Alapfogalmak
Semantic modeling techniques offer a standardized approach to representing and integrating building data, enabling the development of scalable and context-aware applications for optimizing building energy performance.
Kivonat
This survey paper provides a comprehensive analysis of the key semantic modeling techniques and ontologies relevant to building energy management (BEM). It covers the following:
The need for semantic modeling in building operations:
The increasing digitization of building data and the challenges of data interoperability.
The potential of semantic web technologies to enable seamless integration of heterogeneous building data.
Overview of core semantic modeling ontologies for BEM:
Building Topology Ontology (BOT): Modeling building structures, spaces, and their relationships.
SAREF and its extensions (SAREF4BLDG, SAREF4ENER): Representing IoT devices, their functions, and energy management concepts.
Semantic Sensor Network (SSN) and Sensor, Observation, Sample, and Actuator (SOSA): Modeling sensors, actuators, and their observations.
Brick Schema: Standardizing the representation of building entities, their tags, and relationships.
Other ontologies like RealEstateCore, ThinkHome, EFOnt, DogOnt, etc., covering specific aspects of smart buildings and energy flexibility.
Examples of semantic modeling applications in BEM:
Leveraging ontologies for context-aware building applications, such as predictive maintenance, fault detection, and building control strategies.
Integrating data from various sources (e.g., BIM, sensor data, simulation data) using semantic modeling.
Limitations of existing ontologies and opportunities for future research:
Challenges in achieving modularity, extensibility, and adaptability of ontologies to specific use cases.
The need for more comprehensive ontologies that can holistically represent the building operational phase.
The survey aims to provide researchers and practitioners with a thorough understanding of the state-of-the-art in semantic modeling for BEM, highlighting best practices, limitations, and future research directions.
Statisztikák
"Buildings account for approximately 40% of the final energy use and 36% of the total CO2 emissions in the European Union."
"The advent of voluminous data from building systems and environment has given rise to strategies aimed at improving building performance, leveraging advancements in Information and Communication Technologies (ICT) topics, such as the Internet of Things (IoT), Cyber Physical Systems (CPS), Artificial Intelligence (AI), Context-Aware Systems, and Semantic Web Technologies (SWT)."
Idézetek
"Semantic modeling encompasses the representation of both physical and abstract concepts within the context of building operations. Physical concepts pertain to the tangible assets present in the building environment, while abstract concepts encompass ideas, principles, and processes utilized to inform the operational building state."
"Semantic modeling technologies, manifested as ontologies in the context of the building operation phase, will be examined in detail within Section 4.1. This examination will encompass a comprehensive exploration of the concepts embedded in these ontologies and an in-depth analysis of their constraints."