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| """
区域计算架构下的 IMS 部署框架
"""
from dataclasses import dataclass
from typing import List, Optional
from enum import Enum
class ProcessingTier(Enum):
"""处理层级"""
SENSOR_EDGE = 0
ZONAL = 1
CENTRAL = 2
@dataclass
class SensorModule:
"""智能传感器模块"""
name: str
sensor_type: str
processing_tier: ProcessingTier
output_interface: str
output_data: str
power_w: float
latency_ms: float
class ZonalArchitecture:
"""
区域计算座舱感知架构
原则：数据在产生端处理，只传结果
"""
def __init__(self):
self.modules = [
SensorModule(
name="DMS-Cam-Front",
sensor_type="camera",
processing_tier=ProcessingTier.SENSOR_EDGE,
output_interface="CAN-FD",
output_data="driver_state_json",
power_w=1.5,
latency_ms=30
),
SensorModule(
name="OMS-Cam-Rear",
sensor_type="camera",
processing_tier=ProcessingTier.SENSOR_EDGE,
output_interface="CAN-FD",
output_data="occupant_state_json",
power_w=1.5,
latency_ms=30
),
SensorModule(
name="CPD-Radar-60G",
sensor_type="radar",
processing_tier=ProcessingTier.SENSOR_EDGE,
output_interface="CAN-FD",
output_data="presence_status",
power_w=0.8,
latency_ms=100
),
SensorModule(
name="UWB-CPD",
sensor_type="uwb",
processing_tier=ProcessingTier.SENSOR_EDGE,
output_interface="CAN-FD",
output_data="breathing_detected",
power_w=0.3,
latency_ms=200
),
]
def get_architecture_summary(self) -> dict:
"""架构摘要"""
total_power = sum(m.power_w for m in self.modules)
max_latency = max(m.latency_ms for m in self.modules)
return {
'total_modules': len(self.modules),
'total_power_w': total_power,
'max_latency_ms': max_latency,
'can_bus_load_percent': len(self.modules) * 5,
'central_compute_needed': False,
'wire_harness_complexity': 'LOW',
}
def compare_with_centralized(self) -> dict:
"""与集中式架构对比"""
return {
'指标': ['功耗(W)', '延迟(ms)', '线束复杂度', '散热需求', '隐私', '成本'],
'区域计算': [4.1, 200, '低', '低', '✅ 高', '低'],
'集中式': [15.0, 50, '高', '高', '❌ 低', '高'],
}
if __name__ == "__main__":
arch = ZonalArchitecture()
summary = arch.get_architecture_summary()
print("=== 区域计算架构摘要 ===")
for k, v in summary.items():
print(f" {k}: {v}")
print("\n=== 与集中式对比 ===")
comparison = arch.compare_with_centralized()
for metric, zonal, central in zip(
comparison['指标'],
comparison['区域计算'],
comparison['集中式']
):
print(f" {metric}: 区域={zonal}, 集中={central}")
|