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83459923e8
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83459923e8 | ||
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b4b99daead | ||
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d44ba8b6cd | ||
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71e8f2a451 |
@@ -1,5 +1,5 @@
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[bumpversion]
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current_version = 0.0.8
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current_version = 0.0.9
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commit = True
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tag = True
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tag_name = v{new_version}
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1
.gitignore
vendored
1
.gitignore
vendored
@@ -1,6 +1,7 @@
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# ================================
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# Python-related files
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# ================================
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elevator_saga/traffic/test_cases.py
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# Compiled Python files
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__pycache__/
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@@ -65,6 +65,8 @@ Response format:
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"passengers": [101, 102],
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"max_capacity": 10,
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"run_status": "constant_speed",
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"energy_consumed": 38.5,
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"energy_rate": 1.0,
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"..."
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}
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],
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@@ -81,7 +83,8 @@ Response format:
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"avg_wait": 15.2,
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"p95_wait": 30.0,
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"avg_system": 25.5,
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"p95_system": 45.0
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"p95_system": 45.0,
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"total_energy_consumption": 156.0
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}
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}
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@@ -28,7 +28,9 @@ Features
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🔌 **Client-Server Model**: Separate simulation server from control logic for clean architecture
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📊 **Performance Metrics**: Track wait times, system times, and completion rates
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📊 **Performance Metrics**: Track wait times, system times, completion rates, and energy consumption
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⚡ **Energy Tracking**: Monitor and optimize energy consumption with configurable per-elevator energy rates
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🎯 **Flexible Control**: Implement your own algorithms using a simple controller interface
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@@ -128,6 +128,7 @@ Complete state information for an elevator:
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indicators: ElevatorIndicators = field(default_factory=ElevatorIndicators)
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passenger_destinations: Dict[int, int] = {} # passenger_id -> floor
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energy_consumed: float = 0.0
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energy_rate: float = 1.0 # Energy consumption rate per tick
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last_update_tick: int = 0
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Key Properties:
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@@ -142,6 +143,11 @@ Key Properties:
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- ``pressed_floors``: List of destination floors for current passengers
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- ``load_factor``: Current load as fraction of capacity (0.0 to 1.0)
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Energy Tracking:
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- ``energy_consumed``: Total energy consumed by this elevator during the simulation
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- ``energy_rate``: Energy consumption rate per tick when moving (default: 1.0). Can be customized in traffic configuration files to simulate different elevator types (e.g., older elevators with higher rates, newer energy-efficient elevators with lower rates)
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FloorState
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~~~~~~~~~~
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@@ -261,11 +267,16 @@ Tracks simulation performance:
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p95_floor_wait_time: float = 0.0 # 95th percentile
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average_arrival_wait_time: float = 0.0
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p95_arrival_wait_time: float = 0.0 # 95th percentile
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total_energy_consumption: float = 0.0 # Total energy consumed by all elevators
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Properties:
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- ``completion_rate``: Fraction of passengers completed (0.0 to 1.0)
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Energy Metrics:
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- ``total_energy_consumption``: Sum of energy consumed by all elevators in the system. Each elevator consumes ``energy_rate`` units of energy per tick when moving.
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API Models
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----------
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@@ -345,3 +356,75 @@ All models support JSON serialization:
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restored = ElevatorState.from_dict(data)
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This enables seamless transmission over HTTP between client and server.
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Energy System
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-------------
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Overview
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~~~~~~~~
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The energy system tracks energy consumption of elevators to help optimize control algorithms for both passenger service and energy efficiency.
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How Energy Works
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~~~~~~~~~~~~~~~~
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**Energy Consumption:**
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- Each elevator has an ``energy_rate`` attribute (default: 1.0)
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- When an elevator moves (any tick where it's not stopped), it consumes energy equal to its ``energy_rate``
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- Energy consumption is independent of speed, direction, or load
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- Total system energy is the sum of all individual elevator energy consumption
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**Configuration:**
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Energy rates are configured in traffic JSON files via the ``elevator_energy_rates`` field:
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.. code-block:: json
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{
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"building": {
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"floors": 10,
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"elevators": 3,
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"elevator_capacity": 10,
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"elevator_energy_rates": [1.0, 1.0, 1.2],
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"scenario": "custom_scenario",
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"duration": 600
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},
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"traffic": []
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}
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In this example, elevators 0 and 1 have standard energy rates (1.0), while elevator 2 consumes 20% more energy (1.2), perhaps representing an older or less efficient unit.
