Email this article Using an Arduino and a temperature, humidity sensor, Automate the fan speed
Abstract
To automate fan speed management by utilizing an Arduino board, temperature and humidity sensors are being investigated. However, instead of having to manually alter a fan's speed every time it's needed, this approach allows it to automatically adjust its speed based on the surrounding environment. Internet of Things (IoT) is used as a basis for the project (IOT). Automatically control fan speed with a DHT22 sensor. The resistance of the fan will be changed according to the temperature measured by the temperature and humidity sensor to vary the fan speed. Getting information requires a little planning. In addition to the DHT22, Arduino, and LCD, there will be a programmable LCD display
Keywords
Full Text:
PDFReferences
Vaibhav Bhatia and Pawan Whig, “A Secured Dual Tone Multifrequency Based Smart Elevator Control System," International Journal of Research in Engineering and Advanced Technology, Volume 1, Issue 4, Aug-Sept, 2013.
F. Luo, X. Zhao, and Y. Xu, "A new hybrid elevator group control system scheduling strategy based on particle swarm simulated
annealing optimization algorithm", Intelligent Control and Automation (WCICA), 2010, pp. 5121-5124.
Xiaodong Xia, Based on Single-Chip MicrocomputerRemote Wireless Control System Design. Coal Mine Machinery, vol. 32
(8), 2011, pp. 202-204.
I. Panagopoulos, C. Pavlatos and G. Papakonstantinou, "An Embedded Microprocessor for Intelligent Control," Journal of
Intelligent and Robotic Systems. Springer Netherlands, vol. 42, 2005, pp. 179-211.
B. Ismail, S. Taib, A. R. M. Saad, M. Isa and C. M. Hadzer, "Development of a Single Phase SPWM Microcontroller-Based
Inverter", Proceedings of the Annual International Conference of the PECon, November 2006,pp. 437-440.
S. Kwakyea and A. Baeumner”An embedded system for portable electrochemical detection", Sens. Actuat. B, vol. 123, no. 1, 2007, pp.336 -343.
Pawan Whig and S. N Ahmad,” Simulation and performance analysis of Multiple PCS sensor system“, Electronics, 2016, Vol. 20, Issue 2 pp. 85-89.
Pawan Whig and S. N Ahmad,” Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic “, Journal of earth science and climate change, 2017, Vol.8, Issue 4, pp.1-6.
G. Massobrio and P. Antognetti, Semiconductor Device Modeling with SPICE, New York, USA: McGraw-Hill, 1993.
M. Peterson, J. Turner, and A. Nozik, “Mechanistic studies of the photocatalytic behavior of TiO2 particles in the photoelectrochemical slurry and the relevance to photo detoxification reactions,” Journal of Physical Chemistry B, 1991, 95(1): 221–225.
Pawan Whig and S. N Ahmad,” Ultraviolet Photo Catalytic Oxidation (UVPCO) Sensor for Air and Surface Sanitizers Using CS amplifier”, global Journal of researches in engineering: F 2016, Vol. 16, Issue 6, pp.1-13.
Velu, A. (2019). The spread of big data science throughout the globe. International Journal of Sustainable Development in Computing Science, 1(1), 11-20.
Velu, A. (2019). A Stable Pre-processing Method for the Handwritten Recognition System. International Journal of Machine Learning for Sustainable Development, 1(1), 21-30. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/60
Whig, P. (2019). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11-20. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/53
Whig, P. (2019). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1-10. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/54
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 International Journal of Sustainable Development in Computing Science
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
A Double-Blind Peer Reviewed Journal