Zhang Bin, Lin Xiaodan, Zhang Xuemin, Yi Xiaokang, Ma Shaohui, Ding Yu
College of Mechanical and Electrical Engineering, Tarim University, Alar, 843300, China.
Department of Xinjiang Uygur Autonomous Region, Modern Agricultural Engineering Key Laboratory at Universities of Education, Tarim University, Alar, 843300, China.
Sci Rep. 2024 Dec 3;14(1):30080. doi: 10.1038/s41598-024-81366-2.
Despite the abundant production of fruits and vegetables in Xinjiang, there is an increasing trend in waste rates. Gas-controlled packaging techniques are employed post-harvest to enhance freshness and extend shelf life. However, the multi-gas mixing system at the core of this equipment often encounters challenges such as insufficient stability, limited precision, high costs, and inadequate intelligence. In this context, we have developed and designed a multi-gas mixing system for gas-conditioned packaging. The system integrates Internet of Things technology, uses a programmable controller as the core, proposes a ternary gas distribution model based on the ideal gas equation and Dalton's law of partial pressures, and utilizes RS-485 bus, TCP/IP protocol, among others. This ensures communication between the equipment and data transmission with the cloud server while enabling remote control of the gas mixing and blending process via a mobile phone terminal. The system runs stably through testing, with the average relative deviations of CO and O gas concentrations being 0.86% and 0.72%, respectively. This fulfills the technical prerequisites for achieving a gas concentration precision of less than 1%, addressing challenges related to inadequate precision in gas blending, unstable performance, and limited visual representation. Moreover, it significantly reduces equipment costs and operational complexities while serving as a valuable reference for advancing multivariate gas mixing and blending technology in Xinjiang's fruit and vegetable gas-conditioned packaging.
尽管新疆水果和蔬菜产量丰富，但浪费率呈上升趋势。采后采用气调包装技术来提高新鲜度并延长保质期。然而，该设备核心的多气体混合系统经常遇到稳定性不足、精度有限、成本高和智能化不足等挑战。在此背景下，我们开发并设计了一种用于气调包装的多气体混合系统。该系统集成了物联网技术，以可编程控制器为核心，基于理想气体方程和道尔顿分压定律提出了三元气体分配模型，并利用RS-485总线、TCP/IP协议等。这确保了设备之间的通信以及与云服务器的数据传输，同时可通过手机终端对气体混合和调配过程进行远程控制。该系统经测试运行稳定，CO和O气体浓度的平均相对偏差分别为0.86%和0.72%。这满足了实现气体浓度精度小于1%的技术前提，解决了气体调配精度不足、性能不稳定和可视化有限等挑战。此外，它显著降低了设备成本和操作复杂性，同时为推动新疆果蔬气调包装中的多元气体混合和调配技术提供了有价值的参考。
