A Real-Time Controlling Mechanism Using Fuzzy Logic for Efficient Comfort Supporting and Power Consumption in Smart Homes
Wenquan Jin1, Yong Geun Hong2, Do Hyeun Kim3
1Wenquan Jin, Department of Computer Engineering, Jeju National University, Jeju, Republic of Korea.
2Yong Geun Hong, Department of Computer Engineering, Jeju National University, Jeju, Republic of Korea.
3Do Hyeun Kim, Department of Computer Engineering, Jeju National University, Jeju, Republic of Korea.
Manuscript received on 01 January 2019 | Revised Manuscript received on 06 January 2019 | Manuscript Published on 07 April 2019 | PP: 250-256 | Volume-8 Issue- 3C January 2019 | Retrieval Number: C10590183C19/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Many researchers have been interested on the power-efficiency solutions in buildings because of the power consumption is a huge amount in our modern life through heterogeneous electronic devices. Methods/Statistical analysis: For making a more comfortable environment in an indoor environment of building such as smart homes, the electronic devices are required to changing environmental parameters, such as temperature, illumination and air quality. Moreover, the power consumption also needs to be efficient for avoiding wastage and unnecessary usage of power. The intelligent controlling mechanism enables minimal power consumption with a comfortable environment. Findings: In this paper, a real-time controlling mechanism is proposed, which is based on the fuzzy logic to control actuators for the comfortable environment using minimal power consumption. The fuzzy logic controlling is based the fuzzy inference which defines the fuzzy membership for the temperature, illumination, and air quality to support the controlling factors of air conditioner, boiler, fan and light. For applying the proposed controlling mechanism, we present the virtual environment that emulates the sensing environment with presented environment parameters which provides air quality data, illumination data and temperature data. The actuators also are implemented to emulate the air conditioner, boiler, fan and light for evaluating the proposed mechanism in the virtual environment. Improvements/Applications: Through the evaluation, the results show the controlling mechanism updates the parameters to keep the comfortable environment using optimized power consumption.
Keywords: Control Mechanism, Comfort, Fuzzy, Power, Virtual Environment, Smart home.
Scope of the Article: Fuzzy Logic