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| """ 智能健康座舱无感体征监测系统架构
核心能力: - 无需接触即可采集多项生理数据 - 配合健康大模型生成个人健康档案 - 实时异常检测和主动干预 """
from dataclasses import dataclass, field from typing import List, Optional, Dict from enum import Enum
class HealthMetric(str, Enum): HEART_RATE = "heart_rate" BLOOD_PRESSURE = "blood_pressure" BLOOD_OXYGEN = "blood_oxygen" TEMPERATURE = "temperature" BLINK_FREQUENCY = "blink_frequency" BREATHING_RATE = "breathing_rate" EMOTION_STATE = "emotion_state"
class AlertLevel(int, Enum): NORMAL = 0 ATTENTION = 1 WARNING = 2 CRITICAL = 3
@dataclass class VitalsReading: """生命体征读数""" metric: HealthMetric value: float unit: str confidence: float source: str
class HealthCabinSystem: """ 智能健康座舱系统 传感器层 → 感知层 → 健康评估层 → 干预层 """ def __init__(self): self.normal_ranges = { HealthMetric.HEART_RATE: (60, 100, "bpm"), HealthMetric.BLOOD_PRESSURE: (90, 140, "mmHg"), HealthMetric.BLOOD_OXYGEN: (95, 100, "%"), HealthMetric.TEMPERATURE: (36.1, 37.2, "°C"), HealthMetric.BLINK_FREQUENCY: (10, 20, "次/分"), HealthMetric.BREATHING_RATE: (12, 20, "次/分"), } self.emotion_interventions = { "angry": { "lighting": "cool_blue", "music": "calm_classical", "chassis": "safety_mode", "message": "检测到情绪激动,已启用安全模式" }, "sad": { "lighting": "warm_amber", "music": "uplifting", "message": "为您播放舒缓音乐" }, "stressed": { "lighting": "soft_green", "music": "nature_sounds", "climate": "comfort_temp", "message": "检测到压力偏高,已调节座舱环境" }, "drowsy": { "lighting": "bright_cool", "climate": "fresh_air", "seat": "vibrate_pulse", "message": "检测到疲劳,请注意休息" } } def assess_vitals(self, readings: List[VitalsReading]) -> Dict: """评估生命体征""" alerts = [] overall_status = AlertLevel.NORMAL for reading in readings: if reading.metric in self.normal_ranges: low, high, unit = self.normal_ranges[reading.metric] if reading.value < low or reading.value > high: if reading.metric == HealthMetric.HEART_RATE: if reading.value > 120 or reading.value < 40: level = AlertLevel.CRITICAL overall_status = max(overall_status, level) else: level = AlertLevel.WARNING overall_status = max(overall_status, level) elif reading.metric == HealthMetric.BLOOD_OXYGEN: if reading.value < 90: level = AlertLevel.CRITICAL overall_status = max(overall_status, level) else: level = AlertLevel.WARNING overall_status = max(overall_status, level) else: level = AlertLevel.ATTENTION overall_status = max(overall_status, level) alerts.append({ 'metric': reading.metric.value, 'value': reading.value, 'normal_range': (low, high), 'level': level, 'message': f"{reading.metric.value} " f"={reading.value}{reading.unit} " f"(正常: {low}-{high}{unit})" }) return { 'overall_status': overall_status, 'alerts': alerts, 'readings_count': len(readings) } def compute_intervention(self, emotion: str, vitals_status: Dict) -> Dict: """计算干预方案""" intervention = self.emotion_interventions.get( emotion, {} ).copy() if vitals_status['overall_status'] >= AlertLevel.CRITICAL: intervention['emergency_call'] = True intervention['message'] = "生命体征异常,已联系紧急服务" elif vitals_status['overall_status'] >= AlertLevel.WARNING: intervention['hvac_adjust'] = True return intervention
if __name__ == "__main__": system = HealthCabinSystem() normal_readings = [ VitalsReading(HealthMetric.HEART_RATE, 72, "bpm", 0.95, "rPPG"), VitalsReading(HealthMetric.BLOOD_OXYGEN, 98, "%", 0.90, "rPPG"), VitalsReading(HealthMetric.BREATHING_RATE, 16, "次/分", 0.85, "radar"), ] status1 = system.assess_vitals(normal_readings) intervention1 = system.compute_intervention("neutral", status1) print(f"场景1 - 正常驾驶:") print(f" 状态: {status1['overall_status'].name}") print(f" 告警数: {len(status1['alerts'])}") print(f" 干预: {intervention1.get('message', '无')}") angry_readings = [ VitalsReading(HealthMetric.HEART_RATE, 110, "bpm", 0.90, "rPPG"), VitalsReading(HealthMetric.BLOOD_PRESSURE, 150, "mmHg", 0.80, "rPPG"), VitalsReading(HealthMetric.BREATHING_RATE, 24, "次/分", 0.85, "radar"), ] status2 = system.assess_vitals(angry_readings) intervention2 = system.compute_intervention("angry", status2) print(f"\n场景2 - 路怒:") print(f" 状态: {status2['overall_status'].name}") print(f" 告警: {[a['message'] for a in status2['alerts']]}") print(f" 干预: {intervention2}") child_readings = [ VitalsReading(HealthMetric.HEART_RATE, 130, "bpm", 0.88, "radar"), VitalsReading(HealthMetric.BLOOD_OXYGEN, 92, "%", 0.85, "rPPG"), ] status3 = system.assess_vitals(child_readings) intervention3 = system.compute_intervention("neutral", status3) print(f"\n场景3 - 儿童心率异常:") print(f" 状态: {status3['overall_status'].name}") print(f" 告警: {[a['message'] for a in status3['alerts']]}") print(f" 干预: {intervention3}")
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