TreadView

Wayside Wheel Tread & Surface Inspection System

The Trimble® TreadView® system is a sophisticated automatic non-contact optical wheel surface inspection product that inspects wheel tread surface, flange, and plate areas at mainline operational speeds, even in tough environments, day or night.

This system offers visual inspection of complete wheel tread and flange surface using optical imaging and 3D laser scanning. The objective of the system is to determine any surface abnormalities of the wheel that can be detected using high resolution images of the wheel and high density 3D data of the wheel surface.

Datasheet

  • Flat wheel
  • Shelled and spalled tread
  • Shell size and depth
  • Tread groove
  • Shattered rim
  • Broken/missing wheel sections
  • Broken flange
  • Significant spread rim and vertical split rim
  • Built-up tread
  • Wheel OOR (out-of-round)
  • Hunting detection
  • Back-to-back (axle wheel pacing)
  • Flange height variations around the wheel
  • Rim thickness variations around the wheel
  • Tread hollow variations around the wheel
  • Non-uniform axle wheel wear
  • Major scrapes, dents and gouges
  • Visible substantial fatigue cracks
  • Substantial thermal crack
  • Angle of attack

Dramatic time and cost savings, versus manual inspections

Automate and complete optical wheel surface inspections quicker, minimizing time taken, costs, and issues that disrupt service.

Rolling stock stays in service for longer

With accurate measurements at line speed there is minimal disruption to rolling stock schedules.

Limits risk to personnel, works 24/7, even in tough environments

TreadView works in even the toughest environments and at night so field workers are not in unpleasant or unsafe working conditions thereby reducing the risk to their safety.

Digital accurate records, with automated alerts of issues

Providing digital records that are usable across operations and maintenance TreadView reduces manual and paper-based workflows saving time and money. Critical issues are flagged and reported automatically so that corrective actions can be taken with less impact on service.