规范仿真模型库并完善前端交互

归档仿真模型并补充组件目录、建模规范与校验。

完善控制台、默认节点、视图适配及前端自动化测试。
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from __future__ import annotations
from dataclasses import dataclass, field
from typing import Callable
from app.simulation.components.experimental.flow.orifice import Orifice
from app.simulation.examples.testmodel.dynamic_pipe import Pipe
from app.simulation.components.experimental.junctions.tee import Tee
from app.simulation.components.experimental.storage.cylinder import Cylinder
from app.simulation.components.experimental.storage.tank import Tank
from app.simulation.core.medium import IdealGasMedium, ThermodynamicProperties
from app.simulation.core.state import VolumeState
@dataclass(frozen=True)
class BranchInletFlowDiagnostics:
converged: bool
iterations: int
residual: float
m_flow: float
inlet_pressure: float
@dataclass(frozen=True)
class DownstreamPressureDiagnostics:
converged: bool
iterations: int
residual: float
pressure: float
target_total_internal_energy: float
@dataclass(frozen=True)
class TestModelSolveDiagnostics:
upper_branch_inlet: BranchInletFlowDiagnostics
lower_branch_inlet: BranchInletFlowDiagnostics
downstream_pressure_projection: DownstreamPressureDiagnostics | None
@dataclass(frozen=True)
class BranchClosureComponents:
name: str
orifice: Orifice
pipe: Pipe
@dataclass(frozen=True)
class BranchClosureState:
name: str
pipe: ThermodynamicProperties
inlet_flow: float
outlet_flow: float
inlet_h: float
inlet_flow_diagnostics: BranchInletFlowDiagnostics
@dataclass(frozen=True)
class BranchSnapshot:
name: str
pipe: ThermodynamicProperties
inlet_flow: float
outlet_flow: float
inlet_h: float
inlet_flow_diagnostics: BranchInletFlowDiagnostics
@dataclass(frozen=True)
class TestModelSnapshot:
cylinder: ThermodynamicProperties
tank: ThermodynamicProperties
tee_upstream_h: float
tee_downstream_h: float
branches: tuple[BranchSnapshot, ...] = field(default_factory=tuple)
solve_diagnostics: TestModelSolveDiagnostics | None = None
@property
def pipe_upper(self) -> ThermodynamicProperties:
return self.branches[0].pipe
@property
def pipe_lower(self) -> ThermodynamicProperties:
return self.branches[1].pipe
@property
def branch_inlet_flows(self) -> tuple[float, ...]:
return tuple(branch.inlet_flow for branch in self.branches)
@property
def branch_outlet_flows(self) -> tuple[float, ...]:
return tuple(branch.outlet_flow for branch in self.branches)
@dataclass(frozen=True)
class InitializationDiagnostics:
converged: bool
iterations: int
max_state_delta: float
max_flow_delta: float
max_enthalpy_delta: float
downstream_pressure_spread: float
state_vector: tuple[float, ...]
@dataclass(frozen=True)
class TestModelClosureComponents:
cylinder: Cylinder
upstream_tee: Tee
upper_branch: BranchClosureComponents
lower_branch: BranchClosureComponents
downstream_tee: Tee
tank: Tank
def branches(self) -> tuple[BranchClosureComponents, BranchClosureComponents]:
return (self.upper_branch, self.lower_branch)
class TestModelClosure:
"""Owns Testmodel-specific closure, projection and port-writeback logic."""
