mbampi/aal-system

Ontology-Based Health Monitoring System for Ambient Assisted Living

AAL System

Ontology-Based Health Monitoring System For Ambient Assisted Living

Description

The goal of this system is to be a semantic connector between Smart Home IoT data and a Health ontology. Enabling SPARQL queries to be smartly performed with the reasoning engine, providing information for a better AAL management.

AAL Ontology

System Architecture

Web UI

Repository Structure

• backend
• frontend
• fuseki

System capabilities:

• Connects to Home Assistant (Smart Home)
• Request entities state from Home Assistant
• Connects to Apache Jena Fuseki (SPARQL Server)
• Queries SPARQL Server
• Dockerize Apache Jena Fuseki Server
• Add Openllet Reasoner to Apache Jena Fuseki Server
• Add SWRL Rules to Apache Jena Fuseki Server
• Websocket connection to Home Assistant
• Load initial state from all sensors
• Add observation to Fuseki via SPARQL Query when state changes
• Query triggers activated by the SWRL rules reasoning
• Serve websocket API to allow client connection
• Serve findings via websocket API
• Serve observations via websocket API
• Web UI to display the findings
• Web UI to display the observations
• Insert SWRL rules in Fuseki via REST API
• Dockerize AAL System
• Build a docker compose to run the AAL System

Using

Pre-requisites to Development

• Docker
• docker-compose
• Go
• Home Assistant
  • Should be running (usually in a Raspberry Pi) in the same network as this machine
  • Should have the RESTful API enabled
• Node.js

Environment variables

HASSIO_TOKEN=<your home assistant token>

GF_SECURITY_ADMIN_PASSWORD=<your grafana admin password>

Build

docker-compose build

Run

docker-compose up

Delete

docker-compose down