基于食用油特性预测食堂用油安全风险数据

食堂用油安全风险数据是一个关键的量化工具，它为评估食物在烹饪过程中使用的食用油的安全性提供了科学和客观的度量。1.本数据有助于食堂有效识别食用油在存储和使用过程中的安全风险，从而制定更精准的食用油安全预防措施，为食堂的食品安全管理提供决策支持。2.通过对比不同时间段的用油安全风险数据，食堂可以了解厨房在一定时间内的食用油安全状况，及时发现并处理潜在的用油安全问题。3.本数据可以对外披露，展示食堂对食用油安全使用的严格监控和承诺，尤其当社会上发生公众性食用油安全事件时，本数据有助于增强用餐者对食堂食品安全工作的信任。4.本数据可用于支持餐饮监管部门对食堂用油安全工作的监督和考核，监管部门还可通过对比不同区域的用油安全风险数据，了解本区域的用油安全状况，发现并解决潜在问题。5.食堂可利用本数据来评估供应商提供的食用油质量，确保供应链中用油环节的安全性，减少因用油问题导致的食品安全事故。6.本数据可用于保险公司在推行食品安全责任保险过程中，评估食堂的保险风险，从而制定更准确的保险费率。1.数据抽取和预处理： （1）数据抽取：在自研的5G智慧食安工业物联网数字化管理平台数据库中抽取食堂用户的用油数据，包括采集日期、采集时间、食堂名称、食用油极性组分含量。（2）数据预处理：对抽取的数据进行清洗，去除重复、错误或无关的信息，以便后续的分析和建模。 2.基于食用油极性组分含量数据预测食堂用油安全风险数据： （1）食用油品质评估：根据极性组分含量评估食用油品质，若极性组分含量≤27PC，则判定为“品质正常”，若极性组分含量＞27PC，则判定为“品质偏低”；（2）统计分析：对本月截至今日食用油品质评估的累计次数和判定为品质偏低的累计次数进行统计；根据“品质偏低累计次数÷评估累计次数×100%”计算本月截至今日累计食用油品质评估异常率；对本月截至今日食用油品质评估连续判定为品质偏低的累计次数进行统计；（3）建立食堂用油安全风险预测模型：食堂用油安全风险指数=本月截至今日累计食用油品质评估异常率×x+本月截至今日食用油品质评估连续判定为品质偏低的累计次数×y；其中x、y为对应的系数，这些均属于商业秘密，故不作详细列举。

The Canteen Edible Oil Safety Risk Dataset is a critical quantitative tool that provides a scientific and objective metric for evaluating the safety of edible oil used during food cooking. 1. This dataset helps canteens effectively identify safety risks of edible oil during storage and use, formulate more precise edible oil safety prevention measures, and provide decision support for canteen food safety management. 2. By comparing oil use safety risk data across different time periods, canteens can grasp the edible oil safety status of their kitchens within a specific period, and timely detect and address potential edible oil safety issues. 3. This dataset can be publicly disclosed to demonstrate the canteen's strict monitoring and commitment to safe edible oil use. Especially when public edible oil safety incidents occur in society, this dataset helps enhance diners' trust in the canteen's food safety work. 4. This dataset can support food and beverage regulatory authorities in supervising and assessing the edible oil use safety work of canteens. Regulatory authorities can also compare oil use safety risk data across different regions to understand the edible oil safety status of their jurisdiction, and detect and resolve potential problems. 5. Canteens can use this dataset to evaluate the quality of edible oil provided by suppliers, ensure the safety of the edible oil use link in the supply chain, and reduce food safety accidents caused by edible oil-related issues. 6. This dataset can be used by insurance companies to assess the insurance risk of canteens during the promotion of food safety liability insurance, so as to formulate more accurate insurance premium rates. 1. Data Extraction and Preprocessing: (1) Data Extraction: Extract edible oil use data of canteen users from the database of the self-developed 5G Smart Food Safety Industrial Internet of Things (IIoT) digital management platform, including collection date, collection time, canteen name, and polar component content of edible oil. (2) Data Preprocessing: Clean the extracted data to remove duplicate, erroneous or irrelevant information for subsequent analysis and modeling. 2. Prediction of Canteen Edible Oil Use Safety Risk Data Based on Polar Component Content of Edible Oil: (1) Edible Oil Quality Assessment: Assess the quality of edible oil based on polar component content. If the polar component content ≤ 27PC, it is judged as "Normal Quality"; if the polar component content > 27PC, it is judged as "Low Quality"; (2) Statistical Analysis: Count the cumulative number of edible oil quality assessments and the cumulative number of judgments of "Low Quality" up to the current day this month; calculate the cumulative abnormal rate of edible oil quality assessment up to the current day this month using the formula: (Cumulative number of "Low Quality" judgments ÷ Cumulative number of quality assessments) × 100%; count the cumulative number of consecutive judgments of "Low Quality" in edible oil quality assessments up to the current day this month; (3) Establishment of Canteen Edible Oil Use Safety Risk Prediction Model: The canteen edible oil use safety risk index = Cumulative abnormal rate of edible oil quality assessment up to the current day this month × x + Cumulative number of consecutive "Low Quality" judgments up to the current day this month × y; where x and y are corresponding coefficients, which are trade secrets and thus not detailedly listed.

搜集汇总

数据集介绍

特点

该数据集包含584条记录，每日更新，用于评估食堂用油的安全风险。数据包括采集日期、食堂名称、食用油极性组分含量等字段，通过算法规则预测安全风险指数，支持食品安全管理和决策。