IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions
The Internet of Things is arriving to our homes or cities through fields already known like Smart Homes, Smart Cities, or Smart Towns. The monitoring of environmental conditions of cities can help to adapt the indoor locations of the cities in order to be more comfortable for people who stay there. A way to improve the indoor conditions is an efficient temperature control, however, it depends on many factors like the different combinations of outdoor temperature and humidity. Therefore, adjusting the indoor temperature is not setting a value according to other value. There are many more factors to take into consideration, hence the traditional logic based in binary states cannot be used. Many problems cannot be solved with a set of binary solutions and we need a new way of development. Fuzzy logic is able to interpret many states, more than two states, giving to computers the capacity to react in a similar way to people. In this paper we will propose a new approach to control the temperature using the Internet of Things together its platforms and fuzzy logic regarding not only the indoor temperature but also the outdoor temperature and humidity in order to save energy and to set a more comfortable environment for their users. Finally, we will conclude that the fuzzy approach allows us to achieve an energy saving around 40% and thus, save money.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Proposing Dynamic Model of Functional Interactions of IoT Technological Innovation System by Using System Dynamics and Fuzzy DEMATEL
One of the emerging technologies, which is expected to have tremendous effects on community development, is the Internet of Things technology. Given the prospects for this technology and the country's efforts to its deve…
Decision MakingNanogrid Power Management Based on Fuzzy Logic Controller
The transport industry is undergoing unprecedented technological change. In the automotive sector, the voices of progress are, among other things, linked to the partial or total electrification of vehicles. Thanks to bi-…
ManagementNFT Hydroponic Control Using Mamdani Fuzzy Inference System
The Nutrient Film Technique (NFT) method is one of the most popular hydroponic cultivation methods. This method has advantages such as easier maintenance, faster and optimal plant growth, better use of fertilizers, and l…
Design of Fuzzy Logic Controller for Washing Machine
Things are becoming more advanced as technology advances,and machines now perform the majority of the manual work. The most often used home appliance is the washing machine for cloths. In this paper, we used the Mamdani …
Real-time Framework for Interoperable Semantic-driven Internet-of-Things in Smart Agriculture
The Internet of Things (IoT) has revolutionized various applications including agriculture, but it still faces challenges in data collection and understanding. This paper proposes a real-time framework with three additio…