Abstract
This paper shows the design, implementation and analysis of a fuzzy system for monitoring and alert generation for gas detection in enclosed spaces, which can be very useful either at home or industrial environments. Furthermore, this could be a useful application in the fields of Home Automation which may be developed by integrating devices and technologies of The Internet of Things. Such application consists of the provision of sensors, which constantly receive signals on gases in the environment. Subsequently, the information is analyzed by a fuzzy system that determines when to generate alert notifications, identifying the times when levels are high, either by incendiary or high pollution situations. The prototype consists of connecting an MQ-2 sensor with a Raspberry Pi, which receives the information provided and analyses it by fuzzy logic, thus determining in which cases it is necessary to alarm at sensitive events, generating alert emails and historical data.
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References
Sowah, R., Ofoli, A., Krakani, S., Fiawoo, S.: Hardware Module Design of a Real-Time Multi-sensor Fire Detection and Notification System Using Fuzzy Logic (2014)
Mathew, T., Sam, C.: Closed Loop Control of BLDC Motor Using a Fuzzy Logic Controller and Single Current Sensor (2013)
Manjunatha, P., Verma, A.K., Srividya, A.: Multi-sensor Data Fusion in Cluster Based Wireless Sensor Networks Using Fuzzy Logic Method (2008)
Hata, Y., Kobashi, S., Taniguchi, K., Nakajima, H.: Human Health Monitoring System of Systems with Fuzzy Logic by Sensor Network (2009)
Guo, L., Galarza, L., Fan, J., Choi, C.: High Accuracy Three-Dimensional Radar Sensor Design Based on Fuzzy Logic Control Approach (2013)
Liu, Y., Chen, M., Wang, M.L., Dokmeci, M.: Sensing characteristics of RNA oligomer coated SWNT gas sensors (2011)
Russell, L., Goubran, R., Kwamena, F.: Personalization Using Sensors for Preliminary Human Detection in an IoT Environment (2015)
Parthasarathy, R., Kalaichelvi, V., Sundaram, S.: A Novel Fuzzy Logic Model for Multiple Gas Sensor Array (2015)
Jonda, S., Fleischer, M., Meixner, H.: Temperature control of semiconductor metal-oxide gas sensors by means of fuzzy logic (1995)
Zadeh, L.A.: Is there a need for fuzzy logic. J. Inf. Sci. 178, 2751–2779 (2008)
Ramot, D., Friedman, M., Langholz, G., Kandel, A.: Complex Fuzzy Logic 11, 450–461 (2003)
Yu, Y.: Rule based fuzzy logic inferencing (1994)
Jiru, P.: Design of intelligent monitoring system (2013)
Sinha, N., Pujitha, K., Alex, J.: Xively Based Sensing and Monitoring System for IoT (2015)
Rajati, M.R., Khaloozadeh, H., Pedrycz, W.: Fuzzy logic and self-referential reasoning: a comparative study with some new concepts 41, 331–357 (2014)
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© 2016 Springer International Publishing Switzerland
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Hernández, C., Villagrán, S., Gaona, P. (2016). Predictive Model for Detecting MQ2 Gases Using Fuzzy Logic on IoT Devices. In: Jayne, C., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2016. Communications in Computer and Information Science, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-319-44188-7_13
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DOI: https://doi.org/10.1007/978-3-319-44188-7_13
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