Detección de fallas en tiempo real por medio de la integración de sensores de información en BIM

Gelin  Su; Karen  Kensek

doi:10.3989/ic.85699

Authors

Gelin Su Graduated Student Master of Building Science, University of Southern California https://orcid.org/0000-0003-4770-6599
Karen Kensek Professor of Practice in Architecture, University of Southern California https://orcid.org/0000-0003-0937-9814

DOI:

https://doi.org/10.3989/ic.85699

Keywords:

Building Information Modeling, BIM, IoT Sensors, Fault detection, Facilities management and operation, Revit API

Abstract

Real-time sensor data in a building information model (BIM) can help facilities managers with daily monitoring and fault detection. A prototype BIM-based visualization tool Adafruit IO Reader (AIOR) was developed to interface real-time, inexpensive Internet of Things (IoT) sensor data feeds in Autodesk Revit. Data feeds were retrieved from the Adafruit IO server, saved as text files, and displayed both in tables and line graphs. Users are visually navigated to corresponding sensors in Revit. A fault detection algorithm based on comfort levels set by ASHRAE 55-2017 locates sensors with abnormal values and highlights them with alerting colors in 3d views. The key contributions with this prototype tool is that sensor data could be displayed in a BIM-based software program; data were compared against ASHRAE 55 comfort standards; and alerts were shown in Revit when they were missing or out-of-range.

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