Application of Advanced MBSE and System Automation to Improve Home Security System Solutions

Abstract

This research emphasizes the usefulness of advancements in Model Based Systems Engineering (MBSE) and system automation to enhance the system selection process for a diverse range of stakeholders. The study of this paper, while applicable to any domain, focused specifically on home security systems. As the home security market expands with increasingly complex and varied technological solutions, users often struggle to select a system that precisely meets their needs without being overwhelmed by technical specifications. This paper presents a novel methodology that addresses this challenge by combining the rigorous frameworks of advanced MBSE, requirements modeling, and the capabilities of AI-driven automation. The research details the application of this method to translate user-expressed needs and wants into clearly defined, verifiable requirements. These requirements, which serve as a blueprint of stakeholder desires, are organized into a series of models. This process, using SysML models, automatically generates a curated selection of home security systems tailored to each user. The methodology leverages a Model-Based Architectural Pattern (MBAP) approach to create a Model-Based Pattern Library (MBPL). This library serves as a storage of predefined security system models that encapsulate best practices and standard solutions for common configurations, such as intrusion detection and video surveillance. The process begins with a user assessment to identify needs and wants, followed by requirements and modeling. This information is then used to create a decomposition of the system, breaking down necessary details and components. This systematic decomposition ensures a thorough and detailed analysis of the system's needs. The findings confirm that the integration of stakeholder engagement, requirements writing, and architectural patterns provides a powerful framework for system development. This approach facilitates rapid system customization, improves design quality, and ensures alignment with industry standards. The research successfully modifies the conventional system development lifecycle, proving the utility of a model-based, automated approach in a real-world application. The results highlight a new paradigm for systems engineering, demonstrating how the synergy of MBSE and automation can lead to improved outcomes for both users and developers.

Keywords: Model Based System Engineering, Artificial Intelligence, Automation, Model Based Pattern Library, Architectural Patterns, Home Security System

DOI: 10.54941/ahfe1006942