AI Configurator for STAR Switching - Compliant with Victron Energy new Venus 3.70- Click to USE

This configurator is all driven by AI and after you place the controllers and join keypads, the system gives you the CAN wiring and configuration
for each controller than the overall wiring schematic. All Done in AI by Safiery.Watch the Video to see how to use first.

RANGE Master AI — Six Layers of Simple, Trustworthy Intelligence for Marine Range

Provisional patent is now lodged. We can now share for DAME judging panel.

We developed an AI model for Range Master predicting the range to go on electric boats. We started training a broad, 50-feature model on the water and quickly learned the real time and cost in training AI models. An estimated 1,500 hours would be needed across several styles of boats. This was impractical for new boats and way out of budget.

We drew on our early experience of machine learning and mathematical modelling with our Scotty AI product. There are three unsolved variables in the empirical formula for “drag” on a boat. If we could solve for these using machine learning on each unique boat, then a “model fit” would give an accurate estimate.

This is what we have done and is the core concept to our provisional patent as there is no prior art. The user of the electric boat is asked to perform 3 deceleration exercises each at increasing boat speed with the highest when the boat is planing. After acknowledgement on the setup page of each exercise, Range Master determines the coefficients for the polynomial formula for drag and calculates the wasted “reactive power” in driving the boat at various speeds. Range-to-Go still requires further calculation of a power value to use to determine time remaining from the battery bank. We do that using a mathematically calculated mean for the current trip which is constantly updating.

However, changes in sea conditions, boat loading and bottom fouling will change the initial drag calculation. We call on AI with much fewer variables to provide updated coefficients. Using a shadow model and a canary process of selective testing, Range master AI promotes the best fit based on delta change of estimated Range-to-Go. AI then predicts and displays on the super bright screen, the Range to Go at different RPM levels to guide the user who wants to spend all day with the tender without recharging.

This profound learning is simple in operation giving reliability without complexity. It also aligns with the next step in tender operation: autonomous workhorse for the boat owner.

Then we layer other AI features like:

• Sound signature of the motor,
• Anchor drift,
• Unauthorized boat entry,
• Restricted speed and range linked to the wrist fob ID (sorry kids),
• Conversational queries using text on location, range to go.

Delivering what every user really wants to know without an App:
Where is it? How long has it been there? Does the tender have enough range for the guests to get back to the boat?

The result is a new era in marine electronics combining electrical values, mathematical modelling and harnessing the multi-modal sensor fusion built into Range Master AI.