RANCANG BANGUN EARLY WARNING SYSTEM KERUSAKAN JEMBATAN PADA PERLINTASAN KERETA API

Main Author: Raharjo, Alief Aditiya
Format: Thesis NonPeerReviewed Book
Bahasa: ind
Terbitan: , 2016
Subjects:
Online Access: https://eprints.untirta.ac.id/10437/1/RANCANG%20BANGUN%20EARLY%20WARNING%20SYSTEM%20KERUSAKAN%20JEMBATAN%20PADA%20PERLINTASAN%20KERETA%20API%20%28COVER%20-%20LAMPI.PDF
https://eprints.untirta.ac.id/10437/
Daftar Isi:
  • Railway bridge is one of the means of transport is very important for humans as the main media path connecting trains traveling between one region and another. Seeing the importance of the function of a railway bridge in the system of rail travel, the manufacture of railroad bridges must meet a wide range of existing standards. Some of the conditions that must be met in the manufacture of the bridge is the bridge resistance of the weight-bearing and strength passing a bridge support and order the bridge to withstand the conditions of the bridge vibration or changes in soil structure unpredictable. The purpose of this study is to make a notification bridge damage that is easy to use and effective to detect bridge damage caused by unexpected load that will pass through the bridge and crookedness that occurred on the iron bridge support. The system uses a microcontroller arduino uno R3 with gyroscope + accelerometer sensor as a detector crookedness bridge support and use the load cell sensor as detection of unexpected load that will pass through the bridge, equipped with data transmission bridge damage using Short Message Service (SMS). The system uses arduino programming language, from the results of this study concluded that the bridge damage detection device works digitally, realtime, and effective with an average error gyroscope + accelerometer sensor readings are from 0.74 to 1.35% and the average error of sensor readings load cell is 0.02 to 0.13%, and the average travel time of the detection system and crookedness excessive load on the sensor until receipt of SMS to mobile destinations in the test was 7.8 seconds.