儋州市第一中学学生近一周就餐消费水平数据
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本数据有助于儋州市第一中学及时了解学生的每周就餐消费水平,为学校识别并确认贫困生提供辅助决策依据。若学生每周就餐消费水平为“低”,则学校应当对该学生予以关注;若学生每周就餐消费水平为“中”或“高”,则学校无需采取任何行动。1.数据采集:在经原始数据授权的前提下,从本单位运营的“5G智慧食安工业物联网数字化管理平台(SAAS)”上采集儋州市第一中学学生每日就餐数据,包括日期、学生编号、就餐类别、消费金额。 2.算法加工步骤: 第一步,对采集到的原始数据进行去重、脱敏; 第二步,计算近一周每餐平均消费金额Ca:近一周每餐平均消费金额Ca=近一周累计就餐消费金额Ci÷7; 第三步,对近一周就餐消费水平CL进行判定:①若近一周每餐平均消费金额Ca为6.00-8.00元,则判定为“低”;②若近一周每餐平均消费金额Ca为8.01-12.00元,则判定为“中”;③若近一周每餐平均消费金额Ca为12.01-16.00元,则判定为“高”。
This dataset assists Danzhou No.1 Middle School in timely grasping students' weekly dining consumption levels, providing auxiliary decision-making support for the school to identify and confirm financially disadvantaged students. If a student's weekly dining consumption level is classified as "Low", the school shall pay attention to the student; if the level is "Medium" or "High", the school does not need to take any actions. 1. Data Collection: With the authorization of the original data, daily dining data of students from Danzhou No.1 Middle School is collected from the "5G Smart Food Safety Industrial IoT Digital Management Platform (SAAS)" operated by our institution. The collected data includes date, student ID, dining category, and consumption amount. 2. Algorithm Processing Steps: Step 1: Deduplicate and desensitize the collected raw data; Step 2: Calculate the average per-meal consumption amount Ca in the recent week: Ca = Total cumulative dining consumption amount Ci in the recent week ÷ 7; Step 3: Determine the weekly dining consumption level CL: ① If Ca ranges from 6.00 to 8.00 yuan, it is classified as "Low"; ② If Ca ranges from 8.01 to 12.00 yuan, it is classified as "Medium"; ③ If Ca ranges from 12.01 to 16.00 yuan, it is classified as "High".




