Web-of-Objects (WoO)-based context aware emergency fire management systems for the Internet of Things

Area of Science:

• Computer Science
• Internet of Things (IoT)
• Web of Things (WoO)

Background:

• Advancements in IoT and WoT enable smart environments with interconnected real-world objects.
• Web representation of smart objects facilitates innovative applications and services.
• Web of Objects (WoO) focuses on integrating physical objects into web applications.

Purpose of the Study:

• To propose an emergency fire management system within the WoO infrastructure.
• To integrate virtual objects (ViO) derived from physical objects into a semantic ontology model.
• To develop a context-aware decision support tool for fire emergency management.

Main Methods:

• Formation and management of Virtual Objects (ViO) within a semantic ontology.
• Utilizing semantic ontology for information reusability, extensibility, and interoperability.
• Implementing a context-aware system that receives environmental data from distributed sensors.
• Developing a decision support tool based on a repository of past fire incident logs.

Main Results:

• The proposed system effectively integrates real-world objects into a WoO infrastructure.
• Semantic ontology enables ViOs to support orchestration, federation, collaboration, and harmonization.
• The system is context-aware, detecting emergency situations through sensor data.
• A decision support tool is presented for emergency fire management, utilizing historical incident data.

Conclusions:

• The developed WoO-based emergency fire management system enhances smart environments.
• Semantic ontology and virtual objects provide a robust framework for managing interconnected systems.
• The context-aware decision support tool improves emergency response by leveraging historical data.