灵嗅餐饮油污智管平台监管数据

针对油烟油污排查、油烟油污企业、在线检测等数据的采集，其中油烟油污排查采集的是企业名称、地址、店招名、营业类型、经营规模、是否城区、企业分类、等级、最近一次排查日期等数据；油烟油污企业采集的是联系人、联系电话、监管人员、净化器安装、隔油池安装、罩面面积、灶眼数、最近一次清洗日期、星际指数等数据；在线检测采集的是设备类型、设备编号、状态等数据。监测企业油烟油污是否超标排放，线下核对商户是否定期清理油烟机及隔油池等相关数据。通过采集，一经营户区域路段油烟清洗频次、二隐患排查信息、三在线物联预警数据，对这三个纬度的数据进行汇总整理清洗，对经营户的油烟指数进行评级；并根据评级指数对经营户采取相应的监管方式，从而改善空气质量，减少群众投诉，提高群众满意度。

This dataset is dedicated to collecting data related to lampblack and oil pollution inspection, lampblack/oil-polluting enterprises, and online monitoring. Specifically, the lampblack and oil pollution inspection module collects enterprise name, address, store sign name, business type, operation scale, urban area flag, enterprise classification, grade, and date of the latest inspection; the lampblack/oil-polluting enterprises module collects contact person, contact phone number, regulatory staff, installation status of fume purifiers, installation status of grease traps, hood area, number of cooking burners, date of the latest cleaning, and star-level index; the online monitoring module collects equipment type, equipment number, and operating status. The dataset is used to monitor whether enterprises discharge lampblack and oil pollution beyond standard limits, and perform offline verification on whether merchants regularly clean their fume purifiers, grease traps and other relevant data. Through data collection, three dimensions of data are summarized, organized and cleaned: 1. The frequency of lampblack cleaning for business operators in their respective regional road sections; 2. Hidden danger inspection information; 3. Online IoT early warning data. Subsequently, the lampblack emission index of business operators is graded, and corresponding supervision measures are adopted based on the grading index, so as to improve air quality, reduce public complaints, and enhance public satisfaction.

搜集汇总

数据集介绍

特点

该数据集包含301条餐饮企业的油烟油污监管数据，每日更新，用于监测油烟排放和评估企业油烟指数，以改善空气质量和提高群众满意度。数据已在浙江省知识产权区块链公共存证平台存证。