دانلود رایگان مقاله مدل داده تسهیلات مبتنی بر هستی شناسی برای مدیریت انرژی

Abstract

Context: Definition of a comprehensive facility data model is a prerequisite for providing more advanced energy management systems capable of tackling the underlying heterogeneity of complex infrastructures, thus providing more flexible data interpretation and event management, advanced communication and control system capabilities. Objective: This paper proposes one of the possible implementations of a facility data model utilizing the concept of ontology as part of the contemporary Semantic Web paradigm. Method: The proposed facility ontology model was defined and developed to model all the static knowledge (such as technical vendor data, proprietary data types, and communication protocols) related to the significant energy consumers of the target infrastructure. Furthermore, this paper describes the overall methodology and how the common semantics offered by the ontology were utilized to improve the interoperability and energy management of complex infrastructures. Initially, a core facility ontology, which represents the generic facility model providing the general concepts behind the modelling, was defined. Results: In order to develop a full-blown model of the specific facility infrastructure, Malpensa and Fiumicino airports in Italy were taken as a test-bed platform in order to develop the airport ontology owing to the variety of the technical systems installed at the site. For the development of the airport ontology, the core facility ontology was first extended and then populated to reflect the actual state of the target airport facility. Conclusion: The developed ontology was tested in the environment of the two pilots, and the proposed solution proved to be a valuable link between separate ICT systems involving equipment from various vendors, both on syntax and semantic level, thus offering the facility managers the ability to retrieve high-level information regarding the performance of significant energy consumers.

6. Conclusion Contemporary facility management systems are aiming to deliver better insight in facility operation accompanied by more flexible data interpretation and event management capabilities. However, at the same time, these systems also suffer from increased heterogeneity resulting from employment of various supervision and control systems/devices coming from different vendors. Due to the various, and often proprietary, communication protocols used by these systems, their integration into a common management platform represents a challenging, yet necessary task to solve. This paper proposes a novel methodology as well as an integration solution that offers to bridge the communication gap existing among the aforementioned systems, and provides unlimited sharing of knowledge that is crucial for acquiring high-level energy management decisions underpinned by ISO 50001 energy management standard. The proposed solution is based on a common metadata layer holding a comprehensive facility data model which was implemented using the ontology modelling approach. More precisely, the facility ontology data model was developed by modelling all the static knowledge relevant to the energy related infrastructures operating at a particular facility. In other words, it was defined to accommodate all relevant devices, their technical characteristics, vendor specific data, but also spatial and topological interrelationships, providing a holistic and integrated view of the domain entities and their relationships relevant for the energy efficiency considerations. Furthermore, it enables both data-driven and knowledge-driven analyses, since the ontology contains a plethora of different spatial, topological, structural, functional and other semantic information that cannot be expressed in a conventional data model. In that way, the ontology gives a desired impression of the homogeneous system, solving the challenging task of integration and interoperability of heterogeneous underlying subsystems and alleviates the overhead that is usually encountered in other interoperability solutions.