def __init__(
self,
*,
medium: IdealGasMedium,
components: TestModelClosureComponents,
initial_state_vector: Callable[[], list[float]],
apply_state_vector: Callable[[list[float]], None],
) -> None:
self.medium = medium
self.components = components
self._initial_state_vector = initial_state_vector
self._apply_state_vector = apply_state_vector
self.last_solve_diagnostics: TestModelSolveDiagnostics | None = None
self.last_downstream_pressure_diagnostics: DownstreamPressureDiagnostics | None = None
@staticmethod
def _downstream_pressure_spread(snapshot: TestModelSnapshot) -> float:
downstream_pressures = tuple(branch.pipe.p for branch in snapshot.branches) + (
snapshot.tank.p,
)
return max(downstream_pressures) - min(downstream_pressures)
@staticmethod
def _initialization_flow_delta(
previous_snapshot: TestModelSnapshot | None,
current_snapshot: TestModelSnapshot,
) -> float:
if previous_snapshot is None:
return max(abs(branch.outlet_flow) for branch in current_snapshot.branches)
return max(
abs(curr - prev)
for curr, prev in zip(
current_snapshot.branch_outlet_flows,
previous_snapshot.branch_outlet_flows,
)
)
@staticmethod
def _initialization_enthalpy_delta(
previous_snapshot: TestModelSnapshot | None,
current_snapshot: TestModelSnapshot,
) -> float:
if previous_snapshot is None:
return abs(current_snapshot.tee_downstream_h - current_snapshot.tank.h)
return max(
abs(current_snapshot.tee_upstream_h - previous_snapshot.tee_upstream_h),
abs(current_snapshot.tee_downstream_h - previous_snapshot.tee_downstream_h),
)
def consistent_initial_state_vector(self) -> list[float]:
return list(self.initialize_consistent_state().state_vector)
def initialize_consistent_state(
self,
max_iterations: int = 12,
state_tolerance: float = 1e-9,
flow_tolerance: float = 1e-9,
enthalpy_tolerance: float = 1e-6,
pressure_tolerance: float = 1e-6,
strict_internal_solvers: bool = False,
) -> InitializationDiagnostics:
raw_state = self._initial_state_vector()
previous_snapshot: TestModelSnapshot | None = None
diagnostics: InitializationDiagnostics | None = None
for iteration in range(1, max_iterations + 1):
state_before_projection = self._initial_state_vector()
self.snapshot(state_before_projection, strict=strict_internal_solvers)
self.project_downstream_pressure_constraints(strict=strict_internal_solvers)
state_after_projection = self._initial_state_vector()
snapshot_after_projection = self.snapshot(
state_after_projection,
strict=strict_internal_solvers,
)
max_state_delta = max(
abs(after - before)
for before, after in zip(state_before_projection, state_after_projection)
)
max_flow_delta = self._initialization_flow_delta(
previous_snapshot,
snapshot_after_projection,
)
max_enthalpy_delta = self._initialization_enthalpy_delta(
previous_snapshot,
snapshot_after_projection,
)
downstream_pressure_spread = self._downstream_pressure_spread(
snapshot_after_projection,
)
diagnostics = InitializationDiagnostics(
converged=(
max_state_delta <= state_tolerance
and max_flow_delta <= flow_tolerance
and max_enthalpy_delta <= enthalpy_tolerance
and downstream_pressure_spread <= pressure_tolerance
),
iterations=iteration,
max_state_delta=max_state_delta,
max_flow_delta=max_flow_delta,
max_enthalpy_delta=max_enthalpy_delta,
downstream_pressure_spread=downstream_pressure_spread,
state_vector=tuple(state_after_projection),
)
previous_snapshot = snapshot_after_projection
if diagnostics.converged:
self._apply_state_vector(raw_state)
return diagnostics
assert diagnostics is not None
self._apply_state_vector(raw_state)
return diagnostics
def _solve_branch_inlet_flow(
self,
orifice: Orifice,
pipe: Pipe,
p_upstream: float,
pipe_props: ThermodynamicProperties,
*,
strict: bool = False,
) -> tuple[float, BranchInletFlowDiagnostics]:
m_flow = orifice.mass_flow(p_upstream, pipe_props.p)
rho = max(pipe_props.rho, 1e-9)
p_inlet = pipe.inlet_pressure(m_flow, rho, pipe_props.p)
residual = abs(orifice.mass_flow(p_upstream, p_inlet) - m_flow)
converged = False
iterations = 0
for iteration in range(1, 9):
p_inlet = pipe.inlet_pressure(m_flow, rho, pipe_props.p)
next_m_flow = orifice.mass_flow(p_upstream, p_inlet)
residual = abs(next_m_flow - m_flow)
iterations = iteration
