Food safety accident multi-factor risk grade evaluation equipment and evaluation method thereof

Abstract

The invention discloses a food safety accident multi-factor risk grade evaluation method. The grade evaluation method comprises the following steps: step 1, acquiring sample food sampling inspection data; 2, constructing a food sampling inspection knowledge graph according to the sample food sampling inspection data; 3, training a deep learning network GCN model based on the food sampling inspection knowledge graph and the sample food sampling inspection data to obtain a food risk prediction model; step 4, receiving category information of to-be-detected food and to-be-casually-inspected item information; step 5, performing graph extraction on the food sampling inspection knowledge graph based on the category information and the to-be-sampled item information to obtain to-be-detected graph data; and step 6, inputting the to-be-detected map data into the food risk prediction model for calculation to obtain a target risk level corresponding to the to-be-detected food, and constructing the food sampling inspection knowledge map according to the step 1.

Description

technical field [0001] The invention relates to the field of food safety, in particular to a multi-factor risk level evaluation device for food safety accidents and an evaluation method thereof. Background technique [0002] In the current risk assessment of food safety, it is usually necessary to conduct random inspections in the production workshop or store, and store a variety of different foods in multiple test tubes, and then place the test tubes in a mobile sampling box for storage. When testing, the staff needs to repeatedly pick up the test tubes corresponding to the map in the test tube box. When the test tube box is opened, all the test tubes placed in the test tube box cannot be moved out of the test tube box, and different batches cannot be automatically rotated. The test tubes for storage and sampling inspection are inconvenient for the staff to identify and find the corresponding test tubes, resulting in more time to search, and the possibility of taking the wr...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the above-mentioned technical problems, a multi-factor risk level assessment device and its assessment method involving food safety accidents are provided. Sampling inspections are carried out in workshops or stores. A variety of different foods are stored in multiple test tubes, and then the test tubes are placed in a mobile sampling box for storage. When they are sent to the laboratory for testing, staff are required to take them repeatedly in the test tube box. For the test tubes corresponding to the map, when the test tube box is opened, all the test tubes placed in the test tube box cannot be removed from the test tube box, and the test tubes of different batches for storage sampling cannot be automatically rotated, so that it is not convenient for the staff to identify and find the corresponding test tubes. test tubes, it takes more time to search, and there is a possibility of taking wrong test tubes, which increases the working hours and work intensity.

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