Noodle slicing robot as well as noodle slicing control method and noodle slicing control system thereof

Abstract

The invention relates to the field of making of foods and provides a noodle slicing control method of a noodle slicing robot. The noodle slicing control method comprises the following steps: A, the noodle slicing robot is reset after the noodle slicing robot is started up or the fact that a dough blank is rearranged on a dough disc is detected; B, after receiving a noodle slicing working instruction, the noodle slicing robot further detects whether current environmental conditions satisfy pre-set environmental conditions so as to judge whether noodles are suitable for being sliced currently; and C, in the event of judging that the noodles are suitable for being sliced currently in the step B, the noodle slicing robot carries out noodle slicing action on the dough blank, and, in the event of judging that the noodles are not suitable for being sliced currently in the step B, the step B is repetitively executed till the judgment result in the step B is that the noodles are suitable for being sliced currently. By adoption of different working modes or manners, the intelligent degree of the noodle slicing robot is improved to a certain degree; and conditions with different passenger flow volumes can be dealt with, therefore, the working efficiency of the noodle slicing robot is increased, and the power consumption of the noodle slicing robot is reduced.

Description

technical field [0001] The invention belongs to the field of food production, and in particular relates to a noodle-cutting robot, a noodle-cutting control method and a control system thereof. Background technique [0002] With the improvement of living standards, people pay more attention to the scientific nature of diet, and pasta is loved by more and more people because of its unique nutritional content and easy-to-digest characteristics. There are many varieties and methods of pasta, among which sliced ​​noodles are the most common. Sliced ​​noodles are loved by diners at home and abroad for their unique flavor, medium-thick shape with thin sides, and chewy and smooth texture. [0003] According to the research on noodle cutting machines currently on the market and the retrieval of existing technical documents, the existing noodle cutting machines only stay at the technical level of cutting noodles, and they have disadvantages such as complicated operation and low intel...

AI Technical Summary

Problems solved by technology

[0003] According to the research on noodle cutting machines currently on the market and the retrieval of existing technical documents, the existing noodle cutting machines only stay at the technical level of cutting noodles, and they have disadvantages such as complicated operation and low intelligence, which are specifically reflected in the following aspects Aspects: 1. The amount of noodle sliced ​​by the existing knife noodle machine is controlled by the operator's feeling. It is impossible to accurately control the amount of noodle sliced ​​each time, resulting in inconsistent output per unit. The feeling given to customers is the amount of noodle eaten each time. 2. The existing knife-cut noodle machine does not detect the temperature of the water in the pot and has no timing or control function for the cooking time of the noodles. It also depends on the operator's feeling and experience to operate, so it is difficult to guarantee the quality of each noodle produced. Or the consistency of taste; 3. The existing noodle slicer only has one working mode, and the noodle slicer parameters, working methods or modes of the noodle slicer cannot be adjusted, and the noodle product is single, which cannot meet the changing needs of different customers and passenger flow

It is precisely because there is no quantitative, convenient, intelligent, and stable knife-shaved noodle system that the promotion of knife-shaved noodles is greatly restricted, so that this traditional delicacy cannot be better enjoyed by people all over the world.

Images