BIM-IoT Assistant is a chatbot that integrates Building Information Modeling (BIM) data with Internet of Things (IoT) sensor data to provide intelligent responses to queries about buildings and their sensor readings. The system uses a knowledge graph (GraphDB) to store building information and time-series database (InfluxDB) to store sensor data.
- competency-questions/: Contains a PDF with questions the system should be able to answer
- databases/: Configuration files for GraphDB and InfluxDB connections
- dataset/: Contains the data files for the smart home example
- prompts/: Contains prompt templates for the LLM to generate SPARQL queries
- tools/: Contains tools for retrieving data from GraphDB and InfluxDB
- Python 3.8+
- GraphDB instance running locally or remotely
- InfluxDB instance running locally or remotely
- Anthropic API key for Claude LLM
- Clone this repository
- Install the required dependencies:
pip install -r requirements.txt - Configure the databases:
- Set up GraphDB with the smart home dataset
- Set up InfluxDB with the sensor data
- Update the connection details in
databases/graphdb_config.pyanddatabases/influx.py
- Configure the LLM:
- Get an API key from Anthropic
- Update the API key and model name in
llm.py
You can run the prototype by executing the following command in the terminal:
streamlit run bot.py
This will start a Streamlit web application where you can interact with the BIM-IoT Assistant. You can ask questions about the building structure, elements, sensors, and their readings.
Example queries:
- "List the rooms located on the first floor"
- "Information about a room"
- "Which is the lowest temperature registered in the kitchen?"
- Daniele Parumboiu
- Massimo Callisto De Donato
- Emanuele Laurenzi
- University of Camerino (UNICAM)
- University of Applied Sciences and Arts Northwestern Switzerland (FHNW)
This project is licensed under the BSD-3-Clause License - see the LICENSE file for details.