大学化学 >> 2026, Vol. 41 >> Issue (7): 459-467.doi: 10.12461/PKU.DXHX202506038

未来化学家 上一篇    

AI赋能化学实验：自主设计的智能滴定系统实践与思考

袁逸, 马海凤, 王凤彬, 王庆, 田笑丛   

  1. 南京大学化学化工学院, 化学国家级实验教学示范中心(南京大学), 江苏 南京 210023
  • 收稿日期:2025-06-10 录用日期:2025-10-17 发布日期:2026-06-27
  • 通讯作者: 田笑丛 E-mail:tianxc@nju.edu.cn Xiaocong Tian
  • 基金资助:
    化学一流专业建设(145011)

AI-empowered chemistry experiments: practice and reflection on a self-designed intelligent titration system

Yi Yuan, Haifeng Ma, Fengbin Wang, Qing Wang, Xiaocong Tian   

  1. National Demonstration Center for Experimental Chemistry Education (Nanjing University), School of Chemistry & Chemical Engineering, Nanjing 210023, Jiangsu Province, China
  • Received:2025-06-10 Accepted:2025-10-17 Published:2026-06-27
  • Contact: Xiaocong Tian E-mail:tianxc@nju.edu.cn

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摘要： 介绍了一个自主设计的AI智能滴定系统，通过图像识别技术自动化传统滴定过程。以乙二胺四乙酸二钠(EDTA)滴定钙离子(Ca2+)溶液为例，在pH值为12-13的条件下，系统通过高清摄像头采集溶液颜色变化图像，并结合深度学习算法实时判断滴定进程和终点。与传统手动滴定方法相比，AI系统不仅提高了滴定的精度和效率，还通过光电传感器精准计数滴数，实时调整滴定速率。实验结果表明，改进后的AI系统在滴定体积和浓度测定上精度较高，且显著减少了人为误差，具备了较强的实验自动化能力。该系统为化学实验的智能化与自动化提供了有效的技术支持，未来有望在教育和工业应用中得到广泛推广。

关键词: 自主设计, 智能滴定系统, AI赋能, 图像识别

Abstract: This paper presents a self-designed AI-powered titration system that automates conventional titration processes through image recognition technology. Using the titration of calcium ions (Ca2+) with ethylenediaminetetraacetic acid disodium salt (EDTA) as a case study under pH conditions of pH = 12-13, the system employs a high-definition camera to capture solution color changes. Integrated with deep learning algorithms, it enables real-time monitoring of titration progress and endpoint determination. Compared to traditional manual titration, the AI-enhanced system not only enhances precision and efficiency but also utilizes a photonic sensor for precise drop counting and real-time titration rate adjustment. Experimental results demonstrate that the optimized AI system achieves high accuracy in both titration volume and concentration determination, significantly minimizing human error while exhibiting robust automation capabilities. This system offers effective technological support for advancing the intelligence and automation of chemical experiments, with promising potential for widespread application in educational and industrial settings.

Key words: Independent design, Intelligent titration system, AI empowerment, Image recognition