Dynamic management and control of the risk of carbon dioxide content exceeding the standard in green food production base
by Shengli Xu
International Journal of Environmental Technology and Management (IJETM), Vol. 23, No. 5/6, 2020

Abstract: In order to solve the problems of low accuracy and long time consumption of the traditional monitoring methods for carbon dioxide content risk in food production areas, this paper proposes a new dynamic management and control scheme for the risk of carbon dioxide content exceeding the standard. PSO-BP neural network algorithm is used to obtain the carbon dioxide content value. The experimental results show that: the scheme can accurately monitor the change trend of carbon dioxide content, indicating the specific situation of carbon dioxide content exceeding the standard; the mean value of relative error of carbon dioxide gas content detection is less than 1.8%; and it can realise the high-efficiency and real-time control of the risk of carbon dioxide content exceeding the standard, so as to provide an effective guarantee for the safety and health of green food.

Online publication date: Fri, 09-Apr-2021

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