if residual <= 1e-9 * max(1.0, abs(next_m_flow)):
m_flow = next_m_flow
converged = True
break
m_flow = next_m_flow
diagnostics = BranchInletFlowDiagnostics(
converged=converged,
iterations=iterations,
residual=residual,
m_flow=m_flow,
inlet_pressure=p_inlet,
)
if strict and not diagnostics.converged:
raise RuntimeError(
f"Branch inlet flow solve did not converge for {pipe.name}: residual={residual:.6e}"
)
return m_flow, diagnostics
def _solve_downstream_branch_flows(
self,
cylinder: ThermodynamicProperties,
tank: ThermodynamicProperties,
branch_states: tuple[BranchClosureState, BranchClosureState],
) -> tuple[float, float]:
return self._solve_downstream_branch_flows_from_state(
inlet_h_upper=branch_states[0].inlet_h,
inlet_h_lower=branch_states[1].inlet_h,
pipe_upper_h=max(branch_states[0].pipe.h, 1e-9),
pipe_lower_h=max(branch_states[1].pipe.h, 1e-9),
tank_h=max(tank.h, 1e-9),
q_in_upper=branch_states[0].inlet_flow,
q_in_lower=branch_states[1].inlet_flow,
)
def _project_volume_energy_to_pressure(
self,
component: Pipe | Tank,
target_pressure: float,
) -> None:
target_temperature = target_pressure * component.V / (
max(component.state.m, 1e-12) * self.medium.R_gas
)
target_internal_energy = (
component.state.m * self.medium.specific_internal_energy(target_temperature)
)
component.state = VolumeState(m=component.state.m, U=target_internal_energy)
def _downstream_total_internal_energy_for_pressure(
self,
target_pressure: float,
downstream_components: tuple[Pipe | Tank, ...],
) -> float:
total_internal_energy = 0.0
for component in downstream_components:
target_temperature = target_pressure * component.V / (
max(component.state.m, 1e-12) * self.medium.R_gas
)
total_internal_energy += (
component.state.m * self.medium.specific_internal_energy(target_temperature)
)
return total_internal_energy
def _solve_downstream_common_pressure(
self,
downstream_components: tuple[Pipe | Tank, ...],
target_total_internal_energy: float,
*,
strict: bool = False,
) -> tuple[float, DownstreamPressureDiagnostics]:
lower_pressure = 1.0
upper_pressure = max(component.properties().p for component in downstream_components)
upper_pressure = max(upper_pressure, 1e5)
def residual(pressure: float) -> float:
return (
self._downstream_total_internal_energy_for_pressure(
pressure,
downstream_components,
)
- target_total_internal_energy
)
upper_residual = residual(upper_pressure)
iteration_count = 0
while upper_residual < 0.0:
upper_pressure *= 2.0
upper_residual = residual(upper_pressure)
final_pressure = 0.5 * (lower_pressure + upper_pressure)
final_residual = residual(final_pressure)
converged = False
for iteration in range(1, 81):
middle_pressure = 0.5 * (lower_pressure + upper_pressure)
middle_residual = residual(middle_pressure)
iteration_count = iteration
final_pressure = middle_pressure
final_residual = middle_residual
if abs(middle_residual) <= 1e-12 * max(1.0, target_total_internal_energy):
converged = True
break
if middle_residual > 0.0:
upper_pressure = middle_pressure
else:
lower_pressure = middle_pressure
diagnostics = DownstreamPressureDiagnostics(
converged=converged,
iterations=iteration_count,
residual=final_residual,
pressure=final_pressure,
target_total_internal_energy=target_total_internal_energy,
)
if strict and not diagnostics.converged:
raise RuntimeError(
"Downstream common-pressure solve did not converge: "
f"residual={final_residual:.6e}"
)
return final_pressure, diagnostics
def project_downstream_pressure_constraints(self, *, strict: bool = False) -> None:
downstream_components = (
self.components.upper_branch.pipe,
self.components.lower_branch.pipe,
self.components.tank,
)
total_internal_energy = sum(component.state.U for component in downstream_components)
common_pressure, diagnostics = self._solve_downstream_common_pressure(
downstream_components,
total_internal_energy,
strict=strict,
)
self.last_downstream_pressure_diagnostics = diagnostics
for component in downstream_components:
self._project_volume_energy_to_pressure(component, common_pressure)
def _downstream_connection_enthalpy(
self,
q_out_upper: float,
q_out_lower: float,
pipe_upper_h: float,
pipe_lower_h: float,
tank_h: float,
) -> float:
