Page 257 - IRSEM_Main Book

At functional level the system is broadly divided into two categories:

(a) Remote Diagnostic of Equipment: To reduce MTTR and providing aid to
maintenance staff in rectifying the signal failures. This is achieved by
automated analysis of parameters of Signal gears collected remotely using IoT
(Internet of Things) devices. The system shall be able to give probable cause of
failure to aid the maintenance staff for early restoration reducing MTTR.

(b) Predictive Maintenance: To facilitate predictive maintenance by advance
computing of Big data using Machine Learning and Artificial Intelligence. The
data of all the stations shall be continuously analysed by system for developing
the supervised and unsupervised machine learning. The system shall be able
to send automatic alerts for Signalling gears which are likely to fail based on the
system learning. This will assist the maintenance staff to take necessary action
to eliminate failure before it occurs.

(c) Data Acquisition from Field & Indoor Equipments: The data from each
signalling gear at the station shall be collected on real time basis using the
inbuilt diagnostic ports of the signalling gears and/or the external sensors.
Sensors of proper rating to be used as per monitoring range of various
parameters of signalling gears to be monitored.

11.3.2 IoT System

The IoT device shall be software embedded system preferably COTS
(commercially off the shelf) and will do the basic function of capturing the
parameters from the signalling gears using the sensors and diagnostic ports
and transmit the data to Local Server through Gateway at the station.

Chapter 11: Dataloggers and Predictive Maintenance Systems Page 223 of 535