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**Use Cases:**
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1. **Algorithm Optimization**: Balance passenger wait times against energy consumption
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2. **Heterogeneous Fleets**: Model buildings with elevators of different ages/efficiencies
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3. **Cost Analysis**: Evaluate the energy cost of different control strategies
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4. **Green Building Simulation**: Optimize for minimal energy while maintaining service quality
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Example Usage
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~~~~~~~~~~~~~
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.. code-block:: python
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# Get current state
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state = api_client.get_state()
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# Check individual elevator energy
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for elevator in state.elevators:
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print(f"Elevator {elevator.id}: {elevator.energy_consumed} units consumed")
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print(f" Energy rate: {elevator.energy_rate} units/tick")
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# Check total system energy
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metrics = state.metrics
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print(f"Total system energy: {metrics.total_energy_consumption} units")
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print(f"Completed passengers: {metrics.completed_passengers}")
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# Calculate energy per passenger
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if metrics.completed_passengers > 0:
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energy_per_passenger = metrics.total_energy_consumption / metrics.completed_passengers
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print(f"Energy per passenger: {energy_per_passenger:.2f} units")
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**Default Behavior:**
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If ``elevator_energy_rates`` is not specified in the traffic file, all elevators default to an energy rate of 1.0, ensuring backward compatibility with existing traffic files.
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@@ -6,5 +6,5 @@ A Python implementation of the Elevator Saga game with event-driven architecture
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realistic elevator dispatch algorithm development and testing.
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"""
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__version__ = "0.0.8"
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__version__ = "0.0.9"
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__author__ = "ZGCA Team"
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@@ -211,6 +211,7 @@ class ElevatorState(SerializableModel):
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indicators: ElevatorIndicators = field(default_factory=ElevatorIndicators)
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passenger_destinations: Dict[int, int] = field(default_factory=dict) # 乘客ID -> 目的地楼层映射
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energy_consumed: float = 0.0
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energy_rate: float = 1.0 # 能耗率:每tick消耗的能量单位
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last_update_tick: int = 0
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@property
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@@ -337,7 +338,7 @@ class PerformanceMetrics(SerializableModel):
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p95_floor_wait_time: float = 0.0
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average_arrival_wait_time: float = 0.0
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p95_arrival_wait_time: float = 0.0
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# total_energy_consumption: float = 0.0
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total_energy_consumption: float = 0.0
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@property
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def completion_rate(self) -> float:
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@@ -346,13 +347,6 @@ class PerformanceMetrics(SerializableModel):
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return 0.0
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return self.completed_passengers / self.total_passengers
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# @property
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# def energy_per_passenger(self) -> float:
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# """每位乘客能耗"""
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# if self.completed_passengers == 0:
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# return 0.0
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# return self.total_energy_consumption / self.completed_passengers
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@dataclass
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class SimulationState(SerializableModel):
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@@ -180,6 +180,14 @@ class ElevatorSimulation:
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building_config["elevators"], building_config["floors"], building_config["elevator_capacity"]
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)
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self.reset()
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# 设置电梯能耗率
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elevator_energy_rates = building_config.get("elevator_energy_rates", [1.0] * building_config["elevators"])
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for i, elevator in enumerate(self.state.elevators):
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if i < len(elevator_energy_rates):
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elevator.energy_rate = elevator_energy_rates[i]
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server_debug_log(f"电梯 E{elevator.id} 能耗率设置为: {elevator.energy_rate}")
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self.max_duration_ticks = building_config["duration"]
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traffic_data: list[Dict[str, Any]] = file_data["traffic"]
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traffic_data.sort(key=lambda t: cast(int, t["tick"]))
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@@ -380,8 +388,12 @@ class ElevatorSimulation:
