AI smart food safety early warning traceability assistant management platform

Abstract

The invention discloses an AI smart food safety early warning traceability assistant management platform, which comprises intelligent monitoring equipment, and is characterized in that the intelligent monitoring equipment comprises personnel health monitoring equipment and food safety monitoring equipment; the personnel health monitoring equipment is installed at the entrance of a target area, and is used for performing body temperature detection and disinfection monitoring on people who are about to enter a target area; the food safety monitoring equipment is installed in a target area and used for detecting and monitoring related content of environmental sanitation and safety of the target area, food materials and processing devices related to food material processing and transmitting related detection information and monitoring pictures to the intelligent cloud platform in real time. According to the AI smart food safety early warning traceability assistant management platform, catering kitchen full-informatization management can be realized, the catering kitchen full-informatization management is really fine, standard and normative, safety accidents are completely eradicated, and early warning in advance, supervision in the event, traceability after the event and nutrition reminding are realized.

Description

Technical field: [0001] The invention relates to the field of food processing, specifically an AI smart food safety early warning traceability coordination management platform. Background technique: [0002] With the improvement of people's living standards, more and more attention has been paid to food quality and safety. However, the traditional catering industry relies entirely on the experience of people to operate, and there are huge human factors, such as: human inaction, Interpersonal relationships and human relations, carelessness of operators, lack of technical experience, non-standard, non-standard, inadequate supervisory manpower, inability to supervise in real time, without loopholes, coupled with the traditional humanized management with strong human touch, to the point that the national law Regulations cannot be implemented in practice. [0003] Due to the shortcomings of complex pre-processing, low-throughput, and long-time consumption of samples, the existin...

AI Technical Summary

Problems solved by technology

[0002] With the improvement of people's living standards, more and more attention has been paid to food quality and safety. However, the traditional catering industry relies entirely on the experience of people to operate, and there are huge human factors, such as: human inaction, Interpersonal relationships and human relations, carelessness of operators, lack of technical experience, non-standard, non-standard, inadequate supervisory manpower, inability to supervise in real time, without loopholes, coupled with the traditional humanized management with strong human touch, to the point that the national law Regulations cannot be implemented in practice

[0003] Due to the shortcomings of complex pre-processing, low-throughput, and long-time consumption of samples, the existing detection methods and instruments have been difficult to meet the requirements of fast, high-throughput, and concise food safety. Some foods are not toxic when eaten alone. However, poisoning will occur if mixed food is eaten, and usually people seldom understand the relevant aspects, so it is easy to get food poisoning, and when food poisoning occurs, the staff cannot trace the poisoning records, which is likely to lead to re-poisoning

Moreover, the management of the backstage kitchen is not strict enough, so that non-staff can enter and leave the kitchen at will, which will bring in a lot of viruses or bacteria, making the safety of the eaters unsafe, and the backstage environment cannot be guaranteed.

In addition, when the above-mentioned abnormal situation occurs in the kitchen, the staff cannot know in time