Traditional point machine monitoring is currently being reinvented to meet today’s stringent safety requirements and quality standards. The condition monitoring system is provided to streamline resources, prevent breakdowns, and improve reliability. It includes instant alarm reporting with artificial intelligence breakdown diagnosis and tools to improve maintenance plans.
Management systems as ERP's can be integrated allowing to provide automated calendars to streamline maintenance tasks.
Install the same solution for different point machine types. It also allows to combine data from different assets as other signaling elements.
The hardware is highly efficient, easy to install, and scalable. It can be adapted to different point machine models and it offers remote programming and configuring.
The interface presents data in a simple and intuitive way. It offers multiple utilities to design maintenance plans and to predict and diagnose the breakdowns.
|24/7 Control Voltage||✓||✓||✓|
|Liquid Presence Detector||✓|
|Vibrations inside the Point Machine||✓|
|Control Bar Position||✓|
|Draw Bar Position||✓*|
|Draw Bar Return||✓*|
Maintenance of point machines has been performed on the bases of standard maintenance plans which mainly determine the inspections frequency. Sometimes, despite compliance with these specifications, errors continue appearing in point machines.
Why shouldn’t maintenance calendars be standard?
Unexpected things occur and plans need to frequently readapt. CBM planner considers preventive, predictive and corrective orders. More and more worldwide railway companies are joining DAVANA and switching from traditional maintenance plans to condition-based maintenance ones. Thanks to the monitoring system and the information gathered and analysed by DAVANA, maintenance intervals are optimized and unplanned downtime is minimized.
New maintenance calendars according to the real maintenance needs of the assets and the availability of resources.
New interactive tool that fulfill monitored data by smart motors ® during maintenance tests.