Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

High Voltage Power Distribution Network Insulator Fault Monitoring Using IoT Technologies (CROSBI ID 317544)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Švarcmajer, Miljenko ; Hederićc, Željko ; Cvetković, Nenad N. High Voltage Power Distribution Network Insulator Fault Monitoring Using IoT Technologies // International journal of technology and engineering studies, 7 (2022), 2; 24-29. doi: 10.20469/ijtes.7.10004-2

Podaci o odgovornosti

Švarcmajer, Miljenko ; Hederićc, Željko ; Cvetković, Nenad N.

engleski

High Voltage Power Distribution Network Insulator Fault Monitoring Using IoT Technologies

The most common method of detecting insulator faults to date requires trained personnel to manually inspect a large number of insulators in a variety of locations and positions. This is a relatively simple task if there’s a road next to the HV grid. When the terrain isn’t so easily accessible, the difficulty of detection increases exponentially. This is where IOT technologies come in. A Croatian team consisting of the company Callidus Group and the Faculty of Electrical Engineering, Computer Science and Information Technology in Osijek (FERIT) is developing a LoRa-based tracking device. The device (consisting of several sensors, a control unit, and a communication unit) is still in the development phase, which means that each sensor is being tested both in a laboratory and in an active distribution network. The device is expected to have a lifespan of about ten years when attached to the insulation. Under the given conditions, LoRa has shown its full potential with its low energy consumption and long range. Theoretically, Lora communication could reach a range of 10 km. Using LoRa devices instead of manual and optical methods is a resource and time-saving method.

IoT, LoRa, LoRaWAN, high voltage network monitoring system

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

7 (2)

2022.

24-29

objavljeno

2415-0924

2414-3413

10.20469/ijtes.7.10004-2

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice