Abstract—The combination of automation and biotechnology has led to the emergence of numerous automated biological experiment platforms. However, the utilization of such software necessitates the purchase of a comprehensive equipment package, which hinders secondary development and complicates the user experience. Moreover, the scalability of these platforms in later stages is limited. In this study, the hardware equipment necessary for biosynthesis automation is identified and organized based on the functional modules involved. Subsequently, the development platform is restructured accordingly. The platform incorporates custom communication protocols to facilitate control over individual devices, while the user graphical interface is implemented using C#. The SQL Server database is employed for efficient data management and storage within the platform. This platform enables convenient operation management, modular process design, and future scalability, thereby facilitating the automation of biosynthesis processes and diverse experimental applications. It offers enhanced convenience in managing operations, allows for the modularization of process design, and ensures scalability for future functional expansions. As a result, the platform has the potential to automate the entire biosynthesis process and support a wide range of experimental applications in the future. Finally, utilizing this platform, we successfully conducted a color reaction experiment, leveraging automated operation to minimize human intervention in the experimental process. This approach significantly enhanced experimental efficiency and effectively mitigated experimental errors. By reducing the reliance on manual intervention, the platform proved instrumental in streamlining the experimental workflow and improving overall experimental outcomes.

Keywords—Hardware Integration platform, robot, software systems, automated lab, automation

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Cite: Yijing Chen, Xinyu Tian, Wenlong Zhu, Yusheng Shao, Junjie Zhong, Yiming Lu, Tianwei Tan, "Construction of Automated Experiment Software Platform Based on Hardware Integration," Journal of Software, vol. 19, no. 2, pp. 53-63, 2024.

Copyright @ 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)