Test application of the internet of things for energy efficient outdoor smart lighting
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The term Internet of Things (IoT) is immerging lately in many researches and publications with the purpose of standardizing the concept. The IoT tends to connect the physical world virtually through the internet by creating a virtual identity for every physical object. Huge amounts of devices with numerous amounts of data will be connected by the year 2020. Researches are aiming to implement the IoT paradigm in several domains such as smart lighting, traffic control, waste management, and air pollution. Due to the immense necessity for reducing energy consumption and creating adaptive lighting solution, smart lighting earned most of the attention of researchers. This thesis work aims to apply the IoT paradigm for controlling and monitoring of a smart lighting application. The implementation aims to reduce the energy consumption in addition to, achieve adaptability of the lights according to the surrounding environment. The implementation uses Service Oriented Architecture (SOA) to allow heterogeneity and interoperability between components. In this implementation a control algorithm is proposed, which takes into account most of the surrounding environment conditions and conducted tasks. The main purpose of control is to reduce energy consumption and loss by delivering sufficient amount of lighting required without affecting the visibility. On the other hand, energy consumption measuring and monitoring were achieved by automatic subscribe and discovery of energy meters by means of Device Profile Web Service (DPWS). Moreover a set of specific KPIs are designed in order to give a holistic view of the system to the facility managers, in order to evaluate and analyse the performance. In addition, it raises the awareness of personnel with the impact of light usage. Finally a web based dashboard application is developed in order to present system data in real time and display KPIs in a visualized way. The dashboard consumes Web Services (WS) for retrieving data.