Research for detecting or obtaining radionuclide by gamma energy spectrum data acquisition and process system is one of the key issues about intelligent measurement of gamma-ray spectrum. For this reason, a software a...Research for detecting or obtaining radionuclide by gamma energy spectrum data acquisition and process system is one of the key issues about intelligent measurement of gamma-ray spectrum. For this reason, a software and hardware implementation schematic design based on ARM ( Advanced RISC Machines) + DSP ( Digital Signal Processor) architecture for gamma energy spectrum data acquisition and processing system is proposed. The paper discusses in detail some key technologies such as communication interface design between microcontroller ARM and digital signal processor DSP,distribution scheduling under multi-task in the ARM-Linux,DSP handling procedures for multi-channel A / D high-speed sample. At the same time,because the traditional Gaussian fitting to determine the boundary of peak is not ideal,it puts forward a weighting factor of Gaussian function least squares fitting realize boundary determined. Finally gamma-spectrum data from sodium iodide NaI( TI) scintillation detector is tested and processed in the new system. The results show that gamma energy spectrum data acquisition and process system is perfect functionality, stable and convergence in unimodal. Compared with data from conventional energy spectrometers,the system can keep better energy resolution in a wide range of pulse pass rate.展开更多
With the development of Laser Induced Breakdown Spectroscopy （LIBS）, increasing numbers of researchers have begun to focus on problems of the application. We are not just satisfied with analyzing what kinds of eleme...With the development of Laser Induced Breakdown Spectroscopy （LIBS）, increasing numbers of researchers have begun to focus on problems of the application. We are not just satisfied with analyzing what kinds of elements are in the samples but are also eager to accomplish quantitative detection with LIBS. There are several means to improve the limit of detection and stability, which are important to quantitative detection, especially of trace elements, increasing the laser energy and the resolution of spectrometer, using dual pulse setup, vacuuming the ablation environment etc. All of these methods are about to update the hardware system, which is effective but expensive. So we establish the following spectrum data processing methods to improve the trace elements analysis in this paper： spectrum sifting, noise filtering, and peak fitting. There are small algorithms in these three method groups, which we will introduce in detail. Finally, we discuss how these methods affect the results of trace elements detection in an experiment to analyze the lead content in Chinese cabbage.展开更多
The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI （TI） gamma-ray detectors. For statistical fluctuation of radioactivity under complex environment, some smoothi...The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI （TI） gamma-ray detectors. For statistical fluctuation of radioactivity under complex environment, some smoothing filtering methods are proposed to solve the problem. These methods include adopting method of arithmetic moving average, center of gravity, least squares of polynomial, slide converter of discrete funcion convolution etc. The process of spectrum data is realized, and the results are assessed in H/FWHM（ Peak High/Full Width at Half Maximum） and peak area based on the Matlab programming. The results indicate that different methods smoothed spectrum have respective superiority in different ergoregion, but the Gaussian function theory in discrete function convolution slide method is used to filter the complex y-spectrum on Embedded system nlatform, and the statistical fluctuation of y-snectrum filtered wall.展开更多
