An iot-based smart building solution for indoor environment management and occupants prediction

Smart buildings use Internet of Things (IoT) sensors for monitoring indoor environmental parameters, such as temperature, humidity, luminosity, and air quality. Due to the huge amount of data generated by these sensors, data analytics and machine learning techniques are needed to extract useful and interesting insights, which provide the input for the building optimization in terms of energy-saving, occupants’ health and comfort. In this paper, we propose an IoT-based smart building (SB) solution for indoor environment management, which aims to provide the following main functionalities: monitoring of the room environmental parameters; detection of the number of occupants in the room; a cloud platform where virtual entities collect the data acquired by the sensors and virtual super entities perform data analysis tasks using machine learning algorithms; a control dashboard for the management and control of the building. With our prototype, we collected data for 10 days, and we built two prediction models: a classification model that predicts the number of occupants based on the monitored environmental parameters (average accuracy of 99.5%), and a regression model that predicts the total volatile organic compound (TVOC) values based on the environmental parameters and the number of occupants (Pearson correlation coefficient of 0.939)

E-ticket System as an example of Internet of Things application

We are entering a new revolution of technology called Internet of Things (IoT). It enables machines to be connected and exchange data. It brings a huge potential to different areas of technology. It is being used in several applications in different fields: building smart city, smart home, health care and agriculture. This thesis summarizes current IoT application development and the development of an E-ticket system as a demonstration of IoT application. The literature research was taken place prior to the implementation phase. Several studies on existing scientific articles were done about current IoT applications and its use cases. After that, current IoT technologies were studied and the best technologies were chosen to implement the E-ticket system. It involves Amazon web services (AWS) [8], Java Spring framework [9] and REST [10] calls over 3G [11] connections. As the result of the research and implementation, the E-ticket system was developed and demonstrated to the teacher. The solution provides police officers a quick and easy way to issue fine tickets and automates the fine payment process. Moreover, it also allows people to give feedback about performance of police officers. It is being sold to the government to solve cash payment issues in developing countries. The research shows that IoT can be utilized in many different existing applications. It will improve the scalability of the application and allow collecting a huge amount of data, which will be the resource for big data analysis, machine learning, etc. IoT is a part of a big technology revolution we are going through at the moment

Test application of the internet of things for energy efficient outdoor smart lighting

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

Creation of a pilot for the FlexOffer concept

The revolution in the energy market and the end user need to control the things he has around him lead to the creation of a new concept: flexoffers. The flexoffer is built around scheduling energy usage with the prices of the energy market. The flexoffer is comprised of the pattern of usage and a window of when the pattern can begin. Those parameters are exposed to the energy markets using an Aggregator, entity responsible for gathering all the flexoffers in a region. The market will reply to the flexoffer proposition with the best time for the consumption of that energy, which in this case is when the prices are the lowest. This project revolves around the implementation of a pilot capable of applying that concept to a real life situation. Thus FlexHousing was created. It allows for the control of the energy usage of the appliances in a home or building. Such is possible by the integration of external technologies. Virtual Power Solutions, a national energy solutions company developed a product called Cloogy. The Cloogy is a gateway installed in one’s house and is capable of communicating with smart device provided by VPS. In this case, smart plugs were deployed. These smart plugs are placed between the appliance and the electrical outlet. From there the plug is able to control the flow of electricity towards the appliance. Sensors are also installed in these plugs, capable of collecting data regarding the energy usage amongst other metrics. In order to operate the plugs, VPS also provided us with an external API, capable of receiving request and forwarding those request back to the plugs. FlexHousing is comprised of 2 modules: the FlexHousing middleware and the FlexHousing FrontEnd. The middleware acts as a hub for every operation in the FlexHousing environment. It bridges the various system in play, the flexoffer services and the VPS services. FlexHousing allows for the creation of rooms and the attachment of devices equipped with VPS technology. The user is then able to perform a variety of operations, such as, applying flexoffers, remotely controlling the appliances and collect data from the sensors in the VPS devices. For the interaction with the user, FlexHousing FrontEnd was developed. It provides a user-friendly graphical interface for the user to setup and control FlexHousing middleware. The interface revolves around the rooms and the devices. The user is able to check the flexoffers he has applied and the schedules the flexoffers services sent back. If the user wants, he can deploy the VPS smart plugs to non flexoffer complaint devices, such as lamps, television and computer. Using the FrontEnd, he is also capable of using them.info:eu-repo/semantics/publishedVersio

