
About this episode
- 3:00 what is the Notio aero sensor and what it does
- 6:30 gear that’s fast on one rider at their speed is not necessarily fast on you at your speed
- 8:30 the impact of rider speed on aerodynamic drag
- 14:30 the inspiration behind the creation of the Notio device
- 17:15 the evolution from a full integration sensor to an aero meter
- 20:00 how does it work?
- 21:00 how does Notio assess rolling resistance drag and mechanical drivetrain drag?
- User input for both.
- If precision is important, controlling variables like road conditions, wind, traffic, temperature is key
- Notio will help analyze data for any and all users
- 29:15 Benchmark ride / test:
- ~2km out-and-back,
- software cleans up the aero data and returns a reliable CdA for the run
- Great for multiple passes on the same stretch of road on the same day to test equipment or position changes
- What you can learn from a benchmark ride
- 39:45 Free / training ride:
- Useful for assessing sustainability of a tested position
- Gives you data for the whole ride
- 43:00 limitations of the device in non-zero (side wind) airflow conditions
- 53:45 the challenges of interpreting the data and displaying relevant information to the end user in real time
- 57:30 using machine learning to improve analysis and better predict correct data and weed out errors
- 1:02:30 the possibility of integrating Notio data with other metrics tools on the market
- 1:09:00 the case for club / coach use of the device for testing
- 1:11:00 what’s next for Notio?
To learn more about the Notio Aerometer or to order your very own, check out their website.
To try it for yourself - for those in the Toronto area - send me a note and we'll set up an outdoor wind tunnel session once the Covid-tine has been lifted.
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