速度谱拾取是地震数据处理的重要环节,传统的速度谱拾取方法通常需要人工干预,耗时、耗力且容易出错。因此,提出了基于单次目标检测v8(You Only Look Once v8,简称YOLOv8)神经网络的智能速度谱拾取技术,通过将速度谱数据转换为图像识别...速度谱拾取是地震数据处理的重要环节,传统的速度谱拾取方法通常需要人工干预,耗时、耗力且容易出错。因此,提出了基于单次目标检测v8(You Only Look Once v8,简称YOLOv8)神经网络的智能速度谱拾取技术,通过将速度谱数据转换为图像识别问题,实现了速度谱拾取的自动化和智能化。此项技术的核心方法是将速度谱数据转换图像,然后输入到构建的YOLOv8神经网络模型中,通过模型中的特征提取网络学习速度谱图像中的能量团空间信息,再通过特征融合网络将提取的浅、中、深层不同尺度的能量团特征进行融合,更全面地捕捉该图像的能量团特征,进而通过检测头部分精细预测能量团目标,获得速度谱图像对应不同拾取位置的像素点,将像素点进行对应换算,最终得到“时间-速度”对数据。针对中国石化江苏油田GY探区火成岩发育、多次波干扰强等特点,构建了包含1200张速度谱图像的数据集,通过优化训练参数,模型准确度和召回率均达到90%左右。YOLOv8神经网络的智能速度谱拾取技术在高覆盖区域与人工拾取的速度曲线吻合度超过94%;在覆盖区域3500 ms以上吻合度超过90%;在火成岩和断裂发育区域吻合度约92%。与传统卷积神经网络(CNN)方法相比,YOLOv8神经网络的智能速度谱拾取技术拾取点更多、位置更准确,且单张速度谱处理时间仅需10 ms,效率提升显著。此项技术为地震资料处理提供了高效、准确的智能解决方案,具有重要的推广应用价值。展开更多
The spectrum user’s librarys containing 1533 familiar toxicants have been built; A method with high separability and sensitivity has been found,The RT and the detection limit of 210 familiar abuse drugs has been conf...The spectrum user’s librarys containing 1533 familiar toxicants have been built; A method with high separability and sensitivity has been found,The RT and the detection limit of 210 familiar abuse drugs has been confirmed; the processing methods to analyse spectrum data automatically have been found; It is simple,quick,sensitive and reliable,and can take place of manual operation,It is very useful to screen the familiar toxicants in unkown sample.展开更多
EH-4电导率成像系统的数据处理仍依赖于DOS界面下的数据采集和处理软件IMAGEM,不仅使用不便,而且有效频点少、频率分布不均匀、抗干扰能力差.本文在剖析EH-4系统数据处理流程的基础上,正确地读取了EH-4系统原始时间序列文件,采用周期图...EH-4电导率成像系统的数据处理仍依赖于DOS界面下的数据采集和处理软件IMAGEM,不仅使用不便,而且有效频点少、频率分布不均匀、抗干扰能力差.本文在剖析EH-4系统数据处理流程的基础上,正确地读取了EH-4系统原始时间序列文件,采用周期图方法重新计算了自功率谱、互功率谱和张量阻抗分量,以及由阻抗定义的视电阻率,编制了专用软件EH4 Data Processing Program.由于重构阻抗文件的频点数约是原始阻抗文件的6倍,极大地增加了纵向数据密度,提高了分辨率和解释可靠性.实例应用表明了方法的正确、有效和可靠,具有推广价值.展开更多
基金Sponsored by the Natural Science Fundation of Jiangxi Province(Grant No.20114BAB211026 and No.20122BA-B201028)Open Science Fund from Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National Defense,East China Institute of Technology(Grant No.2010RGET11)
文摘Research for detecting or obtaining radionuclide by gamma energy spectrum data acquisition and process system is one of the key issues about intelligent measurement of gamma-ray spectrum. For this reason, a software and hardware implementation schematic design based on ARM ( Advanced RISC Machines) + DSP ( Digital Signal Processor) architecture for gamma energy spectrum data acquisition and processing system is proposed. The paper discusses in detail some key technologies such as communication interface design between microcontroller ARM and digital signal processor DSP,distribution scheduling under multi-task in the ARM-Linux,DSP handling procedures for multi-channel A / D high-speed sample. At the same time,because the traditional Gaussian fitting to determine the boundary of peak is not ideal,it puts forward a weighting factor of Gaussian function least squares fitting realize boundary determined. Finally gamma-spectrum data from sodium iodide NaI( TI) scintillation detector is tested and processed in the new system. The results show that gamma energy spectrum data acquisition and process system is perfect functionality, stable and convergence in unimodal. Compared with data from conventional energy spectrometers,the system can keep better energy resolution in a wide range of pulse pass rate.
