污水处理厂进出水水质数据集

本数据集聚焦污水处理厂进出水水质监测与处理效能评估，覆盖城镇污水厂、工业废水处理厂、园区集中式污水厂等类型及A²O、氧化沟、MBR等主流工艺。数据内容包括污水厂信息、运行参数、进出水水质指标、去除效率、达标状态及异常事件等维度。适用于工艺效能评估、出水达标预警、药剂投加优化、碳源智能控制、提标改造分析及污水处理AI模型训练等场景。

This dataset focuses on water quality monitoring of influent and effluent from wastewater treatment plants (WWTPs) and treatment efficiency evaluation. It covers various types of WWTPs including municipal WWTPs, industrial wastewater treatment plants, and centralized WWTPs in industrial parks, as well as mainstream wastewater treatment processes such as A²O, oxidation ditch, and MBR. The dataset content covers multiple dimensions: basic information of WWTPs, operating parameters, influent and effluent water quality indicators, removal efficiency, compliance status, and abnormal events. It is applicable to scenarios such as process efficiency evaluation, effluent compliance early warning, chemical dosage optimization, intelligent carbon source control, upgrading and reconstruction analysis, and training of AI models for wastewater treatment.

搜集汇总

背景与挑战

背景概述

该数据集聚焦污水处理厂的进出水水质监测与处理效能评估，覆盖多种污水厂类型和主流工艺，包含污水厂信息、运行参数、水质指标及去除效率等多维度数据。适用于工艺效能评估、出水达标预警、优化控制及AI模型训练等应用场景。