A Context-Aware Architecture for Smart Applications with Enabled Adaptation and Reasoning Capabilities

The term ''smart city'' refers to an instrumented, interconnected, and intelligent city built by leveraging Information and Communication Technologies (ICT). In such a city, a combination of embedded hardware and software involving sensors, actuators, and a host of mobile devices and wearables that are connected to the Internet of Things (IoT) networks will sense data in different contexts and automatically drive desired adaptations through actuators. Through adaptations, city planners, professionals, and researchers aim to optimize resource consumption and cost of providing services while improving the quality of life for the ever increasing urban population. To fully realize this goal, a context-aware and data-centric inference is a necessity. A system is said to be context-aware if it is able to adapt its operations to the current context without explicit user intervention. This thesis proposes a generic context-aware system architecture for development of smart city applications. The proposed architecture puts special emphasis on privacy and security, incorporating mechanisms to protect the system and sensitive information at each layer of the architecture. Furthermore, this architecture integrates with a reasoning component, whose inference engine can be driven by logic or other formalisms. A prototype implementation and a case study done in this thesis indicate the practical merits of the proposed architecture and provide a proof of concept

Computer Science's Digest Volume 3

This series of textbooks was created for the students of the Systems Engineering Program at the University of Nariño. They have been intentionally written in English to promote reading in a foreign language. The textbooks are a collection of reflections and workshops on specific situations in the field of computer science, based on the authors’ experiences. The main purpose of these textbooks is essentially academic. The way in which the reflections and workshops were constructed follows a didactic structure, to facilitate teaching and learning, making use of English as a second language. This book covers Professional Issues in Computing and Programming the Interne

Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project

Nowadays more and more devices are becoming "smart", in fact they can take autonomous decision and interact proactively with the surrounding environment. Smart home is just one of the most popular terms related with this relevant change we are witnessing and its relevance in this project is mainly due to the fact that the residential sector account an important percentage in terms of energy consumption. New ways to share and save energy have to be taken into account in order to optimize the usage of the devices needed by houses to make the environment cozy and comfortable for their inhabitants. The work done with Professor Turgut's team has improved the knowledge in the smart home system area providing a scalable and reliable architecture, a new dataset and an example of application of these data useful to save energy while satisfying the demands of its inhabitants

A Human-Centred Approach for Residential Energy Efficiency Improving

Smart-cities rely on enhancing the relationships between the actors that composes them so that their offered services grow in number, quality and efficiency. One of these actual services is the energy providing, which demand for efficiency puts it at the top of the list for an urgent smartening. It is estimated that the energy consumption in buildings accounts for 40% of the total energy needs in Europe. It also emerges as good fit for an internet-based solution due to its decentralized and heterogeneous profile. This fact has been acknowledged by the grid stakeholders, which are investing in the development of internetbased solutions for monitoring and controlling home appliances. But these solutions seem to be missing the technology’s full potential to aggregate the grid with the consumers, as the former are not significantly responding to this call. This work proposes a human-centred approach for this technology, by keeping the human in the loop and empowering its own smartening by using behavioural data instead of consumption data, and by bringing an emotional attachment to the task of improving households’ consumption by gamifying the interface with this data. To achieve this goal a connected device and an online platform to support it were developed. A pilot stage to showcase the impact on refrigerators’ usage, and consequently their consumption, was prepared, and preliminary results were gathered

Sensors as a Service in the Cloud

[CATALÀ] Aquest projecte presenta un sistema basat en el Cloud i la metodologia de servei. El problema que adreça és la construcció d'una plataforma on usuaris finals o entitats puguin accedir a les dades que generen els sensors. S'estableix un mecanisme pel qual els propietaris dels sensors son remunerats.[ANGLÈS] This project presents a system grounded in Cloud technologies and services. The problem that pursues is the implementation of a platform where the users or entities can access the data produced by the sensors. The platform establishes methods to pay to the owners of the sensors

QuiiQ automation foundation

Tese de mestrado. Engenharia Informática. Faculdade de Engenharia. Universidade do Porto. 200