基金supported by National High-Tech R&D Program(863 Program),China(No.2013AA102402)
文摘With the development of Laser Induced Breakdown Spectroscopy （LIBS）, increasing numbers of researchers have begun to focus on problems of the application. We are not just satisfied with analyzing what kinds of elements are in the samples but are also eager to accomplish quantitative detection with LIBS. There are several means to improve the limit of detection and stability, which are important to quantitative detection, especially of trace elements, increasing the laser energy and the resolution of spectrometer, using dual pulse setup, vacuuming the ablation environment etc. All of these methods are about to update the hardware system, which is effective but expensive. So we establish the following spectrum data processing methods to improve the trace elements analysis in this paper： spectrum sifting, noise filtering, and peak fitting. There are small algorithms in these three method groups, which we will introduce in detail. Finally, we discuss how these methods affect the results of trace elements detection in an experiment to analyze the lead content in Chinese cabbage.
基金Sponsored by the Natural Science Fundation of Jiangxi Province(Grant No.20114BAB211026 and 20122BAB201028)the Open Science Fund from Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National Defense,East China Institute of Technology(Grant No.2010RGET11)
文摘The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI （TI） gamma-ray detectors. For statistical fluctuation of radioactivity under complex environment, some smoothing filtering methods are proposed to solve the problem. These methods include adopting method of arithmetic moving average, center of gravity, least squares of polynomial, slide converter of discrete funcion convolution etc. The process of spectrum data is realized, and the results are assessed in H/FWHM（ Peak High/Full Width at Half Maximum） and peak area based on the Matlab programming. The results indicate that different methods smoothed spectrum have respective superiority in different ergoregion, but the Gaussian function theory in discrete function convolution slide method is used to filter the complex y-spectrum on Embedded system nlatform, and the statistical fluctuation of y-snectrum filtered wall.
文摘速度谱拾取是地震数据处理的重要环节,传统的速度谱拾取方法通常需要人工干预,耗时、耗力且容易出错。因此,提出了基于单次目标检测v8(You Only Look Once v8,简称YOLOv8)神经网络的智能速度谱拾取技术,通过将速度谱数据转换为图像识别问题,实现了速度谱拾取的自动化和智能化。此项技术的核心方法是将速度谱数据转换图像,然后输入到构建的YOLOv8神经网络模型中,通过模型中的特征提取网络学习速度谱图像中的能量团空间信息,再通过特征融合网络将提取的浅、中、深层不同尺度的能量团特征进行融合,更全面地捕捉该图像的能量团特征,进而通过检测头部分精细预测能量团目标,获得速度谱图像对应不同拾取位置的像素点,将像素点进行对应换算,最终得到“时间-速度”对数据。针对中国石化江苏油田GY探区火成岩发育、多次波干扰强等特点,构建了包含1200张速度谱图像的数据集,通过优化训练参数,模型准确度和召回率均达到90%左右。YOLOv8神经网络的智能速度谱拾取技术在高覆盖区域与人工拾取的速度曲线吻合度超过94%;在覆盖区域3500 ms以上吻合度超过90%;在火成岩和断裂发育区域吻合度约92%。与传统卷积神经网络(CNN)方法相比,YOLOv8神经网络的智能速度谱拾取技术拾取点更多、位置更准确,且单张速度谱处理时间仅需10 ms,效率提升显著。此项技术为地震资料处理提供了高效、准确的智能解决方案,具有重要的推广应用价值。
文摘The spectrum user’s librarys containing 1533 familiar toxicants have been built; A method with high separability and sensitivity has been found,The RT and the detection limit of 210 familiar abuse drugs has been confirmed; the processing methods to analyse spectrum data automatically have been found; It is simple,quick,sensitive and reliable,and can take place of manual operation,It is very useful to screen the familiar toxicants in unkown sample.
文摘EH-4电导率成像系统的数据处理仍依赖于DOS界面下的数据采集和处理软件IMAGEM,不仅使用不便,而且有效频点少、频率分布不均匀、抗干扰能力差.本文在剖析EH-4系统数据处理流程的基础上,正确地读取了EH-4系统原始时间序列文件,采用周期图方法重新计算了自功率谱、互功率谱和张量阻抗分量,以及由阻抗定义的视电阻率,编制了专用软件EH4 Data Processing Program.由于重构阻抗文件的频点数约是原始阻抗文件的6倍,极大地增加了纵向数据密度,提高了分辨率和解释可靠性.实例应用表明了方法的正确、有效和可靠,具有推广价值.
