Wireless Sensor Network (WSN) untuk Predictive Maintenance Lampu Sinyal Kereta Api

MUHAMMAD FAUZI NURYASIN, BAMBANG MUKTI WIBAWA, MOHAMMAD TAUFIK

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ABSTRAK

Lampu sinyal memiliki peranan yang penting dalam persinyalan kereta api. Pemeliharaan lampu sinyal perlu diperhatikan agar kondisi lampu sinyal tetap sesuai standar. Penelitian ini merancang Wireless Sensor Network (WSN) untuk mengakuisisi parameter lampu sinyal agar dapat dipantau, dianalisis, dan disimpan. Parameter yang diakuisisi berdasarkan dari standar peraturan Menteri Perhubungan Indonesia mengenai lampu sinyal kereta api antara lain intensitas cahaya, tegangan, suhu, dan kelembapan lingkungan lampu sinyal. Sistem tersusun dari tiga subsistem, yaitu sensor node, gateway, dan server. Sistem dapat melakukan pemantauan intensitas lampu sinyal, suhu dan kelembapan lingkungan lampu sinyal, serta tegangan lampu sinyal yang dikirim secara nirkabel yang dapat mencapai jarak hingga 200 m memanfaatkan spektrum radio frekuensi 433 Mhz. Pada saat ada gangguan terhadap lampu sinyal, sistem telah mampu melakukan predictive maintenance berdasarkan standarisasi lampu sinyal.

Kata kunci: lampu sinyal, sensor node, gateway, server, wireless sensor network

 

ABSTRACT

Signal lights has an important role in railway signaling. Proper maintenance must be taken to maintain signal lights so that signal lights condition remain in accordance with the standard. This study designed the Wireless Sensor Network (WSN) to acquire signal lights parameter information so that it can be monitored, analyzed and stored. The parameters acquired are based on the Indonesian Minister of Transportation's regulatory standards regarding railway signal lights such as light intensity, voltage, temperature, and humidity of signal lights. System consists of three subsystems, namely sensor node, gateway, and server. System can monitor signal lights intensity, ambient temperature, ambient humidity, and voltage of signal lights then send those parameters which can reach distances of up to 200 m utilizing the radio frequency spectrum 433 Mhz. When there are interferences with signal lights, system has been able to perform predictive maintenance based on the signal lights standardization.

Keywords: signal lights, sensor node, gateway, server, wireless sensor network


Kata Kunci


lampu sinyal; sensor node; gateway; server; wireless sensor network

Teks Lengkap:

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Referensi


Badan Pusat Statistika. (2019, Januari 19). Jumlah Penumpang Kereta Api. Diakses dari https://www.bps.go.id/linkTableDinamis/view/id/815.

Busard, S., Cappart, Q., Limbrée, C., Pecheur, C., & Schaus, P. (2015). Verification of railway interlocking systems. Electronic Proceedings In Theoretical Computer Science, 184, (pp. 19-31).

Chen, X., & Rowe, N. (2011). An Energy-Efficient Communication Scheme in Wireless Cable Sensor Networks. 2011 IEEE International Conference On Communications (ICC), 1-5.

Cheng, C., Tse, C., & Lau, F. (2011). A Delay-Aware Data Collection Network Structure for Wireless Sensor Networks. IEEE Sensors Journal, 11(3), 699-710.

Ekene, S., Micheal, C., Kennedy, C., & Genevra, E. (2013). Self diagnostic system for Predictive Maintenance of traffic light control system. 2013 IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON), (pp 308-313).

Kementerian Perhubungan Republik Indonesia. (2018, April 12). Persyaratan Teknis Peralatan Persinyalan Kereta Api. Diakses dari http://jdih.dephub.go.id/produk hukum/view/VUUwZ05EUWdWRUZJVlU0Z01qQXhPQT09

Labrador, M., & Wightman, P. (2009). Topology Control in Wireless Sensor Networks. Springer Science & Business Media.

Paul, B., & Matin, M. (2011). Optimal geometrical sink location estimation for two-tiered wireless sensor networks. IET Wireless Sensor Systems, 1(2), 74-84.

Rotariu, C., Bozomitu, R., Cehan, V., Pasarica, A., & Costin, H. (2015). A wireless sensor network for remote monitoring of bioimpedance. 2015 38th International Spring Seminar On Electronics Technology (ISSE), (pp. 487-490).

Selcuk, S. (2016). Predictive maintenance, its implementation and latest trends. Proceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 231(9), 1670-1679.




DOI: https://doi.org/10.26760/elkomika.v8i2.418

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