AND DIGITAL STORING
CALIPRI Prime is based on laser light section technology. This means that a camera/laser unit in the measurement device records the flange profile of your wheelset without having to manually attach it to the wheel profile. Subsequently, if required, the inspection device software evaluates flange height, thickness and cross dimension (qR) according to pre-set limit values. The measurement result appears on the display and can be securely transferred via a USB cable. Additional functions, such as highlighting exceeded limits in color or an upgrade for hollow tread, rollover and wheel width measurements, are available as add-ons.
RESULTS TAKING CENTER STAGE
ELIMINATES HUMAN ERROR FOR RELIABLE MEASURED VALUES
- Highly accurate measured data
- Tamper-proof data transmission
- Can be recalibrated independently
- Expandable system
CALIPRI Prime ensures user-independent measured values in the micrometer range when inspecting flange wear. Errors in attaching the device or reading the measured values, as with wheel profile wear gages or templates, are a thing of the past. The compact measurement device sits comfortably on your belt and is always available for measurement operations in the pit or on the rails. Depending on your factory specifications, your employees can either manually copy the measured values into an inspection report or securely transfer them via a USB cable.
Calipri measurement devices are approved and used i.a. in Germany (DB), Austria (ÖBB), Switzerland (SBB), France (SNCF), China (Chengdu Railway Bureau) and the Czech Republic (SŽDC).DOWNLOAD DATA SHEET
DID YOU KNOW?
CALIPRI Prime’s “Big Brother” records the complete wheel profile and displays the profile curve on a tablet-pc for further analysis. On top of that, a great number of software modules allow for additional wear inspections of wheelsets and tracks.LEARN MORE
RailLog Korea 2019
Expo Ferroviaria 2019
Nordic Rail 2019
We are happy to help you choose the right solution for your measurement task or take care of any repairs.
FUNDED BY EUROPEAN UNION
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 726903.