Monitoring and Prediction of Sand Levels in Silos | STIMIO | Railway-News

2022-08-13 09:59:26 By : Mr. Leo Wu

Tags Condition Monitoring Data Systems IoT

The large majority of rail rolling stock, trains, tramways and subways use sand to increase wheel-rail adhesion for traction and braking.

Some conditions significantly decrease vehicle adhesion, such as in the fall, when the presence of plant residues and high humidity make rails ‘greasy.’

In this context, using ‘sandboxes’ to add sand between wheels and rails allows to increase the coefficient of friction and therefore to mitigate adhesion deficiencies.

As a security device, sandboxes and their reservoirs must always be in operational condition. They are therefore regularly filled with calibrated, dry sand. Storage silos make it possible to supply an entire distribution network.

Unfortunately, sand levels in silos are not monitored in real time. Moreover, consumption via the distribution and filling network is also inaccurate. Without monitoring, in the event of an empty silo, it is impossible to fill rolling stock sandboxes.

To make up for this lack of real-time monitoring, Stimio offers an end-to-end IoT solution allowing to collect data on sand levels, send it and display it on a dashboard as a part of Oxygen Asset Management, along with a notification and business alerts system.

Our prediction tool allows to predict when an excessively low level will be reached. Our clients’ teams are therefore alerted upstream, enabling optimal flow and order management.

At the top of each silo, a radar sensor measures the sand level and sends it via a 4-20 mA uplink to our IoT Railnode sensor located at the base of the silo. Sand level measurements are taken at the frequency desired by the client.

The data collected are sent over the cellular network to our Oxygen Asset Management data processing and display platform.

The following is a detailed breakdown of the functionalities offered by our sand silo monitoring solution:

This solution comes with multiple advantages:

This article was originally published by STIMIO.

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