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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Development of an Automated Lighting Control System Based on Machine Vision and Wireless Communication Channels

Dmitry Alekseevich Ivanov, Marat Ferdinantovich Sadykov, Ibragim Amirovich Murataev, Danil Aleksandrovich Yaroslavsky, Mikhail Petrovich Goryachev, Azat Robertovich Gainutdinov, Anatoly Alekseevich Naumov and Rustam Shaukatovich Misbakhov
Page: 2893-2898 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

The study describes operation of the test site control system designed to create a comfortable light environment and monitor lighting characteristics of an artificial lighting system with power supply from renewable energy sources in order to ensure a high level of energy efficiency. The test site is intended for testing and debugging software for Wireless Industrial Automation Network (WIAN) modules, debugging and adjustment of functions of local and remote site control using the wireless industrial automation network modules, debugging and adjustment of self-diagnostic functions for wireless industrial automation network modules and their communication channels. Wireless industrial automation network modules having a possibility to interact with Bluetooth, Wi-Fi, PLC, Ethernet , USB, RS- 485, IrDA communication protocols are designed to monitor conditions of objects, enterprise and public buildings automation by means of information gathering and transmission from external sensors, automatic data broadcasting, etc.


How to cite this article:

Dmitry Alekseevich Ivanov, Marat Ferdinantovich Sadykov, Ibragim Amirovich Murataev, Danil Aleksandrovich Yaroslavsky, Mikhail Petrovich Goryachev, Azat Robertovich Gainutdinov, Anatoly Alekseevich Naumov and Rustam Shaukatovich Misbakhov. Development of an Automated Lighting Control System Based on Machine Vision and Wireless Communication Channels.
DOI: https://doi.org/10.36478/jeasci.2016.2893.2898
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.2893.2898