Student Food Data Analysis System

Xin-run LI, Jun-yi ZHANG, Yu HUANG, Zi-ling ZENG, Cheng DU

Abstract


In today's society where science and technology is rapidly developing, the level of information is increasing year by year, and the canteen needs to change the status quo to provide students with quality food service. Combine the dietary data that can be collected in the canteen with big data to reduce waste and improve the quality of students' diet. Based on the current situation of the need for student canteens, this paper describes the concept of smart canteen construction, and introduces the i-plates big data analysis system—the system of collecting information based on single-chip RFID technology, python data analysis and computer-side information display; Based on the dietary data, the students' nutrition and health information is generated through data analysis and delivered to students and parents through the webpage, thus promoting the common development of both students and canteens.

Keywords


Big data analysis, Embedded system design and development


DOI
10.12783/dtetr/ecar2018/26365

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