Algorithms¶
Most of the DecoTengu calculations, i.e. dive descent or tissue saturation during various phases of a dive, are performed using quite simple algorithms.
The complexity arises when ascent phase of a dive has to be calculated. The ascent algorithm has to take into account
no decompression limits
gas mix switches during no-decompression ascent and at decompression stops
depth of first decompression stop
time length of each decompression stop
In this section, three algorithms are described
ascent from the bottom to the surface while executing gas mix switches and performing decompression stops
finding depth of first decompression stop
finding time length of a decompression stop
Obviously, the last two algorithms are used by the very first one.
Ascent to Surface¶
The algorithm calulcates dive steps required to ascent from current depth to the surface.
The ascent involves
check if dive is NDL dive
ascent without decompression stops
ascent performing decompression stops
gas mix switches
A dive is NDL dive if it is possible to ascend from the bottom depth to the surface using bottom gas mix and without executing decompression stops.
Ascent is divided into ascent stages using gas mix switch depths. There are two types of ascent stages
free ascent stage, which involves no decompression stops
decompression ascent stage, which is ascent executing decompression stops
Ascent is performed from current depth to target depth
current depth is the bottom depth or depth of last gas mix switch (stage.depth is current depth and stage.gas is last gas mix; stage.gas can be bottom gas mix or decompression gas mix)
target depth (stage.target) can be depth of next gas mix switch or the surface
Current depth of first free ascent stage is bottom depth. Current depth of each of the rest free ascent stages is rounded down to depth divisible by 3, i.e. 22m to 21m. Target depth of free ascent stage is rounded up to depth divisible by 3, i.e. 22m to 24m. If gas mix switch depth is at depth divisible by 3, the gas mix switch is performed in one dive step. Otherwise, it is done in three dive steps
ascent from stage.depth to gas mix switch depth, i.e. 24m to 22m
gas mix switch, i.e. at 22m
ascent to next depth divisible by 3, i.e. from 22m to 21m
Target depth of decompression ascent stage is rounded down to depth divisible by 3, i.e. 10m to 9m. No gas mix switch is done at depths between decompression stops - it is not practical. Gas mix switch is performed at the very beginning of a decompression stop.
The purpose of the above current and target depths restrictions for free ascent and decompression ascent stages is to
enable gas mix switch at any depth without violating ascent ceiling (free ascent only), which can happen when gas mix switch is near first decompression stop
not breach PPO2 limit of a gas mix (in implicit way, implied by depth of gas mix switch)
The ascent to surface algorithm is
Let \(steps = []\).
If dive is NDL dive
Let step be ascent dive step from bottom depth to the surface and steps.append(step).
Return steps.
Let stages be free ascent stages.
For each stage in stages
If not first stage
Let gas_steps be gas mix switch dive steps.
If any of dive steps in gas_steps results in violating ascent ceiling, break the loop.
Otherwise steps.extend(gas_steps).
Find absolute pressure of depth of first decompression stop. Search between stage.depth and stage.target.
If found, let step be ascent dive step from stage.depth to depth of first decompression stop and steps.append(step) and break loop.
If not found, let step be ascent dive step from stage.depth to stage.target and steps.append(step).
If in decompression zone already, break loop.
Let stages be decompression ascent stages.
For each stage in stages
If stage.gas not bottom gas mix, let step be gas mix switch dive step and steps.append(step).
Let stops be decompression stops between stage.depth (inclusive) and stage.target (exclusive).
For each stop in stops
Find time length \(t\) of decompression stop.
Let step be decompression dive step lasting for time \(t\) and steps.append(step).
Let step be ascent dive step to next decompression stop or the surface and steps.append(step).
Return steps.
The algorithm is implemented by decotengu.Engine._dive_ascent()
method.
Finding First Decompression Stop¶
The algorithm finding first decompression stop calculates absolute pressure of first decompression stop. The first decompression stop is at shallowest depth, which is outside dive decompression zone. The stop is at depth divisible by 3, it is measured in meters and its absolute pressure is measured in bars.
We use ascent ceiling method of decompression model to calculate first decompression stop candidate and then ascend to the depth of the candidate. This is repeated while current depth is deeper than ascent ceiling. This works, because ascent ceiling limit is rounded up to be value divisble by 3.
If we observe ascent ceiling to be within 3m, then we stop ascending. The consequence is that the algorithm calculates deeper first decompression stop comparing to binary search algorithm. For example, if current depth is at 21m and ascent ceiling is at 18.01m, then the stop is at 21m. But during ascent to 18.01m, depending on ascent rate and breathed gas mix configuration, the ceiling could change to be shallower than 18m, i.e. 17.9m. The binary search algorithm calculates the stop at 18m in such situation.
The algorithm finding first decompression stop is
Let \(p\) be current depth.
Let \(p_t\) be target depth.
Let \(p_l\) be depth of current ceiling limit.
Let \(p_l = ceil(p_l / 3) * 3\).
Let \(p_l = max(p_t, p_l)\).
If \(p > p_l\) and \(p > p_t\) then \(p = p_l\) and jump to (3) above.
Else if \(p_l > p_t\), then \(p_l\) is the depth of first decompression stop.
Else no decompression stop found.
The algorithm is implemented by decotengu.Engine._find_first_stop()
method.
Finding Length of Decompression Stop¶
The algorithm calculates time length of decompression stop, which is the time a diver should remain at depth of the stop before moving to the next stop to avoid decompression sickness. The time is measured in minutes.
The algorithm tries multiple decompression time values and checks if ascent to next decompression stop is possible after proposed time. The smallest time value, after which the ascent is possible, is the solution of the algorithm.
The initial range of time values is found using linear search and then narrowed to the exact value with binary search. We assume knowledge of these two search algorithms.
The check if ascent to next decompression stop is possible is performed with the following steps
simulate stay at depth of decompression stop for proposed time value
check if ascent ceiling is at depth or shallower than depth of next stop
The algorithm finding length of decompression stop is
Let start of initial range \(t_s = 0\).
Let width of initial range \(dt = 64\).
Using linear search find initial range \((t_s, t_s + dt)\), such that ascent to next decompression stop
Is not possible after time \(t_s\).
And is possible after time \(t_s + dt\).
Let decompression stop time length \(t = t_s\).
Let binary search range be initial range \((t_s, t_s + dt)\).
Using binary search find smallest time value \(t\), such that \(t_s < t \le t_s + dt\) and ascent to next decompression stop is possible.
Return \(t\).
The complexity of the algorithm is \(O(n / 64 + log(n))\), where \(n = t\). It depends on the complexity of linear search and binary search algorithms.
The algorithm is implemented within decotengu.Engine._deco_stop()
method.