IL3.1A - Automatic EDA System for Heat Pump Data

A functional automated Exploratory Data Analysis system for Bosch heat-pump manufacturing data. It integrates AutoML, local LLM-based metadata enrichment, an ML Readiness metric and FAIR data-maturity reporting, and was tested with real Nexeed MES datasets from Bosch.

  • Main Gain(s): Automated exploratory analysis, Improved FAIR data maturity, ML readiness assessment, Persistent reporting for industrial datasets

  • Use Case(s): Real Nexeed MES datasets from Bosch Termotecnologia heat-pump production processes

  • Start TRL: TRL 3

  • Final TRL: TRL 6

  • Main Contributions: Universidade de Aveiro (coord. Prof. Eugénio Rocha; support Diogo Costa) with Bosch Termotecnologia, S.A. (coord. Eng. Nelson Ferreira)

Main Features

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      Product Capabilities
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  • Automated exploratory and descriptive-statistics reports for high-volume batch data
  • Local Large Language Models for dataset descriptions and metadata enrichment
  • AutoML functionality to assess predictive potential in industrial datasets
  • ML Readiness metric for objective data-science readiness assessment
  • Dataverse-based FAIR framework with persistent reporting
  • Integration into the Project 3 Control Tower