计算机与现代化 ›› 2024, Vol. 0 ›› Issue (02): 121-126.doi: 10.3969/j.issn.1006-2475.2024.02.019

• 信息系统 • 上一篇    

基于数据驱动的离子源数据智能分析平台

  


  1. (1.东华理工大学信息工程学院,江西 南昌 330013; 2.东华理工大学江西省网络空间安全智能感知重点实验室,江西 南昌 330013)
  • 出版日期:2024-02-19 发布日期:2024-03-19
  • 作者简介: 作者简介:熊卿智(1998—),男,江西南昌人,硕士研究生,研究方向:图像处理,E-mail: qingzhixiong@163.com; 通信作者:李祥(1973—),男,江西萍乡人,教授,博士,研究方向:大数据分析与图像处理,E-mail: tom_lx@126.com; 彭芳伟(1999—),男,江西萍乡人,硕士研究生,研究方向:图像处理,E-mail: 1539329501@qq.com; 金安安(1995—),男,江西南昌人,硕士研究生,研究方向:图像处理,E-mail: anan_1995@126.com.
  • 基金资助:
    国家自然科学基金资助项目(41862012); 江西省网络空间安全重点实验室开放基金(JKLCIP202205)
       

A Data-Driven Intelligent Analysis Platform for Ion Source Data

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  1. (1. School of Information Engineering, East China University of Technology, Nanchang 330013, China; 2. Jiangxi Key Laboratory of Cybersecurity Intelligent Perception, East China University of Technology, Nanchang 330013, China)
  • Online:2024-02-19 Published:2024-03-19

摘要: 摘要:食品安全是事关人们身体健康和生命安全的大事,食品药物残留检测技术是确保食品安全的重要手段。离子源数据封装与处理技术是影响食品药物残留检测质量的瓶颈。受国外软件功能限制,目前离子源数据只能在特定软件平台打开且操作受限。本文针对离子源离线模式数据获取以及处理方法等存在的问题,提出并开发基于数据驱动的离子源智能分析平台,构建简便、高效、准确的智能数据处理分析平台,实现离子源数据的快速获取与分析处理,打破国外软件技术壁垒,为国产离子源仪器设备更新改造提供了新的解决方案。

关键词: 关键词:离子源, 数据分析, 智能平台, 食品安全, 数据驱动

Abstract: Abstract: Food safety is a matter of great significance concerning people’s health and safety. Food and drug residue detection technology is a crucial means to ensure food safety. Ion source data encapsulation and processing technology constitute a bottleneck affecting the quality of food and drug residue detection. Currently, due to restrictions in foreign software functions, ion source data can only be accessed on specific software platforms with limited operations. Addressing the issues related to ion source offline mode data acquisition and processing methods, this paper presents a data-driven intelligent ion source analysis platform. A simple, efficient and accurate intelligent data processing and analysis platform has been built. It enables rapid data acquisition and processing, breaking down technological barriers imposed by foreign software. This proposed solution offers a new solution, particularly in updating and improving domestic ion source equipment.

Key words: Key words: ion source, data analysis, intelligent platform, food safety, data-driven

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