Better cook parameter estimation + Defrost mode + Removed esp-wifi debugs + Orchestrator and microwave exchange
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This commit is contained in:
2026-07-27 17:14:05 +02:00
parent 81de985580
commit 0f17e9dce6
9 changed files with 335 additions and 64 deletions
+49 -18
View File
@@ -4,23 +4,25 @@ from typing import Dict, Any, Optional
@dataclass
class DishThermalState:
food_name: str
macronutrients: Dict[str, float] # grams of water, fat, protein, carbs
macronutrients: Dict[str, float]
estimated_mass_g: float
initial_temp_c: float
volume_cm3: Optional[float] = None
class MicrowaveThermalEngine:
"""Calculates cook parameters based on physical properties"""
DEFAULT_EFFICIENCY = 0.70 # ~70% magnetron efficiency
TARGET_TEMP_C = 74.0 # Safe food temperature
COOK_TARGET_TEMP_C = 74.0 # Safe food temp for cooking/reheating
DEFROST_TARGET_TEMP_C = 4.0 # Chilled state target for defrosting
LATENT_HEAT_ICE_J_G = 334.0 # Joules required to melt 1g of ice to water
@staticmethod
def estimate_specific_heat(macros: Dict[str, float], total_weight_g: float) -> float:
"""Estimates Cp in J/(g*C) based on macro composition"""
if total_weight_g <= 0:
return 3.5 # Fallback average for mixed meals
return 3.5
w_water = macros.get("water_g", total_weight_g * 0.7) / total_weight_g
w_protein = macros.get("protein_g", 0.0) / total_weight_g
w_fat = macros.get("fat_g", 0.0) / total_weight_g
@@ -28,25 +30,54 @@ class MicrowaveThermalEngine:
return (4.184 * w_water) + (1.71 * w_protein) + (1.67 * w_fat) + (1.42 * w_carbs)
def calculate_cook_plan(self, state: DishThermalState, microwave_wattage: int) -> Dict[str, Any]:
def calculate_cook_plan(
self, state: DishThermalState, microwave_wattage: int, defrost_mode: bool
) -> Dict[str, Any]:
cp = self.estimate_specific_heat(state.macronutrients, state.estimated_mass_g)
delta_t = max(0.0, self.TARGET_TEMP_C - state.initial_temp_c)
# Q = m * c_p * delta_t
label = state.food_name.lower()
# Set target temperature based on selected mode
target_temp = self.DEFROST_TARGET_TEMP_C if defrost_mode else self.COOK_TARGET_TEMP_C
delta_t = max(0.0, target_temp - state.initial_temp_c)
# 1. Base thermal energy: Q_sensible = m * c_p * delta_t
required_joules = state.estimated_mass_g * cp * delta_t
effective_power_watts = microwave_wattage * self.DEFAULT_EFFICIENCY
total_seconds = required_joules / effective_power_watts if effective_power_watts > 0 else 0
# Determine duty cycle / power level recommendations
power_level = 100
if state.initial_temp_c < 0: # Frozen food requires defrost cycle to prevent edge-cooking
power_level = 50
total_seconds *= 1.4
# 2. Account for Phase Change (Ice -> Water) if food starts below 0°C
if state.initial_temp_c < 0:
water_g = state.macronutrients.get("water_g", state.estimated_mass_g * 0.7)
latent_energy_joules = water_g * self.LATENT_HEAT_ICE_J_G
required_joules += latent_energy_joules
# 3. Determine power level and duty cycle based on mode
if defrost_mode:
# Defrost mode strictly runs low power (30%) to allow heat conduction
power_level = 30 if "bread" in label or "baked" in label else 40
time_factor = 1.1 # Slight padding for thermal conductivity losses
else:
# Cook / Reheat Mode logic
if state.initial_temp_c < 0:
# Cooking from frozen needs lower power to defrost first, then cook
power_level = 50
time_factor = 1.35
elif state.estimated_mass_g > 350 and not any(w in label for w in ["soup", "beverage", "water", "tea"]):
power_level = 70
time_factor = 1.2
elif any(w in label for w in ["cheese", "cream", "sauce", "butter", "egg"]):
power_level = 60
time_factor = 1.25
else:
power_level = 100
time_factor = 1.0
# Effective power delivered to food
effective_power_watts = microwave_wattage * self.DEFAULT_EFFICIENCY * (power_level / 100.0)
total_seconds = (required_joules / effective_power_watts * time_factor) if effective_power_watts > 0 else 0
return {
"cook_time_seconds": round(total_seconds),
"recommended_power_level_pct": power_level,
"target_temp": target_temp,
"estimated_specific_heat": round(cp, 2),
"energy_joules": round(required_joules)
}