Abstract
Food safety is the focus of people’s attention. This year, there have a lot of bad pieces of news related to food safety, which has increased people’s attention to it. According to the requirements for traceability of platform food information attributes, the article aims to study the implementation of grids for food safety governance in the context of big data. This paper designs a nonconformity rate evaluation index to screen qualified food through the grid management of the area using big data processing under the DHRA copy management strategy to achieve the function of assisting food safety supervision. The experimental results of this paper show that grid management can effectively and quickly manage food safety problems. The method of this paper can also optimize the error of food detection, and the error can reach less than 2% in the end. It makes people’s lives safer and ensures that the food they consume is safer.
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