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Design and Development of IoT-Based Sensor-Actuator Systems for Smart Buildings

Sheklabadi Habibabadi, Ali | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54497 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Gholampour, Iman; Hajsadeghi, Khosrow
  7. Abstract:
  8. The use of the Internet of Things in buildings has become increasingly important. Meanwhile, sensors and actuators play a very important role. With the help of sensors, various data of residents' environment and behavior can be obtained and various parameters can be controlled through actuators. Data from the presence, measurement and decision making of the components of this structure in a building can be used to model and predict the behavior of residents with methods of machine learning, data mining and artificial intelligence such as deep learning and Gaussian processes, helping to achieve the goal of residents' comfort and energy saving.In the desired structure, the sensor- actuator units play the role of objects at the lowest level and through the related protocols connect to a smart gateway that has already been designed and built and through it connect to the Building Management System (BMS) and if Coordination at higher levels is necessary, connect to a cloud system outside the building. The role of the Gateway is providing connectivity to other various sensors, actuators and objects of this project.The purpose of this dissertation is designing and implementing a modular sensor-actuator system that can connect to various types of wired and wireless protocols and provide artificial intelligence and machine learning, locally or distributed. In the software section, using Gaussian processes and reinforcement learning, a temperature control system has been designed in which the user's desired temperature is first determined and then the most optimal path in terms of energy consumption will be applied to the environment to reach this desired temperature
  9. Keywords:
  10. Internet of Things ; Intelligent Building ; Reinforcement Learning ; Sensors ; Actuators ; Gaussian process ; Building Management ; KNX Protocol

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