水务仪表数据预测监控助手

本数据集的核心部分为“dc1-9月数据集“，其包含了水处理厂采集的详细运行参数，记录了从进水流量、加药系统（如矾液投加量、中和池水温）到核心工艺单元超滤膜车间各膜池的跨膜压差等一系列关键指标，其中跨膜压差是衡量膜污染程度、指导清洗维护的关键生命线指标；“优化运行参考数据 “or_data.Merge”数据集则为小时级别的聚合数据，包括进水流量、水温、平均跨膜压差以及加药的目标设定值与历史值，这些数据主要为高级控制策略或优化模型提供输入，以达成更精准的药剂投加和运行优化。“机组详细流量数据 SS6info”以约10分钟为间隔，详细记录了多个机组的流量及总和，有助于分析各机组的运行效率、负载均衡状况并识别潜在设备问The core component of this dataset is the "dc1-September dataset", which contains detailed operating parameters collected from the water treatment plant. It records a series of key indicators ranging from influent flow rate, dosing systems (such as alum dosage, water temperature of the neutralization tank) to transmembrane pressure (TMP) of each membrane tank in the ultrafiltration (UF) workshop of the core process unit. Among these, TMP is a critical lifeline indicator for measuring membrane fouling degree and guiding cleaning and maintenance. The "or_data.Merge" dataset, namely the Optimized Operation Reference Data, consists of hourly aggregated data, including influent flow rate, water temperature, average transmembrane pressure, as well as target setpoints and historical values of dosing. This data mainly serves as input for advanced control strategies or optimization models to achieve more accurate chemical dosing and operation optimization. The "SS6info" dataset, namely Detailed Unit Flow Data, records the flow rates and total flow of multiple units at approximately 10-minute intervals. This data helps analyze the operating efficiency, load balancing status of each unit, and identify potential equipment issues.

搜集汇总

背景与挑战

背景概述

该数据集包含水处理厂运行参数、优化参考数据和机组流量监测三部分：核心数据记录超滤膜车间等关键工艺指标；优化数据提供小时级聚合参数用于控制策略；机组数据以10分钟间隔监测流量效率。