遇见数据集

水厂月度进出水浊度分析数据

收藏
浙江省数据知识产权登记平台2025-08-29 更新2025-09-06 收录
官方服务:

资源简介:

通过采集水厂内部月度进出水浊度数据,对处理工艺(如混凝剂投加量、混合效果、沉淀时间、滤池运行状态)可能存在问题、滤池运行的情况进行分析,帮助企业及时进行调整,同时能够对原水水质(如浊度剧增、水质成分变化)的变化进行监控分析,为用水者提供用水参考水厂月度进出水浊度分析数据算法规则包括以下步骤:1、数据采集:采集企业内部水厂每月的进水、出水浊度数据,即当月每天的原水浊度、出厂水浊度;2、数据处理:在采集到的数据中对浊度去除率(%)进行计算,计算公式为浊度去除率(%)=【(原水浊度(NTU)平均值-出厂水浊度平均值)/原水浊度(NTU)平均值】*100%;3、数据统计:以当月每天的浊度去除率情况,统计分析该月进出水的处理情况,4、数据应用:根据月度的进出水浊度分析数据,对处理工艺(如混凝剂投加量、混合效果、沉淀时间、滤池运行状态)可能存在问题、滤池运行的情况进行分析,帮助企业及时进行调整,同时能够对原水水质(如浊度剧增、水质成分变化)的变化进行监控分析,为用水者提供用水参考。

This dataset collects monthly influent and effluent turbidity data from water treatment plants to support analysis of potential issues in treatment processes (e.g., coagulant dosage, mixing efficiency, sedimentation time, filter operation status) and filter performance, enabling enterprises to make timely adjustments. It also facilitates monitoring and analysis of raw water quality changes such as sudden turbidity spikes and shifts in water quality composition, providing reference for water users. The algorithm rules for the water plant monthly influent and effluent turbidity analysis dataset are as follows: 1. Data Collection: Collect the daily raw water turbidity and finished water turbidity data of each month from the internal water plant of the enterprise. 2. Data Processing: Calculate the turbidity removal rate (%) from the collected data, using the formula: Turbidity Removal Rate (%) = [(Average Raw Water Turbidity (NTU) - Average Finished Water Turbidity) / Average Raw Water Turbidity (NTU)] × 100%. 3. Data Statistics: Conduct statistical analysis of the monthly treatment performance based on the daily turbidity removal rates of the month. 4. Data Application: Leverage the monthly influent and effluent turbidity analysis data to analyze potential issues in treatment processes (e.g., coagulant dosage, mixing efficiency, sedimentation time, filter operation status) and filter performance, enabling timely adjustments by enterprises. Additionally, it supports monitoring and analysis of raw water quality changes such as sudden turbidity spikes and shifts in water quality composition, providing reference for water users.

创建时间:
2025-06-18
搜集汇总
数据集介绍
水厂月度进出水浊度分析数据 数据集图片
背景与挑战
背景概述
该数据集记录了水厂月度进出水浊度数据,包括原水和出厂水的浊度平均值、最大值、最小值以及去除率,共581条记录,用于分析水处理工艺效果和监控原水水质变化,支持企业调整运营和提供用水参考。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务