Monitoring large-area glass elements (e.g., window panes and facade panels) benefits from distributed sensing and reproducible post-processing workflows. This paper presents a prototype platform that integrates ESP32-based sensor nodes, an HTTP ingestion service, a time series database, and a web application for interactive exploration of heterogeneous measurements collected on a spatial sensor grid. The system supports time-stamped ingestion of mixed sensor modalities with different sampling periods, including both slow environmental variables (e.g., temperature, humidity, illuminance) and faster structural-response signals (e.g., strain, displacement, acceleration-derived metrics). The user interface provides synchronized time series views, spatial heatmaps, time-window selection, configurable filtering, and dataset export with processing provenance. The platform is validated using simulated signals and demonstrated on glass dynamic property measurements acquired from a grid-mounted sensor setup.

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A Web Platform for Multi-Sensor Monitoring and Analysis of Large-Area Glass Surfaces

  • Peter Šarafín,
  • Michal Hodoň,
  • Lukáš Formanek,
  • Matúš Formanek

摘要

Monitoring large-area glass elements (e.g., window panes and facade panels) benefits from distributed sensing and reproducible post-processing workflows. This paper presents a prototype platform that integrates ESP32-based sensor nodes, an HTTP ingestion service, a time series database, and a web application for interactive exploration of heterogeneous measurements collected on a spatial sensor grid. The system supports time-stamped ingestion of mixed sensor modalities with different sampling periods, including both slow environmental variables (e.g., temperature, humidity, illuminance) and faster structural-response signals (e.g., strain, displacement, acceleration-derived metrics). The user interface provides synchronized time series views, spatial heatmaps, time-window selection, configurable filtering, and dataset export with processing provenance. The platform is validated using simulated signals and demonstrated on glass dynamic property measurements acquired from a grid-mounted sensor setup.