return self.components.downstream_tee.inlet_stream_enthalpy(
q_out_lower,
pipe_lower_h,
q_out_upper,
pipe_upper_h,
fallback_h=tank_h,
)
def _solve_downstream_branch_flows_from_state(
self,
*,
inlet_h_upper: float,
inlet_h_lower: float,
pipe_upper_h: float,
pipe_lower_h: float,
tank_h: float,
q_in_upper: float,
q_in_lower: float,
) -> tuple[float, float]:
return self.components.downstream_tee.solve_branch_outlet_flows_from_energy_balance(
ratio_branch1=self.components.upper_branch.pipe.V / self.components.tank.V,
ratio_branch2=self.components.lower_branch.pipe.V / self.components.tank.V,
inlet_h_branch1=inlet_h_upper,
inlet_h_branch2=inlet_h_lower,
branch1_h=pipe_upper_h,
branch2_h=pipe_lower_h,
inlet_h=tank_h,
q_in_branch1=q_in_upper,
q_in_branch2=q_in_lower,
)
def _evaluate_branch_states(
self,
cylinder: ThermodynamicProperties,
) -> tuple[BranchClosureState, BranchClosureState]:
states: list[BranchClosureState] = []
for branch in self.components.branches():
pipe_properties = branch.pipe.properties()
inlet_flow, inlet_flow_diagnostics = self._solve_branch_inlet_flow(
branch.orifice,
branch.pipe,
cylinder.p,
pipe_properties,
)
inlet_h = branch.pipe.port_a_inlet_enthalpy(
port_a_m_flow=inlet_flow,
connected_h=cylinder.h,
internal_h=pipe_properties.h,
)
states.append(
BranchClosureState(
name=branch.name,
pipe=pipe_properties,
inlet_flow=inlet_flow,
outlet_flow=0.0,
inlet_h=inlet_h,
inlet_flow_diagnostics=inlet_flow_diagnostics,
)
)
return (states[0], states[1])
@staticmethod
def _with_branch_outlet_flows(
branch_states: tuple[BranchClosureState, BranchClosureState],
outlet_flows: tuple[float, float],
) -> tuple[BranchClosureState, BranchClosureState]:
return (
BranchClosureState(
name=branch_states[0].name,
pipe=branch_states[0].pipe,
inlet_flow=branch_states[0].inlet_flow,
outlet_flow=outlet_flows[0],
inlet_h=branch_states[0].inlet_h,
inlet_flow_diagnostics=branch_states[0].inlet_flow_diagnostics,
),
BranchClosureState(
name=branch_states[1].name,
pipe=branch_states[1].pipe,
inlet_flow=branch_states[1].inlet_flow,
outlet_flow=outlet_flows[1],
inlet_h=branch_states[1].inlet_h,
inlet_flow_diagnostics=branch_states[1].inlet_flow_diagnostics,
),
)
@staticmethod
def _branch_snapshots(
branch_states: tuple[BranchClosureState, BranchClosureState],
) -> tuple[BranchSnapshot, BranchSnapshot]:
return (
BranchSnapshot(
name=branch_states[0].name,
pipe=branch_states[0].pipe,
inlet_flow=branch_states[0].inlet_flow,
outlet_flow=branch_states[0].outlet_flow,
inlet_h=branch_states[0].inlet_h,
inlet_flow_diagnostics=branch_states[0].inlet_flow_diagnostics,
),
BranchSnapshot(
name=branch_states[1].name,
pipe=branch_states[1].pipe,
inlet_flow=branch_states[1].inlet_flow,
outlet_flow=branch_states[1].outlet_flow,
inlet_h=branch_states[1].inlet_h,
inlet_flow_diagnostics=branch_states[1].inlet_flow_diagnostics,
),
)
def snapshot(
self,
state_vector: list[float] | None = None,
*,
strict: bool = False,
) -> TestModelSnapshot:
if state_vector is not None:
self._apply_state_vector(list(state_vector))
cylinder = self.components.cylinder.properties()
tank = self.components.tank.properties()
branch_states = self._evaluate_branch_states(cylinder)
if strict:
for branch_state in branch_states:
if not branch_state.inlet_flow_diagnostics.converged:
raise RuntimeError(
"Branch inlet flow solve did not converge for "
f"{branch_state.name}: residual="
f"{branch_state.inlet_flow_diagnostics.residual:.6e}"
)
outlet_flows = self._solve_downstream_branch_flows(cylinder, tank, branch_states)
branch_states = self._with_branch_outlet_flows(branch_states, outlet_flows)
tee_upstream_h = self.components.upstream_tee.inlet_stream_enthalpy(
-branch_states[0].inlet_flow,
branch_states[0].pipe.h,
-branch_states[1].inlet_flow,
branch_states[1].pipe.h,
fallback_h=cylinder.h,
)
tee_downstream_h = self._downstream_connection_enthalpy(
branch_states[0].outlet_flow,
branch_states[1].outlet_flow,
branch_states[0].pipe.h,
branch_states[1].pipe.h,
tank.h,
)
self._write_port_states(
cylinder,
tank,
branch_states,
tee_upstream_h,
tee_downstream_h,
)
solve_diagnostics = TestModelSolveDiagnostics(
upper_branch_inlet=branch_states[0].inlet_flow_diagnostics,
