The Data Inspector is an easy tool on Railfleet that allows you to visualise the data you collect from your trains in real time and to spot (or confirm) any abnormalities in a set of comprehensive graphs.

You can access the data inspector by clicking here:

and you should see a page similar to this:

Select an asset

To view graphs you’ll first need to select an asset: use the search and dropdown menu at the top left of the page to do so.

Select a time frame

In the time selector on the right hand side of the page you can easily set a custom time range to view the data that's important to you. There’s also a whole list of “quick ranges” you can choose from.

Once the data has loaded and the graphs are visible, you can also easily zoom in on a time frame on the graph itself. To do so you first put your cursor at the starting point of the range you want to zoom in on. Then drag the cursor to the desired end point and let go. Afterwards, the graph will only show the data from the selected time frame.

To zoom back out you click on the "Reset zoom" button in the upper right corner of the graph. This will take you back to your initial time frame.

Finally you’re also able to specify a refresh interval: the data in the graph will automatically refresh at the chosen rate.

Select data

Depending on how extensive your remote condition monitoring is, you will be able to display a wide spectrum of data on the graphs. 

The data selector at the top of the page helps you to explore the available data and to select the values to display. The new data graphs will be displayed below the already visible graphs. You can remove fields by clicking on the “x” next to the name of the field in the data selector.

The data selector offers two ways to choose the new data graphs you wish to display:

  1. You can free-search all the available fields for the asset using the “Quick search” option in the form

  2. You can select a message type and a message key using the “Message type” and “Field name” fields in the form 

In the data selector you’ll also be able to choose the type of graph you wish to see, as for some data, such as the state of a locomotive, you’ll want to see the interval, instead of a line graph.

How to use the Data Inspector, an example

The Data Inspector can be used to perform or confirm diagnostics when e.g. an automatic alert comes in. The graphs allow you to easily spot abnormal patterns in the telematic data collected from your assets.

Let’s take a look at an example. On the graph below you can see the battery voltage (in blue) of an electrical locomotive, oscillating from 105 volts to 125 volts. When the locomotive runs it’s charging, when it’s parked it’s discharging.

The left side of the graph shows the normality pattern. But on the right hand side of the graph, it’s easy to see that the battery is only discharging. Now, when we send out a machine learning-based alert like the battery alert we not only warn people about possible upcoming failures, but we also enable them to confirm the alert by looking at the data in the data inspector. 

In this example the battery wouldn't have been strong enough to lift the pantograph when starting the train's next trip. The Data Inspector helped the operator to confirm the battery alert in time and to take action before the next departure of the train, avoiding any delays or failures.

For a short explanation on how telematic data is collected and what type of information is available, please refer to the article Functional description of telematic data.

Did this answer your question?