In a bid to achieve vision of Hon’ble Prime Minister to make use of Artificial Intelligence (AI) to create a better future for citizens, Indian Railways decided to shift from Schedule based Maintenance regime to Predictive based Maintenance regime to reduce the load on maintenance of assets. In line with it, Remote Diagnostic & Predictive Maintenance System (RDPMS) has been installed at Tangla Station under Rangiya Division. The RDPMS is designed for monitoring of signalling gears to predict possible failures.
The main objective of RDPMS is to prevent the failure of signalling gears by assisting signalling maintenance team to take appropriate maintenance action in advance. All the real time data from signalling equipment are collected through sensors which will play a vital role in overall reliability of the system. RDPMS will ease monitoring, maintaining and predicting the status and health of different assets that are installed in the station. The AI based RDPMS will provide predictive and preventive failure alerts to increase the productivity and reduce the maintenance time and cost. This will result in safer and punctual train operations. In future, such AI based maintenance shall be used for all fixed assets in NFR like bridges, etc.
Periodical maintenance is a traditional way of maintaining signalling gears as per the fixed roaster schedule. This arrangement requires regular engagement of manpower and assets replacement activity based on the codal life. It is time consuming process, costly affair and rectification time is more as maintenance team is not available 24×7 at all stations. To improve the reliability and monitoring of system, RDPMS has been introduced.
