Food safety risk assessment method, device and equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, can be applied to the field of smart government affairs, and discloses a food safety risk assessment method, device and equipment and a storage medium, which are used for improving the efficiency and accuracy of food safety risk assessment. The method comprises the following steps: acquiring risk characteristic data of a plurality of catering enterprises; determining a positive sample and a negative sample according to the risk characteristic data; generating a training set according to the positive sample and the negative sample,and inputting the training set into a preset decision tree model for training to obtain a target decision tree; respectively obtaining a path from a root node of the target decision tree to each leafnode, and generating a corresponding food safety risk feature combination according to each path, calculating a corresponding risk assessment value, marking the risk assessment value on a corresponding leaf node of the target decision tree to obtain a food safety risk assessment model, and performing food safety risk assessment on the catering enterprise to be assessed, wherein the risk characteristic data of the catering enterprise can be stored in the block chain.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a food safety risk assessment method, device, equipment and storage medium. Background technique [0002] Food safety has always been an issue that society attaches great importance to. In recent years, the contradiction between the large number of catering enterprises, geographical dispersion, fast update iterations and few food safety supervisors has become increasingly prominent. Under the premise that the risk level of each region is not clear, it is still only possible to select some supervision objects based on experience or other random conditions For example, every catering enterprise should be inspected at least once a year. This method cannot detect risks in time, and it is easy to cause risks out of control and ineffective use of limited regulatory power. [0003] As the concept of food safety supervision has changed from post-investigation to pre-prevention,...

AI Technical Summary

Problems solved by technology

The existing food safety risk assessment methods are generally assessed by supervisors on the spot. This assessment method is inefficient, and the impact of various assessment indicators on food safety risks depends on human judgment, which cannot guarantee the objectivity and accuracy of risk assessment. sex

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