Development of System for Supporting Lock Position Adjustment Work for Electric Point Machine

Abstract

This paper presents a method which makes use of data collected in the monitoring devices fitted to electric point machines. First, a model was built to detect the lock position of the point machine. Then, an algorithm was devices to predict variations in the lock position, by employing meteorological data, air temperature and humidity. A study was then conducted to investigate how the predicted lock position data could be utilized. Second, we have proposed how to provide supporting information for planning the work of the lock position adjustment. Finally, a method was developed to enable visualization of the predicted position data.