A Novel Digital and Intelligent Automatic Kebab Machine Based on Grilling Recommendation Model

In a fast-paced contemporary life, people pay more attention to the rapidity of food. Kebab as a kind of food is loved by people, at present many kebab store dining efficiency is low, kebabs are in short supply, while the existing kebab equipment in the level of intelligence is still deficient, unable to meet the needs of consumers and investors. In order to solve the above problems, grilling automation can be realized with the help of intelligent grilling methods. In this paper, we design a new digital and intelligent kebab grilling machine based on the grilling recommendation model, which combines hardware design and software development to improve efficiency through intelligent grilling. We designed a kebab machine with a layered architecture, which not only has the function of grilling but also can monitor the grilling process in real-time. The software platform receives the kebab matching queue through an external interface and generates matching information through the bake recommendation model, which is displayed on the interface of the software platform. The kebab machine interacts with the software platform in real-time and uploads the kebab process data to the software platform for statistics and storage. Based on these data, data visualization tools are used to analyze the changes in the ripeness of different types of kebabs and to study the relationship between grilling time, grilling temperature, and kebab ripeness.