Understanding Classifications

In RUFUS Race Manager (RRM), classifications are generated dynamically each time they are requested. This approach allows for significant flexibility when managing the timing data of participants. Unlike fixed classification methods, where results are locked in after processing, RRM's system continuously adapts to changes, ensuring that results remain accurate and reflective of the most up-to-date information.

This workflow provides a number of benefits:

• Modifications Without Reprocessing: Users can modify participants' information, add or delete passings, or adjust the race's start time without permanently affecting the original data. As passings are always stored with their original timestamps intact, the system recalculates the classifications when needed, ensuring that any changes are properly accounted for without altering the core data.

• Error Correction: Because classifications are recalculated upon request, this allows users to easily correct mistakes, add missing timing points, or validate passings without having to manually regenerate entire sets of results.

Role of Segments and Checkpoints

Classifications are heavily dependent on segments and checkpoints defined for each race. A segment is typically defined from the START to the FINISH, but multiple intermediate segments can also be set up. Each segment plays a role in calculating specific times for participants, such as lap times or transition times in multi-discipline events like triathlons.

Checkpoints mark the locations where passings are recorded. As participants cross a checkpoint, the timing devices record the passings, and these are used to calculate the racetimes for each segment and to generate the overall classification for the event. Each checkpoint and segment needs to be accurately configured to ensure that classifications are meaningful and accurate.

By calculating classifications in real-time upon request, RRM provides a flexible and responsive approach to race timing, allowing for last-minute changes, manual data adjustments, and optimal accuracy in final results.