Trimble Rail Solutions

The company’s wayside monitoring solutions can be used to detect faults as a method of preventative maintenance. Automated analysis of individual component data can help prevent faults developing into system failures and allow for maintenance to be planned without causing a major impact on service.

This helps minimise the number of failures across the railway network and enables efficient maintenance to be planned ahead rather than emergency repair works.

Trimble Beena Vision solutions enable time-efficient and cost-effective maintenance that is more accurate than manual monitoring methods. The lifespan of expensive railway components such as wheelsets can be optimised, with more accurate expected long-term maintenance costs by using Trimble’s range of monitoring solutions.

Rolling stock component and track inspection and measurement

The WheelView automatic wayside system is designed to measure wheel profiles of moving trains to prevent derailing, increase the efficiency of wheel maintenance by identifying proactive maintenance practices, and reduce rail damage from worn wheels.

TreadView is an optical wheel surface inspection system that automatically assesses train wheel tread surface, flanges and plates without contact while the train is operating at normal speed.

Trimble’s BrakeView automatic wayside vision-based system measures and checks brakes at mainline track speed using multi-camera fast digital imaging.

TruckView operates on trains at normal speed to monitor the condition of bogies using vision-based high-speed, high-definition imaging software.

LAHView is a brake air hose inspection device that uses the same high-speed imaging technology to capture air hose systems on trains during normal operations.

Coupler securement mechanisms are assessed with digital line scanning using Trimble’s CouplerView to ensure there are no defects. The Trimble CSCView solution generates high-quality images of the train undercarriage structure that are suitable for inspection.

Vision-based train inspection and measurement

TrainView is used for full-scale imaging of trains, featuring a number of line cameras and area devices that take high-resolution images to review overall condition.

Trimble’s PantoView system for automatic inspection of pantograph carbon strips can be deployed in depots, as well as the mainline.

The AOAView system is installed between the railway tie to measure the wheel angle-of-attack. The system can be integrated with automatic equipment identification used on railways across North America to identify and report on vehicle faults.

Trimble’s Wayside Inspection System Environment (WISE) software is a condition monitoring data management platform that provides a unified environment for data from trackside detectors.

TrainWatch is a powerful virtual train inspection portal that provides a comprehensive platform for train inspectors to assess a full train using data gathered by wayside equipment.

Infrastructure inspection and measurement software for railways

Trimble Beena Vision vehicle-based rail monitoring systems give real-time infrastructure status information that is required to manage infrastructure rail assets more intelligently and increase efficiency.

TrackView-Profile measures the profile and geometry of the railway using a number of cameras and lasers. These provide images of the track and reconstruct its profile. SurfView monitors and inspects the railway track’s surface. It is installed on a railway carriage and scans the track according to the required resolution.

Real-time rail fleet diagnostic solutions

On-train sensors and Cloud-based software are used in Trimble Nexala solutions to process diagnostic data in real-time.

Rule engines automate data processing, monitoring sensor data, and firing alerts that can be actioned. Users can create and define rules for anything being monitored to suit the fleet.

Real-time remote diagnostics provide savings for engineering, maintenance, and fleet operations managers to optimise maintenance programmes, increase asset utilisation and improve fleet management.

The R2M system delivers a complete status overview for the whole fleet, including specific faults and areas that may need maintenance.

Key component condition monitoring is performed by the C2M system. It reports identified defects and wear, as well as automating maintenance schedules.

Rail industry approved, the on-board NCU control unit is ideal for condition monitoring. It is capable of linking a range of train signals and systems.

Trimble’s CAS solution is an on-board advisory system that allows drivers to view their train’s performance and remain on schedule.

Rail asset maintenance management system

Effective engineering rail asset maintenance management using the Trimble E2M solution allows a train operating company to plan and manage an effective maintenance plan.

E2M unifies data for maintenance management to reduce data silos, as well as increasing collaboration within the maintenance team.

In-service railway performance planning and management

The P2M system is used when the railway is in-service to collect timetable, vehicle location and real-time diagnostic data to monitor performance and ensure that trains are operating on schedule.

Trimble P2M and Trimble CAS Cab Advisory systems allow for energy and fuel efficiency to be optimised through journey planning and increased driver awareness, which assists in assessing their performance.

Both systems are designed to deliver in-service recommendations to train operators when a failure occurs to minimise delays and financial implications.

About Trimble Rail Solutions

Trimble acquired Irish data aggregation and analytics company Nexala in 2014. The Dublin-based company provides analysis tools for railway engineering and rolling stock. Trimble also acquired US firm Beena Vision in 2017, which manufactures vision-based automatic railway inspection solutions.

Clients worldwide use Trimble products, including South Western Railway, Eurostar, SNCF, Irish Rail, Siemens, Arrive, Greater Anglia, BNSF, and Aurizon.