水厂月度水质微生物指标分析数据

通过采集水厂内部化验室月度水质微生物指标分析数据，对原水的粪便污染真实情况、粪便污染严重等级以及污染的新鲜程度进行判断分析，帮助水厂对消毒工艺进行精准调控，并快速溯源污染源，还能够帮助水厂技术发布微生物风险动态预警，同时，用水者能够根据月度水质微生物指标分析数据判断水质情况，从而针对水质情况自行选择用水方式，以满足自身的生产或日常用水需求。水厂内部化验室月度水质微生物指标分析数据算法规则包括以下步骤：1、数据采集：采集企业内部水厂化验室当月每天的原水微生物指标数据，即当月每天的原水菌落总数、总大肠菌群、耐热大肠菌群和大肠埃希氏菌；2、数据处理：在采集到的数据中对粪便污染强度指数 (FPI) 进行计算，计算公式为FPI = log₁₀(大肠埃希氏菌数 + 1) × (耐热大肠菌群数 / 总大肠菌群数)；3、数据统计：以当月每天的粪便污染强度指数 (FPI) 情况，统计分析该月原水污染情况，4、数据应用：根据月度的水质微生物指标分析数据，对原水的粪便污染真实情况、粪便污染严重等级以及污染的新鲜程度进行判断分析，帮助水厂对消毒工艺进行精准调控，并快速溯源污染源，同时能够帮助水厂技术发布微生物风险动态预警，进而帮助用水者对所用水进行有效处理

This dataset is constructed by collecting monthly analytical data of water quality microbial indicators from the internal laboratories of water treatment plants. It enables the judgment and analysis of the actual fecal pollution status, severity level, and pollution freshness of raw water, helping water treatment plants precisely regulate disinfection processes, quickly trace pollution sources, and release dynamic early warnings of microbial risks through technical means. Meanwhile, water users can assess water quality based on the monthly microbial indicator analysis data, and select appropriate water usage methods on their own to meet their production or daily water demand.

The algorithm rules for processing the monthly water quality microbial indicator analysis data from the internal laboratories of water treatment plants include the following steps:
1. Data Collection: Collect daily raw water microbial indicator data from the water plant's internal laboratory in the current month, specifically the daily total bacterial count, total coliforms, thermotolerant coliforms, and Escherichia coli (E. coli) of the raw water in that month.
2. Data Processing: Calculate the Fecal Pollution Intensity Index (FPI) from the collected data, with the calculation formula: FPI = log₁₀(E. coli count + 1) × (thermotolerant coliform count / total coliform count).
3. Data Statistics: Conduct statistical analysis of the raw water pollution status of the current month based on the daily Fecal Pollution Intensity Index (FPI) data.
4. Data Application: Judge and analyze the actual fecal pollution status, severity level, and pollution freshness of raw water based on the monthly water quality microbial indicator analysis data, to help water treatment plants precisely regulate disinfection processes, quickly trace pollution sources, release dynamic early warnings of microbial risks, and further enable water users to effectively treat the water they utilize.

搜集汇总

背景与挑战

背景概述

该数据集包含水厂月度水质微生物指标分析数据，涵盖日期、天气、气温以及菌落总数、总大肠菌群等微生物指标和粪便污染强度指数，共581条记录，用于分析原水粪便污染情况、辅助消毒工艺调控和风险预警。数据通过特定算法计算FPI指数，支持水厂精准管理和用水者水质判断，更新频次为按需更新。