摘要
核素分离是放射性同位素制备的关键技术之一,其中快速准确地判断目标核素的分离情况对同位素分离十分重要。本研究针对放射性同位素分离典型过程,基于闪烁体探测器设计和开发了一款放射性同位素分离在线检测软件,用于测量分离过程中管路内流动的放射性情况,包括计数率、放射性核素组成。测量信号传输至分离装置控制系统,进行分析、处理、显示。核素判别中利用序贯贝叶斯核素识别算法,并基于遗传算法优化卡尔曼滤波器,实现更优的参数估计,准确快速地判别混合物中特定放射性核素,提高核素分离过程的效率和准确性。该软件基于串口通信实现设备与系统之间的数据传输,实现了数据采集、实时测量、可视化显示、γ能谱绘制、γ能谱分析、系统设置、流程控制、核素识别等功能,软件界面简洁,经实验测试,运行稳定,人机交互友好,具有较好的实用性和可维护性,可为放射性同位素分离制备在线检测提供技术参考。
The importance of radioisotopes in modern nuclear medicine is becoming more and more significant.It is imperative to speed up independent research and development and get rid of the plight of relying on imports of radioisotopes.Nuclide separation is one of the key technologies for radioisotope preparation,and it is very important for engineers to master the separation process to quickly and accurately judge the separation of target nuclides.Aiming at the typical process of radioisotope separation,an online detection software for radioisotope separation is designed and developed based on scintillation detector.The software is used to measure the radioactivity flowing in the pipeline during the separation process,including count rate and radionuclide composition.The measured signal is transmitted to the control system of the separation device for analysis,processing and display.In the nuclide discrimination,the sequential Bayesian nuclide identification algorithm is used,and the Kalman filter is optimized based on the genetic algorithm to achieve better parameter estimation,accurately and quickly identify specific radionuclides in the mixture,and improve the efficiency and efficiency of the nuclide separation process.accuracy.The software realizes the data transmission between the equipment and the system based on the serial port communication,realizes the functions of data acquisition,real-time measurement,visual display,gamma energy spectrum drawing,gamma energy spectrum analysis,system setting,process control,nuclide identification,etc.,software interface Simple,experimentally tested,stable operation,friendly human-computer interaction,good practicability and maintainability,providing a technical reference for on-line detection of radioisotope separation and preparation.
作者
曾雄
石睿
王洲
刘敏俊
王博
李波
胡映江
ZENG Xiong;SHI Rui;WANG Zhou;LIU Minjun;WANG Bo;LI Bo;HU Yingjiang(Sichuan University of Science&Engineering,School of Science and Engineering,Yibin 644005,China;Nuclear Power Institute of China,Chengdu 610213,China)
出处
《同位素》
CAS
2024年第2期164-172,共9页
Journal of Isotopes
基金
国家自然科学基金项目(42074218、U19A2086、12205210、42374227)
四川省高等教育人才培养质量和教学改革项目(JG2021-1062)
四川轻化工大学研究生教育教学改革研究项目(JG202101)
四川轻化工大学研究生创新基金资助项目(Y2022177)。
关键词
PyQt5
γ能谱分析
串口通信
核素判定
PyQt5
gamma energy spectrum analysis
serial communication
nuclide determination