A Smart IoT-Aware System For Crisis Scenario Management

In most dangerous events, involving many people in large buildings, rescue workers need to intervene in a timely and targeted manner in order to help most number of people and secure the environments without wasting resources. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to alert rescuers when they exceed some alarm thresholds. A hardware infrastructure driven by a software layer adds flexibility and adaptability to the Complex Event Processing engine and to a rule engine-based reflective middleware that manages and analyzes raw data in conjunction with a knowledge base modeling the application domain

A Smart IoT-Aware System For Crisis Scenario Management

In most dangerous events, involving many people in large buildings, rescue workers need to intervene in a timely and targeted manner in order to help most number of people and secure the environments without wasting resources. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to alert rescuers when they exceed some alarm thresholds. A hardware infrastructure driven by a software layer adds flexibility and adaptability to the Complex Event Processing engine and to a rule engine-based reflective middleware that manages and analyzes raw data in conjunction with a knowledge base modeling the application domain

A model for Reflective Middleware based on fuzzy rule for context-awareness injection in ubiquitous computing environments

The next wave of communication and applications will rely on new services provided by the Internet of Things (IoT) which is becoming an important aspect in human and machines future. IoT services are a key solution for providing smart environments in homes, buildings, and cities. In the era of massive number of connected things and objects with high growth rate, several challenges have raised, such as new modeling techniques, patterns, and paradigms for composing and developing software and services able to deal with changing context and requirements. There are several factors to be considered in the design and implementation of IoT platform. One of the most important and challenging problems is the heterogeneity of different objects. This problem can be addressed by deploying a suitable ’middleware’ which is placed between things and applications as a reliable platform for communication among things with different interfaces, operating systems, and architectures. In this paper, we propose a solution allowing an IoT middleware to conform with reflective programming paradigm to get more flexibility and adaptivity with reference to the external context. The approach is based on a formal model in which fuzzy rules enable the actions that can be activated by the system. We implemented and validated the proposed model on a real IoT middleware in a smart home scenario

A Complex Event Processing (CEP)-based smart aid system for fire and danger management

When hazardous events occurs in buildings or in large environments with different access points and with a large number of users, rescue workers (firefighters, first aid workers, civil protection teams, etc.) need to intervene in a timely manner, where there is a certainty that there are users to help. Typically such events requires to avoid waste of resources in environments where there are no people at the time of the disaster or where the damage is of low magnitude. To guide the rescuers at the points of the building where there are users to help, we modeled and built an Internet of Things-based framework that monitors data and environmental parameters of interest and, if certain thresholds are exceeded, alerts the rescuers through a telephone call to emergency numbers. The hardware infrastructure is driven by a complex flexible and adaptive software layer that behaves depending on a Complex Event Processing engine and a reflective middleware according to the rule based engine that manages data from the sensors and reasoning mechanisms of a knowledge base that models the given domain

A Microservices-based IoT Monitoring System to improve the Safety in Public Buildings

Safety of public buildings’ users is an important issue, especially in buildings frequented by a great number of people. In such places, in case of an emergency, like a fire, rescue workers must intervene in a timely manner, directing their efforts towards places where there are people to be saved. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to support rescuers during emergencies. The microservices paradigm allows a pattern-based specification of system components that are refined and adapted on-the-fly depending on the specific execution context, based on the changing aspects such as, user’s need and requirements, context variables, user’s behavior, sensor data. First results related to the validation of the proposed system mainly concerning non-functional requirements of the implemented system through a proof-of-concept are reported and discussed