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old_position = elevator.position.current_floor_float
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if elevator.target_floor_direction == Direction.UP:
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new_floor = elevator.position.floor_up_position_add(movement_speed)
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# 电梯移动时增加能耗,每tick增加电梯的能耗率
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elevator.energy_consumed += elevator.energy_rate
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elif elevator.target_floor_direction == Direction.DOWN:
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new_floor = elevator.position.floor_up_position_add(-movement_speed)
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# 电梯移动时增加能耗,每tick增加电梯的能耗率
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elevator.energy_consumed += elevator.energy_rate
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else:
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# 之前的状态已经是到站了,清空上一次到站的方向
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pass
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@@ -435,7 +447,6 @@ class ElevatorSimulation:
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self._emit_event(
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EventType.STOPPED_AT_FLOOR, {"elevator": elevator.id, "floor": new_floor, "reason": "move_reached"}
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)
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# elevator.energy_consumed += abs(direction * elevator.speed_pre_tick) * 0.5
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def _process_elevator_stops(self) -> None:
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"""
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@@ -553,6 +564,10 @@ class ElevatorSimulation:
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completed = [p for p in self.state.passengers.values() if p.status == PassengerStatus.COMPLETED]
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total_passengers = len(self.state.passengers)
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# 计算总能耗
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total_energy = sum(elevator.energy_consumed for elevator in self.state.elevators)
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if not completed:
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return PerformanceMetrics(
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completed_passengers=0,
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@@ -561,6 +576,7 @@ class ElevatorSimulation:
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p95_floor_wait_time=0,
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average_arrival_wait_time=0,
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p95_arrival_wait_time=0,
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total_energy_consumption=total_energy,
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)
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floor_wait_times = [float(p.floor_wait_time) for p in completed]
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@@ -586,6 +602,7 @@ class ElevatorSimulation:
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p95_floor_wait_time=average_excluding_top_percent(floor_wait_times, 5),
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average_arrival_wait_time=sum(arrival_wait_times) / len(arrival_wait_times) if arrival_wait_times else 0,
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p95_arrival_wait_time=average_excluding_top_percent(arrival_wait_times, 5),
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total_energy_consumption=total_energy,
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)
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def get_events(self, since_tick: int = 0) -> List[SimulationEvent]:
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@@ -290,7 +290,7 @@ def generate_fire_evacuation_traffic(
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for floor in range(1, floors):
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# 每层随机数量的人需要疏散
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num_people = random.randint(people_per_floor[0], people_per_floor[1])
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for i in range(num_people):
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for _ in range(num_people):
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# 在10个tick内陆续到达,模拟疏散的紧急性
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arrival_tick = alarm_tick + random.randint(0, min(10, duration - alarm_tick - 1))
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if arrival_tick < duration:
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@@ -791,10 +791,12 @@ def generate_traffic_file(scenario: str, output_file: str, scale: Optional[str]
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traffic_data = generator_func(**generator_params)
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# 准备building配置
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num_elevators = params["elevators"]
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building_config = {
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"floors": params["floors"],
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"elevators": params["elevators"],
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"elevators": num_elevators,
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"elevator_capacity": params["elevator_capacity"],
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"elevator_energy_rates": [1.0] * num_elevators, # 每台电梯的能耗率,默认为1.0
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"scenario": scenario,
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"scale": scale,
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"description": f"{config['description']} ({scale}规模)",
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@@ -835,7 +837,7 @@ def generate_scaled_traffic_files(
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if custom_building:
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floors = custom_building.get("floors", BUILDING_SCALES[scale]["floors"][0])
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elevators = custom_building.get("elevators", BUILDING_SCALES[scale]["elevators"][0])
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elevator_capacity = custom_building.get("capacity", BUILDING_SCALES[scale]["capacity"][0])
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_elevator_capacity = custom_building.get("capacity", BUILDING_SCALES[scale]["capacity"][0])
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# 重新确定规模
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detected_scale = determine_building_scale(floors, elevators)
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