A product-service architecture to design assistive smart homes.

• Autor(a) principal: Correa, Yaney Gomez
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
• Texto Completo: https://www.teses.usp.br/teses/disponiveis/3/3152/tde-06012023-093311/
• topic: Arquitetura de serviço; Automação residencial; Casa conectada; Engenharia de requisitos orientada a objetivos; Goal-oriented requirements engineering; Healthcare; Home automation; Saúde (Sistemas); Service architecture; Smart home

The world of home automation and the smart home is changing. Population aging, chronic diseases increase and the cost of health services increases meaning that houses are considered a possible alternative to replacing (at least partially) hospitals and health institutions. Smart homes offer facilities and features that improve the quality of life for patients, the elderly, and people who need health assistance. Today, the technological solutions available are no longer just synonymous with comfort and safety, expanding the scope to include solutions for health systems. Smart home technology is an emerging field of automation that integrates different areas, including electrical, mechanical, and hydraulic automation subsystems and sensors associated with sophisticated monitoring and control. Recently, these systems have also received missions to assist specific users, such as the elderly or patients who need intensive care, introducing the direction to Service Engineering. This challenge puts enormous pressure on the development of engineering requirements that correspond to the automation goals raised by telemedicine, treating these smart homes as a System of Systems (SoS) with a global goal (social goal) that combines comfort, safety, and flexibility with healthcare, protection, and telemedicine. The proposal presented is based on a multilayer1 approach where all the services involved can be modeled and matched, respecting the limits of their specifications, in a single system that achieves the proposed objective. Intelligent systems in these layers justify the use of Artificial Intelligence (AI) planning, in which automated processes achieve the objectives of each service. This substantially changes home automation projects, which should be designed to be reused, and creates a link with health and telemedicine. The work focus is on goal-oriented requirements modeling (Goal Oriented Requirements Engineering) which specifies processes subsequently transferred to Petri nets.