Research and design of multiple gas mixing system in modified atmosphere packaging

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<sub>2</sub> and O<sub>2</sub> 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.

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Publication Details

Journal
Scientific Reports
Published
2024-12-03
DOI
https://doi.org/10.1038/s41598-024-81366-2
Citations
1
Primary Topic
Embedded Systems and FPGA Design
Type
article
Field-Weighted Citation Impact
0.33

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article

Research and design of multiple gas mixing system in modified atmosphere packaging

Yulong Ding, Xiaokang Yi, Bin Zhang, Xuemin Zhang et al.
1 citations
Scientific Reports
Embedded Systems and FPGA Design
0.33
article

Research and design of multiple gas mixing system in modified atmosphere packaging

Yulong Ding, Xiaokang Yi, Bin Zhang, Xuemin Zhang, Xiaodan Lin, Shaohui Ma
article en
1 citations

Abstract

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<sub>2</sub> and O<sub>2</sub> 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.

Scientific ReportsVol. 14(1)
Tarim University (CN), China Agricultural University (CN)
National Natural Science Foundation of China, Tarim University
Openalex Percentile: Top 39%
Embedded Systems and FPGA Design
0.33
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