Construction and Application of Intelligent Supervision Platform for Food Safety in Colleges and Universities Under Big Data Technology
- DOI
- 10.2991/978-94-6463-044-2_101How to use a DOI?
- Keywords
- Big data technology; Hadoop cluster; Network construction; Food safety in colleges and universities
- Abstract
In this paper, the application system of intelligent supervision platform for food safety in colleges and universities is developed by combining the advantages of big data technology to efficiently process massive data. The purpose of this paper is to provide a supervision platform for campus food safety data for different personnel through javaweb system based on computer terminals. The bottom layer of the platform is provided with data processing function by hadoop data cluster and query function of data required by users by mysql database. The main functions of the application are developed by SSM development framework and displayed by jquery tool design page to complete the system construction. The application of big data technology in food safety supervision can realize the comprehensive management of video monitoring of operation, traceability of raw material information, food quality inspection data and complaints from students and teachers.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lei Su PY - 2022 DA - 2022/12/27 TI - Construction and Application of Intelligent Supervision Platform for Food Safety in Colleges and Universities Under Big Data Technology BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 810 EP - 814 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_101 DO - 10.2991/978-94-6463-044-2_101 ID - Su2022 ER -