水务人工智能大模型水质监测训练样本数据集

水务人工智能大模型水质监测数据训练样本数据集涉及的数据来源为聊城润达水业有限公司面向聊城市供水区域内基于供排水一体化综合信息管理系统SCADA子系统采集的水质相关监测数据。具体数据包括25个压力监测点、17个流量监测点和7个水质监测点的压力、流量、水质等历史数据和月度更新的数据。本数据集主要面向水务人工智能大模型提供丰富的水质相关训练语料。

The training sample dataset for water quality monitoring data of the water industry artificial intelligence large model is sourced from water quality-related monitoring data collected by Liaocheng Runda Water Co., Ltd. through the SCADA subsystem of the integrated water supply and drainage comprehensive information management system within the water supply area of Liaocheng City. The specific data includes historical and monthly updated data of pressure, flow, water quality and other indicators from 25 pressure monitoring points, 17 flow monitoring points and 7 water quality monitoring points. This dataset is mainly intended to provide rich water quality-related training corpora for the water industry artificial intelligence large model.

搜集汇总

背景与挑战

背景概述

水务人工智能大模型水质监测训练样本数据集包含聊城市供水区域内的水质、压力和流量监测数据，数据来源于SCADA子系统，适用于人工智能大模型的训练，数据格式为csv/sqlserver，每月更新一次。