Research on the construction and functions of intelligent food safety supervision systems

Abstract

Abstract This study investigated the existing problems and the optimal solutions in the construction of intelligent food safety supervision systems globally. Through browsing manually and searching by keywords about systems using the Internet as a medium, a total of 35 intelligent systems were collected and analyzed from the aspects of the servers, system performance, user groups, client construction, main functions, and characterized functions. The results showed that the current situation was a lack of unified data standards, the food safety risk early-warning model, sufficient system functional design and food safety professionals' participation, and systematic rules and regulations for system operation. Therefore, improvement measures including developing unified data standards, strengthening the cooperation and sharing of data resources, improving the information-sharing mechanism, building the multi-step dynamic risk early-warning models, and optimizing and improving the subfunctions and characteristic functions should be taken in the future.