Description
Multiply nonnegative speedKnots by intervalSeconds and divide by 3600 for distanceNauticalMiles.
Marine speed, thrust, and propeller ratios depend on a declared reference frame and coherent units. A scalar term usually describes only one part of vessel performance.
Multiply nonnegative speedKnots by intervalSeconds and divide by 3600 for distanceNauticalMiles.
When to use this tool
Use Knot Speed Log Interval Distance when you need one explicit marine performance ratio or residual.
How to use the tool and how it works
- Enter speedKnots, intervalSeconds. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read distanceNauticalMiles. Use the output convention below.
Multiply nonnegative speedKnots by intervalSeconds and divide by 3600 for distanceNauticalMiles.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| speedKnots | Speed Knots | Required. Finite number; minimum 0. |
| intervalSeconds | Interval Seconds | Required. Finite number; minimum 0. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| distanceNauticalMiles | Distance Nautical Miles | Required. Finite number. |
{
"input": {
"speedKnots": 12,
"intervalSeconds": 900
},
"output": {
"distanceNauticalMiles": 3
}
} Limitations and assumptions
- Assumes the supplied speed represents the whole interval; currents, acceleration, course changes, and navigation accuracy are not modeled.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Use measured operating data and a vessel-specific propulsion model for performance predictions.
References
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