学生消费预警算法模型

消费预警算法模型是对学生在校消费数据按照算法模型进行统计分析，按月统计分析学生消费数据，包含一个月的就餐顿数、平均每顿消费金额，将个人数据与全校总体平均数据进行比对，根据比对结果找出消费异常的学生数据，为学校贫困生评选提供数据支撑服务，同时也为饮食服务中心提供消费结果反馈，帮助饮食服务中心及时调整配餐、就餐、平价窗口等各项服务。

The Consumption Early Warning Algorithm Model uses algorithmic models to conduct statistical analysis on students' campus consumption data. It performs monthly statistical analysis of such data, which covers two core metrics: the total number of meals consumed by a student within a month and the average expenditure per meal. The model compares each student's personal consumption data against the overall average data of the entire school, and identifies students with abnormal consumption patterns based on the comparison results. It provides data support services for the school's poverty-stricken student selection work, while also feeding back consumption analysis results to the campus catering service center, helping the center timely adjust various services including meal preparation, dining arrangements and affordable service windows.