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| """
DADSS 呼吸式被动酒驾检测系统
原理：舱内空气中酒精浓度 → 驾驶员呼吸区定位 → BAC估算
核心挑战：区分驾驶员酒精 vs 环境干扰
"""
import numpy as np
from typing import Tuple
class DADSSBreathSystem:
"""DADSS 呼吸式检测系统"""
def __init__(self):
self.sensors = [
{"id": "steering_column", "type": "alcohol", "range": "0-500ppm"},
{"id": "driver_vent", "type": "alcohol+CO2", "range": "0-500ppm/0-5000ppm"},
{"id": "passenger_vent", "type": "alcohol+CO2", "range": "0-500ppm/0-5000ppm"},
{"id": "ambient", "type": "alcohol", "range": "0-500ppm"},
]
self.bac_ratio = 0.21
self.legal_limit = 0.08
self.detection_threshold = 0.04
def locate_driver_breath(self, sensor_data: dict) -> bool:
"""
通过 CO2 浓度梯度定位驾驶员呼吸区
DADSS 方法：
1. 驾驶员呼吸区 CO2 > 800ppm（正常空气 ~400ppm）
2. 驾驶员侧 CO2 明显高于乘客侧
3. CO2 峰值与呼吸频率匹配
"""
driver_co2 = sensor_data.get("driver_vent_co2", 400)
passenger_co2 = sensor_data.get("passenger_vent_co2", 400)
co2_gradient = driver_co2 - passenger_co2
if co2_gradient < 200:
print(f"⚠️ CO2梯度不足: {co2_gradient}ppm")
print(" 可能原因：驾驶员未呼气/空调循环/乘客也在此侧")
return False
return True
def estimate_bac(self, alcohol_ppm: float, co2_ppm: float) -> Tuple[float, float]:
"""
估算 BAC
Args:
alcohol_ppm: 驾驶员呼吸区酒精浓度
co2_ppm: 驾驶员呼吸区 CO2
Returns:
(bac_estimate, confidence)
"""
breath_fraction = min(1.0, co2_ppm / 40000)
normalized_alcohol = alcohol_ppm / max(breath_fraction, 0.01)
bac = normalized_alcohol / 1e6 * self.bac_ratio
if co2_ppm < 800:
confidence = 0.5
elif co2_ppm < 1500:
confidence = 0.7
else:
confidence = 0.9
return bac, confidence
def test_scenarios(self):
"""测试关键场景"""
scenarios = [
{
"name": "正常驾驶（无酒精）",
"data": {"driver_vent_alc": 2, "driver_vent_co2": 1200,
"passenger_vent_co2": 500, "ambient_alc": 2},
"expected": "BAC < 0.02"
},
{
"name": "驾驶员酒后（BAC=0.10）",
"data": {"driver_vent_alc": 120, "driver_vent_co2": 2000,
"passenger_vent_co2": 500, "ambient_alc": 5},
"expected": "BAC ≈ 0.10"
},
{
"name": "乘客喝酒（驾驶员清醒）",
"data": {"driver_vent_alc": 30, "driver_vent_co2": 1200,
"passenger_vent_co2": 1800, "ambient_alc": 40},
"expected": "BAC < 0.02 (干扰消除)"
},
{
"name": "使用洗手液",
"data": {"driver_vent_alc": 200, "driver_vent_co2": 800,
"passenger_vent_co2": 700, "ambient_alc": 180},
"expected": "误报风险！"
},
{
"name": "开窗高速行驶",
"data": {"driver_vent_alc": 15, "driver_vent_co2": 450,
"passenger_vent_co2": 430, "ambient_alc": 10},
"expected": "CO2定位失败"
},
]
print("=== DADSS 呼吸式系统场景测试 ===\n")
for s in scenarios:
d = s["data"]
located = self.locate_driver_breath(d)
if located:
bac, conf = self.estimate_bac(
d.get("driver_vent_alc", 0),
d.get("driver_vent_co2", 400)
)
print(f"场景: {s['name']}")
print(f" BAC估算: {bac:.3f} (置信度: {conf*100:.0f}%)")
print(f" 预期: {s['expected']}")
if bac > self.legal_limit and "误报" in s['expected']:
print(f" ❌ 误报！")
else:
print(f"场景: {s['name']}")
print(f" 无法定位驾驶员呼吸区")
print(f" 预期: {s['expected']}")
print()
system = DADSSBreathSystem()
system.test_scenarios()
|