The Automatic Design of Light Intensity Led Lights Signal Based on Weather with K-NN Algorithm

DOI

10.2991/978-94-6463-126-5_25How to use a DOI?

Keywords

automation; K-NN Algorithm; Lamp LED Signal

Abstract

The signal lamp is an important component in the railway signaling system. The most important component of the signal lamp is LED (led emitting diode). Because the signal lamp is continuo turned on and in a bright situation even in different weather conditions, so from that situation comes a reduction in the lamp life, and the waste of electrically tariff cost. This research uses K-NN algorithm method used for weather data classification from readings of each sensor. The current weather will be classified automatically, and from the result of the classification are used for setting the light intensity of the trains led signal lamp. The K-NN algorithm will be made in the Arduino. IDE programming language which will be inserted into the Arduino mega 2560 pro mini microcontroller, and the sensor to be used are the rain sensor, the light sensor or LDR, and the DHT22 sensor. The result from this research has been done on 27–30 June 2022. The K-NN algorithm has succeeded in classifying the weather data from readings of each sensor. From the results of the classification, the system has also succeeded in automatically adjusting the light intensity of the trains LED signal lamp, and also succeeded in saving electrically energy which also has an impact on saving the cost of PLN tariff Rp 8.027,22 to Rp 7.651,92 With difference of Rp 375.26 One month tariff in one train LED signal lamp.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Aryo Nur Ahsan Jatmikanto
AU  - Fathurrozi Winjaya
AU  - Agustinus Prasetyo Edy Wibowo
PY  - 2023
DA  - 2023/03/31
TI  - The Automatic Design of Light Intensity Led Lights Signal Based on Weather with K-NN Algorithm
BT  - Proceedings of the International Conference on Railway and Transportation (ICORT 2022)
PB  - Atlantis Press
SP  - 238
EP  - 248
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-126-5_25
DO  - 10.2991/978-94-6463-126-5_25
ID  - Jatmikanto2023
ER  -