A Comprehensive Framework for Fire Evacuation Modelling

Strategic planning for the evacuation of occupants from buildings becomes crucial during disaster response operations, especially in the context of fire emergencies that pose a direct threat to human lives. This study addresses the specific challenges associated with fire evacuation in smart buildings within the Internet of Things environment. Despite their enhanced connectivity and accessibility, these buildings are still vulnerable to crises; therefore, efficient and swift occupant evacuation planning is necessary. Developing a successful evacuation plan for these situations calls for in-depth knowledge of smart building characteristics, evacuation factors, and skilful modelling. In order to overcome this problem, the research proposed a metamodel approach that serves as a modelling grammar and syntax for systematic design. The metamodel is constructed based on common evacuation model terminology and fire emergency variables. Through the use of a graphical editor and model transformation, the metamodel undergoes validation using a model-checking technique. In abstract modelling, this validation technique provides crucial insights into the accuracy and completeness of the metamodel in enhancing the resilience of smart building evacuation systems

System Entity Structure and Model Base Framework in Model Based Engineering of Simulations for Technical Systems

Model-based engineering is defined as the pragmatic utilization of model-based practices, namely, modeling, metamodeling and model transformations in various steps of engineering. In the last decade, the simulation of technical systems has leveraged graphical modeling and model-to-text transformations, but metamodeling and model transformation practices have not become widely accessible. Thereby, the benefits of employed model-driven approaches have been limited. System Entity Structures are directed labelled graphs that were proposed in the 1980s for specifying a family of system configurations for modular and hierarchical systems. The System Entity Structure and Model Base (SES/MB) framework combines the SES ontology with the classical workflow of modeling for an interactive or automatic generation of executable simulation models. After reviewing comparable approaches in software engineering, this paper discusses the application of SES/MB framework for metamodeling and model transformations for model-based engineering of simulations of technical systems