Citation: Ziyu Bai, Jiaxin Zhou, Sisi Zhao, Siyu Teng, Xinxin Li, Xiting Wang, Yuwei Dong, Zhen Zhao. Delving into the Captivating Color Transformation of Cobalt: Digital Empowerment of Intelligent Visual Robot Monitoring System for Measuring Thermodynamic Parameters[J]. University Chemistry, ;2026, 41(1): 122-132. doi: 10.12461/PKU.DXHX202505103 shu

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

College of Chemistry and Chemical Engineering, Shenyang Normal University, Shenyang 110034, China

Corresponding author: Sisi Zhao, Yuwei Dong,
Received Date: 30 May 2025
Revised Date: 27 August 2025

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.
- Intelligent vision robot,
- DIB method,
- Thermodynamic parameters,
- Chemical equilibrium
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