A Method for Generating Raw Material Order Data Based on Recipe System

Abstract

The invention provides a method for generating raw material order data based on a recipe system, which includes: setting the name and weight of each raw material contained in a single dish, generating a first data packet; inputting the name of the required dish on the terminal and the number of copies, generate a second data packet, and embed a category identification module in the second data packet; the server parses the second data packet, calls out the corresponding raw materials according to the dishes, and generates the first data layer; the server continues to analyze the category identification module, and then Then parse the second data packet to obtain the category of the dish, and generate the second data layer; the server integrates the first data layer and the second data layer, identifies the category of the raw material according to the name of the raw material, and stores different types of raw materials with the same name in the Different order classes are generated in the order. Compared with the prior art, the present invention can effectively reduce the cost of data work, reduce the data pressure on the server at the same time, and realize the processing of complex data of dishes with light weight.

Description

technical field [0001] The invention relates to a method for generating order data, in particular to a method for generating order data for raw materials based on a recipe system. Background technique [0002] The recipe system is an emerging recipe data management system for consumers' daily dietary consumption, which has a wide range of applications in the current market. [0003] The current recipe system is mainly divided into two categories according to the functions realized: one is based on health purposes, such as health data for the elderly, young children or patients, etc., to generate recipes suitable for specific groups of people based on internally set data , to achieve the recipes that meet the health needs of the specific population; the other type is to generate daily menus based on user settings, for example, for the daily menu of the canteen, after setting in the background, the daily recipe changes It is automatically generated, and then the cafeteria pur...

AI Technical Summary

Problems solved by technology

However, in the management of some canteens that emphasize refinement, the same raw material may need to be further classified to meet the needs of different dishes, such as the pork required in green pepper shredded pork and the pork required in mapo tofu There are differences in varieties, and there may be differences in the pork used in different periods of time for a green pepper shredded pork. When small batches of dishes are fried, the original lean meat may be needed, resulting in complex data of multi-category classification and multi-demand classification

[0005] Therefore, for the above-mentioned complex data requirements, the data setting and processing are undoubtedly complex and have a large amount of data. If simple data weight calculations are used, the cost of data work will undoubtedly increase, and a large amount of background will be occupied. Server data storage resources

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