基于大数据的校园餐饮安全预警模型研究

Research on Campus Catering Safety Early Warning Model Based on Big Data

为了解决校园餐饮安全存在的问题,提高餐饮服务质量,将大数据技术和网络技术应用到校园餐饮安全风险预警中,设计餐饮大数据平台,选择和优化餐饮大数据数据处理方法,有效地提取和选择能够满足校园餐饮安全预警模型的特征,提出符合期望的校园餐饮安全预警模型。通过模型评估,该餐饮安全预警模型准确率高于传统的预警模型,预警结果更稳定,有效地提高了预警效果。

In order to solve the problems of campus catering safety and improve the catering service quality,big data technology and network technology are applied to campus catering safety risk early warning.The catering big data platform is designed,the catering big data processing methods are selected and optimized,the characteristics that can meet the campus catering safety early warning model are effectively extracted and selected,and the expected campus catering safety early warning model is proposed.Through the evaluation of the model,the accuracy of the catering safety early warning model is higher than the traditional early warning model,the early warning results are more stable,and the early warning effect is effectively improved.