Design framework for reliable and environment aware management of smart environment devices

Abstract

A smart environment is equipped with numerous devices (i.e., sensors, actuators) that are possibly distributed over different locations (e.g., rooms of a smart building). These devices are automatically controlled to achieve different objectives related, for instance, to comfort, security and energy savings. Controlling smart environment devices is not an easy task. This is due to: the heterogeneity of devices, the inconsistencies that can result from communication errors or devices failure, and the conflicting decisions including those caused by environment dependencies. This paper proposes a design framework for the reliable and environment aware management of smart environment devices. The framework is based on the combination of the rule based middleware LINC and the automata based language Heptagon/BZR (H/BZR). It consists of: an abstraction layer for the heterogeneity of devices, a transactional execution mechanism to avoid inconsistencies and a controller that, based on a generic model of the environment, makes appropriate decisions and avoids conflicts. A case study with concrete devices, in the field of building automation, is presented to illustrate the framework.

Promoting Regional Economic Transformation Forecast Based on Intelligent Computing Technology

“…e smart environment is essentially a structured semantic network, stored in the form of graphs. e technical fields related to the smart environment are very extensive [21,22]. Here, the environment-based computers, technologies related to wireless sensors, and activity recognition technologies are analyzed.…”

Smart and safe self‐adaption of connected devices based on discrete controllers

“…Recent work [25, 26] focused on the use of DCS in conjunction with MAPE‐K loops in a home automation context. In this work, MAPE‐K loops are used to manage smart‐buildings and are used in conjunction with a dedicated middleware that provides abstraction and interoperability.…”

Modular and Hierarchical Discrete Control for Applications and Middleware Deployment in IoT and Smart Buildings

“…We similarly define models for lamps (and their luminosity), Mechanical Ventilation (MV) (affecting CO 2 ), windows (affecting heating, cooling, ventilation, pollution and noise), doors (affecting noise). These models are detailed in [15].…”

“…We similarly define models for tasks (that can be activated), objects (that can be migrated), rules (that can be deactivated). These models are presented in details in [15].…”