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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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Un novedoso sistema experto inteligente para explorar datos de calidad del agua

Gabriel Vald1,2, Yusuf Sermet1,3,4, Jerry Mount1

  • 1IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.

Water science and technology : a journal of the International Association on Water Pollution Research
|March 1, 2026
PubMed
Resumen

Un nuevo sistema, Artificial Intelligence Data Expert (AI-DE), utiliza lenguaje natural para analizar datos de calidad del agua. Esta herramienta AI-DE hace que los datos ambientales complejos sean accesibles para una mejor toma de decisiones.

Palabras clave:
inteligencia artificialmodelos de lenguaje grandesprocesamiento del lenguaje naturalred de sensoresdatos de series temporalescalidad del agua

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Área de la Ciencia:

  • Ciencias Ambientales
  • Inteligencia Artificial
  • Ciencia de Datos

Sus antecedentes:

  • El monitoreo ambiental genera grandes cantidades de datos, pero la interpretación sigue siendo un desafío.
  • Es crucial cerrar la brecha entre los datos brutos y los conocimientos prácticos para la gestión ambiental.

Objetivo del estudio:

  • Presentar el Artificial Intelligence Data Expert (AI-DE), un sistema para el análisis basado en lenguaje natural de datos de series temporales de calidad del agua.
  • Permitir la interpretación de datos bajo demanda y facilitar la participación del usuario en la información de monitoreo ambiental.

Principales métodos:

  • El sistema AI-DE utiliza características de ChatGPT como el reconocimiento de entidades nombradas, la geocodificación y el análisis de sentimientos.
  • Incorpora controles de chat para la interacción personalizada del usuario y un modo de interpretación de datos para un análisis en profundidad.
  • Una función de omisión de chat permite la sincronización perfecta de datos con los sistemas de información existentes.

Principales resultados:

  • El sistema AI-DE proporciona consultas e interpretación inmediatas y ad hoc de datos ambientales.
  • Traduce con éxito datos complejos de calidad del agua en información comprensible para diversos grupos de usuarios.
  • Se observó una mayor participación del usuario en los datos ambientales.

Conclusiones:

  • El sistema AI-DE mejora significativamente el acceso a datos ambientales complejos a través de la IA conversacional.
  • Apoya la toma de decisiones y acciones informadas para una gestión ambiental eficaz.
  • Esto representa un avance significativo en la utilización de la IA para la accesibilidad de datos ambientales.