大学化学 >> 2026, Vol. 41 >> Issue (1): 122-132.doi: 10.12461/PKU.DXHX202505103

所属专题： 化学实验数字化设计竞赛获奖作品

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谈Co色变——数字化赋能智能视觉机器人监测系统测定热力学参数

白子玉, 周佳欣, 赵思思, 滕思雨, 李欣炘, 王茜婷, 董玉伟, 赵震   

  1. 沈阳师范大学化学化工学院, 沈阳 110034
  • 收稿日期:2025-05-30 录用日期:2025-08-27 发布日期:2025-12-30
  • 通讯作者: 赵思思, 董玉伟 E-mail:zhaoss@synu.edu.cn;ywdong@synu.edu.cn Sisi Zhao, Yuwei Dong
  • 基金资助:
    教育部产学合作协同育人项目(230825190407195, 230802002224242)；辽宁省高校基本科研业务费专项资金平台建设项目(LJ232410166030)

Delving into the Captivating Color Transformation of Cobalt: Digital Empowerment of Intelligent Visual Robot Monitoring System for Measuring Thermodynamic Parameters

Ziyu Bai, Jiaxin Zhou, Sisi Zhao, Siyu Teng, Xinxin Li, Xiting Wang, Yuwei Dong, Zhen Zhao   

  1. College of Chemistry and Chemical Engineering, Shenyang Normal University, Shenyang 110034, China
  • Received:2025-05-30 Accepted:2025-08-27 Published:2025-12-30
  • Contact: Sisi Zhao, Yuwei Dong E-mail:zhaoss@synu.edu.cn;ywdong@synu.edu.cn

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摘要： 本实验以“无机化学实验”钴离子配位反应为基础，面向大学二年级化学专业学生，开展热力学综合实验进阶应用。通过数字化手段改良热力学参数测定，探究温度、浓度对反应平衡及热力学参数的影响，为实验教学提供新思路。传统方法为使用分光光度计且学生手动代入公式计算，本实验采用数字图像技术(DIB)法引入尖端智能视觉机器人监测系统，实现信息的无缝捕捉与数据的连续记录，进而对RGB色彩模型数据进行高效提取。在数字显示和图像处理中，RGB颜色模式是一种基础且广泛使用的颜色系统，通过调整红、绿、蓝三原色强度生成可见光谱。在热力学参数测定的处理阶段，引入高级编程技术(如Python)替代传统手动计算。本实验共计四学时，通过构建以分析、建模、评价和创新能力为核心的高阶思维导向型一站式虚拟仿真实验平台，课中推进数字化实验，并共享创新成果于云端。通过15次实验检验，发现DIB方法与传统方法相比，具有较好的稳定性，从而证明智能视觉机器人结合DIB法测定热力学参数方法的可行性。

关键词: 智能视觉机器人, DIB法, 热力学参数, 化学平衡

Abstract: This study builds upon the cobalt ion coordination reaction from “Inorganic Chemistry Experiments”, developing a thermodynamics comprehensive experiment for second-year chemistry majors. By implementing digital transformation in thermodynamic parameter determination, we systematically investigate how temperature and concentration influence reaction equilibrium and thermodynamic properties, offering innovative approaches for experimental pedagogy. Departing from conventional spectrophotometric measurements with manual formula calculations, our methodology employs a digital image-based (DIB) approach integrated with an intelligent visual robot monitoring system. This cutting-edge system enables seamless information acquisition, continuous data recording, and efficient extraction of RGB color model data. The RGB color model—a fundamental system in digital displays and image processing—generates the visible color spectrum through precise adjustments of red, green, and blue intensities. For data processing, we implement advanced programming techniques (e.g., Python) to replace traditional manual computations. This four-credit experiment establishes a comprehensive virtual simulation platform emphasizing analytical, modeling, evaluative, and innovative competencies, facilitating digital experimentation with cloud-based innovation sharing. Comparative analysis of 15 experimental trials demonstrates superior stability of the DIB method versus conventional approaches, validating the feasibility of intelligent visual robotics combined with DIB methodology for thermodynamic parameter determination.

Key words: Intelligent vision robot, DIB method, Thermodynamic parameters, Chemical equilibrium