A novel intelligent expert system for exploring water quality data.

IF 2.8 4区环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL

Water Science and Technology Pub Date : 2026-02-01 Epub Date: 2026-01-20 DOI:10.2166/wst.2026.199

Gabriel Vald, Yusuf Sermet, Jerry Mount, Samrat Shrestha, Dinesh Jackson Samuel, David Cwiertny, Ibrahim Demir

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引用次数: 0

Abstract

Despite advancements in environmental monitoring, the gap between data collection and user-friendly data interpretation remains. This paper introduces the Artificial Intelligence Data Expert (AI-DE), a novel data analytics system designed to facilitate on-demand analysis of time-series monitoring data for water quality using natural language queries. The AI-DE leverages features of ChatGPT, including named entity recognition, geocoding, and sentiment analysis, enabling natural language-based data analysis. This system allows for immediate, ad-hoc querying and interpretation of environmental data, tailored to the needs of diverse user groups. Key features include chat controls that customize user interaction, a chat bypass enabling data synchronization with an information system, and a data interpretation mode for detailed analysis. The AI-DE enhances user engagement with an understanding of water quality data, aiming to support informed decisions and actions for environmental management. The AI-DE represents a step forward in increasing access to complex environmental data through conversational AI technologies.

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一种新型的水质数据挖掘智能专家系统。

尽管在环境监测方面取得了进展，但数据收集和用户友好的数据解释之间的差距仍然存在。本文介绍了人工智能数据专家（AI-DE），这是一种新颖的数据分析系统，旨在使用自然语言查询促进对水质时间序列监测数据的按需分析。AI-DE利用ChatGPT的功能，包括命名实体识别、地理编码和情感分析，实现基于自然语言的数据分析。该系统可根据不同用户群体的需要，对环境数据进行即时、特别的查询和解释。主要特性包括自定义用户交互的聊天控件、支持与信息系统进行数据同步的聊天绕过以及用于详细分析的数据解释模式。AI-DE通过对水质数据的理解提高用户参与度，旨在支持环境管理方面的知情决策和行动。AI- de代表了通过对话AI技术增加对复杂环境数据访问的一步。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Water Science and Technology 环境科学-工程：环境

CiteScore

4.90

自引率

3.70%

发文量

366

审稿时长

4.4 months

期刊介绍： Water Science and Technology publishes peer-reviewed papers on all aspects of the science and technology of water and wastewater. Papers are selected by a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, development and application of new techniques, and related managerial and policy issues. Scientists, engineers, consultants, managers and policy-makers will find this journal essential as a permanent record of progress of research activities and their practical applications.