Real-time monitoring of high-level states in smart environments

Article type: Research Article

Authors: Corno, Fulvio^; | Razzak, Faisal

Affiliations: Dipartimento di Automatica ed Informatica, Politecnico di Torino, Turin, Italy. E-mails: fulvio.corno@polito.it, raja.faisal@gmail.com

Note: [] Corresponding author.

Abstract: Modern smart environments are equipped with a multitude of devices and sensors aimed at intelligent services. The presence of these diverse devices has raised a major problem of managing complex environments. A rising solution to the problem is the modeling of user goals and intentions, and then interacting with the respective smart environments using user defined goals. Generally, the solution advocates that the user goal(s) can be represented by combining devices (smart appliances and sensor/actuators) in particular states. ‘Domotic Effects’ is a high level modeling approach, which provides Ambient Intelligence (AmI) designers and integrators with a high level abstract layer that enables the definition of user goals in a smart environment, in a declarative way, which can be used to design and develop intelligent applications. This paper describes an approach for the automatic evaluation of domotic effects combined through Boolean expressions, that can provide efficient and intelligent monitoring of the domotic structure of the environment. “Effects Evaluation” addresses the problem of finding the new values of all the domotic effects defined for the environment when one or more devices change their state or one or more sensor value is recorded in the environment, hence determining a new overall state of the environment. The paper also presents an architecture to implement the evaluation of domotic effects. Results obtained from carried out experiments prove the feasibility of the approach and highlight responsiveness of the implemented effect evaluation.

Keywords: Ambient Intelligence, Domotic Effects, Domotic Effect Evaluation, higher level modeling, monitoring smart environments

DOI: 10.3233/AIS-150310

Journal: Journal of Ambient Intelligence and Smart Environments, vol. 7, no. 2, pp. 133-153, 2015