5 research outputs found

    Power-managed smart lighting using a semantic interoperability architecture

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    Power-managed smart lighting using a semantic interoperability architecture

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    Abstract-This paper presents a power-managed smart lighting system that allows collaboration of lighting consumer electronics (CE) devices and corresponding system architectures provided by different CE suppliers. In the example scenario, the rooms of a building are categorized as low and high priority, each category utilizing a different system architecture. The rooms collaborate through a semantic interoperability platform. The overall smart lighting system conforms to a power quota regime and maintains a target power consumption level by automatically adjusting lights in the building

    Smart lighting in multipurpose outdoor environments: energy efficient solution using network of cooperating objects

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    The first applications for smart environments targeted wellscoped spaces and appliances. These applications were strong drivers to advance Wireless Sensor Networks (WSN) and the Internet of Things (IoT). With the evolution of the technological base, more complex environments became the new targets. The concept of cooperating objects (CO) enables further advancement of IoT and helps to grasp the multiple aspects of these environments. This paper describes smart lighting application for the multipurpose outdoor environment at the university campus area implemented following the new paradigm. The application is aiming efficient use of energy and future integration with associated industrial systems

    A survey on the development status and application prospects of knowledge graph in smart grids

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    With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a new method describing the complex relationships between concepts and entities in the objective world, which is widely concerned because of its robust knowledge inference ability. Especially with the proliferation of measurement devices and exponential growth of electric power data empowers, electric power knowledge graph provides new opportunities to solve the contradictions between the massive power resources and the continuously increasing demands for intelligent applications. In an attempt to fulfil the potential of knowledge graph and deal with the various challenges faced, as well as to obtain insights to achieve business applications of smart grids, this work first presents a holistic study of knowledge-driven intelligent application integration. Specifically, a detailed overview of electric power knowledge mining is provided. Then, the overview of the knowledge graph in smart grids is introduced. Moreover, the architecture of the big knowledge graph platform for smart grids and critical technologies are described. Furthermore, this paper comprehensively elaborates on the application prospects leveraged by knowledge graph oriented to smart grids, power consumer service, decision-making in dispatching, and operation and maintenance of power equipment. Finally, issues and challenges are summarised.Comment: IET Generation, Transmission & Distributio

    Power-managed smart lighting using a semantic interoperability architecture

    Get PDF
    This paper presents a power-managed smart lighting system that allows collaboration of lighting consumer electronics (CE) devices and corresponding system architectures provided by different CE suppliers. In the example scenario, the rooms of a building are categorized as low and high priority, each category utilizing a different system architecture. The rooms collaborate through a semantic interoperability platform. The overall smart lighting system conforms to a power quota regime and maintains a target power consumption level by automatically adjusting lights in the building
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