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Research and Practice of Grain Depot Ecological Precision Measurement and Control Experimental Teaching System based on 5G Edge Calculation | IEEE Conference Publication | IEEE Xplore

Research and Practice of Grain Depot Ecological Precision Measurement and Control Experimental Teaching System based on 5G Edge Calculation


Abstract:

Implementing the Internet plus grain action plan and upgrading the level of information industry is one of the important national policies of the advanced countries in th...Show More

Abstract:

Implementing the Internet plus grain action plan and upgrading the level of information industry is one of the important national policies of the advanced countries in the world. To vigorously develop the informatization of grain enterprises and promote the construction of smart grain depots, we need to focus on strengthening the intelligent upgrading of grain depots and the cultivation of scientific and technological talents. At present, most of the existing ecological measurement and control systems of grain depots still use the traditional manual trigger IoT sensing and acquisition mode. The cable array has problems such as single point of failure, insufficient density, and a long time for one measurement. In addition, the heat capacity of the warehouse wall is easy to cause heat accumulation in the outer ring of the grain pile, and the temperature change lags behind. In the IoT course experiment of engineering degree graduate students in colleges and universities, there is a lack of experimental teaching links combined with engineering projects. This paper designs and implements a 5G edge computing grain depot ecological accurate measurement and control system and engineering experimental teaching platform, which can not only solve the technical difficulties to be overcome in modern grain depots, but also realize the teaching of graduate engineering experiment courses. The experimental teaching effect in the past three years shows that 35 sets of engineering experimental teaching software and hardware devices developed have played an important role in graduate course experiment and engineering training.
Date of Conference: 27 May 2022 - 01 June 2022
Date Added to IEEE Xplore: 11 November 2022
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Conference Location: Austin, TX, USA

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