang, Jiancheng Chengdu University of Technology College of Nuclear Technology and Automation Engineering China

ISBN: (纸本)9798350351330

The rotor of a large-capacity flywheel energy storage system will cause energy loss due to air and mechanical resistance during high-speed operation, and the traditional PID control cannot take into account the system robustness under the large-sized and heavy-loaded rotor of the electromagnetic bearing system. This paper takes the heavy-duty electromagnetic bearing system as the research object, builds a fractional-order PID controller suitable for this system, and compares and analyses the operating characteristics of the electromagnetic bearing with that of the electromagnetic bearing under traditional PID control. The study shows that for the large-capacity energy storage flywheel heavy-duty electromagnetic bearing system, the use of fractional-order PID control technology can provide better control performance and anti-jamming ability, and thus ensure the stability and safety of the energy storage flywheel system. © 2024 IEEE.

关键词： Energy dissipation

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Ramp Driving of Automatic Car and Its Practical Application 22

Ramp Driving of Automatic Car and Its Practical Application

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2nd International Conference on Human Machine Interaction, ICHMI 2022

作者： Li, Zhimin Peng, Haojin Zhao, Zixiang College of Nuclear Technology and Automation Engineering Chengdu University of Technology China

ISBN: (纸本)9781450396615

With the rapid development and maturity of core technologies such as environmental perception, multi-sensor fusion, intelligent decision-making, control and execution systems, high-precision maps and positioning, autonomous vehicles have moved from the laboratory to the stage of open road field testing and commercial demonstration. The automated guided vehicle (AGV) used in complex conditions is a key factor of factory practical application. The electric car designed in this paper is mainly equipped with STM32 CPU, infrared sensor and DC motor. By studying the motion process of electric car climbing at a uniform speed under different slopes, the actual motion state of electric car under different slopes is analyzed. Based on the design of the ramp driving car, the concept of constant speed climbing, PID control algorithm and slope applicability are extended to the factory AGV, so as to provide a reasonable optimization design for its practical engineering application in complex conditions. © 2022 ACM.

关键词： Decision making

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