lower_branch_inlet=branch_states[1].inlet_flow_diagnostics,
downstream_pressure_projection=self.last_downstream_pressure_diagnostics,
)
self.last_solve_diagnostics = solve_diagnostics
branch_snapshots = self._branch_snapshots(branch_states)
return TestModelSnapshot(
cylinder=cylinder,
tank=tank,
tee_upstream_h=tee_upstream_h,
tee_downstream_h=tee_downstream_h,
branches=branch_snapshots,
solve_diagnostics=solve_diagnostics,
)
def _write_port_states(
self,
cylinder: ThermodynamicProperties,
tank: ThermodynamicProperties,
branch_states: tuple[BranchClosureState, BranchClosureState],
tee_upstream_h: float,
tee_downstream_h: float,
) -> None:
cylinder_m_flow = -sum(branch_state.inlet_flow for branch_state in branch_states)
tank_m_flow = sum(branch_state.outlet_flow for branch_state in branch_states)
self.components.cylinder.port_b.m_flow = cylinder_m_flow
self.components.upstream_tee.port_in.p = cylinder.p
self.components.upstream_tee.port_out1.p = cylinder.p
self.components.upstream_tee.port_out2.p = cylinder.p
self.components.upstream_tee.port_in.m_flow = -cylinder_m_flow
self.components.upstream_tee.port_in.h_outflow = tee_upstream_h
self.components.upstream_tee.port_out1.h_outflow = cylinder.h
self.components.upstream_tee.port_out2.h_outflow = cylinder.h
self.components.upstream_tee.port_out1.m_flow = -branch_states[0].inlet_flow
self.components.upstream_tee.port_out2.m_flow = -branch_states[1].inlet_flow
for branch_components, branch_state in zip(self.components.branches(), branch_states):
branch_components.orifice.port_a.p = cylinder.p
branch_components.orifice.port_b.p = branch_components.pipe.inlet_pressure(
branch_state.inlet_flow,
max(branch_state.pipe.rho, 1e-9),
branch_state.pipe.p,
)
branch_components.orifice.port_a.m_flow = branch_state.inlet_flow
branch_components.orifice.port_b.m_flow = -branch_state.inlet_flow
branch_components.orifice.port_a.h_outflow = cylinder.h
branch_components.orifice.port_b.h_outflow = branch_state.pipe.h
branch_components.pipe.port_a.p = branch_components.orifice.port_b.p
branch_components.pipe.port_a.m_flow = branch_state.inlet_flow
branch_components.pipe.port_b.m_flow = -branch_state.outlet_flow
branch_components.pipe.port_b.p = branch_state.pipe.p
self.components.downstream_tee.port_in.p = tank.p
self.components.downstream_tee.port_out1.p = tank.p
self.components.downstream_tee.port_out2.p = tank.p
self.components.downstream_tee.port_in.m_flow = -tank_m_flow
self.components.downstream_tee.port_out1.m_flow = branch_states[1].outlet_flow
self.components.downstream_tee.port_out2.m_flow = branch_states[0].outlet_flow
self.components.downstream_tee.port_in.h_outflow = tee_downstream_h
self.components.downstream_tee.port_out1.h_outflow = tank.h
self.components.downstream_tee.port_out2.h_outflow = tank.h
self.components.tank.port_a.m_flow = tank_m_flow
def _branch_derivative_states(
self,
snapshot: TestModelSnapshot,
) -> tuple[VolumeState, VolumeState]:
derivative_states: list[VolumeState] = []
for branch_components, branch_snapshot in zip(self.components.branches(), snapshot.branches):
derivative_states.append(
branch_components.pipe.derivatives_from_connections(
port_a_m_flow=branch_snapshot.inlet_flow,
connected_h_a=snapshot.cylinder.h,
port_b_m_flow=-branch_snapshot.outlet_flow,
connected_h_b=snapshot.tank.h,
internal_h=branch_snapshot.pipe.h,
)
)
return (derivative_states[0], derivative_states[1])
def rhs(self, state_vector: list[float]) -> list[float]:
snapshot = self.snapshot(state_vector)
cylinder_m_flow = -sum(branch.inlet_flow for branch in snapshot.branches)
tank_m_flow = sum(branch.outlet_flow for branch in snapshot.branches)
d_cylinder = self.components.cylinder.derivatives_from_connection(
connected_h=snapshot.tee_upstream_h,
port_m_flow=cylinder_m_flow,
internal_h=snapshot.cylinder.h,
)
branch_derivatives = self._branch_derivative_states(snapshot)
d_tank = self.components.tank.derivatives_from_connection(
connected_h=snapshot.tee_downstream_h,
port_m_flow=tank_m_flow,
internal_h=snapshot.tank.h,
)
return [
d_cylinder.m,
d_cylinder.U,
branch_derivatives[0].m,
branch_derivatives[0].U,
branch_derivatives[1].m,
branch_derivatives[1].U,
d_tank.m,
d_tank.U,
]